From 7e87549a312a19a389c474f10b511b63737fcbe3 Mon Sep 17 00:00:00 2001 From: LukasMasuch <LukasMasuch@users.noreply.github.com> Date: Thu, 1 Feb 2024 15:03:28 +0000 Subject: [PATCH] Update best-of list for version 2024.02.01 --- README.md | 4115 +++++++++++++++---------------- history/2024-02-01_changes.md | 36 + history/2024-02-01_projects.csv | 918 +++++++ latest-changes.md | 46 +- 4 files changed, 3003 insertions(+), 2112 deletions(-) create mode 100644 history/2024-02-01_changes.md create mode 100644 history/2024-02-01_projects.csv diff --git a/README.md b/README.md index 45ff34b2..7e14ac88 100644 --- a/README.md +++ b/README.md @@ -31,7 +31,7 @@ This curated list contains 920 awesome open-source projects with a total of 4.3M ## Contents -- [Machine Learning Frameworks](#machine-learning-frameworks) _61 projects_ +- [Machine Learning Frameworks](#machine-learning-frameworks) _62 projects_ - [Data Visualization](#data-visualization) _54 projects_ - [Text Data & NLP](#text-data--nlp) _102 projects_ - [Image Data](#image-data) _64 projects_ @@ -99,50 +99,50 @@ This curated list contains 920 awesome open-source projects with a total of 4.3M _General-purpose machine learning and deep learning frameworks._ -<details><summary><b><a href="https://github.com/tensorflow/tensorflow">Tensorflow</a></b> (π₯54 Β· β 180K Β· π) - An Open Source Machine Learning Framework for Everyone. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary> +<details><summary><b><a href="https://github.com/tensorflow/tensorflow">Tensorflow</a></b> (π₯55 Β· β 180K) - An Open Source Machine Learning Framework for Everyone. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/tensorflow/tensorflow) (π¨βπ» 4.5K Β· π 72K Β· π¦ 340K Β· π 39K - 4% open Β· β±οΈ 25.01.2024): +- [GitHub](https://github.com/tensorflow/tensorflow) (π¨βπ» 4.5K Β· π 89K Β· π¦ 340K Β· π 39K - 5% open Β· β±οΈ 01.02.2024): ``` git clone https://github.com/tensorflow/tensorflow ``` -- [PyPi](https://pypi.org/project/tensorflow) (π₯ 17M / month): +- [PyPi](https://pypi.org/project/tensorflow) (π₯ 18M / month Β· π¦ 15K Β· β±οΈ 18.01.2024): ``` pip install tensorflow ``` -- [Conda](https://anaconda.org/conda-forge/tensorflow) (π₯ 4.5M Β· β±οΈ 21.01.2024): +- [Conda](https://anaconda.org/conda-forge/tensorflow) (π₯ 4.5M Β· β±οΈ 30.01.2024): ``` conda install -c conda-forge tensorflow ``` -- [Docker Hub](https://hub.docker.com/r/tensorflow/tensorflow) (π₯ 76M Β· β 2.3K Β· β±οΈ 25.01.2024): +- [Docker Hub](https://hub.docker.com/r/tensorflow/tensorflow) (π₯ 76M Β· β 2.3K Β· β±οΈ 01.02.2024): ``` docker pull tensorflow/tensorflow ``` </details> <details><summary><b><a href="https://github.com/pytorch/pytorch">PyTorch</a></b> (π₯54 Β· β 75K) - Tensors and Dynamic neural networks in Python with strong GPU.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/pytorch/pytorch) (π¨βπ» 4.6K Β· π 20K Β· π₯ 33K Β· π¦ 380K Β· π 39K - 31% open Β· β±οΈ 25.01.2024): +- [GitHub](https://github.com/pytorch/pytorch) (π¨βπ» 4.6K Β· π 21K Β· π₯ 33K Β· π¦ 380K Β· π 40K - 32% open Β· β±οΈ 01.02.2024): ``` git clone https://github.com/pytorch/pytorch ``` -- [PyPi](https://pypi.org/project/torch) (π₯ 16M / month): +- [PyPi](https://pypi.org/project/torch) (π₯ 17M / month Β· π¦ 12K Β· β±οΈ 30.01.2024): ``` pip install torch ``` -- [Conda](https://anaconda.org/pytorch/pytorch) (π₯ 20M Β· β±οΈ 14.12.2023): +- [Conda](https://anaconda.org/pytorch/pytorch) (π₯ 20M Β· β±οΈ 29.01.2024): ``` conda install -c pytorch pytorch ``` </details> <details><summary><b><a href="https://github.com/scikit-learn/scikit-learn">scikit-learn</a></b> (π₯52 Β· β 57K) - scikit-learn: machine learning in Python. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/scikit-learn/scikit-learn) (π¨βπ» 3.1K Β· π 25K Β· π₯ 940 Β· π¦ 690K Β· π 11K - 20% open Β· β±οΈ 25.01.2024): +- [GitHub](https://github.com/scikit-learn/scikit-learn) (π¨βπ» 3.1K Β· π 25K Β· π₯ 940 Β· π¦ 690K Β· π 11K - 20% open Β· β±οΈ 01.02.2024): ``` git clone https://github.com/scikit-learn/scikit-learn ``` -- [PyPi](https://pypi.org/project/scikit-learn) (π₯ 45M / month Β· π¦ 31K Β· β±οΈ 18.01.2024): +- [PyPi](https://pypi.org/project/scikit-learn) (π₯ 49M / month Β· π¦ 31K Β· β±οΈ 18.01.2024): ``` pip install scikit-learn ``` @@ -151,14 +151,30 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c conda-forge scikit-learn ``` </details> -<details><summary><b><a href="https://github.com/google/jax">jax</a></b> (π₯45 Β· β 26K) - Composable transformations of Python+NumPy programs: differentiate,.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> +<details><summary><b><a href="https://github.com/keras-team/keras">Keras</a></b> (π₯47 Β· β 60K Β· π) - Deep Learning for humans. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/google/jax) (π¨βπ» 620 Β· π 2.4K Β· π¦ 21K Β· π 4.9K - 25% open Β· β±οΈ 25.01.2024): +- [GitHub](https://github.com/keras-team/keras) (π¨βπ» 1.3K Β· π 20K Β· π 12K - 1% open Β· β±οΈ 01.02.2024): + + ``` + git clone https://github.com/keras-team/keras + ``` +- [PyPi](https://pypi.org/project/keras) (π₯ 14M / month Β· π¦ 740 Β· β±οΈ 20.01.2024): + ``` + pip install keras + ``` +- [Conda](https://anaconda.org/conda-forge/keras) (π₯ 3.4M Β· β±οΈ 21.01.2024): + ``` + conda install -c conda-forge keras + ``` +</details> +<details><summary><b><a href="https://github.com/google/jax">jax</a></b> (π₯46 Β· β 26K) - Composable transformations of Python+NumPy programs: differentiate,.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> + +- [GitHub](https://github.com/google/jax) (π¨βπ» 630 Β· π 2.5K Β· π¦ 21K Β· π 5.2K - 29% open Β· β±οΈ 01.02.2024): ``` git clone https://github.com/google/jax ``` -- [PyPi](https://pypi.org/project/jax) (π₯ 4.8M / month): +- [PyPi](https://pypi.org/project/jax) (π₯ 5.3M / month Β· π¦ 830 Β· β±οΈ 14.12.2023): ``` pip install jax ``` @@ -167,14 +183,30 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c conda-forge jaxlib ``` </details> +<details><summary><b><a href="https://github.com/apache/spark">PySpark</a></b> (π₯45 Β· β 38K Β· π) - Apache Spark Python API. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1N" style="display:inline;" width="13" height="13"></code></summary> + +- [GitHub](https://github.com/apache/spark) (π¨βπ» 3K Β· π 28K Β· β±οΈ 01.02.2024): + + ``` + git clone https://github.com/apache/spark + ``` +- [PyPi](https://pypi.org/project/pyspark) (π₯ 30M / month Β· π¦ 1.3K Β· β±οΈ 16.12.2023): + ``` + pip install pyspark + ``` +- [Conda](https://anaconda.org/conda-forge/pyspark) (π₯ 3M Β· β±οΈ 04.10.2023): + ``` + conda install -c conda-forge pyspark + ``` +</details> <details><summary><b><a href="https://github.com/Lightning-AI/pytorch-lightning">pytorch-lightning</a></b> (π₯45 Β· β 26K) - Pretrain, finetune and deploy AI models on multiple.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/Lightning-AI/pytorch-lightning) (π¨βπ» 930 Β· π 3.1K Β· π₯ 14K Β· π¦ 28K Β· π 6.7K - 9% open Β· β±οΈ 25.01.2024): +- [GitHub](https://github.com/Lightning-AI/pytorch-lightning) (π¨βπ» 930 Β· π 3.2K Β· π₯ 14K Β· π¦ 29K Β· π 6.7K - 9% open Β· β±οΈ 01.02.2024): ``` git clone https://github.com/Lightning-AI/lightning ``` -- [PyPi](https://pypi.org/project/pytorch-lightning) (π₯ 4.4M / month): +- [PyPi](https://pypi.org/project/pytorch-lightning) (π₯ 4.7M / month Β· π¦ 780 Β· β±οΈ 21.12.2023): ``` pip install pytorch-lightning ``` @@ -185,7 +217,7 @@ _General-purpose machine learning and deep learning frameworks._ </details> <details><summary><b><a href="https://github.com/dmlc/xgboost">XGBoost</a></b> (π₯45 Β· β 25K) - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> -- [GitHub](https://github.com/dmlc/xgboost) (π¨βπ» 630 Β· π 8.7K Β· π₯ 8K Β· π¦ 79K Β· π 5.1K - 8% open Β· β±οΈ 25.01.2024): +- [GitHub](https://github.com/dmlc/xgboost) (π¨βπ» 640 Β· π 8.7K Β· π₯ 8K Β· π¦ 79K Β· π 5.1K - 8% open Β· β±οΈ 31.01.2024): ``` git clone https://github.com/dmlc/xgboost @@ -201,24 +233,24 @@ _General-purpose machine learning and deep learning frameworks._ </details> <details><summary><b><a href="https://github.com/PaddlePaddle/Paddle">PaddlePaddle</a></b> (π₯45 Β· β 21K) - PArallel Distributed Deep LEarning: Machine Learning.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1M" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/PaddlePaddle/Paddle) (π¨βπ» 1.2K Β· π 5.2K Β· π₯ 15K Β· π¦ 4.6K Β· π 18K - 5% open Β· β±οΈ 25.01.2024): +- [GitHub](https://github.com/PaddlePaddle/Paddle) (π¨βπ» 1.2K Β· π 5.4K Β· π₯ 15K Β· π¦ 4.6K Β· π 19K - 10% open Β· β±οΈ 01.02.2024): ``` git clone https://github.com/PaddlePaddle/Paddle ``` -- [PyPi](https://pypi.org/project/paddlepaddle) (π₯ 180K / month): +- [PyPi](https://pypi.org/project/paddlepaddle) (π₯ 220K / month Β· π¦ 94 Β· β±οΈ 26.12.2023): ``` pip install paddlepaddle ``` </details> -<details><summary><b><a href="https://github.com/statsmodels/statsmodels">StatsModels</a></b> (π₯45 Β· β 9.2K) - Statsmodels: statistical modeling and econometrics in Python. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary> +<details><summary><b><a href="https://github.com/statsmodels/statsmodels">StatsModels</a></b> (π₯45 Β· β 9.3K) - Statsmodels: statistical modeling and econometrics in Python. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary> -- [GitHub](https://github.com/statsmodels/statsmodels) (π¨βπ» 420 Β· π 2.6K Β· π₯ 30 Β· π¦ 110K Β· π 5.3K - 48% open Β· β±οΈ 18.01.2024): +- [GitHub](https://github.com/statsmodels/statsmodels) (π¨βπ» 420 Β· π 2.8K Β· π₯ 30 Β· π¦ 110K Β· π 5.4K - 49% open Β· β±οΈ 18.01.2024): ``` git clone https://github.com/statsmodels/statsmodels ``` -- [PyPi](https://pypi.org/project/statsmodels) (π₯ 12M / month): +- [PyPi](https://pypi.org/project/statsmodels) (π₯ 13M / month Β· π¦ 5.6K Β· β±οΈ 14.12.2023): ``` pip install statsmodels ``` @@ -227,22 +259,6 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c conda-forge statsmodels ``` </details> -<details><summary><b><a href="https://github.com/keras-team/keras">Keras</a></b> (π₯43 Β· β 60K) - Deep Learning for humans. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary> - -- [GitHub](https://github.com/keras-team/keras) (π¨βπ» 1.3K Β· π 19K Β· π 12K - 1% open Β· β±οΈ 25.01.2024): - - ``` - git clone https://github.com/keras-team/keras - ``` -- [PyPi](https://pypi.org/project/keras) (π₯ 13M / month): - ``` - pip install keras - ``` -- [Conda](https://anaconda.org/conda-forge/keras) (π₯ 3.4M Β· β±οΈ 21.01.2024): - ``` - conda install -c conda-forge keras - ``` -</details> <details><summary><b><a href="https://github.com/microsoft/LightGBM">LightGBM</a></b> (π₯43 Β· β 16K) - A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT,.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> - [GitHub](https://github.com/microsoft/LightGBM) (π¨βπ» 300 Β· π 3.8K Β· π₯ 210K Β· π¦ 29K Β· π 3.2K - 10% open Β· β±οΈ 25.01.2024): @@ -250,23 +266,23 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/microsoft/LightGBM ``` -- [PyPi](https://pypi.org/project/lightgbm) (π₯ 6.5M / month Β· π¦ 870 Β· β±οΈ 22.12.2023): +- [PyPi](https://pypi.org/project/lightgbm) (π₯ 6.9M / month Β· π¦ 880 Β· β±οΈ 26.01.2024): ``` pip install lightgbm ``` -- [Conda](https://anaconda.org/conda-forge/lightgbm) (π₯ 2.2M Β· β±οΈ 22.12.2023): +- [Conda](https://anaconda.org/conda-forge/lightgbm) (π₯ 2.2M Β· β±οΈ 26.01.2024): ``` conda install -c conda-forge lightgbm ``` </details> <details><summary><b><a href="https://github.com/catboost/catboost">Catboost</a></b> (π₯41 Β· β 7.6K) - A fast, scalable, high performance Gradient Boosting on Decision.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> -- [GitHub](https://github.com/catboost/catboost) (π¨βπ» 1.2K Β· π 1.1K Β· π₯ 210K Β· π¦ 12 Β· π 2.2K - 23% open Β· β±οΈ 25.01.2024): +- [GitHub](https://github.com/catboost/catboost) (π¨βπ» 1.2K Β· π 1.1K Β· π₯ 220K Β· π¦ 12 Β· π 2.2K - 23% open Β· β±οΈ 01.02.2024): ``` git clone https://github.com/catboost/catboost ``` -- [PyPi](https://pypi.org/project/catboost) (π₯ 1.6M / month Β· π¦ 360 Β· β±οΈ 19.09.2023): +- [PyPi](https://pypi.org/project/catboost) (π₯ 1.7M / month Β· π¦ 360 Β· β±οΈ 19.09.2023): ``` pip install catboost ``` @@ -282,7 +298,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/jina-ai/jina ``` -- [PyPi](https://pypi.org/project/jina) (π₯ 120K / month Β· π¦ 17 Β· β±οΈ 14.12.2023): +- [PyPi](https://pypi.org/project/jina) (π₯ 130K / month Β· π¦ 17 Β· β±οΈ 14.12.2023): ``` pip install jina ``` @@ -295,42 +311,14 @@ _General-purpose machine learning and deep learning frameworks._ docker pull jinaai/jina ``` </details> -<details><summary><b><a href="https://github.com/apache/spark">PySpark</a></b> (π₯38 Β· β 38K Β· π) - Apache Spark Python API. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1N" style="display:inline;" width="13" height="13"></code></summary> - -- [GitHub](https://github.com/apache/spark) (π¨βπ» 3K Β· π 26K Β· β±οΈ 25.01.2024): - - ``` - git clone https://github.com/apache/spark - ``` -- [PyPi](https://pypi.org/project/pyspark) (π₯ 29M / month): - ``` - pip install pyspark - ``` -- [Conda](https://anaconda.org/conda-forge/pyspark) (π₯ 3M Β· β±οΈ 04.10.2023): - ``` - conda install -c conda-forge pyspark - ``` -</details> -<details><summary><b><a href="https://github.com/fastai/fastai">Fastai</a></b> (π₯38 Β· β 25K) - The fastai deep learning library. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> - -- [GitHub](https://github.com/fastai/fastai) (π¨βπ» 660 Β· π 7.5K Β· π¦ 16K Β· π 1.8K - 11% open Β· β±οΈ 07.01.2024): - - ``` - git clone https://github.com/fastai/fastai - ``` -- [PyPi](https://pypi.org/project/fastai) (π₯ 370K / month Β· π¦ 350 Β· β±οΈ 15.10.2023): - ``` - pip install fastai - ``` -</details> -<details><summary><b><a href="https://github.com/Theano/Theano">Theano</a></b> (π₯38 Β· β 9.8K) - Theano was a Python library that allows you to define, optimize, and.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary> +<details><summary><b><a href="https://github.com/Theano/Theano">Theano</a></b> (π₯39 Β· β 9.8K) - Theano was a Python library that allows you to define, optimize, and.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary> - [GitHub](https://github.com/Theano/Theano) (π¨βπ» 390 Β· π 2.5K Β· π¦ 15K Β· π 2.8K - 24% open Β· β±οΈ 15.01.2024): ``` git clone https://github.com/Theano/Theano ``` -- [PyPi](https://pypi.org/project/theano) (π₯ 400K / month Β· π¦ 2.8K Β· β±οΈ 27.07.2020): +- [PyPi](https://pypi.org/project/theano) (π₯ 420K / month Β· π¦ 2.8K Β· β±οΈ 27.07.2020): ``` pip install theano ``` @@ -339,70 +327,78 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c conda-forge theano ``` </details> -<details><summary><b><a href="https://github.com/google/flax">Flax</a></b> (π₯38 Β· β 5.1K) - Flax is a neural network library for JAX that is designed for.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://jax.readthedocs.io/en/latest/_static/favicon.png" style="display:inline;" width="13" height="13"></code></summary> +<details><summary><b><a href="https://github.com/google/flax">Flax</a></b> (π₯39 Β· β 5.2K) - Flax is a neural network library for JAX that is designed for.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://jax.readthedocs.io/en/latest/_static/favicon.png" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/google/flax) (π¨βπ» 220 Β· π 550 Β· π₯ 50 Β· π¦ 5.8K Β· π 790 - 13% open Β· β±οΈ 25.01.2024): +- [GitHub](https://github.com/google/flax) (π¨βπ» 220 Β· π 580 Β· π₯ 50 Β· π¦ 5.9K Β· π 880 - 22% open Β· β±οΈ 31.01.2024): ``` git clone https://github.com/google/flax ``` -- [PyPi](https://pypi.org/project/flax) (π₯ 3M / month): +- [PyPi](https://pypi.org/project/flax) (π₯ 3.3M / month Β· π¦ 210 Β· β±οΈ 23.01.2024): ``` pip install flax ``` -- [Conda](https://anaconda.org/conda-forge/flax) (π₯ 39K Β· β±οΈ 24.01.2024): +- [Conda](https://anaconda.org/conda-forge/flax) (π₯ 40K Β· β±οΈ 24.01.2024): ``` conda install -c conda-forge flax ``` </details> -<details><summary><b><a href="https://github.com/apache/mxnet">MXNet</a></b> (π₯37 Β· β 21K Β· π€) - Lightweight, Portable, Flexible Distributed/Mobile Deep.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1X" style="display:inline;" width="13" height="13"></code></summary> +<details><summary><b><a href="https://github.com/fastai/fastai">Fastai</a></b> (π₯38 Β· β 25K) - The fastai deep learning library. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/apache/mxnet) (π¨βπ» 980 Β· π 6.9K Β· π₯ 27K Β· π¦ 7K Β· π 9.6K - 18% open Β· β±οΈ 26.01.2023): +- [GitHub](https://github.com/fastai/fastai) (π¨βπ» 660 Β· π 7.5K Β· π¦ 16K Β· π 1.8K - 11% open Β· β±οΈ 01.02.2024): ``` - git clone https://github.com/apache/incubator-mxnet + git clone https://github.com/fastai/fastai + ``` +- [PyPi](https://pypi.org/project/fastai) (π₯ 410K / month Β· π¦ 350 Β· β±οΈ 01.02.2024): + ``` + pip install fastai ``` -- [PyPi](https://pypi.org/project/mxnet) (π₯ 390K / month Β· π¦ 290 Β· β±οΈ 17.05.2022): +</details> +<details><summary><b><a href="https://github.com/apache/flink">PyFlink</a></b> (π₯37 Β· β 23K Β· π) - Apache Flink Python API. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> + +- [GitHub](https://github.com/apache/flink) (π¨βπ» 1.8K Β· π 13K Β· π¦ 21 Β· β±οΈ 01.02.2024): + ``` - pip install mxnet + git clone https://github.com/apache/flink ``` -- [Conda](https://anaconda.org/anaconda/mxnet) (π₯ 11K Β· π¦ 5 Β· β±οΈ 16.06.2023): +- [PyPi](https://pypi.org/project/apache-flink) (π₯ 44K / month Β· π¦ 24 Β· β±οΈ 15.01.2024): ``` - conda install -c anaconda mxnet + pip install apache-flink ``` </details> <details><summary><b><a href="https://github.com/unifyai/ivy">ivy</a></b> (π₯35 Β· β 14K) - The Unified AI Framework. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> -- [GitHub](https://github.com/unifyai/ivy) (π¨βπ» 1.5K Β· π 6K Β· π 17K - 7% open Β· β±οΈ 25.01.2024): +- [GitHub](https://github.com/unifyai/ivy) (π¨βπ» 1.5K Β· π 6K Β· π 17K - 7% open Β· β±οΈ 01.02.2024): ``` git clone https://github.com/unifyai/ivy ``` -- [PyPi](https://pypi.org/project/ivy) (π₯ 1.5K / month Β· π¦ 9 Β· β±οΈ 22.01.2024): +- [PyPi](https://pypi.org/project/ivy) (π₯ 1.8K / month Β· π¦ 9 Β· β±οΈ 22.01.2024): ``` pip install ivy ``` </details> <details><summary><b><a href="https://github.com/ludwig-ai/ludwig">Ludwig</a></b> (π₯35 Β· β 10K) - Low-code framework for building custom LLMs, neural networks, and.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/ludwig-ai/ludwig) (π¨βπ» 150 Β· π 1.1K Β· π¦ 240 Β· π 1K - 26% open Β· β±οΈ 23.01.2024): +- [GitHub](https://github.com/ludwig-ai/ludwig) (π¨βπ» 150 Β· π 1.2K Β· π¦ 240 Β· π 1.1K - 31% open Β· β±οΈ 29.01.2024): ``` git clone https://github.com/ludwig-ai/ludwig ``` -- [PyPi](https://pypi.org/project/ludwig) (π₯ 3.7K / month): +- [PyPi](https://pypi.org/project/ludwig) (π₯ 4.1K / month Β· π¦ 9 Β· β±οΈ 23.01.2024): ``` pip install ludwig ``` </details> <details><summary><b><a href="https://github.com/arogozhnikov/einops">einops</a></b> (π₯35 Β· β 7.6K) - Flexible and powerful tensor operations for readable and reliable code.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> -- [GitHub](https://github.com/arogozhnikov/einops) (π¨βπ» 26 Β· π 320 Β· π¦ 25K Β· π 160 - 16% open Β· β±οΈ 11.01.2024): +- [GitHub](https://github.com/arogozhnikov/einops) (π¨βπ» 26 Β· π 330 Β· π¦ 25K Β· π 170 - 19% open Β· β±οΈ 11.01.2024): ``` git clone https://github.com/arogozhnikov/einops ``` -- [PyPi](https://pypi.org/project/einops) (π₯ 6.2M / month): +- [PyPi](https://pypi.org/project/einops) (π₯ 7M / month Β· π¦ 870 Β· β±οΈ 01.10.2023): ``` pip install einops ``` @@ -413,12 +409,12 @@ _General-purpose machine learning and deep learning frameworks._ </details> <details><summary><b><a href="https://github.com/pytorch/ignite">Ignite</a></b> (π₯35 Β· β 4.4K) - High-level library to help with training and evaluating neural.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/pytorch/ignite) (π¨βπ» 200 Β· π 600 Β· π¦ 2.6K Β· π 1.4K - 8% open Β· β±οΈ 11.01.2024): +- [GitHub](https://github.com/pytorch/ignite) (π¨βπ» 410 Β· π 620 Β· π¦ 2.6K Β· π 1.4K - 11% open Β· β±οΈ 11.01.2024): ``` git clone https://github.com/pytorch/ignite ``` -- [PyPi](https://pypi.org/project/pytorch-ignite) (π₯ 310K / month): +- [PyPi](https://pypi.org/project/pytorch-ignite) (π₯ 310K / month Β· π¦ 50 Β· β±οΈ 01.02.2024): ``` pip install pytorch-ignite ``` @@ -429,12 +425,12 @@ _General-purpose machine learning and deep learning frameworks._ </details> <details><summary><b><a href="https://github.com/explosion/thinc">Thinc</a></b> (π₯35 Β· β 2.8K) - A refreshing functional take on deep learning, compatible with your favorite.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> -- [GitHub](https://github.com/explosion/thinc) (π¨βπ» 63 Β· π 270 Β· π¦ 42K Β· π 140 - 10% open Β· β±οΈ 16.01.2024): +- [GitHub](https://github.com/explosion/thinc) (π¨βπ» 63 Β· π 280 Β· π¦ 42K Β· π 140 - 11% open Β· β±οΈ 16.01.2024): ``` git clone https://github.com/explosion/thinc ``` -- [PyPi](https://pypi.org/project/thinc) (π₯ 5.2M / month): +- [PyPi](https://pypi.org/project/thinc) (π₯ 5.6M / month Β· π¦ 640 Β· β±οΈ 16.01.2024): ``` pip install thinc ``` @@ -443,42 +439,46 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c conda-forge thinc ``` </details> -<details><summary><b><a href="https://github.com/apache/flink">PyFlink</a></b> (π₯33 Β· β 23K Β· π) - Apache Flink Python API. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> +<details><summary><b><a href="https://github.com/google-deepmind/sonnet">Sonnet</a></b> (π₯33 Β· β 9.7K) - TensorFlow-based neural network library. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/apache/flink) (π¨βπ» 1.8K Β· π 12K Β· π¦ 21 Β· β±οΈ 25.01.2024): +- [GitHub](https://github.com/google-deepmind/sonnet) (π¨βπ» 58 Β· π 1.4K Β· π¦ 1.2K Β· π 190 - 16% open Β· β±οΈ 02.01.2024): ``` - git clone https://github.com/apache/flink + git clone https://github.com/deepmind/sonnet ``` -- [PyPi](https://pypi.org/project/apache-flink) (π₯ 35K / month): +- [PyPi](https://pypi.org/project/dm-sonnet) (π₯ 19K / month Β· π¦ 53 Β· β±οΈ 02.01.2024): ``` - pip install apache-flink + pip install dm-sonnet + ``` +- [Conda](https://anaconda.org/conda-forge/sonnet) (π₯ 27K Β· β±οΈ 16.06.2023): + ``` + conda install -c conda-forge sonnet ``` </details> -<details><summary><b><a href="https://github.com/google-deepmind/sonnet">Sonnet</a></b> (π₯33 Β· β 9.7K) - TensorFlow-based neural network library. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary> +<details><summary><b><a href="https://github.com/VowpalWabbit/vowpal_wabbit">Vowpal Wabbit</a></b> (π₯33 Β· β 8.4K) - Vowpal Wabbit is a machine learning system which pushes the.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary> -- [GitHub](https://github.com/google-deepmind/sonnet) (π¨βπ» 58 Β· π 1.3K Β· π¦ 1.2K Β· π 190 - 16% open Β· β±οΈ 02.01.2024): +- [GitHub](https://github.com/VowpalWabbit/vowpal_wabbit) (π¨βπ» 330 Β· π 2K Β· π 1.3K - 11% open Β· β±οΈ 25.01.2024): ``` - git clone https://github.com/deepmind/sonnet + git clone https://github.com/VowpalWabbit/vowpal_wabbit ``` -- [PyPi](https://pypi.org/project/dm-sonnet) (π₯ 18K / month): +- [PyPi](https://pypi.org/project/vowpalwabbit) (π₯ 45K / month Β· π¦ 34 Β· β±οΈ 19.07.2023): ``` - pip install dm-sonnet + pip install vowpalwabbit ``` -- [Conda](https://anaconda.org/conda-forge/sonnet) (π₯ 27K Β· β±οΈ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/vowpalwabbit) (π₯ 140K Β· β±οΈ 08.10.2023): ``` - conda install -c conda-forge sonnet + conda install -c conda-forge vowpalwabbit ``` </details> -<details><summary><b><a href="https://github.com/mlpack/mlpack">mlpack</a></b> (π₯33 Β· β 4.7K Β· π) - mlpack: a fast, header-only C++ machine learning library. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary> +<details><summary><b><a href="https://github.com/mlpack/mlpack">mlpack</a></b> (π₯33 Β· β 4.7K) - mlpack: a fast, header-only C++ machine learning library. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary> -- [GitHub](https://github.com/mlpack/mlpack) (π¨βπ» 310 Β· π 1.6K Β· π 1.6K - 1% open Β· β±οΈ 19.01.2024): +- [GitHub](https://github.com/mlpack/mlpack) (π¨βπ» 310 Β· π 1.6K Β· π 1.6K - 1% open Β· β±οΈ 28.01.2024): ``` git clone https://github.com/mlpack/mlpack ``` -- [PyPi](https://pypi.org/project/mlpack) (π₯ 1.9K / month Β· π¦ 1 Β· β±οΈ 16.12.2023): +- [PyPi](https://pypi.org/project/mlpack) (π₯ 2K / month Β· π¦ 1 Β· β±οΈ 16.12.2023): ``` pip install mlpack ``` @@ -487,46 +487,46 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c conda-forge mlpack ``` </details> -<details><summary><b><a href="https://github.com/VowpalWabbit/vowpal_wabbit">Vowpal Wabbit</a></b> (π₯31 Β· β 8.4K) - Vowpal Wabbit is a machine learning system which pushes the.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary> +<details><summary><b><a href="https://github.com/tensorpack/tensorpack">tensorpack</a></b> (π₯32 Β· β 6.3K) - A Neural Net Training Interface on TensorFlow, with focus.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/VowpalWabbit/vowpal_wabbit) (π¨βπ» 330 Β· π 1.9K Β· π 1.3K - 10% open Β· β±οΈ 25.01.2024): +- [GitHub](https://github.com/tensorpack/tensorpack) (π¨βπ» 58 Β· π 1.8K Β· π₯ 160 Β· π¦ 1.5K Β· π 1.4K - 0% open Β· β±οΈ 06.08.2023): ``` - git clone https://github.com/VowpalWabbit/vowpal_wabbit + git clone https://github.com/tensorpack/tensorpack ``` -- [PyPi](https://pypi.org/project/vowpalwabbit) (π₯ 39K / month): +- [PyPi](https://pypi.org/project/tensorpack) (π₯ 8.9K / month Β· π¦ 47 Β· β±οΈ 22.01.2021): ``` - pip install vowpalwabbit + pip install tensorpack ``` -- [Conda](https://anaconda.org/conda-forge/vowpalwabbit) (π₯ 140K Β· β±οΈ 08.10.2023): +- [Conda](https://anaconda.org/conda-forge/tensorpack) (π₯ 10K Β· β±οΈ 16.06.2023): ``` - conda install -c conda-forge vowpalwabbit + conda install -c conda-forge tensorpack ``` </details> -<details><summary><b><a href="https://github.com/tensorpack/tensorpack">tensorpack</a></b> (π₯31 Β· β 6.3K) - A Neural Net Training Interface on TensorFlow, with focus.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary> +<details><summary><b><a href="https://github.com/google-deepmind/dm-haiku">Haiku</a></b> (π₯32 Β· β 2.7K) - JAX-based neural network library. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> -- [GitHub](https://github.com/tensorpack/tensorpack) (π¨βπ» 58 Β· π 1.8K Β· π₯ 160 Β· π¦ 1.4K Β· π 1.4K - 0% open Β· β±οΈ 06.08.2023): +- [GitHub](https://github.com/google-deepmind/dm-haiku) (π¨βπ» 80 Β· π 220 Β· π¦ 1.7K Β· π 240 - 29% open Β· β±οΈ 29.01.2024): ``` - git clone https://github.com/tensorpack/tensorpack + git clone https://github.com/deepmind/dm-haiku ``` -- [PyPi](https://pypi.org/project/tensorpack) (π₯ 8.1K / month): +- [PyPi](https://pypi.org/project/dm-haiku) (π₯ 170K / month Β· π¦ 88 Β· β±οΈ 10.11.2023): ``` - pip install tensorpack + pip install dm-haiku ``` -- [Conda](https://anaconda.org/conda-forge/tensorpack) (π₯ 10K Β· β±οΈ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/dm-haiku) (π₯ 15K Β· β±οΈ 16.11.2023): ``` - conda install -c conda-forge tensorpack + conda install -c conda-forge dm-haiku ``` </details> -<details><summary><b><a href="https://github.com/skorch-dev/skorch">skorch</a></b> (π₯31 Β· β 5.5K) - A scikit-learn compatible neural network library that wraps.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code></summary> +<details><summary><b><a href="https://github.com/skorch-dev/skorch">skorch</a></b> (π₯31 Β· β 5.6K) - A scikit-learn compatible neural network library that wraps.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code></summary> - [GitHub](https://github.com/skorch-dev/skorch) (π¨βπ» 61 Β· π 370 Β· π¦ 1.1K Β· π 500 - 10% open Β· β±οΈ 08.01.2024): ``` git clone https://github.com/skorch-dev/skorch ``` -- [PyPi](https://pypi.org/project/skorch) (π₯ 57K / month Β· π¦ 54 Β· β±οΈ 04.09.2023): +- [PyPi](https://pypi.org/project/skorch) (π₯ 64K / month Β· π¦ 54 Β· β±οΈ 04.09.2023): ``` pip install skorch ``` @@ -542,101 +542,85 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/clab/dynet ``` -- [PyPi](https://pypi.org/project/dyNET) (π₯ 330K / month Β· π¦ 29 Β· β±οΈ 21.10.2020): +- [PyPi](https://pypi.org/project/dyNET) (π₯ 280K / month Β· π¦ 29 Β· β±οΈ 21.10.2020): ``` pip install dyNET ``` </details> -<details><summary><b><a href="https://github.com/google-deepmind/dm-haiku">Haiku</a></b> (π₯31 Β· β 2.7K) - JAX-based neural network library. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> +<details><summary><b><a href="https://github.com/ROCm/tensorflow-upstream">tensorflow-upstream</a></b> (π₯31 Β· β 670) - TensorFlow ROCm port. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/google-deepmind/dm-haiku) (π¨βπ» 80 Β· π 220 Β· π¦ 1.7K Β· π 240 - 29% open Β· β±οΈ 18.01.2024): +- [GitHub](https://github.com/ROCm/tensorflow-upstream) (π¨βπ» 4.6K Β· π 86 Β· π₯ 21 Β· π 390 - 27% open Β· β±οΈ 26.01.2024): ``` - git clone https://github.com/deepmind/dm-haiku - ``` -- [PyPi](https://pypi.org/project/dm-haiku) (π₯ 140K / month): - ``` - pip install dm-haiku + git clone https://github.com/ROCmSoftwarePlatform/tensorflow-upstream ``` -- [Conda](https://anaconda.org/conda-forge/dm-haiku) (π₯ 14K Β· β±οΈ 16.11.2023): +- [PyPi](https://pypi.org/project/tensorflow-rocm) (π₯ 4.9K / month Β· π¦ 6 Β· β±οΈ 10.01.2024): ``` - conda install -c conda-forge dm-haiku + pip install tensorflow-rocm ``` </details> -<details><summary><b><a href="https://github.com/georgia-tech-db/evadb">EvaDB</a></b> (π₯31 Β· β 2.5K) - Database system for AI-powered apps. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> +<details><summary><b><a href="https://github.com/determined-ai/determined">Determined</a></b> (π₯30 Β· β 2.7K) - Determined is an open-source machine learning platform.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/georgia-tech-db/evadb) (π¨βπ» 73 Β· π 250 Β· π₯ 410K Β· π¦ 140 Β· π 300 - 25% open Β· β±οΈ 03.12.2023): +- [GitHub](https://github.com/determined-ai/determined) (π¨βπ» 110 Β· π 340 Β· π₯ 8K Β· π 470 - 31% open Β· β±οΈ 01.02.2024): ``` - git clone https://github.com/georgia-tech-db/eva + git clone https://github.com/determined-ai/determined ``` -- [PyPi](https://pypi.org/project/evadb) (π₯ 18K / month): +- [PyPi](https://pypi.org/project/determined) (π₯ 24K / month Β· π¦ 4 Β· β±οΈ 31.01.2024): ``` - pip install evadb + pip install determined ``` </details> -<details><summary><b><a href="https://github.com/geomstats/geomstats">Geomstats</a></b> (π₯31 Β· β 1.1K) - Computations and statistics on manifolds with geometric structures. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> +<details><summary><b><a href="https://github.com/sony/nnabla">Neural Network Libraries</a></b> (π₯30 Β· β 2.7K) - Neural Network Libraries. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> -- [GitHub](https://github.com/geomstats/geomstats) (π¨βπ» 89 Β· π 220 Β· π¦ 91 Β· π 550 - 37% open Β· β±οΈ 22.01.2024): +- [GitHub](https://github.com/sony/nnabla) (π¨βπ» 73 Β· π 340 Β· π₯ 910 Β· π 92 - 34% open Β· β±οΈ 22.01.2024): ``` - git clone https://github.com/geomstats/geomstats - ``` -- [PyPi](https://pypi.org/project/geomstats) (π₯ 3.1K / month Β· π¦ 3 Β· β±οΈ 30.08.2023): - ``` - pip install geomstats + git clone https://github.com/sony/nnabla ``` -- [Conda](https://anaconda.org/conda-forge/geomstats) (π₯ 2.1K Β· β±οΈ 30.08.2023): +- [PyPi](https://pypi.org/project/nnabla) (π₯ 2.8K / month Β· π¦ 55 Β· β±οΈ 06.12.2023): ``` - conda install -c conda-forge geomstats + pip install nnabla ``` </details> -<details><summary><b><a href="https://github.com/ROCmSoftwarePlatform/tensorflow-upstream">tensorflow-upstream</a></b> (π₯31 Β· β 670) - TensorFlow ROCm port. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary> +<details><summary><b><a href="https://github.com/georgia-tech-db/evadb">EvaDB</a></b> (π₯30 Β· β 2.5K) - Database system for AI-powered apps. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/ROCmSoftwarePlatform/tensorflow-upstream) (π¨βπ» 4.6K Β· π 86 Β· π₯ 21 Β· π 390 - 27% open Β· β±οΈ 25.01.2024): +- [GitHub](https://github.com/georgia-tech-db/evadb) (π¨βπ» 73 Β· π 250 Β· π₯ 410K Β· π¦ 140 Β· π 300 - 25% open Β· β±οΈ 03.12.2023): ``` - git clone https://github.com/ROCmSoftwarePlatform/tensorflow-upstream + git clone https://github.com/georgia-tech-db/eva ``` -- [PyPi](https://pypi.org/project/tensorflow-rocm) (π₯ 4.8K / month Β· π¦ 6 Β· β±οΈ 10.01.2024): +- [PyPi](https://pypi.org/project/evadb) (π₯ 18K / month Β· β±οΈ 19.11.2023): ``` - pip install tensorflow-rocm + pip install evadb ``` </details> -<details><summary><b><a href="https://github.com/determined-ai/determined">Determined</a></b> (π₯30 Β· β 2.7K) - Determined is an open-source machine learning platform.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary> +<details><summary><b><a href="https://github.com/amaiya/ktrain">ktrain</a></b> (π₯30 Β· β 1.2K) - ktrain is a Python library that makes deep learning and AI more.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/determined-ai/determined) (π¨βπ» 110 Β· π 340 Β· π₯ 7.9K Β· π 470 - 31% open Β· β±οΈ 25.01.2024): +- [GitHub](https://github.com/amaiya/ktrain) (π¨βπ» 16 Β· π 270 Β· π¦ 500 Β· π 480 - 0% open Β· β±οΈ 27.01.2024): ``` - git clone https://github.com/determined-ai/determined + git clone https://github.com/amaiya/ktrain ``` -- [PyPi](https://pypi.org/project/determined) (π₯ 20K / month Β· π¦ 4 Β· β±οΈ 24.01.2024): +- [PyPi](https://pypi.org/project/ktrain) (π₯ 11K / month Β· π¦ 3 Β· β±οΈ 28.01.2024): ``` - pip install determined + pip install ktrain ``` </details> -<details><summary><b><a href="https://github.com/sony/nnabla">Neural Network Libraries</a></b> (π₯30 Β· β 2.7K Β· π) - Neural Network Libraries. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> +<details><summary><b><a href="https://github.com/geomstats/geomstats">Geomstats</a></b> (π₯30 Β· β 1.1K) - Computations and statistics on manifolds with geometric structures. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> -- [GitHub](https://github.com/sony/nnabla) (π¨βπ» 73 Β· π 340 Β· π₯ 910 Β· π 92 - 34% open Β· β±οΈ 22.01.2024): +- [GitHub](https://github.com/geomstats/geomstats) (π¨βπ» 89 Β· π 220 Β· π¦ 93 Β· π 550 - 37% open Β· β±οΈ 30.01.2024): ``` - git clone https://github.com/sony/nnabla - ``` -- [PyPi](https://pypi.org/project/nnabla) (π₯ 2.6K / month Β· π¦ 55 Β· β±οΈ 06.12.2023): - ``` - pip install nnabla + git clone https://github.com/geomstats/geomstats ``` -</details> -<details><summary><b><a href="https://github.com/amaiya/ktrain">ktrain</a></b> (π₯29 Β· β 1.2K) - ktrain is a Python library that makes deep learning and AI more.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary> - -- [GitHub](https://github.com/amaiya/ktrain) (π¨βπ» 16 Β· π 260 Β· π¦ 500 Β· π 480 - 0% open Β· β±οΈ 18.11.2023): - +- [PyPi](https://pypi.org/project/geomstats) (π₯ 3.2K / month Β· π¦ 3 Β· β±οΈ 30.08.2023): ``` - git clone https://github.com/amaiya/ktrain + pip install geomstats ``` -- [PyPi](https://pypi.org/project/ktrain) (π₯ 9.8K / month): +- [Conda](https://anaconda.org/conda-forge/geomstats) (π₯ 2.1K Β· β±οΈ 30.08.2023): ``` - pip install ktrain + conda install -c conda-forge geomstats ``` </details> <details><summary><b><a href="https://github.com/shogun-toolbox/shogun">SHOGUN</a></b> (π₯26 Β· β 3K) - Unified and efficient Machine Learning. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary> @@ -657,56 +641,44 @@ _General-purpose machine learning and deep learning frameworks._ </details> <details><summary><b><a href="https://github.com/google/neural-tangents">Neural Tangents</a></b> (π₯26 Β· β 2.2K) - Fast and Easy Infinite Neural Networks in Python. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> -- [GitHub](https://github.com/google/neural-tangents) (π¨βπ» 29 Β· π 230 Β· π₯ 360 Β· π¦ 91 Β· π 150 - 37% open Β· β±οΈ 11.12.2023): +- [GitHub](https://github.com/google/neural-tangents) (π¨βπ» 29 Β· π 240 Β· π₯ 360 Β· π¦ 91 Β· π 150 - 39% open Β· β±οΈ 11.12.2023): ``` git clone https://github.com/google/neural-tangents ``` -- [PyPi](https://pypi.org/project/neural-tangents) (π₯ 1.6K / month): +- [PyPi](https://pypi.org/project/neural-tangents) (π₯ 1.7K / month Β· π¦ 1 Β· β±οΈ 11.12.2023): ``` pip install neural-tangents ``` </details> -<details><summary><b><a href="https://github.com/pyRiemann/pyRiemann">pyRiemann</a></b> (π₯26 Β· β 550) - Machine learning for multivariate data analysis through the.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code></summary> +<details><summary><b><a href="https://github.com/pyRiemann/pyRiemann">pyRiemann</a></b> (π₯26 Β· β 560) - Machine learning for multivariate data analysis through the.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/pyRiemann/pyRiemann) (π¨βπ» 29 Β· π 150 Β· π¦ 300 Β· π 110 - 7% open Β· β±οΈ 16.01.2024): +- [GitHub](https://github.com/pyRiemann/pyRiemann) (π¨βπ» 30 Β· π 150 Β· π¦ 300 Β· π 110 - 7% open Β· β±οΈ 31.01.2024): ``` git clone https://github.com/pyRiemann/pyRiemann ``` -- [PyPi](https://pypi.org/project/pyriemann) (π₯ 15K / month Β· π¦ 20 Β· β±οΈ 17.07.2022): +- [PyPi](https://pypi.org/project/pyriemann) (π₯ 18K / month Β· π¦ 20 Β· β±οΈ 17.07.2022): ``` pip install pyriemann ``` -- [Conda](https://anaconda.org/conda-forge/pyriemann) (π₯ 4.9K Β· β±οΈ 20.06.2023): +- [Conda](https://anaconda.org/conda-forge/pyriemann) (π₯ 5K Β· β±οΈ 20.06.2023): ``` conda install -c conda-forge pyriemann ``` </details> <details><summary><b><a href="https://github.com/towhee-io/towhee">Towhee</a></b> (π₯25 Β· β 2.9K) - Towhee is a framework that is dedicated to making neural data.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> -- [GitHub](https://github.com/towhee-io/towhee) (π¨βπ» 35 Β· π 250 Β· π₯ 2.6K Β· π 650 - 0% open Β· β±οΈ 20.01.2024): +- [GitHub](https://github.com/towhee-io/towhee) (π¨βπ» 35 Β· π 240 Β· π₯ 2.6K Β· π 650 - 0% open Β· β±οΈ 20.01.2024): ``` git clone https://github.com/towhee-io/towhee ``` -- [PyPi](https://pypi.org/project/towhee) (π₯ 3.4K / month Β· β±οΈ 04.12.2023): +- [PyPi](https://pypi.org/project/towhee) (π₯ 3.8K / month): ``` pip install towhee ``` </details> -<details><summary><b><a href="https://github.com/itdxer/neupy">NeuPy</a></b> (π₯24 Β· β 740 Β· π€) - NeuPy is a Tensorflow based python library for prototyping and building.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> - -- [GitHub](https://github.com/itdxer/neupy) (π¨βπ» 8 Β· π 160 Β· π¦ 160 Β· π 270 - 12% open Β· β±οΈ 03.01.2023): - - ``` - git clone https://github.com/itdxer/neupy - ``` -- [PyPi](https://pypi.org/project/neupy) (π₯ 3.1K / month Β· π¦ 13 Β· β±οΈ 04.04.2019): - ``` - pip install neupy - ``` -</details> <details><summary><b><a href="https://github.com/pytorchbearer/torchbearer">Torchbearer</a></b> (π₯24 Β· β 630) - torchbearer: A model fitting library for PyTorch. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> - [GitHub](https://github.com/pytorchbearer/torchbearer) (π¨βπ» 14 Β· π 68 Β· π¦ 86 Β· π 250 - 4% open Β· β±οΈ 04.12.2023): @@ -714,7 +686,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/pytorchbearer/torchbearer ``` -- [PyPi](https://pypi.org/project/torchbearer) (π₯ 440 / month Β· π¦ 4 Β· β±οΈ 01.12.2023): +- [PyPi](https://pypi.org/project/torchbearer) (π₯ 460 / month Β· π¦ 4 Β· β±οΈ 01.12.2023): ``` pip install torchbearer ``` @@ -726,75 +698,89 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/nubank/fklearn ``` -- [PyPi](https://pypi.org/project/fklearn) (π₯ 390 / month Β· β±οΈ 09.11.2023): +- [PyPi](https://pypi.org/project/fklearn) (π₯ 460 / month Β· β±οΈ 09.11.2023): ``` pip install fklearn ``` </details> -<details><summary><b><a href="https://github.com/serengil/chefboost">chefboost</a></b> (π₯22 Β· β 430) - A Lightweight Decision Tree Framework supporting regular algorithms:.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> +<details><summary><b><a href="https://github.com/google/objax">Objax</a></b> (π₯23 Β· β 750) - Objax is a machine learning framework that provides an Object.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://jax.readthedocs.io/en/latest/_static/favicon.png" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/serengil/chefboost) (π¨βπ» 7 Β· π 96 Β· π¦ 51 Β· π 43 - 11% open Β· β±οΈ 26.12.2023): +- [GitHub](https://github.com/google/objax) (π¨βπ» 26 Β· π 78 Β· π¦ 47 Β· π 110 - 45% open Β· β±οΈ 27.01.2024): ``` - git clone https://github.com/serengil/chefboost + git clone https://github.com/google/objax ``` -- [PyPi](https://pypi.org/project/chefboost) (π₯ 1.7K / month Β· β±οΈ 16.02.2022): +- [PyPi](https://pypi.org/project/objax) (π₯ 580 / month Β· π¦ 4 Β· β±οΈ 06.11.2023): ``` - pip install chefboost + pip install objax ``` </details> -<details><summary><b><a href="https://github.com/Xtra-Computing/thundersvm">ThunderSVM</a></b> (π₯21 Β· β 1.5K) - ThunderSVM: A Fast SVM Library on GPUs and CPUs. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> +<details><summary><b><a href="https://github.com/neoml-lib/neoml">NeoML</a></b> (π₯22 Β· β 750) - Machine learning framework for both deep learning and traditional.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> -- [GitHub](https://github.com/Xtra-Computing/thundersvm) (π¨βπ» 35 Β· π 210 Β· π₯ 2.7K Β· π 220 - 32% open Β· β±οΈ 15.09.2023): +- [GitHub](https://github.com/neoml-lib/neoml) (π¨βπ» 35 Β· π 120 Β· π 87 - 42% open Β· β±οΈ 24.01.2024): ``` - git clone https://github.com/Xtra-Computing/thundersvm + git clone https://github.com/neoml-lib/neoml ``` -- [PyPi](https://pypi.org/project/thundersvm) (π₯ 360 / month Β· β±οΈ 13.03.2020): +- [PyPi](https://pypi.org/project/neoml) (π₯ 350 / month Β· β±οΈ 26.12.2023): ``` - pip install thundersvm + pip install neoml ``` </details> -<details><summary><b><a href="https://github.com/neoml-lib/neoml">NeoML</a></b> (π₯20 Β· β 750) - Machine learning framework for both deep learning and traditional.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> +<details><summary><b><a href="https://github.com/serengil/chefboost">chefboost</a></b> (π₯22 Β· β 430) - A Lightweight Decision Tree Framework supporting regular algorithms:.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> -- [GitHub](https://github.com/neoml-lib/neoml) (π¨βπ» 35 Β· π 120 Β· π 65 - 23% open Β· β±οΈ 24.01.2024): +- [GitHub](https://github.com/serengil/chefboost) (π¨βπ» 7 Β· π 96 Β· π¦ 51 Β· π 43 - 11% open Β· β±οΈ 26.12.2023): ``` - git clone https://github.com/neoml-lib/neoml + git clone https://github.com/serengil/chefboost ``` -- [PyPi](https://pypi.org/project/neoml) (π₯ 560 / month): +- [PyPi](https://pypi.org/project/chefboost) (π₯ 1.8K / month Β· β±οΈ 16.02.2022): ``` - pip install neoml + pip install chefboost + ``` +</details> +<details><summary><b><a href="https://github.com/Xtra-Computing/thundersvm">ThunderSVM</a></b> (π₯21 Β· β 1.5K) - ThunderSVM: A Fast SVM Library on GPUs and CPUs. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> + +- [GitHub](https://github.com/Xtra-Computing/thundersvm) (π¨βπ» 36 Β· π 210 Β· π₯ 2.7K Β· π 220 - 33% open Β· β±οΈ 29.01.2024): + + ``` + git clone https://github.com/Xtra-Computing/thundersvm + ``` +- [PyPi](https://pypi.org/project/thundersvm) (π₯ 350 / month Β· β±οΈ 13.03.2020): + ``` + pip install thundersvm ``` </details> <details><summary><b><a href="https://github.com/Xtra-Computing/thundergbm">ThunderGBM</a></b> (π₯16 Β· β 680) - ThunderGBM: Fast GBDTs and Random Forests on GPUs. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> -- [GitHub](https://github.com/Xtra-Computing/thundergbm) (π¨βπ» 11 Β· π 87 Β· π¦ 2 Β· π 79 - 46% open Β· β±οΈ 26.09.2023): +- [GitHub](https://github.com/Xtra-Computing/thundergbm) (π¨βπ» 12 Β· π 87 Β· π¦ 2 Β· π 79 - 46% open Β· β±οΈ 29.01.2024): ``` git clone https://github.com/Xtra-Computing/thundergbm ``` -- [PyPi](https://pypi.org/project/thundergbm) (π₯ 130 / month Β· β±οΈ 19.09.2022): +- [PyPi](https://pypi.org/project/thundergbm) (π₯ 77 / month Β· β±οΈ 19.09.2022): ``` pip install thundergbm ``` </details> -<details><summary>Show 14 hidden projects...</summary> +<details><summary>Show 16 hidden projects...</summary> - <b><a href="https://github.com/davisking/dlib">dlib</a></b> (π₯38 Β· β 13K) - A toolkit for making real world machine learning and data analysis.. <code><a href="https://tldrlegal.com/search?q=BSL-1.0">βοΈBSL-1.0</a></code> -- <b><a href="https://github.com/mindsdb/mindsdb">MindsDB</a></b> (π₯33 Β· β 20K) - Build AI using SQL. <code>βUnlicensed</code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code> -- <b><a href="https://github.com/chainer/chainer">Chainer</a></b> (π₯33 Β· β 5.8K Β· π) - A flexible framework of neural networks for deep learning. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> -- <b><a href="https://github.com/apple/turicreate">Turi Create</a></b> (π₯31 Β· β 11K Β· π) - Turi Create simplifies the development of custom machine.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> +- <b><a href="https://github.com/apache/mxnet">MXNet</a></b> (π₯37 Β· β 21K Β· π) - Lightweight, Portable, Flexible Distributed/Mobile Deep.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1X" style="display:inline;" width="13" height="13"></code> +- <b><a href="https://github.com/mindsdb/mindsdb">MindsDB</a></b> (π₯34 Β· β 20K) - Build AI using SQL. <code><a href="https://tldrlegal.com/search?q=libpng-2.0">βοΈlibpng-2.0</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code> +- <b><a href="https://github.com/chainer/chainer">Chainer</a></b> (π₯33 Β· β 5.8K Β· π) - A flexible framework of neural networks for deep learning. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> +- <b><a href="https://github.com/tflearn/tflearn">TFlearn</a></b> (π₯32 Β· β 9.6K Β· π) - Deep learning library featuring a higher-level API for TensorFlow. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code> - <b><a href="https://github.com/microsoft/CNTK">CNTK</a></b> (π₯30 Β· β 17K Β· π) - Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> -- <b><a href="https://github.com/tflearn/tflearn">TFlearn</a></b> (π₯30 Β· β 9.6K Β· π) - Deep learning library featuring a higher-level API for.. <code>βUnlicensed</code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code> +- <b><a href="https://github.com/apple/turicreate">Turi Create</a></b> (π₯30 Β· β 11K Β· π) - Turi Create simplifies the development of custom machine.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> - <b><a href="https://github.com/numenta/nupic-legacy">NuPIC</a></b> (π₯28 Β· β 6.3K) - Numenta Platform for Intelligent Computing is an implementation of.. <code><a href="http://bit.ly/3pwmjO5">βοΈAGPL-3.0</a></code> - <b><a href="https://github.com/Lasagne/Lasagne">Lasagne</a></b> (π₯28 Β· β 3.8K Β· π) - Lightweight library to build and train neural networks in Theano. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> - <b><a href="https://github.com/aksnzhy/xlearn">xLearn</a></b> (π₯24 Β· β 3.1K Β· π) - High performance, easy-to-use, and scalable machine learning (ML).. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> +- <b><a href="https://github.com/itdxer/neupy">NeuPy</a></b> (π₯24 Β· β 740 Β· π) - NeuPy is a Tensorflow based python library for prototyping and building.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> - <b><a href="https://github.com/XiaoMi/mace">mace</a></b> (π₯22 Β· β 4.8K Β· π) - MACE is a deep learning inference framework optimized for mobile.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> - <b><a href="https://github.com/NervanaSystems/neon">neon</a></b> (π₯22 Β· β 3.9K Β· π) - Intel Nervana reference deep learning framework committed to best.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> -- <b><a href="https://github.com/google/objax">Objax</a></b> (π₯22 Β· β 750) - <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://jax.readthedocs.io/en/latest/_static/favicon.png" style="display:inline;" width="13" height="13"></code> - <b><a href="https://github.com/poets-ai/elegy">elegy</a></b> (π₯19 Β· β 460 Β· π) - A High Level API for Deep Learning in JAX. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code> <code><img src="https://jax.readthedocs.io/en/latest/_static/favicon.png" style="display:inline;" width="13" height="13"></code> - <b><a href="https://github.com/facebookresearch/StarSpace">StarSpace</a></b> (π₯16 Β· β 3.9K Β· π) - Learning embeddings for classification, retrieval and ranking. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> +- <b><a href="https://github.com/HMUNACHI/nanodl">nanodl</a></b> (π₯11 Β· β 11 Β· π£) - A Jax-based library for designing and training transformer models.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://jax.readthedocs.io/en/latest/_static/favicon.png" style="display:inline;" width="13" height="13"></code> </details> <br> @@ -804,14 +790,14 @@ _General-purpose machine learning and deep learning frameworks._ _General-purpose and task-specific data visualization libraries._ -<details><summary><b><a href="https://github.com/matplotlib/matplotlib">Matplotlib</a></b> (π₯48 Β· β 19K) - matplotlib: plotting with Python. <code>βUnlicensed</code></summary> +<details><summary><b><a href="https://github.com/matplotlib/matplotlib">Matplotlib</a></b> (π₯50 Β· β 19K) - matplotlib: plotting with Python. <code><a href="http://bit.ly/35wkF7y">Python-2.0</a></code></summary> -- [GitHub](https://github.com/matplotlib/matplotlib) (π¨βπ» 1.6K Β· π 7.1K Β· π¦ 1.1M Β· π 10K - 11% open Β· β±οΈ 25.01.2024): +- [GitHub](https://github.com/matplotlib/matplotlib) (π¨βπ» 1.6K Β· π 7.4K Β· π¦ 1.1M Β· π 10K - 14% open Β· β±οΈ 01.02.2024): ``` git clone https://github.com/matplotlib/matplotlib ``` -- [PyPi](https://pypi.org/project/matplotlib) (π₯ 48M / month): +- [PyPi](https://pypi.org/project/matplotlib) (π₯ 52M / month Β· π¦ 64K Β· β±οΈ 18.11.2023): ``` pip install matplotlib ``` @@ -822,28 +808,28 @@ _General-purpose and task-specific data visualization libraries._ </details> <details><summary><b><a href="https://github.com/bokeh/bokeh">Bokeh</a></b> (π₯45 Β· β 19K) - Interactive Data Visualization in the browser, from Python. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary> -- [GitHub](https://github.com/bokeh/bokeh) (π¨βπ» 680 Β· π 4.2K Β· π¦ 82K Β· π 7.6K - 10% open Β· β±οΈ 24.01.2024): +- [GitHub](https://github.com/bokeh/bokeh) (π¨βπ» 680 Β· π 4.2K Β· π¦ 83K Β· π 7.6K - 10% open Β· β±οΈ 30.01.2024): ``` git clone https://github.com/bokeh/bokeh ``` -- [PyPi](https://pypi.org/project/bokeh) (π₯ 3.3M / month Β· π¦ 3.8K Β· β±οΈ 25.01.2024): +- [PyPi](https://pypi.org/project/bokeh) (π₯ 3.7M / month Β· π¦ 3.8K Β· β±οΈ 30.01.2024): ``` pip install bokeh ``` -- [Conda](https://anaconda.org/conda-forge/bokeh) (π₯ 13M Β· β±οΈ 08.01.2024): +- [Conda](https://anaconda.org/conda-forge/bokeh) (π₯ 13M Β· β±οΈ 25.01.2024): ``` conda install -c conda-forge bokeh ``` </details> <details><summary><b><a href="https://github.com/plotly/plotly.py">Plotly</a></b> (π₯44 Β· β 15K) - The interactive graphing library for Python This project now includes.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> -- [GitHub](https://github.com/plotly/plotly.py) (π¨βπ» 250 Β· π 2.4K Β· π¦ 230K Β· π 2.8K - 50% open Β· β±οΈ 23.01.2024): +- [GitHub](https://github.com/plotly/plotly.py) (π¨βπ» 250 Β· π 2.4K Β· π¦ 240K Β· π 2.8K - 50% open Β· β±οΈ 25.01.2024): ``` git clone https://github.com/plotly/plotly.py ``` -- [PyPi](https://pypi.org/project/plotly) (π₯ 11M / month Β· π¦ 5.6K Β· β±οΈ 25.10.2023): +- [PyPi](https://pypi.org/project/plotly) (π₯ 12M / month Β· π¦ 5.6K Β· β±οΈ 25.10.2023): ``` pip install plotly ``` @@ -858,28 +844,28 @@ _General-purpose and task-specific data visualization libraries._ </details> <details><summary><b><a href="https://github.com/mwaskom/seaborn">Seaborn</a></b> (π₯44 Β· β 12K) - Statistical data visualization in Python. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary> -- [GitHub](https://github.com/mwaskom/seaborn) (π¨βπ» 210 Β· π 1.8K Β· π₯ 380 Β· π¦ 350K Β· π 2.5K - 4% open Β· β±οΈ 25.01.2024): +- [GitHub](https://github.com/mwaskom/seaborn) (π¨βπ» 210 Β· π 1.9K Β· π₯ 380 Β· π¦ 360K Β· π 2.5K - 5% open Β· β±οΈ 25.01.2024): ``` git clone https://github.com/mwaskom/seaborn ``` -- [PyPi](https://pypi.org/project/seaborn) (π₯ 13M / month): +- [PyPi](https://pypi.org/project/seaborn) (π₯ 14M / month Β· π¦ 12K Β· β±οΈ 25.01.2024): ``` pip install seaborn ``` -- [Conda](https://anaconda.org/conda-forge/seaborn) (π₯ 8M Β· β±οΈ 03.01.2024): +- [Conda](https://anaconda.org/conda-forge/seaborn) (π₯ 8M Β· β±οΈ 27.01.2024): ``` conda install -c conda-forge seaborn ``` </details> <details><summary><b><a href="https://github.com/altair-viz/altair">Altair</a></b> (π₯41 Β· β 8.7K) - Declarative statistical visualization library for Python. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary> -- [GitHub](https://github.com/altair-viz/altair) (π¨βπ» 160 Β· π 710 Β· π₯ 96 Β· π¦ 100K Β· π 1.9K - 8% open Β· β±οΈ 09.01.2024): +- [GitHub](https://github.com/altair-viz/altair) (π¨βπ» 160 Β· π 780 Β· π₯ 100 Β· π¦ 100K Β· π 1.9K - 9% open Β· β±οΈ 31.01.2024): ``` git clone https://github.com/altair-viz/altair ``` -- [PyPi](https://pypi.org/project/altair) (π₯ 15M / month): +- [PyPi](https://pypi.org/project/altair) (π₯ 16M / month Β· π¦ 650 Β· β±οΈ 28.11.2023): ``` pip install altair ``` @@ -888,30 +874,30 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge altair ``` </details> -<details><summary><b><a href="https://github.com/plotly/dash">dash</a></b> (π₯39 Β· β 20K) - Data Apps & Dashboards for Python. No JavaScript Required. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> +<details><summary><b><a href="https://github.com/plotly/dash">dash</a></b> (π₯40 Β· β 20K) - Data Apps & Dashboards for Python. No JavaScript Required. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> -- [GitHub](https://github.com/plotly/dash) (π¨βπ» 140 Β· π 1.9K Β· π₯ 64 Β· π¦ 57K Β· π 1.6K - 47% open Β· β±οΈ 09.01.2024): +- [GitHub](https://github.com/plotly/dash) (π¨βπ» 140 Β· π 2K Β· π₯ 66 Β· π¦ 58K Β· π 1.7K - 48% open Β· β±οΈ 31.01.2024): ``` git clone https://github.com/plotly/dash ``` -- [PyPi](https://pypi.org/project/dash) (π₯ 2.2M / month): +- [PyPi](https://pypi.org/project/dash) (π₯ 2.4M / month Β· π¦ 1.5K Β· β±οΈ 31.01.2024): ``` pip install dash ``` -- [Conda](https://anaconda.org/conda-forge/dash) (π₯ 1.2M Β· β±οΈ 28.11.2023): +- [Conda](https://anaconda.org/conda-forge/dash) (π₯ 1.2M Β· β±οΈ 01.02.2024): ``` conda install -c conda-forge dash ``` </details> <details><summary><b><a href="https://github.com/ydataai/ydata-profiling">pandas-profiling</a></b> (π₯37 Β· β 12K) - 1 Line of code data quality profiling & exploratory.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1E" style="display:inline;" width="13" height="13"></code> <code><img src="https://git.io/JLy1S" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/ydataai/ydata-profiling) (π¨βπ» 120 Β· π 1.6K Β· π₯ 35 Β· π¦ 2.3K Β· π 750 - 26% open Β· β±οΈ 18.01.2024): +- [GitHub](https://github.com/ydataai/ydata-profiling) (π¨βπ» 120 Β· π 1.6K Β· π₯ 38 Β· π¦ 2.3K Β· π 760 - 26% open Β· β±οΈ 18.01.2024): ``` git clone https://github.com/ydataai/pandas-profiling ``` -- [PyPi](https://pypi.org/project/pandas-profiling) (π₯ 530K / month): +- [PyPi](https://pypi.org/project/pandas-profiling) (π₯ 550K / month Β· π¦ 200 Β· β±οΈ 03.02.2023): ``` pip install pandas-profiling ``` @@ -922,12 +908,12 @@ _General-purpose and task-specific data visualization libraries._ </details> <details><summary><b><a href="https://github.com/holoviz/holoviews">HoloViews</a></b> (π₯37 Β· β 2.6K) - With Holoviews, your data visualizes itself. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1E" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/holoviz/holoviews) (π¨βπ» 140 Β· π 380 Β· π¦ 9.2K Β· π 3.2K - 33% open Β· β±οΈ 24.01.2024): +- [GitHub](https://github.com/holoviz/holoviews) (π¨βπ» 140 Β· π 380 Β· π¦ 9.2K Β· π 3.2K - 33% open Β· β±οΈ 30.01.2024): ``` git clone https://github.com/holoviz/holoviews ``` -- [PyPi](https://pypi.org/project/holoviews) (π₯ 320K / month): +- [PyPi](https://pypi.org/project/holoviews) (π₯ 380K / month Β· π¦ 280 Β· β±οΈ 14.12.2023): ``` pip install holoviews ``` @@ -935,23 +921,39 @@ _General-purpose and task-specific data visualization libraries._ ``` conda install -c conda-forge holoviews ``` -- [npm](https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz) (π₯ 610 / month): +- [npm](https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz) (π₯ 650 / month Β· π¦ 3 Β· β±οΈ 15.01.2024): ``` npm install @pyviz/jupyterlab_pyviz ``` </details> <details><summary><b><a href="https://github.com/pyecharts/pyecharts">pyecharts</a></b> (π₯36 Β· β 14K) - Python Echarts Plotting Library. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1E" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/pyecharts/pyecharts) (π¨βπ» 39 Β· π 2.8K Β· π¦ 3.8K Β· π 1.8K - 0% open Β· β±οΈ 21.08.2023): +- [GitHub](https://github.com/pyecharts/pyecharts) (π¨βπ» 39 Β· π 2.9K Β· π¦ 3.8K Β· π 1.8K - 0% open Β· β±οΈ 21.08.2023): ``` git clone https://github.com/pyecharts/pyecharts ``` -- [PyPi](https://pypi.org/project/pyecharts) (π₯ 110K / month): +- [PyPi](https://pypi.org/project/pyecharts) (π₯ 98K / month Β· π¦ 250 Β· β±οΈ 21.08.2023): ``` pip install pyecharts ``` </details> +<details><summary><b><a href="https://github.com/amueller/word_cloud">wordcloud</a></b> (π₯36 Β· β 9.8K) - A little word cloud generator in Python. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> + +- [GitHub](https://github.com/amueller/word_cloud) (π¨βπ» 72 Β· π 2.4K Β· π¦ 21 Β· π 530 - 21% open Β· β±οΈ 09.12.2023): + + ``` + git clone https://github.com/amueller/word_cloud + ``` +- [PyPi](https://pypi.org/project/wordcloud) (π₯ 1.3M / month Β· π¦ 840 Β· β±οΈ 09.12.2023): + ``` + pip install wordcloud + ``` +- [Conda](https://anaconda.org/conda-forge/wordcloud) (π₯ 450K Β· β±οΈ 11.12.2023): + ``` + conda install -c conda-forge wordcloud + ``` +</details> <details><summary><b><a href="https://github.com/has2k1/plotnine">plotnine</a></b> (π₯36 Β· β 3.7K) - A Grammar of Graphics for Python. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> - [GitHub](https://github.com/has2k1/plotnine) (π¨βπ» 100 Β· π 210 Β· π¦ 6.7K Β· π 600 - 12% open Β· β±οΈ 12.01.2024): @@ -959,7 +961,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/has2k1/plotnine ``` -- [PyPi](https://pypi.org/project/plotnine) (π₯ 2.2M / month Β· π¦ 270 Β· β±οΈ 06.11.2023): +- [PyPi](https://pypi.org/project/plotnine) (π₯ 2.4M / month Β· π¦ 270 Β· β±οΈ 06.11.2023): ``` pip install plotnine ``` @@ -968,14 +970,30 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge plotnine ``` </details> +<details><summary><b><a href="https://github.com/pyqtgraph/pyqtgraph">PyQtGraph</a></b> (π₯35 Β· β 3.6K) - Fast data visualization and GUI tools for scientific / engineering.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> + +- [GitHub](https://github.com/pyqtgraph/pyqtgraph) (π¨βπ» 270 Β· π 1K Β· π¦ 8.7K Β· π 1.2K - 29% open Β· β±οΈ 17.01.2024): + + ``` + git clone https://github.com/pyqtgraph/pyqtgraph + ``` +- [PyPi](https://pypi.org/project/pyqtgraph) (π₯ 140K / month Β· π¦ 970 Β· β±οΈ 14.04.2023): + ``` + pip install pyqtgraph + ``` +- [Conda](https://anaconda.org/conda-forge/pyqtgraph) (π₯ 500K Β· β±οΈ 16.06.2023): + ``` + conda install -c conda-forge pyqtgraph + ``` +</details> <details><summary><b><a href="https://github.com/vispy/vispy">VisPy</a></b> (π₯35 Β· β 3.2K) - High-performance interactive 2D/3D data visualization library. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1E" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/vispy/vispy) (π¨βπ» 190 Β· π 610 Β· π¦ 1.4K Β· π 1.4K - 22% open Β· β±οΈ 22.01.2024): +- [GitHub](https://github.com/vispy/vispy) (π¨βπ» 190 Β· π 610 Β· π¦ 1.4K Β· π 1.4K - 22% open Β· β±οΈ 29.01.2024): ``` git clone https://github.com/vispy/vispy ``` -- [PyPi](https://pypi.org/project/vispy) (π₯ 57K / month Β· π¦ 140 Β· β±οΈ 03.10.2023): +- [PyPi](https://pypi.org/project/vispy) (π₯ 64K / month Β· π¦ 140 Β· β±οΈ 03.10.2023): ``` pip install vispy ``` @@ -983,19 +1001,19 @@ _General-purpose and task-specific data visualization libraries._ ``` conda install -c conda-forge vispy ``` -- [npm](https://www.npmjs.com/package/vispy) (π₯ 13 / month Β· π¦ 2 Β· β±οΈ 15.03.2020): +- [npm](https://www.npmjs.com/package/vispy) (π₯ 7 / month Β· π¦ 2 Β· β±οΈ 15.03.2020): ``` npm install vispy ``` </details> <details><summary><b><a href="https://github.com/pyvista/pyvista">PyVista</a></b> (π₯35 Β· β 2.2K) - 3D plotting and mesh analysis through a streamlined interface for.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1E" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/pyvista/pyvista) (π¨βπ» 150 Β· π 410 Β· π₯ 790 Β· π¦ 2.6K Β· π 1.5K - 30% open Β· β±οΈ 25.01.2024): +- [GitHub](https://github.com/pyvista/pyvista) (π¨βπ» 150 Β· π 410 Β· π₯ 790 Β· π¦ 2.6K Β· π 1.5K - 30% open Β· β±οΈ 01.02.2024): ``` git clone https://github.com/pyvista/pyvista ``` -- [PyPi](https://pypi.org/project/pyvista) (π₯ 210K / month Β· π¦ 250 Β· β±οΈ 14.01.2024): +- [PyPi](https://pypi.org/project/pyvista) (π₯ 250K / month Β· π¦ 250 Β· β±οΈ 14.01.2024): ``` pip install pyvista ``` @@ -1004,14 +1022,14 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge pyvista ``` </details> -<details><summary><b><a href="https://github.com/voxel51/fiftyone">FiftyOne</a></b> (π₯34 Β· β 6.3K) - Visualize, create, and debug image and video datasets.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code> <code><img src="https://git.io/JLy1E" style="display:inline;" width="13" height="13"></code></summary> +<details><summary><b><a href="https://github.com/voxel51/fiftyone">FiftyOne</a></b> (π₯34 Β· β 6.4K) - Visualize, create, and debug image and video datasets.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code> <code><img src="https://git.io/JLy1E" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/voxel51/fiftyone) (π¨βπ» 110 Β· π 450 Β· π¦ 480 Β· π 1.4K - 29% open Β· β±οΈ 24.01.2024): +- [GitHub](https://github.com/voxel51/fiftyone) (π¨βπ» 110 Β· π 450 Β· π¦ 480 Β· π 1.5K - 32% open Β· β±οΈ 30.01.2024): ``` git clone https://github.com/voxel51/fiftyone ``` -- [PyPi](https://pypi.org/project/fiftyone) (π₯ 53K / month): +- [PyPi](https://pypi.org/project/fiftyone) (π₯ 57K / month Β· π¦ 11 Β· β±οΈ 25.01.2024): ``` pip install fiftyone ``` @@ -1023,7 +1041,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/xflr6/graphviz ``` -- [PyPi](https://pypi.org/project/graphviz) (π₯ 6.8M / month Β· π¦ 3.5K Β· β±οΈ 23.07.2022): +- [PyPi](https://pypi.org/project/graphviz) (π₯ 7.2M / month Β· π¦ 3.5K Β· β±οΈ 23.07.2022): ``` pip install graphviz ``` @@ -1032,20 +1050,20 @@ _General-purpose and task-specific data visualization libraries._ conda install -c anaconda python-graphviz ``` </details> -<details><summary><b><a href="https://github.com/amueller/word_cloud">wordcloud</a></b> (π₯33 Β· β 9.8K) - A little word cloud generator in Python. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> +<details><summary><b><a href="https://github.com/lmcinnes/umap">UMAP</a></b> (π₯33 Β· β 6.8K Β· π) - Uniform Manifold Approximation and Projection. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary> -- [GitHub](https://github.com/amueller/word_cloud) (π¨βπ» 72 Β· π 2.3K Β· π¦ 21 Β· π 510 - 18% open Β· β±οΈ 09.12.2023): +- [GitHub](https://github.com/lmcinnes/umap) (π¨βπ» 130 Β· π 760 Β· π¦ 1 Β· π 770 - 57% open Β· β±οΈ 08.01.2024): ``` - git clone https://github.com/amueller/word_cloud + git clone https://github.com/lmcinnes/umap ``` -- [PyPi](https://pypi.org/project/wordcloud) (π₯ 1.2M / month): +- [PyPi](https://pypi.org/project/umap-learn) (π₯ 870K / month Β· π¦ 560 Β· β±οΈ 18.11.2023): ``` - pip install wordcloud + pip install umap-learn ``` -- [Conda](https://anaconda.org/conda-forge/wordcloud) (π₯ 450K Β· β±οΈ 11.12.2023): +- [Conda](https://anaconda.org/conda-forge/umap-learn) (π₯ 2.3M Β· β±οΈ 18.11.2023): ``` - conda install -c conda-forge wordcloud + conda install -c conda-forge umap-learn ``` </details> <details><summary><b><a href="https://github.com/mpld3/mpld3">mpld3</a></b> (π₯33 Β· β 2.3K) - D3 Renderings of Matplotlib Graphics. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary> @@ -1055,7 +1073,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/mpld3/mpld3 ``` -- [PyPi](https://pypi.org/project/mpld3) (π₯ 540K / month Β· π¦ 410 Β· β±οΈ 23.12.2023): +- [PyPi](https://pypi.org/project/mpld3) (π₯ 590K / month Β· π¦ 410 Β· β±οΈ 23.12.2023): ``` pip install mpld3 ``` @@ -1063,19 +1081,35 @@ _General-purpose and task-specific data visualization libraries._ ``` conda install -c conda-forge mpld3 ``` -- [npm](https://www.npmjs.com/package/mpld3) (π₯ 580 / month Β· π¦ 9 Β· β±οΈ 23.12.2023): +- [npm](https://www.npmjs.com/package/mpld3) (π₯ 710 / month Β· π¦ 9 Β· β±οΈ 23.12.2023): ``` npm install mpld3 ``` </details> +<details><summary><b><a href="https://github.com/SciTools/cartopy">cartopy</a></b> (π₯33 Β· β 1.3K) - Cartopy - a cartographic python library with matplotlib support. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary> + +- [GitHub](https://github.com/SciTools/cartopy) (π¨βπ» 120 Β· π 360 Β· π¦ 4.3K Β· π 1.2K - 25% open Β· β±οΈ 29.01.2024): + + ``` + git clone https://github.com/SciTools/cartopy + ``` +- [PyPi](https://pypi.org/project/cartopy) (π₯ 180K / month Β· π¦ 450 Β· β±οΈ 05.08.2023): + ``` + pip install cartopy + ``` +- [Conda](https://anaconda.org/conda-forge/cartopy) (π₯ 3.4M Β· β±οΈ 24.10.2023): + ``` + conda install -c conda-forge cartopy + ``` +</details> <details><summary><b><a href="https://github.com/finos/perspective">Perspective</a></b> (π₯31 Β· β 7.1K) - A data visualization and analytics component, especially.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1E" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/finos/perspective) (π¨βπ» 93 Β· π 920 Β· π₯ 2K Β· π¦ 110 Β· π 710 - 12% open Β· β±οΈ 22.01.2024): +- [GitHub](https://github.com/finos/perspective) (π¨βπ» 93 Β· π 920 Β· π₯ 2K Β· π¦ 110 Β· π 720 - 12% open Β· β±οΈ 22.01.2024): ``` git clone https://github.com/finos/perspective ``` -- [PyPi](https://pypi.org/project/perspective-python) (π₯ 6.1K / month Β· π¦ 15 Β· β±οΈ 29.11.2023): +- [PyPi](https://pypi.org/project/perspective-python) (π₯ 6.4K / month Β· π¦ 15 Β· β±οΈ 29.11.2023): ``` pip install perspective-python ``` @@ -1083,79 +1117,79 @@ _General-purpose and task-specific data visualization libraries._ ``` conda install -c conda-forge perspective ``` -- [npm](https://www.npmjs.com/package/@finos/perspective-jupyterlab) (π₯ 520 / month): +- [npm](https://www.npmjs.com/package/@finos/perspective-jupyterlab) (π₯ 500 / month Β· π¦ 3 Β· β±οΈ 29.11.2023): ``` npm install @finos/perspective-jupyterlab ``` </details> <details><summary><b><a href="https://github.com/man-group/dtale">D-Tale</a></b> (π₯31 Β· β 4.4K) - Visualizer for pandas data structures. <code><a href="https://tldrlegal.com/search?q=LGPL-2.1">βοΈLGPL-2.1</a></code> <code><img src="https://git.io/JLy1S" style="display:inline;" width="13" height="13"></code> <code><img src="https://git.io/JLy1E" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/man-group/dtale) (π¨βπ» 30 Β· π 370 Β· π¦ 1K Β· π 560 - 10% open Β· β±οΈ 05.01.2024): +- [GitHub](https://github.com/man-group/dtale) (π¨βπ» 30 Β· π 370 Β· π¦ 1K Β· π 570 - 10% open Β· β±οΈ 31.01.2024): ``` git clone https://github.com/man-group/dtale ``` -- [PyPi](https://pypi.org/project/dtale) (π₯ 78K / month Β· π¦ 23 Β· β±οΈ 05.01.2024): +- [PyPi](https://pypi.org/project/dtale) (π₯ 100K / month Β· π¦ 23 Β· β±οΈ 31.01.2024): ``` pip install dtale ``` -- [Conda](https://anaconda.org/conda-forge/dtale) (π₯ 260K Β· β±οΈ 05.01.2024): +- [Conda](https://anaconda.org/conda-forge/dtale) (π₯ 260K Β· β±οΈ 31.01.2024): ``` conda install -c conda-forge dtale ``` </details> <details><summary><b><a href="https://github.com/holoviz/datashader">datashader</a></b> (π₯31 Β· β 3.1K) - Quickly and accurately render even the largest data. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary> -- [GitHub](https://github.com/holoviz/datashader) (π¨βπ» 54 Β· π 360 Β· π¦ 3.5K Β· π 570 - 22% open Β· β±οΈ 08.01.2024): +- [GitHub](https://github.com/holoviz/datashader) (π¨βπ» 54 Β· π 370 Β· π¦ 3.5K Β· π 570 - 23% open Β· β±οΈ 08.01.2024): ``` git clone https://github.com/holoviz/datashader ``` -- [PyPi](https://pypi.org/project/datashader) (π₯ 79K / month): +- [PyPi](https://pypi.org/project/datashader) (π₯ 86K / month Β· π¦ 130 Β· β±οΈ 31.10.2023): ``` pip install datashader ``` -- [Conda](https://anaconda.org/conda-forge/datashader) (π₯ 740K Β· β±οΈ 27.10.2023): +- [Conda](https://anaconda.org/conda-forge/datashader) (π₯ 750K Β· β±οΈ 27.10.2023): ``` conda install -c conda-forge datashader ``` </details> <details><summary><b><a href="https://github.com/JetBrains/lets-plot">lets-plot</a></b> (π₯31 Β· β 1.4K) - Multiplatform plotting library based on Grammar of Graphics. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> -- [GitHub](https://github.com/JetBrains/lets-plot) (π¨βπ» 20 Β· π 46 Β· π₯ 580 Β· π¦ 56 Β· π 500 - 25% open Β· β±οΈ 25.01.2024): +- [GitHub](https://github.com/JetBrains/lets-plot) (π¨βπ» 20 Β· π 46 Β· π₯ 600 Β· π¦ 57 Β· π 500 - 25% open Β· β±οΈ 01.02.2024): ``` git clone https://github.com/JetBrains/lets-plot ``` -- [PyPi](https://pypi.org/project/lets-plot) (π₯ 23K / month Β· π¦ 2 Β· β±οΈ 28.12.2023): +- [PyPi](https://pypi.org/project/lets-plot) (π₯ 26K / month Β· π¦ 2 Β· β±οΈ 28.12.2023): ``` pip install lets-plot ``` </details> -<details><summary><b><a href="https://github.com/holoviz/hvplot">hvPlot</a></b> (π₯31 Β· β 880) - A high-level plotting API for pandas, dask, xarray, and networkx built on.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary> +<details><summary><b><a href="https://github.com/holoviz/hvplot">hvPlot</a></b> (π₯31 Β· β 890) - A high-level plotting API for pandas, dask, xarray, and networkx built on.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary> -- [GitHub](https://github.com/holoviz/hvplot) (π¨βπ» 45 Β· π 93 Β· π¦ 4.3K Β· π 710 - 43% open Β· β±οΈ 19.01.2024): +- [GitHub](https://github.com/holoviz/hvplot) (π¨βπ» 46 Β· π 94 Β· π¦ 4.3K Β· π 720 - 44% open Β· β±οΈ 31.01.2024): ``` git clone https://github.com/holoviz/hvplot ``` -- [PyPi](https://pypi.org/project/hvplot) (π₯ 140K / month): +- [PyPi](https://pypi.org/project/hvplot) (π₯ 150K / month Β· π¦ 110 Β· β±οΈ 29.01.2024): ``` pip install hvplot ``` -- [Conda](https://anaconda.org/conda-forge/hvplot) (π₯ 520K Β· β±οΈ 22.12.2023): +- [Conda](https://anaconda.org/conda-forge/hvplot) (π₯ 520K Β· β±οΈ 30.01.2024): ``` conda install -c conda-forge hvplot ``` </details> <details><summary><b><a href="https://github.com/bqplot/bqplot">bqplot</a></b> (π₯30 Β· β 3.5K) - Plotting library for IPython/Jupyter notebooks. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1E" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/bqplot/bqplot) (π¨βπ» 64 Β· π 440 Β· π¦ 53 Β· π 590 - 37% open Β· β±οΈ 04.10.2023): +- [GitHub](https://github.com/bqplot/bqplot) (π¨βπ» 64 Β· π 470 Β· π¦ 53 Β· π 620 - 40% open Β· β±οΈ 04.10.2023): ``` git clone https://github.com/bqplot/bqplot ``` -- [PyPi](https://pypi.org/project/bqplot) (π₯ 110K / month): +- [PyPi](https://pypi.org/project/bqplot) (π₯ 120K / month Β· π¦ 110 Β· β±οΈ 17.10.2023): ``` pip install bqplot ``` @@ -1163,19 +1197,19 @@ _General-purpose and task-specific data visualization libraries._ ``` conda install -c conda-forge bqplot ``` -- [npm](https://www.npmjs.com/package/bqplot) (π₯ 2.9K / month): +- [npm](https://www.npmjs.com/package/bqplot) (π₯ 3.2K / month Β· π¦ 17 Β· β±οΈ 17.10.2023): ``` npm install bqplot ``` </details> <details><summary><b><a href="https://github.com/AutoViML/AutoViz">AutoViz</a></b> (π₯29 Β· β 1.6K) - Automatically Visualize any dataset, any size with a single line of.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> -- [GitHub](https://github.com/AutoViML/AutoViz) (π¨βπ» 15 Β· π 200 Β· π¦ 600 Β· π 84 - 1% open Β· β±οΈ 11.01.2024): +- [GitHub](https://github.com/AutoViML/AutoViz) (π¨βπ» 15 Β· π 200 Β· π¦ 610 Β· π 84 - 1% open Β· β±οΈ 11.01.2024): ``` git clone https://github.com/AutoViML/AutoViz ``` -- [PyPi](https://pypi.org/project/autoviz) (π₯ 240K / month Β· π¦ 7 Β· β±οΈ 11.01.2024): +- [PyPi](https://pypi.org/project/autoviz) (π₯ 170K / month Β· π¦ 7 Β· β±οΈ 11.01.2024): ``` pip install autoviz ``` @@ -1184,18 +1218,6 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge autoviz ``` </details> -<details><summary><b><a href="https://github.com/tensorflow/data-validation">data-validation</a></b> (π₯29 Β· β 740) - Library for exploring and validating machine learning.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code> <code><img src="https://git.io/JLy1E" style="display:inline;" width="13" height="13"></code></summary> - -- [GitHub](https://github.com/tensorflow/data-validation) (π¨βπ» 26 Β· π 160 Β· π₯ 640 Β· π¦ 790 Β· π 180 - 19% open Β· β±οΈ 08.01.2024): - - ``` - git clone https://github.com/tensorflow/data-validation - ``` -- [PyPi](https://pypi.org/project/tensorflow-data-validation) (π₯ 170K / month Β· π¦ 30 Β· β±οΈ 14.08.2023): - ``` - pip install tensorflow-data-validation - ``` -</details> <details><summary><b><a href="https://github.com/PAIR-code/facets">Facets Overview</a></b> (π₯28 Β· β 7.3K Β· π€) - Visualizations for machine learning datasets. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1E" style="display:inline;" width="13" height="13"></code></summary> - [GitHub](https://github.com/PAIR-code/facets) (π¨βπ» 31 Β· π 910 Β· π¦ 210 Β· π 160 - 50% open Β· β±οΈ 24.05.2023): @@ -1203,35 +1225,19 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/pair-code/facets ``` -- [PyPi](https://pypi.org/project/facets-overview) (π₯ 220K / month Β· π¦ 8 Β· β±οΈ 24.05.2023): +- [PyPi](https://pypi.org/project/facets-overview) (π₯ 230K / month Β· π¦ 8 Β· β±οΈ 24.05.2023): ``` pip install facets-overview ``` </details> -<details><summary><b><a href="https://github.com/lmcinnes/umap">UMAP</a></b> (π₯28 Β· β 6.7K Β· π) - Uniform Manifold Approximation and Projection. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary> - -- [GitHub](https://github.com/lmcinnes/umap) (π¨βπ» 130 Β· π 720 Β· π¦ 1 Β· π 750 - 56% open Β· β±οΈ 08.01.2024): - - ``` - git clone https://github.com/lmcinnes/umap - ``` -- [PyPi](https://pypi.org/project/umap-learn) (π₯ 760K / month): - ``` - pip install umap-learn - ``` -- [Conda](https://anaconda.org/conda-forge/umap-learn) (π₯ 2.3M Β· β±οΈ 18.11.2023): - ``` - conda install -c conda-forge umap-learn - ``` -</details> -<details><summary><b><a href="https://github.com/ResidentMario/missingno">missingno</a></b> (π₯28 Β· β 3.7K Β· π€) - Missing data visualization module for Python. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> +<details><summary><b><a href="https://github.com/ResidentMario/missingno">missingno</a></b> (π₯28 Β· β 3.8K Β· π€) - Missing data visualization module for Python. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> -- [GitHub](https://github.com/ResidentMario/missingno) (π¨βπ» 18 Β· π 450 Β· π¦ 15K Β· π 130 - 6% open Β· β±οΈ 26.02.2023): +- [GitHub](https://github.com/ResidentMario/missingno) (π¨βπ» 18 Β· π 460 Β· π¦ 15K Β· π 130 - 6% open Β· β±οΈ 26.02.2023): ``` git clone https://github.com/ResidentMario/missingno ``` -- [PyPi](https://pypi.org/project/missingno) (π₯ 300K / month): +- [PyPi](https://pypi.org/project/missingno) (π₯ 300K / month Β· π¦ 140 Β· β±οΈ 26.02.2023): ``` pip install missingno ``` @@ -1240,14 +1246,14 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge missingno ``` </details> -<details><summary><b><a href="https://github.com/fbdesignpro/sweetviz">Sweetviz</a></b> (π₯27 Β· β 2.8K) - Visualize and compare datasets, target values and associations, with one.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> +<details><summary><b><a href="https://github.com/fbdesignpro/sweetviz">Sweetviz</a></b> (π₯28 Β· β 2.8K) - Visualize and compare datasets, target values and associations, with one.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> - [GitHub](https://github.com/fbdesignpro/sweetviz) (π¨βπ» 11 Β· π 260 Β· π¦ 2K Β· π 130 - 25% open Β· β±οΈ 29.11.2023): ``` git clone https://github.com/fbdesignpro/sweetviz ``` -- [PyPi](https://pypi.org/project/sweetviz) (π₯ 59K / month Β· π¦ 20 Β· β±οΈ 29.11.2023): +- [PyPi](https://pypi.org/project/sweetviz) (π₯ 64K / month Β· π¦ 20 Β· β±οΈ 29.11.2023): ``` pip install sweetviz ``` @@ -1256,30 +1262,26 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge sweetviz ``` </details> -<details><summary><b><a href="https://github.com/pavlin-policar/openTSNE">openTSNE</a></b> (π₯27 Β· β 1.3K) - Extensible, parallel implementations of t-SNE. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary> +<details><summary><b><a href="https://github.com/tensorflow/data-validation">data-validation</a></b> (π₯28 Β· β 740) - Library for exploring and validating machine learning.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code> <code><img src="https://git.io/JLy1E" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/pavlin-policar/openTSNE) (π¨βπ» 11 Β· π 150 Β· π¦ 720 Β· π 130 - 1% open Β· β±οΈ 29.11.2023): +- [GitHub](https://github.com/tensorflow/data-validation) (π¨βπ» 26 Β· π 160 Β· π₯ 640 Β· π¦ 790 Β· π 180 - 19% open Β· β±οΈ 08.01.2024): ``` - git clone https://github.com/pavlin-policar/openTSNE - ``` -- [PyPi](https://pypi.org/project/opentsne) (π₯ 28K / month): - ``` - pip install opentsne + git clone https://github.com/tensorflow/data-validation ``` -- [Conda](https://anaconda.org/conda-forge/opentsne) (π₯ 230K Β· β±οΈ 29.11.2023): +- [PyPi](https://pypi.org/project/tensorflow-data-validation) (π₯ 180K / month Β· π¦ 30 Β· β±οΈ 14.08.2023): ``` - conda install -c conda-forge opentsne + pip install tensorflow-data-validation ``` </details> <details><summary><b><a href="https://github.com/spotify/chartify">Chartify</a></b> (π₯26 Β· β 3.4K) - Python library that makes it easy for data scientists to create.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> -- [GitHub](https://github.com/spotify/chartify) (π¨βπ» 25 Β· π 300 Β· π¦ 73 Β· π 75 - 57% open Β· β±οΈ 12.10.2023): +- [GitHub](https://github.com/spotify/chartify) (π¨βπ» 25 Β· π 310 Β· π¦ 74 Β· π 80 - 60% open Β· β±οΈ 12.10.2023): ``` git clone https://github.com/spotify/chartify ``` -- [PyPi](https://pypi.org/project/chartify) (π₯ 4.1K / month): +- [PyPi](https://pypi.org/project/chartify) (π₯ 4.2K / month Β· π¦ 10 Β· β±οΈ 12.10.2023): ``` pip install chartify ``` @@ -1288,14 +1290,30 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge chartify ``` </details> -<details><summary><b><a href="https://github.com/jupyter-widgets/pythreejs">pythreejs</a></b> (π₯26 Β· β 910 Β· π€) - A Jupyter - Three.js bridge. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1E" style="display:inline;" width="13" height="13"></code></summary> +<details><summary><b><a href="https://github.com/pavlin-policar/openTSNE">openTSNE</a></b> (π₯26 Β· β 1.3K) - Extensible, parallel implementations of t-SNE. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary> -- [GitHub](https://github.com/jupyter-widgets/pythreejs) (π¨βπ» 30 Β· π 180 Β· π¦ 29 Β· π 240 - 25% open Β· β±οΈ 20.02.2023): +- [GitHub](https://github.com/pavlin-policar/openTSNE) (π¨βπ» 11 Β· π 160 Β· π¦ 720 Β· π 130 - 1% open Β· β±οΈ 29.11.2023): ``` - git clone https://github.com/jupyter-widgets/pythreejs + git clone https://github.com/pavlin-policar/openTSNE + ``` +- [PyPi](https://pypi.org/project/opentsne) (π₯ 31K / month Β· π¦ 18 Β· β±οΈ 29.11.2023): + ``` + pip install opentsne + ``` +- [Conda](https://anaconda.org/conda-forge/opentsne) (π₯ 230K Β· β±οΈ 29.11.2023): + ``` + conda install -c conda-forge opentsne + ``` +</details> +<details><summary><b><a href="https://github.com/jupyter-widgets/pythreejs">pythreejs</a></b> (π₯26 Β· β 920 Β· π€) - A Jupyter - Three.js bridge. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1E" style="display:inline;" width="13" height="13"></code></summary> + +- [GitHub](https://github.com/jupyter-widgets/pythreejs) (π¨βπ» 30 Β· π 180 Β· π¦ 29 Β· π 240 - 25% open Β· β±οΈ 20.02.2023): + + ``` + git clone https://github.com/jupyter-widgets/pythreejs ``` -- [PyPi](https://pypi.org/project/pythreejs) (π₯ 45K / month Β· π¦ 58 Β· β±οΈ 20.02.2023): +- [PyPi](https://pypi.org/project/pythreejs) (π₯ 49K / month Β· π¦ 58 Β· β±οΈ 20.02.2023): ``` pip install pythreejs ``` @@ -1303,35 +1321,35 @@ _General-purpose and task-specific data visualization libraries._ ``` conda install -c conda-forge pythreejs ``` -- [npm](https://www.npmjs.com/package/jupyter-threejs) (π₯ 3K / month Β· π¦ 12 Β· β±οΈ 20.02.2023): +- [npm](https://www.npmjs.com/package/jupyter-threejs) (π₯ 3.5K / month Β· π¦ 12 Β· β±οΈ 20.02.2023): ``` npm install jupyter-threejs ``` </details> -<details><summary><b><a href="https://github.com/predict-idlab/plotly-resampler">Plotly-Resampler</a></b> (π₯26 Β· β 880) - Visualize large time series data with plotly.py. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> +<details><summary><b><a href="https://github.com/predict-idlab/plotly-resampler">Plotly-Resampler</a></b> (π₯26 Β· β 890) - Visualize large time series data with plotly.py. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> -- [GitHub](https://github.com/predict-idlab/plotly-resampler) (π¨βπ» 11 Β· π 56 Β· π¦ 810 Β· π 150 - 28% open Β· β±οΈ 14.01.2024): +- [GitHub](https://github.com/predict-idlab/plotly-resampler) (π¨βπ» 11 Β· π 56 Β· π¦ 820 Β· π 150 - 28% open Β· β±οΈ 14.01.2024): ``` git clone https://github.com/predict-idlab/plotly-resampler ``` -- [PyPi](https://pypi.org/project/plotly-resampler) (π₯ 390K / month Β· π¦ 11 Β· β±οΈ 14.01.2024): +- [PyPi](https://pypi.org/project/plotly-resampler) (π₯ 420K / month Β· π¦ 11 Β· β±οΈ 14.01.2024): ``` pip install plotly-resampler ``` -- [Conda](https://anaconda.org/conda-forge/plotly-resampler) (π₯ 33K Β· β±οΈ 23.01.2024): +- [Conda](https://anaconda.org/conda-forge/plotly-resampler) (π₯ 34K Β· β±οΈ 23.01.2024): ``` conda install -c conda-forge plotly-resampler ``` </details> -<details><summary><b><a href="https://github.com/facebookresearch/hiplot">HiPlot</a></b> (π₯25 Β· β 2.6K) - HiPlot makes understanding high dimensional data easy. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> +<details><summary><b><a href="https://github.com/facebookresearch/hiplot">HiPlot</a></b> (π₯25 Β· β 2.6K Β· π€) - HiPlot makes understanding high dimensional data easy. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> -- [GitHub](https://github.com/facebookresearch/hiplot) (π¨βπ» 9 Β· π 130 Β· π¦ 370 Β· π 89 - 17% open Β· β±οΈ 19.07.2023): +- [GitHub](https://github.com/facebookresearch/hiplot) (π¨βπ» 9 Β· π 140 Β· π¦ 370 Β· π 91 - 19% open Β· β±οΈ 19.07.2023): ``` git clone https://github.com/facebookresearch/hiplot ``` -- [PyPi](https://pypi.org/project/hiplot) (π₯ 27K / month): +- [PyPi](https://pypi.org/project/hiplot) (π₯ 28K / month Β· π¦ 15 Β· β±οΈ 05.07.2022): ``` pip install hiplot ``` @@ -1347,11 +1365,11 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/DmitryUlyanov/Multicore-TSNE ``` -- [PyPi](https://pypi.org/project/MulticoreTSNE) (π₯ 1.7K / month Β· π¦ 22 Β· β±οΈ 09.01.2019): +- [PyPi](https://pypi.org/project/MulticoreTSNE) (π₯ 1.8K / month Β· π¦ 22 Β· β±οΈ 09.01.2019): ``` pip install MulticoreTSNE ``` -- [Conda](https://anaconda.org/conda-forge/multicore-tsne) (π₯ 31K Β· β±οΈ 11.10.2023): +- [Conda](https://anaconda.org/conda-forge/multicore-tsne) (π₯ 32K Β· β±οΈ 11.10.2023): ``` conda install -c conda-forge multicore-tsne ``` @@ -1363,7 +1381,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/PatrikHlobil/Pandas-Bokeh ``` -- [PyPi](https://pypi.org/project/pandas-bokeh) (π₯ 17K / month Β· π¦ 12 Β· β±οΈ 11.04.2021): +- [PyPi](https://pypi.org/project/pandas-bokeh) (π₯ 20K / month Β· π¦ 12 Β· β±οΈ 11.04.2021): ``` pip install pandas-bokeh ``` @@ -1375,7 +1393,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/marcharper/python-ternary ``` -- [PyPi](https://pypi.org/project/python-ternary) (π₯ 40K / month Β· π¦ 27 Β· β±οΈ 17.02.2021): +- [PyPi](https://pypi.org/project/python-ternary) (π₯ 42K / month Β· π¦ 27 Β· β±οΈ 17.02.2021): ``` pip install python-ternary ``` @@ -1384,14 +1402,14 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge python-ternary ``` </details> -<details><summary><b><a href="https://github.com/vega/ipyvega">vega</a></b> (π₯22 Β· β 370) - IPython/Jupyter notebook module for Vega and Vega-Lite. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1E" style="display:inline;" width="13" height="13"></code></summary> +<details><summary><b><a href="https://github.com/vega/ipyvega">vega</a></b> (π₯23 Β· β 370) - IPython/Jupyter notebook module for Vega and Vega-Lite. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1E" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/vega/ipyvega) (π¨βπ» 15 Β· π 60 Β· π¦ 4 Β· π 100 - 10% open Β· β±οΈ 03.01.2024): +- [GitHub](https://github.com/vega/ipyvega) (π¨βπ» 15 Β· π 62 Β· π¦ 4 Β· π 100 - 12% open Β· β±οΈ 01.02.2024): ``` git clone https://github.com/vega/ipyvega ``` -- [PyPi](https://pypi.org/project/vega) (π₯ 19K / month): +- [PyPi](https://pypi.org/project/vega) (π₯ 26K / month Β· π¦ 83 Β· β±οΈ 12.04.2023): ``` pip install vega ``` @@ -1400,62 +1418,60 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge vega ``` </details> -<details><summary><b><a href="https://github.com/SauceCat/PDPbox">PDPbox</a></b> (π₯20 Β· β 800 Β· π€) - python partial dependence plot toolbox. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> +<details><summary><b><a href="https://github.com/ing-bank/popmon">Popmon</a></b> (π₯21 Β· β 480 Β· π€) - Monitor the stability of a Pandas or Spark dataframe. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1S" style="display:inline;" width="13" height="13"></code> <code><img src="https://git.io/JLy1N" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/SauceCat/PDPbox) (π¨βπ» 7 Β· π 130 Β· π 66 - 40% open Β· β±οΈ 05.06.2023): +- [GitHub](https://github.com/ing-bank/popmon) (π¨βπ» 17 Β· π 35 Β· π₯ 140 Β· π¦ 20 Β· π 55 - 27% open Β· β±οΈ 18.07.2023): ``` - git clone https://github.com/SauceCat/PDPbox - ``` -- [PyPi](https://pypi.org/project/pdpbox) (π₯ 21K / month Β· π¦ 26 Β· β±οΈ 14.03.2021): - ``` - pip install pdpbox + git clone https://github.com/ing-bank/popmon ``` -- [Conda](https://anaconda.org/conda-forge/pdpbox) (π₯ 20K Β· β±οΈ 10.06.2023): +- [PyPi](https://pypi.org/project/popmon) (π₯ 11K / month Β· π¦ 2 Β· β±οΈ 18.07.2023): ``` - conda install -c conda-forge pdpbox + pip install popmon ``` </details> -<details><summary><b><a href="https://github.com/ing-bank/popmon">Popmon</a></b> (π₯20 Β· β 480) - Monitor the stability of a Pandas or Spark dataframe. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1S" style="display:inline;" width="13" height="13"></code> <code><img src="https://git.io/JLy1N" style="display:inline;" width="13" height="13"></code></summary> +<details><summary><b><a href="https://github.com/beringresearch/ivis">ivis</a></b> (π₯19 Β· β 310) - Dimensionality reduction in very large datasets using Siamese.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/ing-bank/popmon) (π¨βπ» 17 Β· π 35 Β· π₯ 140 Β· π¦ 20 Β· π 55 - 27% open Β· β±οΈ 18.07.2023): +- [GitHub](https://github.com/beringresearch/ivis) (π¨βπ» 10 Β· π 42 Β· π¦ 31 Β· π 59 - 5% open Β· β±οΈ 09.11.2023): ``` - git clone https://github.com/ing-bank/popmon + git clone https://github.com/beringresearch/ivis ``` -- [PyPi](https://pypi.org/project/popmon) (π₯ 6.4K / month Β· π¦ 2 Β· β±οΈ 18.07.2023): +- [PyPi](https://pypi.org/project/ivis) (π₯ 300 / month Β· π¦ 2 Β· β±οΈ 10.03.2022): ``` - pip install popmon + pip install ivis ``` </details> -<details><summary><b><a href="https://github.com/beringresearch/ivis">ivis</a></b> (π₯20 Β· β 310) - Dimensionality reduction in very large datasets using Siamese.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary> +<details><summary><b><a href="https://github.com/SauceCat/PDPbox">PDPbox</a></b> (π₯18 Β· β 800 Β· π€) - python partial dependence plot toolbox. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> -- [GitHub](https://github.com/beringresearch/ivis) (π¨βπ» 10 Β· π 42 Β· π¦ 31 Β· π 59 - 5% open Β· β±οΈ 09.11.2023): +- [GitHub](https://github.com/SauceCat/PDPbox) (π¨βπ» 7 Β· π 130 Β· π 66 - 40% open Β· β±οΈ 05.06.2023): ``` - git clone https://github.com/beringresearch/ivis + git clone https://github.com/SauceCat/PDPbox ``` -- [PyPi](https://pypi.org/project/ivis) (π₯ 290 / month Β· π¦ 2 Β· β±οΈ 10.03.2022): +- [PyPi](https://pypi.org/project/pdpbox) (π₯ 25K / month): ``` - pip install ivis + pip install pdpbox + ``` +- [Conda](https://anaconda.org/conda-forge/pdpbox) (π₯ 20K Β· β±οΈ 10.06.2023): + ``` + conda install -c conda-forge pdpbox ``` </details> -<details><summary>Show 14 hidden projects...</summary> +<details><summary>Show 12 hidden projects...</summary> -- <b><a href="https://github.com/pyqtgraph/pyqtgraph">PyQtGraph</a></b> (π₯33 Β· β 3.6K) - Fast data visualization and GUI tools for scientific /.. <code>βUnlicensed</code> -- <b><a href="https://github.com/SciTools/cartopy">cartopy</a></b> (π₯33 Β· β 1.3K) - Cartopy - a cartographic python library with matplotlib support. <code><a href="http://bit.ly/37RvQcA">βοΈLGPL-3.0</a></code> -- <b><a href="https://github.com/santosjorge/cufflinks">Cufflinks</a></b> (π₯27 Β· β 2.9K Β· π) - Productivity Tools for Plotly + Pandas. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1S" style="display:inline;" width="13" height="13"></code> +- <b><a href="https://github.com/santosjorge/cufflinks">Cufflinks</a></b> (π₯29 Β· β 2.9K Β· π) - Productivity Tools for Plotly + Pandas. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1S" style="display:inline;" width="13" height="13"></code> - <b><a href="https://github.com/ContextLab/hypertools">HyperTools</a></b> (π₯25 Β· β 1.8K Β· π) - A Python toolbox for gaining geometric insights into high-.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> -- <b><a href="https://github.com/adamerose/PandasGUI">PandasGUI</a></b> (π₯23 Β· β 3.1K) - A GUI for Pandas DataFrames. <code><a href="https://tldrlegal.com/search?q=MIT-0">βοΈMIT-0</a></code> <code><img src="https://git.io/JLy1S" style="display:inline;" width="13" height="13"></code> +- <b><a href="https://github.com/adamerose/PandasGUI">PandasGUI</a></b> (π₯24 Β· β 3.1K) - A GUI for Pandas DataFrames. <code><a href="https://tldrlegal.com/search?q=MIT-0">βοΈMIT-0</a></code> <code><img src="https://git.io/JLy1S" style="display:inline;" width="13" height="13"></code> - <b><a href="https://github.com/nicolaskruchten/jupyter_pivottablejs">pivottablejs</a></b> (π₯23 Β· β 640 Β· π) - Dragndrop Pivot Tables and Charts for Jupyter/IPython.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1E" style="display:inline;" width="13" height="13"></code> - <b><a href="https://github.com/leotac/joypy">joypy</a></b> (π₯21 Β· β 520 Β· π) - Joyplots in Python with matplotlib & pandas. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> - <b><a href="https://github.com/hex-inc/vegafusion">vegafusion</a></b> (π₯21 Β· β 280) - Serverside scaling for Vega and Altair visualizations. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> -- <b><a href="https://github.com/gyli/PyWaffle">PyWaffle</a></b> (π₯19 Β· β 570 Β· π) - Make Waffle Charts in Python. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> +- <b><a href="https://github.com/gyli/PyWaffle">PyWaffle</a></b> (π₯20 Β· β 570 Β· π) - Make Waffle Charts in Python. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> - <b><a href="https://github.com/t-makaro/animatplot">animatplot</a></b> (π₯18 Β· β 410 Β· π) - A python package for animating plots build on matplotlib. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> - <b><a href="https://github.com/altair-viz/pdvega">pdvega</a></b> (π₯16 Β· β 340 Β· π) - Interactive plotting for Pandas using Vega-Lite. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> +- <b><a href="https://github.com/data-describe/data-describe">data-describe</a></b> (π₯16 Β· β 300 Β· π) - datadescribe: Pythonic EDA Accelerator for Data Science. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> - <b><a href="https://github.com/Zsailer/nx_altair">nx-altair</a></b> (π₯15 Β· β 220 Β· π) - Draw interactive NetworkX graphs with Altair. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1E" style="display:inline;" width="13" height="13"></code> -- <b><a href="https://github.com/data-describe/data-describe">data-describe</a></b> (π₯14 Β· β 300 Β· π) - datadescribe: Pythonic EDA Accelerator for Data.. <code>βUnlicensed</code> -- <b><a href="https://github.com/biovault/nptsne">nptsne</a></b> (π₯9 Β· β 32 Β· π) - nptsne is a numpy compatible python binary package that offers a.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> +- <b><a href="https://github.com/biovault/nptsne">nptsne</a></b> (π₯11 Β· β 32 Β· π) - nptsne is a numpy compatible python binary package that offers a.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> </details> <br> @@ -1465,14 +1481,14 @@ _General-purpose and task-specific data visualization libraries._ _Libraries for processing, cleaning, manipulating, and analyzing text data as well as libraries for NLP tasks such as language detection, fuzzy matching, classification, seq2seq learning, conversational AI, keyword extraction, and translation._ -<details><summary><b><a href="https://github.com/huggingface/transformers">transformers</a></b> (π₯50 Β· β 120K Β· π) - Transformers: State-of-the-art Machine Learning for.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary> +<details><summary><b><a href="https://github.com/huggingface/transformers">transformers</a></b> (π₯50 Β· β 120K) - Transformers: State-of-the-art Machine Learning for.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/huggingface/transformers) (π¨βπ» 2.4K Β· π 23K Β· π¦ 130K Β· π 14K - 5% open Β· β±οΈ 25.01.2024): +- [GitHub](https://github.com/huggingface/transformers) (π¨βπ» 2.4K Β· π 23K Β· π¦ 130K Β· π 14K - 5% open Β· β±οΈ 01.02.2024): ``` git clone https://github.com/huggingface/transformers ``` -- [PyPi](https://pypi.org/project/transformers) (π₯ 19M / month): +- [PyPi](https://pypi.org/project/transformers) (π₯ 20M / month): ``` pip install transformers ``` @@ -1483,12 +1499,12 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we </details> <details><summary><b><a href="https://github.com/explosion/spaCy">spaCy</a></b> (π₯45 Β· β 28K) - Industrial-strength Natural Language Processing (NLP) in Python. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> -- [GitHub](https://github.com/explosion/spaCy) (π¨βπ» 750 Β· π 4.4K Β· π¦ 79K Β· π 5.5K - 1% open Β· β±οΈ 24.01.2024): +- [GitHub](https://github.com/explosion/spaCy) (π¨βπ» 750 Β· π 4.4K Β· π¦ 79K Β· π 5.6K - 1% open Β· β±οΈ 30.01.2024): ``` git clone https://github.com/explosion/spaCy ``` -- [PyPi](https://pypi.org/project/spacy) (π₯ 5.6M / month Β· π¦ 2.9K Β· β±οΈ 16.10.2023): +- [PyPi](https://pypi.org/project/spacy) (π₯ 6M / month Β· π¦ 3K Β· β±οΈ 25.01.2024): ``` pip install spacy ``` @@ -1497,14 +1513,14 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we conda install -c conda-forge spacy ``` </details> -<details><summary><b><a href="https://github.com/nltk/nltk">nltk</a></b> (π₯42 Β· β 13K) - Suite of libraries and programs for symbolic and statistical natural.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> +<details><summary><b><a href="https://github.com/nltk/nltk">nltk</a></b> (π₯43 Β· β 13K) - Suite of libraries and programs for symbolic and statistical natural.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> -- [GitHub](https://github.com/nltk/nltk) (π¨βπ» 450 Β· π 2.7K Β· π¦ 250K Β· π 1.8K - 14% open Β· β±οΈ 24.12.2023): +- [GitHub](https://github.com/nltk/nltk) (π¨βπ» 450 Β· π 2.8K Β· π¦ 250K Β· π 1.8K - 15% open Β· β±οΈ 29.01.2024): ``` git clone https://github.com/nltk/nltk ``` -- [PyPi](https://pypi.org/project/nltk) (π₯ 12M / month): +- [PyPi](https://pypi.org/project/nltk) (π₯ 13M / month Β· π¦ 13K Β· β±οΈ 20.07.2023): ``` pip install nltk ``` @@ -1513,20 +1529,20 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we conda install -c conda-forge nltk ``` </details> -<details><summary><b><a href="https://github.com/piskvorky/gensim">gensim</a></b> (π₯40 Β· β 15K) - Topic Modelling for Humans. <code><a href="https://tldrlegal.com/search?q=LGPL-2.1">βοΈLGPL-2.1</a></code></summary> +<details><summary><b><a href="https://github.com/UKPLab/sentence-transformers">sentence-transformers</a></b> (π₯40 Β· β 13K) - Multilingual Sentence & Image Embeddings with BERT. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/piskvorky/gensim) (π¨βπ» 450 Β· π 4.4K Β· π₯ 4.6K Β· π¦ 55K Β· π 1.8K - 20% open Β· β±οΈ 01.10.2023): +- [GitHub](https://github.com/UKPLab/sentence-transformers) (π¨βπ» 140 Β· π 2.2K Β· π¦ 23K Β· π 1.9K - 53% open Β· β±οΈ 01.02.2024): ``` - git clone https://github.com/RaRe-Technologies/gensim + git clone https://github.com/UKPLab/sentence-transformers ``` -- [PyPi](https://pypi.org/project/gensim) (π₯ 3.8M / month Β· π¦ 3.2K Β· β±οΈ 24.08.2023): +- [PyPi](https://pypi.org/project/sentence-transformers) (π₯ 3.3M / month Β· π¦ 680 Β· β±οΈ 30.01.2024): ``` - pip install gensim + pip install sentence-transformers ``` -- [Conda](https://anaconda.org/conda-forge/gensim) (π₯ 1.2M Β· β±οΈ 24.08.2023): +- [Conda](https://anaconda.org/conda-forge/sentence-transformers) (π₯ 200K Β· β±οΈ 31.01.2024): ``` - conda install -c conda-forge gensim + conda install -c conda-forge sentence-transformers ``` </details> <details><summary><b><a href="https://github.com/RasaHQ/rasa">Rasa</a></b> (π₯39 Β· β 18K) - Open source machine learning framework to automate text- and voice-.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary> @@ -1541,34 +1557,50 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we pip install rasa ``` </details> -<details><summary><b><a href="https://github.com/UKPLab/sentence-transformers">sentence-transformers</a></b> (π₯38 Β· β 13K) - Multilingual Sentence & Image Embeddings with BERT. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> +<details><summary><b><a href="https://github.com/piskvorky/gensim">gensim</a></b> (π₯39 Β· β 15K) - Topic Modelling for Humans. <code><a href="https://tldrlegal.com/search?q=LGPL-2.1">βοΈLGPL-2.1</a></code></summary> -- [GitHub](https://github.com/UKPLab/sentence-transformers) (π¨βπ» 140 Β· π 2.2K Β· π¦ 23K Β· π 1.8K - 53% open Β· β±οΈ 23.01.2024): +- [GitHub](https://github.com/piskvorky/gensim) (π¨βπ» 450 Β· π 4.4K Β· π₯ 4.6K Β· π¦ 55K Β· π 1.8K - 20% open Β· β±οΈ 01.10.2023): ``` - git clone https://github.com/UKPLab/sentence-transformers + git clone https://github.com/RaRe-Technologies/gensim ``` -- [PyPi](https://pypi.org/project/sentence-transformers) (π₯ 3M / month): +- [PyPi](https://pypi.org/project/gensim) (π₯ 3.9M / month Β· π¦ 3.2K Β· β±οΈ 24.08.2023): ``` - pip install sentence-transformers + pip install gensim ``` -- [Conda](https://anaconda.org/conda-forge/sentence-transformers) (π₯ 200K Β· β±οΈ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/gensim) (π₯ 1.2M Β· β±οΈ 24.08.2023): ``` - conda install -c conda-forge sentence-transformers + conda install -c conda-forge gensim + ``` +</details> +<details><summary><b><a href="https://github.com/flairNLP/flair">flair</a></b> (π₯38 Β· β 13K) - A very simple framework for state-of-the-art Natural Language Processing.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> + +- [GitHub](https://github.com/flairNLP/flair) (π¨βπ» 250 Β· π 2.1K Β· π¦ 3K Β· π 2.2K - 2% open Β· β±οΈ 30.01.2024): + + ``` + git clone https://github.com/flairNLP/flair + ``` +- [PyPi](https://pypi.org/project/flair) (π₯ 120K / month Β· π¦ 96 Β· β±οΈ 18.12.2023): + ``` + pip install flair + ``` +- [Conda](https://anaconda.org/conda-forge/python-flair) (π₯ 23K Β· β±οΈ 05.01.2024): + ``` + conda install -c conda-forge python-flair ``` </details> <details><summary><b><a href="https://github.com/huggingface/tokenizers">Tokenizers</a></b> (π₯37 Β· β 8.1K) - Fast State-of-the-Art Tokenizers optimized for Research and.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> -- [GitHub](https://github.com/huggingface/tokenizers) (π¨βπ» 85 Β· π 660 Β· π₯ 33 Β· π¦ 58K Β· π 880 - 24% open Β· β±οΈ 22.01.2024): +- [GitHub](https://github.com/huggingface/tokenizers) (π¨βπ» 85 Β· π 690 Β· π₯ 33 Β· π¦ 59K Β· π 880 - 23% open Β· β±οΈ 22.01.2024): ``` git clone https://github.com/huggingface/tokenizers ``` -- [PyPi](https://pypi.org/project/tokenizers) (π₯ 16M / month): +- [PyPi](https://pypi.org/project/tokenizers) (π₯ 17M / month Β· π¦ 400 Β· β±οΈ 22.01.2024): ``` pip install tokenizers ``` -- [Conda](https://anaconda.org/conda-forge/tokenizers) (π₯ 1.4M Β· β±οΈ 12.12.2023): +- [Conda](https://anaconda.org/conda-forge/tokenizers) (π₯ 1.4M Β· β±οΈ 26.01.2024): ``` conda install -c conda-forge tokenizers ``` @@ -1580,7 +1612,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/facebookresearch/fairseq ``` -- [PyPi](https://pypi.org/project/fairseq) (π₯ 470K / month): +- [PyPi](https://pypi.org/project/fairseq) (π₯ 540K / month): ``` pip install fairseq ``` @@ -1591,12 +1623,12 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we </details> <details><summary><b><a href="https://github.com/google/sentencepiece">sentencepiece</a></b> (π₯36 Β· β 8.9K) - Unsupervised text tokenizer for Neural Network-based text.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> -- [GitHub](https://github.com/google/sentencepiece) (π¨βπ» 82 Β· π 1K Β· π₯ 33K Β· π¦ 53K Β· π 700 - 4% open Β· β±οΈ 22.01.2024): +- [GitHub](https://github.com/google/sentencepiece) (π¨βπ» 82 Β· π 1K Β· π₯ 33K Β· π¦ 54K Β· π 700 - 4% open Β· β±οΈ 28.01.2024): ``` git clone https://github.com/google/sentencepiece ``` -- [PyPi](https://pypi.org/project/sentencepiece) (π₯ 11M / month): +- [PyPi](https://pypi.org/project/sentencepiece) (π₯ 12M / month Β· π¦ 980 Β· β±οΈ 02.05.2023): ``` pip install sentencepiece ``` @@ -1605,9 +1637,21 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we conda install -c conda-forge sentencepiece ``` </details> +<details><summary><b><a href="https://github.com/BerriAI/litellm">litellm</a></b> (π₯36 Β· β 5K) - Call all LLM APIs using the OpenAI format. Use.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code>o</code> <code>t</code> <code>h</code> <code>e</code> <code>r</code> <code>s</code></summary> + +- [GitHub](https://github.com/BerriAI/litellm) (π¨βπ» 110 Β· π 490 Β· π¦ 830 Β· π 1.3K - 18% open Β· β±οΈ 01.02.2024): + + ``` + git clone https://github.com/BerriAI/litellm + ``` +- [PyPi](https://pypi.org/project/litellm) (π₯ 260K / month Β· π¦ 60 Β· β±οΈ 01.02.2024): + ``` + pip install litellm + ``` +</details> <details><summary><b><a href="https://github.com/JohnSnowLabs/spark-nlp">spark-nlp</a></b> (π₯36 Β· β 3.6K) - State of the Art Natural Language Processing. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1N" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/JohnSnowLabs/spark-nlp) (π¨βπ» 110 Β· π 690 Β· π¦ 380 Β· π 840 - 4% open Β· β±οΈ 18.01.2024): +- [GitHub](https://github.com/JohnSnowLabs/spark-nlp) (π¨βπ» 110 Β· π 690 Β· π¦ 390 Β· π 850 - 5% open Β· β±οΈ 18.01.2024): ``` git clone https://github.com/JohnSnowLabs/spark-nlp @@ -1624,7 +1668,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/facebookresearch/fastText ``` -- [PyPi](https://pypi.org/project/fasttext) (π₯ 920K / month Β· π¦ 220 Β· β±οΈ 28.04.2020): +- [PyPi](https://pypi.org/project/fasttext) (π₯ 960K / month Β· π¦ 220 Β· β±οΈ 28.04.2020): ``` pip install fasttext ``` @@ -1633,78 +1677,94 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we conda install -c conda-forge fasttext ``` </details> -<details><summary><b><a href="https://github.com/deepset-ai/haystack">haystack</a></b> (π₯35 Β· β 12K) - LLM orchestration framework to build customizable, production-ready.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> +<details><summary><b><a href="https://github.com/deepset-ai/haystack">haystack</a></b> (π₯35 Β· β 13K) - LLM orchestration framework to build customizable, production-ready.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> -- [GitHub](https://github.com/deepset-ai/haystack) (π¨βπ» 230 Β· π 1.5K Β· π₯ 23 Β· π¦ 83 Β· π 2.9K - 12% open Β· β±οΈ 25.01.2024): +- [GitHub](https://github.com/deepset-ai/haystack) (π¨βπ» 230 Β· π 1.5K Β· π₯ 23 Β· π¦ 96 Β· π 2.9K - 12% open Β· β±οΈ 01.02.2024): ``` git clone https://github.com/deepset-ai/haystack ``` -- [PyPi](https://pypi.org/project/haystack) (π₯ 2.4K / month Β· π¦ 87 Β· β±οΈ 15.12.2021): +- [PyPi](https://pypi.org/project/haystack) (π₯ 2.6K / month Β· π¦ 87 Β· β±οΈ 15.12.2021): ``` pip install haystack ``` </details> -<details><summary><b><a href="https://github.com/NVIDIA/NeMo">NeMo</a></b> (π₯35 Β· β 9K) - NeMo: a toolkit for conversational AI. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> +<details><summary><b><a href="https://github.com/NVIDIA/NeMo">NeMo</a></b> (π₯35 Β· β 9.1K) - NeMo: a toolkit for conversational AI. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/NVIDIA/NeMo) (π¨βπ» 270 Β· π 1.9K Β· π₯ 56K Β· π¦ 21 Β· π 1.9K - 2% open Β· β±οΈ 24.01.2024): +- [GitHub](https://github.com/NVIDIA/NeMo) (π¨βπ» 270 Β· π 1.9K Β· π₯ 61K Β· π¦ 21 Β· π 1.9K - 2% open Β· β±οΈ 31.01.2024): ``` git clone https://github.com/NVIDIA/NeMo ``` -- [PyPi](https://pypi.org/project/nemo-toolkit) (π₯ 40K / month): +- [PyPi](https://pypi.org/project/nemo-toolkit) (π₯ 46K / month): ``` pip install nemo-toolkit ``` </details> -<details><summary><b><a href="https://github.com/BerriAI/litellm">litellm</a></b> (π₯35 Β· β 4.8K Β· π£) - Call all LLM APIs using the OpenAI format. Use.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code>o</code> <code>t</code> <code>h</code> <code>e</code> <code>r</code> <code>s</code></summary> +<details><summary><b><a href="https://github.com/sloria/TextBlob">TextBlob</a></b> (π₯35 Β· β 8.8K Β· π€) - Simple, Pythonic, text processing--Sentiment analysis, part-of-.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> -- [GitHub](https://github.com/BerriAI/litellm) (π¨βπ» 110 Β· π 470 Β· π¦ 790 Β· π 1.2K - 16% open Β· β±οΈ 25.01.2024): +- [GitHub](https://github.com/sloria/TextBlob) (π¨βπ» 36 Β· π 1.1K Β· π₯ 110 Β· π¦ 36K Β· π 270 - 42% open Β· β±οΈ 11.03.2023): ``` - git clone https://github.com/BerriAI/litellm + git clone https://github.com/sloria/TextBlob ``` -- [PyPi](https://pypi.org/project/litellm) (π₯ 220K / month Β· π¦ 57 Β· β±οΈ 25.01.2024): +- [PyPi](https://pypi.org/project/textblob) (π₯ 560K / month Β· π¦ 1.4K Β· β±οΈ 22.10.2021): ``` - pip install litellm + pip install textblob + ``` +- [Conda](https://anaconda.org/conda-forge/textblob) (π₯ 240K Β· β±οΈ 16.06.2023): + ``` + conda install -c conda-forge textblob ``` </details> -<details><summary><b><a href="https://github.com/sloria/TextBlob">TextBlob</a></b> (π₯34 Β· β 8.8K Β· π€) - Simple, Pythonic, text processing--Sentiment analysis, part-of-.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> +<details><summary><b><a href="https://github.com/stanfordnlp/stanza">stanza</a></b> (π₯34 Β· β 6.9K) - Stanford NLP Python library for tokenization, sentence segmentation,.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> -- [GitHub](https://github.com/sloria/TextBlob) (π¨βπ» 36 Β· π 1.1K Β· π₯ 110 Β· π¦ 35K Β· π 260 - 40% open Β· β±οΈ 11.03.2023): +- [GitHub](https://github.com/stanfordnlp/stanza) (π¨βπ» 66 Β· π 900 Β· π¦ 2.4K Β· π 850 - 9% open Β· β±οΈ 02.12.2023): ``` - git clone https://github.com/sloria/TextBlob + git clone https://github.com/stanfordnlp/stanza ``` -- [PyPi](https://pypi.org/project/textblob) (π₯ 520K / month): +- [PyPi](https://pypi.org/project/stanza) (π₯ 160K / month Β· π¦ 95 Β· β±οΈ 03.12.2023): ``` - pip install textblob + pip install stanza ``` -- [Conda](https://anaconda.org/conda-forge/textblob) (π₯ 240K Β· β±οΈ 16.06.2023): +- [Conda](https://anaconda.org/stanfordnlp/stanza) (π₯ 7.3K Β· β±οΈ 16.06.2023): ``` - conda install -c conda-forge textblob + conda install -c stanfordnlp stanza ``` </details> -<details><summary><b><a href="https://github.com/OpenNMT/OpenNMT-py">OpenNMT</a></b> (π₯34 Β· β 6.4K) - Open Source Neural Machine Translation and (Large) Language Models.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> +<details><summary><b><a href="https://github.com/OpenNMT/OpenNMT-py">OpenNMT</a></b> (π₯34 Β· β 6.5K) - Open Source Neural Machine Translation and (Large) Language Models.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/OpenNMT/OpenNMT-py) (π¨βπ» 190 Β· π 2.2K Β· π¦ 250 Β· π 1.4K - 1% open Β· β±οΈ 23.01.2024): +- [GitHub](https://github.com/OpenNMT/OpenNMT-py) (π¨βπ» 190 Β· π 2.1K Β· π¦ 250 Β· π 1.4K - 0% open Β· β±οΈ 01.02.2024): ``` git clone https://github.com/OpenNMT/OpenNMT-py ``` -- [PyPi](https://pypi.org/project/OpenNMT-py) (π₯ 5K / month Β· π¦ 10 Β· β±οΈ 02.11.2023): +- [PyPi](https://pypi.org/project/OpenNMT-py) (π₯ 5.6K / month): ``` pip install OpenNMT-py ``` </details> +<details><summary><b><a href="https://github.com/pytorch/text">torchtext</a></b> (π₯34 Β· β 3.4K Β· π) - Models, data loaders and abstractions for language.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> + +- [GitHub](https://github.com/pytorch/text) (π¨βπ» 150 Β· π 830 Β· π 830 - 38% open Β· β±οΈ 13.01.2024): + + ``` + git clone https://github.com/pytorch/text + ``` +- [PyPi](https://pypi.org/project/torchtext) (π₯ 440K / month Β· π¦ 500 Β· β±οΈ 30.01.2024): + ``` + pip install torchtext + ``` +</details> <details><summary><b><a href="https://github.com/argilla-io/argilla">rubrix</a></b> (π₯34 Β· β 2.9K) - Argilla: the open-source feedback platform for LLMs. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> -- [GitHub](https://github.com/argilla-io/argilla) (π¨βπ» 76 Β· π 280 Β· π¦ 2.2K Β· π 1.8K - 10% open Β· β±οΈ 25.01.2024): +- [GitHub](https://github.com/argilla-io/argilla) (π¨βπ» 76 Β· π 290 Β· π¦ 2.2K Β· π 1.8K - 10% open Β· β±οΈ 31.01.2024): ``` git clone https://github.com/recognai/rubrix ``` -- [PyPi](https://pypi.org/project/rubrix) (π₯ 450 / month Β· β±οΈ 24.10.2022): +- [PyPi](https://pypi.org/project/rubrix) (π₯ 490 / month Β· β±οΈ 24.10.2022): ``` pip install rubrix ``` @@ -1715,80 +1775,80 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we </details> <details><summary><b><a href="https://github.com/tensorflow/text">TensorFlow Text</a></b> (π₯34 Β· β 1.2K) - Making text a first-class citizen in TensorFlow. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/tensorflow/text) (π¨βπ» 110 Β· π 310 Β· π¦ 6.3K Β· π 240 - 30% open Β· β±οΈ 09.01.2024): +- [GitHub](https://github.com/tensorflow/text) (π¨βπ» 110 Β· π 320 Β· π¦ 6.4K Β· π 240 - 30% open Β· β±οΈ 31.01.2024): ``` git clone https://github.com/tensorflow/text ``` -- [PyPi](https://pypi.org/project/tensorflow-text) (π₯ 4.3M / month): +- [PyPi](https://pypi.org/project/tensorflow-text) (π₯ 5M / month Β· π¦ 140 Β· β±οΈ 15.11.2023): ``` pip install tensorflow-text ``` </details> -<details><summary><b><a href="https://github.com/deeppavlov/DeepPavlov">DeepPavlov</a></b> (π₯32 Β· β 6.5K) - An open source library for deep learning end-to-end dialog.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary> +<details><summary><b><a href="https://github.com/jamesturk/jellyfish">jellyfish</a></b> (π₯33 Β· β 2K) - a python library for doing approximate and phonetic matching of strings. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> -- [GitHub](https://github.com/deeppavlov/DeepPavlov) (π¨βπ» 76 Β· π 1.1K Β· π¦ 370 Β· π 630 - 3% open Β· β±οΈ 27.12.2023): +- [GitHub](https://github.com/jamesturk/jellyfish) (π¨βπ» 31 Β· π 160 Β· π¦ 8K Β· π 130 - 5% open Β· β±οΈ 17.11.2023): ``` - git clone https://github.com/deepmipt/DeepPavlov + git clone https://github.com/jamesturk/jellyfish ``` -- [PyPi](https://pypi.org/project/deeppavlov) (π₯ 8.6K / month Β· π¦ 7 Β· β±οΈ 27.12.2023): +- [PyPi](https://pypi.org/project/jellyfish) (π₯ 2.6M / month Β· π¦ 450 Β· β±οΈ 17.11.2023): ``` - pip install deeppavlov + pip install jellyfish + ``` +- [Conda](https://anaconda.org/conda-forge/jellyfish) (π₯ 780K Β· β±οΈ 17.11.2023): + ``` + conda install -c conda-forge jellyfish ``` </details> -<details><summary><b><a href="https://github.com/snowballstem/snowball">snowballstemmer</a></b> (π₯32 Β· β 700) - Snowball compiler and stemming algorithms. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary> +<details><summary><b><a href="https://github.com/deeppavlov/DeepPavlov">DeepPavlov</a></b> (π₯32 Β· β 6.5K) - An open source library for deep learning end-to-end dialog.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/snowballstem/snowball) (π¨βπ» 34 Β· π 170 Β· π¦ 5 Β· π 90 - 34% open Β· β±οΈ 23.01.2024): +- [GitHub](https://github.com/deeppavlov/DeepPavlov) (π¨βπ» 76 Β· π 1.1K Β· π¦ 370 Β· π 630 - 3% open Β· β±οΈ 27.12.2023): ``` - git clone https://github.com/snowballstem/snowball - ``` -- [PyPi](https://pypi.org/project/snowballstemmer) (π₯ 9.1M / month Β· π¦ 6.8K Β· β±οΈ 16.11.2021): + git clone https://github.com/deepmipt/DeepPavlov ``` - pip install snowballstemmer +- [PyPi](https://pypi.org/project/deeppavlov) (π₯ 8.7K / month Β· π¦ 7 Β· β±οΈ 27.12.2023): ``` -- [Conda](https://anaconda.org/conda-forge/snowballstemmer) (π₯ 7.6M Β· β±οΈ 16.06.2023): - ``` - conda install -c conda-forge snowballstemmer + pip install deeppavlov ``` </details> -<details><summary><b><a href="https://github.com/jamesturk/jellyfish">jellyfish</a></b> (π₯31 Β· β 2K) - a python library for doing approximate and phonetic matching of strings. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> +<details><summary><b><a href="https://github.com/rspeer/python-ftfy">ftfy</a></b> (π₯32 Β· β 3.6K) - Fixes mojibake and other glitches in Unicode text, after the fact. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> -- [GitHub](https://github.com/jamesturk/jellyfish) (π¨βπ» 31 Β· π 160 Β· π¦ 7.9K Β· π 130 - 3% open Β· β±οΈ 17.11.2023): +- [GitHub](https://github.com/rspeer/python-ftfy) (π¨βπ» 18 Β· π 150 Β· π¦ 17K Β· π 140 - 12% open Β· β±οΈ 21.11.2023): ``` - git clone https://github.com/jamesturk/jellyfish + git clone https://github.com/rspeer/python-ftfy ``` -- [PyPi](https://pypi.org/project/jellyfish) (π₯ 2.4M / month): +- [PyPi](https://pypi.org/project/ftfy) (π₯ 4.5M / month Β· π¦ 640 Β· β±οΈ 21.11.2023): ``` - pip install jellyfish + pip install ftfy ``` -- [Conda](https://anaconda.org/conda-forge/jellyfish) (π₯ 780K Β· β±οΈ 17.11.2023): +- [Conda](https://anaconda.org/conda-forge/ftfy) (π₯ 280K Β· β±οΈ 22.11.2023): ``` - conda install -c conda-forge jellyfish + conda install -c conda-forge ftfy ``` </details> -<details><summary><b><a href="https://github.com/facebookresearch/ParlAI">ParlAI</a></b> (π₯30 Β· β 10K) - A framework for training and evaluating AI models on a variety of.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> +<details><summary><b><a href="https://github.com/facebookresearch/ParlAI">ParlAI</a></b> (π₯31 Β· β 10K) - A framework for training and evaluating AI models on a variety of.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> - [GitHub](https://github.com/facebookresearch/ParlAI) (π¨βπ» 220 Β· π 2K Β· π¦ 21 Β· π 1.5K - 3% open Β· β±οΈ 03.11.2023): ``` git clone https://github.com/facebookresearch/ParlAI ``` -- [PyPi](https://pypi.org/project/parlai) (π₯ 4.7K / month): +- [PyPi](https://pypi.org/project/parlai) (π₯ 8.2K / month): ``` pip install parlai ``` </details> -<details><summary><b><a href="https://github.com/dedupeio/dedupe">Dedupe</a></b> (π₯30 Β· β 3.9K) - A python library for accurate and scalable fuzzy matching, record.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> +<details><summary><b><a href="https://github.com/dedupeio/dedupe">Dedupe</a></b> (π₯31 Β· β 3.9K) - A python library for accurate and scalable fuzzy matching, record.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> -- [GitHub](https://github.com/dedupeio/dedupe) (π¨βπ» 70 Β· π 520 Β· π¦ 310 Β· π 800 - 8% open Β· β±οΈ 19.12.2023): +- [GitHub](https://github.com/dedupeio/dedupe) (π¨βπ» 70 Β· π 520 Β· π¦ 310 Β· π 810 - 9% open Β· β±οΈ 19.12.2023): ``` git clone https://github.com/dedupeio/dedupe ``` -- [PyPi](https://pypi.org/project/dedupe) (π₯ 61K / month): +- [PyPi](https://pypi.org/project/dedupe) (π₯ 64K / month Β· π¦ 49 Β· β±οΈ 17.02.2023): ``` pip install dedupe ``` @@ -1797,118 +1857,122 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we conda install -c conda-forge dedupe ``` </details> -<details><summary><b><a href="https://github.com/explosion/spacy-transformers">spacy-transformers</a></b> (π₯30 Β· β 1.3K) - Use pretrained transformers like BERT, XLNet and GPT-2.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code>spacy</code></summary> +<details><summary><b><a href="https://github.com/snowballstem/snowball">snowballstemmer</a></b> (π₯31 Β· β 710) - Snowball compiler and stemming algorithms. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary> -- [GitHub](https://github.com/explosion/spacy-transformers) (π¨βπ» 22 Β· π 150 Β· π¦ 1.5K Β· β±οΈ 19.12.2023): +- [GitHub](https://github.com/snowballstem/snowball) (π¨βπ» 34 Β· π 170 Β· π¦ 5 Β· π 90 - 34% open Β· β±οΈ 30.01.2024): ``` - git clone https://github.com/explosion/spacy-transformers + git clone https://github.com/snowballstem/snowball ``` -- [PyPi](https://pypi.org/project/spacy-transformers) (π₯ 160K / month): +- [PyPi](https://pypi.org/project/snowballstemmer) (π₯ 11M / month Β· π¦ 6.8K Β· β±οΈ 16.11.2021): ``` - pip install spacy-transformers + pip install snowballstemmer ``` -- [Conda](https://anaconda.org/conda-forge/spacy-transformers) (π₯ 27K Β· β±οΈ 19.12.2023): +- [Conda](https://anaconda.org/conda-forge/snowballstemmer) (π₯ 7.6M Β· β±οΈ 16.06.2023): ``` - conda install -c conda-forge spacy-transformers + conda install -c conda-forge snowballstemmer ``` </details> -<details><summary><b><a href="https://github.com/cltk/cltk">CLTK</a></b> (π₯30 Β· β 810) - The Classical Language Toolkit. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> +<details><summary><b><a href="https://github.com/life4/textdistance">TextDistance</a></b> (π₯30 Β· β 3.3K) - Compute distance between sequences. 30+ algorithms, pure python.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> -- [GitHub](https://github.com/cltk/cltk) (π¨βπ» 120 Β· π 320 Β· π₯ 50 Β· π¦ 260 Β· π 560 - 5% open Β· β±οΈ 27.12.2023): +- [GitHub](https://github.com/life4/textdistance) (π¨βπ» 14 Β· π 240 Β· π₯ 970 Β· π¦ 5.6K Β· β±οΈ 29.12.2023): ``` - git clone https://github.com/cltk/cltk - ``` -- [PyPi](https://pypi.org/project/cltk) (π₯ 1.2K / month): + git clone https://github.com/life4/textdistance ``` - pip install cltk +- [PyPi](https://pypi.org/project/textdistance) (π₯ 480K / month): ``` -</details> -<details><summary><b><a href="https://github.com/pytorch/text">torchtext</a></b> (π₯29 Β· β 3.4K Β· π) - Models, data loaders and abstractions for language.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> - -- [GitHub](https://github.com/pytorch/text) (π¨βπ» 150 Β· π 780 Β· π 780 - 34% open Β· β±οΈ 13.01.2024): - - ``` - git clone https://github.com/pytorch/text + pip install textdistance ``` -- [PyPi](https://pypi.org/project/torchtext) (π₯ 370K / month): +- [Conda](https://anaconda.org/conda-forge/textdistance) (π₯ 510K Β· β±οΈ 16.06.2023): ``` - pip install torchtext + conda install -c conda-forge textdistance ``` </details> -<details><summary><b><a href="https://github.com/life4/textdistance">TextDistance</a></b> (π₯29 Β· β 3.3K) - Compute distance between sequences. 30+ algorithms, pure python.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> +<details><summary><b><a href="https://github.com/explosion/spacy-transformers">spacy-transformers</a></b> (π₯30 Β· β 1.3K) - Use pretrained transformers like BERT, XLNet and GPT-2.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code>spacy</code></summary> -- [GitHub](https://github.com/life4/textdistance) (π¨βπ» 14 Β· π 240 Β· π₯ 970 Β· π¦ 5.6K Β· β±οΈ 29.12.2023): +- [GitHub](https://github.com/explosion/spacy-transformers) (π¨βπ» 22 Β· π 150 Β· π¦ 1.5K Β· β±οΈ 19.12.2023): ``` - git clone https://github.com/life4/textdistance + git clone https://github.com/explosion/spacy-transformers ``` -- [PyPi](https://pypi.org/project/textdistance) (π₯ 400K / month): +- [PyPi](https://pypi.org/project/spacy-transformers) (π₯ 180K / month): ``` - pip install textdistance + pip install spacy-transformers ``` -- [Conda](https://anaconda.org/conda-forge/textdistance) (π₯ 510K Β· β±οΈ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/spacy-transformers) (π₯ 27K Β· β±οΈ 19.12.2023): ``` - conda install -c conda-forge textdistance + conda install -c conda-forge spacy-transformers ``` </details> -<details><summary><b><a href="https://github.com/qdrant/qdrant">qdrant</a></b> (π₯28 Β· β 16K) - Qdrant - High-performance, massive-scale Vector Database for the next.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> +<details><summary><b><a href="https://github.com/cltk/cltk">CLTK</a></b> (π₯30 Β· β 810) - The Classical Language Toolkit. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> -- [GitHub](https://github.com/qdrant/qdrant) (π¨βπ» 80 Β· π 940 Β· π₯ 9.6K Β· π 960 - 22% open Β· β±οΈ 18.01.2024): +- [GitHub](https://github.com/cltk/cltk) (π¨βπ» 120 Β· π 320 Β· π₯ 50 Β· π¦ 260 Β· π 560 - 6% open Β· β±οΈ 27.12.2023): ``` - git clone https://github.com/qdrant/qdrant + git clone https://github.com/cltk/cltk + ``` +- [PyPi](https://pypi.org/project/cltk) (π₯ 1.3K / month Β· π¦ 42 Β· β±οΈ 27.12.2023): + ``` + pip install cltk ``` </details> -<details><summary><b><a href="https://github.com/miso-belica/sumy">Sumy</a></b> (π₯28 Β· β 3.3K) - Module for automatic summarization of text documents and HTML pages. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> +<details><summary><b><a href="https://github.com/miso-belica/sumy">Sumy</a></b> (π₯29 Β· β 3.4K) - Module for automatic summarization of text documents and HTML pages. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> -- [GitHub](https://github.com/miso-belica/sumy) (π¨βπ» 30 Β· π 510 Β· π¦ 2.4K Β· π 120 - 14% open Β· β±οΈ 23.01.2024): +- [GitHub](https://github.com/miso-belica/sumy) (π¨βπ» 30 Β· π 510 Β· π¦ 2.5K Β· π 120 - 14% open Β· β±οΈ 23.01.2024): ``` git clone https://github.com/miso-belica/sumy ``` -- [PyPi](https://pypi.org/project/sumy) (π₯ 56K / month): +- [PyPi](https://pypi.org/project/sumy) (π₯ 65K / month): ``` pip install sumy ``` -- [Conda](https://anaconda.org/conda-forge/sumy) (π₯ 7.3K Β· β±οΈ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/sumy) (π₯ 7.4K Β· β±οΈ 16.06.2023): ``` conda install -c conda-forge sumy ``` </details> -<details><summary><b><a href="https://github.com/zjunlp/DeepKE">DeepKE</a></b> (π₯28 Β· β 2.7K) - An Open Toolkit for Knowledge Graph Extraction and Construction.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> +<details><summary><b><a href="https://github.com/allenai/scispacy">SciSpacy</a></b> (π₯29 Β· β 1.6K) - A full spaCy pipeline and models for scientific/biomedical documents. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> -- [GitHub](https://github.com/zjunlp/DeepKE) (π¨βπ» 31 Β· π 600 Β· π¦ 20 Β· π 380 - 0% open Β· β±οΈ 23.01.2024): +- [GitHub](https://github.com/allenai/scispacy) (π¨βπ» 32 Β· π 210 Β· π¦ 830 Β· π 310 - 10% open Β· β±οΈ 20.10.2023): ``` - git clone https://github.com/zjunlp/deepke + git clone https://github.com/allenai/scispacy ``` -- [PyPi](https://pypi.org/project/deepke) (π₯ 510 / month Β· β±οΈ 21.09.2023): +- [PyPi](https://pypi.org/project/scispacy) (π₯ 28K / month Β· π¦ 30 Β· β±οΈ 30.09.2023): ``` - pip install deepke + pip install scispacy ``` </details> -<details><summary><b><a href="https://github.com/allenai/scispacy">SciSpacy</a></b> (π₯28 Β· β 1.5K) - A full spaCy pipeline and models for scientific/biomedical documents. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> +<details><summary><b><a href="https://github.com/qdrant/qdrant">qdrant</a></b> (π₯28 Β· β 16K) - Qdrant - High-performance, massive-scale Vector Database for the next.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> -- [GitHub](https://github.com/allenai/scispacy) (π¨βπ» 32 Β· π 210 Β· π¦ 820 Β· π 310 - 10% open Β· β±οΈ 20.10.2023): +- [GitHub](https://github.com/qdrant/qdrant) (π¨βπ» 80 Β· π 970 Β· π₯ 11K Β· π 970 - 21% open Β· β±οΈ 29.01.2024): ``` - git clone https://github.com/allenai/scispacy + git clone https://github.com/qdrant/qdrant ``` -- [PyPi](https://pypi.org/project/scispacy) (π₯ 24K / month Β· π¦ 30 Β· β±οΈ 30.09.2023): +</details> +<details><summary><b><a href="https://github.com/zjunlp/DeepKE">DeepKE</a></b> (π₯28 Β· β 2.7K) - An Open Toolkit for Knowledge Graph Extraction and Construction.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> + +- [GitHub](https://github.com/zjunlp/DeepKE) (π¨βπ» 31 Β· π 600 Β· π¦ 20 Β· π 380 - 0% open Β· β±οΈ 27.01.2024): + ``` - pip install scispacy + git clone https://github.com/zjunlp/deepke + ``` +- [PyPi](https://pypi.org/project/deepke) (π₯ 560 / month Β· β±οΈ 21.09.2023): + ``` + pip install deepke ``` </details> <details><summary><b><a href="https://github.com/Ciphey/Ciphey">Ciphey</a></b> (π₯27 Β· β 15K) - Automatically decrypt encryptions without knowing the key or cipher, decode.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> -- [GitHub](https://github.com/Ciphey/Ciphey) (π¨βπ» 48 Β· π 920 Β· π 320 - 16% open Β· β±οΈ 12.10.2023): +- [GitHub](https://github.com/Ciphey/Ciphey) (π¨βπ» 48 Β· π 960 Β· π 330 - 19% open Β· β±οΈ 12.10.2023): ``` git clone https://github.com/Ciphey/Ciphey ``` -- [PyPi](https://pypi.org/project/ciphey) (π₯ 42K / month): +- [PyPi](https://pypi.org/project/ciphey) (π₯ 47K / month Β· β±οΈ 06.06.2021): ``` pip install ciphey ``` @@ -1917,78 +1981,102 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we docker pull remnux/ciphey ``` </details> -<details><summary><b><a href="https://github.com/DerwenAI/pytextrank">PyTextRank</a></b> (π₯27 Β· β 2.1K) - Python implementation of TextRank algorithms (textgraphs) for phrase.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> +<details><summary><b><a href="https://github.com/thunlp/OpenPrompt">OpenPrompt</a></b> (π₯26 Β· β 4K Β· π€) - An Open-Source Framework for Prompt-Learning. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> + +- [GitHub](https://github.com/thunlp/OpenPrompt) (π¨βπ» 22 Β· π 420 Β· π¦ 96 Β· π 250 - 29% open Β· β±οΈ 06.05.2023): + + ``` + git clone https://github.com/thunlp/OpenPrompt + ``` +- [PyPi](https://pypi.org/project/openprompt) (π₯ 1.2K / month Β· π¦ 2 Β· β±οΈ 06.07.2022): + ``` + pip install openprompt + ``` +</details> +<details><summary><b><a href="https://github.com/DerwenAI/pytextrank">PyTextRank</a></b> (π₯26 Β· β 2.1K) - Python implementation of TextRank algorithms (textgraphs) for phrase.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> - [GitHub](https://github.com/DerwenAI/pytextrank) (π¨βπ» 19 Β· π 310 Β· π¦ 560 Β· π 99 - 8% open Β· β±οΈ 22.08.2023): ``` git clone https://github.com/DerwenAI/pytextrank ``` -- [PyPi](https://pypi.org/project/pytextrank) (π₯ 40K / month): +- [PyPi](https://pypi.org/project/pytextrank) (π₯ 42K / month): ``` pip install pytextrank ``` </details> -<details><summary><b><a href="https://github.com/thunlp/OpenPrompt">OpenPrompt</a></b> (π₯25 Β· β 4K Β· π€) - An Open-Source Framework for Prompt-Learning. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> +<details><summary><b><a href="https://github.com/JasonKessler/scattertext">scattertext</a></b> (π₯25 Β· β 2.2K) - Beautiful visualizations of how language differs among document.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> -- [GitHub](https://github.com/thunlp/OpenPrompt) (π¨βπ» 22 Β· π 420 Β· π¦ 96 Β· π 250 - 29% open Β· β±οΈ 06.05.2023): +- [GitHub](https://github.com/JasonKessler/scattertext) (π¨βπ» 14 Β· π 280 Β· π¦ 490 Β· π 99 - 21% open Β· β±οΈ 05.09.2023): ``` - git clone https://github.com/thunlp/OpenPrompt + git clone https://github.com/JasonKessler/scattertext ``` -- [PyPi](https://pypi.org/project/openprompt) (π₯ 790 / month Β· π¦ 2 Β· β±οΈ 06.07.2022): +- [PyPi](https://pypi.org/project/scattertext) (π₯ 13K / month Β· π¦ 10 Β· β±οΈ 18.04.2023): ``` - pip install openprompt + pip install scattertext + ``` +- [Conda](https://anaconda.org/conda-forge/scattertext) (π₯ 86K Β· β±οΈ 16.06.2023): + ``` + conda install -c conda-forge scattertext ``` </details> -<details><summary><b><a href="https://github.com/bigscience-workshop/promptsource">promptsource</a></b> (π₯24 Β· β 2.3K) - Toolkit for creating, sharing and using natural language.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> +<details><summary><b><a href="https://github.com/unitaryai/detoxify">detoxify</a></b> (π₯25 Β· β 790) - Trained models & code to predict toxic comments on all 3 Jigsaw.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> -- [GitHub](https://github.com/bigscience-workshop/promptsource) (π¨βπ» 65 Β· π 300 Β· π¦ 78 Β· π 200 - 24% open Β· β±οΈ 23.10.2023): +- [GitHub](https://github.com/unitaryai/detoxify) (π¨βπ» 12 Β· π 100 Β· π₯ 370K Β· π¦ 520 Β· π 62 - 56% open Β· β±οΈ 01.02.2024): ``` - git clone https://github.com/bigscience-workshop/promptsource + git clone https://github.com/unitaryai/detoxify ``` -- [PyPi](https://pypi.org/project/promptsource) (π₯ 470 / month Β· π¦ 1 Β· β±οΈ 18.04.2022): +- [PyPi](https://pypi.org/project/detoxify) (π₯ 22K / month Β· π¦ 15 Β· β±οΈ 01.02.2024): ``` - pip install promptsource + pip install detoxify ``` </details> -<details><summary><b><a href="https://github.com/PetrochukM/PyTorch-NLP">pytorch-nlp</a></b> (π₯24 Β· β 2.2K) - Basic Utilities for PyTorch Natural Language Processing (NLP). <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> +<details><summary><b><a href="https://github.com/google-research/text-to-text-transfer-transformer">T5</a></b> (π₯24 Β· β 5.7K) - Code for the paper Exploring the Limits of Transfer Learning with a.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/PetrochukM/PyTorch-NLP) (π¨βπ» 18 Β· π 260 Β· π¦ 630 Β· π 69 - 27% open Β· β±οΈ 04.07.2023): +- [GitHub](https://github.com/google-research/text-to-text-transfer-transformer) (π¨βπ» 58 Β· π 730 Β· π 450 - 23% open Β· β±οΈ 23.01.2024): ``` - git clone https://github.com/PetrochukM/PyTorch-NLP + git clone https://github.com/google-research/text-to-text-transfer-transformer ``` -- [PyPi](https://pypi.org/project/pytorch-nlp) (π₯ 4K / month): +- [PyPi](https://pypi.org/project/t5) (π₯ 16K / month Β· π¦ 2 Β· β±οΈ 18.10.2021): ``` - pip install pytorch-nlp + pip install t5 ``` </details> -<details><summary><b><a href="https://github.com/JasonKessler/scattertext">scattertext</a></b> (π₯24 Β· β 2.2K) - Beautiful visualizations of how language differs among document.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> +<details><summary><b><a href="https://github.com/bigscience-workshop/promptsource">promptsource</a></b> (π₯24 Β· β 2.4K) - Toolkit for creating, sharing and using natural language.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> -- [GitHub](https://github.com/JasonKessler/scattertext) (π¨βπ» 14 Β· π 280 Β· π¦ 490 Β· π 99 - 21% open Β· β±οΈ 05.09.2023): +- [GitHub](https://github.com/bigscience-workshop/promptsource) (π¨βπ» 65 Β· π 300 Β· π¦ 83 Β· π 200 - 24% open Β· β±οΈ 23.10.2023): ``` - git clone https://github.com/JasonKessler/scattertext + git clone https://github.com/bigscience-workshop/promptsource ``` -- [PyPi](https://pypi.org/project/scattertext) (π₯ 13K / month): +- [PyPi](https://pypi.org/project/promptsource) (π₯ 490 / month Β· π¦ 1 Β· β±οΈ 18.04.2022): ``` - pip install scattertext + pip install promptsource ``` -- [Conda](https://anaconda.org/conda-forge/scattertext) (π₯ 86K Β· β±οΈ 16.06.2023): +</details> +<details><summary><b><a href="https://github.com/PetrochukM/PyTorch-NLP">pytorch-nlp</a></b> (π₯24 Β· β 2.2K Β· π€) - Basic Utilities for PyTorch Natural Language Processing.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> + +- [GitHub](https://github.com/PetrochukM/PyTorch-NLP) (π¨βπ» 18 Β· π 260 Β· π¦ 640 Β· π 69 - 27% open Β· β±οΈ 04.07.2023): + ``` - conda install -c conda-forge scattertext + git clone https://github.com/PetrochukM/PyTorch-NLP + ``` +- [PyPi](https://pypi.org/project/pytorch-nlp) (π₯ 5.4K / month): + ``` + pip install pytorch-nlp ``` </details> <details><summary><b><a href="https://github.com/explosion/sense2vec">sense2vec</a></b> (π₯24 Β· β 1.6K Β· π€) - Contextually-keyed word vectors. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> -- [GitHub](https://github.com/explosion/sense2vec) (π¨βπ» 19 Β· π 230 Β· π₯ 61K Β· π¦ 320 Β· π 110 - 19% open Β· β±οΈ 20.04.2023): +- [GitHub](https://github.com/explosion/sense2vec) (π¨βπ» 19 Β· π 240 Β· π₯ 62K Β· π¦ 320 Β· π 110 - 19% open Β· β±οΈ 20.04.2023): ``` git clone https://github.com/explosion/sense2vec ``` -- [PyPi](https://pypi.org/project/sense2vec) (π₯ 1.6K / month): +- [PyPi](https://pypi.org/project/sense2vec) (π₯ 1.7K / month Β· π¦ 14 Β· β±οΈ 19.04.2021): ``` pip install sense2vec ``` @@ -1997,18 +2085,6 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we conda install -c conda-forge sense2vec ``` </details> -<details><summary><b><a href="https://github.com/google-research/text-to-text-transfer-transformer">T5</a></b> (π₯23 Β· β 5.7K) - Code for the paper Exploring the Limits of Transfer Learning with a.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary> - -- [GitHub](https://github.com/google-research/text-to-text-transfer-transformer) (π¨βπ» 58 Β· π 730 Β· π 400 - 14% open Β· β±οΈ 23.01.2024): - - ``` - git clone https://github.com/google-research/text-to-text-transfer-transformer - ``` -- [PyPi](https://pypi.org/project/t5) (π₯ 15K / month): - ``` - pip install t5 - ``` -</details> <details><summary><b><a href="https://github.com/jbesomi/texthero">Texthero</a></b> (π₯23 Β· β 2.8K) - Text preprocessing, representation and visualization from zero to hero. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> - [GitHub](https://github.com/jbesomi/texthero) (π¨βπ» 21 Β· π 240 Β· π₯ 120 Β· π 140 - 55% open Β· β±οΈ 29.08.2023): @@ -2016,49 +2092,37 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/jbesomi/texthero ``` -- [PyPi](https://pypi.org/project/texthero) (π₯ 9.1K / month Β· π¦ 6 Β· β±οΈ 01.07.2021): +- [PyPi](https://pypi.org/project/texthero) (π₯ 9.3K / month Β· π¦ 6 Β· β±οΈ 01.07.2021): ``` pip install texthero ``` </details> -<details><summary><b><a href="https://github.com/VKCOM/YouTokenToMe">YouTokenToMe</a></b> (π₯23 Β· β 930 Β· π€) - Unsupervised text tokenizer focused on computational efficiency. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> +<details><summary><b><a href="https://github.com/utterworks/fast-bert">fast-bert</a></b> (π₯23 Β· β 1.8K) - Super easy library for BERT based NLP models. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> -- [GitHub](https://github.com/VKCOM/YouTokenToMe) (π¨βπ» 8 Β· π 81 Β· π¦ 600 Β· π 60 - 53% open Β· β±οΈ 29.03.2023): +- [GitHub](https://github.com/utterworks/fast-bert) (π¨βπ» 36 Β· π 340 Β· π 260 - 62% open Β· β±οΈ 30.01.2024): ``` - git clone https://github.com/vkcom/youtokentome - ``` -- [PyPi](https://pypi.org/project/youtokentome) (π₯ 31K / month): - ``` - pip install youtokentome + git clone https://github.com/utterworks/fast-bert ``` -- [Conda](https://anaconda.org/conda-forge/youtokentome) (π₯ 40K Β· β±οΈ 27.09.2023): +- [PyPi](https://pypi.org/project/fast-bert) (π₯ 1.7K / month Β· π¦ 2 Β· β±οΈ 30.01.2024): ``` - conda install -c conda-forge youtokentome + pip install fast-bert ``` </details> -<details><summary><b><a href="https://github.com/unitaryai/detoxify">detoxify</a></b> (π₯23 Β· β 790) - Trained models & code to predict toxic comments on all 3 Jigsaw.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> +<details><summary><b><a href="https://github.com/VKCOM/YouTokenToMe">YouTokenToMe</a></b> (π₯23 Β· β 930 Β· π€) - Unsupervised text tokenizer focused on computational efficiency. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> -- [GitHub](https://github.com/unitaryai/detoxify) (π¨βπ» 11 Β· π 100 Β· π₯ 360K Β· π¦ 500 Β· π 59 - 59% open Β· β±οΈ 23.08.2023): +- [GitHub](https://github.com/VKCOM/YouTokenToMe) (π¨βπ» 8 Β· π 82 Β· π¦ 600 Β· π 64 - 56% open Β· β±οΈ 29.03.2023): ``` - git clone https://github.com/unitaryai/detoxify - ``` -- [PyPi](https://pypi.org/project/detoxify) (π₯ 18K / month Β· π¦ 10 Β· β±οΈ 19.12.2022): + git clone https://github.com/vkcom/youtokentome ``` - pip install detoxify +- [PyPi](https://pypi.org/project/youtokentome) (π₯ 38K / month Β· π¦ 23 Β· β±οΈ 12.02.2020): ``` -</details> -<details><summary><b><a href="https://github.com/EricFillion/happy-transformer">happy-transformer</a></b> (π₯23 Β· β 490) - Happy Transformer makes it easy to fine-tune and.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code>huggingface</code></summary> - -- [GitHub](https://github.com/EricFillion/happy-transformer) (π¨βπ» 14 Β· π 63 Β· π¦ 220 Β· π 130 - 14% open Β· β±οΈ 10.08.2023): - - ``` - git clone https://github.com/EricFillion/happy-transformer + pip install youtokentome ``` -- [PyPi](https://pypi.org/project/happytransformer) (π₯ 2.9K / month Β· π¦ 5 Β· β±οΈ 05.08.2023): +- [Conda](https://anaconda.org/conda-forge/youtokentome) (π₯ 41K Β· β±οΈ 27.09.2023): ``` - pip install happytransformer + conda install -c conda-forge youtokentome ``` </details> <details><summary><b><a href="https://github.com/webis-de/small-text">small-text</a></b> (π₯22 Β· β 510) - Active Learning for Text Classification in Python. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> @@ -2068,7 +2132,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/webis-de/small-text ``` -- [PyPi](https://pypi.org/project/small-text) (π₯ 580 / month Β· β±οΈ 29.12.2023): +- [PyPi](https://pypi.org/project/small-text) (π₯ 450 / month Β· β±οΈ 29.12.2023): ``` pip install small-text ``` @@ -2077,74 +2141,74 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we conda install -c conda-forge small-text ``` </details> -<details><summary><b><a href="https://github.com/utterworks/fast-bert">fast-bert</a></b> (π₯21 Β· β 1.8K) - Super easy library for BERT based NLP models. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> +<details><summary><b><a href="https://github.com/EricFillion/happy-transformer">happy-transformer</a></b> (π₯22 Β· β 490) - Happy Transformer makes it easy to fine-tune and.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code>huggingface</code></summary> -- [GitHub](https://github.com/utterworks/fast-bert) (π¨βπ» 36 Β· π 330 Β· π 250 - 62% open Β· β±οΈ 27.07.2023): +- [GitHub](https://github.com/EricFillion/happy-transformer) (π¨βπ» 14 Β· π 63 Β· π¦ 220 Β· π 130 - 14% open Β· β±οΈ 10.08.2023): ``` - git clone https://github.com/utterworks/fast-bert + git clone https://github.com/EricFillion/happy-transformer ``` -- [PyPi](https://pypi.org/project/fast-bert) (π₯ 1.2K / month): +- [PyPi](https://pypi.org/project/happytransformer) (π₯ 3.2K / month Β· π¦ 5 Β· β±οΈ 05.08.2023): ``` - pip install fast-bert + pip install happytransformer ``` </details> <details><summary><b><a href="https://github.com/awslabs/sockeye">Sockeye</a></b> (π₯21 Β· β 1.2K) - Sequence-to-sequence framework with a focus on Neural Machine.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1X" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/awslabs/sockeye) (π¨βπ» 60 Β· π 330 Β· π₯ 17 Β· π 300 - 1% open Β· β±οΈ 17.10.2023): +- [GitHub](https://github.com/awslabs/sockeye) (π¨βπ» 60 Β· π 310 Β· π₯ 17 Β· π 300 - 1% open Β· β±οΈ 17.10.2023): ``` git clone https://github.com/awslabs/sockeye ``` -- [PyPi](https://pypi.org/project/sockeye) (π₯ 870 / month Β· π¦ 2 Β· β±οΈ 03.03.2023): +- [PyPi](https://pypi.org/project/sockeye) (π₯ 840 / month): ``` pip install sockeye ``` </details> -<details><summary><b><a href="https://github.com/unum-cloud/uform">UForm</a></b> (π₯21 Β· β 740) - Pocket-Sized Multimodal AI for content understanding and.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> +<details><summary><b><a href="https://github.com/unum-cloud/uform">UForm</a></b> (π₯21 Β· β 750) - Pocket-Sized Multimodal AI for content understanding and.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/unum-cloud/uform) (π¨βπ» 9 Β· π 34 Β· π¦ 15 Β· π 13 - 7% open Β· β±οΈ 29.12.2023): +- [GitHub](https://github.com/unum-cloud/uform) (π¨βπ» 9 Β· π 35 Β· π¦ 15 Β· π 14 - 14% open Β· β±οΈ 29.12.2023): ``` git clone https://github.com/unum-cloud/uform ``` -- [PyPi](https://pypi.org/project/uform) (π₯ 2K / month Β· β±οΈ 29.12.2023): +- [PyPi](https://pypi.org/project/uform) (π₯ 1.6K / month Β· β±οΈ 29.12.2023): ``` pip install uform ``` </details> -<details><summary><b><a href="https://github.com/bytedance/lightseq">lightseq</a></b> (π₯20 Β· β 3K Β· π€) - LightSeq: A High Performance Library for Sequence Processing and.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> +<details><summary><b><a href="https://github.com/IndicoDataSolutions/finetune">finetune</a></b> (π₯21 Β· β 700) - Scikit-learn style model finetuning for NLP. <code><a href="http://bit.ly/3postzC">MPL-2.0</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/bytedance/lightseq) (π¨βπ» 17 Β· π 320 Β· π₯ 670 Β· π 280 - 61% open Β· β±οΈ 10.05.2023): +- [GitHub](https://github.com/IndicoDataSolutions/finetune) (π¨βπ» 23 Β· π 79 Β· π¦ 11 Β· π 140 - 15% open Β· β±οΈ 08.01.2024): ``` - git clone https://github.com/bytedance/lightseq + git clone https://github.com/IndicoDataSolutions/finetune ``` -- [PyPi](https://pypi.org/project/lightseq) (π₯ 1.4K / month Β· π¦ 2 Β· β±οΈ 03.11.2022): +- [PyPi](https://pypi.org/project/finetune) (π₯ 110 / month Β· π¦ 2 Β· β±οΈ 29.09.2023): ``` - pip install lightseq + pip install finetune ``` </details> -<details><summary><b><a href="https://github.com/IndicoDataSolutions/finetune">finetune</a></b> (π₯20 Β· β 700) - Scikit-learn style model finetuning for NLP. <code><a href="http://bit.ly/3postzC">MPL-2.0</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code></summary> +<details><summary><b><a href="https://github.com/bytedance/lightseq">lightseq</a></b> (π₯20 Β· β 3K Β· π€) - LightSeq: A High Performance Library for Sequence Processing and.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> -- [GitHub](https://github.com/IndicoDataSolutions/finetune) (π¨βπ» 23 Β· π 79 Β· π¦ 11 Β· π 140 - 15% open Β· β±οΈ 08.01.2024): +- [GitHub](https://github.com/bytedance/lightseq) (π¨βπ» 17 Β· π 320 Β· π₯ 670 Β· π 280 - 61% open Β· β±οΈ 10.05.2023): ``` - git clone https://github.com/IndicoDataSolutions/finetune + git clone https://github.com/bytedance/lightseq ``` -- [PyPi](https://pypi.org/project/finetune) (π₯ 58 / month): +- [PyPi](https://pypi.org/project/lightseq) (π₯ 1.3K / month Β· π¦ 2 Β· β±οΈ 03.11.2022): ``` - pip install finetune + pip install lightseq ``` </details> <details><summary><b><a href="https://github.com/dsfsi/textaugment">textaugment</a></b> (π₯20 Β· β 360) - TextAugment: Text Augmentation Library. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> -- [GitHub](https://github.com/dsfsi/textaugment) (π¨βπ» 8 Β· π 57 Β· π₯ 64 Β· π¦ 72 Β· π 29 - 37% open Β· β±οΈ 17.11.2023): +- [GitHub](https://github.com/dsfsi/textaugment) (π¨βπ» 8 Β· π 58 Β· π₯ 64 Β· π¦ 73 Β· π 29 - 37% open Β· β±οΈ 17.11.2023): ``` git clone https://github.com/dsfsi/textaugment ``` -- [PyPi](https://pypi.org/project/textaugment) (π₯ 3.7K / month Β· π¦ 4 Β· β±οΈ 16.11.2023): +- [PyPi](https://pypi.org/project/textaugment) (π₯ 4K / month Β· π¦ 4 Β· β±οΈ 16.11.2023): ``` pip install textaugment ``` @@ -2169,45 +2233,43 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we pip install textbox ``` </details> -<details><summary><b><a href="https://github.com/facebookresearch/vizseq">VizSeq</a></b> (π₯12 Β· β 440) - An Analysis Toolkit for Natural Language Generation (Translation,.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> +<details><summary><b><a href="https://github.com/facebookresearch/vizseq">VizSeq</a></b> (π₯14 Β· β 440) - An Analysis Toolkit for Natural Language Generation (Translation,.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> -- [GitHub](https://github.com/facebookresearch/vizseq) (π¨βπ» 3 Β· π 58 Β· π¦ 9 Β· π 15 - 40% open Β· β±οΈ 19.01.2024): +- [GitHub](https://github.com/facebookresearch/vizseq) (π¨βπ» 3 Β· π 58 Β· π¦ 9 Β· π 16 - 43% open Β· β±οΈ 19.01.2024): ``` git clone https://github.com/facebookresearch/vizseq ``` -- [PyPi](https://pypi.org/project/vizseq) (π₯ 130 / month): +- [PyPi](https://pypi.org/project/vizseq) (π₯ 130 / month Β· β±οΈ 07.08.2020): ``` pip install vizseq ``` </details> -<details><summary>Show 49 hidden projects...</summary> +<details><summary>Show 46 hidden projects...</summary> -- <b><a href="https://github.com/flairNLP/flair">flair</a></b> (π₯36 Β· β 13K) - A very simple framework for state-of-the-art Natural Language.. <code>βUnlicensed</code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code> -- <b><a href="https://github.com/gunthercox/ChatterBot">ChatterBot</a></b> (π₯35 Β· β 14K Β· π) - ChatterBot is a machine learning, conversational dialog engine.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> - <b><a href="https://github.com/allenai/allennlp">AllenNLP</a></b> (π₯35 Β· β 12K Β· π) - An open-source NLP research library, built on PyTorch. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code> -- <b><a href="https://github.com/seatgeek/fuzzywuzzy">fuzzywuzzy</a></b> (π₯33 Β· β 9K Β· π) - Fuzzy String Matching in Python. <code><a href="http://bit.ly/2KucAZR">βοΈGPL-2.0</a></code> -- <b><a href="https://github.com/stanfordnlp/stanza">stanza</a></b> (π₯32 Β· β 6.9K) - Stanford NLP Python library for tokenization, sentence.. <code>βUnlicensed</code> +- <b><a href="https://github.com/gunthercox/ChatterBot">ChatterBot</a></b> (π₯34 Β· β 14K Β· π) - ChatterBot is a machine learning, conversational dialog engine.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> +- <b><a href="https://github.com/seatgeek/fuzzywuzzy">fuzzywuzzy</a></b> (π₯33 Β· β 9.1K Β· π) - Fuzzy String Matching in Python. <code><a href="http://bit.ly/2KucAZR">βοΈGPL-2.0</a></code> - <b><a href="https://github.com/makcedward/nlpaug">nlpaug</a></b> (π₯29 Β· β 4.2K Β· π) - Data augmentation for NLP. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> - <b><a href="https://github.com/dwyl/english-words">english-words</a></b> (π₯28 Β· β 9.8K Β· π) - A text file containing 479k English words for all your.. <code><a href="http://bit.ly/3rvuUlR">Unlicense</a></code> -- <b><a href="https://github.com/rspeer/python-ftfy">ftfy</a></b> (π₯28 Β· β 3.6K Β· π) - Fixes mojibake and other glitches in Unicode text, after the fact. <code>βUnlicensed</code> +- <b><a href="https://github.com/saffsd/langid.py">langid</a></b> (π₯28 Β· β 2.2K Β· π) - Stand-alone language identification system. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> - <b><a href="https://github.com/cjhutto/vaderSentiment">vaderSentiment</a></b> (π₯27 Β· β 4.2K Β· π) - VADER Sentiment Analysis. VADER (Valence Aware Dictionary.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> - <b><a href="https://github.com/fastnlp/fastNLP">fastNLP</a></b> (π₯27 Β· β 3K Β· π) - fastNLP: A Modularized and Extensible NLP Framework. Currently.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> - <b><a href="https://github.com/chartbeat-labs/textacy">textacy</a></b> (π₯27 Β· β 2.2K Β· π€) - NLP, before and after spaCy. <code>βUnlicensed</code> - <b><a href="https://github.com/undertheseanlp/underthesea">underthesea</a></b> (π₯27 Β· β 1.3K) - Underthesea - Vietnamese NLP Toolkit. <code><a href="http://bit.ly/2M0xdwT">βοΈGPL-3.0</a></code> -- <b><a href="https://github.com/dmlc/gluon-nlp">GluonNLP</a></b> (π₯26 Β· β 2.6K Β· π) - Toolkit that enables easy text preprocessing, datasets.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1X" style="display:inline;" width="13" height="13"></code> -- <b><a href="https://github.com/vi3k6i5/flashtext">flashtext</a></b> (π₯25 Β· β 5.5K Β· π) - Extract Keywords from sentence or Replace keywords in sentences. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> -- <b><a href="https://github.com/snipsco/snips-nlu">Snips NLU</a></b> (π₯25 Β· β 3.8K Β· π) - Snips Python library to extract meaning from text. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> +- <b><a href="https://github.com/vi3k6i5/flashtext">flashtext</a></b> (π₯26 Β· β 5.5K Β· π) - Extract Keywords from sentence or Replace keywords in sentences. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> +- <b><a href="https://github.com/aboSamoor/polyglot">polyglot</a></b> (π₯26 Β· β 2.2K Β· π) - Multilingual text (NLP) processing toolkit. <code><a href="http://bit.ly/2M0xdwT">βοΈGPL-3.0</a></code> - <b><a href="https://github.com/huggingface/neuralcoref">neuralcoref</a></b> (π₯25 Β· β 2.8K Β· π) - Fast Coreference Resolution in spaCy with Neural Networks. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> - <b><a href="https://github.com/mchaput/whoosh">whoosh</a></b> (π₯25 Β· β 500 Β· π) - Pure-Python full-text search library. <code><a href="https://tldrlegal.com/search?q=BSD-1-Clause">βοΈBSD-1-Clause</a></code> - <b><a href="https://github.com/facebookresearch/pytext">PyText</a></b> (π₯24 Β· β 6.4K Β· π) - A natural language modeling framework based on PyTorch. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code> - <b><a href="https://github.com/minimaxir/textgenrnn">textgenrnn</a></b> (π₯24 Β· β 4.9K Β· π) - Easily train your own text-generating neural network of any.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code> -- <b><a href="https://github.com/aboSamoor/polyglot">polyglot</a></b> (π₯24 Β· β 2.2K Β· π) - Multilingual text (NLP) processing toolkit. <code>βUnlicensed</code> -- <b><a href="https://github.com/saffsd/langid.py">langid</a></b> (π₯24 Β· β 2.2K Β· π) - Stand-alone language identification system. <code>βUnlicensed</code> +- <b><a href="https://github.com/dmlc/gluon-nlp">GluonNLP</a></b> (π₯24 Β· β 2.6K Β· π) - Toolkit that enables easy text preprocessing, datasets.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1X" style="display:inline;" width="13" height="13"></code> - <b><a href="https://github.com/nipunsadvilkar/pySBD">pySBD</a></b> (π₯24 Β· β 700 Β· π) - pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> +- <b><a href="https://github.com/snipsco/snips-nlu">Snips NLU</a></b> (π₯23 Β· β 3.9K Β· π) - Snips Python library to extract meaning from text. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> - <b><a href="https://github.com/NTMC-Community/MatchZoo">MatchZoo</a></b> (π₯23 Β· β 3.8K Β· π) - Facilitating the design, comparison and sharing of deep.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code> - <b><a href="https://github.com/BrikerMan/Kashgari">Kashgari</a></b> (π₯23 Β· β 2.4K Β· π) - Kashgari is a production-level NLP Transfer learning.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code> - <b><a href="https://github.com/deepset-ai/FARM">FARM</a></b> (π₯23 Β· β 1.7K Β· π) - Fast & easy transfer learning for NLP. Harvesting language.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code> +- <b><a href="https://github.com/anhaidgroup/deepmatcher">DeepMatcher</a></b> (π₯22 Β· β 4.9K Β· π) - Python package for performing Entity and Text Matching using.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> - <b><a href="https://github.com/minimaxir/gpt-2-simple">gpt-2-simple</a></b> (π₯22 Β· β 3.4K Β· π) - Python package to easily retrain OpenAIs GPT-2 text-.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code> - <b><a href="https://github.com/asyml/texar">Texar</a></b> (π₯22 Β· β 2.4K Β· π) - Toolkit for Machine Learning, Natural Language Processing, and.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code> - <b><a href="https://github.com/nyu-mll/jiant">jiant</a></b> (π₯22 Β· β 1.6K Β· π) - jiant is an nlp toolkit. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> @@ -2220,18 +2282,17 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we - <b><a href="https://github.com/Ki6an/fastT5">fastT5</a></b> (π₯19 Β· β 520 Β· π) - boost inference speed of T5 models by 5x & reduce the model size.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> - <b><a href="https://github.com/PKSHATechnology-Research/camphr">Camphr</a></b> (π₯18 Β· β 340 Β· π) - Camphr - NLP libary for creating pipeline components. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code>spacy</code> - <b><a href="https://github.com/koursaros-ai/nboost">nboost</a></b> (π₯17 Β· β 670 Β· π) - NBoost is a scalable, search-api-boosting platform for deploying.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> -- <b><a href="https://github.com/anhaidgroup/deepmatcher">DeepMatcher</a></b> (π₯17 Β· β 520 Β· π) - Python package for performing Entity and Text Matching using.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> - <b><a href="https://github.com/Franck-Dernoncourt/NeuroNER">NeuroNER</a></b> (π₯16 Β· β 1.7K Β· π) - Named-entity recognition using neural networks. Easy-to-use and.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> - <b><a href="https://github.com/textpipe/textpipe">textpipe</a></b> (π₯16 Β· β 300 Β· π) - Textpipe: clean and extract metadata from text. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> -- <b><a href="https://github.com/shaypal5/skift">skift</a></b> (π₯16 Β· β 230 Β· π) - scikit-learn wrappers for Python fastText. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code> +- <b><a href="https://github.com/shaypal5/skift">skift</a></b> (π₯16 Β· β 240 Β· π) - scikit-learn wrappers for Python fastText. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code> - <b><a href="https://github.com/facebookresearch/BLINK">BLINK</a></b> (π₯15 Β· β 1.1K Β· π) - Entity Linker solution. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> - <b><a href="https://github.com/pytorch/translate">Translate</a></b> (π₯15 Β· β 810 Β· π) - Translate - a PyTorch Language Library. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code> - <b><a href="https://github.com/victordibia/neuralqa">NeuralQA</a></b> (π₯14 Β· β 230 Β· π) - NeuralQA: A Usable Library for Question Answering on Large Datasets.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> - <b><a href="https://github.com/feedly/transfer-nlp">TransferNLP</a></b> (π₯13 Β· β 290 Β· π) - NLP library designed for reproducible experimentation.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code> - <b><a href="https://github.com/abelriboulot/onnxt5">ONNX-T5</a></b> (π₯13 Β· β 240 Β· π) - Summarization, translation, sentiment-analysis, text-generation.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> -- <b><a href="https://github.com/textvec/textvec">textvec</a></b> (π₯13 Β· β 190) - Text vectorization tool to outperform TFIDF for classification tasks. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code> +- <b><a href="https://github.com/textvec/textvec">textvec</a></b> (π₯12 Β· β 190) - Text vectorization tool to outperform TFIDF for classification tasks. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code> - <b><a href="https://github.com/MartinoMensio/spacy-dbpedia-spotlight">spacy-dbpedia-spotlight</a></b> (π₯12 Β· β 97 Β· π€) - A spaCy wrapper for DBpedia Spotlight. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code>spacy</code> -- <b><a href="https://github.com/as-ideas/headliner">Headliner</a></b> (π₯11 Β· β 230 Β· π) - Easy training and deployment of seq2seq models. <code>βUnlicensed</code> +- <b><a href="https://github.com/as-ideas/headliner">Headliner</a></b> (π₯10 Β· β 230 Β· π) - Easy training and deployment of seq2seq models. <code>βUnlicensed</code> </details> <br> @@ -2243,12 +2304,12 @@ _Libraries for image & video processing, manipulation, and augmentation as well <details><summary><b><a href="https://github.com/python-pillow/Pillow">Pillow</a></b> (π₯47 Β· β 11K) - Python Imaging Library (Fork). <code><a href="https://tldrlegal.com/search?q=PIL">βοΈPIL</a></code></summary> -- [GitHub](https://github.com/python-pillow/Pillow) (π¨βπ» 460 Β· π 2K Β· π¦ 1.5M Β· π 3K - 2% open Β· β±οΈ 24.01.2024): +- [GitHub](https://github.com/python-pillow/Pillow) (π¨βπ» 460 Β· π 2K Β· π¦ 1.5M Β· π 3K - 2% open Β· β±οΈ 31.01.2024): ``` git clone https://github.com/python-pillow/Pillow ``` -- [PyPi](https://pypi.org/project/Pillow) (π₯ 74M / month): +- [PyPi](https://pypi.org/project/Pillow) (π₯ 81M / month): ``` pip install Pillow ``` @@ -2259,12 +2320,12 @@ _Libraries for image & video processing, manipulation, and augmentation as well </details> <details><summary><b><a href="https://github.com/pytorch/vision">torchvision</a></b> (π₯42 Β· β 15K) - Datasets, Transforms and Models specific to Computer Vision. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/pytorch/vision) (π¨βπ» 570 Β· π 6.9K Β· π₯ 37K Β· π¦ 21 Β· π 3.3K - 29% open Β· β±οΈ 22.01.2024): +- [GitHub](https://github.com/pytorch/vision) (π¨βπ» 570 Β· π 6.9K Β· π₯ 37K Β· π¦ 21 Β· π 3.3K - 29% open Β· β±οΈ 31.01.2024): ``` git clone https://github.com/pytorch/vision ``` -- [PyPi](https://pypi.org/project/torchvision) (π₯ 11M / month Β· π¦ 5K Β· β±οΈ 14.12.2023): +- [PyPi](https://pypi.org/project/torchvision) (π₯ 11M / month Β· π¦ 5K Β· β±οΈ 30.01.2024): ``` pip install torchvision ``` @@ -2275,12 +2336,12 @@ _Libraries for image & video processing, manipulation, and augmentation as well </details> <details><summary><b><a href="https://github.com/huggingface/pytorch-image-models">PyTorch Image Models</a></b> (π₯41 Β· β 29K) - PyTorch image models, scripts, pretrained weights --.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/huggingface/pytorch-image-models) (π¨βπ» 130 Β· π 4.5K Β· π₯ 6.1M Β· π¦ 22K Β· π 840 - 8% open Β· β±οΈ 25.01.2024): +- [GitHub](https://github.com/huggingface/pytorch-image-models) (π¨βπ» 130 Β· π 4.5K Β· π₯ 6.1M Β· π¦ 22K Β· π 840 - 8% open Β· β±οΈ 27.01.2024): ``` git clone https://github.com/rwightman/pytorch-image-models ``` -- [PyPi](https://pypi.org/project/timm) (π₯ 3.9M / month Β· π¦ 380 Β· β±οΈ 24.11.2023): +- [PyPi](https://pypi.org/project/timm) (π₯ 4.2M / month Β· π¦ 380 Β· β±οΈ 24.11.2023): ``` pip install timm ``` @@ -2291,24 +2352,24 @@ _Libraries for image & video processing, manipulation, and augmentation as well </details> <details><summary><b><a href="https://github.com/open-mmlab/mmdetection">MMDetection</a></b> (π₯39 Β· β 27K) - OpenMMLab Detection Toolbox and Benchmark. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/open-mmlab/mmdetection) (π¨βπ» 450 Β· π 8.2K Β· π¦ 2.1K Β· π 7.8K - 15% open Β· β±οΈ 05.01.2024): +- [GitHub](https://github.com/open-mmlab/mmdetection) (π¨βπ» 480 Β· π 9.1K Β· π¦ 2.1K Β· π 8K - 17% open Β· β±οΈ 05.01.2024): ``` git clone https://github.com/open-mmlab/mmdetection ``` -- [PyPi](https://pypi.org/project/mmdet) (π₯ 150K / month): +- [PyPi](https://pypi.org/project/mmdet) (π₯ 160K / month Β· π¦ 34 Β· β±οΈ 05.01.2024): ``` pip install mmdet ``` </details> <details><summary><b><a href="https://github.com/kornia/kornia">Kornia</a></b> (π₯38 Β· β 9.1K) - Geometric Computer Vision Library for SpatialAI. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/kornia/kornia) (π¨βπ» 250 Β· π 890 Β· π₯ 920 Β· π¦ 8.1K Β· π 860 - 28% open Β· β±οΈ 25.01.2024): +- [GitHub](https://github.com/kornia/kornia) (π¨βπ» 250 Β· π 910 Β· π₯ 930 Β· π¦ 8.2K Β· π 890 - 30% open Β· β±οΈ 31.01.2024): ``` git clone https://github.com/kornia/kornia ``` -- [PyPi](https://pypi.org/project/kornia) (π₯ 2.5M / month): +- [PyPi](https://pypi.org/project/kornia) (π₯ 2.6M / month Β· π¦ 130 Β· β±οΈ 27.12.2023): ``` pip install kornia ``` @@ -2317,70 +2378,70 @@ _Libraries for image & video processing, manipulation, and augmentation as well conda install -c conda-forge kornia ``` </details> -<details><summary><b><a href="https://github.com/imageio/imageio">imageio</a></b> (π₯38 Β· β 1.4K) - Python library for reading and writing image data. <code><a href="http://bit.ly/3rqEWVr">BSD-2</a></code></summary> +<details><summary><b><a href="https://github.com/Zulko/moviepy">MoviePy</a></b> (π₯37 Β· β 11K Β· π€) - Video editing with Python. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> -- [GitHub](https://github.com/imageio/imageio) (π¨βπ» 110 Β· π 270 Β· π₯ 960 Β· π¦ 110K Β· π 580 - 15% open Β· β±οΈ 11.12.2023): +- [GitHub](https://github.com/Zulko/moviepy) (π¨βπ» 160 Β· π 1.4K Β· π¦ 34K Β· π 1.4K - 27% open Β· β±οΈ 11.07.2023): ``` - git clone https://github.com/imageio/imageio + git clone https://github.com/Zulko/moviepy ``` -- [PyPi](https://pypi.org/project/imageio) (π₯ 21M / month Β· π¦ 3.1K Β· β±οΈ 11.12.2023): +- [PyPi](https://pypi.org/project/moviepy) (π₯ 730K / month): ``` - pip install imageio + pip install moviepy ``` -- [Conda](https://anaconda.org/conda-forge/imageio) (π₯ 6M Β· β±οΈ 14.12.2023): +- [Conda](https://anaconda.org/conda-forge/moviepy) (π₯ 220K Β· β±οΈ 16.06.2023): ``` - conda install -c conda-forge imageio + conda install -c conda-forge moviepy ``` </details> -<details><summary><b><a href="https://github.com/Zulko/moviepy">MoviePy</a></b> (π₯37 Β· β 11K) - Video editing with Python. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> +<details><summary><b><a href="https://github.com/opencv/opencv-python">opencv-python</a></b> (π₯37 Β· β 4K) - Automated CI toolchain to produce precompiled opencv-python,.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> -- [GitHub](https://github.com/Zulko/moviepy) (π¨βπ» 160 Β· π 1.4K Β· π¦ 33K Β· π 1.4K - 26% open Β· β±οΈ 11.07.2023): +- [GitHub](https://github.com/opencv/opencv-python) (π¨βπ» 48 Β· π 750 Β· π¦ 350K Β· π 730 - 11% open Β· β±οΈ 31.12.2023): ``` - git clone https://github.com/Zulko/moviepy - ``` -- [PyPi](https://pypi.org/project/moviepy) (π₯ 670K / month): - ``` - pip install moviepy + git clone https://github.com/opencv/opencv-python ``` -- [Conda](https://anaconda.org/conda-forge/moviepy) (π₯ 220K Β· β±οΈ 16.06.2023): +- [PyPi](https://pypi.org/project/opencv-python) (π₯ 12M / month): ``` - conda install -c conda-forge moviepy + pip install opencv-python ``` </details> -<details><summary><b><a href="https://github.com/opencv/opencv-python">opencv-python</a></b> (π₯37 Β· β 3.9K) - Automated CI toolchain to produce precompiled opencv-python,.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> +<details><summary><b><a href="https://github.com/imageio/imageio">imageio</a></b> (π₯37 Β· β 1.4K) - Python library for reading and writing image data. <code><a href="http://bit.ly/3rqEWVr">BSD-2</a></code></summary> -- [GitHub](https://github.com/opencv/opencv-python) (π¨βπ» 48 Β· π 810 Β· π¦ 350K Β· π 740 - 12% open Β· β±οΈ 31.12.2023): +- [GitHub](https://github.com/imageio/imageio) (π¨βπ» 110 Β· π 270 Β· π₯ 960 Β· π¦ 110K Β· π 580 - 15% open Β· β±οΈ 11.12.2023): ``` - git clone https://github.com/opencv/opencv-python + git clone https://github.com/imageio/imageio ``` -- [PyPi](https://pypi.org/project/opencv-python) (π₯ 11M / month Β· π¦ 12K Β· β±οΈ 31.12.2023): +- [PyPi](https://pypi.org/project/imageio) (π₯ 23M / month): ``` - pip install opencv-python + pip install imageio + ``` +- [Conda](https://anaconda.org/conda-forge/imageio) (π₯ 6M Β· β±οΈ 14.12.2023): + ``` + conda install -c conda-forge imageio ``` </details> -<details><summary><b><a href="https://github.com/serengil/deepface">deepface</a></b> (π₯36 Β· β 9K) - A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender,.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> +<details><summary><b><a href="https://github.com/serengil/deepface">deepface</a></b> (π₯36 Β· β 9.1K) - A Lightweight Face Recognition and Facial Attribute Analysis (Age,.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> -- [GitHub](https://github.com/serengil/deepface) (π¨βπ» 52 Β· π 1.7K Β· π¦ 2.5K Β· π 850 - 0% open Β· β±οΈ 23.01.2024): +- [GitHub](https://github.com/serengil/deepface) (π¨βπ» 53 Β· π 1.7K Β· π¦ 2.5K Β· π 870 - 0% open Β· β±οΈ 31.01.2024): ``` git clone https://github.com/serengil/deepface ``` -- [PyPi](https://pypi.org/project/deepface) (π₯ 150K / month Β· π¦ 21 Β· β±οΈ 23.01.2024): +- [PyPi](https://pypi.org/project/deepface) (π₯ 170K / month): ``` pip install deepface ``` </details> <details><summary><b><a href="https://github.com/emcconville/wand">Wand</a></b> (π₯36 Β· β 1.3K) - The ctypes-based simple ImageMagick binding for Python. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> -- [GitHub](https://github.com/emcconville/wand) (π¨βπ» 100 Β· π 200 Β· π₯ 39K Β· π¦ 18K Β· π 410 - 5% open Β· β±οΈ 16.01.2024): +- [GitHub](https://github.com/emcconville/wand) (π¨βπ» 100 Β· π 200 Β· π₯ 40K Β· π¦ 18K Β· π 410 - 5% open Β· β±οΈ 16.01.2024): ``` git clone https://github.com/emcconville/wand ``` -- [PyPi](https://pypi.org/project/wand) (π₯ 870K / month Β· π¦ 720 Β· β±οΈ 03.11.2023): +- [PyPi](https://pypi.org/project/wand) (π₯ 930K / month Β· π¦ 720 Β· β±οΈ 03.11.2023): ``` pip install wand ``` @@ -2389,6 +2450,18 @@ _Libraries for image & video processing, manipulation, and augmentation as well conda install -c conda-forge wand ``` </details> +<details><summary><b><a href="https://github.com/deepinsight/insightface">InsightFace</a></b> (π₯35 Β· β 20K) - State-of-the-art 2D and 3D Face Analysis Project. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1X" style="display:inline;" width="13" height="13"></code></summary> + +- [GitHub](https://github.com/deepinsight/insightface) (π¨βπ» 58 Β· π 5K Β· π₯ 1.7M Β· π¦ 1.6K Β· π 2.4K - 43% open Β· β±οΈ 24.12.2023): + + ``` + git clone https://github.com/deepinsight/insightface + ``` +- [PyPi](https://pypi.org/project/insightface) (π₯ 550K / month Β· π¦ 11 Β· β±οΈ 17.12.2022): + ``` + pip install insightface + ``` +</details> <details><summary><b><a href="https://github.com/albumentations-team/albumentations">Albumentations</a></b> (π₯35 Β· β 13K) - Fast image augmentation library and an easy-to-use wrapper.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> - [GitHub](https://github.com/albumentations-team/albumentations) (π¨βπ» 130 Β· π 1.5K Β· π¦ 20K Β· π 810 - 45% open Β· β±οΈ 07.12.2023): @@ -2396,7 +2469,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/albumentations-team/albumentations ``` -- [PyPi](https://pypi.org/project/albumentations) (π₯ 1M / month): +- [PyPi](https://pypi.org/project/albumentations) (π₯ 1.1M / month Β· π¦ 340 Β· β±οΈ 10.06.2023): ``` pip install albumentations ``` @@ -2407,12 +2480,12 @@ _Libraries for image & video processing, manipulation, and augmentation as well </details> <details><summary><b><a href="https://github.com/facebookresearch/detectron2">detectron2</a></b> (π₯33 Β· β 28K) - Detectron2 is a platform for object detection, segmentation.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/facebookresearch/detectron2) (π¨βπ» 260 Β· π 6.8K Β· π¦ 1.6K Β· π 3.4K - 11% open Β· β±οΈ 09.01.2024): +- [GitHub](https://github.com/facebookresearch/detectron2) (π¨βπ» 260 Β· π 7.3K Β· π¦ 1.6K Β· π 3.5K - 13% open Β· β±οΈ 31.01.2024): ``` git clone https://github.com/facebookresearch/detectron2 ``` -- [PyPi](https://pypi.org/project/detectron2): +- [PyPi](https://pypi.org/project/detectron2) (π¦ 6 Β· β±οΈ 06.02.2020): ``` pip install detectron2 ``` @@ -2423,12 +2496,12 @@ _Libraries for image & video processing, manipulation, and augmentation as well </details> <details><summary><b><a href="https://github.com/PaddlePaddle/PaddleSeg">PaddleSeg</a></b> (π₯32 Β· β 8K) - Easy-to-use image segmentation library with awesome pre-.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1M" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/PaddlePaddle/PaddleSeg) (π¨βπ» 120 Β· π 1.6K Β· π¦ 1.1K Β· π 2K - 18% open Β· β±οΈ 28.12.2023): +- [GitHub](https://github.com/PaddlePaddle/PaddleSeg) (π¨βπ» 120 Β· π 1.6K Β· π¦ 1.1K Β· π 2K - 19% open Β· β±οΈ 28.12.2023): ``` git clone https://github.com/PaddlePaddle/PaddleSeg ``` -- [PyPi](https://pypi.org/project/paddleseg) (π₯ 1.6K / month Β· π¦ 4 Β· β±οΈ 30.11.2022): +- [PyPi](https://pypi.org/project/paddleseg) (π₯ 1.6K / month): ``` pip install paddleseg ``` @@ -2440,7 +2513,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/JohannesBuchner/imagehash ``` -- [PyPi](https://pypi.org/project/ImageHash) (π₯ 1M / month Β· π¦ 380 Β· β±οΈ 28.09.2022): +- [PyPi](https://pypi.org/project/ImageHash) (π₯ 1.1M / month Β· π¦ 380 Β· β±οΈ 28.09.2022): ``` pip install ImageHash ``` @@ -2451,36 +2524,36 @@ _Libraries for image & video processing, manipulation, and augmentation as well </details> <details><summary><b><a href="https://github.com/lightly-ai/lightly">lightly</a></b> (π₯31 Β· β 2.7K) - A python library for self-supervised learning on images. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/lightly-ai/lightly) (π¨βπ» 36 Β· π 230 Β· π¦ 200 Β· π 500 - 19% open Β· β±οΈ 24.01.2024): +- [GitHub](https://github.com/lightly-ai/lightly) (π¨βπ» 36 Β· π 230 Β· π¦ 210 Β· π 500 - 19% open Β· β±οΈ 01.02.2024): ``` git clone https://github.com/lightly-ai/lightly ``` -- [PyPi](https://pypi.org/project/lightly) (π₯ 20K / month Β· π¦ 7 Β· β±οΈ 24.01.2024): +- [PyPi](https://pypi.org/project/lightly) (π₯ 21K / month Β· π¦ 7 Β· β±οΈ 24.01.2024): ``` pip install lightly ``` </details> -<details><summary><b><a href="https://github.com/mindee/doctr">doctr</a></b> (π₯31 Β· β 2.6K) - docTR (Document Text Recognition) - a seamless, high-.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> +<details><summary><b><a href="https://github.com/mindee/doctr">doctr</a></b> (π₯31 Β· β 2.7K) - docTR (Document Text Recognition) - a seamless, high-.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/mindee/doctr) (π¨βπ» 42 Β· π 310 Β· π₯ 2.3M Β· π¦ 230 Β· π 290 - 13% open Β· β±οΈ 22.01.2024): +- [GitHub](https://github.com/mindee/doctr) (π¨βπ» 42 Β· π 310 Β· π₯ 2.3M Β· π¦ 240 Β· π 300 - 13% open Β· β±οΈ 26.01.2024): ``` git clone https://github.com/mindee/doctr ``` -- [PyPi](https://pypi.org/project/python-doctr) (π₯ 14K / month Β· π¦ 3 Β· β±οΈ 09.09.2023): +- [PyPi](https://pypi.org/project/python-doctr) (π₯ 16K / month Β· π¦ 3 Β· β±οΈ 09.09.2023): ``` pip install python-doctr ``` </details> <details><summary><b><a href="https://github.com/obss/sahi">sahi</a></b> (π₯30 Β· β 3.4K) - Framework agnostic sliced/tiled inference + interactive ui + error analysis.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> -- [GitHub](https://github.com/obss/sahi) (π¨βπ» 37 Β· π 490 Β· π₯ 21K Β· π¦ 860 Β· β±οΈ 10.01.2024): +- [GitHub](https://github.com/obss/sahi) (π¨βπ» 37 Β· π 490 Β· π₯ 21K Β· π¦ 890 Β· β±οΈ 10.01.2024): ``` git clone https://github.com/obss/sahi ``` -- [PyPi](https://pypi.org/project/sahi) (π₯ 120K / month Β· π¦ 12 Β· β±οΈ 05.11.2023): +- [PyPi](https://pypi.org/project/sahi) (π₯ 130K / month Β· π¦ 12 Β· β±οΈ 05.11.2023): ``` pip install sahi ``` @@ -2491,7 +2564,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well </details> <details><summary><b><a href="https://github.com/OlafenwaMoses/ImageAI">imageai</a></b> (π₯29 Β· β 8.3K) - A python library built to empower developers to build applications and.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> -- [GitHub](https://github.com/OlafenwaMoses/ImageAI) (π¨βπ» 19 Β· π 2.1K Β· π₯ 900K Β· π¦ 1.5K Β· π 740 - 39% open Β· β±οΈ 26.08.2023): +- [GitHub](https://github.com/OlafenwaMoses/ImageAI) (π¨βπ» 19 Β· π 2.1K Β· π₯ 910K Β· π¦ 1.5K Β· π 730 - 39% open Β· β±οΈ 26.08.2023): ``` git clone https://github.com/OlafenwaMoses/ImageAI @@ -2505,150 +2578,122 @@ _Libraries for image & video processing, manipulation, and augmentation as well conda install -c conda-forge imageai ``` </details> -<details><summary><b><a href="https://github.com/1adrianb/face-alignment">Face Alignment</a></b> (π₯29 Β· β 6.7K) - 2D and 3D Face alignment library build using pytorch. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> - -- [GitHub](https://github.com/1adrianb/face-alignment) (π¨βπ» 26 Β· π 1.3K Β· π¦ 21 Β· π 310 - 22% open Β· β±οΈ 16.08.2023): - - ``` - git clone https://github.com/1adrianb/face-alignment - ``` -- [PyPi](https://pypi.org/project/face-alignment) (π₯ 60K / month): - ``` - pip install face-alignment - ``` -</details> -<details><summary><b><a href="https://github.com/lucidrains/vit-pytorch">vit-pytorch</a></b> (π₯28 Β· β 17K) - Implementation of Vision Transformer, a simple way to achieve.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> +<details><summary><b><a href="https://github.com/lucidrains/vit-pytorch">vit-pytorch</a></b> (π₯28 Β· β 17K) - Implementation of Vision Transformer, a simple way to achieve.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/lucidrains/vit-pytorch) (π¨βπ» 20 Β· π 2.6K Β· π¦ 390 Β· π 240 - 46% open Β· β±οΈ 23.12.2023): +- [GitHub](https://github.com/lucidrains/vit-pytorch) (π¨βπ» 20 Β· π 2.6K Β· π¦ 400 Β· π 240 - 46% open Β· β±οΈ 23.12.2023): ``` git clone https://github.com/lucidrains/vit-pytorch ``` -- [PyPi](https://pypi.org/project/vit-pytorch) (π₯ 25K / month Β· π¦ 6 Β· β±οΈ 23.12.2023): +- [PyPi](https://pypi.org/project/vit-pytorch) (π₯ 28K / month Β· π¦ 6 Β· β±οΈ 23.12.2023): ``` pip install vit-pytorch ``` </details> -<details><summary><b><a href="https://github.com/PaddlePaddle/PaddleDetection">PaddleDetection</a></b> (π₯28 Β· β 12K) - Object Detection toolkit based on PaddlePaddle. It.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1M" style="display:inline;" width="13" height="13"></code></summary> +<details><summary><b><a href="https://github.com/PaddlePaddle/PaddleDetection">PaddleDetection</a></b> (π₯28 Β· β 12K) - Object Detection toolkit based on PaddlePaddle. It.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1M" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/PaddlePaddle/PaddleDetection) (π¨βπ» 160 Β· π 2.7K Β· π 5.2K - 25% open Β· β±οΈ 28.12.2023): +- [GitHub](https://github.com/PaddlePaddle/PaddleDetection) (π¨βπ» 160 Β· π 2.8K Β· π 5.3K - 26% open Β· β±οΈ 28.12.2023): ``` git clone https://github.com/PaddlePaddle/PaddleDetection ``` -- [PyPi](https://pypi.org/project/paddledet) (π₯ 580 / month): +- [PyPi](https://pypi.org/project/paddledet) (π₯ 610 / month Β· π¦ 1 Β· β±οΈ 19.09.2022): ``` pip install paddledet ``` </details> -<details><summary><b><a href="https://github.com/abhiTronix/vidgear">vidgear</a></b> (π₯28 Β· β 3.1K) - A High-performance cross-platform Video Processing Python framework.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> +<details><summary><b><a href="https://github.com/1adrianb/face-alignment">Face Alignment</a></b> (π₯28 Β· β 6.7K) - 2D and 3D Face alignment library build using pytorch. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/abhiTronix/vidgear) (π¨βπ» 14 Β· π 230 Β· π₯ 970 Β· π¦ 500 Β· π 270 - 2% open Β· β±οΈ 10.09.2023): +- [GitHub](https://github.com/1adrianb/face-alignment) (π¨βπ» 26 Β· π 1.3K Β· π¦ 21 Β· π 320 - 25% open Β· β±οΈ 16.08.2023): ``` - git clone https://github.com/abhiTronix/vidgear - ``` -- [PyPi](https://pypi.org/project/vidgear) (π₯ 59K / month Β· π¦ 9 Β· β±οΈ 10.09.2023): - ``` - pip install vidgear - ``` -</details> -<details><summary><b><a href="https://github.com/CellProfiler/CellProfiler">CellProfiler</a></b> (π₯28 Β· β 830) - An open-source application for biological image analysis. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary> - -- [GitHub](https://github.com/CellProfiler/CellProfiler) (π¨βπ» 140 Β· π 360 Β· π₯ 6.5K Β· π¦ 20 Β· π 3.2K - 8% open Β· β±οΈ 23.01.2024): - - ``` - git clone https://github.com/CellProfiler/CellProfiler + git clone https://github.com/1adrianb/face-alignment ``` -- [PyPi](https://pypi.org/project/cellprofiler) (π₯ 600 / month Β· π¦ 1 Β· β±οΈ 14.08.2023): +- [PyPi](https://pypi.org/project/face-alignment) (π₯ 64K / month Β· π¦ 12 Β· β±οΈ 17.08.2023): ``` - pip install cellprofiler + pip install face-alignment ``` </details> -<details><summary><b><a href="https://github.com/luispedro/mahotas">mahotas</a></b> (π₯28 Β· β 820) - Computer Vision in Python. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> +<details><summary><b><a href="https://github.com/abhiTronix/vidgear">vidgear</a></b> (π₯28 Β· β 3.1K) - A High-performance cross-platform Video Processing Python framework.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> -- [GitHub](https://github.com/luispedro/mahotas) (π¨βπ» 34 Β· π 150 Β· π¦ 1.2K Β· π 87 - 25% open Β· β±οΈ 08.01.2024): +- [GitHub](https://github.com/abhiTronix/vidgear) (π¨βπ» 14 Β· π 230 Β· π₯ 970 Β· π¦ 500 Β· π 270 - 2% open Β· β±οΈ 10.09.2023): ``` - git clone https://github.com/luispedro/mahotas - ``` -- [PyPi](https://pypi.org/project/mahotas) (π₯ 8.4K / month Β· π¦ 130 Β· β±οΈ 28.06.2022): - ``` - pip install mahotas + git clone https://github.com/abhiTronix/vidgear ``` -- [Conda](https://anaconda.org/conda-forge/mahotas) (π₯ 390K Β· β±οΈ 26.07.2023): +- [PyPi](https://pypi.org/project/vidgear) (π₯ 76K / month): ``` - conda install -c conda-forge mahotas + pip install vidgear ``` </details> -<details><summary><b><a href="https://github.com/dmlc/gluon-cv">GluonCV</a></b> (π₯27 Β· β 5.7K Β· π€) - Gluon CV Toolkit. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1X" style="display:inline;" width="13" height="13"></code></summary> +<details><summary><b><a href="https://github.com/timesler/facenet-pytorch">facenet-pytorch</a></b> (π₯27 Β· β 4K) - Pretrained Pytorch face detection (MTCNN) and facial.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/dmlc/gluon-cv) (π¨βπ» 120 Β· π 1.2K Β· π¦ 21 Β· π 830 - 5% open Β· β±οΈ 19.01.2023): +- [GitHub](https://github.com/timesler/facenet-pytorch) (π¨βπ» 16 Β· π 810 Β· π₯ 770K Β· π¦ 1.5K Β· π 170 - 36% open Β· β±οΈ 02.11.2023): ``` - git clone https://github.com/dmlc/gluon-cv + git clone https://github.com/timesler/facenet-pytorch ``` -- [PyPi](https://pypi.org/project/gluoncv) (π₯ 40K / month): +- [PyPi](https://pypi.org/project/facenet-pytorch) (π₯ 48K / month): ``` - pip install gluoncv + pip install facenet-pytorch ``` </details> -<details><summary><b><a href="https://github.com/timesler/facenet-pytorch">facenet-pytorch</a></b> (π₯26 Β· β 4K) - Pretrained Pytorch face detection (MTCNN) and facial.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> +<details><summary><b><a href="https://github.com/CellProfiler/CellProfiler">CellProfiler</a></b> (π₯27 Β· β 840) - An open-source application for biological image analysis. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary> -- [GitHub](https://github.com/timesler/facenet-pytorch) (π¨βπ» 16 Β· π 810 Β· π₯ 760K Β· π¦ 1.5K Β· π 170 - 36% open Β· β±οΈ 02.11.2023): +- [GitHub](https://github.com/CellProfiler/CellProfiler) (π¨βπ» 140 Β· π 360 Β· π₯ 6.5K Β· π¦ 20 Β· π 3.2K - 8% open Β· β±οΈ 23.01.2024): ``` - git clone https://github.com/timesler/facenet-pytorch + git clone https://github.com/CellProfiler/CellProfiler ``` -- [PyPi](https://pypi.org/project/facenet-pytorch) (π₯ 41K / month Β· π¦ 19 Β· β±οΈ 10.03.2021): +- [PyPi](https://pypi.org/project/cellprofiler) (π₯ 750 / month Β· π¦ 1 Β· β±οΈ 14.08.2023): ``` - pip install facenet-pytorch + pip install cellprofiler ``` </details> -<details><summary><b><a href="https://github.com/mdbloice/Augmentor">Augmentor</a></b> (π₯25 Β· β 5K Β· π€) - Image augmentation library in Python for machine learning. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> +<details><summary><b><a href="https://github.com/tryolabs/norfair">Norfair</a></b> (π₯26 Β· β 2.2K) - Lightweight Python library for adding real-time multi-object tracking.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary> -- [GitHub](https://github.com/mdbloice/Augmentor) (π¨βπ» 23 Β· π 870 Β· π¦ 700 Β· π 210 - 64% open Β· β±οΈ 29.03.2023): +- [GitHub](https://github.com/tryolabs/norfair) (π¨βπ» 31 Β· π 230 Β· π₯ 300 Β· π¦ 160 Β· π 140 - 4% open Β· β±οΈ 30.01.2024): ``` - git clone https://github.com/mdbloice/Augmentor + git clone https://github.com/tryolabs/norfair ``` -- [PyPi](https://pypi.org/project/Augmentor) (π₯ 6.1K / month Β· π¦ 29 Β· β±οΈ 27.04.2022): +- [PyPi](https://pypi.org/project/norfair) (π₯ 5.6K / month Β· π¦ 3 Β· β±οΈ 30.05.2022): ``` - pip install Augmentor + pip install norfair ``` </details> -<details><summary><b><a href="https://github.com/idealo/imagededup">Image Deduplicator</a></b> (π₯25 Β· β 4.8K Β· π€) - Finding duplicate images made easy!. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary> +<details><summary><b><a href="https://github.com/idealo/imagededup">Image Deduplicator</a></b> (π₯25 Β· β 4.9K Β· π€) - Finding duplicate images made easy!. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary> - [GitHub](https://github.com/idealo/imagededup) (π¨βπ» 15 Β· π 430 Β· π¦ 83 Β· π 120 - 26% open Β· β±οΈ 28.04.2023): ``` git clone https://github.com/idealo/imagededup ``` -- [PyPi](https://pypi.org/project/imagededup) (π₯ 14K / month): +- [PyPi](https://pypi.org/project/imagededup) (π₯ 15K / month): ``` pip install imagededup ``` </details> <details><summary><b><a href="https://github.com/facebookresearch/pytorchvideo">pytorchvideo</a></b> (π₯25 Β· β 3.1K) - A deep learning library for video understanding research. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/facebookresearch/pytorchvideo) (π¨βπ» 55 Β· π 370 Β· π 190 - 46% open Β· β±οΈ 30.10.2023): +- [GitHub](https://github.com/facebookresearch/pytorchvideo) (π¨βπ» 55 Β· π 370 Β· π 170 - 42% open Β· β±οΈ 30.10.2023): ``` git clone https://github.com/facebookresearch/pytorchvideo ``` -- [PyPi](https://pypi.org/project/pytorchvideo) (π₯ 82K / month Β· π¦ 7 Β· β±οΈ 20.01.2022): +- [PyPi](https://pypi.org/project/pytorchvideo) (π₯ 96K / month): ``` pip install pytorchvideo ``` </details> <details><summary><b><a href="https://github.com/libvips/pyvips">pyvips</a></b> (π₯25 Β· β 570) - python binding for libvips using cffi. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> -- [GitHub](https://github.com/libvips/pyvips) (π¨βπ» 16 Β· π 50 Β· π¦ 650 Β· π 390 - 41% open Β· β±οΈ 22.01.2024): +- [GitHub](https://github.com/libvips/pyvips) (π¨βπ» 16 Β· π 50 Β· π¦ 660 Β· π 400 - 41% open Β· β±οΈ 22.01.2024): ``` git clone https://github.com/libvips/pyvips ``` -- [PyPi](https://pypi.org/project/pyvips) (π₯ 52K / month Β· π¦ 50 Β· β±οΈ 04.01.2024): +- [PyPi](https://pypi.org/project/pyvips) (π₯ 54K / month Β· π¦ 50 Β· β±οΈ 04.01.2024): ``` pip install pyvips ``` @@ -2657,52 +2702,52 @@ _Libraries for image & video processing, manipulation, and augmentation as well conda install -c conda-forge pyvips ``` </details> -<details><summary><b><a href="https://github.com/facebookresearch/mmf">MMF</a></b> (π₯24 Β· β 5.4K) - A modular framework for vision & language multimodal research from.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> +<details><summary><b><a href="https://github.com/google-research/kubric">kubric</a></b> (π₯24 Β· β 2.1K) - A data generation pipeline for creating semi-realistic synthetic.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> -- [GitHub](https://github.com/facebookresearch/mmf) (π¨βπ» 120 Β· π 880 Β· π¦ 16 Β· π 650 - 16% open Β· β±οΈ 03.01.2024): +- [GitHub](https://github.com/google-research/kubric) (π¨βπ» 25 Β· π 200 Β· π¦ 3 Β· π 190 - 32% open Β· β±οΈ 16.10.2023): ``` - git clone https://github.com/facebookresearch/mmf + git clone https://github.com/google-research/kubric ``` -- [PyPi](https://pypi.org/project/mmf) (π₯ 200 / month): +- [PyPi](https://pypi.org/project/kubric-nightly) (π₯ 5.4K / month Β· β±οΈ 27.12.2023): ``` - pip install mmf + pip install kubric-nightly ``` </details> -<details><summary><b><a href="https://github.com/tryolabs/norfair">Norfair</a></b> (π₯24 Β· β 2.2K Β· π€) - Lightweight Python library for adding real-time multi-object.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary> +<details><summary><b><a href="https://github.com/facebookresearch/mmf">MMF</a></b> (π₯23 Β· β 5.4K) - A modular framework for vision & language multimodal research from.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/tryolabs/norfair) (π¨βπ» 24 Β· π 220 Β· π₯ 300 Β· π¦ 150 Β· π 140 - 4% open Β· β±οΈ 15.05.2023): +- [GitHub](https://github.com/facebookresearch/mmf) (π¨βπ» 120 Β· π 880 Β· π¦ 17 Β· π 650 - 16% open Β· β±οΈ 03.01.2024): ``` - git clone https://github.com/tryolabs/norfair + git clone https://github.com/facebookresearch/mmf ``` -- [PyPi](https://pypi.org/project/norfair) (π₯ 4.7K / month Β· π¦ 3 Β· β±οΈ 30.05.2022): +- [PyPi](https://pypi.org/project/mmf) (π₯ 220 / month): ``` - pip install norfair + pip install mmf ``` </details> -<details><summary><b><a href="https://github.com/google-research/kubric">kubric</a></b> (π₯24 Β· β 2.1K) - A data generation pipeline for creating semi-realistic synthetic.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> +<details><summary><b><a href="https://github.com/mdbloice/Augmentor">Augmentor</a></b> (π₯23 Β· β 5K Β· π€) - Image augmentation library in Python for machine learning. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> -- [GitHub](https://github.com/google-research/kubric) (π¨βπ» 25 Β· π 200 Β· π¦ 3 Β· π 190 - 32% open Β· β±οΈ 16.10.2023): +- [GitHub](https://github.com/mdbloice/Augmentor) (π¨βπ» 23 Β· π 840 Β· π¦ 700 Β· π 190 - 61% open Β· β±οΈ 29.03.2023): ``` - git clone https://github.com/google-research/kubric + git clone https://github.com/mdbloice/Augmentor ``` -- [PyPi](https://pypi.org/project/kubric-nightly) (π₯ 4.8K / month Β· β±οΈ 27.12.2023): +- [PyPi](https://pypi.org/project/Augmentor) (π₯ 5.8K / month): ``` - pip install kubric-nightly + pip install Augmentor ``` </details> -<details><summary><b><a href="https://github.com/facebookresearch/vissl">vissl</a></b> (π₯23 Β· β 3.2K) - VISSL is FAIRs library of extensible, modular and scalable components.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> +<details><summary><b><a href="https://github.com/tensorflow/graphics">tensorflow-graphics</a></b> (π₯23 Β· β 2.7K) - TensorFlow Graphics: Differentiable Graphics Layers.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/facebookresearch/vissl) (π¨βπ» 37 Β· π 320 Β· π¦ 34 Β· π 180 - 42% open Β· β±οΈ 05.01.2024): +- [GitHub](https://github.com/tensorflow/graphics) (π¨βπ» 39 Β· π 360 Β· π 240 - 61% open Β· β±οΈ 15.12.2023): ``` - git clone https://github.com/facebookresearch/vissl + git clone https://github.com/tensorflow/graphics ``` -- [PyPi](https://pypi.org/project/vissl) (π₯ 150 / month Β· π¦ 1 Β· β±οΈ 02.11.2021): +- [PyPi](https://pypi.org/project/tensorflow-graphics) (π₯ 9.8K / month Β· π¦ 9 Β· β±οΈ 03.12.2021): ``` - pip install vissl + pip install tensorflow-graphics ``` </details> <details><summary><b><a href="https://github.com/libffcv/ffcv">ffcv</a></b> (π₯23 Β· β 2.7K) - FFCV: Fast Forward Computer Vision (and other ML workloads!). <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> @@ -2712,11 +2757,23 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/libffcv/ffcv ``` -- [PyPi](https://pypi.org/project/ffcv) (π₯ 1.1K / month Β· π¦ 1 Β· β±οΈ 28.01.2022): +- [PyPi](https://pypi.org/project/ffcv) (π₯ 1.3K / month Β· π¦ 1 Β· β±οΈ 28.01.2022): ``` pip install ffcv ``` </details> +<details><summary><b><a href="https://github.com/facebookresearch/vissl">vissl</a></b> (π₯22 Β· β 3.2K) - VISSL is FAIRs library of extensible, modular and scalable components.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> + +- [GitHub](https://github.com/facebookresearch/vissl) (π¨βπ» 38 Β· π 320 Β· π¦ 34 Β· π 180 - 42% open Β· β±οΈ 26.01.2024): + + ``` + git clone https://github.com/facebookresearch/vissl + ``` +- [PyPi](https://pypi.org/project/vissl) (π₯ 120 / month Β· π¦ 1 Β· β±οΈ 02.11.2021): + ``` + pip install vissl + ``` +</details> <details><summary><b><a href="https://github.com/facebookresearch/detr">DEβ«ΆTR</a></b> (π₯21 Β· β 12K Β· π€) - End-to-End Object Detection with Transformers. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> - [GitHub](https://github.com/facebookresearch/detr) (π¨βπ» 26 Β· π 2.2K Β· π¦ 21 Β· π 520 - 45% open Β· β±οΈ 07.02.2023): @@ -2732,54 +2789,42 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/facebookresearch/SlowFast ``` -- [PyPi](https://pypi.org/project/pyslowfast) (π₯ 7 / month): +- [PyPi](https://pypi.org/project/pyslowfast) (π₯ 18 / month): ``` pip install pyslowfast ``` </details> -<details><summary><b><a href="https://github.com/tensorflow/graphics">tensorflow-graphics</a></b> (π₯20 Β· β 2.7K) - TensorFlow Graphics: Differentiable Graphics Layers.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary> +<details><summary><b><a href="https://github.com/facebookresearch/ClassyVision">Classy Vision</a></b> (π₯21 Β· β 1.6K Β· π€) - An end-to-end PyTorch framework for image and video.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/tensorflow/graphics) (π¨βπ» 39 Β· π 360 Β· π 180 - 47% open Β· β±οΈ 15.12.2023): +- [GitHub](https://github.com/facebookresearch/ClassyVision) (π¨βπ» 77 Β· π 280 Β· π 120 - 45% open Β· β±οΈ 23.03.2023): ``` - git clone https://github.com/tensorflow/graphics + git clone https://github.com/facebookresearch/ClassyVision ``` -- [PyPi](https://pypi.org/project/tensorflow-graphics) (π₯ 8K / month): +- [PyPi](https://pypi.org/project/classy_vision) (π₯ 560 / month Β· π¦ 4 Β· β±οΈ 21.03.2023): ``` - pip install tensorflow-graphics + pip install classy_vision + ``` +- [Conda](https://anaconda.org/conda-forge/classy_vision) (π₯ 19K Β· β±οΈ 16.06.2023): + ``` + conda install -c conda-forge classy_vision ``` </details> <details><summary><b><a href="https://github.com/facebookresearch/pycls">pycls</a></b> (π₯20 Β· β 2.1K) - Codebase for Image Classification Research, written in PyTorch. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/facebookresearch/pycls) (π¨βπ» 19 Β· π 230 Β· π¦ 16 Β· π 80 - 30% open Β· β±οΈ 26.08.2023): +- [GitHub](https://github.com/facebookresearch/pycls) (π¨βπ» 19 Β· π 230 Β· π¦ 17 Β· π 81 - 30% open Β· β±οΈ 26.08.2023): ``` git clone https://github.com/facebookresearch/pycls ``` -- [PyPi](https://pypi.org/project/pycls) (π₯ 1.3K / month): +- [PyPi](https://pypi.org/project/pycls) (π₯ 1.4K / month): ``` pip install pycls ``` </details> -<details><summary><b><a href="https://github.com/facebookresearch/ClassyVision">Classy Vision</a></b> (π₯20 Β· β 1.6K Β· π€) - An end-to-end PyTorch framework for image and video.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> +<details><summary><b><a href="https://github.com/google-research/scenic">scenic</a></b> (π₯18 Β· β 2.8K) - Scenic: A Jax Library for Computer Vision Research and Beyond. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://jax.readthedocs.io/en/latest/_static/favicon.png" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/facebookresearch/ClassyVision) (π¨βπ» 77 Β· π 280 Β· π 77 - 16% open Β· β±οΈ 23.03.2023): - - ``` - git clone https://github.com/facebookresearch/ClassyVision - ``` -- [PyPi](https://pypi.org/project/classy_vision) (π₯ 490 / month): - ``` - pip install classy_vision - ``` -- [Conda](https://anaconda.org/conda-forge/classy_vision) (π₯ 19K Β· β±οΈ 16.06.2023): - ``` - conda install -c conda-forge classy_vision - ``` -</details> -<details><summary><b><a href="https://github.com/google-research/scenic">scenic</a></b> (π₯18 Β· β 2.7K) - Scenic: A Jax Library for Computer Vision Research and Beyond. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://jax.readthedocs.io/en/latest/_static/favicon.png" style="display:inline;" width="13" height="13"></code></summary> - -- [GitHub](https://github.com/google-research/scenic) (π¨βπ» 76 Β· π 370 Β· π 260 - 58% open Β· β±οΈ 23.01.2024): +- [GitHub](https://github.com/google-research/scenic) (π¨βπ» 76 Β· π 370 Β· π 260 - 58% open Β· β±οΈ 26.01.2024): ``` git clone https://github.com/google-research/scenic @@ -2787,40 +2832,41 @@ _Libraries for image & video processing, manipulation, and augmentation as well </details> <details><summary><b><a href="https://github.com/jasmcaus/caer">Caer</a></b> (π₯17 Β· β 730 Β· π€) - A lightweight Computer Vision library. Scale your models, not boilerplate. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> -- [GitHub](https://github.com/jasmcaus/caer) (π¨βπ» 8 Β· π 97 Β· π₯ 30 Β· π 15 - 13% open Β· β±οΈ 01.04.2023): +- [GitHub](https://github.com/jasmcaus/caer) (π¨βπ» 8 Β· π 110 Β· π₯ 30 Β· π 15 - 13% open Β· β±οΈ 01.04.2023): ``` git clone https://github.com/jasmcaus/caer ``` -- [PyPi](https://pypi.org/project/caer) (π₯ 2.9K / month): +- [PyPi](https://pypi.org/project/caer) (π₯ 3.1K / month Β· π¦ 2 Β· β±οΈ 13.10.2021): ``` pip install caer ``` </details> -<details><summary>Show 22 hidden projects...</summary> +<details><summary>Show 23 hidden projects...</summary> - <b><a href="https://github.com/scikit-image/scikit-image">scikit-image</a></b> (π₯41 Β· β 5.8K) - Image processing in Python. <code>βUnlicensed</code> -- <b><a href="https://github.com/glfw/glfw">glfw</a></b> (π₯37 Β· β 12K) - A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input. <code><a href="https://tldrlegal.com/search?q=Zlib">βοΈZlib</a></code> +- <b><a href="https://github.com/glfw/glfw">glfw</a></b> (π₯37 Β· β 12K) - A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input. <code><a href="https://tldrlegal.com/search?q=Zlib">βοΈZlib</a></code> - <b><a href="https://github.com/aleju/imgaug">imgaug</a></b> (π₯35 Β· β 14K Β· π) - Image augmentation for machine learning experiments. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> -- <b><a href="https://github.com/ageitgey/face_recognition">Face Recognition</a></b> (π₯32 Β· β 51K Β· π) - The worlds simplest facial recognition api for Python.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code> -- <b><a href="https://github.com/deepinsight/insightface">InsightFace</a></b> (π₯31 Β· β 20K Β· π) - State-of-the-art 2D and 3D Face Analysis Project. <code>βUnlicensed</code> <code><img src="https://git.io/JLy1X" style="display:inline;" width="13" height="13"></code> -- <b><a href="https://github.com/PyImageSearch/imutils">imutils</a></b> (π₯31 Β· β 4.4K Β· π) - A series of convenience functions to make basic image processing.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> +- <b><a href="https://github.com/ageitgey/face_recognition">Face Recognition</a></b> (π₯33 Β· β 51K Β· π) - The worlds simplest facial recognition api for Python.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code> +- <b><a href="https://github.com/PyImageSearch/imutils">imutils</a></b> (π₯32 Β· β 4.4K Β· π) - A series of convenience functions to make basic image processing.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> - <b><a href="https://github.com/facebookresearch/pytorch3d">PyTorch3D</a></b> (π₯30 Β· β 8K) - PyTorch3D is FAIRs library of reusable components for deep.. <code>βUnlicensed</code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code> -- <b><a href="https://github.com/Layout-Parser/layout-parser">layout-parser</a></b> (π₯28 Β· β 4.2K Β· π) - A Unified Toolkit for Deep Learning Based Document Image.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> +- <b><a href="https://github.com/Layout-Parser/layout-parser">layout-parser</a></b> (π₯28 Β· β 4.2K Β· π) - A Unified Toolkit for Deep Learning Based Document Image.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> +- <b><a href="https://github.com/dmlc/gluon-cv">GluonCV</a></b> (π₯27 Β· β 5.7K Β· π) - Gluon CV Toolkit. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1X" style="display:inline;" width="13" height="13"></code> - <b><a href="https://github.com/chainer/chainercv">chainercv</a></b> (π₯27 Β· β 1.5K Β· π) - ChainerCV: a Library for Deep Learning in Computer Vision. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> - <b><a href="https://github.com/ipazc/mtcnn">mtcnn</a></b> (π₯26 Β· β 2.1K Β· π) - MTCNN face detection implementation for TensorFlow, as a PIP.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code> - <b><a href="https://github.com/qubvel/segmentation_models">segmentation_models</a></b> (π₯25 Β· β 4.5K Β· π) - Segmentation models with pretrained backbones. Keras.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code> -- <b><a href="https://github.com/idealo/image-super-resolution">Image Super-Resolution</a></b> (π₯23 Β· β 4.4K Β· π) - Super-scale your images and run experiments with.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code> +- <b><a href="https://github.com/luispedro/mahotas">mahotas</a></b> (π₯25 Β· β 820 Β· π) - Computer Vision in Python. <code>βUnlicensed</code> +- <b><a href="https://github.com/idealo/image-super-resolution">Image Super-Resolution</a></b> (π₯24 Β· β 4.4K Β· π) - Super-scale your images and run experiments with.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code> +- <b><a href="https://github.com/tryolabs/luminoth">Luminoth</a></b> (π₯23 Β· β 2.4K Β· π) - Deep Learning toolkit for Computer Vision. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code> - <b><a href="https://github.com/lucidrains/deep-daze">deep-daze</a></b> (π₯22 Β· β 4.4K Β· π) - Simple command line tool for text to image generation using.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> -- <b><a href="https://github.com/tryolabs/luminoth">Luminoth</a></b> (π₯22 Β· β 2.4K Β· π) - Deep Learning toolkit for Computer Vision. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code> - <b><a href="https://github.com/airctic/icevision">icevision</a></b> (π₯22 Β· β 840 Β· π) - An Agnostic Computer Vision Framework - Pluggable to any.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> - <b><a href="https://github.com/uploadcare/pillow-simd">Pillow-SIMD</a></b> (π₯21 Β· β 2.1K Β· π€) - The friendly PIL fork. <code><a href="https://tldrlegal.com/search?q=PIL">βοΈPIL</a></code> - <b><a href="https://github.com/rhsimplex/image-match">image-match</a></b> (π₯20 Β· β 2.9K Β· π) - Quickly search over billions of images. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> - <b><a href="https://github.com/hhatto/nude.py">nude.py</a></b> (π₯20 Β· β 920 Β· π) - Nudity detection with Python. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> - <b><a href="https://github.com/alankbi/detecto">detecto</a></b> (π₯20 Β· β 610 Β· π) - Build fully-functioning computer vision models with PyTorch. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code> - <b><a href="https://github.com/Oulu-IMEDS/solt">solt</a></b> (π₯18 Β· β 260 Β· π) - Streaming over lightweight data transformations. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> -- <b><a href="https://github.com/qanastek/HugsVision">HugsVision</a></b> (π₯15 Β· β 190 Β· π€) - HugsVision is a easy to use huggingface wrapper for state-of-.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code>huggingface</code> -- <b><a href="https://github.com/nicolas-chaulet/torch-points3d">Torch Points 3D</a></b> (π₯14 Β· β 180 Β· π) - Pytorch framework for doing deep learning on point.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code> +- <b><a href="https://github.com/nicolas-chaulet/torch-points3d">Torch Points 3D</a></b> (π₯16 Β· β 180 Β· π) - Pytorch framework for doing deep learning on point.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code> +- <b><a href="https://github.com/qanastek/HugsVision">HugsVision</a></b> (π₯15 Β· β 190 Β· π) - HugsVision is a easy to use huggingface wrapper for state-of-.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code>huggingface</code> </details> <br> @@ -2830,26 +2876,42 @@ _Libraries for image & video processing, manipulation, and augmentation as well _Libraries for graph processing, clustering, embedding, and machine learning tasks._ -<details><summary><b><a href="https://github.com/dmlc/dgl">dgl</a></b> (π₯38 Β· β 13K) - Python package built to ease deep learning on graph, on top of existing DL.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> +<details><summary><b><a href="https://github.com/networkx/networkx">networkx</a></b> (π₯44 Β· β 14K) - Network Analysis in Python. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary> -- [GitHub](https://github.com/dmlc/dgl) (π¨βπ» 280 Β· π 2.8K Β· π¦ 180 Β· π 2.5K - 13% open Β· β±οΈ 25.01.2024): +- [GitHub](https://github.com/networkx/networkx) (π¨βπ» 700 Β· π 3.1K Β· π₯ 65 Β· π¦ 220K Β· π 3.3K - 11% open Β· β±οΈ 31.01.2024): + + ``` + git clone https://github.com/networkx/networkx + ``` +- [PyPi](https://pypi.org/project/networkx) (π₯ 42M / month Β· π¦ 15K Β· β±οΈ 28.10.2023): + ``` + pip install networkx + ``` +- [Conda](https://anaconda.org/conda-forge/networkx) (π₯ 15M Β· β±οΈ 28.10.2023): + ``` + conda install -c conda-forge networkx + ``` +</details> +<details><summary><b><a href="https://github.com/dmlc/dgl">dgl</a></b> (π₯39 Β· β 13K) - Python package built to ease deep learning on graph, on top of existing DL.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> + +- [GitHub](https://github.com/dmlc/dgl) (π¨βπ» 280 Β· π 2.9K Β· π¦ 190 Β· π 2.7K - 17% open Β· β±οΈ 01.02.2024): ``` git clone https://github.com/dmlc/dgl ``` -- [PyPi](https://pypi.org/project/dgl) (π₯ 64K / month): +- [PyPi](https://pypi.org/project/dgl) (π₯ 67K / month Β· π¦ 87 Β· β±οΈ 12.01.2024): ``` pip install dgl ``` </details> -<details><summary><b><a href="https://github.com/pyg-team/pytorch_geometric">PyTorch Geometric</a></b> (π₯35 Β· β 19K) - Graph Neural Network Library for PyTorch. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> +<details><summary><b><a href="https://github.com/pyg-team/pytorch_geometric">PyTorch Geometric</a></b> (π₯38 Β· β 19K) - Graph Neural Network Library for PyTorch. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/pyg-team/pytorch_geometric) (π¨βπ» 480 Β· π 3.4K Β· π 3.3K - 23% open Β· β±οΈ 25.01.2024): +- [GitHub](https://github.com/pyg-team/pytorch_geometric) (π¨βπ» 480 Β· π 3.5K Β· π 3.5K - 26% open Β· β±οΈ 01.02.2024): ``` git clone https://github.com/pyg-team/pytorch_geometric ``` -- [PyPi](https://pypi.org/project/torch-geometric) (π₯ 220K / month): +- [PyPi](https://pypi.org/project/torch-geometric) (π₯ 240K / month Β· π¦ 140 Β· β±οΈ 12.10.2023): ``` pip install torch-geometric ``` @@ -2858,14 +2920,26 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas conda install -c conda-forge pytorch_geometric ``` </details> -<details><summary><b><a href="https://github.com/graphistry/pygraphistry">pygraphistry</a></b> (π₯30 Β· β 2K) - PyGraphistry is a Python library to quickly load, shape,.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1E" style="display:inline;" width="13" height="13"></code></summary> +<details><summary><b><a href="https://github.com/danielegrattarola/spektral">Spektral</a></b> (π₯29 Β· β 2.3K) - Graph Neural Networks with Keras and Tensorflow 2. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary> + +- [GitHub](https://github.com/danielegrattarola/spektral) (π¨βπ» 27 Β· π 340 Β· π¦ 260 Β· π 270 - 24% open Β· β±οΈ 21.01.2024): + + ``` + git clone https://github.com/danielegrattarola/spektral + ``` +- [PyPi](https://pypi.org/project/spektral) (π₯ 7.2K / month Β· π¦ 7 Β· β±οΈ 21.01.2024): + ``` + pip install spektral + ``` +</details> +<details><summary><b><a href="https://github.com/graphistry/pygraphistry">pygraphistry</a></b> (π₯29 Β· β 2K) - PyGraphistry is a Python library to quickly load, shape,.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1E" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/graphistry/pygraphistry) (π¨βπ» 40 Β· π 200 Β· π¦ 110 Β· π 310 - 50% open Β· β±οΈ 27.12.2023): +- [GitHub](https://github.com/graphistry/pygraphistry) (π¨βπ» 40 Β· π 200 Β· π¦ 110 Β· π 300 - 48% open Β· β±οΈ 27.12.2023): ``` git clone https://github.com/graphistry/pygraphistry ``` -- [PyPi](https://pypi.org/project/graphistry) (π₯ 3.2K / month Β· π¦ 6 Β· β±οΈ 27.12.2023): +- [PyPi](https://pypi.org/project/graphistry) (π₯ 3.6K / month): ``` pip install graphistry ``` @@ -2877,7 +2951,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` git clone https://github.com/snap-stanford/ogb ``` -- [PyPi](https://pypi.org/project/ogb) (π₯ 33K / month Β· π¦ 22 Β· β±οΈ 02.11.2022): +- [PyPi](https://pypi.org/project/ogb) (π₯ 34K / month Β· π¦ 22 Β· β±οΈ 02.11.2022): ``` pip install ogb ``` @@ -2886,74 +2960,74 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas conda install -c conda-forge ogb ``` </details> -<details><summary><b><a href="https://github.com/danielegrattarola/spektral">Spektral</a></b> (π₯27 Β· β 2.3K) - Graph Neural Networks with Keras and Tensorflow 2. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary> +<details><summary><b><a href="https://github.com/PaddlePaddle/PGL">Paddle Graph Learning</a></b> (π₯26 Β· β 1.6K) - Paddle Graph Learning (PGL) is an efficient and.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1M" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/danielegrattarola/spektral) (π¨βπ» 27 Β· π 330 Β· π¦ 260 Β· π 270 - 24% open Β· β±οΈ 21.01.2024): +- [GitHub](https://github.com/PaddlePaddle/PGL) (π¨βπ» 31 Β· π 300 Β· π¦ 50 Β· π 190 - 19% open Β· β±οΈ 26.09.2023): ``` - git clone https://github.com/danielegrattarola/spektral + git clone https://github.com/PaddlePaddle/PGL ``` -- [PyPi](https://pypi.org/project/spektral) (π₯ 6.7K / month): +- [PyPi](https://pypi.org/project/pgl) (π₯ 720 / month): ``` - pip install spektral + pip install pgl ``` </details> -<details><summary><b><a href="https://github.com/PaddlePaddle/PGL">Paddle Graph Learning</a></b> (π₯26 Β· β 1.6K) - Paddle Graph Learning (PGL) is an efficient and.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1M" style="display:inline;" width="13" height="13"></code></summary> +<details><summary><b><a href="https://github.com/facebookresearch/PyTorch-BigGraph">PyTorch-BigGraph</a></b> (π₯25 Β· β 3.3K) - Generate embeddings from large-scale graph-structured.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/PaddlePaddle/PGL) (π¨βπ» 31 Β· π 310 Β· π¦ 50 Β· π 210 - 42% open Β· β±οΈ 26.09.2023): +- [GitHub](https://github.com/facebookresearch/PyTorch-BigGraph) (π¨βπ» 31 Β· π 440 Β· π₯ 170 Β· π 200 - 32% open Β· β±οΈ 06.01.2024): ``` - git clone https://github.com/PaddlePaddle/PGL + git clone https://github.com/facebookresearch/PyTorch-BigGraph ``` -- [PyPi](https://pypi.org/project/pgl) (π₯ 730 / month Β· π¦ 2 Β· β±οΈ 26.09.2023): +- [PyPi](https://pypi.org/project/torchbiggraph) (π₯ 290K / month Β· π¦ 3 Β· β±οΈ 14.10.2019): ``` - pip install pgl + pip install torchbiggraph ``` </details> -<details><summary><b><a href="https://github.com/benedekrozemberczki/pytorch_geometric_temporal">pytorch_geometric_temporal</a></b> (π₯25 Β· β 2.4K) - PyTorch Geometric Temporal: Spatiotemporal Signal.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> +<details><summary><b><a href="https://github.com/benedekrozemberczki/pytorch_geometric_temporal">pytorch_geometric_temporal</a></b> (π₯25 Β· β 2.4K Β· π€) - PyTorch Geometric Temporal: Spatiotemporal Signal.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/benedekrozemberczki/pytorch_geometric_temporal) (π¨βπ» 28 Β· π 330 Β· π 180 - 11% open Β· β±οΈ 01.07.2023): +- [GitHub](https://github.com/benedekrozemberczki/pytorch_geometric_temporal) (π¨βπ» 28 Β· π 330 Β· π 180 - 15% open Β· β±οΈ 01.07.2023): ``` git clone https://github.com/benedekrozemberczki/pytorch_geometric_temporal ``` -- [PyPi](https://pypi.org/project/torch-geometric-temporal) (π₯ 1.6K / month Β· π¦ 4 Β· β±οΈ 04.09.2022): +- [PyPi](https://pypi.org/project/torch-geometric-temporal) (π₯ 1.8K / month Β· π¦ 3 Β· β±οΈ 04.09.2022): ``` pip install torch-geometric-temporal ``` </details> -<details><summary><b><a href="https://github.com/Accenture/AmpliGraph">AmpliGraph</a></b> (π₯24 Β· β 2K) - Python library for Representation Learning on Knowledge.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary> +<details><summary><b><a href="https://github.com/Accenture/AmpliGraph">AmpliGraph</a></b> (π₯25 Β· β 2K Β· π€) - Python library for Representation Learning on Knowledge.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary> - [GitHub](https://github.com/Accenture/AmpliGraph) (π¨βπ» 20 Β· π 240 Β· π¦ 49 Β· π 220 - 14% open Β· β±οΈ 12.07.2023): ``` git clone https://github.com/Accenture/AmpliGraph ``` -- [PyPi](https://pypi.org/project/ampligraph) (π₯ 610 / month): +- [PyPi](https://pypi.org/project/ampligraph) (π₯ 640 / month Β· β±οΈ 12.07.2023): ``` pip install ampligraph ``` </details> <details><summary><b><a href="https://github.com/pykeen/pykeen">PyKEEN</a></b> (π₯24 Β· β 1.4K) - A Python library for learning and evaluating knowledge graph embeddings. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> -- [GitHub](https://github.com/pykeen/pykeen) (π¨βπ» 36 Β· π 170 Β· π₯ 180 Β· π 520 - 17% open Β· β±οΈ 07.10.2023): +- [GitHub](https://github.com/pykeen/pykeen) (π¨βπ» 36 Β· π 170 Β· π₯ 180 Β· π 540 - 20% open Β· β±οΈ 07.10.2023): ``` git clone https://github.com/pykeen/pykeen ``` -- [PyPi](https://pypi.org/project/pykeen) (π₯ 3.2K / month): +- [PyPi](https://pypi.org/project/pykeen) (π₯ 3.7K / month Β· π¦ 5 Β· β±οΈ 22.02.2023): ``` pip install pykeen ``` </details> -<details><summary><b><a href="https://github.com/eliorc/node2vec">Node2Vec</a></b> (π₯24 Β· β 1.1K) - Implementation of the node2vec algorithm. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> +<details><summary><b><a href="https://github.com/eliorc/node2vec">Node2Vec</a></b> (π₯24 Β· β 1.2K) - Implementation of the node2vec algorithm. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> -- [GitHub](https://github.com/eliorc/node2vec) (π¨βπ» 13 Β· π 220 Β· π¦ 540 Β· π 91 - 4% open Β· β±οΈ 24.12.2023): +- [GitHub](https://github.com/eliorc/node2vec) (π¨βπ» 13 Β· π 230 Β· π¦ 540 Β· π 91 - 4% open Β· β±οΈ 24.12.2023): ``` git clone https://github.com/eliorc/node2vec ``` -- [PyPi](https://pypi.org/project/node2vec) (π₯ 62K / month): +- [PyPi](https://pypi.org/project/node2vec) (π₯ 77K / month Β· π¦ 21 Β· β±οΈ 01.08.2022): ``` pip install node2vec ``` @@ -2962,61 +3036,69 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas conda install -c conda-forge node2vec ``` </details> -<details><summary><b><a href="https://github.com/rusty1s/pytorch_cluster">torch-cluster</a></b> (π₯21 Β· β 730) - PyTorch Extension Library of Optimized Graph Cluster.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> +<details><summary><b><a href="https://github.com/rusty1s/pytorch_cluster">torch-cluster</a></b> (π₯24 Β· β 730) - PyTorch Extension Library of Optimized Graph Cluster.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> - [GitHub](https://github.com/rusty1s/pytorch_cluster) (π¨βπ» 32 Β· π 130 Β· π 150 - 19% open Β· β±οΈ 11.10.2023): ``` git clone https://github.com/rusty1s/pytorch_cluster ``` -- [PyPi](https://pypi.org/project/torch-cluster) (π₯ 12K / month): +- [PyPi](https://pypi.org/project/torch-cluster) (π₯ 12K / month Β· π¦ 45 Β· β±οΈ 12.10.2023): ``` pip install torch-cluster ``` -- [Conda](https://anaconda.org/conda-forge/pytorch_cluster) (π₯ 87K Β· β±οΈ 29.12.2023): +- [Conda](https://anaconda.org/conda-forge/pytorch_cluster) (π₯ 88K Β· β±οΈ 29.12.2023): ``` conda install -c conda-forge pytorch_cluster ``` </details> -<details><summary><b><a href="https://github.com/snap-stanford/deepsnap">deepsnap</a></b> (π₯21 Β· β 520) - Python library assists deep learning on graphs. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> +<details><summary><b><a href="https://github.com/snap-stanford/deepsnap">deepsnap</a></b> (π₯19 Β· β 520) - Python library assists deep learning on graphs. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> -- [GitHub](https://github.com/snap-stanford/deepsnap) (π¨βπ» 18 Β· π 54 Β· π₯ 10 Β· π¦ 82 Β· π 48 - 47% open Β· β±οΈ 11.11.2023): +- [GitHub](https://github.com/snap-stanford/deepsnap) (π¨βπ» 18 Β· π 54 Β· π₯ 10 Β· π¦ 83 Β· π 48 - 47% open Β· β±οΈ 11.11.2023): ``` git clone https://github.com/snap-stanford/deepsnap ``` -- [PyPi](https://pypi.org/project/deepsnap) (π₯ 430 / month Β· π¦ 1 Β· β±οΈ 05.09.2021): +- [PyPi](https://pypi.org/project/deepsnap) (π₯ 390 / month Β· π¦ 1 Β· β±οΈ 05.09.2021): ``` pip install deepsnap ``` </details> -<details><summary><b><a href="https://github.com/snap-stanford/GraphGym">GraphGym</a></b> (π₯19 Β· β 1.5K Β· π€) - Platform for designing and evaluating Graph Neural Networks (GNN). <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> +<details><summary><b><a href="https://github.com/snap-stanford/GraphGym">GraphGym</a></b> (π₯18 Β· β 1.6K Β· π€) - Platform for designing and evaluating Graph Neural Networks (GNN). <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> - [GitHub](https://github.com/snap-stanford/GraphGym) (π¨βπ» 6 Β· π 170 Β· π₯ 28 Β· π¦ 4 Β· π 45 - 33% open Β· β±οΈ 14.03.2023): ``` git clone https://github.com/snap-stanford/GraphGym ``` -- [PyPi](https://pypi.org/project/graphgym) (π₯ 54 / month Β· β±οΈ 24.03.2022): +- [PyPi](https://pypi.org/project/graphgym) (π₯ 60 / month Β· β±οΈ 24.03.2022): ``` pip install graphgym ``` </details> -<details><summary><b><a href="https://github.com/gsi-upm/sematch">Sematch</a></b> (π₯19 Β· β 420) - semantic similarity framework for knowledge graph. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> +<details><summary><b><a href="https://github.com/gsi-upm/sematch">Sematch</a></b> (π₯18 Β· β 420) - semantic similarity framework for knowledge graph. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> - [GitHub](https://github.com/gsi-upm/sematch) (π¨βπ» 10 Β· π 100 Β· π¦ 46 Β· π 34 - 44% open Β· β±οΈ 07.11.2023): ``` git clone https://github.com/gsi-upm/sematch ``` -- [PyPi](https://pypi.org/project/sematch) (π₯ 180 / month Β· π¦ 3 Β· β±οΈ 17.04.2017): +- [PyPi](https://pypi.org/project/sematch) (π₯ 220 / month Β· π¦ 3 Β· β±οΈ 17.04.2017): ``` pip install sematch ``` </details> -<details><summary><b><a href="https://github.com/THUMNLab/AutoGL">AutoGL</a></b> (π₯16 Β· β 1K) - An autoML framework & toolkit for machine learning on graphs. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> +<details><summary><b><a href="https://github.com/thunlp/OpenKE">OpenKE</a></b> (π₯17 Β· β 3.6K) - An Open-Source Package for Knowledge Embedding (KE). <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> -- [GitHub](https://github.com/THUMNLab/AutoGL) (π¨βπ» 15 Β· π 110 Β· π 36 - 33% open Β· β±οΈ 21.10.2023): +- [GitHub](https://github.com/thunlp/OpenKE) (π¨βπ» 14 Β· π 980 Β· π 380 - 7% open Β· β±οΈ 10.01.2024): + + ``` + git clone https://github.com/thunlp/OpenKE + ``` +</details> +<details><summary><b><a href="https://github.com/THUMNLab/AutoGL">AutoGL</a></b> (π₯16 Β· β 1.1K) - An autoML framework & toolkit for machine learning on graphs. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> + +- [GitHub](https://github.com/THUMNLab/AutoGL) (π¨βπ» 15 Β· π 120 Β· π 36 - 33% open Β· β±οΈ 21.10.2023): ``` git clone https://github.com/THUMNLab/AutoGL @@ -3026,46 +3108,43 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas pip install auto-graph-learning ``` </details> -<details><summary><b><a href="https://github.com/vaticle/typedb-ml">kglib</a></b> (π₯16 Β· β 550) - TypeDB-ML is the Machine Learning integrations library for TypeDB. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> +<details><summary><b><a href="https://github.com/thunlp/OpenNE">OpenNE</a></b> (π₯15 Β· β 1.7K) - An Open-Source Package for Network Embedding (NE). <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/vaticle/typedb-ml) (π¨βπ» 11 Β· π 98 Β· π₯ 220 Β· π 63 - 19% open Β· β±οΈ 18.11.2023): +- [GitHub](https://github.com/thunlp/OpenNE) (π¨βπ» 12 Β· π 480 Β· π 100 - 4% open Β· β±οΈ 10.01.2024): ``` - git clone https://github.com/vaticle/kglib - ``` -- [PyPi](https://pypi.org/project/grakn-kglib) (π₯ 89 / month Β· β±οΈ 19.08.2020): - ``` - pip install grakn-kglib + git clone https://github.com/thunlp/OpenNE ``` </details> -<details><summary><b><a href="https://github.com/thunlp/OpenNE">OpenNE</a></b> (π₯15 Β· β 1.7K) - An Open-Source Package for Network Embedding (NE). <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary> +<details><summary><b><a href="https://github.com/vaticle/typedb-ml">kglib</a></b> (π₯15 Β· β 550) - TypeDB-ML is the Machine Learning integrations library for TypeDB. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> -- [GitHub](https://github.com/thunlp/OpenNE) (π¨βπ» 13 Β· π 480 Β· π 100 - 4% open Β· β±οΈ 10.01.2024): +- [GitHub](https://github.com/vaticle/typedb-ml) (π¨βπ» 11 Β· π 98 Β· π₯ 220 Β· π 63 - 19% open Β· β±οΈ 18.11.2023): ``` - git clone https://github.com/thunlp/OpenNE + git clone https://github.com/vaticle/kglib + ``` +- [PyPi](https://pypi.org/project/grakn-kglib) (π₯ 100 / month Β· β±οΈ 19.08.2020): + ``` + pip install grakn-kglib ``` </details> -<details><summary>Show 19 hidden projects...</summary> +<details><summary>Show 16 hidden projects...</summary> -- <b><a href="https://github.com/networkx/networkx">networkx</a></b> (π₯42 Β· β 14K) - Network Analysis in Python. <code>βUnlicensed</code> -- <b><a href="https://github.com/igraph/python-igraph">igraph</a></b> (π₯33 Β· β 1.2K) - Python interface for igraph. <code><a href="http://bit.ly/2KucAZR">βοΈGPL-2.0</a></code> +- <b><a href="https://github.com/igraph/python-igraph">igraph</a></b> (π₯32 Β· β 1.2K) - Python interface for igraph. <code><a href="http://bit.ly/2KucAZR">βοΈGPL-2.0</a></code> - <b><a href="https://github.com/Kozea/pygal">pygal</a></b> (π₯30 Β· β 2.6K) - PYthon svg GrAph plotting Library. <code><a href="http://bit.ly/37RvQcA">βοΈLGPL-3.0</a></code> - <b><a href="https://github.com/stellargraph/stellargraph">StellarGraph</a></b> (π₯27 Β· β 2.8K Β· π) - StellarGraph - Machine Learning on Graphs. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code> -- <b><a href="https://github.com/benedekrozemberczki/karateclub">Karate Club</a></b> (π₯24 Β· β 2K) - Karate Club: An API Oriented Open-source Python Framework for.. <code><a href="http://bit.ly/2M0xdwT">βοΈGPL-3.0</a></code> -- <b><a href="https://github.com/facebookresearch/PyTorch-BigGraph">PyTorch-BigGraph</a></b> (π₯22 Β· β 3.3K) - Generate embeddings from large-scale graph-structured.. <code>βUnlicensed</code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code> +- <b><a href="https://github.com/benedekrozemberczki/karateclub">Karate Club</a></b> (π₯23 Β· β 2K Β· π€) - Karate Club: An API Oriented Open-source Python Framework.. <code><a href="http://bit.ly/2M0xdwT">βοΈGPL-3.0</a></code> +- <b><a href="https://github.com/google-deepmind/graph_nets">graph-nets</a></b> (π₯22 Β· β 5.3K Β· π) - Build Graph Nets in Tensorflow. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code> - <b><a href="https://github.com/divelab/DIG">DIG</a></b> (π₯22 Β· β 1.7K) - A library for graph deep learning research. <code><a href="http://bit.ly/2M0xdwT">βοΈGPL-3.0</a></code> - <b><a href="https://github.com/graph4ai/graph4nlp">graph4nlp</a></b> (π₯21 Β· β 1.6K Β· π) - Graph4nlp is the library for the easy use of Graph.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code> -- <b><a href="https://github.com/google-deepmind/graph_nets">graph-nets</a></b> (π₯20 Β· β 5.3K Β· π) - Build Graph Nets in Tensorflow. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code> +- <b><a href="https://github.com/phanein/deepwalk">DeepWalk</a></b> (π₯20 Β· β 2.6K Β· π) - DeepWalk - Deep Learning for Graphs. <code><a href="http://bit.ly/2M0xdwT">βοΈGPL-3.0</a></code> - <b><a href="https://github.com/google-deepmind/jraph">jraph</a></b> (π₯20 Β· β 1.3K Β· π) - A Graph Neural Network Library in Jax. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://jax.readthedocs.io/en/latest/_static/favicon.png" style="display:inline;" width="13" height="13"></code> -- <b><a href="https://github.com/IBCNServices/pyRDF2Vec">pyRDF2Vec</a></b> (π₯20 Β· β 240) - Python Implementation and Extension of RDF2Vec. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> -- <b><a href="https://github.com/phanein/deepwalk">DeepWalk</a></b> (π₯18 Β· β 2.6K Β· π) - DeepWalk - Deep Learning for Graphs. <code>βUnlicensed</code> +- <b><a href="https://github.com/IBCNServices/pyRDF2Vec">pyRDF2Vec</a></b> (π₯20 Β· β 240 Β· π€) - Python Implementation and Extension of RDF2Vec. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> - <b><a href="https://github.com/shenweichen/GraphEmbedding">GraphEmbedding</a></b> (π₯16 Β· β 3.5K Β· π) - Implementation and experiments of graph embedding.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code> -- <b><a href="https://github.com/deepgraph/deepgraph">DeepGraph</a></b> (π₯16 Β· β 280) - Analyze Data with Pandas-based Networks. Documentation:. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1S" style="display:inline;" width="13" height="13"></code> -- <b><a href="https://github.com/thunlp/OpenKE">OpenKE</a></b> (π₯15 Β· β 3.6K) - An Open-Source Package for Knowledge Embedding (KE). <code>βUnlicensed</code> - <b><a href="https://github.com/alibaba/euler">Euler</a></b> (π₯15 Β· β 2.9K Β· π) - A distributed graph deep learning framework. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code> +- <b><a href="https://github.com/microsoft/ptgnn">ptgnn</a></b> (π₯15 Β· β 370 Β· π) - A PyTorch Graph Neural Network Library. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code> - <b><a href="https://github.com/williamleif/GraphSAGE">GraphSAGE</a></b> (π₯14 Β· β 3.2K Β· π) - Representation learning on large graphs using stochastic.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code> -- <b><a href="https://github.com/microsoft/ptgnn">ptgnn</a></b> (π₯14 Β· β 370 Β· π) - A PyTorch Graph Neural Network Library. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code> +- <b><a href="https://github.com/deepgraph/deepgraph">DeepGraph</a></b> (π₯14 Β· β 280 Β· π€) - Analyze Data with Pandas-based Networks... <code>βUnlicensed</code> <code><img src="https://git.io/JLy1S" style="display:inline;" width="13" height="13"></code> - <b><a href="https://github.com/DeepGraphLearning/graphvite">GraphVite</a></b> (π₯13 Β· β 1.2K Β· π) - GraphVite: A General and High-performance Graph Embedding.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> </details> <br> @@ -3078,36 +3157,36 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as <details><summary><b><a href="https://github.com/espnet/espnet">espnet</a></b> (π₯37 Β· β 7.6K) - End-to-End Speech Processing Toolkit. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> -- [GitHub](https://github.com/espnet/espnet) (π¨βπ» 400 Β· π 2.1K Β· π₯ 79 Β· π¦ 280 Β· π 2.3K - 11% open Β· β±οΈ 19.01.2024): +- [GitHub](https://github.com/espnet/espnet) (π¨βπ» 400 Β· π 2.1K Β· π₯ 79 Β· π¦ 280 Β· π 2.3K - 11% open Β· β±οΈ 01.02.2024): ``` git clone https://github.com/espnet/espnet ``` -- [PyPi](https://pypi.org/project/espnet) (π₯ 18K / month Β· π¦ 5 Β· β±οΈ 25.10.2023): +- [PyPi](https://pypi.org/project/espnet) (π₯ 19K / month Β· π¦ 5 Β· β±οΈ 25.10.2023): ``` pip install espnet ``` </details> <details><summary><b><a href="https://github.com/speechbrain/speechbrain">speechbrain</a></b> (π₯36 Β· β 7.2K) - A PyTorch-based Speech Toolkit. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/speechbrain/speechbrain) (π¨βπ» 230 Β· π 1.2K Β· π¦ 1.4K Β· π 1K - 14% open Β· β±οΈ 25.01.2024): +- [GitHub](https://github.com/speechbrain/speechbrain) (π¨βπ» 230 Β· π 1.2K Β· π¦ 1.5K Β· π 1.1K - 14% open Β· β±οΈ 29.01.2024): ``` git clone https://github.com/speechbrain/speechbrain ``` -- [PyPi](https://pypi.org/project/speechbrain) (π₯ 170K / month Β· π¦ 24 Β· β±οΈ 22.11.2023): +- [PyPi](https://pypi.org/project/speechbrain) (π₯ 180K / month Β· π¦ 24 Β· β±οΈ 22.11.2023): ``` pip install speechbrain ``` </details> <details><summary><b><a href="https://github.com/coqui-ai/TTS">Coqui TTS</a></b> (π₯35 Β· β 26K) - - a deep learning toolkit for Text-to-Speech, battle-.. <code><a href="http://bit.ly/3postzC">MPL-2.0</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/coqui-ai/TTS) (π¨βπ» 160 Β· π 2.9K Β· π₯ 1.9M Β· π 960 - 10% open Β· β±οΈ 27.12.2023): +- [GitHub](https://github.com/coqui-ai/TTS) (π¨βπ» 160 Β· π 3K Β· π₯ 1.9M Β· π 970 - 8% open Β· β±οΈ 27.12.2023): ``` git clone https://github.com/coqui-ai/TTS ``` -- [PyPi](https://pypi.org/project/tts) (π₯ 120K / month Β· π¦ 23 Β· β±οΈ 12.12.2023): +- [PyPi](https://pypi.org/project/tts) (π₯ 140K / month Β· π¦ 24 Β· β±οΈ 12.12.2023): ``` pip install tts ``` @@ -3123,7 +3202,7 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as ``` git clone https://github.com/Uberi/speech_recognition ``` -- [PyPi](https://pypi.org/project/SpeechRecognition) (π₯ 590K / month Β· π¦ 830 Β· β±οΈ 06.12.2023): +- [PyPi](https://pypi.org/project/SpeechRecognition) (π₯ 620K / month Β· π¦ 830 Β· β±οΈ 06.12.2023): ``` pip install SpeechRecognition ``` @@ -3132,49 +3211,49 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as conda install -c conda-forge speechrecognition ``` </details> -<details><summary><b><a href="https://github.com/librosa/librosa">librosa</a></b> (π₯34 Β· β 6.5K) - Python library for audio and music analysis. <code><a href="http://bit.ly/3hkKRql">ISC</a></code></summary> +<details><summary><b><a href="https://github.com/pytorch/audio">torchaudio</a></b> (π₯34 Β· β 2.3K) - Data manipulation and transformation for audio signal.. <code><a href="http://bit.ly/3rqEWVr">BSD-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/librosa/librosa) (π¨βπ» 120 Β· π 950 Β· π 1.2K - 4% open Β· β±οΈ 27.12.2023): +- [GitHub](https://github.com/pytorch/audio) (π¨βπ» 220 Β· π 620 Β· π 920 - 22% open Β· β±οΈ 30.01.2024): ``` - git clone https://github.com/librosa/librosa - ``` -- [PyPi](https://pypi.org/project/librosa) (π₯ 2M / month Β· π¦ 1.5K Β· β±οΈ 16.08.2023): - ``` - pip install librosa + git clone https://github.com/pytorch/audio ``` -- [Conda](https://anaconda.org/conda-forge/librosa) (π₯ 720K Β· β±οΈ 16.08.2023): +- [PyPi](https://pypi.org/project/torchaudio) (π₯ 2.5M / month Β· π¦ 560 Β· β±οΈ 30.01.2024): ``` - conda install -c conda-forge librosa + pip install torchaudio ``` </details> -<details><summary><b><a href="https://github.com/pytorch/audio">torchaudio</a></b> (π₯34 Β· β 2.3K) - Data manipulation and transformation for audio signal.. <code><a href="http://bit.ly/3rqEWVr">BSD-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> +<details><summary><b><a href="https://github.com/magenta/magenta">Magenta</a></b> (π₯33 Β· β 19K Β· π€) - Magenta: Music and Art Generation with Machine Intelligence. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/pytorch/audio) (π¨βπ» 220 Β· π 620 Β· π 900 - 20% open Β· β±οΈ 12.01.2024): +- [GitHub](https://github.com/magenta/magenta) (π¨βπ» 160 Β· π 3.8K Β· π¦ 490 Β· π 990 - 40% open Β· β±οΈ 11.07.2023): ``` - git clone https://github.com/pytorch/audio + git clone https://github.com/magenta/magenta ``` -- [PyPi](https://pypi.org/project/torchaudio) (π₯ 2.2M / month Β· π¦ 550 Β· β±οΈ 14.12.2023): +- [PyPi](https://pypi.org/project/magenta) (π₯ 2.4K / month Β· π¦ 38 Β· β±οΈ 01.08.2022): ``` - pip install torchaudio + pip install magenta ``` </details> -<details><summary><b><a href="https://github.com/magenta/magenta">Magenta</a></b> (π₯33 Β· β 19K) - Magenta: Music and Art Generation with Machine Intelligence. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary> +<details><summary><b><a href="https://github.com/librosa/librosa">librosa</a></b> (π₯33 Β· β 6.5K) - Python library for audio and music analysis. <code><a href="http://bit.ly/3hkKRql">ISC</a></code></summary> -- [GitHub](https://github.com/magenta/magenta) (π¨βπ» 160 Β· π 3.8K Β· π¦ 490 Β· π 990 - 40% open Β· β±οΈ 11.07.2023): +- [GitHub](https://github.com/librosa/librosa) (π¨βπ» 120 Β· π 950 Β· π 1.2K - 4% open Β· β±οΈ 27.12.2023): ``` - git clone https://github.com/magenta/magenta + git clone https://github.com/librosa/librosa ``` -- [PyPi](https://pypi.org/project/magenta) (π₯ 2.3K / month Β· π¦ 38 Β· β±οΈ 01.08.2022): +- [PyPi](https://pypi.org/project/librosa) (π₯ 2.1M / month Β· π¦ 1.5K Β· β±οΈ 16.08.2023): ``` - pip install magenta + pip install librosa + ``` +- [Conda](https://anaconda.org/conda-forge/librosa) (π₯ 720K Β· β±οΈ 16.08.2023): + ``` + conda install -c conda-forge librosa ``` </details> -<details><summary><b><a href="https://github.com/deezer/spleeter">spleeter</a></b> (π₯31 Β· β 24K) - Deezer source separation library including pretrained models. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary> +<details><summary><b><a href="https://github.com/deezer/spleeter">spleeter</a></b> (π₯31 Β· β 24K Β· π€) - Deezer source separation library including pretrained models. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/deezer/spleeter) (π¨βπ» 19 Β· π 2.7K Β· π₯ 2.9M Β· π¦ 640 Β· π 770 - 27% open Β· β±οΈ 13.07.2023): +- [GitHub](https://github.com/deezer/spleeter) (π¨βπ» 19 Β· π 2.7K Β· π₯ 2.9M Β· π¦ 650 Β· π 790 - 28% open Β· β±οΈ 13.07.2023): ``` git clone https://github.com/deezer/spleeter @@ -3195,7 +3274,7 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as ``` git clone https://github.com/beetbox/audioread ``` -- [PyPi](https://pypi.org/project/audioread) (π₯ 1.7M / month Β· π¦ 360 Β· β±οΈ 27.09.2023): +- [PyPi](https://pypi.org/project/audioread) (π₯ 1.9M / month Β· π¦ 360 Β· β±οΈ 27.09.2023): ``` pip install audioread ``` @@ -3206,7 +3285,7 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as </details> <details><summary><b><a href="https://github.com/iver56/audiomentations">audiomentations</a></b> (π₯30 Β· β 1.6K) - A Python library for audio data augmentation. Inspired by.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> -- [GitHub](https://github.com/iver56/audiomentations) (π¨βπ» 24 Β· π 170 Β· π¦ 420 Β· π 170 - 27% open Β· β±οΈ 19.01.2024): +- [GitHub](https://github.com/iver56/audiomentations) (π¨βπ» 24 Β· π 170 Β· π¦ 420 Β· π 170 - 27% open Β· β±οΈ 31.01.2024): ``` git clone https://github.com/iver56/audiomentations @@ -3218,12 +3297,12 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as </details> <details><summary><b><a href="https://github.com/bastibe/python-soundfile">python-soundfile</a></b> (π₯30 Β· β 640) - SoundFile is an audio library based on libsndfile, CFFI, and.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary> -- [GitHub](https://github.com/bastibe/python-soundfile) (π¨βπ» 33 Β· π 93 Β· π₯ 17K Β· π¦ 30K Β· π 230 - 41% open Β· β±οΈ 05.01.2024): +- [GitHub](https://github.com/bastibe/python-soundfile) (π¨βπ» 33 Β· π 93 Β· π₯ 17K Β· π¦ 30K Β· π 230 - 42% open Β· β±οΈ 05.01.2024): ``` git clone https://github.com/bastibe/python-soundfile ``` -- [PyPi](https://pypi.org/project/soundfile) (π₯ 1.5M / month Β· π¦ 310 Β· β±οΈ 15.02.2023): +- [PyPi](https://pypi.org/project/soundfile) (π₯ 1.7M / month Β· π¦ 310 Β· β±οΈ 15.02.2023): ``` pip install soundfile ``` @@ -3232,54 +3311,42 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as conda install -c anaconda pysoundfile ``` </details> -<details><summary><b><a href="https://github.com/tyiannak/pyAudioAnalysis">pyAudioAnalysis</a></b> (π₯28 Β· β 5.6K) - Python Audio Analysis Library: Feature Extraction,.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> +<details><summary><b><a href="https://github.com/Picovoice/porcupine">Porcupine</a></b> (π₯29 Β· β 3.3K) - On-device wake word detection powered by deep learning. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> -- [GitHub](https://github.com/tyiannak/pyAudioAnalysis) (π¨βπ» 28 Β· π 1.2K Β· π¦ 420 Β· π 310 - 61% open Β· β±οΈ 22.10.2023): +- [GitHub](https://github.com/Picovoice/porcupine) (π¨βπ» 37 Β· π 470 Β· π¦ 27 Β· π 520 - 0% open Β· β±οΈ 31.01.2024): ``` - git clone https://github.com/tyiannak/pyAudioAnalysis + git clone https://github.com/Picovoice/Porcupine ``` -- [PyPi](https://pypi.org/project/pyAudioAnalysis) (π₯ 9.1K / month Β· π¦ 19 Β· β±οΈ 07.02.2022): +- [PyPi](https://pypi.org/project/pvporcupine) (π₯ 5.3K / month Β· π¦ 14 Β· β±οΈ 30.01.2024): ``` - pip install pyAudioAnalysis + pip install pvporcupine ``` </details> -<details><summary><b><a href="https://github.com/Picovoice/porcupine">Porcupine</a></b> (π₯28 Β· β 3.3K) - On-device wake word detection powered by deep learning. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> +<details><summary><b><a href="https://github.com/tyiannak/pyAudioAnalysis">pyAudioAnalysis</a></b> (π₯28 Β· β 5.6K) - Python Audio Analysis Library: Feature Extraction,.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> -- [GitHub](https://github.com/Picovoice/porcupine) (π¨βπ» 37 Β· π 460 Β· π¦ 26 Β· π 510 - 0% open Β· β±οΈ 20.01.2024): +- [GitHub](https://github.com/tyiannak/pyAudioAnalysis) (π¨βπ» 28 Β· π 1.2K Β· π¦ 430 Β· π 310 - 61% open Β· β±οΈ 22.10.2023): ``` - git clone https://github.com/Picovoice/Porcupine + git clone https://github.com/tyiannak/pyAudioAnalysis ``` -- [PyPi](https://pypi.org/project/pvporcupine) (π₯ 4.4K / month Β· π¦ 13 Β· β±οΈ 16.11.2023): +- [PyPi](https://pypi.org/project/pyAudioAnalysis) (π₯ 9.9K / month Β· π¦ 20 Β· β±οΈ 07.02.2022): ``` - pip install pvporcupine + pip install pyAudioAnalysis ``` </details> -<details><summary><b><a href="https://github.com/CPJKU/madmom">Madmom</a></b> (π₯27 Β· β 1.2K) - Python audio and music signal processing library. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary> +<details><summary><b><a href="https://github.com/CPJKU/madmom">Madmom</a></b> (π₯26 Β· β 1.2K) - Python audio and music signal processing library. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary> - [GitHub](https://github.com/CPJKU/madmom) (π¨βπ» 20 Β· π 190 Β· π¦ 390 Β· π 280 - 23% open Β· β±οΈ 10.09.2023): ``` git clone https://github.com/CPJKU/madmom ``` -- [PyPi](https://pypi.org/project/madmom) (π₯ 2.3K / month Β· π¦ 33 Β· β±οΈ 14.11.2018): +- [PyPi](https://pypi.org/project/madmom) (π₯ 2.6K / month Β· π¦ 33 Β· β±οΈ 14.11.2018): ``` pip install madmom ``` </details> -<details><summary><b><a href="https://github.com/devsnd/tinytag">tinytag</a></b> (π₯25 Β· β 640) - Read audio and music meta data and duration of MP3, OGG, OPUS, MP4, M4A,.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> - -- [GitHub](https://github.com/devsnd/tinytag) (π¨βπ» 26 Β· π 100 Β· π 110 - 13% open Β· β±οΈ 26.10.2023): - - ``` - git clone https://github.com/devsnd/tinytag - ``` -- [PyPi](https://pypi.org/project/tinytag) (π₯ 23K / month Β· π¦ 110 Β· β±οΈ 26.10.2023): - ``` - pip install tinytag - ``` -</details> <details><summary><b><a href="https://github.com/magenta/ddsp">DDSP</a></b> (π₯24 Β· β 2.7K Β· π€) - DDSP: Differentiable Digital Signal Processing. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary> - [GitHub](https://github.com/magenta/ddsp) (π¨βπ» 32 Β· π 310 Β· π¦ 48 Β· π 170 - 25% open Β· β±οΈ 30.06.2023): @@ -3296,51 +3363,48 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as conda install -c conda-forge ddsp ``` </details> -<details><summary><b><a href="https://github.com/mozilla/DeepSpeech">DeepSpeech</a></b> (π₯23 Β· β 24K) - DeepSpeech is an open source embedded (offline, on-device).. <code><a href="http://bit.ly/3postzC">MPL-2.0</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary> +<details><summary><b><a href="https://github.com/devsnd/tinytag">tinytag</a></b> (π₯24 Β· β 650) - Read audio and music meta data and duration of MP3, OGG, OPUS, MP4, M4A,.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> -- [GitHub](https://github.com/mozilla/DeepSpeech) (π¨βπ» 140 Β· π 3.9K): +- [GitHub](https://github.com/devsnd/tinytag) (π¨βπ» 26 Β· π 100 Β· π 110 - 13% open Β· β±οΈ 26.10.2023): ``` - git clone https://github.com/mozilla/DeepSpeech - ``` -- [PyPi](https://pypi.org/project/deepspeech) (π₯ 3.9K / month Β· π¦ 43 Β· β±οΈ 19.12.2020): - ``` - pip install deepspeech + git clone https://github.com/devsnd/tinytag ``` -- [Conda](https://anaconda.org/conda-forge/deepspeech) (π₯ 2.5K Β· β±οΈ 16.06.2023): +- [PyPi](https://pypi.org/project/tinytag) (π₯ 23K / month Β· π¦ 110 Β· β±οΈ 26.10.2023): ``` - conda install -c conda-forge deepspeech + pip install tinytag ``` </details> <details><summary><b><a href="https://github.com/KinWaiCheuk/nnAudio">nnAudio</a></b> (π₯20 Β· β 930) - Audio processing by using pytorch 1D convolution network. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> -- [GitHub](https://github.com/KinWaiCheuk/nnAudio) (π¨βπ» 15 Β· π 87 Β· π¦ 150 Β· π 60 - 30% open Β· β±οΈ 04.09.2023): +- [GitHub](https://github.com/KinWaiCheuk/nnAudio) (π¨βπ» 15 Β· π 87 Β· π¦ 160 Β· π 60 - 30% open Β· β±οΈ 04.09.2023): ``` git clone https://github.com/KinWaiCheuk/nnAudio ``` -- [PyPi](https://pypi.org/project/nnAudio) (π₯ 4.2K / month Β· π¦ 3 Β· β±οΈ 24.12.2021): +- [PyPi](https://pypi.org/project/nnAudio) (π₯ 4.1K / month Β· π¦ 3 Β· β±οΈ 24.12.2021): ``` pip install nnAudio ``` </details> <details><summary><b><a href="https://github.com/facebookresearch/textlesslib">textlesslib</a></b> (π₯10 Β· β 480) - Library for Textless Spoken Language Processing. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/facebookresearch/textlesslib) (π¨βπ» 8 Β· π 48 Β· π 18 - 50% open Β· β±οΈ 29.08.2023): +- [GitHub](https://github.com/facebookresearch/textlesslib) (π¨βπ» 8 Β· π 49 Β· π 18 - 50% open Β· β±οΈ 29.08.2023): ``` git clone https://github.com/facebookresearch/textlesslib ``` </details> -<details><summary>Show 10 hidden projects...</summary> +<details><summary>Show 11 hidden projects...</summary> -- <b><a href="https://github.com/jiaaro/pydub">Pydub</a></b> (π₯34 Β· β 8.1K Β· π) - Manipulate audio with a simple and easy high level interface. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> +- <b><a href="https://github.com/jiaaro/pydub">Pydub</a></b> (π₯35 Β· β 8.1K Β· π) - Manipulate audio with a simple and easy high level interface. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> +- <b><a href="https://github.com/mozilla/DeepSpeech">DeepSpeech</a></b> (π₯34 Β· β 24K Β· π) - DeepSpeech is an open source embedded (offline, on-.. <code><a href="http://bit.ly/3postzC">MPL-2.0</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code> - <b><a href="https://github.com/aubio/aubio">aubio</a></b> (π₯29 Β· β 3.1K) - a library for audio and music analysis. <code><a href="http://bit.ly/2M0xdwT">βοΈGPL-3.0</a></code> -- <b><a href="https://github.com/mozilla/TTS">TTS</a></b> (π₯27 Β· β 8.5K Β· π) - Deep learning for Text to Speech (Discussion forum:.. <code><a href="http://bit.ly/3postzC">MPL-2.0</a></code> +- <b><a href="https://github.com/mozilla/TTS">TTS</a></b> (π₯26 Β· β 8.5K Β· π) - Deep learning for Text to Speech (Discussion forum:.. <code><a href="http://bit.ly/3postzC">MPL-2.0</a></code> - <b><a href="https://github.com/MTG/essentia">Essentia</a></b> (π₯26 Β· β 2.6K) - C++ library for audio and music analysis, description and.. <code><a href="http://bit.ly/3pwmjO5">βοΈAGPL-3.0</a></code> - <b><a href="https://github.com/jameslyons/python_speech_features">python_speech_features</a></b> (π₯24 Β· β 2.3K Β· π) - This library provides common speech features for ASR.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> +- <b><a href="https://github.com/keunwoochoi/kapre">kapre</a></b> (π₯23 Β· β 910 Β· π) - kapre: Keras Audio Preprocessors. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code> - <b><a href="https://github.com/worldveil/dejavu">Dejavu</a></b> (π₯22 Β· β 6.2K Β· π) - Audio fingerprinting and recognition in Python. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> -- <b><a href="https://github.com/keunwoochoi/kapre">kapre</a></b> (π₯22 Β· β 910 Β· π) - kapre: Keras Audio Preprocessors. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code> - <b><a href="https://github.com/adefossez/julius">Julius</a></b> (π₯21 Β· β 390 Β· π) - Fast PyTorch based DSP for audio and 1D signals. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code> - <b><a href="https://github.com/yomguy/TimeSide">TimeSide</a></b> (π₯20 Β· β 360 Β· π€) - scalable audio processing framework and server written in.. <code><a href="http://bit.ly/3pwmjO5">βοΈAGPL-3.0</a></code> - <b><a href="https://github.com/bmcfee/muda">Muda</a></b> (π₯17 Β· β 220 Β· π) - A library for augmenting annotated audio data. <code><a href="http://bit.ly/3hkKRql">ISC</a></code> @@ -3355,12 +3419,12 @@ _Libraries to load, process, analyze, and write geographic data as well as libra <details><summary><b><a href="https://github.com/visgl/deck.gl">pydeck</a></b> (π₯42 Β· β 11K) - WebGL2 powered visualization framework. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1E" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/visgl/deck.gl) (π¨βπ» 240 Β· π 2.1K Β· π¦ 7.1K Β· π 2.9K - 10% open Β· β±οΈ 25.01.2024): +- [GitHub](https://github.com/visgl/deck.gl) (π¨βπ» 240 Β· π 2.1K Β· π¦ 7.1K Β· π 2.9K - 10% open Β· β±οΈ 31.01.2024): ``` git clone https://github.com/visgl/deck.gl ``` -- [PyPi](https://pypi.org/project/pydeck) (π₯ 1.8M / month Β· π¦ 56 Β· β±οΈ 15.04.2023): +- [PyPi](https://pypi.org/project/pydeck) (π₯ 1.9M / month Β· π¦ 57 Β· β±οΈ 15.04.2023): ``` pip install pydeck ``` @@ -3368,35 +3432,35 @@ _Libraries to load, process, analyze, and write geographic data as well as libra ``` conda install -c conda-forge pydeck ``` -- [npm](https://www.npmjs.com/package/deck.gl) (π₯ 340K / month Β· π¦ 490 Β· β±οΈ 22.01.2024): +- [npm](https://www.npmjs.com/package/deck.gl) (π₯ 410K / month Β· π¦ 490 Β· β±οΈ 22.01.2024): ``` npm install deck.gl ``` </details> <details><summary><b><a href="https://github.com/geopandas/geopandas">GeoPandas</a></b> (π₯40 Β· β 4K) - Python tools for geographic data. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1S" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/geopandas/geopandas) (π¨βπ» 220 Β· π 910 Β· π₯ 2.4K Β· π¦ 31K Β· π 1.6K - 27% open Β· β±οΈ 25.01.2024): +- [GitHub](https://github.com/geopandas/geopandas) (π¨βπ» 220 Β· π 910 Β· π₯ 2.4K Β· π¦ 31K Β· π 1.6K - 27% open Β· β±οΈ 27.01.2024): ``` git clone https://github.com/geopandas/geopandas ``` -- [PyPi](https://pypi.org/project/geopandas) (π₯ 5.5M / month Β· π¦ 1.9K Β· β±οΈ 04.01.2024): +- [PyPi](https://pypi.org/project/geopandas) (π₯ 5.8M / month Β· π¦ 1.9K Β· β±οΈ 31.01.2024): ``` pip install geopandas ``` -- [Conda](https://anaconda.org/conda-forge/geopandas) (π₯ 3.4M Β· β±οΈ 05.01.2024): +- [Conda](https://anaconda.org/conda-forge/geopandas) (π₯ 3.4M Β· β±οΈ 31.01.2024): ``` conda install -c conda-forge geopandas ``` </details> <details><summary><b><a href="https://github.com/python-visualization/folium">folium</a></b> (π₯39 Β· β 6.6K) - Python Data. Leaflet.js Maps. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> -- [GitHub](https://github.com/python-visualization/folium) (π¨βπ» 160 Β· π 2.2K Β· π¦ 33K Β· π 1.1K - 6% open Β· β±οΈ 21.01.2024): +- [GitHub](https://github.com/python-visualization/folium) (π¨βπ» 160 Β· π 2.2K Β· π¦ 34K Β· π 1.1K - 6% open Β· β±οΈ 21.01.2024): ``` git clone https://github.com/python-visualization/folium ``` -- [PyPi](https://pypi.org/project/folium) (π₯ 750K / month Β· π¦ 820 Β· β±οΈ 04.12.2023): +- [PyPi](https://pypi.org/project/folium) (π₯ 850K / month Β· π¦ 820 Β· β±οΈ 04.12.2023): ``` pip install folium ``` @@ -3407,12 +3471,12 @@ _Libraries to load, process, analyze, and write geographic data as well as libra </details> <details><summary><b><a href="https://github.com/shapely/shapely">Shapely</a></b> (π₯38 Β· β 3.6K) - Manipulation and analysis of geometric objects. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary> -- [GitHub](https://github.com/shapely/shapely) (π¨βπ» 150 Β· π 540 Β· π₯ 2.9K Β· π¦ 61K Β· π 1.1K - 20% open Β· β±οΈ 24.01.2024): +- [GitHub](https://github.com/shapely/shapely) (π¨βπ» 150 Β· π 540 Β· π₯ 2.9K Β· π¦ 61K Β· π 1.1K - 20% open Β· β±οΈ 30.01.2024): ``` git clone https://github.com/shapely/shapely ``` -- [PyPi](https://pypi.org/project/shapely) (π₯ 16M / month Β· π¦ 1.3K Β· β±οΈ 12.10.2023): +- [PyPi](https://pypi.org/project/shapely) (π₯ 17M / month Β· π¦ 1.3K Β· β±οΈ 12.10.2023): ``` pip install shapely ``` @@ -3439,12 +3503,12 @@ _Libraries to load, process, analyze, and write geographic data as well as libra </details> <details><summary><b><a href="https://github.com/Toblerity/Fiona">Fiona</a></b> (π₯36 Β· β 1.1K) - Fiona reads and writes geographic data files. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary> -- [GitHub](https://github.com/Toblerity/Fiona) (π¨βπ» 72 Β· π 210 Β· π¦ 17K Β· π 760 - 4% open Β· β±οΈ 16.01.2024): +- [GitHub](https://github.com/Toblerity/Fiona) (π¨βπ» 72 Β· π 210 Β· π¦ 18K Β· π 760 - 4% open Β· β±οΈ 16.01.2024): ``` git clone https://github.com/Toblerity/Fiona ``` -- [PyPi](https://pypi.org/project/fiona) (π₯ 5.7M / month Β· π¦ 80 Β· β±οΈ 12.10.2023): +- [PyPi](https://pypi.org/project/fiona) (π₯ 6M / month Β· π¦ 80 Β· β±οΈ 12.10.2023): ``` pip install fiona ``` @@ -3455,16 +3519,16 @@ _Libraries to load, process, analyze, and write geographic data as well as libra </details> <details><summary><b><a href="https://github.com/geopy/geopy">geopy</a></b> (π₯35 Β· β 4.2K) - Geocoding library for Python. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> -- [GitHub](https://github.com/geopy/geopy) (π¨βπ» 130 Β· π 660 Β· π₯ 14 Β· π 280 - 11% open Β· β±οΈ 23.11.2023): +- [GitHub](https://github.com/geopy/geopy) (π¨βπ» 130 Β· π 660 Β· π₯ 16 Β· π 280 - 11% open Β· β±οΈ 23.11.2023): ``` git clone https://github.com/geopy/geopy ``` -- [PyPi](https://pypi.org/project/geopy) (π₯ 4.4M / month Β· π¦ 4.1K Β· β±οΈ 23.11.2023): +- [PyPi](https://pypi.org/project/geopy) (π₯ 4.7M / month Β· π¦ 4.1K Β· β±οΈ 23.11.2023): ``` pip install geopy ``` -- [Conda](https://anaconda.org/conda-forge/geopy) (π₯ 1.2M Β· β±οΈ 24.11.2023): +- [Conda](https://anaconda.org/conda-forge/geopy) (π₯ 1.3M Β· β±οΈ 24.11.2023): ``` conda install -c conda-forge geopy ``` @@ -3476,7 +3540,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra ``` git clone https://github.com/pyproj4/pyproj ``` -- [PyPi](https://pypi.org/project/pyproj) (π₯ 7.3M / month Β· π¦ 2K Β· β±οΈ 21.09.2023): +- [PyPi](https://pypi.org/project/pyproj) (π₯ 7.7M / month Β· π¦ 2K Β· β±οΈ 21.09.2023): ``` pip install pyproj ``` @@ -3487,12 +3551,12 @@ _Libraries to load, process, analyze, and write geographic data as well as libra </details> <details><summary><b><a href="https://github.com/jupyter-widgets/ipyleaflet">ipyleaflet</a></b> (π₯34 Β· β 1.4K) - A Jupyter - Leaflet.js bridge. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1E" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/jupyter-widgets/ipyleaflet) (π¨βπ» 87 Β· π 360 Β· π¦ 7K Β· π 620 - 43% open Β· β±οΈ 16.01.2024): +- [GitHub](https://github.com/jupyter-widgets/ipyleaflet) (π¨βπ» 87 Β· π 360 Β· π¦ 7.1K Β· π 620 - 43% open Β· β±οΈ 26.01.2024): ``` git clone https://github.com/jupyter-widgets/ipyleaflet ``` -- [PyPi](https://pypi.org/project/ipyleaflet) (π₯ 100K / month Β· π¦ 160 Β· β±οΈ 23.01.2024): +- [PyPi](https://pypi.org/project/ipyleaflet) (π₯ 130K / month Β· π¦ 160 Β· β±οΈ 23.01.2024): ``` pip install ipyleaflet ``` @@ -3500,14 +3564,14 @@ _Libraries to load, process, analyze, and write geographic data as well as libra ``` conda install -c conda-forge ipyleaflet ``` -- [npm](https://www.npmjs.com/package/jupyter-leaflet) (π₯ 23K / month Β· π¦ 6 Β· β±οΈ 23.01.2024): +- [npm](https://www.npmjs.com/package/jupyter-leaflet) (π₯ 24K / month Β· π¦ 6 Β· β±οΈ 23.01.2024): ``` npm install jupyter-leaflet ``` </details> <details><summary><b><a href="https://github.com/Esri/arcgis-python-api">ArcGIS API</a></b> (π₯31 Β· β 1.7K) - Documentation and samples for ArcGIS API for Python. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> -- [GitHub](https://github.com/Esri/arcgis-python-api) (π¨βπ» 89 Β· π 1.1K Β· π₯ 10K Β· π¦ 4 Β· π 660 - 7% open Β· β±οΈ 24.01.2024): +- [GitHub](https://github.com/Esri/arcgis-python-api) (π¨βπ» 89 Β· π 1.1K Β· π₯ 10K Β· π¦ 4 Β· π 660 - 7% open Β· β±οΈ 31.01.2024): ``` git clone https://github.com/Esri/arcgis-python-api @@ -3528,7 +3592,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra ``` git clone https://github.com/jazzband/geojson ``` -- [PyPi](https://pypi.org/project/geojson) (π₯ 1.3M / month Β· π¦ 1.3K Β· β±οΈ 05.11.2023): +- [PyPi](https://pypi.org/project/geojson) (π₯ 1.4M / month Β· π¦ 1.3K Β· β±οΈ 05.11.2023): ``` pip install geojson ``` @@ -3539,12 +3603,12 @@ _Libraries to load, process, analyze, and write geographic data as well as libra </details> <details><summary><b><a href="https://github.com/holoviz/geoviews">GeoViews</a></b> (π₯29 Β· β 550) - Simple, concise geographical visualization in Python. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary> -- [GitHub](https://github.com/holoviz/geoviews) (π¨βπ» 30 Β· π 73 Β· π¦ 860 Β· π 340 - 31% open Β· β±οΈ 24.01.2024): +- [GitHub](https://github.com/holoviz/geoviews) (π¨βπ» 30 Β· π 73 Β· π¦ 870 Β· π 340 - 31% open Β· β±οΈ 31.01.2024): ``` git clone https://github.com/holoviz/geoviews ``` -- [PyPi](https://pypi.org/project/geoviews) (π₯ 6.6K / month Β· π¦ 38 Β· β±οΈ 24.01.2024): +- [PyPi](https://pypi.org/project/geoviews) (π₯ 7.8K / month Β· π¦ 39 Β· β±οΈ 24.01.2024): ``` pip install geoviews ``` @@ -3555,12 +3619,12 @@ _Libraries to load, process, analyze, and write geographic data as well as libra </details> <details><summary><b><a href="https://github.com/pysal/pysal">PySAL</a></b> (π₯27 Β· β 1.2K) - PySAL: Python Spatial Analysis Library Meta-Package. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary> -- [GitHub](https://github.com/pysal/pysal) (π¨βπ» 78 Β· π 280 Β· π 620 - 2% open Β· β±οΈ 11.12.2023): +- [GitHub](https://github.com/pysal/pysal) (π¨βπ» 78 Β· π 280 Β· π 630 - 2% open Β· β±οΈ 31.01.2024): ``` git clone https://github.com/pysal/pysal ``` -- [PyPi](https://pypi.org/project/pysal) (π₯ 21K / month Β· π¦ 39 Β· β±οΈ 21.01.2024): +- [PyPi](https://pypi.org/project/pysal) (π₯ 23K / month Β· π¦ 39 Β· β±οΈ 31.01.2024): ``` pip install pysal ``` @@ -3576,23 +3640,23 @@ _Libraries to load, process, analyze, and write geographic data as well as libra ``` git clone https://github.com/earthlab/earthpy ``` -- [PyPi](https://pypi.org/project/earthpy) (π₯ 4.3K / month Β· π¦ 17 Β· β±οΈ 01.10.2021): +- [PyPi](https://pypi.org/project/earthpy) (π₯ 4.7K / month Β· π¦ 17 Β· β±οΈ 01.10.2021): ``` pip install earthpy ``` -- [Conda](https://anaconda.org/conda-forge/earthpy) (π₯ 71K Β· β±οΈ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/earthpy) (π₯ 72K Β· β±οΈ 16.06.2023): ``` conda install -c conda-forge earthpy ``` </details> -<details><summary><b><a href="https://github.com/geospace-code/pymap3d">pymap3d</a></b> (π₯25 Β· β 350) - pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef.. <code><a href="http://bit.ly/3rqEWVr">BSD-2</a></code></summary> +<details><summary><b><a href="https://github.com/geospace-code/pymap3d">pymap3d</a></b> (π₯25 Β· β 360) - pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef.. <code><a href="http://bit.ly/3rqEWVr">BSD-2</a></code></summary> -- [GitHub](https://github.com/geospace-code/pymap3d) (π¨βπ» 18 Β· π 82 Β· π¦ 350 Β· π 55 - 16% open Β· β±οΈ 15.01.2024): +- [GitHub](https://github.com/geospace-code/pymap3d) (π¨βπ» 18 Β· π 82 Β· π¦ 360 Β· π 56 - 16% open Β· β±οΈ 29.01.2024): ``` git clone https://github.com/geospace-code/pymap3d ``` -- [PyPi](https://pypi.org/project/pymap3d) (π₯ 61K / month Β· π¦ 23 Β· β±οΈ 05.03.2023): +- [PyPi](https://pypi.org/project/pymap3d) (π₯ 73K / month Β· π¦ 23 Β· β±οΈ 05.03.2023): ``` pip install pymap3d ``` @@ -3603,9 +3667,9 @@ _Libraries to load, process, analyze, and write geographic data as well as libra </details> <details><summary>Show 7 hidden projects...</summary> -- <b><a href="https://github.com/DenisCarriere/geocoder">Geocoder</a></b> (π₯32 Β· β 1.6K Β· π) - Python Geocoder. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> - <b><a href="https://github.com/pytroll/satpy">Satpy</a></b> (π₯32 Β· β 980) - Python package for earth-observing satellite data processing. <code><a href="http://bit.ly/2M0xdwT">βοΈGPL-3.0</a></code> -- <b><a href="https://github.com/sentinelsat/sentinelsat">Sentinelsat</a></b> (π₯26 Β· β 940) - Search and download Copernicus Sentinel satellite images. <code><a href="http://bit.ly/2M0xdwT">βοΈGPL-3.0</a></code> +- <b><a href="https://github.com/DenisCarriere/geocoder">Geocoder</a></b> (π₯31 Β· β 1.6K Β· π) - Python Geocoder. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> +- <b><a href="https://github.com/sentinelsat/sentinelsat">Sentinelsat</a></b> (π₯25 Β· β 950) - Search and download Copernicus Sentinel satellite images. <code><a href="http://bit.ly/2M0xdwT">βοΈGPL-3.0</a></code> - <b><a href="https://github.com/pbugnion/gmaps">gmaps</a></b> (π₯24 Β· β 760 Β· π) - Google maps for Jupyter notebooks. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1E" style="display:inline;" width="13" height="13"></code> - <b><a href="https://github.com/mapbox/mapboxgl-jupyter">Mapbox GL</a></b> (π₯24 Β· β 650 Β· π) - Use Mapbox GL JS to visualize data in a Python Jupyter notebook. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1E" style="display:inline;" width="13" height="13"></code> - <b><a href="https://github.com/marceloprates/prettymaps">prettymaps</a></b> (π₯22 Β· β 11K Β· π€) - A small set of Python functions to draw pretty maps from.. <code><a href="http://bit.ly/3pwmjO5">βοΈAGPL-3.0</a></code> @@ -3621,36 +3685,20 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te <details><summary><b><a href="https://github.com/ranaroussi/yfinance">yfinance</a></b> (π₯40 Β· β 11K) - Download market data from Yahoo! Finances API. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> -- [GitHub](https://github.com/ranaroussi/yfinance) (π¨βπ» 110 Β· π 2.1K Β· π¦ 32K Β· π 1.2K - 14% open Β· β±οΈ 21.01.2024): +- [GitHub](https://github.com/ranaroussi/yfinance) (π¨βπ» 110 Β· π 2.1K Β· π¦ 33K Β· π 1.2K - 14% open Β· β±οΈ 21.01.2024): ``` git clone https://github.com/ranaroussi/yfinance ``` -- [PyPi](https://pypi.org/project/yfinance) (π₯ 1.3M / month Β· π¦ 310 Β· β±οΈ 21.01.2024): +- [PyPi](https://pypi.org/project/yfinance) (π₯ 1.4M / month Β· π¦ 320 Β· β±οΈ 21.01.2024): ``` pip install yfinance ``` -- [Conda](https://anaconda.org/ranaroussi/yfinance) (π₯ 85K Β· β±οΈ 16.06.2023): +- [Conda](https://anaconda.org/ranaroussi/yfinance) (π₯ 86K Β· β±οΈ 16.06.2023): ``` conda install -c ranaroussi yfinance ``` </details> -<details><summary><b><a href="https://github.com/bukosabino/ta">ta</a></b> (π₯31 Β· β 3.9K) - Technical Analysis Library using Pandas and Numpy. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> - -- [GitHub](https://github.com/bukosabino/ta) (π¨βπ» 34 Β· π 820 Β· π¦ 2.9K Β· π 230 - 54% open Β· β±οΈ 02.11.2023): - - ``` - git clone https://github.com/bukosabino/ta - ``` -- [PyPi](https://pypi.org/project/ta) (π₯ 73K / month Β· π¦ 50 Β· β±οΈ 02.11.2023): - ``` - pip install ta - ``` -- [Conda](https://anaconda.org/conda-forge/ta) (π₯ 23K Β· β±οΈ 02.11.2023): - ``` - conda install -c conda-forge ta - ``` -</details> <details><summary><b><a href="https://github.com/pmorissette/bt">bt</a></b> (π₯30 Β· β 1.9K) - bt - flexible backtesting for Python. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> - [GitHub](https://github.com/pmorissette/bt) (π¨βπ» 31 Β· π 430 Β· π¦ 1.6K Β· π 340 - 24% open Β· β±οΈ 11.12.2023): @@ -3658,7 +3706,7 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te ``` git clone https://github.com/pmorissette/bt ``` -- [PyPi](https://pypi.org/project/bt) (π₯ 6K / month Β· π¦ 28 Β· β±οΈ 20.11.2023): +- [PyPi](https://pypi.org/project/bt) (π₯ 6.7K / month Β· π¦ 28 Β· β±οΈ 20.11.2023): ``` pip install bt ``` @@ -3690,7 +3738,7 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te ``` git clone https://github.com/microsoft/qlib ``` -- [PyPi](https://pypi.org/project/pyqlib) (π₯ 1.4K / month Β· π¦ 1 Β· β±οΈ 18.07.2023): +- [PyPi](https://pypi.org/project/pyqlib) (π₯ 1.3K / month Β· π¦ 1 Β· β±οΈ 18.07.2023): ``` pip install pyqlib ``` @@ -3702,15 +3750,31 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te ``` git clone https://github.com/RomelTorres/alpha_vantage ``` -- [PyPi](https://pypi.org/project/alpha_vantage) (π₯ 23K / month Β· π¦ 32 Β· β±οΈ 21.12.2020): +- [PyPi](https://pypi.org/project/alpha_vantage) (π₯ 26K / month Β· π¦ 32 Β· β±οΈ 21.12.2020): ``` pip install alpha_vantage ``` -- [Conda](https://anaconda.org/conda-forge/alpha_vantage) (π₯ 6.2K Β· β±οΈ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/alpha_vantage) (π₯ 6.3K Β· β±οΈ 16.06.2023): ``` conda install -c conda-forge alpha_vantage ``` </details> +<details><summary><b><a href="https://github.com/bukosabino/ta">ta</a></b> (π₯28 Β· β 3.9K Β· π) - Technical Analysis Library using Pandas and Numpy. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> + +- [GitHub](https://github.com/bukosabino/ta) (π¨βπ» 34 Β· π 810 Β· π¦ 3K Β· π 210 - 50% open Β· β±οΈ 02.11.2023): + + ``` + git clone https://github.com/bukosabino/ta + ``` +- [PyPi](https://pypi.org/project/ta) (π₯ 74K / month): + ``` + pip install ta + ``` +- [Conda](https://anaconda.org/conda-forge/ta) (π₯ 23K Β· β±οΈ 02.11.2023): + ``` + conda install -c conda-forge ta + ``` +</details> <details><summary><b><a href="https://github.com/erdewit/ib_insync">IB-insync</a></b> (π₯27 Β· β 2.6K) - Python sync/async framework for Interactive Brokers API. <code><a href="http://bit.ly/3rqEWVr">BSD-2</a></code></summary> - [GitHub](https://github.com/erdewit/ib_insync) (π¨βπ» 36 Β· π 600 Β· π 580 - 3% open Β· β±οΈ 11.12.2023): @@ -3718,7 +3782,7 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te ``` git clone https://github.com/erdewit/ib_insync ``` -- [PyPi](https://pypi.org/project/ib_insync) (π₯ 30K / month Β· π¦ 28 Β· β±οΈ 21.11.2022): +- [PyPi](https://pypi.org/project/ib_insync) (π₯ 32K / month Β· π¦ 28 Β· β±οΈ 21.11.2022): ``` pip install ib_insync ``` @@ -3727,50 +3791,38 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te conda install -c conda-forge ib-insync ``` </details> -<details><summary><b><a href="https://github.com/gbeced/pyalgotrade">PyAlgoTrade</a></b> (π₯25 Β· β 4.2K Β· π€) - Python Algorithmic Trading Library. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> +<details><summary><b><a href="https://github.com/gbeced/pyalgotrade">PyAlgoTrade</a></b> (π₯24 Β· β 4.2K Β· π€) - Python Algorithmic Trading Library. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> - [GitHub](https://github.com/gbeced/pyalgotrade) (π¨βπ» 11 Β· π 1.4K Β· π¦ 180 Β· β±οΈ 05.03.2023): ``` git clone https://github.com/gbeced/pyalgotrade ``` -- [PyPi](https://pypi.org/project/pyalgotrade) (π₯ 550 / month Β· π¦ 21 Β· β±οΈ 21.08.2018): +- [PyPi](https://pypi.org/project/pyalgotrade) (π₯ 560 / month Β· π¦ 21 Β· β±οΈ 21.08.2018): ``` pip install pyalgotrade ``` </details> -<details><summary><b><a href="https://github.com/jealous/stockstats">stockstats</a></b> (π₯25 Β· β 1.2K) - Supply a wrapper ``StockDataFrame`` based on the.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary> - -- [GitHub](https://github.com/jealous/stockstats) (π¨βπ» 10 Β· π 290 Β· π¦ 980 Β· π 120 - 9% open Β· β±οΈ 05.01.2024): - - ``` - git clone https://github.com/jealous/stockstats - ``` -- [PyPi](https://pypi.org/project/stockstats) (π₯ 9.4K / month Β· π¦ 30 Β· β±οΈ 30.07.2023): - ``` - pip install stockstats - ``` -</details> -<details><summary><b><a href="https://github.com/fmilthaler/FinQuant">FinQuant</a></b> (π₯24 Β· β 1.2K) - A program for financial portfolio management, analysis and optimisation. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> +<details><summary><b><a href="https://github.com/fmilthaler/FinQuant">FinQuant</a></b> (π₯23 Β· β 1.2K) - A program for financial portfolio management, analysis and optimisation. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> - [GitHub](https://github.com/fmilthaler/FinQuant) (π¨βπ» 11 Β· π 170 Β· π¦ 88 Β· π 48 - 33% open Β· β±οΈ 03.09.2023): ``` git clone https://github.com/fmilthaler/FinQuant ``` -- [PyPi](https://pypi.org/project/FinQuant) (π₯ 460 / month Β· β±οΈ 04.09.2023): +- [PyPi](https://pypi.org/project/FinQuant) (π₯ 530 / month Β· β±οΈ 04.09.2023): ``` pip install FinQuant ``` </details> <details><summary><b><a href="https://github.com/cuemacro/finmarketpy">finmarketpy</a></b> (π₯22 Β· β 3.3K) - Python library for backtesting trading strategies & analyzing.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> -- [GitHub](https://github.com/cuemacro/finmarketpy) (π¨βπ» 14 Β· π 500 Β· π₯ 49 Β· π¦ 11 Β· π 28 - 85% open Β· β±οΈ 01.01.2024): +- [GitHub](https://github.com/cuemacro/finmarketpy) (π¨βπ» 14 Β· π 500 Β· π₯ 51 Β· π¦ 11 Β· π 28 - 85% open Β· β±οΈ 01.01.2024): ``` git clone https://github.com/cuemacro/finmarketpy ``` -- [PyPi](https://pypi.org/project/finmarketpy) (π₯ 280 / month Β· β±οΈ 01.01.2024): +- [PyPi](https://pypi.org/project/finmarketpy) (π₯ 250 / month Β· β±οΈ 01.01.2024): ``` pip install finmarketpy ``` @@ -3782,12 +3834,12 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te ``` git clone https://github.com/google/tf-quant-finance ``` -- [PyPi](https://pypi.org/project/tf-quant-finance) (π₯ 580 / month Β· π¦ 2 Β· β±οΈ 19.08.2022): +- [PyPi](https://pypi.org/project/tf-quant-finance) (π₯ 650 / month Β· π¦ 2 Β· β±οΈ 19.08.2022): ``` pip install tf-quant-finance ``` </details> -<details><summary>Show 13 hidden projects...</summary> +<details><summary>Show 14 hidden projects...</summary> - <b><a href="https://github.com/quantopian/zipline">zipline</a></b> (π₯33 Β· β 17K Β· π) - Zipline, a Pythonic Algorithmic Trading Library. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> - <b><a href="https://github.com/quantopian/pyfolio">pyfolio</a></b> (π₯32 Β· β 5.3K Β· π) - Portfolio and risk analytics in Python. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> @@ -3799,7 +3851,8 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te - <b><a href="https://github.com/scrtlabs/catalyst">Enigma Catalyst</a></b> (π₯25 Β· β 2.5K Β· π) - An Algorithmic Trading Library for Crypto-Assets in.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> - <b><a href="https://github.com/CryptoSignal/Crypto-Signal">Crypto Signals</a></b> (π₯23 Β· β 4.6K Β· π) - Github.com/CryptoSignal - Trading & Technical Analysis Bot -.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> - <b><a href="https://github.com/peerchemist/finta">FinTA</a></b> (π₯23 Β· β 2K Β· π) - Common financial technical indicators implemented in Pandas. <code><a href="http://bit.ly/37RvQcA">βοΈLGPL-3.0</a></code> -- <b><a href="https://github.com/kernc/backtesting.py">Backtesting.py</a></b> (π₯22 Β· β 4.5K Β· π€) - Backtest trading strategies in Python. <code><a href="http://bit.ly/3pwmjO5">βοΈAGPL-3.0</a></code> +- <b><a href="https://github.com/jealous/stockstats">stockstats</a></b> (π₯23 Β· β 1.2K) - Supply a wrapper ``StockDataFrame`` based on the.. <code>βUnlicensed</code> +- <b><a href="https://github.com/kernc/backtesting.py">Backtesting.py</a></b> (π₯22 Β· β 4.5K Β· π) - Backtest trading strategies in Python. <code><a href="http://bit.ly/3pwmjO5">βοΈAGPL-3.0</a></code> - <b><a href="https://github.com/tradytics/surpriver">surpriver</a></b> (π₯12 Β· β 1.7K Β· π) - Find big moving stocks before they move using machine.. <code><a href="http://bit.ly/2M0xdwT">βοΈGPL-3.0</a></code> - <b><a href="https://github.com/alvarobartt/pyrtfolio">pyrtfolio</a></b> (π₯8 Β· β 140 Β· π) - Python package to generate stock portfolios. <code><a href="http://bit.ly/2M0xdwT">βοΈGPL-3.0</a></code> </details> @@ -3813,16 +3866,16 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l <details><summary><b><a href="https://github.com/sktime/sktime">sktime</a></b> (π₯39 Β· β 7.2K) - A unified framework for machine learning with time series. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/sktime/sktime) (π¨βπ» 320 Β· π 1.2K Β· π₯ 84 Β· π¦ 2.1K Β· π 2.1K - 36% open Β· β±οΈ 24.01.2024): +- [GitHub](https://github.com/sktime/sktime) (π¨βπ» 320 Β· π 1.2K Β· π₯ 84 Β· π¦ 2.1K Β· π 2.1K - 36% open Β· β±οΈ 30.01.2024): ``` git clone https://github.com/alan-turing-institute/sktime ``` -- [PyPi](https://pypi.org/project/sktime) (π₯ 650K / month Β· π¦ 59 Β· β±οΈ 27.12.2023): +- [PyPi](https://pypi.org/project/sktime) (π₯ 710K / month Β· π¦ 60 Β· β±οΈ 27.01.2024): ``` pip install sktime ``` -- [Conda](https://anaconda.org/conda-forge/sktime-all-extras) (π₯ 930K Β· β±οΈ 27.12.2023): +- [Conda](https://anaconda.org/conda-forge/sktime-all-extras) (π₯ 930K Β· β±οΈ 27.01.2024): ``` conda install -c conda-forge sktime-all-extras ``` @@ -3834,7 +3887,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` git clone https://github.com/facebook/prophet ``` -- [PyPi](https://pypi.org/project/fbprophet) (π₯ 780K / month Β· π¦ 130 Β· β±οΈ 05.09.2020): +- [PyPi](https://pypi.org/project/fbprophet) (π₯ 800K / month Β· π¦ 130 Β· β±οΈ 05.09.2020): ``` pip install fbprophet ``` @@ -3843,30 +3896,30 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l conda install -c conda-forge prophet ``` </details> -<details><summary><b><a href="https://github.com/Nixtla/statsforecast">StatsForecast</a></b> (π₯33 Β· β 3.3K) - Lightning fast forecasting with statistical and econometric.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> +<details><summary><b><a href="https://github.com/Nixtla/statsforecast">StatsForecast</a></b> (π₯34 Β· β 3.4K) - Lightning fast forecasting with statistical and econometric.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> -- [GitHub](https://github.com/Nixtla/statsforecast) (π¨βπ» 37 Β· π 220 Β· π¦ 680 Β· π 290 - 32% open Β· β±οΈ 24.01.2024): +- [GitHub](https://github.com/Nixtla/statsforecast) (π¨βπ» 37 Β· π 220 Β· π¦ 690 Β· π 270 - 27% open Β· β±οΈ 31.01.2024): ``` git clone https://github.com/Nixtla/statsforecast ``` -- [PyPi](https://pypi.org/project/statsforecast) (π₯ 440K / month Β· π¦ 26 Β· β±οΈ 05.01.2024): +- [PyPi](https://pypi.org/project/statsforecast) (π₯ 460K / month): ``` pip install statsforecast ``` -- [Conda](https://anaconda.org/conda-forge/statsforecast) (π₯ 57K Β· β±οΈ 05.01.2024): +- [Conda](https://anaconda.org/conda-forge/statsforecast) (π₯ 58K Β· β±οΈ 01.02.2024): ``` conda install -c conda-forge statsforecast ``` </details> -<details><summary><b><a href="https://github.com/tslearn-team/tslearn">tslearn</a></b> (π₯33 Β· β 2.7K) - The machine learning toolkit for time series analysis in Python. <code><a href="http://bit.ly/3rqEWVr">BSD-2</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code></summary> +<details><summary><b><a href="https://github.com/tslearn-team/tslearn">tslearn</a></b> (π₯32 Β· β 2.7K) - The machine learning toolkit for time series analysis in Python. <code><a href="http://bit.ly/3rqEWVr">BSD-2</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code></summary> - [GitHub](https://github.com/tslearn-team/tslearn) (π¨βπ» 43 Β· π 320 Β· π¦ 1.1K Β· π 320 - 39% open Β· β±οΈ 19.01.2024): ``` git clone https://github.com/tslearn-team/tslearn ``` -- [PyPi](https://pypi.org/project/tslearn) (π₯ 260K / month Β· π¦ 49 Β· β±οΈ 12.12.2023): +- [PyPi](https://pypi.org/project/tslearn) (π₯ 300K / month Β· π¦ 49 Β· β±οΈ 12.12.2023): ``` pip install tslearn ``` @@ -3875,110 +3928,110 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l conda install -c conda-forge tslearn ``` </details> -<details><summary><b><a href="https://github.com/unit8co/darts">Darts</a></b> (π₯32 Β· β 6.9K) - A python library for user-friendly forecasting and anomaly detection.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> +<details><summary><b><a href="https://github.com/alkaline-ml/pmdarima">pmdarima</a></b> (π₯32 Β· β 1.5K) - A statistical library designed to fill the void in Pythons time series.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> -- [GitHub](https://github.com/unit8co/darts) (π¨βπ» 110 Β· π 770 Β· π¦ 500 Β· π 1.3K - 17% open Β· β±οΈ 21.01.2024): +- [GitHub](https://github.com/alkaline-ml/pmdarima) (π¨βπ» 22 Β· π 230 Β· π¦ 7.2K Β· π 320 - 15% open Β· β±οΈ 23.10.2023): ``` - git clone https://github.com/unit8co/darts - ``` -- [PyPi](https://pypi.org/project/u8darts) (π₯ 19K / month Β· π¦ 5 Β· β±οΈ 21.01.2024): - ``` - pip install u8darts + git clone https://github.com/alkaline-ml/pmdarima ``` -- [Conda](https://anaconda.org/conda-forge/u8darts-all) (π₯ 39K Β· β±οΈ 21.01.2024): +- [PyPi](https://pypi.org/project/pmdarima) (π₯ 1.9M / month Β· π¦ 89 Β· β±οΈ 23.10.2023): ``` - conda install -c conda-forge u8darts-all + pip install pmdarima ``` -- [Docker Hub](https://hub.docker.com/r/unit8/darts) (π₯ 510 Β· β±οΈ 21.01.2024): +- [Conda](https://anaconda.org/conda-forge/pmdarima) (π₯ 1M Β· β±οΈ 27.10.2023): ``` - docker pull unit8/darts + conda install -c conda-forge pmdarima ``` </details> -<details><summary><b><a href="https://github.com/alkaline-ml/pmdarima">pmdarima</a></b> (π₯32 Β· β 1.5K) - A statistical library designed to fill the void in Pythons time series.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> +<details><summary><b><a href="https://github.com/blue-yonder/tsfresh">tsfresh</a></b> (π₯31 Β· β 8K) - Automatic extraction of relevant features from time series:. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/alkaline-ml/pmdarima) (π¨βπ» 22 Β· π 230 Β· π¦ 7.1K Β· π 320 - 15% open Β· β±οΈ 23.10.2023): +- [GitHub](https://github.com/blue-yonder/tsfresh) (π¨βπ» 92 Β· π 1.2K Β· π¦ 21 Β· π 530 - 11% open Β· β±οΈ 28.01.2024): ``` - git clone https://github.com/alkaline-ml/pmdarima + git clone https://github.com/blue-yonder/tsfresh ``` -- [PyPi](https://pypi.org/project/pmdarima) (π₯ 1.9M / month Β· π¦ 89 Β· β±οΈ 23.10.2023): +- [PyPi](https://pypi.org/project/tsfresh) (π₯ 210K / month Β· π¦ 77 Β· β±οΈ 28.01.2024): ``` - pip install pmdarima + pip install tsfresh ``` -- [Conda](https://anaconda.org/conda-forge/pmdarima) (π₯ 1M Β· β±οΈ 27.10.2023): +- [Conda](https://anaconda.org/conda-forge/tsfresh) (π₯ 1.3M Β· β±οΈ 28.01.2024): ``` - conda install -c conda-forge pmdarima + conda install -c conda-forge tsfresh ``` </details> -<details><summary><b><a href="https://github.com/ourownstory/neural_prophet">NeuralProphet</a></b> (π₯31 Β· β 3.5K) - NeuralProphet: A simple forecasting package. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> +<details><summary><b><a href="https://github.com/unit8co/darts">Darts</a></b> (π₯31 Β· β 6.9K) - A python library for user-friendly forecasting and anomaly detection.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> -- [GitHub](https://github.com/ourownstory/neural_prophet) (π¨βπ» 51 Β· π 450 Β· π¦ 360 Β· π 500 - 8% open Β· β±οΈ 17.01.2024): +- [GitHub](https://github.com/unit8co/darts) (π¨βπ» 110 Β· π 770 Β· π¦ 500 Β· π 1.3K - 17% open Β· β±οΈ 29.01.2024): ``` - git clone https://github.com/ourownstory/neural_prophet + git clone https://github.com/unit8co/darts ``` -- [PyPi](https://pypi.org/project/neuralprophet) (π₯ 89K / month Β· π¦ 5 Β· β±οΈ 11.12.2023): +- [PyPi](https://pypi.org/project/u8darts) (π₯ 21K / month Β· π¦ 5 Β· β±οΈ 21.01.2024): ``` - pip install neuralprophet + pip install u8darts + ``` +- [Conda](https://anaconda.org/conda-forge/u8darts-all) (π₯ 40K Β· β±οΈ 21.01.2024): + ``` + conda install -c conda-forge u8darts-all + ``` +- [Docker Hub](https://hub.docker.com/r/unit8/darts) (π₯ 510 Β· β±οΈ 21.01.2024): + ``` + docker pull unit8/darts ``` </details> -<details><summary><b><a href="https://github.com/TDAmeritrade/stumpy">STUMPY</a></b> (π₯31 Β· β 2.9K) - STUMPY is a powerful and scalable Python library for modern time series.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary> +<details><summary><b><a href="https://github.com/ourownstory/neural_prophet">NeuralProphet</a></b> (π₯31 Β· β 3.5K) - NeuralProphet: A simple forecasting package. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/TDAmeritrade/stumpy) (π¨βπ» 36 Β· π 270 Β· π¦ 630 Β· π 460 - 11% open Β· β±οΈ 16.01.2024): +- [GitHub](https://github.com/ourownstory/neural_prophet) (π¨βπ» 51 Β· π 450 Β· π¦ 360 Β· π 510 - 8% open Β· β±οΈ 17.01.2024): ``` - git clone https://github.com/TDAmeritrade/stumpy - ``` -- [PyPi](https://pypi.org/project/stumpy) (π₯ 190K / month Β· π¦ 16 Β· β±οΈ 21.08.2023): - ``` - pip install stumpy + git clone https://github.com/ourownstory/neural_prophet ``` -- [Conda](https://anaconda.org/conda-forge/stumpy) (π₯ 960K Β· β±οΈ 21.08.2023): +- [PyPi](https://pypi.org/project/neuralprophet) (π₯ 82K / month Β· π¦ 5 Β· β±οΈ 11.12.2023): ``` - conda install -c conda-forge stumpy + pip install neuralprophet ``` </details> <details><summary><b><a href="https://github.com/awslabs/gluonts">GluonTS</a></b> (π₯30 Β· β 4K) - Probabilistic time series modeling in Python. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1X" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/awslabs/gluonts) (π¨βπ» 110 Β· π 750 Β· π 920 - 31% open Β· β±οΈ 15.01.2024): +- [GitHub](https://github.com/awslabs/gluonts) (π¨βπ» 110 Β· π 750 Β· π 920 - 32% open Β· β±οΈ 15.01.2024): ``` git clone https://github.com/awslabs/gluon-ts ``` -- [PyPi](https://pypi.org/project/gluonts) (π₯ 160K / month Β· π¦ 16 Β· β±οΈ 07.12.2023): +- [PyPi](https://pypi.org/project/gluonts) (π₯ 190K / month Β· π¦ 16 Β· β±οΈ 07.12.2023): ``` pip install gluonts ``` -- [Conda](https://anaconda.org/anaconda/gluonts) (π₯ 700 Β· β±οΈ 22.12.2023): +- [Conda](https://anaconda.org/anaconda/gluonts) (π₯ 710 Β· β±οΈ 22.12.2023): ``` conda install -c anaconda gluonts ``` </details> -<details><summary><b><a href="https://github.com/blue-yonder/tsfresh">tsfresh</a></b> (π₯29 Β· β 8K) - Automatic extraction of relevant features from time series:. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code></summary> +<details><summary><b><a href="https://github.com/TDAmeritrade/stumpy">STUMPY</a></b> (π₯30 Β· β 2.9K) - STUMPY is a powerful and scalable Python library for modern time series.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary> -- [GitHub](https://github.com/blue-yonder/tsfresh) (π¨βπ» 91 Β· π 1.2K Β· π¦ 21 Β· π 530 - 11% open Β· β±οΈ 24.10.2023): +- [GitHub](https://github.com/TDAmeritrade/stumpy) (π¨βπ» 36 Β· π 270 Β· π¦ 630 Β· π 460 - 11% open Β· β±οΈ 26.01.2024): ``` - git clone https://github.com/blue-yonder/tsfresh + git clone https://github.com/TDAmeritrade/stumpy ``` -- [PyPi](https://pypi.org/project/tsfresh) (π₯ 200K / month Β· π¦ 77 Β· β±οΈ 14.06.2023): +- [PyPi](https://pypi.org/project/stumpy) (π₯ 200K / month Β· π¦ 16 Β· β±οΈ 21.08.2023): ``` - pip install tsfresh + pip install stumpy ``` -- [Conda](https://anaconda.org/conda-forge/tsfresh) (π₯ 1.3M Β· β±οΈ 30.07.2023): +- [Conda](https://anaconda.org/conda-forge/stumpy) (π₯ 960K Β· β±οΈ 21.08.2023): ``` - conda install -c conda-forge tsfresh + conda install -c conda-forge stumpy ``` </details> -<details><summary><b><a href="https://github.com/Nixtla/neuralforecast">NeuralForecast</a></b> (π₯29 Β· β 2.1K) - Scalable and user friendly neural forecasting algorithms. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> +<details><summary><b><a href="https://github.com/Nixtla/neuralforecast">NeuralForecast</a></b> (π₯30 Β· β 2.1K) - Scalable and user friendly neural forecasting algorithms. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> -- [GitHub](https://github.com/Nixtla/neuralforecast) (π¨βπ» 35 Β· π 240 Β· π¦ 100 Β· π 400 - 22% open Β· β±οΈ 25.01.2024): +- [GitHub](https://github.com/Nixtla/neuralforecast) (π¨βπ» 35 Β· π 250 Β· π¦ 100 Β· π 400 - 23% open Β· β±οΈ 30.01.2024): ``` git clone https://github.com/Nixtla/neuralforecast ``` -- [PyPi](https://pypi.org/project/neuralforecast) (π₯ 11K / month Β· π¦ 5 Β· β±οΈ 05.10.2023): +- [PyPi](https://pypi.org/project/neuralforecast) (π₯ 12K / month Β· π¦ 5 Β· β±οΈ 05.10.2023): ``` pip install neuralforecast ``` @@ -3989,12 +4042,12 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l </details> <details><summary><b><a href="https://github.com/jdb78/pytorch-forecasting">pytorch-forecasting</a></b> (π₯28 Β· β 3.4K) - Time series forecasting with PyTorch. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> -- [GitHub](https://github.com/jdb78/pytorch-forecasting) (π¨βπ» 43 Β· π 540 Β· π 710 - 60% open Β· β±οΈ 04.12.2023): +- [GitHub](https://github.com/jdb78/pytorch-forecasting) (π¨βπ» 43 Β· π 550 Β· π 750 - 62% open Β· β±οΈ 04.12.2023): ``` git clone https://github.com/jdb78/pytorch-forecasting ``` -- [PyPi](https://pypi.org/project/pytorch-forecasting) (π₯ 47K / month Β· π¦ 10 Β· β±οΈ 26.07.2020): +- [PyPi](https://pypi.org/project/pytorch-forecasting) (π₯ 54K / month Β· π¦ 10 Β· β±οΈ 26.07.2020): ``` pip install pytorch-forecasting ``` @@ -4003,37 +4056,37 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l conda install -c conda-forge pytorch-forecasting ``` </details> -<details><summary><b><a href="https://github.com/JoaquinAmatRodrigo/skforecast">skforecast</a></b> (π₯28 Β· β 790) - Time series forecasting with scikit-learn models. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code></summary> +<details><summary><b><a href="https://github.com/JoaquinAmatRodrigo/skforecast">skforecast</a></b> (π₯27 Β· β 800) - Time series forecasting with scikit-learn models. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/JoaquinAmatRodrigo/skforecast) (π¨βπ» 9 Β· π 96 Β· π¦ 230 Β· π 110 - 18% open Β· β±οΈ 31.12.2023): +- [GitHub](https://github.com/JoaquinAmatRodrigo/skforecast) (π¨βπ» 9 Β· π 96 Β· π¦ 240 Β· π 110 - 19% open Β· β±οΈ 31.12.2023): ``` git clone https://github.com/JoaquinAmatRodrigo/skforecast ``` -- [PyPi](https://pypi.org/project/skforecast) (π₯ 49K / month Β· π¦ 6 Β· β±οΈ 16.11.2023): +- [PyPi](https://pypi.org/project/skforecast) (π₯ 53K / month Β· π¦ 6 Β· β±οΈ 16.11.2023): ``` pip install skforecast ``` </details> <details><summary><b><a href="https://github.com/uber/orbit">uber/orbit</a></b> (π₯26 Β· β 1.8K) - A Python package for Bayesian forecasting with object-oriented.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> -- [GitHub](https://github.com/uber/orbit) (π¨βπ» 19 Β· π 130 Β· π¦ 44 Β· π 400 - 13% open Β· β±οΈ 22.01.2024): +- [GitHub](https://github.com/uber/orbit) (π¨βπ» 19 Β· π 130 Β· π¦ 45 Β· π 400 - 13% open Β· β±οΈ 22.01.2024): ``` git clone https://github.com/uber/orbit ``` -- [PyPi](https://pypi.org/project/orbit-ml) (π₯ 34K / month Β· π¦ 1 Β· β±οΈ 29.01.2023): +- [PyPi](https://pypi.org/project/orbit-ml) (π₯ 35K / month Β· π¦ 1 Β· β±οΈ 29.01.2023): ``` pip install orbit-ml ``` -- [Conda](https://anaconda.org/conda-forge/orbit-ml) (π₯ 4.8K Β· β±οΈ 19.12.2023): +- [Conda](https://anaconda.org/conda-forge/orbit-ml) (π₯ 4.9K Β· β±οΈ 19.12.2023): ``` conda install -c conda-forge orbit-ml ``` </details> -<details><summary><b><a href="https://github.com/johannfaouzi/pyts">pyts</a></b> (π₯26 Β· β 1.6K Β· π€) - A Python package for time series classification. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary> +<details><summary><b><a href="https://github.com/johannfaouzi/pyts">pyts</a></b> (π₯26 Β· β 1.7K Β· π€) - A Python package for time series classification. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary> -- [GitHub](https://github.com/johannfaouzi/pyts) (π¨βπ» 14 Β· π 160 Β· π¦ 530 Β· π 76 - 55% open Β· β±οΈ 20.06.2023): +- [GitHub](https://github.com/johannfaouzi/pyts) (π¨βπ» 14 Β· π 160 Β· π¦ 540 Β· π 76 - 55% open Β· β±οΈ 20.06.2023): ``` git clone https://github.com/johannfaouzi/pyts @@ -4047,38 +4100,38 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l conda install -c conda-forge pyts ``` </details> -<details><summary><b><a href="https://github.com/fraunhoferportugal/tsfel">TSFEL</a></b> (π₯23 Β· β 790) - An intuitive library to extract features from time series. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary> +<details><summary><b><a href="https://github.com/linkedin/greykite">greykite</a></b> (π₯22 Β· β 1.8K) - A flexible, intuitive and fast forecasting library. <code><a href="http://bit.ly/3rqEWVr">BSD-2</a></code></summary> -- [GitHub](https://github.com/fraunhoferportugal/tsfel) (π¨βπ» 18 Β· π 130 Β· π¦ 110 Β· π 69 - 7% open Β· β±οΈ 24.11.2023): +- [GitHub](https://github.com/linkedin/greykite) (π¨βπ» 10 Β· π 100 Β· π₯ 9 Β· π¦ 26 Β· π 100 - 22% open Β· β±οΈ 16.01.2024): ``` - git clone https://github.com/fraunhoferportugal/tsfel + git clone https://github.com/linkedin/greykite ``` -- [PyPi](https://pypi.org/project/tsfel) (π₯ 23K / month Β· β±οΈ 22.08.2023): +- [PyPi](https://pypi.org/project/greykite) (π₯ 12K / month): ``` - pip install tsfel + pip install greykite ``` </details> -<details><summary><b><a href="https://github.com/linkedin/greykite">greykite</a></b> (π₯22 Β· β 1.8K) - A flexible, intuitive and fast forecasting library. <code><a href="http://bit.ly/3rqEWVr">BSD-2</a></code></summary> +<details><summary><b><a href="https://github.com/fraunhoferportugal/tsfel">TSFEL</a></b> (π₯22 Β· β 790) - An intuitive library to extract features from time series. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary> -- [GitHub](https://github.com/linkedin/greykite) (π¨βπ» 10 Β· π 100 Β· π₯ 9 Β· π¦ 26 Β· π 100 - 25% open Β· β±οΈ 16.01.2024): +- [GitHub](https://github.com/fraunhoferportugal/tsfel) (π¨βπ» 18 Β· π 130 Β· π¦ 110 Β· π 69 - 7% open Β· β±οΈ 24.11.2023): ``` - git clone https://github.com/linkedin/greykite + git clone https://github.com/fraunhoferportugal/tsfel ``` -- [PyPi](https://pypi.org/project/greykite) (π₯ 11K / month Β· β±οΈ 12.01.2024): +- [PyPi](https://pypi.org/project/tsfel) (π₯ 23K / month Β· β±οΈ 22.08.2023): ``` - pip install greykite + pip install tsfel ``` </details> -<details><summary><b><a href="https://github.com/X-DataInitiative/tick">tick</a></b> (π₯22 Β· β 450 Β· π€) - Module for statistical learning, with a particular emphasis on time-.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary> +<details><summary><b><a href="https://github.com/X-DataInitiative/tick">tick</a></b> (π₯22 Β· β 460 Β· π€) - Module for statistical learning, with a particular emphasis on time-.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary> - [GitHub](https://github.com/X-DataInitiative/tick) (π¨βπ» 19 Β· π 96 Β· π₯ 300 Β· π¦ 74 Β· π 240 - 28% open Β· β±οΈ 05.03.2023): ``` git clone https://github.com/X-DataInitiative/tick ``` -- [PyPi](https://pypi.org/project/tick) (π₯ 1.2K / month Β· π¦ 2 Β· β±οΈ 24.05.2020): +- [PyPi](https://pypi.org/project/tick) (π₯ 1.3K / month Β· π¦ 2 Β· β±οΈ 24.05.2020): ``` pip install tick ``` @@ -4090,19 +4143,19 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` git clone https://github.com/linkedin/luminol ``` -- [PyPi](https://pypi.org/project/luminol) (π₯ 7.4K / month Β· π¦ 15 Β· β±οΈ 11.12.2017): +- [PyPi](https://pypi.org/project/luminol) (π₯ 7.9K / month Β· π¦ 15 Β· β±οΈ 11.12.2017): ``` pip install luminol ``` </details> -<details><summary><b><a href="https://github.com/AutoViML/Auto_TS">Auto TS</a></b> (π₯19 Β· β 660) - Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> +<details><summary><b><a href="https://github.com/AutoViML/Auto_TS">Auto TS</a></b> (π₯20 Β· β 660) - Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> -- [GitHub](https://github.com/AutoViML/Auto_TS) (π¨βπ» 11 Β· π 110 Β· β±οΈ 03.12.2023): +- [GitHub](https://github.com/AutoViML/Auto_TS) (π¨βπ» 12 Β· π 110 Β· β±οΈ 28.01.2024): ``` git clone https://github.com/AutoViML/Auto_TS ``` -- [PyPi](https://pypi.org/project/auto-ts) (π₯ 3.6K / month Β· β±οΈ 03.12.2023): +- [PyPi](https://pypi.org/project/auto-ts) (π₯ 3.8K / month Β· β±οΈ 28.01.2024): ``` pip install auto-ts ``` @@ -4119,14 +4172,14 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l pip install pydlm ``` </details> -<details><summary><b><a href="https://github.com/predict-idlab/tsflex">tsflex</a></b> (π₯18 Β· β 340) - Flexible time series feature extraction & processing. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> +<details><summary><b><a href="https://github.com/predict-idlab/tsflex">tsflex</a></b> (π₯18 Β· β 350) - Flexible time series feature extraction & processing. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> -- [GitHub](https://github.com/predict-idlab/tsflex) (π¨βπ» 6 Β· π 23 Β· π¦ 11 Β· π 46 - 58% open Β· β±οΈ 04.10.2023): +- [GitHub](https://github.com/predict-idlab/tsflex) (π¨βπ» 6 Β· π 24 Β· π¦ 11 Β· π 46 - 58% open Β· β±οΈ 04.10.2023): ``` git clone https://github.com/predict-idlab/tsflex ``` -- [PyPi](https://pypi.org/project/tsflex) (π₯ 240 / month Β· β±οΈ 11.10.2022): +- [PyPi](https://pypi.org/project/tsflex) (π₯ 280 / month Β· β±οΈ 11.10.2022): ``` pip install tsflex ``` @@ -4142,8 +4195,8 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l - <b><a href="https://github.com/arundo/adtk">ADTK</a></b> (π₯20 Β· β 1K Β· π) - A Python toolkit for rule-based/unsupervised anomaly detection in time.. <code><a href="http://bit.ly/3postzC">MPL-2.0</a></code> - <b><a href="https://github.com/dmbee/seglearn">seglearn</a></b> (π₯20 Β· β 560 Β· π) - Python module for machine learning time series:. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> - <b><a href="https://github.com/target/matrixprofile-ts">matrixprofile-ts</a></b> (π₯19 Β· β 720 Β· π) - A Python library for detecting patterns and anomalies.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> -- <b><a href="https://github.com/arundo/tsaug">tsaug</a></b> (π₯13 Β· β 330 Β· π) - A Python package for time series augmentation. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> -- <b><a href="https://github.com/firmai/atspy">atspy</a></b> (π₯11 Β· β 500 Β· π) - AtsPy: Automated Time Series Models in Python (by @firmai). <code>βUnlicensed</code> +- <b><a href="https://github.com/firmai/atspy">atspy</a></b> (π₯14 Β· β 500 Β· π) - AtsPy: Automated Time Series Models in Python (by @firmai). <code><a href="http://bit.ly/34MBwT8">MIT</a></code> +- <b><a href="https://github.com/arundo/tsaug">tsaug</a></b> (π₯14 Β· β 330 Β· π) - A Python package for time series augmentation. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> - <b><a href="https://github.com/hsbc/tslumen">tslumen</a></b> (π₯8 Β· β 56 Β· π) - A library for Time Series EDA (exploratory data analysis). <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> </details> <br> @@ -4154,14 +4207,14 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic data, and other medical imaging formats._ -<details><summary><b><a href="https://github.com/mne-tools/mne-python">MNE</a></b> (π₯38 Β· β 2.4K) - MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary> +<details><summary><b><a href="https://github.com/mne-tools/mne-python">MNE</a></b> (π₯38 Β· β 2.5K) - MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary> -- [GitHub](https://github.com/mne-tools/mne-python) (π¨βπ» 360 Β· π 1.3K Β· π¦ 3.4K Β· π 4.7K - 10% open Β· β±οΈ 25.01.2024): +- [GitHub](https://github.com/mne-tools/mne-python) (π¨βπ» 360 Β· π 1.3K Β· π¦ 3.4K Β· π 4.7K - 10% open Β· β±οΈ 30.01.2024): ``` git clone https://github.com/mne-tools/mne-python ``` -- [PyPi](https://pypi.org/project/mne) (π₯ 94K / month Β· π¦ 290 Β· β±οΈ 16.01.2024): +- [PyPi](https://pypi.org/project/mne) (π₯ 100K / month Β· π¦ 290 Β· β±οΈ 16.01.2024): ``` pip install mne ``` @@ -4172,12 +4225,12 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic </details> <details><summary><b><a href="https://github.com/Project-MONAI/MONAI">MONAI</a></b> (π₯36 Β· β 5K) - AI Toolkit for Healthcare Imaging. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/Project-MONAI/MONAI) (π¨βπ» 180 Β· π 920 Β· π¦ 1.7K Β· π 2.9K - 9% open Β· β±οΈ 25.01.2024): +- [GitHub](https://github.com/Project-MONAI/MONAI) (π¨βπ» 180 Β· π 920 Β· π¦ 1.8K Β· π 2.9K - 9% open Β· β±οΈ 01.02.2024): ``` git clone https://github.com/Project-MONAI/MONAI ``` -- [PyPi](https://pypi.org/project/monai) (π₯ 130K / month Β· π¦ 51 Β· β±οΈ 12.10.2023): +- [PyPi](https://pypi.org/project/monai) (π₯ 120K / month Β· π¦ 52 Β· β±οΈ 12.10.2023): ``` pip install monai ``` @@ -4188,16 +4241,16 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic </details> <details><summary><b><a href="https://github.com/nilearn/nilearn">Nilearn</a></b> (π₯35 Β· β 1.1K) - Machine learning for NeuroImaging in Python. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/nilearn/nilearn) (π¨βπ» 230 Β· π 540 Β· π₯ 150 Β· π¦ 2.8K Β· π 2K - 14% open Β· β±οΈ 22.01.2024): +- [GitHub](https://github.com/nilearn/nilearn) (π¨βπ» 230 Β· π 540 Β· π₯ 150 Β· π¦ 2.8K Β· π 2K - 14% open Β· β±οΈ 01.02.2024): ``` git clone https://github.com/nilearn/nilearn ``` -- [PyPi](https://pypi.org/project/nilearn) (π₯ 43K / month Β· π¦ 290 Β· β±οΈ 29.09.2023): +- [PyPi](https://pypi.org/project/nilearn) (π₯ 49K / month Β· π¦ 290 Β· β±οΈ 29.01.2024): ``` pip install nilearn ``` -- [Conda](https://anaconda.org/conda-forge/nilearn) (π₯ 260K Β· β±οΈ 02.10.2023): +- [Conda](https://anaconda.org/conda-forge/nilearn) (π₯ 260K Β· β±οΈ 29.01.2024): ``` conda install -c conda-forge nilearn ``` @@ -4209,23 +4262,23 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic ``` git clone https://github.com/nipy/nibabel ``` -- [PyPi](https://pypi.org/project/nibabel) (π₯ 380K / month Β· π¦ 1.2K Β· β±οΈ 11.12.2023): +- [PyPi](https://pypi.org/project/nibabel) (π₯ 420K / month Β· π¦ 1.2K Β· β±οΈ 11.12.2023): ``` pip install nibabel ``` -- [Conda](https://anaconda.org/conda-forge/nibabel) (π₯ 670K Β· β±οΈ 12.12.2023): +- [Conda](https://anaconda.org/conda-forge/nibabel) (π₯ 680K Β· β±οΈ 12.12.2023): ``` conda install -c conda-forge nibabel ``` </details> <details><summary><b><a href="https://github.com/CamDavidsonPilon/lifelines">Lifelines</a></b> (π₯34 Β· β 2.2K) - Survival analysis in Python. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> -- [GitHub](https://github.com/CamDavidsonPilon/lifelines) (π¨βπ» 120 Β· π 580 Β· π¦ 2.1K Β· π 950 - 25% open Β· β±οΈ 15.01.2024): +- [GitHub](https://github.com/CamDavidsonPilon/lifelines) (π¨βπ» 120 Β· π 580 Β· π¦ 2.2K Β· π 950 - 25% open Β· β±οΈ 15.01.2024): ``` git clone https://github.com/CamDavidsonPilon/lifelines ``` -- [PyPi](https://pypi.org/project/lifelines) (π₯ 500K / month Β· π¦ 130 Β· β±οΈ 03.01.2024): +- [PyPi](https://pypi.org/project/lifelines) (π₯ 590K / month Β· π¦ 130 Β· β±οΈ 03.01.2024): ``` pip install lifelines ``` @@ -4241,7 +4294,7 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic ``` git clone https://github.com/nipy/nipype ``` -- [PyPi](https://pypi.org/project/nipype) (π₯ 74K / month Β· π¦ 180 Β· β±οΈ 06.04.2023): +- [PyPi](https://pypi.org/project/nipype) (π₯ 82K / month Β· π¦ 180 Β· β±οΈ 06.04.2023): ``` pip install nipype ``` @@ -4250,21 +4303,21 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic conda install -c conda-forge nipype ``` </details> -<details><summary><b><a href="https://github.com/hail-is/hail">Hail</a></b> (π₯32 Β· β 900) - Cloud-native genomic dataframes and batch computing. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1N" style="display:inline;" width="13" height="13"></code></summary> +<details><summary><b><a href="https://github.com/hail-is/hail">Hail</a></b> (π₯32 Β· β 910) - Cloud-native genomic dataframes and batch computing. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1N" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/hail-is/hail) (π¨βπ» 91 Β· π 240 Β· π¦ 120 Β· π 2.4K - 8% open Β· β±οΈ 24.01.2024): +- [GitHub](https://github.com/hail-is/hail) (π¨βπ» 91 Β· π 240 Β· π¦ 120 Β· π 2.4K - 8% open Β· β±οΈ 01.02.2024): ``` git clone https://github.com/hail-is/hail ``` -- [PyPi](https://pypi.org/project/hail) (π₯ 29K / month Β· π¦ 18 Β· β±οΈ 12.01.2024): +- [PyPi](https://pypi.org/project/hail) (π₯ 39K / month Β· π¦ 18 Β· β±οΈ 12.01.2024): ``` pip install hail ``` </details> -<details><summary><b><a href="https://github.com/google/deepvariant">DeepVariant</a></b> (π₯25 Β· β 3K) - DeepVariant is an analysis pipeline that uses a deep neural.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary> +<details><summary><b><a href="https://github.com/google/deepvariant">DeepVariant</a></b> (π₯24 Β· β 3K) - DeepVariant is an analysis pipeline that uses a deep neural.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/google/deepvariant) (π¨βπ» 28 Β· π 680 Β· π₯ 4.7K Β· π 700 - 0% open Β· β±οΈ 09.12.2023): +- [GitHub](https://github.com/google/deepvariant) (π¨βπ» 28 Β· π 680 Β· π₯ 4.7K Β· π 710 - 0% open Β· β±οΈ 09.12.2023): ``` git clone https://github.com/google/deepvariant @@ -4281,7 +4334,7 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic ``` git clone https://github.com/brainiak/brainiak ``` -- [PyPi](https://pypi.org/project/brainiak) (π₯ 90 / month Β· π¦ 1 Β· β±οΈ 15.10.2020): +- [PyPi](https://pypi.org/project/brainiak) (π₯ 85 / month Β· π¦ 1 Β· β±οΈ 15.10.2020): ``` pip install brainiak ``` @@ -4296,9 +4349,9 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic - <b><a href="https://github.com/nipy/nipy">NIPY</a></b> (π₯26 Β· β 360) - Neuroimaging in Python FMRI analysis package. <code>βUnlicensed</code> - <b><a href="https://github.com/NifTK/NiftyNet">NiftyNet</a></b> (π₯24 Β· β 1.4K Β· π) - [unmaintained] An open-source convolutional neural.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code> - <b><a href="https://github.com/loli/medpy">MedPy</a></b> (π₯22 Β· β 530) - Medical image processing in Python. <code><a href="http://bit.ly/2M0xdwT">βοΈGPL-3.0</a></code> -- <b><a href="https://github.com/projectglow/glow">Glow</a></b> (π₯21 Β· β 250 Β· π€) - An open-source toolkit for large-scale genomic analysis. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> -- <b><a href="https://github.com/DLTK/DLTK">DLTK</a></b> (π₯20 Β· β 1.4K Β· π) - Deep Learning Toolkit for Medical Image Analysis. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code> -- <b><a href="https://github.com/MIC-DKFZ/medicaldetectiontoolkit">Medical Detection Toolkit</a></b> (π₯15 Β· β 1.2K Β· π) - The Medical Detection Toolkit contains 2D + 3D.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code> +- <b><a href="https://github.com/DLTK/DLTK">DLTK</a></b> (π₯21 Β· β 1.4K Β· π) - Deep Learning Toolkit for Medical Image Analysis. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code> +- <b><a href="https://github.com/projectglow/glow">Glow</a></b> (π₯20 Β· β 250) - An open-source toolkit for large-scale genomic analysis. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> +- <b><a href="https://github.com/MIC-DKFZ/medicaldetectiontoolkit">Medical Detection Toolkit</a></b> (π₯15 Β· β 1.3K Β· π) - The Medical Detection Toolkit contains 2D + 3D.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code> - <b><a href="https://github.com/perone/medicaltorch">MedicalTorch</a></b> (π₯15 Β· β 830 Β· π) - A medical imaging framework for Pytorch. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code> - <b><a href="https://github.com/QTIM-Lab/DeepNeuro">DeepNeuro</a></b> (π₯13 Β· β 120 Β· π) - A deep learning python package for neuroimaging data. Made by:. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> - <b><a href="https://github.com/Tencent/MedicalNet">MedicalNet</a></b> (π₯12 Β· β 1.8K Β· π) - Many studies have shown that the performance on deep learning is.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> @@ -4311,35 +4364,35 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic _Libraries for processing tabular and structured data._ -<details><summary><b><a href="https://github.com/manujosephv/pytorch_tabular">pytorch_tabular</a></b> (π₯22 Β· β 1.1K) - A standard framework for modelling Deep Learning Models.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> +<details><summary><b><a href="https://github.com/manujosephv/pytorch_tabular">pytorch_tabular</a></b> (π₯22 Β· β 1.1K) - A standard framework for modelling Deep Learning Models.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/manujosephv/pytorch_tabular) (π¨βπ» 18 Β· π 120 Β· π₯ 21 Β· π 120 - 5% open Β· β±οΈ 15.01.2024): +- [GitHub](https://github.com/manujosephv/pytorch_tabular) (π¨βπ» 19 Β· π 120 Β· π₯ 22 Β· π 130 - 4% open Β· β±οΈ 30.01.2024): ``` git clone https://github.com/manujosephv/pytorch_tabular ``` -- [PyPi](https://pypi.org/project/pytorch_tabular) (π₯ 3.5K / month Β· π¦ 2 Β· β±οΈ 15.01.2024): +- [PyPi](https://pypi.org/project/pytorch_tabular) (π₯ 4.1K / month): ``` pip install pytorch_tabular ``` </details> <details><summary><b><a href="https://github.com/carefree0910/carefree-learn">carefree-learn</a></b> (π₯21 Β· β 400) - Deep Learning PyTorch. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/carefree0910/carefree-learn) (π¨βπ» 1 Β· π 38 Β· π¦ 5 Β· π 82 - 2% open Β· β±οΈ 11.12.2023): +- [GitHub](https://github.com/carefree0910/carefree-learn) (π 32 Β· π¦ 5 Β· π 82 - 2% open Β· β±οΈ 11.12.2023): ``` git clone https://github.com/carefree0910/carefree-learn ``` -- [PyPi](https://pypi.org/project/carefree-learn) (π₯ 430 / month Β· β±οΈ 09.01.2024): +- [PyPi](https://pypi.org/project/carefree-learn) (π₯ 450 / month): ``` pip install carefree-learn ``` </details> <details><summary>Show 3 hidden projects...</summary> -- <b><a href="https://github.com/AnotherSamWilson/miceforest">miceforest</a></b> (π₯23 Β· β 280) - Multiple Imputation with LightGBM in Python. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> -- <b><a href="https://github.com/upgini/upgini">upgini</a></b> (π₯21 Β· β 270) - Data search & enrichment library for Machine Learning Easily find and add.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> -- <b><a href="https://github.com/firmai/deltapy">deltapy</a></b> (π₯12 Β· β 520 Β· π) - DeltaPy - Tabular Data Augmentation (by @firmai). <code><a href="http://bit.ly/34MBwT8">MIT</a></code> +- <b><a href="https://github.com/upgini/upgini">upgini</a></b> (π₯22 Β· β 270) - Data search & enrichment library for Machine Learning Easily find and add.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> +- <b><a href="https://github.com/AnotherSamWilson/miceforest">miceforest</a></b> (π₯20 Β· β 280 Β· π) - Multiple Imputation with LightGBM in Python. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> +- <b><a href="https://github.com/firmai/deltapy">deltapy</a></b> (π₯9 Β· β 520 Β· π) - DeltaPy - Tabular Data Augmentation (by @firmai). <code>βUnlicensed</code> </details> <br> @@ -4351,36 +4404,36 @@ _Libraries for optical character recognition (OCR) and text extraction from imag <details><summary><b><a href="https://github.com/PaddlePaddle/PaddleOCR">PaddleOCR</a></b> (π₯38 Β· β 36K) - Awesome multilingual OCR toolkits based on PaddlePaddle.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1M" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/PaddlePaddle/PaddleOCR) (π¨βπ» 150 Β· π 6.9K Β· π¦ 2.2K Β· π 8.4K - 11% open Β· β±οΈ 24.01.2024): +- [GitHub](https://github.com/PaddlePaddle/PaddleOCR) (π¨βπ» 190 Β· π 7.1K Β· π¦ 2.2K Β· π 8.5K - 12% open Β· β±οΈ 24.01.2024): ``` git clone https://github.com/PaddlePaddle/PaddleOCR ``` -- [PyPi](https://pypi.org/project/paddleocr) (π₯ 130K / month): +- [PyPi](https://pypi.org/project/paddleocr) (π₯ 180K / month Β· π¦ 38 Β· β±οΈ 15.09.2023): ``` pip install paddleocr ``` </details> <details><summary><b><a href="https://github.com/JaidedAI/EasyOCR">EasyOCR</a></b> (π₯36 Β· β 21K) - Ready-to-use OCR with 80+ supported languages and all popular writing.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> -- [GitHub](https://github.com/JaidedAI/EasyOCR) (π¨βπ» 130 Β· π 2.9K Β· π₯ 8.3M Β· π¦ 5K Β· π 930 - 37% open Β· β±οΈ 04.09.2023): +- [GitHub](https://github.com/JaidedAI/EasyOCR) (π¨βπ» 130 Β· π 2.9K Β· π₯ 8.5M Β· π¦ 5K Β· π 930 - 37% open Β· β±οΈ 04.09.2023): ``` git clone https://github.com/JaidedAI/EasyOCR ``` -- [PyPi](https://pypi.org/project/easyocr) (π₯ 320K / month Β· π¦ 94 Β· β±οΈ 04.09.2023): +- [PyPi](https://pypi.org/project/easyocr) (π₯ 390K / month Β· π¦ 94 Β· β±οΈ 04.09.2023): ``` pip install easyocr ``` </details> <details><summary><b><a href="https://github.com/ocrmypdf/OCRmyPDF">OCRmyPDF</a></b> (π₯34 Β· β 11K) - OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them.. <code><a href="http://bit.ly/3postzC">MPL-2.0</a></code></summary> -- [GitHub](https://github.com/ocrmypdf/OCRmyPDF) (π¨βπ» 91 Β· π 820 Β· π₯ 1.9K Β· π¦ 710 Β· π 1.1K - 8% open Β· β±οΈ 24.01.2024): +- [GitHub](https://github.com/ocrmypdf/OCRmyPDF) (π¨βπ» 91 Β· π 840 Β· π₯ 2K Β· π¦ 720 Β· π 1.1K - 8% open Β· β±οΈ 24.01.2024): ``` git clone https://github.com/ocrmypdf/OCRmyPDF ``` -- [PyPi](https://pypi.org/project/ocrmypdf) (π₯ 72K / month): +- [PyPi](https://pypi.org/project/ocrmypdf) (π₯ 80K / month Β· π¦ 19 Β· β±οΈ 07.01.2024): ``` pip install ocrmypdf ``` @@ -4389,36 +4442,36 @@ _Libraries for optical character recognition (OCR) and text extraction from imag conda install -c conda-forge ocrmypdf ``` </details> -<details><summary><b><a href="https://github.com/sirfz/tesserocr">tesserocr</a></b> (π₯29 Β· β 1.9K) - A Python wrapper for the tesseract-ocr API. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> +<details><summary><b><a href="https://github.com/madmaze/pytesseract">Tesseract</a></b> (π₯33 Β· β 5.3K Β· π) - Python-tesseract is an optical character recognition (OCR).. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> -- [GitHub](https://github.com/sirfz/tesserocr) (π¨βπ» 29 Β· π 250 Β· π₯ 83 Β· π¦ 930 Β· π 270 - 18% open Β· β±οΈ 09.10.2023): +- [GitHub](https://github.com/madmaze/pytesseract) (π¨βπ» 46 Β· π 680 Β· π 350 - 3% open Β· β±οΈ 23.01.2024): ``` - git clone https://github.com/sirfz/tesserocr + git clone https://github.com/madmaze/pytesseract ``` -- [PyPi](https://pypi.org/project/tesserocr) (π₯ 45K / month): +- [PyPi](https://pypi.org/project/pytesseract) (π₯ 1.3M / month Β· π¦ 1.2K Β· β±οΈ 16.08.2022): ``` - pip install tesserocr + pip install pytesseract ``` -- [Conda](https://anaconda.org/conda-forge/tesserocr) (π₯ 130K Β· β±οΈ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/pytesseract) (π₯ 600K Β· β±οΈ 15.10.2023): ``` - conda install -c conda-forge tesserocr + conda install -c conda-forge pytesseract ``` </details> -<details><summary><b><a href="https://github.com/madmaze/pytesseract">Tesseract</a></b> (π₯28 Β· β 5.3K Β· π) - Python-tesseract is an optical character recognition (OCR).. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> +<details><summary><b><a href="https://github.com/sirfz/tesserocr">tesserocr</a></b> (π₯29 Β· β 1.9K) - A Python wrapper for the tesseract-ocr API. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> -- [GitHub](https://github.com/madmaze/pytesseract) (π¨βπ» 46 Β· π 670 Β· π 350 - 2% open Β· β±οΈ 23.01.2024): +- [GitHub](https://github.com/sirfz/tesserocr) (π¨βπ» 29 Β· π 260 Β· π₯ 85 Β· π¦ 930 Β· π 270 - 18% open Β· β±οΈ 09.10.2023): ``` - git clone https://github.com/madmaze/pytesseract + git clone https://github.com/sirfz/tesserocr ``` -- [PyPi](https://pypi.org/project/pytesseract) (π₯ 1.2M / month): +- [PyPi](https://pypi.org/project/tesserocr) (π₯ 49K / month Β· π¦ 72 Β· β±οΈ 09.10.2023): ``` - pip install pytesseract + pip install tesserocr ``` -- [Conda](https://anaconda.org/conda-forge/pytesseract) (π₯ 600K Β· β±οΈ 15.10.2023): +- [Conda](https://anaconda.org/conda-forge/tesserocr) (π₯ 130K Β· β±οΈ 16.06.2023): ``` - conda install -c conda-forge pytesseract + conda install -c conda-forge tesserocr ``` </details> <details><summary><b><a href="https://github.com/open-mmlab/mmocr">MMOCR</a></b> (π₯26 Β· β 3.9K) - OpenMMLab Text Detection, Recognition and Understanding Toolbox. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> @@ -4428,19 +4481,19 @@ _Libraries for optical character recognition (OCR) and text extraction from imag ``` git clone https://github.com/open-mmlab/mmocr ``` -- [PyPi](https://pypi.org/project/mmocr) (π₯ 4.2K / month Β· π¦ 2 Β· β±οΈ 05.05.2022): +- [PyPi](https://pypi.org/project/mmocr) (π₯ 4.5K / month Β· π¦ 2 Β· β±οΈ 05.05.2022): ``` pip install mmocr ``` </details> -<details><summary><b><a href="https://github.com/faustomorales/keras-ocr">keras-ocr</a></b> (π₯23 Β· β 1.3K) - A packaged and flexible version of the CRAFT text detector and.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary> +<details><summary><b><a href="https://github.com/faustomorales/keras-ocr">keras-ocr</a></b> (π₯24 Β· β 1.3K) - A packaged and flexible version of the CRAFT text detector and.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/faustomorales/keras-ocr) (π¨βπ» 18 Β· π 310 Β· π₯ 800K Β· π¦ 400 Β· β±οΈ 06.11.2023): +- [GitHub](https://github.com/faustomorales/keras-ocr) (π¨βπ» 18 Β· π 320 Β· π₯ 820K Β· π¦ 400 Β· β±οΈ 06.11.2023): ``` git clone https://github.com/faustomorales/keras-ocr ``` -- [PyPi](https://pypi.org/project/keras-ocr) (π₯ 26K / month): +- [PyPi](https://pypi.org/project/keras-ocr) (π₯ 27K / month Β· π¦ 8 Β· β±οΈ 06.11.2023): ``` pip install keras-ocr ``` @@ -4449,14 +4502,14 @@ _Libraries for optical character recognition (OCR) and text extraction from imag conda install -c anaconda keras-ocr ``` </details> -<details><summary><b><a href="https://github.com/Calamari-OCR/calamari">calamari</a></b> (π₯23 Β· β 1K) - Line based ATR Engine based on OCRopy. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> +<details><summary><b><a href="https://github.com/Calamari-OCR/calamari">calamari</a></b> (π₯22 Β· β 1K) - Line based ATR Engine based on OCRopy. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> - [GitHub](https://github.com/Calamari-OCR/calamari) (π¨βπ» 20 Β· π 210 Β· π 270 - 23% open Β· β±οΈ 18.08.2023): ``` git clone https://github.com/Calamari-OCR/calamari ``` -- [PyPi](https://pypi.org/project/calamari_ocr) (π₯ 1.8K / month Β· π¦ 5 Β· β±οΈ 18.08.2023): +- [PyPi](https://pypi.org/project/calamari_ocr) (π₯ 2.1K / month Β· π¦ 5 Β· β±οΈ 18.08.2023): ``` pip install calamari_ocr ``` @@ -4468,16 +4521,16 @@ _Libraries for optical character recognition (OCR) and text extraction from imag ``` git clone https://github.com/emedvedev/attention-ocr ``` -- [PyPi](https://pypi.org/project/aocr) (π₯ 200 / month): +- [PyPi](https://pypi.org/project/aocr) (π₯ 210 / month Β· β±οΈ 19.04.2019): ``` pip install aocr ``` </details> <details><summary>Show 3 hidden projects...</summary> -- <b><a href="https://github.com/WZBSocialScienceCenter/pdftabextract">pdftabextract</a></b> (π₯21 Β· β 2.1K Β· π) - A set of tools for extracting tables from PDF files.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> -- <b><a href="https://github.com/jlsutherland/doc2text">doc2text</a></b> (π₯18 Β· β 1.3K Β· π) - Detect text blocks and OCR poorly scanned PDFs in bulk. Python.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> -- <b><a href="https://github.com/aashrafh/Mozart">Mozart</a></b> (π₯10 Β· β 540 Β· π) - An optical music recognition (OMR) system. Converts sheet.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code> +- <b><a href="https://github.com/jlsutherland/doc2text">doc2text</a></b> (π₯20 Β· β 1.3K Β· π) - Detect text blocks and OCR poorly scanned PDFs in bulk. Python.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> +- <b><a href="https://github.com/WZBSocialScienceCenter/pdftabextract">pdftabextract</a></b> (π₯19 Β· β 2.1K Β· π) - A set of tools for extracting tables from PDF files.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> +- <b><a href="https://github.com/aashrafh/Mozart">Mozart</a></b> (π₯10 Β· β 550 Β· π) - An optical music recognition (OMR) system. Converts sheet.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code> </details> <br> @@ -4529,44 +4582,44 @@ _Libraries that provide capabilities to distribute and parallelize machine learn <details><summary><b><a href="https://github.com/ray-project/ray">Ray</a></b> (π₯43 Β· β 30K) - Ray is a unified framework for scaling AI and Python applications. Ray.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> -- [GitHub](https://github.com/ray-project/ray) (π¨βπ» 970 Β· π 5.1K Β· π₯ 190 Β· π¦ 13K Β· π 17K - 20% open Β· β±οΈ 25.01.2024): +- [GitHub](https://github.com/ray-project/ray) (π¨βπ» 970 Β· π 5.1K Β· π₯ 200 Β· π¦ 13K Β· π 17K - 21% open Β· β±οΈ 01.02.2024): ``` git clone https://github.com/ray-project/ray ``` -- [PyPi](https://pypi.org/project/ray) (π₯ 2.7M / month Β· π¦ 460 Β· β±οΈ 19.01.2024): +- [PyPi](https://pypi.org/project/ray) (π₯ 2.9M / month Β· π¦ 470 Β· β±οΈ 19.01.2024): ``` pip install ray ``` -- [Conda](https://anaconda.org/conda-forge/ray-tune) (π₯ 180K Β· β±οΈ 24.01.2024): +- [Conda](https://anaconda.org/conda-forge/ray-tune) (π₯ 180K Β· β±οΈ 26.01.2024): ``` conda install -c conda-forge ray-tune ``` </details> <details><summary><b><a href="https://github.com/dask/dask">dask</a></b> (π₯43 Β· β 12K) - Parallel computing with task scheduling. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary> -- [GitHub](https://github.com/dask/dask) (π¨βπ» 590 Β· π 1.7K Β· π¦ 57K Β· π 5.1K - 20% open Β· β±οΈ 25.01.2024): +- [GitHub](https://github.com/dask/dask) (π¨βπ» 590 Β· π 1.7K Β· π¦ 57K Β· π 5.1K - 20% open Β· β±οΈ 01.02.2024): ``` git clone https://github.com/dask/dask ``` -- [PyPi](https://pypi.org/project/dask) (π₯ 5.7M / month Β· π¦ 3.1K Β· β±οΈ 12.01.2024): +- [PyPi](https://pypi.org/project/dask) (π₯ 6.4M / month Β· π¦ 3.1K Β· β±οΈ 26.01.2024): ``` pip install dask ``` -- [Conda](https://anaconda.org/conda-forge/dask) (π₯ 11M Β· β±οΈ 13.01.2024): +- [Conda](https://anaconda.org/conda-forge/dask) (π₯ 11M Β· β±οΈ 27.01.2024): ``` conda install -c conda-forge dask ``` </details> -<details><summary><b><a href="https://github.com/microsoft/DeepSpeed">DeepSpeed</a></b> (π₯40 Β· β 31K) - DeepSpeed is a deep learning optimization library that makes.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> +<details><summary><b><a href="https://github.com/microsoft/DeepSpeed">DeepSpeed</a></b> (π₯41 Β· β 31K) - DeepSpeed is a deep learning optimization library that makes.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/microsoft/DeepSpeed) (π¨βπ» 280 Β· π 3.8K Β· π¦ 5.5K Β· π 2.4K - 37% open Β· β±οΈ 23.01.2024): +- [GitHub](https://github.com/microsoft/DeepSpeed) (π¨βπ» 280 Β· π 3.8K Β· π¦ 5.6K Β· π 2.4K - 37% open Β· β±οΈ 31.01.2024): ``` git clone https://github.com/microsoft/DeepSpeed ``` -- [PyPi](https://pypi.org/project/deepspeed) (π₯ 370K / month Β· π¦ 100 Β· β±οΈ 23.01.2024): +- [PyPi](https://pypi.org/project/deepspeed) (π₯ 410K / month Β· π¦ 100 Β· β±οΈ 23.01.2024): ``` pip install deepspeed ``` @@ -4575,30 +4628,30 @@ _Libraries that provide capabilities to distribute and parallelize machine learn docker pull deepspeed/deepspeed ``` </details> -<details><summary><b><a href="https://github.com/dask/distributed">dask.distributed</a></b> (π₯39 Β· β 1.5K) - A distributed task scheduler for Dask. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary> +<details><summary><b><a href="https://github.com/dask/distributed">dask.distributed</a></b> (π₯40 Β· β 1.5K) - A distributed task scheduler for Dask. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary> -- [GitHub](https://github.com/dask/distributed) (π¨βπ» 320 Β· π 710 Β· π¦ 32K Β· π 3.8K - 38% open Β· β±οΈ 23.01.2024): +- [GitHub](https://github.com/dask/distributed) (π¨βπ» 320 Β· π 710 Β· π¦ 33K Β· π 3.8K - 38% open Β· β±οΈ 01.02.2024): ``` git clone https://github.com/dask/distributed ``` -- [PyPi](https://pypi.org/project/distributed) (π₯ 2.9M / month Β· π¦ 1.3K Β· β±οΈ 12.01.2024): +- [PyPi](https://pypi.org/project/distributed) (π₯ 3.2M / month Β· π¦ 1.3K Β· β±οΈ 26.01.2024): ``` pip install distributed ``` -- [Conda](https://anaconda.org/conda-forge/distributed) (π₯ 13M Β· β±οΈ 13.01.2024): +- [Conda](https://anaconda.org/conda-forge/distributed) (π₯ 13M Β· β±οΈ 27.01.2024): ``` conda install -c conda-forge distributed ``` </details> <details><summary><b><a href="https://github.com/intel-analytics/BigDL">BigDL</a></b> (π₯36 Β· β 4.7K) - Accelerate LLM with low-bit (FP4 / INT4 / FP8 / INT8) optimizations.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> -- [GitHub](https://github.com/intel-analytics/BigDL) (π¨βπ» 200 Β· π 1.2K Β· π₯ 200 Β· π¦ 47 Β· π 2.3K - 41% open Β· β±οΈ 25.01.2024): +- [GitHub](https://github.com/intel-analytics/BigDL) (π¨βπ» 200 Β· π 1.2K Β· π₯ 210 Β· π¦ 47 Β· π 2.3K - 41% open Β· β±οΈ 01.02.2024): ``` git clone https://github.com/intel-analytics/BigDL ``` -- [PyPi](https://pypi.org/project/bigdl) (π₯ 4K / month Β· π¦ 1 Β· β±οΈ 25.01.2024): +- [PyPi](https://pypi.org/project/bigdl) (π₯ 3.8K / month Β· π¦ 1 Β· β±οΈ 01.02.2024): ``` pip install bigdl ``` @@ -4611,26 +4664,14 @@ _Libraries that provide capabilities to distribute and parallelize machine learn </dependency> ``` </details> -<details><summary><b><a href="https://github.com/h2oai/h2o-3">H2O-3</a></b> (π₯35 Β· β 6.6K) - H2O is an Open Source, Distributed, Fast & Scalable Machine Learning.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> - -- [GitHub](https://github.com/h2oai/h2o-3) (π¨βπ» 250 Β· π 2K Β· π¦ 21 Β· π 9.2K - 29% open Β· β±οΈ 24.01.2024): - - ``` - git clone https://github.com/h2oai/h2o-3 - ``` -- [PyPi](https://pypi.org/project/h2o) (π₯ 380K / month Β· π¦ 82 Β· β±οΈ 20.12.2023): - ``` - pip install h2o - ``` -</details> <details><summary><b><a href="https://github.com/Lightning-AI/torchmetrics">metrics</a></b> (π₯35 Β· β 1.8K) - Torchmetrics - Machine learning metrics for distributed,.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/Lightning-AI/torchmetrics) (π¨βπ» 220 Β· π 340 Β· π₯ 4.6K Β· π¦ 20K Β· π 760 - 8% open Β· β±οΈ 23.01.2024): +- [GitHub](https://github.com/Lightning-AI/torchmetrics) (π¨βπ» 220 Β· π 350 Β· π₯ 4.7K Β· π¦ 20K Β· π 770 - 8% open Β· β±οΈ 30.01.2024): ``` git clone https://github.com/Lightning-AI/metrics ``` -- [PyPi](https://pypi.org/project/metrics) (π₯ 2.4K / month Β· π¦ 13 Β· β±οΈ 28.04.2018): +- [PyPi](https://pypi.org/project/metrics) (π₯ 2.7K / month Β· π¦ 13 Β· β±οΈ 28.04.2018): ``` pip install metrics ``` @@ -4646,27 +4687,39 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ``` git clone https://github.com/horovod/horovod ``` -- [PyPi](https://pypi.org/project/horovod) (π₯ 49K / month Β· π¦ 37 Β· β±οΈ 12.06.2023): +- [PyPi](https://pypi.org/project/horovod) (π₯ 57K / month Β· π¦ 37 Β· β±οΈ 12.06.2023): ``` pip install horovod ``` </details> <details><summary><b><a href="https://github.com/hpcaitech/ColossalAI">ColossalAI</a></b> (π₯33 Β· β 36K) - Making large AI models cheaper, faster and more accessible. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> -- [GitHub](https://github.com/hpcaitech/ColossalAI) (π¨βπ» 160 Β· π 4.1K Β· π¦ 290 Β· π 1.5K - 23% open Β· β±οΈ 25.01.2024): +- [GitHub](https://github.com/hpcaitech/ColossalAI) (π¨βπ» 160 Β· π 4.1K Β· π¦ 290 Β· π 1.5K - 23% open Β· β±οΈ 01.02.2024): ``` git clone https://github.com/hpcaitech/colossalai ``` </details> +<details><summary><b><a href="https://github.com/h2oai/h2o-3">H2O-3</a></b> (π₯33 Β· β 6.6K Β· π) - H2O is an Open Source, Distributed, Fast & Scalable Machine.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> + +- [GitHub](https://github.com/h2oai/h2o-3) (π¨βπ» 250 Β· π 2K Β· π¦ 21 Β· π 9.2K - 29% open Β· β±οΈ 01.02.2024): + + ``` + git clone https://github.com/h2oai/h2o-3 + ``` +- [PyPi](https://pypi.org/project/h2o) (π₯ 410K / month): + ``` + pip install h2o + ``` +</details> <details><summary><b><a href="https://github.com/facebookresearch/fairscale">FairScale</a></b> (π₯31 Β· β 2.7K Β· π€) - PyTorch extensions for high performance and large scale.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/facebookresearch/fairscale) (π¨βπ» 72 Β· π 240 Β· π¦ 4K Β· π 350 - 20% open Β· β±οΈ 20.04.2023): +- [GitHub](https://github.com/facebookresearch/fairscale) (π¨βπ» 72 Β· π 240 Β· π¦ 4.1K Β· π 350 - 20% open Β· β±οΈ 20.04.2023): ``` git clone https://github.com/facebookresearch/fairscale ``` -- [PyPi](https://pypi.org/project/fairscale) (π₯ 400K / month Β· π¦ 66 Β· β±οΈ 11.12.2022): +- [PyPi](https://pypi.org/project/fairscale) (π₯ 420K / month Β· π¦ 66 Β· β±οΈ 11.12.2022): ``` pip install fairscale ``` @@ -4677,24 +4730,24 @@ _Libraries that provide capabilities to distribute and parallelize machine learn </details> <details><summary><b><a href="https://github.com/microsoft/SynapseML">SynapseML</a></b> (π₯29 Β· β 4.9K) - Simple and Distributed Machine Learning. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> -- [GitHub](https://github.com/microsoft/SynapseML) (π¨βπ» 120 Β· π 820 Β· π 720 - 45% open Β· β±οΈ 22.01.2024): +- [GitHub](https://github.com/microsoft/SynapseML) (π¨βπ» 120 Β· π 820 Β· π 720 - 45% open Β· β±οΈ 31.01.2024): ``` git clone https://github.com/microsoft/SynapseML ``` -- [PyPi](https://pypi.org/project/synapseml) (π₯ 140K / month Β· π¦ 3 Β· β±οΈ 27.11.2023): +- [PyPi](https://pypi.org/project/synapseml) (π₯ 160K / month Β· π¦ 3 Β· β±οΈ 27.11.2023): ``` pip install synapseml ``` </details> -<details><summary><b><a href="https://github.com/mpi4py/mpi4py">mpi4py</a></b> (π₯29 Β· β 730) - Python bindings for MPI. <code><a href="http://bit.ly/3rqEWVr">BSD-2</a></code></summary> +<details><summary><b><a href="https://github.com/mpi4py/mpi4py">mpi4py</a></b> (π₯29 Β· β 740) - Python bindings for MPI. <code><a href="http://bit.ly/3rqEWVr">BSD-2</a></code></summary> -- [GitHub](https://github.com/mpi4py/mpi4py) (π¨βπ» 26 Β· π 110 Β· π₯ 20K Β· π 150 - 7% open Β· β±οΈ 25.01.2024): +- [GitHub](https://github.com/mpi4py/mpi4py) (π¨βπ» 26 Β· π 110 Β· π₯ 20K Β· π 150 - 7% open Β· β±οΈ 30.01.2024): ``` git clone https://github.com/mpi4py/mpi4py ``` -- [PyPi](https://pypi.org/project/mpi4py) (π₯ 180K / month Β· π¦ 740 Β· β±οΈ 04.10.2023): +- [PyPi](https://pypi.org/project/mpi4py) (π₯ 210K / month Β· π¦ 750 Β· β±οΈ 04.10.2023): ``` pip install mpi4py ``` @@ -4703,18 +4756,18 @@ _Libraries that provide capabilities to distribute and parallelize machine learn conda install -c conda-forge mpi4py ``` </details> -<details><summary><b><a href="https://github.com/dask/dask-ml">dask-ml</a></b> (π₯28 Β· β 870 Β· π€) - Scalable Machine Learning with Dask. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary> +<details><summary><b><a href="https://github.com/dask/dask-ml">dask-ml</a></b> (π₯28 Β· β 880 Β· π€) - Scalable Machine Learning with Dask. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary> -- [GitHub](https://github.com/dask/dask-ml) (π¨βπ» 77 Β· π 250 Β· π¦ 940 Β· π 520 - 51% open Β· β±οΈ 24.03.2023): +- [GitHub](https://github.com/dask/dask-ml) (π¨βπ» 77 Β· π 250 Β· π¦ 950 Β· π 520 - 51% open Β· β±οΈ 24.03.2023): ``` git clone https://github.com/dask/dask-ml ``` -- [PyPi](https://pypi.org/project/dask-ml) (π₯ 200K / month Β· π¦ 74 Β· β±οΈ 24.03.2023): +- [PyPi](https://pypi.org/project/dask-ml) (π₯ 230K / month Β· π¦ 74 Β· β±οΈ 24.03.2023): ``` pip install dask-ml ``` -- [Conda](https://anaconda.org/conda-forge/dask-ml) (π₯ 790K Β· β±οΈ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/dask-ml) (π₯ 800K Β· β±οΈ 16.06.2023): ``` conda install -c conda-forge dask-ml ``` @@ -4726,7 +4779,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ``` git clone https://github.com/yahoo/TensorFlowOnSpark ``` -- [PyPi](https://pypi.org/project/tensorflowonspark) (π₯ 570K / month Β· π¦ 5 Β· β±οΈ 21.04.2022): +- [PyPi](https://pypi.org/project/tensorflowonspark) (π₯ 600K / month Β· π¦ 5 Β· β±οΈ 21.04.2022): ``` pip install tensorflowonspark ``` @@ -4742,19 +4795,19 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ``` git clone https://github.com/uber/petastorm ``` -- [PyPi](https://pypi.org/project/petastorm) (π₯ 26K / month Β· π¦ 8 Β· β±οΈ 03.02.2023): +- [PyPi](https://pypi.org/project/petastorm) (π₯ 30K / month Β· π¦ 8 Β· β±οΈ 03.02.2023): ``` pip install petastorm ``` </details> -<details><summary><b><a href="https://github.com/facebookincubator/submitit">Submit it</a></b> (π₯26 Β· β 1K) - Python 3.8+ toolbox for submitting jobs to Slurm. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> +<details><summary><b><a href="https://github.com/facebookincubator/submitit">Submit it</a></b> (π₯25 Β· β 1K) - Python 3.8+ toolbox for submitting jobs to Slurm. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> - [GitHub](https://github.com/facebookincubator/submitit) (π¨βπ» 23 Β· π 110 Β· π¦ 2.1K Β· π 110 - 32% open Β· β±οΈ 09.11.2023): ``` git clone https://github.com/facebookincubator/submitit ``` -- [PyPi](https://pypi.org/project/submitit) (π₯ 290K / month Β· π¦ 20 Β· β±οΈ 09.11.2023): +- [PyPi](https://pypi.org/project/submitit) (π₯ 310K / month Β· π¦ 20 Β· β±οΈ 09.11.2023): ``` pip install submitit ``` @@ -4763,21 +4816,9 @@ _Libraries that provide capabilities to distribute and parallelize machine learn conda install -c conda-forge submitit ``` </details> -<details><summary><b><a href="https://github.com/learning-at-home/hivemind">Hivemind</a></b> (π₯24 Β· β 1.8K) - Decentralized deep learning in PyTorch. Built to train models on.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> - -- [GitHub](https://github.com/learning-at-home/hivemind) (π¨βπ» 29 Β· π 120 Β· π¦ 87 Β· π 160 - 37% open Β· β±οΈ 04.12.2023): - - ``` - git clone https://github.com/learning-at-home/hivemind - ``` -- [PyPi](https://pypi.org/project/hivemind) (π₯ 5.6K / month Β· π¦ 7 Β· β±οΈ 31.08.2023): - ``` - pip install hivemind - ``` -</details> <details><summary><b><a href="https://github.com/microsoft/SynapseML">MMLSpark</a></b> (π₯23 Β· β 4.9K) - Simple and Distributed Machine Learning. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1N" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/microsoft/SynapseML) (π¨βπ» 120 Β· π 820 Β· π 720 - 45% open Β· β±οΈ 22.01.2024): +- [GitHub](https://github.com/microsoft/SynapseML) (π¨βπ» 120 Β· π 820 Β· π 720 - 45% open Β· β±οΈ 31.01.2024): ``` git clone https://github.com/microsoft/SynapseML @@ -4794,21 +4835,21 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ``` git clone https://github.com/intel-analytics/analytics-zoo ``` -- [PyPi](https://pypi.org/project/analytics-zoo) (π₯ 230 / month Β· π¦ 1 Β· β±οΈ 22.08.2022): +- [PyPi](https://pypi.org/project/analytics-zoo) (π₯ 300 / month Β· π¦ 1 Β· β±οΈ 22.08.2022): ``` pip install analytics-zoo ``` </details> -<details><summary><b><a href="https://github.com/tensorflow/mesh">Mesh</a></b> (π₯23 Β· β 1.5K) - Mesh TensorFlow: Model Parallelism Made Easier. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary> +<details><summary><b><a href="https://github.com/learning-at-home/hivemind">Hivemind</a></b> (π₯23 Β· β 1.8K) - Decentralized deep learning in PyTorch. Built to train models on.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> -- [GitHub](https://github.com/tensorflow/mesh) (π¨βπ» 50 Β· π 260 Β· π 120 - 85% open Β· β±οΈ 17.11.2023): +- [GitHub](https://github.com/learning-at-home/hivemind) (π¨βπ» 29 Β· π 120 Β· π¦ 87 Β· π 160 - 37% open Β· β±οΈ 04.12.2023): ``` - git clone https://github.com/tensorflow/mesh + git clone https://github.com/learning-at-home/hivemind ``` -- [PyPi](https://pypi.org/project/mesh-tensorflow) (π₯ 20K / month Β· π¦ 30 Β· β±οΈ 15.05.2022): +- [PyPi](https://pypi.org/project/hivemind) (π₯ 4.7K / month Β· π¦ 7 Β· β±οΈ 31.08.2023): ``` - pip install mesh-tensorflow + pip install hivemind ``` </details> <details><summary><b><a href="https://github.com/apache/singa">Apache Singa</a></b> (π₯22 Β· β 3K) - a distributed deep learning platform. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> @@ -4822,40 +4863,45 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ``` conda install -c nusdbsystem singa ``` -- [Docker Hub](https://hub.docker.com/r/apache/singa) (π₯ 5.5K Β· β 4 Β· β±οΈ 31.05.2022): +- [Docker Hub](https://hub.docker.com/r/apache/singa) (π₯ 5.6K Β· β 4 Β· β±οΈ 31.05.2022): ``` docker pull apache/singa ``` </details> -<details><summary><b><a href="https://github.com/google-deepmind/launchpad">launchpad</a></b> (π₯20 Β· β 310 Β· π) - Launchpad is a library that simplifies writing.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary> +<details><summary><b><a href="https://github.com/tensorflow/mesh">Mesh</a></b> (π₯22 Β· β 1.5K) - Mesh TensorFlow: Model Parallelism Made Easier. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/google-deepmind/launchpad) (π¨βπ» 28 Β· π 33 Β· π¦ 82 Β· π 39 - 46% open Β· β±οΈ 22.08.2023): +- [GitHub](https://github.com/tensorflow/mesh) (π¨βπ» 50 Β· π 260 Β· π 120 - 85% open Β· β±οΈ 17.11.2023): ``` - git clone https://github.com/deepmind/launchpad + git clone https://github.com/tensorflow/mesh ``` -- [PyPi](https://pypi.org/project/dm-launchpad) (π₯ 930 / month Β· π¦ 1 Β· β±οΈ 28.04.2022): +- [PyPi](https://pypi.org/project/mesh-tensorflow) (π₯ 21K / month Β· π¦ 30 Β· β±οΈ 15.05.2022): ``` - pip install dm-launchpad + pip install mesh-tensorflow ``` </details> -<details><summary><b><a href="https://github.com/kingoflolz/mesh-transformer-jax">mesh-transformer-jax</a></b> (π₯18 Β· β 6.2K Β· π€) - Model parallel transformers in JAX and Haiku. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://jax.readthedocs.io/en/latest/_static/favicon.png" style="display:inline;" width="13" height="13"></code></summary> +<details><summary><b><a href="https://github.com/google-deepmind/launchpad">launchpad</a></b> (π₯21 Β· β 310) - Launchpad is a library that simplifies writing distributed.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/kingoflolz/mesh-transformer-jax) (π¨βπ» 23 Β· π 870 Β· π¦ 20 Β· π 200 - 22% open Β· β±οΈ 12.01.2023): +- [GitHub](https://github.com/google-deepmind/launchpad) (π¨βπ» 28 Β· π 33 Β· π¦ 83 Β· π 39 - 46% open Β· β±οΈ 22.08.2023): ``` - git clone https://github.com/kingoflolz/mesh-transformer-jax + git clone https://github.com/deepmind/launchpad + ``` +- [PyPi](https://pypi.org/project/dm-launchpad) (π₯ 1.1K / month Β· π¦ 1 Β· β±οΈ 28.04.2022): + ``` + pip install dm-launchpad ``` </details> -<details><summary>Show 13 hidden projects...</summary> +<details><summary>Show 14 hidden projects...</summary> -- <b><a href="https://github.com/DEAP/deap">DEAP</a></b> (π₯32 Β· β 5.4K) - Distributed Evolutionary Algorithms in Python. <code><a href="http://bit.ly/37RvQcA">βοΈLGPL-3.0</a></code> +- <b><a href="https://github.com/DEAP/deap">DEAP</a></b> (π₯32 Β· β 5.4K Β· π€) - Distributed Evolutionary Algorithms in Python. <code><a href="http://bit.ly/37RvQcA">βοΈLGPL-3.0</a></code> - <b><a href="https://github.com/ipython/ipyparallel">ipyparallel</a></b> (π₯29 Β· β 2.5K) - IPython Parallel: Interactive Parallel Computing in.. <code>βUnlicensed</code> <code><img src="https://git.io/JLy1E" style="display:inline;" width="13" height="13"></code> - <b><a href="https://github.com/maxpumperla/elephas">Elephas</a></b> (π₯29 Β· β 1.6K Β· π) - Distributed Deep learning with Keras & Spark. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code>keras</code> <code><img src="https://git.io/JLy1N" style="display:inline;" width="13" height="13"></code> - <b><a href="https://github.com/peterwittek/somoclu">somoclu</a></b> (π₯21 Β· β 260) - Massively parallel self-organizing maps: accelerate training on multicore.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> - <b><a href="https://github.com/bytedance/byteps">BytePS</a></b> (π₯20 Β· β 3.5K Β· π) - A high performance and generic framework for distributed DNN.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> - <b><a href="https://github.com/databricks/tensorframes">TensorFrames</a></b> (π₯20 Β· β 750 Β· π) - [DEPRECATED] Tensorflow wrapper for DataFrames on.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code> <code><img src="https://git.io/JLy1N" style="display:inline;" width="13" height="13"></code> - <b><a href="https://github.com/Ibotta/sk-dist">sk-dist</a></b> (π₯20 Β· β 290 Β· π€) - Distributed scikit-learn meta-estimators in PySpark. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code> <code><img src="https://git.io/JLy1N" style="display:inline;" width="13" height="13"></code> +- <b><a href="https://github.com/kingoflolz/mesh-transformer-jax">mesh-transformer-jax</a></b> (π₯18 Β· β 6.2K Β· π) - Model parallel transformers in JAX and Haiku. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://jax.readthedocs.io/en/latest/_static/favicon.png" style="display:inline;" width="13" height="13"></code> - <b><a href="https://github.com/tunib-ai/parallelformers">parallelformers</a></b> (π₯17 Β· β 740 Β· π) - Parallelformers: An Efficient Model Parallelization.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> - <b><a href="https://github.com/Bluefog-Lib/bluefog">bluefog</a></b> (π₯17 Β· β 290 Β· π€) - Distributed and decentralized training framework for PyTorch.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code> - <b><a href="https://github.com/uber/fiber">Fiber</a></b> (π₯14 Β· β 1K Β· π) - Distributed Computing for AI Made Simple. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> @@ -4873,28 +4919,28 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc <details><summary><b><a href="https://github.com/pytorch/botorch">BoTorch</a></b> (π₯34 Β· β 2.9K) - Bayesian optimization in PyTorch. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/pytorch/botorch) (π¨βπ» 110 Β· π 350 Β· π¦ 820 Β· π 460 - 13% open Β· β±οΈ 24.01.2024): +- [GitHub](https://github.com/pytorch/botorch) (π¨βπ» 110 Β· π 350 Β· π¦ 820 Β· π 460 - 13% open Β· β±οΈ 31.01.2024): ``` git clone https://github.com/pytorch/botorch ``` -- [PyPi](https://pypi.org/project/botorch) (π₯ 120K / month Β· π¦ 44 Β· β±οΈ 09.12.2023): +- [PyPi](https://pypi.org/project/botorch) (π₯ 140K / month Β· π¦ 44 Β· β±οΈ 09.12.2023): ``` pip install botorch ``` -- [Conda](https://anaconda.org/conda-forge/botorch) (π₯ 97K Β· β±οΈ 09.12.2023): +- [Conda](https://anaconda.org/conda-forge/botorch) (π₯ 98K Β· β±οΈ 09.12.2023): ``` conda install -c conda-forge botorch ``` </details> <details><summary><b><a href="https://github.com/facebook/Ax">Ax</a></b> (π₯34 Β· β 2.2K) - Adaptive Experimentation Platform. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/facebook/Ax) (π¨βπ» 160 Β· π 280 Β· π¦ 630 Β· π 640 - 8% open Β· β±οΈ 24.01.2024): +- [GitHub](https://github.com/facebook/Ax) (π¨βπ» 160 Β· π 280 Β· π¦ 640 Β· π 640 - 8% open Β· β±οΈ 01.02.2024): ``` git clone https://github.com/facebook/Ax ``` -- [PyPi](https://pypi.org/project/ax-platform) (π₯ 79K / month Β· π¦ 29 Β· β±οΈ 09.12.2023): +- [PyPi](https://pypi.org/project/ax-platform) (π₯ 90K / month Β· π¦ 29 Β· β±οΈ 09.12.2023): ``` pip install ax-platform ``` @@ -4905,12 +4951,12 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc </details> <details><summary><b><a href="https://github.com/microsoft/nni">NNI</a></b> (π₯33 Β· β 14K) - An open source AutoML toolkit for automate machine learning lifecycle,.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> -- [GitHub](https://github.com/microsoft/nni) (π¨βπ» 190 Β· π 1.8K Β· π¦ 550 Β· π 2K - 17% open Β· β±οΈ 26.10.2023): +- [GitHub](https://github.com/microsoft/nni) (π¨βπ» 190 Β· π 1.8K Β· π¦ 560 Β· π 2K - 17% open Β· β±οΈ 26.10.2023): ``` git clone https://github.com/microsoft/nni ``` -- [PyPi](https://pypi.org/project/nni) (π₯ 15K / month): +- [PyPi](https://pypi.org/project/nni) (π₯ 15K / month Β· π¦ 35 Β· β±οΈ 14.09.2023): ``` pip install nni ``` @@ -4922,7 +4968,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/hyperopt/hyperopt ``` -- [PyPi](https://pypi.org/project/hyperopt) (π₯ 1.7M / month Β· π¦ 510 Β· β±οΈ 17.11.2021): +- [PyPi](https://pypi.org/project/hyperopt) (π₯ 1.9M / month Β· π¦ 510 Β· β±οΈ 17.11.2021): ``` pip install hyperopt ``` @@ -4938,7 +4984,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/keras-team/autokeras ``` -- [PyPi](https://pypi.org/project/autokeras) (π₯ 11K / month): +- [PyPi](https://pypi.org/project/autokeras) (π₯ 12K / month Β· π¦ 13 Β· β±οΈ 28.01.2023): ``` pip install autokeras ``` @@ -4950,7 +4996,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/alteryx/featuretools ``` -- [PyPi](https://pypi.org/project/featuretools) (π₯ 46K / month Β· π¦ 78 Β· β±οΈ 26.10.2023): +- [PyPi](https://pypi.org/project/featuretools) (π₯ 51K / month Β· π¦ 78 Β· β±οΈ 26.10.2023): ``` pip install featuretools ``` @@ -4966,7 +5012,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/automl/auto-sklearn ``` -- [PyPi](https://pypi.org/project/auto-sklearn) (π₯ 16K / month Β· π¦ 39 Β· β±οΈ 20.09.2022): +- [PyPi](https://pypi.org/project/auto-sklearn) (π₯ 17K / month Β· π¦ 39 Β· β±οΈ 20.09.2022): ``` pip install auto-sklearn ``` @@ -4977,40 +5023,24 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc </details> <details><summary><b><a href="https://github.com/bayesian-optimization/BayesianOptimization">Bayesian Optimization</a></b> (π₯31 Β· β 7.3K) - A Python implementation of global optimization with.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> -- [GitHub](https://github.com/bayesian-optimization/BayesianOptimization) (π¨βπ» 44 Β· π 1.5K Β· π₯ 140 Β· π¦ 2.3K Β· π 320 - 3% open Β· β±οΈ 22.01.2024): +- [GitHub](https://github.com/bayesian-optimization/BayesianOptimization) (π¨βπ» 44 Β· π 1.5K Β· π₯ 140 Β· π¦ 2.3K Β· π 330 - 3% open Β· β±οΈ 22.01.2024): ``` git clone https://github.com/fmfn/BayesianOptimization ``` -- [PyPi](https://pypi.org/project/bayesian-optimization) (π₯ 230K / month Β· π¦ 120 Β· β±οΈ 25.04.2023): +- [PyPi](https://pypi.org/project/bayesian-optimization) (π₯ 250K / month Β· π¦ 120 Β· β±οΈ 25.04.2023): ``` pip install bayesian-optimization ``` </details> -<details><summary><b><a href="https://github.com/keras-team/keras-tuner">Keras Tuner</a></b> (π₯31 Β· β 2.8K) - A Hyperparameter Tuning Library for Keras. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary> - -- [GitHub](https://github.com/keras-team/keras-tuner) (π¨βπ» 60 Β· π 380 Β· π¦ 3.1K Β· π 470 - 42% open Β· β±οΈ 29.11.2023): - - ``` - git clone https://github.com/keras-team/keras-tuner - ``` -- [PyPi](https://pypi.org/project/keras-tuner) (π₯ 140K / month): - ``` - pip install keras-tuner - ``` -- [Conda](https://anaconda.org/conda-forge/keras-tuner) (π₯ 28K Β· β±οΈ 10.11.2023): - ``` - conda install -c conda-forge keras-tuner - ``` -</details> -<details><summary><b><a href="https://github.com/facebookresearch/nevergrad">nevergrad</a></b> (π₯30 Β· β 3.8K) - A Python toolbox for performing gradient-free optimization. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> +<details><summary><b><a href="https://github.com/facebookresearch/nevergrad">nevergrad</a></b> (π₯31 Β· β 3.8K) - A Python toolbox for performing gradient-free optimization. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> -- [GitHub](https://github.com/facebookresearch/nevergrad) (π¨βπ» 53 Β· π 340 Β· π¦ 610 Β· π 290 - 41% open Β· β±οΈ 17.01.2024): +- [GitHub](https://github.com/facebookresearch/nevergrad) (π¨βπ» 53 Β· π 340 Β· π¦ 610 Β· π 300 - 41% open Β· β±οΈ 17.01.2024): ``` git clone https://github.com/facebookresearch/nevergrad ``` -- [PyPi](https://pypi.org/project/nevergrad) (π₯ 56K / month Β· π¦ 33 Β· β±οΈ 19.11.2023): +- [PyPi](https://pypi.org/project/nevergrad) (π₯ 65K / month Β· π¦ 33 Β· β±οΈ 19.11.2023): ``` pip install nevergrad ``` @@ -5019,94 +5049,86 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc conda install -c conda-forge nevergrad ``` </details> -<details><summary><b><a href="https://github.com/autogluon/autogluon">AutoGluon</a></b> (π₯29 Β· β 6.8K) - AutoGluon: AutoML for Image, Text, Time Series, and.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code></summary> +<details><summary><b><a href="https://github.com/keras-team/keras-tuner">Keras Tuner</a></b> (π₯31 Β· β 2.8K) - A Hyperparameter Tuning Library for Keras. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/autogluon/autogluon) (π¨βπ» 110 Β· π 810 Β· π¦ 2 Β· π 1.2K - 24% open Β· β±οΈ 23.01.2024): +- [GitHub](https://github.com/keras-team/keras-tuner) (π¨βπ» 60 Β· π 380 Β· π¦ 3.2K Β· π 470 - 42% open Β· β±οΈ 29.11.2023): ``` - git clone https://github.com/autogluon/autogluon + git clone https://github.com/keras-team/keras-tuner ``` -- [PyPi](https://pypi.org/project/autogluon) (π₯ 49K / month Β· π¦ 7 Β· β±οΈ 01.01.2024): +- [PyPi](https://pypi.org/project/keras-tuner) (π₯ 150K / month Β· π¦ 62 Β· β±οΈ 07.11.2023): ``` - pip install autogluon + pip install keras-tuner ``` -- [Docker Hub](https://hub.docker.com/r/autogluon/autogluon) (π₯ 6.6K Β· β 17 Β· β±οΈ 26.07.2023): +- [Conda](https://anaconda.org/conda-forge/keras-tuner) (π₯ 28K Β· β±οΈ 10.11.2023): ``` - docker pull autogluon/autogluon + conda install -c conda-forge keras-tuner ``` </details> -<details><summary><b><a href="https://github.com/mljar/mljar-supervised">mljar-supervised</a></b> (π₯29 Β· β 2.9K) - Python package for AutoML on Tabular Data with Feature.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> +<details><summary><b><a href="https://github.com/autogluon/autogluon">AutoGluon</a></b> (π₯29 Β· β 6.8K) - AutoGluon: AutoML for Image, Text, Time Series, and.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/mljar/mljar-supervised) (π¨βπ» 25 Β· π 370 Β· π¦ 100 Β· π 600 - 23% open Β· β±οΈ 22.01.2024): +- [GitHub](https://github.com/autogluon/autogluon) (π¨βπ» 110 Β· π 810 Β· π¦ 2 Β· π 1.2K - 24% open Β· β±οΈ 31.01.2024): ``` - git clone https://github.com/mljar/mljar-supervised - ``` -- [PyPi](https://pypi.org/project/mljar-supervised) (π₯ 4.5K / month Β· π¦ 2 Β· β±οΈ 22.01.2024): - ``` - pip install mljar-supervised - ``` -- [Conda](https://anaconda.org/conda-forge/mljar-supervised) (π₯ 12K Β· β±οΈ 08.01.2024): - ``` - conda install -c conda-forge mljar-supervised - ``` -</details> -<details><summary><b><a href="https://github.com/maxpumperla/hyperas">Hyperas</a></b> (π₯27 Β· β 2.2K Β· π€) - Keras + Hyperopt: A very simple wrapper for convenient.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary> - -- [GitHub](https://github.com/maxpumperla/hyperas) (π¨βπ» 22 Β· π 320 Β· π¦ 340 Β· π 260 - 37% open Β· β±οΈ 05.01.2023): - + git clone https://github.com/autogluon/autogluon ``` - git clone https://github.com/maxpumperla/hyperas +- [PyPi](https://pypi.org/project/autogluon) (π₯ 51K / month Β· π¦ 7 Β· β±οΈ 01.01.2024): ``` -- [PyPi](https://pypi.org/project/hyperas) (π₯ 11K / month Β· π¦ 24 Β· β±οΈ 28.02.2019): + pip install autogluon + ``` +- [Docker Hub](https://hub.docker.com/r/autogluon/autogluon) (π₯ 6.6K Β· β 17 Β· β±οΈ 26.07.2023): ``` - pip install hyperas + docker pull autogluon/autogluon ``` </details> -<details><summary><b><a href="https://github.com/SheffieldML/GPyOpt">GPyOpt</a></b> (π₯25 Β· β 910 Β· π€) - Gaussian Process Optimization using GPy. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary> +<details><summary><b><a href="https://github.com/mljar/mljar-supervised">mljar-supervised</a></b> (π₯29 Β· β 2.9K) - Python package for AutoML on Tabular Data with Feature.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> -- [GitHub](https://github.com/SheffieldML/GPyOpt) (π¨βπ» 50 Β· π 250 Β· π¦ 480 Β· π 290 - 35% open Β· β±οΈ 17.01.2023): +- [GitHub](https://github.com/mljar/mljar-supervised) (π¨βπ» 26 Β· π 380 Β· π¦ 100 Β· π 600 - 23% open Β· β±οΈ 30.01.2024): ``` - git clone https://github.com/SheffieldML/GPyOpt + git clone https://github.com/mljar/mljar-supervised + ``` +- [PyPi](https://pypi.org/project/mljar-supervised) (π₯ 5.1K / month): + ``` + pip install mljar-supervised ``` -- [PyPi](https://pypi.org/project/gpyopt) (π₯ 6.2K / month Β· π¦ 38 Β· β±οΈ 19.03.2020): +- [Conda](https://anaconda.org/conda-forge/mljar-supervised) (π₯ 13K Β· β±οΈ 08.01.2024): ``` - pip install gpyopt + conda install -c conda-forge mljar-supervised ``` </details> -<details><summary><b><a href="https://github.com/aimclub/FEDOT">FEDOT</a></b> (π₯24 Β· β 580) - Automated modeling and machine learning framework FEDOT. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary> +<details><summary><b><a href="https://github.com/aimclub/FEDOT">FEDOT</a></b> (π₯24 Β· β 590) - Automated modeling and machine learning framework FEDOT. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary> -- [GitHub](https://github.com/aimclub/FEDOT) (π¨βπ» 32 Β· π 80 Β· π¦ 44 Β· π 520 - 16% open Β· β±οΈ 16.01.2024): +- [GitHub](https://github.com/aimclub/FEDOT) (π¨βπ» 32 Β· π 80 Β· π¦ 44 Β· π 520 - 16% open Β· β±οΈ 27.01.2024): ``` git clone https://github.com/nccr-itmo/FEDOT ``` -- [PyPi](https://pypi.org/project/fedot) (π₯ 540 / month Β· π¦ 3 Β· β±οΈ 23.01.2024): +- [PyPi](https://pypi.org/project/fedot) (π₯ 730 / month Β· π¦ 3 Β· β±οΈ 23.01.2024): ``` pip install fedot ``` </details> <details><summary><b><a href="https://github.com/AutoViML/featurewiz">featurewiz</a></b> (π₯24 Β· β 520) - Use advanced feature engineering strategies and select best.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> -- [GitHub](https://github.com/AutoViML/featurewiz) (π¨βπ» 17 Β· π 85 Β· π¦ 62 Β· π 81 - 1% open Β· β±οΈ 23.01.2024): +- [GitHub](https://github.com/AutoViML/featurewiz) (π¨βπ» 17 Β· π 85 Β· π¦ 63 Β· β±οΈ 01.02.2024): ``` git clone https://github.com/AutoViML/featurewiz ``` -- [PyPi](https://pypi.org/project/featurewiz) (π₯ 7.4K / month Β· π¦ 2 Β· β±οΈ 23.01.2024): +- [PyPi](https://pypi.org/project/featurewiz) (π₯ 8.4K / month Β· π¦ 2 Β· β±οΈ 01.02.2024): ``` pip install featurewiz ``` </details> <details><summary><b><a href="https://github.com/SimonBlanke/Hyperactive">Hyperactive</a></b> (π₯21 Β· β 480) - An optimization and data collection toolbox for convenient and fast.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> -- [GitHub](https://github.com/SimonBlanke/Hyperactive) (π¨βπ» 7 Β· π 41 Β· π₯ 130 Β· π¦ 25 Β· π 61 - 14% open Β· β±οΈ 15.12.2023): +- [GitHub](https://github.com/SimonBlanke/Hyperactive) (π¨βπ» 7 Β· π 41 Β· π₯ 130 Β· π¦ 26 Β· π 60 - 13% open Β· β±οΈ 15.12.2023): ``` git clone https://github.com/SimonBlanke/Hyperactive ``` -- [PyPi](https://pypi.org/project/hyperactive) (π₯ 3.4K / month Β· π¦ 5 Β· β±οΈ 24.10.2023): +- [PyPi](https://pypi.org/project/hyperactive) (π₯ 3.3K / month): ``` pip install hyperactive ``` @@ -5118,7 +5140,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/ScottfreeLLC/AlphaPy ``` -- [PyPi](https://pypi.org/project/alphapy) (π₯ 180 / month Β· β±οΈ 29.08.2020): +- [PyPi](https://pypi.org/project/alphapy) (π₯ 200 / month Β· β±οΈ 29.08.2020): ``` pip install alphapy ``` @@ -5130,19 +5152,19 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/nidhaloff/igel ``` -- [PyPi](https://pypi.org/project/igel) (π₯ 87 / month Β· β±οΈ 19.11.2021): +- [PyPi](https://pypi.org/project/igel) (π₯ 92 / month Β· β±οΈ 19.11.2021): ``` pip install igel ``` </details> -<details><summary><b><a href="https://github.com/gugarosa/opytimizer">opytimizer</a></b> (π₯19 Β· β 580) - Opytimizer is a Python library consisting of meta-heuristic.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> +<details><summary><b><a href="https://github.com/gugarosa/opytimizer">opytimizer</a></b> (π₯19 Β· β 590) - Opytimizer is a Python library consisting of meta-heuristic.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> - [GitHub](https://github.com/gugarosa/opytimizer) (π¨βπ» 4 Β· π 38 Β· π¦ 16 Β· β±οΈ 21.12.2023): ``` git clone https://github.com/gugarosa/opytimizer ``` -- [PyPi](https://pypi.org/project/opytimizer) (π₯ 190 / month Β· β±οΈ 04.05.2022): +- [PyPi](https://pypi.org/project/opytimizer) (π₯ 160 / month Β· β±οΈ 04.05.2022): ``` pip install opytimizer ``` @@ -5154,42 +5176,44 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/AutoViML/Auto_ViML ``` -- [PyPi](https://pypi.org/project/autoviml) (π₯ 940 / month Β· π¦ 2 Β· β±οΈ 01.06.2022): +- [PyPi](https://pypi.org/project/autoviml) (π₯ 750 / month Β· π¦ 2 Β· β±οΈ 01.06.2022): ``` pip install autoviml ``` </details> -<details><summary>Show 31 hidden projects...</summary> +<details><summary>Show 33 hidden projects...</summary> - <b><a href="https://github.com/optuna/optuna">Optuna</a></b> (π₯38 Β· β 9.2K) - A hyperparameter optimization framework. <code>βUnlicensed</code> -- <b><a href="https://github.com/EpistasisLab/tpot">TPOT</a></b> (π₯33 Β· β 9.4K) - A Python Automated Machine Learning tool that optimizes machine.. <code><a href="http://bit.ly/37RvQcA">βοΈLGPL-3.0</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code> - <b><a href="https://github.com/scikit-optimize/scikit-optimize">scikit-optimize</a></b> (π₯33 Β· β 2.7K Β· π) - Sequential model-based optimization with a.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> -- <b><a href="https://github.com/automl/SMAC3">SMAC3</a></b> (π₯28 Β· β 950) - SMAC3: A Versatile Bayesian Optimization Package for.. <code><a href="https://tldrlegal.com/search?q=BSD-1-Clause">βοΈBSD-1-Clause</a></code> -- <b><a href="https://github.com/shankarpandala/lazypredict">lazypredict</a></b> (π₯26 Β· β 2.5K Β· π) - Lazy Predict help build a lot of basic models without much.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code> -- <b><a href="https://github.com/Epistimio/orion">Orion</a></b> (π₯25 Β· β 280) - Asynchronous Distributed Hyperparameter Optimization. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> -- <b><a href="https://github.com/tensorflow/adanet">AdaNet</a></b> (π₯24 Β· β 3.5K Β· π) - Fast and flexible AutoML with learning guarantees. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code> -- <b><a href="https://github.com/autonomio/talos">Talos</a></b> (π₯24 Β· β 1.6K Β· π) - Hyperparameter Optimization for TensorFlow, Keras and PyTorch. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code> +- <b><a href="https://github.com/EpistasisLab/tpot">TPOT</a></b> (π₯32 Β· β 9.4K) - A Python Automated Machine Learning tool that optimizes machine.. <code><a href="http://bit.ly/37RvQcA">βοΈLGPL-3.0</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code> +- <b><a href="https://github.com/maxpumperla/hyperas">Hyperas</a></b> (π₯27 Β· β 2.2K Β· π) - Keras + Hyperopt: A very simple wrapper for convenient.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code> +- <b><a href="https://github.com/automl/SMAC3">SMAC3</a></b> (π₯27 Β· β 960) - SMAC3: A Versatile Bayesian Optimization Package for.. <code><a href="https://tldrlegal.com/search?q=BSD-1-Clause">βοΈBSD-1-Clause</a></code> +- <b><a href="https://github.com/shankarpandala/lazypredict">lazypredict</a></b> (π₯25 Β· β 2.5K Β· π) - Lazy Predict help build a lot of basic models without much.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code> +- <b><a href="https://github.com/SheffieldML/GPyOpt">GPyOpt</a></b> (π₯25 Β· β 910 Β· π) - Gaussian Process Optimization using GPy. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> +- <b><a href="https://github.com/Epistimio/orion">Orion</a></b> (π₯24 Β· β 280) - Asynchronous Distributed Hyperparameter Optimization. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> +- <b><a href="https://github.com/tensorflow/adanet">AdaNet</a></b> (π₯23 Β· β 3.5K Β· π) - Fast and flexible AutoML with learning guarantees. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code> +- <b><a href="https://github.com/autonomio/talos">Talos</a></b> (π₯23 Β· β 1.6K Β· π) - Hyperparameter Optimization for TensorFlow, Keras and PyTorch. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code> - <b><a href="https://github.com/ClimbsRocks/auto_ml">auto_ml</a></b> (π₯22 Β· β 1.6K Β· π) - [UNMAINTAINED] Automated machine learning for analytics & production. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> -- <b><a href="https://github.com/williamFalcon/test-tube">Test Tube</a></b> (π₯22 Β· β 740 Β· π) - Python library to easily log experiments and parallelize.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> +- <b><a href="https://github.com/williamFalcon/test-tube">Test Tube</a></b> (π₯22 Β· β 730 Β· π) - Python library to easily log experiments and parallelize.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> - <b><a href="https://github.com/automl/HpBandSter">HpBandSter</a></b> (π₯22 Β· β 600 Β· π) - a distributed Hyperband implementation on Steroids. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> -- <b><a href="https://github.com/claesenm/optunity">optunity</a></b> (π₯22 Β· β 410 Β· π) - optimization routines for hyperparameter tuning. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> - <b><a href="https://github.com/AxeldeRomblay/MLBox">MLBox</a></b> (π₯21 Β· β 1.5K Β· π) - MLBox is a powerful Automated Machine Learning python library. <code><a href="https://tldrlegal.com/search?q=BSD-1-Clause">βοΈBSD-1-Clause</a></code> -- <b><a href="https://github.com/Neuraxio/Neuraxle">Neuraxle</a></b> (π₯21 Β· β 590 Β· π) - The worlds cleanest AutoML library - Do hyperparameter tuning.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> +- <b><a href="https://github.com/Neuraxio/Neuraxle">Neuraxle</a></b> (π₯21 Β· β 600 Β· π) - The worlds cleanest AutoML library - Do hyperparameter tuning.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> +- <b><a href="https://github.com/claesenm/optunity">optunity</a></b> (π₯21 Β· β 410 Β· π) - optimization routines for hyperparameter tuning. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> - <b><a href="https://github.com/mindsdb/lightwood">lightwood</a></b> (π₯21 Β· β 390) - Lightwood is Legos for Machine Learning. <code><a href="http://bit.ly/2M0xdwT">βοΈGPL-3.0</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code> - <b><a href="https://github.com/rsteca/sklearn-deap">sklearn-deap</a></b> (π₯20 Β· β 750 Β· π) - Use evolutionary algorithms instead of gridsearch in.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code> +- <b><a href="https://github.com/dragonfly/dragonfly">Dragonfly</a></b> (π₯19 Β· β 820 Β· π) - An open source python library for scalable Bayesian optimisation. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> - <b><a href="https://github.com/HDI-Project/ATM">Auto Tune Models</a></b> (π₯18 Β· β 520 Β· π) - Auto Tune Models - A multi-tenant, multi-data system for.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> - <b><a href="https://github.com/sherpa-ai/sherpa">Sherpa</a></b> (π₯18 Β· β 320 Β· π) - Hyperparameter optimization that enables researchers to.. <code><a href="http://bit.ly/2M0xdwT">βοΈGPL-3.0</a></code> - <b><a href="https://github.com/tobegit3hub/advisor">Advisor</a></b> (π₯17 Β· β 1.5K Β· π) - Open-source implementation of Google Vizier for hyper parameters.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> -- <b><a href="https://github.com/dragonfly/dragonfly">Dragonfly</a></b> (π₯17 Β· β 820 Β· π) - An open source python library for scalable Bayesian optimisation. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> - <b><a href="https://github.com/cerlymarco/shap-hypetune">shap-hypetune</a></b> (π₯17 Β· β 520 Β· π) - A python package for simultaneous Hyperparameters Tuning and.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> - <b><a href="https://github.com/minimaxir/automl-gs">automl-gs</a></b> (π₯16 Β· β 1.8K Β· π) - Provide an input CSV and a target field to predict, generate a.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> - <b><a href="https://github.com/reiinakano/xcessiv">Xcessiv</a></b> (π₯16 Β· β 1.3K Β· π) - A web-based application for quick, scalable, and automated.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> - <b><a href="https://github.com/HunterMcGushion/hyperparameter_hunter">HyperparameterHunter</a></b> (π₯16 Β· β 700 Β· π) - Easy hyperparameter optimization and automatic result.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> - <b><a href="https://github.com/jmcarpenter2/parfit">Parfit</a></b> (π₯16 Β· β 200 Β· π) - A package for parallelizing the fit and flexibly scoring of.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code> - <b><a href="https://github.com/carpedm20/ENAS-pytorch">ENAS</a></b> (π₯13 Β· β 2.7K Β· π) - PyTorch implementation of Efficient Neural Architecture Search via.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> +- <b><a href="https://github.com/google/model_search">model_search</a></b> (π₯12 Β· β 3.3K Β· π) - AutoML algorithms for model architecture search at scale. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> - <b><a href="https://github.com/LGE-ARC-AdvancedAI/auptimizer">Auptimizer</a></b> (π₯12 Β· β 200 Β· π) - An automatic ML model optimization tool. <code><a href="http://bit.ly/2M0xdwT">βοΈGPL-3.0</a></code> - <b><a href="https://github.com/genixpro/hypermax">Hypermax</a></b> (π₯12 Β· β 110) - Better, faster hyper-parameter optimization. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> -- <b><a href="https://github.com/google/model_search">model_search</a></b> (π₯11 Β· β 3.3K Β· π) - AutoML algorithms for model architecture search at scale. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> - <b><a href="https://github.com/joeddav/devol">Devol</a></b> (π₯11 Β· β 950 Β· π) - Genetic neural architecture search with Keras. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> - <b><a href="https://github.com/gdikov/hypertunity">Hypertunity</a></b> (π₯9 Β· β 140 Β· π) - A toolset for black-box hyperparameter optimisation. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> </details> @@ -5201,82 +5225,66 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc _Libraries for building and evaluating reinforcement learning & agent-based systems._ -<details><summary><b><a href="https://github.com/openai/gym">OpenAI Gym</a></b> (π₯39 Β· β 33K Β· π€) - A toolkit for developing and comparing reinforcement learning.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> +<details><summary><b><a href="https://github.com/Farama-Foundation/ViZDoom">ViZDoom</a></b> (π₯30 Β· β 1.6K) - Reinforcement Learning environments based on the 1993 game Doom. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> -- [GitHub](https://github.com/openai/gym) (π¨βπ» 380 Β· π 8.6K Β· π¦ 50K Β· π 1.8K - 4% open Β· β±οΈ 30.01.2023): +- [GitHub](https://github.com/Farama-Foundation/ViZDoom) (π¨βπ» 53 Β· π 370 Β· π₯ 12K Β· π¦ 220 Β· π 460 - 8% open Β· β±οΈ 11.01.2024): ``` - git clone https://github.com/openai/gym - ``` -- [PyPi](https://pypi.org/project/gym) (π₯ 740K / month Β· π¦ 2.7K Β· β±οΈ 20.07.2023): - ``` - pip install gym + git clone https://github.com/mwydmuch/ViZDoom ``` -- [Conda](https://anaconda.org/conda-forge/gym) (π₯ 260K Β· β±οΈ 16.06.2023): +- [PyPi](https://pypi.org/project/vizdoom) (π₯ 1.5K / month Β· π¦ 17 Β· β±οΈ 16.12.2023): ``` - conda install -c conda-forge gym + pip install vizdoom ``` </details> -<details><summary><b><a href="https://github.com/Farama-Foundation/ViZDoom">ViZDoom</a></b> (π₯31 Β· β 1.6K) - Reinforcement Learning environments based on the 1993 game Doom. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> +<details><summary><b><a href="https://github.com/tensorflow/agents">TF-Agents</a></b> (π₯29 Β· β 2.7K) - TF-Agents: A reliable, scalable and easy to use TensorFlow.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/Farama-Foundation/ViZDoom) (π¨βπ» 53 Β· π 370 Β· π₯ 12K Β· π¦ 220 Β· π 460 - 8% open Β· β±οΈ 11.01.2024): +- [GitHub](https://github.com/tensorflow/agents) (π¨βπ» 150 Β· π 720 Β· π 650 - 28% open Β· β±οΈ 29.01.2024): ``` - git clone https://github.com/mwydmuch/ViZDoom + git clone https://github.com/tensorflow/agents ``` -- [PyPi](https://pypi.org/project/vizdoom) (π₯ 1.5K / month Β· π¦ 16 Β· β±οΈ 16.12.2023): +- [PyPi](https://pypi.org/project/tf-agents) (π₯ 32K / month Β· π¦ 9 Β· β±οΈ 14.12.2023): ``` - pip install vizdoom + pip install tf-agents ``` </details> -<details><summary><b><a href="https://github.com/AI4Finance-Foundation/FinRL">FinRL</a></b> (π₯29 Β· β 8.7K) - FinRL: Financial Reinforcement Learning. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> +<details><summary><b><a href="https://github.com/AI4Finance-Foundation/FinRL">FinRL</a></b> (π₯28 Β· β 8.7K) - FinRL: Financial Reinforcement Learning. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> -- [GitHub](https://github.com/AI4Finance-Foundation/FinRL) (π¨βπ» 110 Β· π 2.1K Β· π¦ 29 Β· π 670 - 29% open Β· β±οΈ 24.01.2024): +- [GitHub](https://github.com/AI4Finance-Foundation/FinRL) (π¨βπ» 110 Β· π 2.1K Β· π¦ 29 Β· π 660 - 29% open Β· β±οΈ 31.01.2024): ``` git clone https://github.com/AI4Finance-Foundation/FinRL ``` -- [PyPi](https://pypi.org/project/finrl) (π₯ 1.1K / month Β· β±οΈ 08.01.2022): +- [PyPi](https://pypi.org/project/finrl) (π₯ 1.1K / month): ``` pip install finrl ``` </details> -<details><summary><b><a href="https://github.com/tensorflow/agents">TF-Agents</a></b> (π₯29 Β· β 2.7K Β· π) - TF-Agents: A reliable, scalable and easy to use.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary> +<details><summary><b><a href="https://github.com/tensorlayer/TensorLayer">TensorLayer</a></b> (π₯28 Β· β 7.3K Β· π€) - Deep Learning and Reinforcement Learning Library for.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/tensorflow/agents) (π¨βπ» 150 Β· π 720 Β· π 650 - 28% open Β· β±οΈ 21.12.2023): +- [GitHub](https://github.com/tensorlayer/TensorLayer) (π¨βπ» 130 Β· π 1.6K Β· π₯ 2K Β· π 470 - 6% open Β· β±οΈ 18.02.2023): ``` - git clone https://github.com/tensorflow/agents + git clone https://github.com/tensorlayer/tensorlayer ``` -- [PyPi](https://pypi.org/project/tf-agents) (π₯ 27K / month Β· π¦ 9 Β· β±οΈ 14.12.2023): +- [PyPi](https://pypi.org/project/tensorlayer) (π₯ 1.3K / month Β· π¦ 40 Β· β±οΈ 15.02.2022): ``` - pip install tf-agents + pip install tensorlayer ``` </details> -<details><summary><b><a href="https://github.com/google/dopamine">Dopamine</a></b> (π₯28 Β· β 10K) - Dopamine is a research framework for fast prototyping of.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary> +<details><summary><b><a href="https://github.com/google/dopamine">Dopamine</a></b> (π₯27 Β· β 10K) - Dopamine is a research framework for fast prototyping of.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary> - [GitHub](https://github.com/google/dopamine) (π¨βπ» 15 Β· π 1.4K Β· π¦ 21 Β· π 180 - 52% open Β· β±οΈ 27.11.2023): ``` git clone https://github.com/google/dopamine ``` -- [PyPi](https://pypi.org/project/dopamine-rl) (π₯ 23K / month Β· π¦ 36 Β· β±οΈ 21.09.2022): +- [PyPi](https://pypi.org/project/dopamine-rl) (π₯ 25K / month Β· π¦ 36 Β· β±οΈ 21.09.2022): ``` pip install dopamine-rl ``` </details> -<details><summary><b><a href="https://github.com/tensorlayer/TensorLayer">TensorLayer</a></b> (π₯28 Β· β 7.3K Β· π€) - Deep Learning and Reinforcement Learning Library for.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary> - -- [GitHub](https://github.com/tensorlayer/TensorLayer) (π¨βπ» 130 Β· π 1.6K Β· π₯ 2K Β· π 470 - 6% open Β· β±οΈ 18.02.2023): - - ``` - git clone https://github.com/tensorlayer/tensorlayer - ``` -- [PyPi](https://pypi.org/project/tensorlayer) (π₯ 1.3K / month Β· π¦ 40 Β· β±οΈ 15.02.2022): - ``` - pip install tensorlayer - ``` -</details> <details><summary><b><a href="https://github.com/google-deepmind/acme">Acme</a></b> (π₯27 Β· β 3.3K) - A library of reinforcement learning components and agents. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary> - [GitHub](https://github.com/google-deepmind/acme) (π¨βπ» 84 Β· π 400 Β· π¦ 180 Β· π 260 - 22% open Β· β±οΈ 03.01.2024): @@ -5284,7 +5292,7 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst ``` git clone https://github.com/deepmind/acme ``` -- [PyPi](https://pypi.org/project/dm-acme) (π₯ 960 / month Β· π¦ 3 Β· β±οΈ 10.02.2022): +- [PyPi](https://pypi.org/project/dm-acme) (π₯ 990 / month Β· π¦ 3 Β· β±οΈ 10.02.2022): ``` pip install dm-acme ``` @@ -5293,40 +5301,40 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst conda install -c conda-forge dm-acme ``` </details> -<details><summary><b><a href="https://github.com/tensorforce/tensorforce">TensorForce</a></b> (π₯26 Β· β 3.3K) - Tensorforce: a TensorFlow library for applied.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary> +<details><summary><b><a href="https://github.com/tensorforce/tensorforce">TensorForce</a></b> (π₯26 Β· β 3.3K) - Tensorforce: a TensorFlow library for applied.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary> - [GitHub](https://github.com/tensorforce/tensorforce) (π¨βπ» 84 Β· π 540 Β· π¦ 430 Β· π 670 - 5% open Β· β±οΈ 14.08.2023): ``` git clone https://github.com/tensorforce/tensorforce ``` -- [PyPi](https://pypi.org/project/tensorforce) (π₯ 560 / month Β· π¦ 2 Β· β±οΈ 30.08.2021): +- [PyPi](https://pypi.org/project/tensorforce) (π₯ 620 / month Β· π¦ 2 Β· β±οΈ 30.08.2021): ``` pip install tensorforce ``` </details> -<details><summary><b><a href="https://github.com/google-deepmind/rlax">RLax</a></b> (π₯26 Β· β 1.1K) - A library of reinforcement learning building blocks in JAX. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://jax.readthedocs.io/en/latest/_static/favicon.png" style="display:inline;" width="13" height="13"></code></summary> +<details><summary><b><a href="https://github.com/google-deepmind/rlax">RLax</a></b> (π₯25 Β· β 1.1K) - A library of reinforcement learning building blocks in JAX. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://jax.readthedocs.io/en/latest/_static/favicon.png" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/google-deepmind/rlax) (π¨βπ» 21 Β· π 80 Β· π¦ 200 Β· π 30 - 40% open Β· β±οΈ 24.11.2023): +- [GitHub](https://github.com/google-deepmind/rlax) (π¨βπ» 21 Β· π 83 Β· π¦ 200 Β· π 25 - 28% open Β· β±οΈ 24.11.2023): ``` git clone https://github.com/deepmind/rlax ``` -- [PyPi](https://pypi.org/project/rlax) (π₯ 1.1M / month Β· π¦ 2 Β· β±οΈ 09.01.2023): +- [PyPi](https://pypi.org/project/rlax) (π₯ 1.4M / month Β· π¦ 11 Β· β±οΈ 09.01.2023): ``` pip install rlax ``` </details> -<details><summary><b><a href="https://github.com/rlworkgroup/garage">garage</a></b> (π₯25 Β· β 1.8K Β· π€) - A toolkit for reproducible reinforcement learning research. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary> +<details><summary><b><a href="https://github.com/facebookresearch/ReAgent">ReAgent</a></b> (π₯24 Β· β 3.5K) - A platform for Reasoning systems (Reinforcement Learning,.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/rlworkgroup/garage) (π¨βπ» 79 Β· π 300 Β· π¦ 98 Β· π 1K - 22% open Β· β±οΈ 04.01.2023): +- [GitHub](https://github.com/facebookresearch/ReAgent) (π¨βπ» 170 Β· π 500 Β· π 140 - 47% open Β· β±οΈ 29.01.2024): ``` - git clone https://github.com/rlworkgroup/garage + git clone https://github.com/facebookresearch/ReAgent ``` -- [PyPi](https://pypi.org/project/garage) (π₯ 520 / month Β· π¦ 2 Β· β±οΈ 23.03.2021): +- [PyPi](https://pypi.org/project/reagent) (π₯ 21 / month Β· β±οΈ 27.05.2020): ``` - pip install garage + pip install reagent ``` </details> <details><summary><b><a href="https://github.com/PaddlePaddle/PARL">PARL</a></b> (π₯24 Β· β 3.1K Β· π€) - A high-performance distributed training framework for.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1M" style="display:inline;" width="13" height="13"></code></summary> @@ -5336,38 +5344,26 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst ``` git clone https://github.com/PaddlePaddle/PARL ``` -- [PyPi](https://pypi.org/project/parl) (π₯ 690 / month Β· π¦ 1 Β· β±οΈ 13.05.2022): +- [PyPi](https://pypi.org/project/parl) (π₯ 730 / month Β· π¦ 1 Β· β±οΈ 13.05.2022): ``` pip install parl ``` </details> -<details><summary><b><a href="https://github.com/facebookresearch/ReAgent">ReAgent</a></b> (π₯23 Β· β 3.5K) - A platform for Reasoning systems (Reinforcement Learning,.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> - -- [GitHub](https://github.com/facebookresearch/ReAgent) (π¨βπ» 160 Β· π 500 Β· π 140 - 47% open Β· β±οΈ 25.01.2024): - - ``` - git clone https://github.com/facebookresearch/ReAgent - ``` -- [PyPi](https://pypi.org/project/reagent) (π₯ 16 / month Β· β±οΈ 27.05.2020): - ``` - pip install reagent - ``` -</details> -<details><summary><b><a href="https://github.com/pfnet/pfrl">PFRL</a></b> (π₯21 Β· β 1.1K) - PFRL: a PyTorch-based deep reinforcement learning library. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> +<details><summary><b><a href="https://github.com/pfnet/pfrl">PFRL</a></b> (π₯21 Β· β 1.1K Β· π€) - PFRL: a PyTorch-based deep reinforcement learning library. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> - [GitHub](https://github.com/pfnet/pfrl) (π¨βπ» 19 Β· π 150 Β· π¦ 99 Β· π 78 - 42% open Β· β±οΈ 16.07.2023): ``` git clone https://github.com/pfnet/pfrl ``` -- [PyPi](https://pypi.org/project/pfrl) (π₯ 830 / month Β· π¦ 1 Β· β±οΈ 16.07.2023): +- [PyPi](https://pypi.org/project/pfrl) (π₯ 930 / month Β· π¦ 1 Β· β±οΈ 16.07.2023): ``` pip install pfrl ``` </details> -<details><summary><b><a href="https://github.com/google-research/rliable">rliable</a></b> (π₯14 Β· β 660 Β· π€) - [NeurIPS21 Outstanding Paper] Library for reliable evaluation on.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> +<details><summary><b><a href="https://github.com/google-research/rliable">rliable</a></b> (π₯13 Β· β 660) - [NeurIPS21 Outstanding Paper] Library for reliable evaluation on RL.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> -- [GitHub](https://github.com/google-research/rliable) (π¨βπ» 6 Β· π 42 Β· π¦ 110 Β· π 14 - 14% open Β· β±οΈ 29.05.2023): +- [GitHub](https://github.com/google-research/rliable) (π¨βπ» 6 Β· π 42 Β· π¦ 110 Β· π 14 - 14% open Β· β±οΈ 29.01.2024): ``` git clone https://github.com/google-research/rliable @@ -5377,16 +5373,18 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst pip install rliable` ``` </details> -<details><summary>Show 9 hidden projects...</summary> +<details><summary>Show 11 hidden projects...</summary> -- <b><a href="https://github.com/openai/baselines">baselines</a></b> (π₯29 Β· β 15K Β· π) - OpenAI Baselines: high-quality implementations of reinforcement.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> +- <b><a href="https://github.com/openai/gym">OpenAI Gym</a></b> (π₯39 Β· β 33K Β· π) - A toolkit for developing and comparing reinforcement learning.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> - <b><a href="https://github.com/keras-rl/keras-rl">keras-rl</a></b> (π₯28 Β· β 5.5K Β· π) - Deep Reinforcement Learning for Keras. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code> +- <b><a href="https://github.com/openai/baselines">baselines</a></b> (π₯26 Β· β 15K Β· π) - OpenAI Baselines: high-quality implementations of reinforcement.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> +- <b><a href="https://github.com/rlworkgroup/garage">garage</a></b> (π₯25 Β· β 1.8K Β· π) - A toolkit for reproducible reinforcement learning research. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code> - <b><a href="https://github.com/hill-a/stable-baselines">Stable Baselines</a></b> (π₯24 Β· β 4K Β· π) - A fork of OpenAI Baselines, implementations of.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> - <b><a href="https://github.com/chainer/chainerrl">ChainerRL</a></b> (π₯24 Β· β 1.1K Β· π) - ChainerRL is a deep reinforcement learning library built on top of.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> - <b><a href="https://github.com/google-deepmind/trfl">TRFL</a></b> (π₯21 Β· β 3.1K Β· π) - TensorFlow Reinforcement Learning. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code> - <b><a href="https://github.com/IntelLabs/coach">Coach</a></b> (π₯20 Β· β 2.3K Β· π) - Reinforcement Learning Coach by Intel AI Lab enables easy.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> -- <b><a href="https://github.com/SerpentAI/SerpentAI">SerpentAI</a></b> (π₯18 Β· β 6.6K Β· π) - Game Agent Framework. Helping you create AIs / Bots that learn to.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> -- <b><a href="https://github.com/google-deepmind/lab">DeepMind Lab</a></b> (π₯17 Β· β 7K Β· π€) - A customisable 3D platform for agent-based AI research. <code>βUnlicensed</code> +- <b><a href="https://github.com/google-deepmind/lab">DeepMind Lab</a></b> (π₯17 Β· β 7K Β· π) - A customisable 3D platform for agent-based AI research. <code>βUnlicensed</code> +- <b><a href="https://github.com/SerpentAI/SerpentAI">SerpentAI</a></b> (π₯16 Β· β 6.6K Β· π) - Game Agent Framework. Helping you create AIs / Bots that learn to.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> - <b><a href="https://github.com/enlite-ai/maze">Maze</a></b> (π₯12 Β· β 250 Β· π) - Maze Applied Reinforcement Learning Framework. <code><a href="https://tldrlegal.com/search?q=Custom">βοΈCustom</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code> </details> <br> @@ -5399,19 +5397,19 @@ _Libraries for building and evaluating recommendation systems._ <details><summary><b><a href="https://github.com/recommenders-team/recommenders">Recommenders</a></b> (π₯35 Β· β 17K) - Best Practices on Recommendation Systems. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> -- [GitHub](https://github.com/recommenders-team/recommenders) (π¨βπ» 130 Β· π 3K Β· π₯ 470 Β· π¦ 100 Β· π 820 - 20% open Β· β±οΈ 15.01.2024): +- [GitHub](https://github.com/recommenders-team/recommenders) (π¨βπ» 130 Β· π 2.9K Β· π₯ 470 Β· π¦ 100 Β· π 820 - 20% open Β· β±οΈ 30.01.2024): ``` git clone https://github.com/microsoft/recommenders ``` -- [PyPi](https://pypi.org/project/recommenders) (π₯ 61K / month Β· π¦ 2 Β· β±οΈ 01.04.2022): +- [PyPi](https://pypi.org/project/recommenders) (π₯ 60K / month): ``` pip install recommenders ``` </details> <details><summary><b><a href="https://github.com/lyst/lightfm">lightfm</a></b> (π₯30 Β· β 4.5K Β· π€) - A Python implementation of LightFM, a hybrid recommendation.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> -- [GitHub](https://github.com/lyst/lightfm) (π¨βπ» 47 Β· π 660 Β· π¦ 1.3K Β· π 490 - 27% open Β· β±οΈ 30.04.2023): +- [GitHub](https://github.com/lyst/lightfm) (π¨βπ» 47 Β· π 660 Β· π¦ 1.3K Β· π 500 - 28% open Β· β±οΈ 30.04.2023): ``` git clone https://github.com/lyst/lightfm @@ -5425,14 +5423,14 @@ _Libraries for building and evaluating recommendation systems._ conda install -c conda-forge lightfm ``` </details> -<details><summary><b><a href="https://github.com/benfred/implicit">implicit</a></b> (π₯30 Β· β 3.4K) - Fast Python Collaborative Filtering for Implicit Feedback Datasets. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> +<details><summary><b><a href="https://github.com/benfred/implicit">implicit</a></b> (π₯29 Β· β 3.4K) - Fast Python Collaborative Filtering for Implicit Feedback Datasets. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> - [GitHub](https://github.com/benfred/implicit) (π¨βπ» 34 Β· π 600 Β· π₯ 670 Β· π¦ 1.2K Β· π 480 - 15% open Β· β±οΈ 21.11.2023): ``` git clone https://github.com/benfred/implicit ``` -- [PyPi](https://pypi.org/project/implicit) (π₯ 160K / month Β· π¦ 40 Β· β±οΈ 29.09.2023): +- [PyPi](https://pypi.org/project/implicit) (π₯ 170K / month Β· π¦ 40 Β· β±οΈ 29.09.2023): ``` pip install implicit ``` @@ -5443,7 +5441,7 @@ _Libraries for building and evaluating recommendation systems._ </details> <details><summary><b><a href="https://github.com/PreferredAI/cornac">Cornac</a></b> (π₯29 Β· β 780) - A Comparative Framework for Multimodal Recommender Systems. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> -- [GitHub](https://github.com/PreferredAI/cornac) (π¨βπ» 18 Β· π 120 Β· π¦ 190 Β· π 140 - 7% open Β· β±οΈ 24.01.2024): +- [GitHub](https://github.com/PreferredAI/cornac) (π¨βπ» 18 Β· π 120 Β· π¦ 200 Β· π 140 - 7% open Β· β±οΈ 24.01.2024): ``` git clone https://github.com/PreferredAI/cornac @@ -5452,96 +5450,81 @@ _Libraries for building and evaluating recommendation systems._ ``` pip install cornac ``` -- [Conda](https://anaconda.org/conda-forge/cornac) (π₯ 340K Β· β±οΈ 12.12.2023): +- [Conda](https://anaconda.org/conda-forge/cornac) (π₯ 350K Β· β±οΈ 12.12.2023): ``` conda install -c conda-forge cornac ``` </details> -<details><summary><b><a href="https://github.com/tensorflow/recommenders">TF Recommenders</a></b> (π₯28 Β· β 1.7K) - TensorFlow Recommenders is a library for building.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary> +<details><summary><b><a href="https://github.com/pytorch/torchrec">torchrec</a></b> (π₯28 Β· β 1.6K) - Pytorch domain library for recommendation systems. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary> -- [GitHub](https://github.com/tensorflow/recommenders) (π¨βπ» 42 Β· π 250 Β· π¦ 280 Β· π 420 - 55% open Β· β±οΈ 29.11.2023): +- [GitHub](https://github.com/pytorch/torchrec) (π¨βπ» 200 Β· π 320 Β· π¦ 86 Β· π 120 - 19% open Β· β±οΈ 01.02.2024): ``` - git clone https://github.com/tensorflow/recommenders + git clone https://github.com/pytorch/torchrec ``` -- [PyPi](https://pypi.org/project/tensorflow-recommenders) (π₯ 370K / month Β· π¦ 1 Β· β±οΈ 03.02.2023): +- [PyPi](https://pypi.org/project/torchrec-nightly-cpu) (π₯ 85 / month): ``` - pip install tensorflow-recommenders + pip install torchrec-nightly-cpu ``` </details> -<details><summary><b><a href="https://github.com/pytorch/torchrec">torchrec</a></b> (π₯28 Β· β 1.6K) - Pytorch domain library for recommendation systems. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary> +<details><summary><b><a href="https://github.com/tensorflow/recommenders">TF Recommenders</a></b> (π₯27 Β· β 1.7K) - TensorFlow Recommenders is a library for building.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/pytorch/torchrec) (π¨βπ» 200 Β· π 320 Β· π¦ 84 Β· π 230 - 56% open Β· β±οΈ 25.01.2024): +- [GitHub](https://github.com/tensorflow/recommenders) (π¨βπ» 42 Β· π 250 Β· π¦ 280 Β· π 420 - 55% open Β· β±οΈ 29.11.2023): ``` - git clone https://github.com/pytorch/torchrec + git clone https://github.com/tensorflow/recommenders ``` -- [PyPi](https://pypi.org/project/torchrec-nightly-cpu) (π₯ 90 / month Β· β±οΈ 12.05.2022): +- [PyPi](https://pypi.org/project/tensorflow-recommenders) (π₯ 390K / month Β· π¦ 1 Β· β±οΈ 03.02.2023): ``` - pip install torchrec-nightly-cpu + pip install tensorflow-recommenders ``` </details> -<details><summary><b><a href="https://github.com/NicolasHug/Surprise">scikit-surprise</a></b> (π₯27 Β· β 6.1K Β· π€) - A Python scikit for building and analyzing recommender.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary> +<details><summary><b><a href="https://github.com/RUCAIBox/RecBole">RecBole</a></b> (π₯26 Β· β 3K) - A unified, comprehensive and efficient recommendation library. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/NicolasHug/Surprise) (π¨βπ» 45 Β· π 980 Β· π¦ 21 Β· π 380 - 19% open Β· β±οΈ 27.01.2023): +- [GitHub](https://github.com/RUCAIBox/RecBole) (π¨βπ» 70 Β· π 560 Β· π 880 - 23% open Β· β±οΈ 25.11.2023): ``` - git clone https://github.com/NicolasHug/Surprise + git clone https://github.com/RUCAIBox/RecBole ``` -- [PyPi](https://pypi.org/project/scikit-surprise) (π₯ 130K / month Β· π¦ 50 Β· β±οΈ 23.09.2022): +- [PyPi](https://pypi.org/project/recbole) (π₯ 1.9K / month Β· π¦ 2 Β· β±οΈ 31.10.2023): ``` - pip install scikit-surprise + pip install recbole ``` -- [Conda](https://anaconda.org/conda-forge/scikit-surprise) (π₯ 350K Β· β±οΈ 06.10.2023): +- [Conda](https://anaconda.org/aibox/recbole) (π₯ 4.4K Β· β±οΈ 01.11.2023): ``` - conda install -c conda-forge scikit-surprise + conda install -c aibox recbole ``` </details> -<details><summary><b><a href="https://github.com/tensorflow/ranking">TF Ranking</a></b> (π₯27 Β· β 2.7K) - Learning to Rank in TensorFlow. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary> +<details><summary><b><a href="https://github.com/tensorflow/ranking">TF Ranking</a></b> (π₯26 Β· β 2.7K) - Learning to Rank in TensorFlow. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary> - [GitHub](https://github.com/tensorflow/ranking) (π¨βπ» 33 Β· π 470 Β· π 320 - 25% open Β· β±οΈ 26.09.2023): ``` git clone https://github.com/tensorflow/ranking ``` -- [PyPi](https://pypi.org/project/tensorflow_ranking) (π₯ 82K / month Β· π¦ 13 Β· β±οΈ 11.08.2023): +- [PyPi](https://pypi.org/project/tensorflow_ranking) (π₯ 88K / month Β· π¦ 13 Β· β±οΈ 11.08.2023): ``` pip install tensorflow_ranking ``` </details> -<details><summary><b><a href="https://github.com/RUCAIBox/RecBole">RecBole</a></b> (π₯26 Β· β 3K) - A unified, comprehensive and efficient recommendation library. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> - -- [GitHub](https://github.com/RUCAIBox/RecBole) (π¨βπ» 70 Β· π 560 Β· π 870 - 22% open Β· β±οΈ 25.11.2023): - - ``` - git clone https://github.com/RUCAIBox/RecBole - ``` -- [PyPi](https://pypi.org/project/recbole) (π₯ 1.7K / month Β· π¦ 2 Β· β±οΈ 31.10.2023): - ``` - pip install recbole - ``` -- [Conda](https://anaconda.org/aibox/recbole) (π₯ 4.4K Β· β±οΈ 01.11.2023): - ``` - conda install -c aibox recbole - ``` -</details> -<details><summary><b><a href="https://github.com/statisticianinstilettos/recmetrics">recmetrics</a></b> (π₯21 Β· β 550) - A library of metrics for evaluating recommender systems. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> +<details><summary><b><a href="https://github.com/statisticianinstilettos/recmetrics">recmetrics</a></b> (π₯20 Β· β 550) - A library of metrics for evaluating recommender systems. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> -- [GitHub](https://github.com/statisticianinstilettos/recmetrics) (π¨βπ» 20 Β· π 97 Β· π₯ 5 Β· π¦ 48 Β· π 28 - 46% open Β· β±οΈ 04.10.2023): +- [GitHub](https://github.com/statisticianinstilettos/recmetrics) (π¨βπ» 20 Β· π 95 Β· π₯ 5 Β· π¦ 48 Β· π 25 - 40% open Β· β±οΈ 04.10.2023): ``` git clone https://github.com/statisticianinstilettos/recmetrics ``` -- [PyPi](https://pypi.org/project/recmetrics) (π₯ 11K / month Β· β±οΈ 26.04.2022): +- [PyPi](https://pypi.org/project/recmetrics) (π₯ 11K / month): ``` pip install recmetrics ``` </details> -<details><summary>Show 7 hidden projects...</summary> +<details><summary>Show 8 hidden projects...</summary> +- <b><a href="https://github.com/NicolasHug/Surprise">scikit-surprise</a></b> (π₯27 Β· β 6.1K Β· π) - A Python scikit for building and analyzing recommender.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> - <b><a href="https://github.com/lenskit/lkpy">lkpy</a></b> (π₯25 Β· β 250) - Python recommendation toolkit. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> - <b><a href="https://github.com/jfkirk/tensorrec">tensorrec</a></b> (π₯21 Β· β 1.3K Β· π) - A TensorFlow recommendation algorithm and framework in.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code> -- <b><a href="https://github.com/ibayer/fastFM">fastFM</a></b> (π₯21 Β· β 1.1K Β· π) - fastFM: A Library for Factorization Machines. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> +- <b><a href="https://github.com/ibayer/fastFM">fastFM</a></b> (π₯19 Β· β 1.1K Β· π) - fastFM: A Library for Factorization Machines. <code>βUnlicensed</code> - <b><a href="https://github.com/maciejkula/spotlight">Spotlight</a></b> (π₯18 Β· β 2.9K Β· π) - Deep recommender models using PyTorch. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code> - <b><a href="https://github.com/caserec/CaseRecommender">Case Recommender</a></b> (π₯18 Β· β 450 Β· π) - Case Recommender: A Flexible and Extensible Python.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code> - <b><a href="https://github.com/ylongqi/openrec">OpenRec</a></b> (π₯16 Β· β 400 Β· π) - OpenRec is an open-source and modular library for neural network-.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> @@ -5557,24 +5540,24 @@ _Libraries for encrypted and privacy-preserving machine learning using methods l <details><summary><b><a href="https://github.com/OpenMined/PySyft">PySyft</a></b> (π₯36 Β· β 9.1K) - Perform data science on data that remains in someone elses server. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/OpenMined/PySyft) (π¨βπ» 500 Β· π 2K Β· π₯ 2K Β· π¦ 1 Β· π 3.5K - 4% open Β· β±οΈ 25.01.2024): +- [GitHub](https://github.com/OpenMined/PySyft) (π¨βπ» 500 Β· π 2K Β· π₯ 2.1K Β· π¦ 1 Β· π 3.5K - 4% open Β· β±οΈ 01.02.2024): ``` git clone https://github.com/OpenMined/PySyft ``` -- [PyPi](https://pypi.org/project/syft) (π₯ 5.4K / month Β· π¦ 5 Β· β±οΈ 21.01.2024): +- [PyPi](https://pypi.org/project/syft) (π₯ 5.8K / month Β· π¦ 5 Β· β±οΈ 31.01.2024): ``` pip install syft ``` </details> -<details><summary><b><a href="https://github.com/pytorch/opacus">Opacus</a></b> (π₯28 Β· β 1.5K) - Training PyTorch models with differential privacy. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> +<details><summary><b><a href="https://github.com/pytorch/opacus">Opacus</a></b> (π₯29 Β· β 1.5K) - Training PyTorch models with differential privacy. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/pytorch/opacus) (π¨βπ» 74 Β· π 300 Β· π₯ 110 Β· π¦ 720 Β· π 270 - 24% open Β· β±οΈ 05.01.2024): +- [GitHub](https://github.com/pytorch/opacus) (π¨βπ» 74 Β· π 300 Β· π₯ 110 Β· π¦ 720 Β· π 270 - 24% open Β· β±οΈ 31.01.2024): ``` git clone https://github.com/pytorch/opacus ``` -- [PyPi](https://pypi.org/project/opacus) (π₯ 46K / month Β· π¦ 19 Β· β±οΈ 06.05.2022): +- [PyPi](https://pypi.org/project/opacus) (π₯ 56K / month Β· π¦ 19 Β· β±οΈ 06.05.2022): ``` pip install opacus ``` @@ -5585,7 +5568,7 @@ _Libraries for encrypted and privacy-preserving machine learning using methods l </details> <details><summary><b><a href="https://github.com/FederatedAI/FATE">FATE</a></b> (π₯27 Β· β 5.4K) - An Industrial Grade Federated Learning Framework. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> -- [GitHub](https://github.com/FederatedAI/FATE) (π¨βπ» 100 Β· π 1.6K Β· π 1.9K - 43% open Β· β±οΈ 22.01.2024): +- [GitHub](https://github.com/FederatedAI/FATE) (π¨βπ» 100 Β· π 1.6K Β· π 1.9K - 43% open Β· β±οΈ 31.01.2024): ``` git clone https://github.com/FederatedAI/FATE @@ -5597,12 +5580,12 @@ _Libraries for encrypted and privacy-preserving machine learning using methods l </details> <details><summary><b><a href="https://github.com/tensorflow/privacy">TensorFlow Privacy</a></b> (π₯26 Β· β 1.8K) - Library for training machine learning models with.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/tensorflow/privacy) (π¨βπ» 58 Β· π 430 Β· π₯ 130 Β· π 200 - 55% open Β· β±οΈ 14.12.2023): +- [GitHub](https://github.com/tensorflow/privacy) (π¨βπ» 58 Β· π 430 Β· π₯ 140 Β· π 200 - 55% open Β· β±οΈ 14.12.2023): ``` git clone https://github.com/tensorflow/privacy ``` -- [PyPi](https://pypi.org/project/tensorflow-privacy) (π₯ 14K / month Β· π¦ 14 Β· β±οΈ 11.10.2023): +- [PyPi](https://pypi.org/project/tensorflow-privacy) (π₯ 16K / month Β· π¦ 14 Β· β±οΈ 11.10.2023): ``` pip install tensorflow-privacy ``` @@ -5614,7 +5597,7 @@ _Libraries for encrypted and privacy-preserving machine learning using methods l ``` git clone https://github.com/tf-encrypted/tf-encrypted ``` -- [PyPi](https://pypi.org/project/tf-encrypted) (π₯ 710 / month Β· π¦ 9 Β· β±οΈ 16.11.2022): +- [PyPi](https://pypi.org/project/tf-encrypted) (π₯ 550 / month Β· π¦ 9 Β· β±οΈ 16.11.2022): ``` pip install tf-encrypted ``` @@ -5626,7 +5609,7 @@ _Libraries for encrypted and privacy-preserving machine learning using methods l ``` git clone https://github.com/facebookresearch/CrypTen ``` -- [PyPi](https://pypi.org/project/crypten) (π₯ 240 / month Β· π¦ 1 Β· β±οΈ 08.12.2022): +- [PyPi](https://pypi.org/project/crypten) (π₯ 300 / month Β· π¦ 1 Β· β±οΈ 08.12.2022): ``` pip install crypten ``` @@ -5643,30 +5626,30 @@ _Libraries for encrypted and privacy-preserving machine learning using methods l _Libraries to organize, track, and visualize machine learning experiments._ -<details><summary><b><a href="https://github.com/mlflow/mlflow">mlflow</a></b> (π₯44 Β· β 16K) - Open source platform for the machine learning lifecycle. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> +<details><summary><b><a href="https://github.com/mlflow/mlflow">mlflow</a></b> (π₯44 Β· β 17K) - Open source platform for the machine learning lifecycle. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> -- [GitHub](https://github.com/mlflow/mlflow) (π¨βπ» 690 Β· π 3.8K Β· π¦ 29K Β· π 3.6K - 36% open Β· β±οΈ 25.01.2024): +- [GitHub](https://github.com/mlflow/mlflow) (π¨βπ» 690 Β· π 3.8K Β· π¦ 30K Β· π 3.6K - 36% open Β· β±οΈ 01.02.2024): ``` git clone https://github.com/mlflow/mlflow ``` -- [PyPi](https://pypi.org/project/mlflow) (π₯ 14M / month Β· π¦ 540 Β· β±οΈ 14.12.2023): +- [PyPi](https://pypi.org/project/mlflow) (π₯ 15M / month Β· π¦ 540 Β· β±οΈ 26.01.2024): ``` pip install mlflow ``` -- [Conda](https://anaconda.org/conda-forge/mlflow) (π₯ 1.7M Β· β±οΈ 14.12.2023): +- [Conda](https://anaconda.org/conda-forge/mlflow) (π₯ 1.7M Β· β±οΈ 26.01.2024): ``` conda install -c conda-forge mlflow ``` </details> <details><summary><b><a href="https://github.com/tensorflow/tensorboard">Tensorboard</a></b> (π₯42 Β· β 6.5K) - TensorFlows Visualization Toolkit. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/tensorflow/tensorboard) (π¨βπ» 310 Β· π 1.6K Β· π¦ 210K Β· π 1.9K - 34% open Β· β±οΈ 25.01.2024): +- [GitHub](https://github.com/tensorflow/tensorboard) (π¨βπ» 310 Β· π 1.6K Β· π¦ 210K Β· π 1.9K - 34% open Β· β±οΈ 01.02.2024): ``` git clone https://github.com/tensorflow/tensorboard ``` -- [PyPi](https://pypi.org/project/tensorboard) (π₯ 21M / month Β· π¦ 2.9K Β· β±οΈ 02.11.2023): +- [PyPi](https://pypi.org/project/tensorboard) (π₯ 22M / month Β· π¦ 2.9K Β· β±οΈ 02.11.2023): ``` pip install tensorboard ``` @@ -5677,28 +5660,28 @@ _Libraries to organize, track, and visualize machine learning experiments._ </details> <details><summary><b><a href="https://github.com/iterative/dvc">DVC</a></b> (π₯41 Β· β 13K) - ML Experiments Management with Git. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> -- [GitHub](https://github.com/iterative/dvc) (π¨βπ» 290 Β· π 1.1K Β· π₯ 45K Β· π¦ 12K Β· π 4.6K - 11% open Β· β±οΈ 24.01.2024): +- [GitHub](https://github.com/iterative/dvc) (π¨βπ» 290 Β· π 1.1K Β· π₯ 44K Β· π¦ 12K Β· π 4.6K - 11% open Β· β±οΈ 01.02.2024): ``` git clone https://github.com/iterative/dvc ``` -- [PyPi](https://pypi.org/project/dvc) (π₯ 620K / month Β· π¦ 93 Β· β±οΈ 24.01.2024): +- [PyPi](https://pypi.org/project/dvc) (π₯ 690K / month Β· π¦ 94 Β· β±οΈ 01.02.2024): ``` pip install dvc ``` -- [Conda](https://anaconda.org/conda-forge/dvc) (π₯ 1.8M Β· β±οΈ 19.01.2024): +- [Conda](https://anaconda.org/conda-forge/dvc) (π₯ 1.8M Β· β±οΈ 01.02.2024): ``` conda install -c conda-forge dvc ``` </details> <details><summary><b><a href="https://github.com/wandb/wandb">wandb client</a></b> (π₯40 Β· β 7.8K) - A tool for visualizing and tracking your machine learning.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> -- [GitHub](https://github.com/wandb/wandb) (π¨βπ» 170 Β· π 590 Β· π¦ 37K Β· π 2.9K - 28% open Β· β±οΈ 24.01.2024): +- [GitHub](https://github.com/wandb/wandb) (π¨βπ» 170 Β· π 600 Β· π¦ 38K Β· π 3K - 28% open Β· β±οΈ 31.01.2024): ``` git clone https://github.com/wandb/client ``` -- [PyPi](https://pypi.org/project/wandb) (π₯ 11M / month Β· π¦ 700 Β· β±οΈ 09.01.2024): +- [PyPi](https://pypi.org/project/wandb) (π₯ 12M / month Β· π¦ 710 Β· β±οΈ 09.01.2024): ``` pip install wandb ``` @@ -5709,28 +5692,28 @@ _Libraries to organize, track, and visualize machine learning experiments._ </details> <details><summary><b><a href="https://github.com/aws/sagemaker-python-sdk">SageMaker SDK</a></b> (π₯40 Β· β 2K) - A library for training and deploying machine learning.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1X" style="display:inline;" width="13" height="13"></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/aws/sagemaker-python-sdk) (π¨βπ» 420 Β· π 1.1K Β· π¦ 3.5K Β· π 1.4K - 19% open Β· β±οΈ 24.01.2024): +- [GitHub](https://github.com/aws/sagemaker-python-sdk) (π¨βπ» 420 Β· π 1.1K Β· π¦ 3.5K Β· π 1.4K - 18% open Β· β±οΈ 31.01.2024): ``` git clone https://github.com/aws/sagemaker-python-sdk ``` -- [PyPi](https://pypi.org/project/sagemaker) (π₯ 38M / month Β· π¦ 92 Β· β±οΈ 23.01.2024): +- [PyPi](https://pypi.org/project/sagemaker) (π₯ 33M / month Β· π¦ 92 Β· β±οΈ 01.02.2024): ``` pip install sagemaker ``` -- [Conda](https://anaconda.org/conda-forge/sagemaker-python-sdk) (π₯ 710K Β· β±οΈ 27.11.2023): +- [Conda](https://anaconda.org/conda-forge/sagemaker-python-sdk) (π₯ 710K Β· β±οΈ 01.02.2024): ``` conda install -c conda-forge sagemaker-python-sdk ``` </details> -<details><summary><b><a href="https://github.com/pycaret/pycaret">PyCaret</a></b> (π₯38 Β· β 8.1K) - An open-source, low-code machine learning library in Python. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> +<details><summary><b><a href="https://github.com/pycaret/pycaret">PyCaret</a></b> (π₯38 Β· β 8.2K) - An open-source, low-code machine learning library in Python. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> -- [GitHub](https://github.com/pycaret/pycaret) (π¨βπ» 130 Β· π 1.7K Β· π₯ 680 Β· π¦ 5K Β· π 2.2K - 14% open Β· β±οΈ 14.01.2024): +- [GitHub](https://github.com/pycaret/pycaret) (π¨βπ» 130 Β· π 1.7K Β· π₯ 680 Β· π¦ 5.1K Β· π 2.2K - 14% open Β· β±οΈ 14.01.2024): ``` git clone https://github.com/pycaret/pycaret ``` -- [PyPi](https://pypi.org/project/pycaret) (π₯ 290K / month Β· π¦ 17 Β· β±οΈ 12.11.2023): +- [PyPi](https://pypi.org/project/pycaret) (π₯ 300K / month Β· π¦ 17 Β· β±οΈ 12.11.2023): ``` pip install pycaret ``` @@ -5741,28 +5724,28 @@ _Libraries to organize, track, and visualize machine learning experiments._ </details> <details><summary><b><a href="https://github.com/snakemake/snakemake">snakemake</a></b> (π₯35 Β· β 2K) - This is the development home of the workflow management system.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> -- [GitHub](https://github.com/snakemake/snakemake) (π¨βπ» 310 Β· π 500 Β· π¦ 1.8K Β· π 1.6K - 62% open Β· β±οΈ 25.01.2024): +- [GitHub](https://github.com/snakemake/snakemake) (π¨βπ» 320 Β· π 500 Β· π¦ 1.9K Β· π 1.6K - 62% open Β· β±οΈ 01.02.2024): ``` git clone https://github.com/snakemake/snakemake ``` -- [PyPi](https://pypi.org/project/snakemake) (π₯ 93K / month Β· π¦ 260 Β· β±οΈ 25.01.2024): +- [PyPi](https://pypi.org/project/snakemake) (π₯ 110K / month Β· π¦ 260 Β· β±οΈ 30.01.2024): ``` pip install snakemake ``` -- [Conda](https://anaconda.org/bioconda/snakemake) (π₯ 960K Β· β±οΈ 21.01.2024): +- [Conda](https://anaconda.org/bioconda/snakemake) (π₯ 960K Β· β±οΈ 30.01.2024): ``` conda install -c bioconda snakemake ``` </details> <details><summary><b><a href="https://github.com/allegroai/clearml">ClearML</a></b> (π₯34 Β· β 5K) - ClearML - Auto-Magical CI/CD to streamline your ML workflow... <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> -- [GitHub](https://github.com/allegroai/clearml) (π¨βπ» 88 Β· π 630 Β· π₯ 2K Β· π¦ 910 Β· π 940 - 44% open Β· β±οΈ 23.01.2024): +- [GitHub](https://github.com/allegroai/clearml) (π¨βπ» 88 Β· π 630 Β· π₯ 2K Β· π¦ 920 Β· π 940 - 44% open Β· β±οΈ 01.02.2024): ``` git clone https://github.com/allegroai/clearml ``` -- [PyPi](https://pypi.org/project/clearml) (π₯ 220K / month Β· π¦ 17 Β· β±οΈ 18.01.2024): +- [PyPi](https://pypi.org/project/clearml) (π₯ 230K / month Β· π¦ 17 Β· β±οΈ 18.01.2024): ``` pip install clearml ``` @@ -5778,67 +5761,67 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` git clone https://github.com/Azure/MachineLearningNotebooks ``` -- [PyPi](https://pypi.org/project/azureml-sdk) (π₯ 460K / month Β· π¦ 48 Β· β±οΈ 09.11.2023): +- [PyPi](https://pypi.org/project/azureml-sdk) (π₯ 500K / month Β· π¦ 48 Β· β±οΈ 09.11.2023): ``` pip install azureml-sdk ``` </details> -<details><summary><b><a href="https://github.com/lanpa/tensorboardX">tensorboardX</a></b> (π₯32 Β· β 7.8K) - tensorboard for pytorch (and chainer, mxnet, numpy, ...). <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> +<details><summary><b><a href="https://github.com/Netflix/metaflow">Metaflow</a></b> (π₯32 Β· β 7.3K) - Build and manage real-life ML, AI, and data science projects with.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> -- [GitHub](https://github.com/lanpa/tensorboardX) (π¨βπ» 82 Β· π 870 Β· π₯ 410 Β· π¦ 39K Β· π 450 - 17% open Β· β±οΈ 12.11.2023): +- [GitHub](https://github.com/Netflix/metaflow) (π¨βπ» 79 Β· π 710 Β· π¦ 580 Β· π 650 - 45% open Β· β±οΈ 30.01.2024): ``` - git clone https://github.com/lanpa/tensorboardX + git clone https://github.com/Netflix/metaflow ``` -- [PyPi](https://pypi.org/project/tensorboardX) (π₯ 2M / month Β· π¦ 1K Β· β±οΈ 20.08.2023): +- [PyPi](https://pypi.org/project/metaflow) (π₯ 140K / month Β· π¦ 27 Β· β±οΈ 30.01.2024): ``` - pip install tensorboardX + pip install metaflow ``` -- [Conda](https://anaconda.org/conda-forge/tensorboardx) (π₯ 1.1M Β· β±οΈ 20.08.2023): +- [Conda](https://anaconda.org/conda-forge/metaflow) (π₯ 160K Β· β±οΈ 15.01.2024): ``` - conda install -c conda-forge tensorboardx + conda install -c conda-forge metaflow ``` </details> -<details><summary><b><a href="https://github.com/Netflix/metaflow">Metaflow</a></b> (π₯32 Β· β 7.3K) - Build and manage real-life ML, AI, and data science projects with.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> +<details><summary><b><a href="https://github.com/lanpa/tensorboardX">tensorboardX</a></b> (π₯31 Β· β 7.8K) - tensorboard for pytorch (and chainer, mxnet, numpy, ...). <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> -- [GitHub](https://github.com/Netflix/metaflow) (π¨βπ» 78 Β· π 700 Β· π¦ 580 Β· π 650 - 45% open Β· β±οΈ 25.01.2024): +- [GitHub](https://github.com/lanpa/tensorboardX) (π¨βπ» 82 Β· π 870 Β· π₯ 410 Β· π¦ 39K Β· π 450 - 17% open Β· β±οΈ 12.11.2023): ``` - git clone https://github.com/Netflix/metaflow + git clone https://github.com/lanpa/tensorboardX ``` -- [PyPi](https://pypi.org/project/metaflow) (π₯ 110K / month Β· π¦ 27 Β· β±οΈ 18.01.2024): +- [PyPi](https://pypi.org/project/tensorboardX) (π₯ 2.2M / month Β· π¦ 1K Β· β±οΈ 20.08.2023): ``` - pip install metaflow + pip install tensorboardX ``` -- [Conda](https://anaconda.org/conda-forge/metaflow) (π₯ 160K Β· β±οΈ 15.01.2024): +- [Conda](https://anaconda.org/conda-forge/tensorboardx) (π₯ 1.1M Β· β±οΈ 20.08.2023): ``` - conda install -c conda-forge metaflow + conda install -c conda-forge tensorboardx ``` </details> <details><summary><b><a href="https://github.com/Kaggle/kaggle-api">kaggle</a></b> (π₯30 Β· β 5.8K) - Official Kaggle API. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> -- [GitHub](https://github.com/Kaggle/kaggle-api) (π¨βπ» 37 Β· π 1.1K Β· π¦ 21 Β· π 440 - 33% open Β· β±οΈ 23.01.2024): +- [GitHub](https://github.com/Kaggle/kaggle-api) (π¨βπ» 37 Β· π 1.1K Β· π¦ 21 Β· π 440 - 32% open Β· β±οΈ 23.01.2024): ``` git clone https://github.com/Kaggle/kaggle-api ``` -- [PyPi](https://pypi.org/project/kaggle) (π₯ 190K / month Β· π¦ 380 Β· β±οΈ 12.01.2024): +- [PyPi](https://pypi.org/project/kaggle) (π₯ 210K / month Β· π¦ 380 Β· β±οΈ 30.01.2024): ``` pip install kaggle ``` -- [Conda](https://anaconda.org/conda-forge/kaggle) (π₯ 140K Β· β±οΈ 13.01.2024): +- [Conda](https://anaconda.org/conda-forge/kaggle) (π₯ 140K Β· β±οΈ 31.01.2024): ``` conda install -c conda-forge kaggle ``` </details> <details><summary><b><a href="https://github.com/aimhubio/aim">aim</a></b> (π₯30 Β· β 4.5K) - Aim An easy-to-use & supercharged open-source experiment tracker. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> -- [GitHub](https://github.com/aimhubio/aim) (π¨βπ» 59 Β· π 260 Β· π¦ 420 Β· π 960 - 32% open Β· β±οΈ 19.01.2024): +- [GitHub](https://github.com/aimhubio/aim) (π¨βπ» 59 Β· π 280 Β· π¦ 420 Β· π 980 - 33% open Β· β±οΈ 28.01.2024): ``` git clone https://github.com/aimhubio/aim ``` -- [PyPi](https://pypi.org/project/aim) (π₯ 57K / month Β· π¦ 17 Β· β±οΈ 24.01.2024): +- [PyPi](https://pypi.org/project/aim) (π₯ 65K / month): ``` pip install aim ``` @@ -5847,30 +5830,14 @@ _Libraries to organize, track, and visualize machine learning experiments._ conda install -c conda-forge aim ``` </details> -<details><summary><b><a href="https://github.com/IDSIA/sacred">sacred</a></b> (π₯30 Β· β 4.1K) - Sacred is a tool to help you configure, organize, log and reproduce.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> - -- [GitHub](https://github.com/IDSIA/sacred) (π¨βπ» 100 Β· π 380 Β· π¦ 2.8K Β· π 560 - 17% open Β· β±οΈ 13.11.2023): - - ``` - git clone https://github.com/IDSIA/sacred - ``` -- [PyPi](https://pypi.org/project/sacred) (π₯ 35K / month Β· π¦ 110 Β· β±οΈ 13.11.2023): - ``` - pip install sacred - ``` -- [Conda](https://anaconda.org/conda-forge/sacred) (π₯ 4.5K Β· β±οΈ 28.11.2023): - ``` - conda install -c conda-forge sacred - ``` -</details> -<details><summary><b><a href="https://github.com/neptune-ai/neptune-client">Neptune.ai</a></b> (π₯30 Β· β 450) - The MLOps stack component for experiment tracking. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> +<details><summary><b><a href="https://github.com/neptune-ai/neptune-client">Neptune.ai</a></b> (π₯30 Β· β 460) - The MLOps stack component for experiment tracking. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> -- [GitHub](https://github.com/neptune-ai/neptune-client) (π¨βπ» 54 Β· π 54 Β· π 240 - 13% open Β· β±οΈ 24.01.2024): +- [GitHub](https://github.com/neptune-ai/neptune-client) (π¨βπ» 54 Β· π 54 Β· π 240 - 13% open Β· β±οΈ 01.02.2024): ``` git clone https://github.com/neptune-ai/neptune-client ``` -- [PyPi](https://pypi.org/project/neptune-client) (π₯ 560K / month Β· π¦ 49 Β· β±οΈ 07.12.2023): +- [PyPi](https://pypi.org/project/neptune-client) (π₯ 580K / month Β· π¦ 49 Β· β±οΈ 07.12.2023): ``` pip install neptune-client ``` @@ -5886,67 +5853,83 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` git clone https://github.com/PaddlePaddle/VisualDL ``` -- [PyPi](https://pypi.org/project/visualdl) (π₯ 210K / month Β· π¦ 46 Β· β±οΈ 05.06.2023): +- [PyPi](https://pypi.org/project/visualdl) (π₯ 250K / month Β· π¦ 46 Β· β±οΈ 05.06.2023): ``` pip install visualdl ``` </details> +<details><summary><b><a href="https://github.com/IDSIA/sacred">sacred</a></b> (π₯29 Β· β 4.1K) - Sacred is a tool to help you configure, organize, log and reproduce.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> + +- [GitHub](https://github.com/IDSIA/sacred) (π¨βπ» 100 Β· π 380 Β· π¦ 2.8K Β· π 560 - 17% open Β· β±οΈ 13.11.2023): + + ``` + git clone https://github.com/IDSIA/sacred + ``` +- [PyPi](https://pypi.org/project/sacred) (π₯ 43K / month Β· π¦ 110 Β· β±οΈ 13.11.2023): + ``` + pip install sacred + ``` +- [Conda](https://anaconda.org/conda-forge/sacred) (π₯ 4.6K Β· β±οΈ 28.11.2023): + ``` + conda install -c conda-forge sacred + ``` +</details> <details><summary><b><a href="https://github.com/MrPowers/quinn">quinn</a></b> (π₯28 Β· β 550) - pyspark methods to enhance developer productivity. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1N" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/MrPowers/quinn) (π¨βπ» 24 Β· π 80 Β· π₯ 9 Β· π¦ 74 Β· π 90 - 38% open Β· β±οΈ 21.01.2024): +- [GitHub](https://github.com/MrPowers/quinn) (π¨βπ» 24 Β· π 80 Β· π₯ 9 Β· π¦ 74 Β· π 92 - 38% open Β· β±οΈ 28.01.2024): ``` git clone https://github.com/MrPowers/quinn ``` -- [PyPi](https://pypi.org/project/quinn) (π₯ 850K / month Β· π¦ 6 Β· β±οΈ 17.02.2023): +- [PyPi](https://pypi.org/project/quinn) (π₯ 860K / month Β· π¦ 6 Β· β±οΈ 17.02.2023): ``` pip install quinn ``` </details> <details><summary><b><a href="https://github.com/labmlai/labml">Labml</a></b> (π₯27 Β· β 1.8K) - Monitor deep learning model training and hardware usage from your mobile.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> -- [GitHub](https://github.com/labmlai/labml) (π¨βπ» 9 Β· π 120 Β· π¦ 130 Β· π 38 - 47% open Β· β±οΈ 23.01.2024): +- [GitHub](https://github.com/labmlai/labml) (π¨βπ» 9 Β· π 120 Β· π¦ 130 Β· π 38 - 47% open Β· β±οΈ 01.02.2024): ``` git clone https://github.com/labmlai/labml ``` -- [PyPi](https://pypi.org/project/labml) (π₯ 2.6K / month Β· π¦ 6 Β· β±οΈ 10.09.2023): +- [PyPi](https://pypi.org/project/labml) (π₯ 3.1K / month Β· π¦ 6 Β· β±οΈ 10.09.2023): ``` pip install labml ``` </details> <details><summary><b><a href="https://github.com/pytorch/tnt">TNT</a></b> (π₯26 Β· β 1.6K) - A lightweight library for PyTorch training tools and utilities. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/pytorch/tnt) (π¨βπ» 110 Β· π 250 Β· π 99 - 36% open Β· β±οΈ 25.01.2024): +- [GitHub](https://github.com/pytorch/tnt) (π¨βπ» 110 Β· π 250 Β· π 99 - 36% open Β· β±οΈ 27.01.2024): ``` git clone https://github.com/pytorch/tnt ``` -- [PyPi](https://pypi.org/project/torchnet) (π₯ 6K / month Β· π¦ 38 Β· β±οΈ 29.07.2018): +- [PyPi](https://pypi.org/project/torchnet) (π₯ 6.6K / month Β· π¦ 38 Β· β±οΈ 29.07.2018): ``` pip install torchnet ``` </details> -<details><summary><b><a href="https://github.com/google/ml-metadata">ml-metadata</a></b> (π₯26 Β· β 580) - For recording and retrieving metadata associated with ML.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> +<details><summary><b><a href="https://github.com/google/ml-metadata">ml-metadata</a></b> (π₯25 Β· β 580) - For recording and retrieving metadata associated with ML.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> -- [GitHub](https://github.com/google/ml-metadata) (π¨βπ» 19 Β· π 140 Β· π₯ 2.1K Β· π¦ 380 Β· π 110 - 31% open Β· β±οΈ 16.01.2024): +- [GitHub](https://github.com/google/ml-metadata) (π¨βπ» 19 Β· π 140 Β· π₯ 2.1K Β· π¦ 380 Β· π 110 - 31% open Β· β±οΈ 26.01.2024): ``` git clone https://github.com/google/ml-metadata ``` -- [PyPi](https://pypi.org/project/ml-metadata) (π₯ 53K / month Β· π¦ 24 Β· β±οΈ 10.08.2023): +- [PyPi](https://pypi.org/project/ml-metadata) (π₯ 55K / month Β· π¦ 24 Β· β±οΈ 10.08.2023): ``` pip install ml-metadata ``` </details> <details><summary><b><a href="https://github.com/guildai/guildai">Guild AI</a></b> (π₯22 Β· β 850) - Experiment tracking, ML developer tools. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> -- [GitHub](https://github.com/guildai/guildai) (π¨βπ» 29 Β· π 82 Β· π₯ 14 Β· π¦ 89 Β· π 440 - 50% open Β· β±οΈ 12.08.2023): +- [GitHub](https://github.com/guildai/guildai) (π¨βπ» 29 Β· π 83 Β· π₯ 14 Β· π¦ 89 Β· π 440 - 50% open Β· β±οΈ 12.08.2023): ``` git clone https://github.com/guildai/guildai ``` -- [PyPi](https://pypi.org/project/guildai) (π₯ 540 / month Β· β±οΈ 11.05.2022): +- [PyPi](https://pypi.org/project/guildai) (π₯ 600 / month Β· β±οΈ 11.05.2022): ``` pip install guildai ``` @@ -5970,19 +5953,19 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` git clone https://github.com/microsoft/tensorwatch ``` -- [PyPi](https://pypi.org/project/tensorwatch) (π₯ 700 / month Β· π¦ 7 Β· β±οΈ 04.03.2020): +- [PyPi](https://pypi.org/project/tensorwatch) (π₯ 760 / month Β· π¦ 7 Β· β±οΈ 04.03.2020): ``` pip install tensorwatch ``` </details> <details><summary><b><a href="https://github.com/google/caliban">caliban</a></b> (π₯16 Β· β 490) - Research workflows made easy, locally and in the Cloud. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> -- [GitHub](https://github.com/google/caliban) (π¨βπ» 10 Β· π 66 Β· π¦ 1 Β· π 34 - 55% open Β· β±οΈ 22.01.2024): +- [GitHub](https://github.com/google/caliban) (π¨βπ» 10 Β· π 66 Β· π¦ 1 Β· π 34 - 55% open Β· β±οΈ 25.01.2024): ``` git clone https://github.com/google/caliban ``` -- [PyPi](https://pypi.org/project/caliban) (π₯ 53 / month Β· β±οΈ 12.09.2020): +- [PyPi](https://pypi.org/project/caliban) (π₯ 63 / month Β· β±οΈ 12.09.2020): ``` pip install caliban ``` @@ -5997,13 +5980,13 @@ _Libraries to organize, track, and visualize machine learning experiments._ - <b><a href="https://github.com/waleedka/hiddenlayer">hiddenlayer</a></b> (π₯23 Β· β 1.8K Β· π) - Neural network graphs and training metrics for.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code> <code><img src="https://git.io/JLy1E" style="display:inline;" width="13" height="13"></code> - <b><a href="https://github.com/instacart/lore">lore</a></b> (π₯20 Β· β 1.6K Β· π) - Lore makes machine learning approachable for Software Engineers and.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> - <b><a href="https://github.com/TeamHG-Memex/tensorboard_logger">TensorBoard Logger</a></b> (π₯20 Β· β 630 Β· π) - Log TensorBoard events without touching TensorFlow. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> -- <b><a href="https://github.com/awslabs/mxboard">MXBoard</a></b> (π₯20 Β· β 320 Β· π) - Logging MXNet data for visualization in TensorBoard. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1X" style="display:inline;" width="13" height="13"></code> +- <b><a href="https://github.com/awslabs/mxboard">MXBoard</a></b> (π₯20 Β· β 330 Β· π) - Logging MXNet data for visualization in TensorBoard. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1X" style="display:inline;" width="13" height="13"></code> - <b><a href="https://github.com/replicate/keepsake">keepsake</a></b> (π₯18 Β· β 1.6K Β· π) - Version control for machine learning. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> - <b><a href="https://github.com/datmo/datmo">datmo</a></b> (π₯17 Β· β 350 Β· π) - Open source production model management tool for data scientists. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> - <b><a href="https://github.com/aniketmaurya/chitra">chitra</a></b> (π₯16 Β· β 220) - A multi-functional library for full-stack Deep Learning. Simplifies.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> - <b><a href="https://github.com/minerva-ml/steppy">steppy</a></b> (π₯16 Β· β 140 Β· π) - Lightweight, Python library for fast and reproducible experimentation. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> -- <b><a href="https://github.com/ModelChimp/modelchimp">ModelChimp</a></b> (π₯13 Β· β 130 Β· π) - Experiment tracking for machine and deep learning projects. <code><a href="http://bit.ly/3rqEWVr">BSD-2</a></code> - <b><a href="https://www.comet.com">CometML</a></b> (π₯13) - Supercharging Machine Learning. <code>βUnlicensed</code> +- <b><a href="https://github.com/ModelChimp/modelchimp">ModelChimp</a></b> (π₯12 Β· β 130 Β· π) - Experiment tracking for machine and deep learning projects. <code><a href="http://bit.ly/3rqEWVr">BSD-2</a></code> - <b><a href="https://github.com/jrieke/traintool">traintool</a></b> (π₯9 Β· β 12 Β· π) - Train off-the-shelf machine learning models in one.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code> </details> <br> @@ -6016,12 +5999,12 @@ _Libraries to serialize models to files, convert between a variety of model form <details><summary><b><a href="https://github.com/onnx/onnx">onnx</a></b> (π₯43 Β· β 16K) - Open standard for machine learning interoperability. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> -- [GitHub](https://github.com/onnx/onnx) (π¨βπ» 300 Β· π 3.6K Β· π₯ 20K Β· π¦ 23K Β· π 2.6K - 11% open Β· β±οΈ 25.01.2024): +- [GitHub](https://github.com/onnx/onnx) (π¨βπ» 300 Β· π 3.6K Β· π₯ 20K Β· π¦ 23K Β· π 2.6K - 11% open Β· β±οΈ 29.01.2024): ``` git clone https://github.com/onnx/onnx ``` -- [PyPi](https://pypi.org/project/onnx) (π₯ 3.9M / month Β· π¦ 670 Β· β±οΈ 26.10.2023): +- [PyPi](https://pypi.org/project/onnx) (π₯ 4.2M / month Β· π¦ 680 Β· β±οΈ 26.10.2023): ``` pip install onnx ``` @@ -6030,38 +6013,38 @@ _Libraries to serialize models to files, convert between a variety of model form conda install -c conda-forge onnx ``` </details> -<details><summary><b><a href="https://github.com/openai/triton">triton</a></b> (π₯38 Β· β 9.6K) - Development repository for the Triton language and compiler. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> +<details><summary><b><a href="https://github.com/openai/triton">triton</a></b> (π₯38 Β· β 9.7K) - Development repository for the Triton language and compiler. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> -- [GitHub](https://github.com/openai/triton) (π¨βπ» 210 Β· π 1.1K Β· π¦ 21 Β· π 1K - 42% open Β· β±οΈ 25.01.2024): +- [GitHub](https://github.com/openai/triton) (π¨βπ» 210 Β· π 1.1K Β· π¦ 21 Β· π 1K - 42% open Β· β±οΈ 01.02.2024): ``` git clone https://github.com/openai/triton ``` -- [PyPi](https://pypi.org/project/triton) (π₯ 7.9M / month Β· π¦ 84 Β· β±οΈ 10.01.2024): +- [PyPi](https://pypi.org/project/triton) (π₯ 8.8M / month Β· π¦ 84 Β· β±οΈ 10.01.2024): ``` pip install triton ``` </details> -<details><summary><b><a href="https://github.com/bentoml/BentoML">BentoML</a></b> (π₯35 Β· β 6.2K) - Build Production-Grade AI Applications. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> +<details><summary><b><a href="https://github.com/bentoml/BentoML">BentoML</a></b> (π₯36 Β· β 6.2K) - Build Production-Grade AI Applications. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> -- [GitHub](https://github.com/bentoml/BentoML) (π¨βπ» 190 Β· π 700 Β· π₯ 2.1K Β· π¦ 1.5K Β· π 990 - 20% open Β· β±οΈ 22.01.2024): +- [GitHub](https://github.com/bentoml/BentoML) (π¨βπ» 200 Β· π 710 Β· π₯ 2.1K Β· π¦ 1.5K Β· π 1K - 20% open Β· β±οΈ 01.02.2024): ``` git clone https://github.com/bentoml/BentoML ``` -- [PyPi](https://pypi.org/project/bentoml) (π₯ 68K / month Β· π¦ 12 Β· β±οΈ 20.01.2024): +- [PyPi](https://pypi.org/project/bentoml) (π₯ 74K / month Β· π¦ 13 Β· β±οΈ 31.01.2024): ``` pip install bentoml ``` </details> -<details><summary><b><a href="https://github.com/huggingface/huggingface_hub">huggingface_hub</a></b> (π₯35 Β· β 1.5K) - The official Python client for the Huggingface Hub. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> +<details><summary><b><a href="https://github.com/huggingface/huggingface_hub">huggingface_hub</a></b> (π₯36 Β· β 1.5K) - The official Python client for the Huggingface Hub. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> -- [GitHub](https://github.com/huggingface/huggingface_hub) (π¨βπ» 130 Β· π 360 Β· π 700 - 16% open Β· β±οΈ 24.01.2024): +- [GitHub](https://github.com/huggingface/huggingface_hub) (π¨βπ» 130 Β· π 360 Β· π 710 - 16% open Β· β±οΈ 26.01.2024): ``` git clone https://github.com/huggingface/huggingface_hub ``` -- [PyPi](https://pypi.org/project/huggingface_hub) (π₯ 22M / month Β· π¦ 620 Β· β±οΈ 22.01.2024): +- [PyPi](https://pypi.org/project/huggingface_hub) (π₯ 25M / month Β· π¦ 620 Β· β±οΈ 22.01.2024): ``` pip install huggingface_hub ``` @@ -6070,14 +6053,14 @@ _Libraries to serialize models to files, convert between a variety of model form conda install -c conda-forge huggingface_hub ``` </details> -<details><summary><b><a href="https://github.com/pytorch/serve">TorchServe</a></b> (π₯34 Β· β 3.9K) - Serve, optimize and scale PyTorch models in production. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> +<details><summary><b><a href="https://github.com/pytorch/serve">TorchServe</a></b> (π₯35 Β· β 3.9K) - Serve, optimize and scale PyTorch models in production. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/pytorch/serve) (π¨βπ» 180 Β· π 790 Β· π₯ 5.5K Β· π¦ 590 Β· π 1.5K - 21% open Β· β±οΈ 24.01.2024): +- [GitHub](https://github.com/pytorch/serve) (π¨βπ» 180 Β· π 790 Β· π₯ 5.5K Β· π¦ 600 Β· π 1.5K - 21% open Β· β±οΈ 31.01.2024): ``` git clone https://github.com/pytorch/serve ``` -- [PyPi](https://pypi.org/project/torchserve) (π₯ 30K / month Β· π¦ 16 Β· β±οΈ 12.10.2023): +- [PyPi](https://pypi.org/project/torchserve) (π₯ 37K / month Β· π¦ 16 Β· β±οΈ 12.10.2023): ``` pip install torchserve ``` @@ -6092,12 +6075,12 @@ _Libraries to serialize models to files, convert between a variety of model form </details> <details><summary><b><a href="https://github.com/apple/coremltools">Core ML Tools</a></b> (π₯33 Β· β 3.9K) - Core ML tools contain supporting tools for Core ML model.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary> -- [GitHub](https://github.com/apple/coremltools) (π¨βπ» 160 Β· π 580 Β· π₯ 9K Β· π¦ 3.6K Β· π 1.3K - 21% open Β· β±οΈ 23.01.2024): +- [GitHub](https://github.com/apple/coremltools) (π¨βπ» 160 Β· π 580 Β· π₯ 9K Β· π¦ 3.6K Β· π 1.3K - 21% open Β· β±οΈ 30.01.2024): ``` git clone https://github.com/apple/coremltools ``` -- [PyPi](https://pypi.org/project/coremltools) (π₯ 170K / month Β· π¦ 170 Β· β±οΈ 01.11.2023): +- [PyPi](https://pypi.org/project/coremltools) (π₯ 180K / month Β· π¦ 170 Β· β±οΈ 01.11.2023): ``` pip install coremltools ``` @@ -6106,14 +6089,14 @@ _Libraries to serialize models to files, convert between a variety of model form conda install -c conda-forge coremltools ``` </details> -<details><summary><b><a href="https://github.com/microsoft/hummingbird">Hummingbird</a></b> (π₯26 Β· β 3.3K) - Hummingbird compiles trained ML models into tensor computation for.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> +<details><summary><b><a href="https://github.com/microsoft/hummingbird">Hummingbird</a></b> (π₯27 Β· β 3.3K) - Hummingbird compiles trained ML models into tensor computation for.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> -- [GitHub](https://github.com/microsoft/hummingbird) (π¨βπ» 39 Β· π 270 Β· π₯ 360 Β· π 310 - 19% open Β· β±οΈ 22.01.2024): +- [GitHub](https://github.com/microsoft/hummingbird) (π¨βπ» 39 Β· π 270 Β· π₯ 360 Β· π 310 - 19% open Β· β±οΈ 25.01.2024): ``` git clone https://github.com/microsoft/hummingbird ``` -- [PyPi](https://pypi.org/project/hummingbird-ml) (π₯ 8.7K / month Β· π¦ 4 Β· β±οΈ 08.01.2024): +- [PyPi](https://pypi.org/project/hummingbird-ml) (π₯ 9.7K / month Β· π¦ 4 Β· β±οΈ 08.01.2024): ``` pip install hummingbird-ml ``` @@ -6122,14 +6105,14 @@ _Libraries to serialize models to files, convert between a variety of model form conda install -c conda-forge hummingbird-ml ``` </details> -<details><summary><b><a href="https://github.com/fastmachinelearning/hls4ml">hls4ml</a></b> (π₯25 Β· β 1K) - Machine learning on FPGAs using HLS. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> +<details><summary><b><a href="https://github.com/fastmachinelearning/hls4ml">hls4ml</a></b> (π₯25 Β· β 1K) - Machine learning on FPGAs using HLS. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/fastmachinelearning/hls4ml) (π¨βπ» 58 Β· π 360 Β· π 410 - 38% open Β· β±οΈ 22.01.2024): +- [GitHub](https://github.com/fastmachinelearning/hls4ml) (π¨βπ» 58 Β· π 360 Β· π 410 - 38% open Β· β±οΈ 29.01.2024): ``` git clone https://github.com/fastmachinelearning/hls4ml ``` -- [PyPi](https://pypi.org/project/hls4ml) (π₯ 740 / month Β· β±οΈ 19.12.2023): +- [PyPi](https://pypi.org/project/hls4ml) (π₯ 780 / month Β· β±οΈ 19.12.2023): ``` pip install hls4ml ``` @@ -6145,44 +6128,44 @@ _Libraries to serialize models to files, convert between a variety of model form ``` git clone https://github.com/cortexlabs/cortex ``` -- [PyPi](https://pypi.org/project/cortex) (π₯ 700 / month Β· π¦ 1 Β· β±οΈ 23.09.2022): +- [PyPi](https://pypi.org/project/cortex) (π₯ 850 / month Β· π¦ 1 Β· β±οΈ 23.09.2022): ``` pip install cortex ``` </details> -<details><summary><b><a href="https://github.com/nebuly-ai/nebuly">nebullvm</a></b> (π₯20 Β· β 8.3K) - The user analytics platform for LLMs. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> +<details><summary><b><a href="https://github.com/nebuly-ai/nebuly">nebullvm</a></b> (π₯21 Β· β 8.3K) - The user analytics platform for LLMs. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> - [GitHub](https://github.com/nebuly-ai/nebuly) (π¨βπ» 40 Β· π 650 Β· π 200 - 48% open Β· β±οΈ 28.10.2023): ``` git clone https://github.com/nebuly-ai/nebullvm ``` -- [PyPi](https://pypi.org/project/nebullvm) (π₯ 850 / month Β· π¦ 2 Β· β±οΈ 18.06.2023): +- [PyPi](https://pypi.org/project/nebullvm) (π₯ 890 / month Β· π¦ 2 Β· β±οΈ 18.06.2023): ``` pip install nebullvm ``` </details> <details><summary><b><a href="https://github.com/riga/tfdeploy">tfdeploy</a></b> (π₯16 Β· β 350) - Deploy tensorflow graphs for fast evaluation and export to.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/riga/tfdeploy) (π¨βπ» 4 Β· π 38 Β· π 34 - 32% open Β· β±οΈ 02.01.2024): +- [GitHub](https://github.com/riga/tfdeploy) (π¨βπ» 4 Β· π 36 Β· π 34 - 32% open Β· β±οΈ 02.01.2024): ``` git clone https://github.com/riga/tfdeploy ``` -- [PyPi](https://pypi.org/project/tfdeploy) (π₯ 42 / month Β· π¦ 2 Β· β±οΈ 30.03.2017): +- [PyPi](https://pypi.org/project/tfdeploy) (π₯ 69 / month): ``` pip install tfdeploy ``` </details> <details><summary>Show 9 hidden projects...</summary> -- <b><a href="https://github.com/BayesWitnesses/m2cgen">m2cgen</a></b> (π₯26 Β· β 2.7K Β· π) - Transform ML models into a native code (Java, C, Python, Go,.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> -- <b><a href="https://github.com/microsoft/MMdnn">mmdnn</a></b> (π₯25 Β· β 5.8K Β· π) - MMdnn is a set of tools to help users inter-operate among different deep.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> +- <b><a href="https://github.com/microsoft/MMdnn">mmdnn</a></b> (π₯25 Β· β 5.8K Β· π) - MMdnn is a set of tools to help users inter-operate among different deep.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> +- <b><a href="https://github.com/BayesWitnesses/m2cgen">m2cgen</a></b> (π₯25 Β· β 2.7K Β· π) - Transform ML models into a native code (Java, C, Python, Go,.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> - <b><a href="https://github.com/nok/sklearn-porter">sklearn-porter</a></b> (π₯23 Β· β 1.3K Β· π) - Transpile trained scikit-learn estimators to C, Java,.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code> -- <b><a href="https://github.com/larq/compute-engine">Larq Compute Engine</a></b> (π₯21 Β· β 230) - Highly optimized inference engine for Binarized.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> +- <b><a href="https://github.com/larq/compute-engine">Larq Compute Engine</a></b> (π₯20 Β· β 230) - Highly optimized inference engine for Binarized.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> - <b><a href="https://github.com/gmalivenko/pytorch2keras">pytorch2keras</a></b> (π₯19 Β· β 840 Β· π) - PyTorch to Keras model convertor. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> -- <b><a href="https://github.com/cog-imperial/OMLT">OMLT</a></b> (π₯19 Β· β 230) - Represent trained machine learning models as Pyomo optimization formulations. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> - <b><a href="https://github.com/Cornerstone-OnDemand/modelkit">modelkit</a></b> (π₯19 Β· β 150) - Toolkit for developing and maintaining ML models. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> +- <b><a href="https://github.com/cog-imperial/OMLT">OMLT</a></b> (π₯18 Β· β 230) - Represent trained machine learning models as Pyomo optimization formulations. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> - <b><a href="https://github.com/apple/ml-ane-transformers">ml-ane-transformers</a></b> (π₯13 Β· β 2.4K Β· π) - Reference implementation of the Transformer.. <code>βUnlicensed</code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code> - <b><a href="https://github.com/backprop-ai/backprop">backprop</a></b> (π₯13 Β· β 240 Β· π) - Backprop makes it simple to use, finetune, and deploy state-of-.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> </details> @@ -6196,12 +6179,12 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin <details><summary><b><a href="https://github.com/shap/shap">shap</a></b> (π₯40 Β· β 21K) - A game theoretic approach to explain the output of any machine learning model. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> -- [GitHub](https://github.com/shap/shap) (π¨βπ» 230 Β· π 3K Β· π¦ 15K Β· π 2.4K - 59% open Β· β±οΈ 24.01.2024): +- [GitHub](https://github.com/shap/shap) (π¨βπ» 230 Β· π 3K Β· π¦ 16K Β· π 2.4K - 59% open Β· β±οΈ 24.01.2024): ``` git clone https://github.com/slundberg/shap ``` -- [PyPi](https://pypi.org/project/shap) (π₯ 6.9M / month): +- [PyPi](https://pypi.org/project/shap) (π₯ 7.2M / month): ``` pip install shap ``` @@ -6212,12 +6195,12 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin </details> <details><summary><b><a href="https://github.com/arviz-devs/arviz">arviz</a></b> (π₯36 Β· β 1.5K) - Exploratory analysis of Bayesian models with Python. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> -- [GitHub](https://github.com/arviz-devs/arviz) (π¨βπ» 150 Β· π 370 Β· π₯ 130 Β· π¦ 5.7K Β· π 830 - 19% open Β· β±οΈ 27.12.2023): +- [GitHub](https://github.com/arviz-devs/arviz) (π¨βπ» 150 Β· π 370 Β· π₯ 130 Β· π¦ 5.7K Β· π 840 - 19% open Β· β±οΈ 27.12.2023): ``` git clone https://github.com/arviz-devs/arviz ``` -- [PyPi](https://pypi.org/project/arviz) (π₯ 1.6M / month Β· π¦ 170 Β· β±οΈ 27.12.2023): +- [PyPi](https://pypi.org/project/arviz) (π₯ 1.7M / month Β· π¦ 170 Β· β±οΈ 27.12.2023): ``` pip install arviz ``` @@ -6228,36 +6211,36 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin </details> <details><summary><b><a href="https://github.com/lutzroeder/netron">Netron</a></b> (π₯34 Β· β 25K) - Visualizer for neural network, deep learning and machine learning.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/lutzroeder/netron) (π¨βπ» 2 Β· π 2.6K Β· π₯ 60K Β· π¦ 12 Β· π 1K - 2% open Β· β±οΈ 25.01.2024): +- [GitHub](https://github.com/lutzroeder/netron) (π¨βπ» 2 Β· π 2.6K Β· π₯ 63K Β· π¦ 12 Β· π 1K - 2% open Β· β±οΈ 01.02.2024): ``` git clone https://github.com/lutzroeder/netron ``` -- [PyPi](https://pypi.org/project/netron) (π₯ 18K / month Β· π¦ 74 Β· β±οΈ 20.01.2024): +- [PyPi](https://pypi.org/project/netron) (π₯ 22K / month Β· π¦ 74 Β· β±οΈ 27.01.2024): ``` pip install netron ``` </details> <details><summary><b><a href="https://github.com/interpretml/interpret">InterpretML</a></b> (π₯34 Β· β 5.9K) - Fit interpretable models. Explain blackbox machine learning. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1E" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/interpretml/interpret) (π¨βπ» 40 Β· π 690 Β· π¦ 610 Β· π 400 - 19% open Β· β±οΈ 25.01.2024): +- [GitHub](https://github.com/interpretml/interpret) (π¨βπ» 41 Β· π 700 Β· π¦ 610 Β· π 400 - 20% open Β· β±οΈ 29.01.2024): ``` git clone https://github.com/interpretml/interpret ``` -- [PyPi](https://pypi.org/project/interpret) (π₯ 73K / month): +- [PyPi](https://pypi.org/project/interpret) (π₯ 83K / month Β· π¦ 30 Β· β±οΈ 14.12.2023): ``` pip install interpret ``` </details> <details><summary><b><a href="https://github.com/pytorch/captum">Captum</a></b> (π₯33 Β· β 4.4K) - Model interpretability and understanding for PyTorch. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/pytorch/captum) (π¨βπ» 100 Β· π 460 Β· π¦ 1.7K Β· π 500 - 34% open Β· β±οΈ 24.01.2024): +- [GitHub](https://github.com/pytorch/captum) (π¨βπ» 100 Β· π 460 Β· π¦ 1.8K Β· π 520 - 36% open Β· β±οΈ 24.01.2024): ``` git clone https://github.com/pytorch/captum ``` -- [PyPi](https://pypi.org/project/captum) (π₯ 170K / month): +- [PyPi](https://pypi.org/project/captum) (π₯ 170K / month Β· π¦ 63 Β· β±οΈ 05.12.2023): ``` pip install captum ``` @@ -6273,46 +6256,70 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/oegedijk/explainerdashboard ``` -- [PyPi](https://pypi.org/project/explainerdashboard) (π₯ 66K / month Β· π¦ 10 Β· β±οΈ 17.12.2023): +- [PyPi](https://pypi.org/project/explainerdashboard) (π₯ 74K / month Β· π¦ 10 Β· β±οΈ 17.12.2023): ``` pip install explainerdashboard ``` -- [Conda](https://anaconda.org/conda-forge/explainerdashboard) (π₯ 42K Β· β±οΈ 17.12.2023): +- [Conda](https://anaconda.org/conda-forge/explainerdashboard) (π₯ 43K Β· β±οΈ 17.12.2023): ``` conda install -c conda-forge explainerdashboard ``` </details> -<details><summary><b><a href="https://github.com/huggingface/evaluate">evaluate</a></b> (π₯32 Β· β 1.7K) - Evaluate: A library for easily evaluating machine learning models.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> +<details><summary><b><a href="https://github.com/py-why/dowhy">DoWhy</a></b> (π₯31 Β· β 6.5K) - DoWhy is a Python library for causal inference that supports explicit.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> + +- [GitHub](https://github.com/py-why/dowhy) (π¨βπ» 83 Β· π 870 Β· π₯ 33 Β· π¦ 320 Β· π 430 - 29% open Β· β±οΈ 30.01.2024): + + ``` + git clone https://github.com/py-why/dowhy + ``` +- [PyPi](https://pypi.org/project/dowhy) (π₯ 39K / month): + ``` + pip install dowhy + ``` +- [Conda](https://anaconda.org/conda-forge/dowhy) (π₯ 19K Β· β±οΈ 26.01.2024): + ``` + conda install -c conda-forge dowhy + ``` +</details> +<details><summary><b><a href="https://github.com/huggingface/evaluate">evaluate</a></b> (π₯31 Β· β 1.7K) - Evaluate: A library for easily evaluating machine learning models.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> -- [GitHub](https://github.com/huggingface/evaluate) (π¨βπ» 120 Β· π 200 Β· π¦ 6.2K Β· π 250 - 51% open Β· β±οΈ 27.12.2023): +- [GitHub](https://github.com/huggingface/evaluate) (π¨βπ» 120 Β· π 210 Β· π¦ 6.4K Β· π 250 - 51% open Β· β±οΈ 27.12.2023): ``` git clone https://github.com/huggingface/evaluate ``` -- [PyPi](https://pypi.org/project/evaluate) (π₯ 2.1M / month Β· π¦ 160 Β· β±οΈ 13.10.2023): +- [PyPi](https://pypi.org/project/evaluate) (π₯ 2.7M / month Β· π¦ 160 Β· β±οΈ 13.10.2023): ``` pip install evaluate ``` </details> -<details><summary><b><a href="https://github.com/py-why/dowhy">DoWhy</a></b> (π₯31 Β· β 6.5K) - DoWhy is a Python library for causal inference that supports explicit.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> +<details><summary><b><a href="https://github.com/microsoft/responsible-ai-toolbox">responsible-ai-widgets</a></b> (π₯30 Β· β 1.1K) - Responsible AI Toolbox is a suite of tools providing.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code> <code><img src="https://git.io/JLy1E" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/py-why/dowhy) (π¨βπ» 83 Β· π 870 Β· π₯ 33 Β· π¦ 320 Β· π 430 - 29% open Β· β±οΈ 19.01.2024): +- [GitHub](https://github.com/microsoft/responsible-ai-toolbox) (π¨βπ» 42 Β· π 300 Β· π¦ 82 Β· π 310 - 26% open Β· β±οΈ 31.01.2024): ``` - git clone https://github.com/py-why/dowhy + git clone https://github.com/microsoft/responsible-ai-toolbox ``` -- [PyPi](https://pypi.org/project/dowhy) (π₯ 34K / month): +- [PyPi](https://pypi.org/project/raiwidgets) (π₯ 5K / month Β· π¦ 3 Β· β±οΈ 31.01.2024): ``` - pip install dowhy + pip install raiwidgets ``` -- [Conda](https://anaconda.org/conda-forge/dowhy) (π₯ 19K Β· β±οΈ 30.11.2023): +</details> +<details><summary><b><a href="https://github.com/MAIF/shapash">shapash</a></b> (π₯29 Β· β 2.6K) - Shapash: User-friendly Explainability and Interpretability to.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1E" style="display:inline;" width="13" height="13"></code></summary> + +- [GitHub](https://github.com/MAIF/shapash) (π¨βπ» 36 Β· π 310 Β· π¦ 140 Β· π 180 - 20% open Β· β±οΈ 29.01.2024): + ``` - conda install -c conda-forge dowhy + git clone https://github.com/MAIF/shapash + ``` +- [PyPi](https://pypi.org/project/shapash) (π₯ 6.1K / month Β· π¦ 2 Β· β±οΈ 08.12.2023): + ``` + pip install shapash ``` </details> <details><summary><b><a href="https://github.com/bmabey/pyLDAvis">pyLDAvis</a></b> (π₯29 Β· β 1.8K) - Python library for interactive topic model visualization. Port of.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1E" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/bmabey/pyLDAvis) (π¨βπ» 41 Β· π 350 Β· π¦ 5.7K Β· π 180 - 40% open Β· β±οΈ 14.12.2023): +- [GitHub](https://github.com/bmabey/pyLDAvis) (π¨βπ» 41 Β· π 350 Β· π¦ 5.7K Β· π 180 - 41% open Β· β±οΈ 14.12.2023): ``` git clone https://github.com/bmabey/pyLDAvis @@ -6328,12 +6335,12 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin </details> <details><summary><b><a href="https://github.com/fairlearn/fairlearn">fairlearn</a></b> (π₯29 Β· β 1.7K) - A Python package to assess and improve fairness of machine.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/fairlearn/fairlearn) (π¨βπ» 80 Β· π 370 Β· π¦ 3 Β· π 450 - 36% open Β· β±οΈ 24.01.2024): +- [GitHub](https://github.com/fairlearn/fairlearn) (π¨βπ» 80 Β· π 370 Β· π¦ 3 Β· π 460 - 36% open Β· β±οΈ 24.01.2024): ``` git clone https://github.com/fairlearn/fairlearn ``` -- [PyPi](https://pypi.org/project/fairlearn) (π₯ 210K / month Β· π¦ 29 Β· β±οΈ 19.12.2023): +- [PyPi](https://pypi.org/project/fairlearn) (π₯ 220K / month Β· π¦ 29 Β· β±οΈ 19.12.2023): ``` pip install fairlearn ``` @@ -6342,38 +6349,14 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin conda install -c conda-forge fairlearn ``` </details> -<details><summary><b><a href="https://github.com/tensorflow/model-analysis">Model Analysis</a></b> (π₯29 Β· β 1.2K) - Model analysis tools for TensorFlow. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code> <code><img src="https://git.io/JLy1E" style="display:inline;" width="13" height="13"></code></summary> - -- [GitHub](https://github.com/tensorflow/model-analysis) (π¨βπ» 57 Β· π 280 Β· π¦ 2 Β· π 87 - 39% open Β· β±οΈ 24.01.2024): - - ``` - git clone https://github.com/tensorflow/model-analysis - ``` -- [PyPi](https://pypi.org/project/tensorflow-model-analysis) (π₯ 70K / month Β· π¦ 23 Β· β±οΈ 14.08.2023): - ``` - pip install tensorflow-model-analysis - ``` -</details> -<details><summary><b><a href="https://github.com/microsoft/responsible-ai-toolbox">responsible-ai-widgets</a></b> (π₯29 Β· β 1.1K) - Responsible AI Toolbox is a suite of tools providing.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code> <code><img src="https://git.io/JLy1E" style="display:inline;" width="13" height="13"></code></summary> - -- [GitHub](https://github.com/microsoft/responsible-ai-toolbox) (π¨βπ» 41 Β· π 280 Β· π¦ 79 Β· π 270 - 17% open Β· β±οΈ 24.01.2024): - - ``` - git clone https://github.com/microsoft/responsible-ai-toolbox - ``` -- [PyPi](https://pypi.org/project/raiwidgets) (π₯ 4.5K / month): - ``` - pip install raiwidgets - ``` -</details> <details><summary><b><a href="https://github.com/parrt/dtreeviz">dtreeviz</a></b> (π₯28 Β· β 2.7K) - A python library for decision tree visualization and model interpretation. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> -- [GitHub](https://github.com/parrt/dtreeviz) (π¨βπ» 26 Β· π 320 Β· π¦ 1K Β· π 200 - 30% open Β· β±οΈ 06.01.2024): +- [GitHub](https://github.com/parrt/dtreeviz) (π¨βπ» 26 Β· π 330 Β· π¦ 1K Β· π 200 - 30% open Β· β±οΈ 06.01.2024): ``` git clone https://github.com/parrt/dtreeviz ``` -- [PyPi](https://pypi.org/project/dtreeviz) (π₯ 130K / month Β· π¦ 24 Β· β±οΈ 07.07.2022): +- [PyPi](https://pypi.org/project/dtreeviz) (π₯ 140K / month Β· π¦ 24 Β· β±οΈ 07.07.2022): ``` pip install dtreeviz ``` @@ -6382,26 +6365,26 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin conda install -c conda-forge dtreeviz ``` </details> -<details><summary><b><a href="https://github.com/MAIF/shapash">shapash</a></b> (π₯28 Β· β 2.6K) - Shapash: User-friendly Explainability and Interpretability to.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1E" style="display:inline;" width="13" height="13"></code></summary> +<details><summary><b><a href="https://github.com/tensorflow/model-analysis">Model Analysis</a></b> (π₯28 Β· β 1.2K) - Model analysis tools for TensorFlow. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code> <code><img src="https://git.io/JLy1E" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/MAIF/shapash) (π¨βπ» 35 Β· π 310 Β· π¦ 140 Β· π 180 - 20% open Β· β±οΈ 08.12.2023): +- [GitHub](https://github.com/tensorflow/model-analysis) (π¨βπ» 57 Β· π 280 Β· π¦ 2 Β· π 87 - 39% open Β· β±οΈ 31.01.2024): ``` - git clone https://github.com/MAIF/shapash + git clone https://github.com/tensorflow/model-analysis ``` -- [PyPi](https://pypi.org/project/shapash) (π₯ 5.5K / month): +- [PyPi](https://pypi.org/project/tensorflow-model-analysis) (π₯ 72K / month Β· π¦ 23 Β· β±οΈ 14.08.2023): ``` - pip install shapash + pip install tensorflow-model-analysis ``` </details> <details><summary><b><a href="https://github.com/Trusted-AI/AIF360">Fairness 360</a></b> (π₯27 Β· β 2.2K) - A comprehensive set of fairness metrics for datasets and.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> -- [GitHub](https://github.com/Trusted-AI/AIF360) (π¨βπ» 70 Β· π 780 Β· π¦ 360 Β· π 260 - 63% open Β· β±οΈ 21.11.2023): +- [GitHub](https://github.com/Trusted-AI/AIF360) (π¨βπ» 70 Β· π 780 Β· π¦ 360 Β· π 240 - 60% open Β· β±οΈ 21.11.2023): ``` git clone https://github.com/Trusted-AI/AIF360 ``` -- [PyPi](https://pypi.org/project/aif360) (π₯ 8.3K / month Β· π¦ 14 Β· β±οΈ 03.09.2022): +- [PyPi](https://pypi.org/project/aif360) (π₯ 9.9K / month): ``` pip install aif360 ``` @@ -6412,12 +6395,12 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin </details> <details><summary><b><a href="https://github.com/PAIR-code/lit">LIT</a></b> (π₯26 Β· β 3.3K) - The Learning Interpretability Tool: Interactively analyze ML models to.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> -- [GitHub](https://github.com/PAIR-code/lit) (π¨βπ» 34 Β· π 340 Β· π¦ 27 Β· π 120 - 33% open Β· β±οΈ 08.11.2023): +- [GitHub](https://github.com/PAIR-code/lit) (π¨βπ» 34 Β· π 340 Β· π¦ 27 Β· π 170 - 52% open Β· β±οΈ 08.11.2023): ``` git clone https://github.com/PAIR-code/lit ``` -- [PyPi](https://pypi.org/project/lit-nlp) (π₯ 2.3K / month): +- [PyPi](https://pypi.org/project/lit-nlp) (π₯ 2.6K / month Β· π¦ 1 Β· β±οΈ 08.11.2023): ``` pip install lit-nlp ``` @@ -6433,7 +6416,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/marcotcr/checklist ``` -- [PyPi](https://pypi.org/project/checklist) (π₯ 9.2K / month Β· π¦ 7 Β· β±οΈ 24.05.2021): +- [PyPi](https://pypi.org/project/checklist) (π₯ 12K / month Β· π¦ 7 Β· β±οΈ 24.05.2021): ``` pip install checklist ``` @@ -6444,12 +6427,12 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin </details> <details><summary><b><a href="https://github.com/csinva/imodels">imodels</a></b> (π₯26 Β· β 1.2K) - Interpretable ML package for concise, transparent, and accurate.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> -- [GitHub](https://github.com/csinva/imodels) (π¨βπ» 22 Β· π 110 Β· π¦ 61 Β· π 81 - 35% open Β· β±οΈ 30.12.2023): +- [GitHub](https://github.com/csinva/imodels) (π¨βπ» 22 Β· π 110 Β· π¦ 61 Β· π 82 - 36% open Β· β±οΈ 30.12.2023): ``` git clone https://github.com/csinva/imodels ``` -- [PyPi](https://pypi.org/project/imodels) (π₯ 24K / month): +- [PyPi](https://pypi.org/project/imodels) (π₯ 27K / month): ``` pip install imodels ``` @@ -6461,73 +6444,73 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/albermax/innvestigate ``` -- [PyPi](https://pypi.org/project/innvestigate) (π₯ 740 / month Β· π¦ 2 Β· β±οΈ 12.10.2023): +- [PyPi](https://pypi.org/project/innvestigate) (π₯ 790 / month Β· π¦ 2 Β· β±οΈ 12.10.2023): ``` pip install innvestigate ``` </details> -<details><summary><b><a href="https://github.com/mckinsey/causalnex">CausalNex</a></b> (π₯25 Β· β 2.1K) - A Python library that helps data scientists to infer.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code></summary> +<details><summary><b><a href="https://github.com/mckinsey/causalnex">CausalNex</a></b> (π₯25 Β· β 2.1K Β· π€) - A Python library that helps data scientists to infer.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code></summary> - [GitHub](https://github.com/mckinsey/causalnex) (π¨βπ» 35 Β· π 240 Β· π¦ 110 Β· π 130 - 13% open Β· β±οΈ 11.07.2023): ``` git clone https://github.com/quantumblacklabs/causalnex ``` -- [PyPi](https://pypi.org/project/causalnex) (π₯ 2.2K / month Β· π¦ 3 Β· β±οΈ 22.06.2023): +- [PyPi](https://pypi.org/project/causalnex) (π₯ 2.5K / month Β· π¦ 3 Β· β±οΈ 22.06.2023): ``` pip install causalnex ``` </details> -<details><summary><b><a href="https://github.com/philipperemy/keract">keract</a></b> (π₯24 Β· β 1K) - Layers Outputs and Gradients in Keras. Made easy. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary> +<details><summary><b><a href="https://github.com/Trusted-AI/AIX360">Explainability 360</a></b> (π₯24 Β· β 1.5K) - Interpretability and explainability of data and.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> -- [GitHub](https://github.com/philipperemy/keract) (π¨βπ» 16 Β· π 180 Β· π¦ 200 Β· π 88 - 2% open Β· β±οΈ 17.11.2023): +- [GitHub](https://github.com/Trusted-AI/AIX360) (π¨βπ» 41 Β· π 300 Β· π¦ 86 Β· π 84 - 64% open Β· β±οΈ 22.08.2023): ``` - git clone https://github.com/philipperemy/keract + git clone https://github.com/Trusted-AI/AIX360 ``` -- [PyPi](https://pypi.org/project/keract) (π₯ 3.4K / month): +- [PyPi](https://pypi.org/project/aix360) (π₯ 1.1K / month Β· π¦ 1 Β· β±οΈ 31.07.2023): ``` - pip install keract + pip install aix360 ``` </details> -<details><summary><b><a href="https://github.com/DistrictDataLabs/yellowbrick">yellowbrick</a></b> (π₯23 Β· β 4.1K) - Visual analysis and diagnostic tools to facilitate machine.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code></summary> +<details><summary><b><a href="https://github.com/dssg/aequitas">aequitas</a></b> (π₯24 Β· β 610) - Bias Auditing & Fair ML Toolkit. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> -- [GitHub](https://github.com/DistrictDataLabs/yellowbrick) (π¨βπ» 110 Β· π 540 Β· π 690 - 12% open Β· β±οΈ 05.07.2023): +- [GitHub](https://github.com/dssg/aequitas) (π¨βπ» 19 Β· π 110 Β· π¦ 150 Β· π 87 - 64% open Β· β±οΈ 01.02.2024): ``` - git clone https://github.com/DistrictDataLabs/yellowbrick - ``` -- [PyPi](https://pypi.org/project/yellowbrick) (π₯ 400K / month): - ``` - pip install yellowbrick + git clone https://github.com/dssg/aequitas ``` -- [Conda](https://anaconda.org/conda-forge/yellowbrick) (π₯ 74K Β· β±οΈ 16.06.2023): +- [PyPi](https://pypi.org/project/aequitas) (π₯ 3.4K / month Β· π¦ 7 Β· β±οΈ 30.01.2024): ``` - conda install -c conda-forge yellowbrick + pip install aequitas ``` </details> -<details><summary><b><a href="https://github.com/Trusted-AI/AIX360">Explainability 360</a></b> (π₯23 Β· β 1.5K) - Interpretability and explainability of data and.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> +<details><summary><b><a href="https://github.com/DistrictDataLabs/yellowbrick">yellowbrick</a></b> (π₯23 Β· β 4.2K Β· π€) - Visual analysis and diagnostic tools to facilitate.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/Trusted-AI/AIX360) (π¨βπ» 41 Β· π 300 Β· π¦ 86 Β· π 84 - 64% open Β· β±οΈ 22.08.2023): +- [GitHub](https://github.com/DistrictDataLabs/yellowbrick) (π¨βπ» 110 Β· π 550 Β· π 700 - 12% open Β· β±οΈ 05.07.2023): ``` - git clone https://github.com/Trusted-AI/AIX360 + git clone https://github.com/DistrictDataLabs/yellowbrick ``` -- [PyPi](https://pypi.org/project/aix360) (π₯ 1K / month Β· π¦ 1 Β· β±οΈ 31.07.2023): +- [PyPi](https://pypi.org/project/yellowbrick) (π₯ 410K / month): ``` - pip install aix360 + pip install yellowbrick + ``` +- [Conda](https://anaconda.org/conda-forge/yellowbrick) (π₯ 74K Β· β±οΈ 16.06.2023): + ``` + conda install -c conda-forge yellowbrick ``` </details> -<details><summary><b><a href="https://github.com/interpretml/DiCE">DiCE</a></b> (π₯23 Β· β 1.2K) - Generate Diverse Counterfactual Explanations for any machine.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> +<details><summary><b><a href="https://github.com/philipperemy/keract">keract</a></b> (π₯23 Β· β 1K) - Layers Outputs and Gradients in Keras. Made easy. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/interpretml/DiCE) (π¨βπ» 19 Β· π 170 Β· π 160 - 42% open Β· β±οΈ 09.12.2023): +- [GitHub](https://github.com/philipperemy/keract) (π¨βπ» 16 Β· π 180 Β· π¦ 200 Β· π 88 - 2% open Β· β±οΈ 17.11.2023): ``` - git clone https://github.com/interpretml/DiCE + git clone https://github.com/philipperemy/keract ``` -- [PyPi](https://pypi.org/project/dice-ml) (π₯ 45K / month Β· π¦ 6 Β· β±οΈ 27.10.2023): +- [PyPi](https://pypi.org/project/keract) (π₯ 3.8K / month): ``` - pip install dice-ml + pip install keract ``` </details> <details><summary><b><a href="https://github.com/jalammar/ecco">ecco</a></b> (π₯22 Β· β 1.9K) - Explain, analyze, and visualize NLP language models. Ecco creates.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> @@ -6537,7 +6520,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/jalammar/ecco ``` -- [PyPi](https://pypi.org/project/ecco) (π₯ 300 / month): +- [PyPi](https://pypi.org/project/ecco) (π₯ 300 / month Β· π¦ 1 Β· β±οΈ 09.01.2022): ``` pip install ecco ``` @@ -6546,26 +6529,14 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin conda install -c conda-forge ecco ``` </details> -<details><summary><b><a href="https://github.com/dssg/aequitas">aequitas</a></b> (π₯22 Β· β 610) - Bias and Fairness Audit Toolkit. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> - -- [GitHub](https://github.com/dssg/aequitas) (π¨βπ» 19 Β· π 100 Β· π¦ 150 Β· π 76 - 63% open Β· β±οΈ 24.01.2024): - - ``` - git clone https://github.com/dssg/aequitas - ``` -- [PyPi](https://pypi.org/project/aequitas) (π₯ 2.7K / month Β· π¦ 7 Β· β±οΈ 16.12.2020): - ``` - pip install aequitas - ``` -</details> -<details><summary><b><a href="https://github.com/PAIR-code/what-if-tool">What-If Tool</a></b> (π₯21 Β· β 870 Β· π€) - Source code/webpage/demos for the What-If Tool. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> +<details><summary><b><a href="https://github.com/PAIR-code/what-if-tool">What-If Tool</a></b> (π₯22 Β· β 870 Β· π€) - Source code/webpage/demos for the What-If Tool. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> -- [GitHub](https://github.com/PAIR-code/what-if-tool) (π¨βπ» 20 Β· π 160 Β· π¦ 2 Β· π 120 - 53% open Β· β±οΈ 27.04.2023): +- [GitHub](https://github.com/PAIR-code/what-if-tool) (π¨βπ» 20 Β· π 160 Β· π¦ 2 Β· π 140 - 58% open Β· β±οΈ 27.04.2023): ``` git clone https://github.com/PAIR-code/what-if-tool ``` -- [PyPi](https://pypi.org/project/witwidget) (π₯ 2.3K / month): +- [PyPi](https://pypi.org/project/witwidget) (π₯ 2.4K / month Β· π¦ 4 Β· β±οΈ 12.10.2021): ``` pip install witwidget ``` @@ -6573,35 +6544,47 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` conda install -c conda-forge tensorboard-plugin-wit ``` -- [npm](https://www.npmjs.com/package/wit-widget) (π₯ 1.1K / month): +- [npm](https://www.npmjs.com/package/wit-widget) (π₯ 1.3K / month Β· π¦ 2 Β· β±οΈ 12.10.2021): ``` npm install wit-widget ``` </details> -<details><summary><b><a href="https://github.com/tensorflow/model-card-toolkit">model-card-toolkit</a></b> (π₯20 Β· β 400) - A toolkit that streamlines and automates the generation.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> +<details><summary><b><a href="https://github.com/interpretml/DiCE">DiCE</a></b> (π₯21 Β· β 1.2K) - Generate Diverse Counterfactual Explanations for any machine.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/tensorflow/model-card-toolkit) (π¨βπ» 22 Β· π 80 Β· π₯ 17 Β· π¦ 23 Β· π 33 - 30% open Β· β±οΈ 26.07.2023): +- [GitHub](https://github.com/interpretml/DiCE) (π¨βπ» 19 Β· π 170 Β· π 160 - 40% open Β· β±οΈ 09.12.2023): ``` - git clone https://github.com/tensorflow/model-card-toolkit + git clone https://github.com/interpretml/DiCE ``` -- [PyPi](https://pypi.org/project/model-card-toolkit) (π₯ 1.2K / month Β· π¦ 1 Β· β±οΈ 28.04.2022): +- [PyPi](https://pypi.org/project/dice-ml) (π₯ 51K / month): ``` - pip install model-card-toolkit + pip install dice-ml ``` </details> -<details><summary><b><a href="https://github.com/aerdem4/lofo-importance">LOFO</a></b> (π₯19 Β· β 790) - Leave One Feature Out Importance. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> +<details><summary><b><a href="https://github.com/aerdem4/lofo-importance">LOFO</a></b> (π₯20 Β· β 790) - Leave One Feature Out Importance. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> - [GitHub](https://github.com/aerdem4/lofo-importance) (π¨βπ» 6 Β· π 81 Β· π¦ 27 Β· π 26 - 11% open Β· β±οΈ 16.01.2024): ``` git clone https://github.com/aerdem4/lofo-importance ``` -- [PyPi](https://pypi.org/project/lofo-importance) (π₯ 1K / month Β· π¦ 4 Β· β±οΈ 16.01.2024): +- [PyPi](https://pypi.org/project/lofo-importance) (π₯ 1.4K / month Β· π¦ 4 Β· β±οΈ 16.01.2024): ``` pip install lofo-importance ``` </details> +<details><summary><b><a href="https://github.com/tensorflow/model-card-toolkit">model-card-toolkit</a></b> (π₯20 Β· β 400 Β· π€) - A toolkit that streamlines and automates the.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> + +- [GitHub](https://github.com/tensorflow/model-card-toolkit) (π¨βπ» 22 Β· π 81 Β· π₯ 18 Β· π¦ 23 Β· π 33 - 30% open Β· β±οΈ 26.07.2023): + + ``` + git clone https://github.com/tensorflow/model-card-toolkit + ``` +- [PyPi](https://pypi.org/project/model-card-toolkit) (π₯ 1.1K / month Β· π¦ 1 Β· β±οΈ 28.04.2022): + ``` + pip install model-card-toolkit + ``` +</details> <details><summary><b><a href="https://github.com/tensorflow/fairness-indicators">fairness-indicators</a></b> (π₯18 Β· β 330) - Tensorflows Fairness Evaluation and Visualization.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code> <code><img src="https://git.io/JLy1E" style="display:inline;" width="13" height="13"></code></summary> - [GitHub](https://github.com/tensorflow/fairness-indicators) (π¨βπ» 34 Β· π 78 Β· π 30 - 70% open Β· β±οΈ 16.01.2024): @@ -6609,7 +6592,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/tensorflow/fairness-indicators ``` -- [PyPi](https://pypi.org/project/fairness-indicators) (π₯ 2K / month Β· β±οΈ 13.12.2022): +- [PyPi](https://pypi.org/project/fairness-indicators) (π₯ 2.2K / month Β· β±οΈ 13.12.2022): ``` pip install fairness-indicators ``` @@ -6621,19 +6604,19 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/MisaOgura/flashtorch ``` -- [PyPi](https://pypi.org/project/flashtorch) (π₯ 400 / month): +- [PyPi](https://pypi.org/project/flashtorch) (π₯ 550 / month): ``` pip install flashtorch ``` </details> <details><summary><b><a href="https://github.com/explainX/explainx">ExplainX.ai</a></b> (π₯16 Β· β 380) - Explainable AI framework for data scientists. Explain & debug any.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> -- [GitHub](https://github.com/explainX/explainx) (π¨βπ» 5 Β· π 51 Β· π₯ 13 Β· π 39 - 25% open Β· β±οΈ 15.01.2024): +- [GitHub](https://github.com/explainX/explainx) (π¨βπ» 5 Β· π 51 Β· π₯ 13 Β· π 31 - 6% open Β· β±οΈ 15.01.2024): ``` git clone https://github.com/explainX/explainx ``` -- [PyPi](https://pypi.org/project/explainx) (π₯ 250 / month Β· β±οΈ 04.02.2021): +- [PyPi](https://pypi.org/project/explainx) (π₯ 210 / month): ``` pip install explainx ``` @@ -6659,20 +6642,20 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin - <b><a href="https://github.com/tensorflow/lucid">Lucid</a></b> (π₯25 Β· β 4.6K Β· π) - A collection of infrastructure and tools for research in.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code> - <b><a href="https://github.com/ModelOriented/DALEX">DALEX</a></b> (π₯25 Β· β 1.3K) - moDel Agnostic Language for Exploration and eXplanation. <code><a href="http://bit.ly/2M0xdwT">βοΈGPL-3.0</a></code> - <b><a href="https://github.com/raghakot/keras-vis">keras-vis</a></b> (π₯24 Β· β 3K Β· π) - Neural network visualization toolkit for keras. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code> -- <b><a href="https://github.com/parrt/random-forest-importances">random-forest-importances</a></b> (π₯23 Β· β 580 Β· π) - Code to compute permutation and drop-column.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code> -- <b><a href="https://github.com/TeamHG-Memex/eli5">eli5</a></b> (π₯22 Β· β 2.7K Β· π) - A library for debugging/inspecting machine learning classifiers and.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> +- <b><a href="https://github.com/TeamHG-Memex/eli5">eli5</a></b> (π₯23 Β· β 2.7K Β· π) - A library for debugging/inspecting machine learning classifiers and.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> - <b><a href="https://github.com/sicara/tf-explain">tf-explain</a></b> (π₯22 Β· β 1K Β· π) - Interpretability Methods for tf.keras models with Tensorflow.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code> +- <b><a href="https://github.com/parrt/random-forest-importances">random-forest-importances</a></b> (π₯22 Β· β 580 Β· π) - Code to compute permutation and drop-column.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code> - <b><a href="https://github.com/understandable-machine-intelligence-lab/Quantus">Quantus</a></b> (π₯22 Β· β 460) - Quantus is an eXplainable AI toolkit for responsible evaluation of.. <code><a href="http://bit.ly/2M0xdwT">βοΈGPL-3.0</a></code> - <b><a href="https://github.com/kundajelab/deeplift">deeplift</a></b> (π₯21 Β· β 780 Β· π) - Public facing deeplift repo. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> - <b><a href="https://github.com/andosa/treeinterpreter">TreeInterpreter</a></b> (π₯21 Β· β 730 Β· π) - Package for interpreting scikit-learns decision tree.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code> -- <b><a href="https://github.com/tensorflow/tcav">tcav</a></b> (π₯19 Β· β 600 Β· π) - Code for the TCAV ML interpretability project. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code> +- <b><a href="https://github.com/tensorflow/tcav">tcav</a></b> (π₯19 Β· β 610 Β· π) - Code for the TCAV ML interpretability project. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code> - <b><a href="https://github.com/EthicalML/xai">XAI</a></b> (π₯17 Β· β 1K Β· π) - XAI - An eXplainability toolbox for machine learning. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> +- <b><a href="https://github.com/edublancas/sklearn-evaluation">sklearn-evaluation</a></b> (π₯17 Β· β 360 Β· π) - Machine learning model evaluation made easy: plots,.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code> - <b><a href="https://github.com/marcotcr/anchor">Anchor</a></b> (π₯15 Β· β 780 Β· π) - Code for High-Precision Model-Agnostic Explanations paper. <code><a href="http://bit.ly/3rqEWVr">BSD-2</a></code> - <b><a href="https://github.com/oracle/Skater">Skater</a></b> (π₯14 Β· β 1.1K) - Python Library for Model Interpretation/Explanations. <code><a href="https://tldrlegal.com/search?q=UPL-1.0">βοΈUPL-1.0</a></code> -- <b><a href="https://github.com/suinleelab/attributionpriors">Attribution Priors</a></b> (π₯12 Β· β 120 Β· π) - Tools for training explainable models using.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code> - <b><a href="https://github.com/SAP-archive/contextual-ai">contextual-ai</a></b> (π₯12 Β· β 85 Β· π) - Contextual AI adds explainability to different stages of.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> +- <b><a href="https://github.com/suinleelab/attributionpriors">Attribution Priors</a></b> (π₯11 Β· β 120 Β· π) - Tools for training explainable models using.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code> - <b><a href="https://github.com/intuit/bias-detector">bias-detector</a></b> (π₯11 Β· β 42 Β· π) - Bias Detector is a python package for detecting bias in machine.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> -- <b><a href="https://github.com/edublancas/sklearn-evaluation">sklearn-evaluation</a></b> (π₯10 Β· β 3 Β· π€) - Machine learning model evaluation made easy: plots,.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code> </details> <br> @@ -6684,30 +6667,30 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit π <b><a href="https://github.com/erikbern/ann-benchmarks">ANN Benchmarks</a></b> ( β 4.3K) - Benchmarks of approximate nearest neighbor libraries in Python. -<details><summary><b><a href="https://github.com/milvus-io/milvus">Milvus</a></b> (π₯38 Β· β 25K) - A cloud-native vector database, storage for next generation AI.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> +<details><summary><b><a href="https://github.com/milvus-io/milvus">Milvus</a></b> (π₯41 Β· β 25K) - A cloud-native vector database, storage for next generation AI.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> -- [GitHub](https://github.com/milvus-io/milvus) (π¨βπ» 260 Β· π 2.7K Β· π₯ 69K Β· π 10K - 6% open Β· β±οΈ 25.01.2024): +- [GitHub](https://github.com/milvus-io/milvus) (π¨βπ» 260 Β· π 2.7K Β· π₯ 70K Β· π 10K - 5% open Β· β±οΈ 01.02.2024): ``` git clone https://github.com/milvus-io/milvus ``` -- [PyPi](https://pypi.org/project/pymilvus) (π₯ 410K / month): +- [PyPi](https://pypi.org/project/pymilvus) (π₯ 460K / month Β· π¦ 82 Β· β±οΈ 24.01.2024): ``` pip install pymilvus ``` -- [Docker Hub](https://hub.docker.com/r/milvusdb/milvus) (π₯ 11M Β· β 39 Β· β±οΈ 25.01.2024): +- [Docker Hub](https://hub.docker.com/r/milvusdb/milvus) (π₯ 11M Β· β 39 Β· β±οΈ 01.02.2024): ``` docker pull milvusdb/milvus ``` </details> -<details><summary><b><a href="https://github.com/facebookresearch/faiss">Faiss</a></b> (π₯37 Β· β 26K) - A library for efficient similarity search and clustering of dense vectors. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> +<details><summary><b><a href="https://github.com/facebookresearch/faiss">Faiss</a></b> (π₯39 Β· β 27K) - A library for efficient similarity search and clustering of dense vectors. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> -- [GitHub](https://github.com/facebookresearch/faiss) (π¨βπ» 150 Β· π 3.2K Β· π¦ 3.4K Β· π 2.3K - 17% open Β· β±οΈ 24.01.2024): +- [GitHub](https://github.com/facebookresearch/faiss) (π¨βπ» 150 Β· π 3.3K Β· π¦ 3.4K Β· π 2.3K - 18% open Β· β±οΈ 31.01.2024): ``` git clone https://github.com/facebookresearch/faiss ``` -- [PyPi](https://pypi.org/project/pymilvus) (π₯ 410K / month): +- [PyPi](https://pypi.org/project/pymilvus) (π₯ 460K / month Β· π¦ 82 Β· β±οΈ 24.01.2024): ``` pip install pymilvus ``` @@ -6716,14 +6699,14 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit conda install -c conda-forge faiss ``` </details> -<details><summary><b><a href="https://github.com/spotify/annoy">Annoy</a></b> (π₯33 Β· β 12K) - Approximate Nearest Neighbors in C++/Python optimized for memory usage.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> +<details><summary><b><a href="https://github.com/spotify/annoy">Annoy</a></b> (π₯34 Β· β 12K) - Approximate Nearest Neighbors in C++/Python optimized for memory usage.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> - [GitHub](https://github.com/spotify/annoy) (π¨βπ» 88 Β· π 1.1K Β· π¦ 3.5K Β· π 400 - 13% open Β· β±οΈ 20.08.2023): ``` git clone https://github.com/spotify/annoy ``` -- [PyPi](https://pypi.org/project/annoy) (π₯ 830K / month Β· π¦ 270 Β· β±οΈ 14.06.2023): +- [PyPi](https://pypi.org/project/annoy) (π₯ 810K / month Β· π¦ 270 Β· β±οΈ 14.06.2023): ``` pip install annoy ``` @@ -6734,28 +6717,28 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit </details> <details><summary><b><a href="https://github.com/nmslib/hnswlib">hnswlib</a></b> (π₯33 Β· β 3.8K) - Header-only C++/python library for fast approximate nearest neighbors. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> -- [GitHub](https://github.com/nmslib/hnswlib) (π¨βπ» 72 Β· π 530 Β· π¦ 5.9K Β· π 320 - 52% open Β· β±οΈ 03.12.2023): +- [GitHub](https://github.com/nmslib/hnswlib) (π¨βπ» 72 Β· π 600 Β· π¦ 5.9K Β· π 340 - 55% open Β· β±οΈ 03.12.2023): ``` git clone https://github.com/nmslib/hnswlib ``` -- [PyPi](https://pypi.org/project/hnswlib) (π₯ 600K / month): +- [PyPi](https://pypi.org/project/hnswlib) (π₯ 630K / month Β· π¦ 66 Β· β±οΈ 03.12.2023): ``` pip install hnswlib ``` -- [Conda](https://anaconda.org/conda-forge/hnswlib) (π₯ 120K Β· β±οΈ 27.09.2023): +- [Conda](https://anaconda.org/conda-forge/hnswlib) (π₯ 130K Β· β±οΈ 27.09.2023): ``` conda install -c conda-forge hnswlib ``` </details> <details><summary><b><a href="https://github.com/lmcinnes/pynndescent">PyNNDescent</a></b> (π₯29 Β· β 820) - A Python nearest neighbor descent for approximate nearest neighbors. <code><a href="http://bit.ly/3rqEWVr">BSD-2</a></code></summary> -- [GitHub](https://github.com/lmcinnes/pynndescent) (π¨βπ» 27 Β· π 100 Β· π¦ 5.3K Β· π 130 - 54% open Β· β±οΈ 10.01.2024): +- [GitHub](https://github.com/lmcinnes/pynndescent) (π¨βπ» 27 Β· π 100 Β· π¦ 5.4K Β· π 130 - 53% open Β· β±οΈ 10.01.2024): ``` git clone https://github.com/lmcinnes/pynndescent ``` -- [PyPi](https://pypi.org/project/pynndescent) (π₯ 970K / month Β· π¦ 72 Β· β±οΈ 20.11.2023): +- [PyPi](https://pypi.org/project/pynndescent) (π₯ 1.1M / month Β· π¦ 72 Β· β±οΈ 20.11.2023): ``` pip install pynndescent ``` @@ -6764,18 +6747,18 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit conda install -c conda-forge pynndescent ``` </details> -<details><summary><b><a href="https://github.com/unum-cloud/usearch">USearch</a></b> (π₯28 Β· β 1.3K) - Fast Open-Source Search & Clustering engine for Vectors & Strings in.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> +<details><summary><b><a href="https://github.com/unum-cloud/usearch">USearch</a></b> (π₯28 Β· β 1.4K) - Fast Open-Source Search & Clustering engine for Vectors & Strings in.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> -- [GitHub](https://github.com/unum-cloud/usearch) (π¨βπ» 27 Β· π 67 Β· π₯ 900 Β· π¦ 45 Β· π 80 - 35% open Β· β±οΈ 24.01.2024): +- [GitHub](https://github.com/unum-cloud/usearch) (π¨βπ» 27 Β· π 67 Β· π₯ 900 Β· π¦ 47 Β· π 80 - 35% open Β· β±οΈ 24.01.2024): ``` git clone https://github.com/unum-cloud/usearch ``` -- [PyPi](https://pypi.org/project/usearch) (π₯ 40K / month Β· π¦ 3 Β· β±οΈ 09.01.2024): +- [PyPi](https://pypi.org/project/usearch) (π₯ 41K / month Β· π¦ 3 Β· β±οΈ 09.01.2024): ``` pip install usearch ``` -- [npm](https://www.npmjs.com/package/usearch) (π₯ 8.7K / month Β· π¦ 8 Β· β±οΈ 24.01.2024): +- [npm](https://www.npmjs.com/package/usearch) (π₯ 10K / month Β· π¦ 8 Β· β±οΈ 24.01.2024): ``` npm install usearch ``` @@ -6791,23 +6774,11 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit ``` git clone https://github.com/yahoojapan/NGT ``` -- [PyPi](https://pypi.org/project/ngt) (π₯ 4.8K / month Β· π¦ 8 Β· β±οΈ 06.12.2023): +- [PyPi](https://pypi.org/project/ngt) (π₯ 5.1K / month Β· π¦ 8 Β· β±οΈ 06.12.2023): ``` pip install ngt ``` </details> -<details><summary><b><a href="https://github.com/pixelogik/NearPy">NearPy</a></b> (π₯20 Β· β 750 Β· π€) - Python framework for fast (approximated) nearest neighbour search in.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> - -- [GitHub](https://github.com/pixelogik/NearPy) (π¨βπ» 20 Β· π 150 Β· π¦ 98 Β· π 64 - 39% open Β· β±οΈ 22.01.2023): - - ``` - git clone https://github.com/pixelogik/NearPy - ``` -- [PyPi](https://pypi.org/project/NearPy) (π₯ 630 / month Β· π¦ 16 Β· β±οΈ 27.09.2016): - ``` - pip install NearPy - ``` -</details> <details><summary><b><a href="https://github.com/kakao/n2">N2</a></b> (π₯19 Β· β 560 Β· π€) - TOROS N2 - lightweight approximate Nearest Neighbor library which runs.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> - [GitHub](https://github.com/kakao/n2) (π¨βπ» 20 Β· π 75 Β· π¦ 31 Β· π 35 - 37% open Β· β±οΈ 27.06.2023): @@ -6815,15 +6786,16 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit ``` git clone https://github.com/kakao/n2 ``` -- [PyPi](https://pypi.org/project/n2) (π₯ 290 / month Β· π¦ 4 Β· β±οΈ 16.10.2020): +- [PyPi](https://pypi.org/project/n2) (π₯ 330 / month Β· π¦ 4 Β· β±οΈ 16.10.2020): ``` pip install n2 ``` </details> -<details><summary>Show 3 hidden projects...</summary> +<details><summary>Show 4 hidden projects...</summary> -- <b><a href="https://github.com/nmslib/nmslib">NMSLIB</a></b> (π₯31 Β· β 3.2K Β· π) - Non-Metric Space Library (NMSLIB): An efficient similarity search.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> +- <b><a href="https://github.com/nmslib/nmslib">NMSLIB</a></b> (π₯30 Β· β 3.2K Β· π) - Non-Metric Space Library (NMSLIB): An efficient similarity search.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> - <b><a href="https://github.com/plasticityai/magnitude">Magnitude</a></b> (π₯22 Β· β 1.6K Β· π) - A fast, efficient universal vector embedding utility package. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> +- <b><a href="https://github.com/pixelogik/NearPy">NearPy</a></b> (π₯20 Β· β 750 Β· π) - Python framework for fast (approximated) nearest neighbour search in.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> - <b><a href="https://github.com/facebookresearch/pysparnn">PySparNN</a></b> (π₯11 Β· β 910 Β· π) - Approximate Nearest Neighbor Search for Sparse Data in Python!. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> </details> <br> @@ -6836,12 +6808,12 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes <details><summary><b><a href="https://github.com/pymc-devs/pymc">PyMC3</a></b> (π₯40 Β· β 8K) - Bayesian Modeling and Probabilistic Programming in Python. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> -- [GitHub](https://github.com/pymc-devs/pymc) (π¨βπ» 480 Β· π 1.9K Β· π₯ 1.9K Β· π¦ 2.6K Β· π 3.2K - 8% open Β· β±οΈ 23.01.2024): +- [GitHub](https://github.com/pymc-devs/pymc) (π¨βπ» 480 Β· π 1.9K Β· π₯ 1.9K Β· π¦ 2.7K Β· π 3.2K - 8% open Β· β±οΈ 29.01.2024): ``` git clone https://github.com/pymc-devs/pymc ``` -- [PyPi](https://pypi.org/project/pymc3) (π₯ 620K / month Β· π¦ 250 Β· β±οΈ 15.03.2022): +- [PyPi](https://pypi.org/project/pymc3) (π₯ 670K / month Β· π¦ 250 Β· β±οΈ 15.03.2022): ``` pip install pymc3 ``` @@ -6850,14 +6822,14 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes conda install -c conda-forge pymc3 ``` </details> -<details><summary><b><a href="https://github.com/tensorflow/probability">tensorflow-probability</a></b> (π₯37 Β· β 4K) - Probabilistic reasoning and statistical analysis in.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary> +<details><summary><b><a href="https://github.com/tensorflow/probability">tensorflow-probability</a></b> (π₯36 Β· β 4K) - Probabilistic reasoning and statistical analysis in.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/tensorflow/probability) (π¨βπ» 490 Β· π 1.1K Β· π 1.4K - 46% open Β· β±οΈ 22.01.2024): +- [GitHub](https://github.com/tensorflow/probability) (π¨βπ» 490 Β· π 1.1K Β· π 1.4K - 46% open Β· β±οΈ 31.01.2024): ``` git clone https://github.com/tensorflow/probability ``` -- [PyPi](https://pypi.org/project/tensorflow-probability) (π₯ 2.2M / month Β· π¦ 450 Β· β±οΈ 20.11.2023): +- [PyPi](https://pypi.org/project/tensorflow-probability) (π₯ 2.5M / month Β· π¦ 460 Β· β±οΈ 20.11.2023): ``` pip install tensorflow-probability ``` @@ -6868,7 +6840,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes </details> <details><summary><b><a href="https://github.com/pydata/patsy">patsy</a></b> (π₯33 Β· β 910) - Describing statistical models in Python using symbolic formulas. <code><a href="http://bit.ly/3rqEWVr">BSD-2</a></code></summary> -- [GitHub](https://github.com/pydata/patsy) (π¨βπ» 19 Β· π 110 Β· π¦ 87K Β· π 150 - 47% open Β· β±οΈ 04.01.2024): +- [GitHub](https://github.com/pydata/patsy) (π¨βπ» 19 Β· π 110 Β· π¦ 88K Β· π 150 - 47% open Β· β±οΈ 04.01.2024): ``` git clone https://github.com/pydata/patsy @@ -6889,7 +6861,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes ``` git clone https://github.com/pyro-ppl/pyro ``` -- [PyPi](https://pypi.org/project/pyro-ppl) (π₯ 260K / month Β· π¦ 120 Β· β±οΈ 29.07.2023): +- [PyPi](https://pypi.org/project/pyro-ppl) (π₯ 290K / month Β· π¦ 120 Β· β±οΈ 29.07.2023): ``` pip install pyro-ppl ``` @@ -6898,26 +6870,26 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes conda install -c conda-forge pyro-ppl ``` </details> -<details><summary><b><a href="https://github.com/pgmpy/pgmpy">pgmpy</a></b> (π₯32 Β· β 2.6K) - Python Library for learning (Structure and Parameter), inference.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> +<details><summary><b><a href="https://github.com/pgmpy/pgmpy">pgmpy</a></b> (π₯31 Β· β 2.6K) - Python Library for learning (Structure and Parameter), inference.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> -- [GitHub](https://github.com/pgmpy/pgmpy) (π¨βπ» 120 Β· π 690 Β· π₯ 310 Β· π¦ 840 Β· π 880 - 29% open Β· β±οΈ 17.01.2024): +- [GitHub](https://github.com/pgmpy/pgmpy) (π¨βπ» 120 Β· π 690 Β· π₯ 310 Β· π¦ 840 Β· π 880 - 29% open Β· β±οΈ 30.01.2024): ``` git clone https://github.com/pgmpy/pgmpy ``` -- [PyPi](https://pypi.org/project/pgmpy) (π₯ 41K / month Β· π¦ 32 Β· β±οΈ 16.10.2023): +- [PyPi](https://pypi.org/project/pgmpy) (π₯ 46K / month Β· π¦ 32 Β· β±οΈ 16.10.2023): ``` pip install pgmpy ``` </details> <details><summary><b><a href="https://github.com/dfm/emcee">emcee</a></b> (π₯31 Β· β 1.4K) - The Python ensemble sampling toolkit for affine-invariant MCMC. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> -- [GitHub](https://github.com/dfm/emcee) (π¨βπ» 73 Β· π 430 Β· π¦ 2.2K Β· π 280 - 17% open Β· β±οΈ 02.01.2024): +- [GitHub](https://github.com/dfm/emcee) (π¨βπ» 73 Β· π 430 Β· π¦ 2.2K Β· π 280 - 17% open Β· β±οΈ 29.01.2024): ``` git clone https://github.com/dfm/emcee ``` -- [PyPi](https://pypi.org/project/emcee) (π₯ 120K / month Β· π¦ 370 Β· β±οΈ 02.02.2023): +- [PyPi](https://pypi.org/project/emcee) (π₯ 130K / month Β· π¦ 370 Β· β±οΈ 02.02.2023): ``` pip install emcee ``` @@ -6933,7 +6905,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes ``` git clone https://github.com/cornellius-gp/gpytorch ``` -- [PyPi](https://pypi.org/project/gpytorch) (π₯ 150K / month Β· π¦ 90 Β· β±οΈ 02.06.2023): +- [PyPi](https://pypi.org/project/gpytorch) (π₯ 170K / month Β· π¦ 90 Β· β±οΈ 02.06.2023): ``` pip install gpytorch ``` @@ -6949,7 +6921,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes ``` git clone https://github.com/hmmlearn/hmmlearn ``` -- [PyPi](https://pypi.org/project/hmmlearn) (π₯ 240K / month Β· π¦ 140 Β· β±οΈ 18.04.2023): +- [PyPi](https://pypi.org/project/hmmlearn) (π₯ 270K / month Β· π¦ 150 Β· β±οΈ 18.04.2023): ``` pip install hmmlearn ``` @@ -6958,52 +6930,52 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes conda install -c conda-forge hmmlearn ``` </details> -<details><summary><b><a href="https://github.com/GPflow/GPflow">GPflow</a></b> (π₯30 Β· β 1.8K) - Gaussian processes in TensorFlow. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary> +<details><summary><b><a href="https://github.com/SALib/SALib">SALib</a></b> (π₯30 Β· β 790) - Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> -- [GitHub](https://github.com/GPflow/GPflow) (π¨βπ» 84 Β· π 440 Β· π¦ 610 Β· π 820 - 17% open Β· β±οΈ 04.01.2024): +- [GitHub](https://github.com/SALib/SALib) (π¨βπ» 44 Β· π 220 Β· π¦ 1K Β· π 310 - 13% open Β· β±οΈ 22.01.2024): ``` - git clone https://github.com/GPflow/GPflow + git clone https://github.com/SALib/SALib ``` -- [PyPi](https://pypi.org/project/gpflow) (π₯ 43K / month Β· π¦ 37 Β· β±οΈ 09.08.2023): +- [PyPi](https://pypi.org/project/salib) (π₯ 150K / month): ``` - pip install gpflow + pip install salib ``` -- [Conda](https://anaconda.org/conda-forge/gpflow) (π₯ 25K Β· β±οΈ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/salib) (π₯ 140K Β· β±οΈ 16.06.2023): ``` - conda install -c conda-forge gpflow + conda install -c conda-forge salib ``` </details> -<details><summary><b><a href="https://github.com/SALib/SALib">SALib</a></b> (π₯30 Β· β 780) - Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> +<details><summary><b><a href="https://github.com/jmschrei/pomegranate">pomegranate</a></b> (π₯29 Β· β 3.2K) - Fast, flexible and easy to use probabilistic modelling in Python. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> -- [GitHub](https://github.com/SALib/SALib) (π¨βπ» 45 Β· π 230 Β· π¦ 1K Β· π 310 - 14% open Β· β±οΈ 22.01.2024): +- [GitHub](https://github.com/jmschrei/pomegranate) (π¨βπ» 72 Β· π 570 Β· π¦ 1K Β· π 740 - 4% open Β· β±οΈ 13.11.2023): ``` - git clone https://github.com/SALib/SALib + git clone https://github.com/jmschrei/pomegranate ``` -- [PyPi](https://pypi.org/project/salib) (π₯ 140K / month Β· π¦ 89 Β· β±οΈ 08.01.2023): +- [PyPi](https://pypi.org/project/pomegranate) (π₯ 30K / month Β· π¦ 59 Β· β±οΈ 17.09.2023): ``` - pip install salib + pip install pomegranate ``` -- [Conda](https://anaconda.org/conda-forge/salib) (π₯ 140K Β· β±οΈ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/pomegranate) (π₯ 140K Β· β±οΈ 10.12.2023): ``` - conda install -c conda-forge salib + conda install -c conda-forge pomegranate ``` </details> -<details><summary><b><a href="https://github.com/jmschrei/pomegranate">pomegranate</a></b> (π₯29 Β· β 3.2K) - Fast, flexible and easy to use probabilistic modelling in Python. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> +<details><summary><b><a href="https://github.com/GPflow/GPflow">GPflow</a></b> (π₯29 Β· β 1.8K) - Gaussian processes in TensorFlow. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/jmschrei/pomegranate) (π¨βπ» 72 Β· π 570 Β· π¦ 1K Β· π 740 - 4% open Β· β±οΈ 13.11.2023): +- [GitHub](https://github.com/GPflow/GPflow) (π¨βπ» 84 Β· π 440 Β· π¦ 610 Β· π 820 - 17% open Β· β±οΈ 04.01.2024): ``` - git clone https://github.com/jmschrei/pomegranate + git clone https://github.com/GPflow/GPflow ``` -- [PyPi](https://pypi.org/project/pomegranate) (π₯ 23K / month Β· π¦ 59 Β· β±οΈ 17.09.2023): +- [PyPi](https://pypi.org/project/gpflow) (π₯ 45K / month Β· π¦ 37 Β· β±οΈ 09.08.2023): ``` - pip install pomegranate + pip install gpflow ``` -- [Conda](https://anaconda.org/conda-forge/pomegranate) (π₯ 140K Β· β±οΈ 10.12.2023): +- [Conda](https://anaconda.org/conda-forge/gpflow) (π₯ 25K Β· β±οΈ 16.06.2023): ``` - conda install -c conda-forge pomegranate + conda install -c conda-forge gpflow ``` </details> <details><summary><b><a href="https://github.com/stan-dev/pystan">PyStan</a></b> (π₯29 Β· β 300) - PyStan, a Python interface to Stan, a platform for statistical modeling... <code><a href="http://bit.ly/3hkKRql">ISC</a></code></summary> @@ -7013,7 +6985,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes ``` git clone https://github.com/stan-dev/pystan ``` -- [PyPi](https://pypi.org/project/pystan) (π₯ 1.6M / month Β· π¦ 260 Β· β±οΈ 14.12.2023): +- [PyPi](https://pypi.org/project/pystan) (π₯ 1.7M / month Β· π¦ 260 Β· β±οΈ 14.12.2023): ``` pip install pystan ``` @@ -7029,7 +7001,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes ``` git clone https://github.com/bambinos/bambi ``` -- [PyPi](https://pypi.org/project/bambi) (π₯ 15K / month): +- [PyPi](https://pypi.org/project/bambi) (π₯ 18K / month): ``` pip install bambi ``` @@ -7040,24 +7012,24 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes </details> <details><summary><b><a href="https://github.com/uber/orbit">Orbit</a></b> (π₯26 Β· β 1.8K) - A Python package for Bayesian forecasting with object-oriented design.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> -- [GitHub](https://github.com/uber/orbit) (π¨βπ» 19 Β· π 130 Β· π¦ 44 Β· π 400 - 13% open Β· β±οΈ 22.01.2024): +- [GitHub](https://github.com/uber/orbit) (π¨βπ» 19 Β· π 130 Β· π¦ 45 Β· π 400 - 13% open Β· β±οΈ 22.01.2024): ``` git clone https://github.com/uber/orbit ``` -- [PyPi](https://pypi.org/project/orbit-ml) (π₯ 34K / month Β· π¦ 1 Β· β±οΈ 29.01.2023): +- [PyPi](https://pypi.org/project/orbit-ml) (π₯ 35K / month Β· π¦ 1 Β· β±οΈ 29.01.2023): ``` pip install orbit-ml ``` </details> <details><summary><b><a href="https://github.com/maximtrp/scikit-posthocs">scikit-posthocs</a></b> (π₯25 Β· β 310) - Multiple Pairwise Comparisons (Post Hoc) Tests in Python. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/maximtrp/scikit-posthocs) (π¨βπ» 13 Β· π 38 Β· π₯ 39 Β· π¦ 590 Β· π 53 - 11% open Β· β±οΈ 13.12.2023): +- [GitHub](https://github.com/maximtrp/scikit-posthocs) (π¨βπ» 13 Β· π 38 Β· π₯ 39 Β· π¦ 600 Β· π 53 - 11% open Β· β±οΈ 13.12.2023): ``` git clone https://github.com/maximtrp/scikit-posthocs ``` -- [PyPi](https://pypi.org/project/scikit-posthocs) (π₯ 86K / month Β· π¦ 29 Β· β±οΈ 19.12.2023): +- [PyPi](https://pypi.org/project/scikit-posthocs) (π₯ 90K / month): ``` pip install scikit-posthocs ``` @@ -7084,12 +7056,12 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes </details> <details><summary>Show 7 hidden projects...</summary> -- <b><a href="https://github.com/rlabbe/filterpy">filterpy</a></b> (π₯32 Β· β 3K Β· π) - Python Kalman filtering and optimal estimation library. Implements.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> +- <b><a href="https://github.com/rlabbe/filterpy">filterpy</a></b> (π₯31 Β· β 3K Β· π) - Python Kalman filtering and optimal estimation library. Implements.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> - <b><a href="https://github.com/raphaelvallat/pingouin">pingouin</a></b> (π₯31 Β· β 1.5K) - Statistical package in Python based on Pandas. <code><a href="http://bit.ly/2M0xdwT">βοΈGPL-3.0</a></code> - <b><a href="https://github.com/twopirllc/pandas-ta">pandas-ta</a></b> (π₯30 Β· β 4.4K Β· π) - Technical Analysis Indicators - Pandas TA is an easy to use.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1S" style="display:inline;" width="13" height="13"></code> - <b><a href="https://github.com/blei-lab/edward">Edward</a></b> (π₯27 Β· β 4.8K Β· π) - A probabilistic programming language in TensorFlow. Deep.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code> -- <b><a href="https://github.com/pyro-ppl/funsor">Funsor</a></b> (π₯21 Β· β 230) - Functional tensors for probabilistic programming. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code> - <b><a href="https://github.com/mattjj/pyhsmm">pyhsmm</a></b> (π₯20 Β· β 540 Β· π) - Bayesian inference in HSMMs and HMMs. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> +- <b><a href="https://github.com/pyro-ppl/funsor">Funsor</a></b> (π₯20 Β· β 230) - Functional tensors for probabilistic programming. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code> - <b><a href="https://github.com/thu-ml/zhusuan">ZhuSuan</a></b> (π₯15 Β· β 2.2K Β· π) - A probabilistic programming library for Bayesian deep learning,.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code> </details> <br> @@ -7102,12 +7074,12 @@ _Libraries for testing the robustness of machine learning models against attacks <details><summary><b><a href="https://github.com/Trusted-AI/adversarial-robustness-toolbox">ART</a></b> (π₯34 Β· β 4.3K) - Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> -- [GitHub](https://github.com/Trusted-AI/adversarial-robustness-toolbox) (π¨βπ» 130 Β· π 1.1K Β· π¦ 480 Β· π 880 - 15% open Β· β±οΈ 19.01.2024): +- [GitHub](https://github.com/Trusted-AI/adversarial-robustness-toolbox) (π¨βπ» 130 Β· π 1.1K Β· π¦ 480 Β· π 890 - 16% open Β· β±οΈ 19.01.2024): ``` git clone https://github.com/Trusted-AI/adversarial-robustness-toolbox ``` -- [PyPi](https://pypi.org/project/adversarial-robustness-toolbox) (π₯ 20K / month Β· π¦ 11 Β· β±οΈ 27.12.2023): +- [PyPi](https://pypi.org/project/adversarial-robustness-toolbox) (π₯ 25K / month Β· π¦ 11 Β· β±οΈ 27.12.2023): ``` pip install adversarial-robustness-toolbox ``` @@ -7116,38 +7088,22 @@ _Libraries for testing the robustness of machine learning models against attacks conda install -c conda-forge adversarial-robustness-toolbox ``` </details> -<details><summary><b><a href="https://github.com/QData/TextAttack">TextAttack</a></b> (π₯30 Β· β 2.7K) - TextAttack is a Python framework for adversarial attacks, data.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> +<details><summary><b><a href="https://github.com/QData/TextAttack">TextAttack</a></b> (π₯29 Β· β 2.7K) - TextAttack is a Python framework for adversarial attacks, data.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> - [GitHub](https://github.com/QData/TextAttack) (π¨βπ» 61 Β· π 350 Β· π¦ 230 Β· π 260 - 18% open Β· β±οΈ 11.11.2023): ``` git clone https://github.com/QData/TextAttack ``` -- [PyPi](https://pypi.org/project/textattack) (π₯ 5.5K / month Β· π¦ 5 Β· β±οΈ 11.09.2023): +- [PyPi](https://pypi.org/project/textattack) (π₯ 6.2K / month Β· π¦ 5 Β· β±οΈ 11.09.2023): ``` pip install textattack ``` -- [Conda](https://anaconda.org/conda-forge/textattack) (π₯ 7K Β· β±οΈ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/textattack) (π₯ 7.1K Β· β±οΈ 16.06.2023): ``` conda install -c conda-forge textattack ``` </details> -<details><summary><b><a href="https://github.com/cleverhans-lab/cleverhans">CleverHans</a></b> (π₯29 Β· β 6K Β· π€) - An adversarial example library for constructing attacks,.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary> - -- [GitHub](https://github.com/cleverhans-lab/cleverhans) (π¨βπ» 130 Β· π 1.4K Β· π¦ 580 Β· π 460 - 8% open Β· β±οΈ 31.01.2023): - - ``` - git clone https://github.com/cleverhans-lab/cleverhans - ``` -- [PyPi](https://pypi.org/project/cleverhans) (π₯ 1K / month Β· π¦ 12 Β· β±οΈ 24.07.2021): - ``` - pip install cleverhans - ``` -- [Conda](https://anaconda.org/conda-forge/cleverhans) (π₯ 7.4K Β· β±οΈ 16.06.2023): - ``` - conda install -c conda-forge cleverhans - ``` -</details> <details><summary><b><a href="https://github.com/bethgelab/foolbox">Foolbox</a></b> (π₯27 Β· β 2.6K) - A Python toolbox to create adversarial examples that fool neural networks.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> - [GitHub](https://github.com/bethgelab/foolbox) (π¨βπ» 33 Β· π 410 Β· π¦ 550 Β· π 380 - 8% open Β· β±οΈ 22.01.2024): @@ -7155,7 +7111,7 @@ _Libraries for testing the robustness of machine learning models against attacks ``` git clone https://github.com/bethgelab/foolbox ``` -- [PyPi](https://pypi.org/project/foolbox) (π₯ 1.3K / month Β· π¦ 14 Β· β±οΈ 02.04.2022): +- [PyPi](https://pypi.org/project/foolbox) (π₯ 1.5K / month Β· π¦ 14 Β· β±οΈ 02.04.2022): ``` pip install foolbox ``` @@ -7164,12 +7120,13 @@ _Libraries for testing the robustness of machine learning models against attacks conda install -c conda-forge foolbox ``` </details> -<details><summary>Show 5 hidden projects...</summary> +<details><summary>Show 6 hidden projects...</summary> +- <b><a href="https://github.com/cleverhans-lab/cleverhans">CleverHans</a></b> (π₯30 Β· β 6K Β· π) - An adversarial example library for constructing attacks,.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code> - <b><a href="https://github.com/BorealisAI/advertorch">advertorch</a></b> (π₯22 Β· β 1.2K Β· π) - A Toolbox for Adversarial Robustness Research. <code><a href="http://bit.ly/2M0xdwT">βοΈGPL-3.0</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code> -- <b><a href="https://github.com/MadryLab/robustness">robustness</a></b> (π₯19 Β· β 860 Β· π) - A library for experimenting with, training and evaluating neural.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> +- <b><a href="https://github.com/MadryLab/robustness">robustness</a></b> (π₯19 Β· β 870 Β· π) - A library for experimenting with, training and evaluating neural.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> - <b><a href="https://github.com/advboxes/AdvBox">AdvBox</a></b> (π₯18 Β· β 1.4K Β· π) - Advbox is a toolbox to generate adversarial examples that fool.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> -- <b><a href="https://github.com/textflint/textflint">textflint</a></b> (π₯16 Β· β 620 Β· π) - Unified Multilingual Robustness Evaluation Toolkit for.. <code><a href="http://bit.ly/2M0xdwT">βοΈGPL-3.0</a></code> +- <b><a href="https://github.com/textflint/textflint">textflint</a></b> (π₯16 Β· β 630 Β· π) - Unified Multilingual Robustness Evaluation Toolkit for.. <code><a href="http://bit.ly/2M0xdwT">βοΈGPL-3.0</a></code> - <b><a href="https://github.com/airbnb/artificial-adversary">Adversary</a></b> (π₯15 Β· β 390 Β· π) - Tool to generate adversarial text examples and test machine.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> </details> <br> @@ -7180,48 +7137,52 @@ _Libraries for testing the robustness of machine learning models against attacks _Libraries that require and make use of CUDA/GPU or other accelerator hardware capabilities to optimize machine learning tasks._ -<details><summary><b><a href="https://github.com/huggingface/optimum">optimum</a></b> (π₯34 Β· β 1.9K) - Accelerate training and inference of Transformers and Diffusers with.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> +<details><summary><b><a href="https://github.com/cupy/cupy">CuPy</a></b> (π₯38 Β· β 7.5K Β· π) - NumPy & SciPy for GPU. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> -- [GitHub](https://github.com/huggingface/optimum) (π¨βπ» 89 Β· π 320 Β· π¦ 1.4K Β· π 640 - 44% open Β· β±οΈ 25.01.2024): +- [GitHub](https://github.com/cupy/cupy) (π¨βπ» 360 Β· π 740 Β· π₯ 170K Β· π¦ 1.9K Β· π 2.2K - 25% open Β· β±οΈ 31.01.2024): ``` - git clone https://github.com/huggingface/optimum + git clone https://github.com/cupy/cupy ``` -- [PyPi](https://pypi.org/project/optimum) (π₯ 790K / month Β· π¦ 60 Β· β±οΈ 19.01.2024): +- [PyPi](https://pypi.org/project/cupy) (π₯ 20K / month Β· π¦ 210 Β· β±οΈ 07.12.2023): ``` - pip install optimum + pip install cupy ``` -- [Conda](https://anaconda.org/conda-forge/optimum) (π₯ 11K Β· β±οΈ 19.01.2024): +- [Conda](https://anaconda.org/conda-forge/cupy) (π₯ 3.3M Β· β±οΈ 29.01.2024): ``` - conda install -c conda-forge optimum + conda install -c conda-forge cupy + ``` +- [Docker Hub](https://hub.docker.com/r/cupy/cupy) (π₯ 59K Β· β 11 Β· β±οΈ 18.01.2024): + ``` + docker pull cupy/cupy ``` </details> -<details><summary><b><a href="https://github.com/rapidsai/cudf">cuDF</a></b> (π₯33 Β· β 6.9K) - cuDF - GPU DataFrame Library. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> +<details><summary><b><a href="https://github.com/huggingface/optimum">optimum</a></b> (π₯34 Β· β 1.9K) - Accelerate training and inference of Transformers and Diffusers with.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> -- [GitHub](https://github.com/rapidsai/cudf) (π¨βπ» 270 Β· π 790 Β· π¦ 51 Β· π 5.9K - 15% open Β· β±οΈ 25.01.2024): +- [GitHub](https://github.com/huggingface/optimum) (π¨βπ» 95 Β· π 320 Β· π¦ 1.5K Β· π 650 - 44% open Β· β±οΈ 30.01.2024): ``` - git clone https://github.com/rapidsai/cudf + git clone https://github.com/huggingface/optimum ``` -- [PyPi](https://pypi.org/project/cudf) (π₯ 2.2K / month Β· π¦ 10 Β· β±οΈ 01.06.2020): +- [PyPi](https://pypi.org/project/optimum) (π₯ 880K / month Β· π¦ 60 Β· β±οΈ 19.01.2024): ``` - pip install cudf + pip install optimum + ``` +- [Conda](https://anaconda.org/conda-forge/optimum) (π₯ 11K Β· β±οΈ 19.01.2024): + ``` + conda install -c conda-forge optimum ``` </details> -<details><summary><b><a href="https://github.com/wookayin/gpustat">gpustat</a></b> (π₯31 Β· β 3.7K) - A simple command-line utility for querying and monitoring GPU status. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> +<details><summary><b><a href="https://github.com/rapidsai/cudf">cuDF</a></b> (π₯33 Β· β 7K) - cuDF - GPU DataFrame Library. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> -- [GitHub](https://github.com/wookayin/gpustat) (π¨βπ» 17 Β· π 270 Β· π¦ 4.6K Β· π 120 - 21% open Β· β±οΈ 12.01.2024): +- [GitHub](https://github.com/rapidsai/cudf) (π¨βπ» 270 Β· π 790 Β· π¦ 51 Β· π 5.9K - 15% open Β· β±οΈ 01.02.2024): ``` - git clone https://github.com/wookayin/gpustat - ``` -- [PyPi](https://pypi.org/project/gpustat) (π₯ 870K / month Β· π¦ 130 Β· β±οΈ 22.08.2023): - ``` - pip install gpustat + git clone https://github.com/rapidsai/cudf ``` -- [Conda](https://anaconda.org/conda-forge/gpustat) (π₯ 280K Β· β±οΈ 23.08.2023): +- [PyPi](https://pypi.org/project/cudf) (π₯ 2.4K / month Β· π¦ 10 Β· β±οΈ 01.06.2020): ``` - conda install -c conda-forge gpustat + pip install cudf ``` </details> <details><summary><b><a href="https://github.com/NVIDIA/apex">Apex</a></b> (π₯30 Β· β 7.8K) - A PyTorch Extension: Tools for easy mixed precision and distributed.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> @@ -7238,52 +7199,56 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c </details> <details><summary><b><a href="https://github.com/rapidsai/cuml">cuML</a></b> (π₯30 Β· β 3.8K) - cuML - RAPIDS Machine Learning Library. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> -- [GitHub](https://github.com/rapidsai/cuml) (π¨βπ» 170 Β· π 490 Β· π 2.4K - 35% open Β· β±οΈ 24.01.2024): +- [GitHub](https://github.com/rapidsai/cuml) (π¨βπ» 170 Β· π 490 Β· π 2.4K - 35% open Β· β±οΈ 31.01.2024): ``` git clone https://github.com/rapidsai/cuml ``` -- [PyPi](https://pypi.org/project/cuml) (π₯ 1.9K / month Β· π¦ 6 Β· β±οΈ 01.06.2020): +- [PyPi](https://pypi.org/project/cuml) (π₯ 2.1K / month Β· π¦ 6 Β· β±οΈ 01.06.2020): ``` pip install cuml ``` </details> -<details><summary><b><a href="https://github.com/inducer/pycuda">PyCUDA</a></b> (π₯30 Β· β 1.7K) - CUDA integration for Python, plus shiny features. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> +<details><summary><b><a href="https://github.com/wookayin/gpustat">gpustat</a></b> (π₯30 Β· β 3.7K) - A simple command-line utility for querying and monitoring GPU status. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> -- [GitHub](https://github.com/inducer/pycuda) (π¨βπ» 81 Β· π 280 Β· π¦ 2.6K Β· π 260 - 30% open Β· β±οΈ 15.01.2024): +- [GitHub](https://github.com/wookayin/gpustat) (π¨βπ» 17 Β· π 270 Β· π¦ 4.6K Β· π 120 - 21% open Β· β±οΈ 12.01.2024): ``` - git clone https://github.com/inducer/pycuda + git clone https://github.com/wookayin/gpustat ``` -- [PyPi](https://pypi.org/project/pycuda) (π₯ 31K / month Β· π¦ 220 Β· β±οΈ 03.01.2024): +- [PyPi](https://pypi.org/project/gpustat) (π₯ 1M / month Β· π¦ 130 Β· β±οΈ 22.08.2023): ``` - pip install pycuda + pip install gpustat ``` -- [Conda](https://anaconda.org/conda-forge/pycuda) (π₯ 280K Β· β±οΈ 06.01.2024): +- [Conda](https://anaconda.org/conda-forge/gpustat) (π₯ 280K Β· β±οΈ 23.08.2023): ``` - conda install -c conda-forge pycuda + conda install -c conda-forge gpustat ``` </details> -<details><summary><b><a href="https://github.com/arrayfire/arrayfire">ArrayFire</a></b> (π₯27 Β· β 4.3K) - ArrayFire: a general purpose GPU library. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary> +<details><summary><b><a href="https://github.com/inducer/pycuda">PyCUDA</a></b> (π₯30 Β· β 1.7K) - CUDA integration for Python, plus shiny features. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> -- [GitHub](https://github.com/arrayfire/arrayfire) (π¨βπ» 88 Β· π 510 Β· π₯ 5.2K Β· π 1.6K - 18% open Β· β±οΈ 05.10.2023): +- [GitHub](https://github.com/inducer/pycuda) (π¨βπ» 81 Β· π 280 Β· π¦ 2.6K Β· π 260 - 30% open Β· β±οΈ 15.01.2024): ``` - git clone https://github.com/arrayfire/arrayfire + git clone https://github.com/inducer/pycuda ``` -- [PyPi](https://pypi.org/project/arrayfire) (π₯ 770 / month Β· π¦ 7 Β· β±οΈ 22.02.2022): +- [PyPi](https://pypi.org/project/pycuda) (π₯ 35K / month Β· π¦ 220 Β· β±οΈ 03.01.2024): ``` - pip install arrayfire + pip install pycuda + ``` +- [Conda](https://anaconda.org/conda-forge/pycuda) (π₯ 280K Β· β±οΈ 06.01.2024): + ``` + conda install -c conda-forge pycuda ``` </details> <details><summary><b><a href="https://github.com/rapidsai/cugraph">cuGraph</a></b> (π₯27 Β· β 1.5K) - cuGraph - RAPIDS Graph Analytics Library. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> -- [GitHub](https://github.com/rapidsai/cugraph) (π¨βπ» 110 Β· π 260 Β· π¦ 2 Β· π 1.7K - 18% open Β· β±οΈ 25.01.2024): +- [GitHub](https://github.com/rapidsai/cugraph) (π¨βπ» 110 Β· π 260 Β· π¦ 2 Β· π 1.7K - 18% open Β· β±οΈ 29.01.2024): ``` git clone https://github.com/rapidsai/cugraph ``` -- [PyPi](https://pypi.org/project/cugraph) (π₯ 150 / month Β· π¦ 2 Β· β±οΈ 01.06.2020): +- [PyPi](https://pypi.org/project/cugraph) (π₯ 140 / month Β· π¦ 2 Β· β±οΈ 01.06.2020): ``` pip install cugraph ``` @@ -7292,29 +7257,21 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c conda install -c conda-forge libcugraph ``` </details> -<details><summary><b><a href="https://github.com/cupy/cupy">CuPy</a></b> (π₯26 Β· β 7.5K) - NumPy & SciPy for GPU. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> +<details><summary><b><a href="https://github.com/arrayfire/arrayfire">ArrayFire</a></b> (π₯26 Β· β 4.3K) - ArrayFire: a general purpose GPU library. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary> -- [GitHub](https://github.com/cupy/cupy) (π¨βπ» 300 Β· π 740): +- [GitHub](https://github.com/arrayfire/arrayfire) (π¨βπ» 88 Β· π 510 Β· π₯ 5.3K Β· π 1.6K - 18% open Β· β±οΈ 05.10.2023): ``` - git clone https://github.com/cupy/cupy - ``` -- [PyPi](https://pypi.org/project/cupy) (π₯ 19K / month Β· π¦ 210 Β· β±οΈ 07.12.2023): - ``` - pip install cupy - ``` -- [Conda](https://anaconda.org/conda-forge/cupy) (π₯ 3.3M Β· β±οΈ 24.01.2024): - ``` - conda install -c conda-forge cupy + git clone https://github.com/arrayfire/arrayfire ``` -- [Docker Hub](https://hub.docker.com/r/cupy/cupy) (π₯ 59K Β· β 11 Β· β±οΈ 18.01.2024): +- [PyPi](https://pypi.org/project/arrayfire) (π₯ 830 / month Β· π¦ 7 Β· β±οΈ 22.02.2022): ``` - docker pull cupy/cupy + pip install arrayfire ``` </details> <details><summary><b><a href="https://github.com/NVIDIA/DALI">DALI</a></b> (π₯25 Β· β 4.8K) - A GPU-accelerated library containing highly optimized building blocks.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> -- [GitHub](https://github.com/NVIDIA/DALI) (π¨βπ» 88 Β· π 600 Β· π 1.6K - 18% open Β· β±οΈ 23.01.2024): +- [GitHub](https://github.com/NVIDIA/DALI) (π¨βπ» 88 Β· π 600 Β· π 1.6K - 13% open Β· β±οΈ 31.01.2024): ``` git clone https://github.com/NVIDIA/DALI @@ -7327,7 +7284,7 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c ``` git clone https://github.com/KomputeProject/kompute ``` -- [PyPi](https://pypi.org/project/kp) (π₯ 170 / month Β· β±οΈ 20.01.2024): +- [PyPi](https://pypi.org/project/kp) (π₯ 190 / month Β· β±οΈ 20.01.2024): ``` pip install kp ``` @@ -7339,7 +7296,7 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c ``` git clone https://github.com/lebedov/scikit-cuda ``` -- [PyPi](https://pypi.org/project/scikit-cuda) (π₯ 650 / month Β· π¦ 50 Β· β±οΈ 27.05.2019): +- [PyPi](https://pypi.org/project/scikit-cuda) (π₯ 680 / month Β· π¦ 50 Β· β±οΈ 27.05.2019): ``` pip install scikit-cuda ``` @@ -7351,12 +7308,12 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c ``` git clone https://github.com/NVIDIA-Merlin/Merlin ``` -- [PyPi](https://pypi.org/project/merlin-core) (π₯ 3.6K / month Β· π¦ 1 Β· β±οΈ 29.08.2023): +- [PyPi](https://pypi.org/project/merlin-core) (π₯ 4.2K / month Β· π¦ 1 Β· β±οΈ 29.08.2023): ``` pip install merlin-core ``` </details> -<details><summary><b><a href="https://github.com/rapidsai/cusignal">cuSignal</a></b> (π₯17 Β· β 700) - GPU accelerated signal processing. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> +<details><summary><b><a href="https://github.com/rapidsai/cusignal">cuSignal</a></b> (π₯16 Β· β 700) - GPU accelerated signal processing. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> - [GitHub](https://github.com/rapidsai/cusignal) (π¨βπ» 46 Β· π 120 Β· π 160 - 16% open Β· β±οΈ 21.09.2023): @@ -7366,7 +7323,7 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c </details> <details><summary>Show 6 hidden projects...</summary> -- <b><a href="https://github.com/anderskm/gputil">GPUtil</a></b> (π₯24 Β· β 1K Β· π) - A Python module for getting the GPU status from NVIDA GPUs using nvidia-.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> +- <b><a href="https://github.com/anderskm/gputil">GPUtil</a></b> (π₯23 Β· β 1K Β· π) - A Python module for getting the GPU status from NVIDA GPUs using nvidia-.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> - <b><a href="https://github.com/fbcotter/py3nvml">py3nvml</a></b> (π₯22 Β· β 230 Β· π) - Python 3 Bindings for NVML library. Get NVIDIA GPU status inside.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> - <b><a href="https://github.com/BlazingDB/blazingsql">BlazingSQL</a></b> (π₯20 Β· β 1.9K Β· π) - BlazingSQL is a lightweight, GPU accelerated, SQL engine for.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> - <b><a href="https://github.com/stas00/ipyexperiments">ipyexperiments</a></b> (π₯18 Β· β 180) - Automatic GPU+CPU memory profiling, re-use and memory.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1E" style="display:inline;" width="13" height="13"></code> @@ -7383,12 +7340,12 @@ _Libraries that extend TensorFlow with additional capabilities._ <details><summary><b><a href="https://github.com/tensorflow/datasets">TensorFlow Datasets</a></b> (π₯38 Β· β 4.1K) - TFDS is a collection of datasets ready to use with.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/tensorflow/datasets) (π¨βπ» 300 Β· π 1.5K Β· π¦ 16K Β· π 1.4K - 47% open Β· β±οΈ 22.01.2024): +- [GitHub](https://github.com/tensorflow/datasets) (π¨βπ» 300 Β· π 1.5K Β· π¦ 16K Β· π 1.4K - 48% open Β· β±οΈ 31.01.2024): ``` git clone https://github.com/tensorflow/datasets ``` -- [PyPi](https://pypi.org/project/tensorflow-datasets) (π₯ 2.3M / month Β· π¦ 220 Β· β±οΈ 18.12.2023): +- [PyPi](https://pypi.org/project/tensorflow-datasets) (π₯ 2.6M / month Β· π¦ 220 Β· β±οΈ 18.12.2023): ``` pip install tensorflow-datasets ``` @@ -7404,23 +7361,23 @@ _Libraries that extend TensorFlow with additional capabilities._ ``` git clone https://github.com/tensorflow/addons ``` -- [PyPi](https://pypi.org/project/tensorflow-addons) (π₯ 740K / month Β· π¦ 220 Β· β±οΈ 28.11.2023): +- [PyPi](https://pypi.org/project/tensorflow-addons) (π₯ 810K / month Β· π¦ 220 Β· β±οΈ 28.11.2023): ``` pip install tensorflow-addons ``` </details> -<details><summary><b><a href="https://github.com/tensorflow/hub">tensorflow-hub</a></b> (π₯33 Β· β 3.4K) - A library for transfer learning by reusing parts of.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary> +<details><summary><b><a href="https://github.com/tensorflow/hub">tensorflow-hub</a></b> (π₯34 Β· β 3.4K) - A library for transfer learning by reusing parts of.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/tensorflow/hub) (π¨βπ» 110 Β· π 1.7K Β· π 690 - 0% open Β· β±οΈ 22.01.2024): +- [GitHub](https://github.com/tensorflow/hub) (π¨βπ» 110 Β· π 1.7K Β· π 690 - 0% open Β· β±οΈ 30.01.2024): ``` git clone https://github.com/tensorflow/hub ``` -- [PyPi](https://pypi.org/project/tensorflow-hub) (π₯ 2.8M / month Β· π¦ 340 Β· β±οΈ 22.01.2024): +- [PyPi](https://pypi.org/project/tensorflow-hub) (π₯ 3.2M / month Β· π¦ 340 Β· β±οΈ 30.01.2024): ``` pip install tensorflow-hub ``` -- [Conda](https://anaconda.org/conda-forge/tensorflow-hub) (π₯ 93K Β· β±οΈ 24.01.2024): +- [Conda](https://anaconda.org/conda-forge/tensorflow-hub) (π₯ 93K Β· β±οΈ 30.01.2024): ``` conda install -c conda-forge tensorflow-hub ``` @@ -7432,67 +7389,67 @@ _Libraries that extend TensorFlow with additional capabilities._ ``` git clone https://github.com/tensorflow/tensor2tensor ``` -- [PyPi](https://pypi.org/project/tensor2tensor) (π₯ 4.1K / month Β· π¦ 90 Β· β±οΈ 17.06.2020): +- [PyPi](https://pypi.org/project/tensor2tensor) (π₯ 4.3K / month Β· π¦ 90 Β· β±οΈ 17.06.2020): ``` pip install tensor2tensor ``` </details> <details><summary><b><a href="https://github.com/tensorflow/tfx">TFX</a></b> (π₯31 Β· β 2.1K) - TFX is an end-to-end platform for deploying production ML pipelines. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/tensorflow/tfx) (π¨βπ» 180 Β· π 700 Β· π 1K - 19% open Β· β±οΈ 25.01.2024): +- [GitHub](https://github.com/tensorflow/tfx) (π¨βπ» 180 Β· π 700 Β· π 1K - 19% open Β· β±οΈ 01.02.2024): ``` git clone https://github.com/tensorflow/tfx ``` -- [PyPi](https://pypi.org/project/tfx) (π₯ 51K / month Β· π¦ 14 Β· β±οΈ 06.09.2023): +- [PyPi](https://pypi.org/project/tfx) (π₯ 49K / month Β· π¦ 14 Β· β±οΈ 06.09.2023): ``` pip install tfx ``` </details> <details><summary><b><a href="https://github.com/tensorflow/model-optimization">TF Model Optimization</a></b> (π₯31 Β· β 1.4K) - A toolkit to optimize ML models for deployment for.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/tensorflow/model-optimization) (π¨βπ» 83 Β· π 320 Β· π¦ 3.4K Β· π 370 - 55% open Β· β±οΈ 05.01.2024): +- [GitHub](https://github.com/tensorflow/model-optimization) (π¨βπ» 83 Β· π 320 Β· π¦ 3.5K Β· π 370 - 55% open Β· β±οΈ 05.01.2024): ``` git clone https://github.com/tensorflow/model-optimization ``` -- [PyPi](https://pypi.org/project/tensorflow-model-optimization) (π₯ 580K / month Β· π¦ 30 Β· β±οΈ 26.05.2023): +- [PyPi](https://pypi.org/project/tensorflow-model-optimization) (π₯ 650K / month Β· π¦ 30 Β· β±οΈ 26.05.2023): ``` pip install tensorflow-model-optimization ``` </details> -<details><summary><b><a href="https://github.com/tensorflow/transform">TensorFlow Transform</a></b> (π₯31 Β· β 980) - Input pipeline framework. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary> +<details><summary><b><a href="https://github.com/tensorflow/transform">TensorFlow Transform</a></b> (π₯30 Β· β 980) - Input pipeline framework. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary> - [GitHub](https://github.com/tensorflow/transform) (π¨βπ» 28 Β· π 210 Β· π¦ 1.6K Β· π 220 - 20% open Β· β±οΈ 12.01.2024): ``` git clone https://github.com/tensorflow/transform ``` -- [PyPi](https://pypi.org/project/tensorflow-transform) (π₯ 620K / month Β· π¦ 56 Β· β±οΈ 11.08.2023): +- [PyPi](https://pypi.org/project/tensorflow-transform) (π₯ 680K / month Β· π¦ 56 Β· β±οΈ 11.08.2023): ``` pip install tensorflow-transform ``` </details> -<details><summary><b><a href="https://github.com/tensorflow/io">TensorFlow I/O</a></b> (π₯30 Β· β 680) - Dataset, streaming, and file system extensions.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary> +<details><summary><b><a href="https://github.com/tensorflow/io">TensorFlow I/O</a></b> (π₯30 Β· β 680) - Dataset, streaming, and file system extensions.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/tensorflow/io) (π¨βπ» 110 Β· π 280 Β· π 630 - 42% open Β· β±οΈ 23.01.2024): +- [GitHub](https://github.com/tensorflow/io) (π¨βπ» 110 Β· π 280 Β· π 630 - 42% open Β· β±οΈ 01.02.2024): ``` git clone https://github.com/tensorflow/io ``` -- [PyPi](https://pypi.org/project/tensorflow-io) (π₯ 2.2M / month Β· π¦ 36 Β· β±οΈ 19.12.2023): +- [PyPi](https://pypi.org/project/tensorflow-io) (π₯ 2.5M / month Β· π¦ 36 Β· β±οΈ 19.12.2023): ``` pip install tensorflow-io ``` </details> -<details><summary><b><a href="https://github.com/tensorflow/neural-structured-learning">Neural Structured Learning</a></b> (π₯25 Β· β 970) - Training neural models with structured signals. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary> +<details><summary><b><a href="https://github.com/tensorflow/neural-structured-learning">Neural Structured Learning</a></b> (π₯25 Β· β 980) - Training neural models with structured signals. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/tensorflow/neural-structured-learning) (π¨βπ» 38 Β· π 190 Β· π¦ 410 Β· π 69 - 1% open Β· β±οΈ 20.09.2023): +- [GitHub](https://github.com/tensorflow/neural-structured-learning) (π¨βπ» 38 Β· π 190 Β· π¦ 420 Β· π 69 - 1% open Β· β±οΈ 20.09.2023): ``` git clone https://github.com/tensorflow/neural-structured-learning ``` -- [PyPi](https://pypi.org/project/neural-structured-learning) (π₯ 14K / month Β· π¦ 3 Β· β±οΈ 29.07.2022): +- [PyPi](https://pypi.org/project/neural-structured-learning) (π₯ 15K / month Β· π¦ 3 Β· β±οΈ 29.07.2022): ``` pip install neural-structured-learning ``` @@ -7516,7 +7473,7 @@ _Libraries that extend TensorFlow with additional capabilities._ ``` git clone https://github.com/tensorflow/compression ``` -- [PyPi](https://pypi.org/project/tensorflow-compression) (π₯ 9.4K / month Β· π¦ 2 Β· β±οΈ 12.10.2023): +- [PyPi](https://pypi.org/project/tensorflow-compression) (π₯ 9.6K / month Β· π¦ 2 Β· β±οΈ 12.10.2023): ``` pip install tensorflow-compression ``` @@ -7537,30 +7494,30 @@ _Libraries that extend TensorFlow with additional capabilities._ _Libraries that extend Jax with additional capabilities._ -<details><summary><b><a href="https://github.com/patrick-kidger/equinox">equinox</a></b> (π₯31 Β· β 1.6K) - Elegant easy-to-use neural networks + scientific computing in.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://jax.readthedocs.io/en/latest/_static/favicon.png" style="display:inline;" width="13" height="13"></code></summary> +<details><summary><b><a href="https://github.com/patrick-kidger/equinox">equinox</a></b> (π₯31 Β· β 1.7K) - Elegant easy-to-use neural networks + scientific computing in.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://jax.readthedocs.io/en/latest/_static/favicon.png" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/patrick-kidger/equinox) (π¨βπ» 45 Β· π 110 Β· π¦ 380 Β· π 300 - 30% open Β· β±οΈ 11.01.2024): +- [GitHub](https://github.com/patrick-kidger/equinox) (π¨βπ» 45 Β· π 110 Β· π¦ 400 Β· π 310 - 29% open Β· β±οΈ 11.01.2024): ``` git clone https://github.com/patrick-kidger/equinox ``` -- [PyPi](https://pypi.org/project/equinox) (π₯ 63K / month Β· π¦ 54 Β· β±οΈ 10.01.2024): +- [PyPi](https://pypi.org/project/equinox) (π₯ 90K / month Β· π¦ 55 Β· β±οΈ 10.01.2024): ``` pip install equinox ``` </details> -<details><summary><b><a href="https://github.com/google/evojax">evojax</a></b> (π₯20 Β· β 740) - EvoJAX: Hardware-accelerated Neuroevolution. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://jax.readthedocs.io/en/latest/_static/favicon.png" style="display:inline;" width="13" height="13"></code></summary> +<details><summary><b><a href="https://github.com/google/evojax">evojax</a></b> (π₯19 Β· β 740) - EvoJAX: Hardware-accelerated Neuroevolution. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://jax.readthedocs.io/en/latest/_static/favicon.png" style="display:inline;" width="13" height="13"></code></summary> - [GitHub](https://github.com/google/evojax) (π¨βπ» 14 Β· π 62 Β· π¦ 18 Β· π 27 - 37% open Β· β±οΈ 29.08.2023): ``` git clone https://github.com/google/evojax ``` -- [PyPi](https://pypi.org/project/evojax) (π₯ 540 / month Β· π¦ 2 Β· β±οΈ 29.08.2023): +- [PyPi](https://pypi.org/project/evojax) (π₯ 800 / month Β· π¦ 2 Β· β±οΈ 29.08.2023): ``` pip install evojax ``` -- [Conda](https://anaconda.org/conda-forge/evojax) (π₯ 22K Β· β±οΈ 29.08.2023): +- [Conda](https://anaconda.org/conda-forge/evojax) (π₯ 23K Β· β±οΈ 29.08.2023): ``` conda install -c conda-forge evojax ``` @@ -7577,14 +7534,14 @@ _Libraries that extend Jax with additional capabilities._ _Libraries that extend scikit-learn with additional capabilities._ -<details><summary><b><a href="https://github.com/scikit-learn-contrib/imbalanced-learn">imbalanced-learn</a></b> (π₯36 Β· β 6.6K Β· π) - A Python Package to Tackle the Curse of Imbalanced.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code></summary> +<details><summary><b><a href="https://github.com/scikit-learn-contrib/imbalanced-learn">imbalanced-learn</a></b> (π₯36 Β· β 6.6K) - A Python Package to Tackle the Curse of Imbalanced.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code></summary> - [GitHub](https://github.com/scikit-learn-contrib/imbalanced-learn) (π¨βπ» 81 Β· π 1.3K Β· π¦ 24K Β· π 580 - 6% open Β· β±οΈ 24.01.2024): ``` git clone https://github.com/scikit-learn-contrib/imbalanced-learn ``` -- [PyPi](https://pypi.org/project/imbalanced-learn) (π₯ 8.8M / month Β· π¦ 360 Β· β±οΈ 24.01.2024): +- [PyPi](https://pypi.org/project/imbalanced-learn) (π₯ 9.1M / month Β· π¦ 360 Β· β±οΈ 24.01.2024): ``` pip install imbalanced-learn ``` @@ -7595,36 +7552,20 @@ _Libraries that extend scikit-learn with additional capabilities._ </details> <details><summary><b><a href="https://github.com/intel/scikit-learn-intelex">scikit-learn-intelex</a></b> (π₯35 Β· β 1.1K) - Intel(R) Extension for Scikit-learn is a seamless way.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/intel/scikit-learn-intelex) (π¨βπ» 77 Β· π 170 Β· π¦ 9.4K Β· π 240 - 29% open Β· β±οΈ 25.01.2024): +- [GitHub](https://github.com/intel/scikit-learn-intelex) (π¨βπ» 77 Β· π 160 Β· π¦ 9.5K Β· π 210 - 19% open Β· β±οΈ 01.02.2024): ``` git clone https://github.com/intel/scikit-learn-intelex ``` -- [PyPi](https://pypi.org/project/scikit-learn-intelex) (π₯ 150K / month Β· π¦ 24 Β· β±οΈ 23.01.2024): +- [PyPi](https://pypi.org/project/scikit-learn-intelex) (π₯ 170K / month): ``` pip install scikit-learn-intelex ``` -- [Conda](https://anaconda.org/conda-forge/scikit-learn-intelex) (π₯ 230K Β· β±οΈ 25.01.2024): +- [Conda](https://anaconda.org/conda-forge/scikit-learn-intelex) (π₯ 240K Β· β±οΈ 25.01.2024): ``` conda install -c conda-forge scikit-learn-intelex ``` </details> -<details><summary><b><a href="https://github.com/rasbt/mlxtend">MLxtend</a></b> (π₯34 Β· β 4.7K) - A library of extension and helper modules for Pythons data.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code></summary> - -- [GitHub](https://github.com/rasbt/mlxtend) (π¨βπ» 100 Β· π 840 Β· π¦ 12K Β· π 480 - 29% open Β· β±οΈ 05.01.2024): - - ``` - git clone https://github.com/rasbt/mlxtend - ``` -- [PyPi](https://pypi.org/project/mlxtend) (π₯ 630K / month Β· π¦ 190 Β· β±οΈ 05.01.2024): - ``` - pip install mlxtend - ``` -- [Conda](https://anaconda.org/conda-forge/mlxtend) (π₯ 300K Β· β±οΈ 05.01.2024): - ``` - conda install -c conda-forge mlxtend - ``` -</details> <details><summary><b><a href="https://github.com/scikit-learn-contrib/category_encoders">category_encoders</a></b> (π₯33 Β· β 2.3K) - A library of sklearn compatible categorical variable.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code></summary> - [GitHub](https://github.com/scikit-learn-contrib/category_encoders) (π¨βπ» 70 Β· π 400 Β· π¦ 1.4K Β· π 280 - 15% open Β· β±οΈ 13.12.2023): @@ -7643,12 +7584,12 @@ _Libraries that extend scikit-learn with additional capabilities._ </details> <details><summary><b><a href="https://github.com/koaning/scikit-lego">scikit-lego</a></b> (π₯28 Β· β 1.1K) - Extra blocks for scikit-learn pipelines. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/koaning/scikit-lego) (π¨βπ» 62 Β· π 110 Β· π¦ 130 Β· π 290 - 10% open Β· β±οΈ 19.01.2024): +- [GitHub](https://github.com/koaning/scikit-lego) (π¨βπ» 62 Β· π 110 Β· π¦ 130 Β· π 290 - 10% open Β· β±οΈ 29.01.2024): ``` git clone https://github.com/koaning/scikit-lego ``` -- [PyPi](https://pypi.org/project/scikit-lego) (π₯ 29K / month Β· π¦ 8 Β· β±οΈ 12.12.2023): +- [PyPi](https://pypi.org/project/scikit-lego) (π₯ 29K / month Β· π¦ 8 Β· β±οΈ 29.01.2024): ``` pip install scikit-lego ``` @@ -7657,64 +7598,54 @@ _Libraries that extend scikit-learn with additional capabilities._ conda install -c conda-forge scikit-lego ``` </details> -<details><summary><b><a href="https://github.com/scikit-multilearn/scikit-multilearn">scikit-multilearn</a></b> (π₯26 Β· β 890 Β· π€) - A scikit-learn based module for multi-label et. al... <code><a href="http://bit.ly/3rqEWVr">BSD-2</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code></summary> +<details><summary><b><a href="https://github.com/scikit-multilearn/scikit-multilearn">scikit-multilearn</a></b> (π₯27 Β· β 890 Β· π€) - A scikit-learn based module for multi-label et. al... <code><a href="http://bit.ly/3rqEWVr">BSD-2</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/scikit-multilearn/scikit-multilearn) (π¨βπ» 28 Β· π 170 Β· π¦ 1.4K Β· π 200 - 38% open Β· β±οΈ 19.04.2023): +- [GitHub](https://github.com/scikit-multilearn/scikit-multilearn) (π¨βπ» 28 Β· π 170 Β· π¦ 1.4K Β· π 210 - 41% open Β· β±οΈ 19.04.2023): ``` git clone https://github.com/scikit-multilearn/scikit-multilearn ``` -- [PyPi](https://pypi.org/project/scikit-multilearn) (π₯ 48K / month): +- [PyPi](https://pypi.org/project/scikit-multilearn) (π₯ 53K / month Β· π¦ 24 Β· β±οΈ 10.12.2018): ``` pip install scikit-multilearn ``` </details> <details><summary><b><a href="https://github.com/guofei9987/scikit-opt">scikit-opt</a></b> (π₯24 Β· β 4.7K) - Genetic Algorithm, Particle Swarm Optimization, Simulated.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/guofei9987/scikit-opt) (π¨βπ» 20 Β· π 930 Β· π¦ 170 Β· π 170 - 35% open Β· β±οΈ 19.11.2023): +- [GitHub](https://github.com/guofei9987/scikit-opt) (π¨βπ» 20 Β· π 940 Β· π¦ 170 Β· π 170 - 35% open Β· β±οΈ 19.11.2023): ``` git clone https://github.com/guofei9987/scikit-opt ``` -- [PyPi](https://pypi.org/project/scikit-opt) (π₯ 2.2K / month Β· π¦ 8 Β· β±οΈ 14.01.2022): +- [PyPi](https://pypi.org/project/scikit-opt) (π₯ 2.6K / month): ``` pip install scikit-opt ``` </details> -<details><summary><b><a href="https://github.com/yzhao062/combo">combo</a></b> (π₯21 Β· β 630 Β· π€) - (AAAI 20) A Python Toolbox for Machine Learning Model.. <code><a href="http://bit.ly/3rqEWVr">BSD-2</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code> <code>xgboost</code></summary> - -- [GitHub](https://github.com/yzhao062/combo) (π¨βπ» 2 Β· π 100 Β· π¦ 600 Β· π 16 - 81% open Β· β±οΈ 14.01.2023): - - ``` - git clone https://github.com/yzhao062/combo - ``` -- [PyPi](https://pypi.org/project/combo) (π₯ 15K / month Β· π¦ 8 Β· β±οΈ 02.04.2022): - ``` - pip install combo - ``` -</details> -<details><summary><b><a href="https://github.com/scikit-learn-contrib/DESlib">DESlib</a></b> (π₯14 Β· β 460 Β· π€) - A Python library for dynamic classifier and ensemble selection. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code></summary> +<details><summary><b><a href="https://github.com/scikit-learn-contrib/DESlib">DESlib</a></b> (π₯15 Β· β 460 Β· π€) - A Python library for dynamic classifier and ensemble selection. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code></summary> - [GitHub](https://github.com/scikit-learn-contrib/DESlib) (π¨βπ» 16 Β· π 78 Β· π 150 - 11% open Β· β±οΈ 18.06.2023): ``` git clone https://github.com/scikit-learn-contrib/DESlib ``` -- [PyPi](https://pypi.org/project/deslib) (π₯ 1K / month): +- [PyPi](https://pypi.org/project/deslib) (π₯ 1.1K / month): ``` pip install deslib ``` </details> -<details><summary>Show 10 hidden projects...</summary> +<details><summary>Show 12 hidden projects...</summary> +- <b><a href="https://github.com/rasbt/mlxtend">MLxtend</a></b> (π₯32 Β· β 4.7K Β· π) - A library of extension and helper modules for Pythons.. <code>βUnlicensed</code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code> - <b><a href="https://github.com/sebp/scikit-survival">scikit-survival</a></b> (π₯27 Β· β 1K) - Survival analysis built on top of scikit-learn. <code><a href="http://bit.ly/2M0xdwT">βοΈGPL-3.0</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code> - <b><a href="https://github.com/iskandr/fancyimpute">fancyimpute</a></b> (π₯26 Β· β 1.2K Β· π) - Multivariate imputation and matrix completion.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code> -- <b><a href="https://github.com/TeamHG-Memex/sklearn-crfsuite">sklearn-crfsuite</a></b> (π₯26 Β· β 420 Β· π) - scikit-learn inspired API for CRFsuite. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code> +- <b><a href="https://github.com/scikit-learn-contrib/lightning">sklearn-contrib-lightning</a></b> (π₯22 Β· β 1.7K Β· π) - Large-scale linear classification, regression and.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code> - <b><a href="https://github.com/trent-b/iterative-stratification">iterative-stratification</a></b> (π₯22 Β· β 810 Β· π) - scikit-learn cross validators for iterative.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code> -- <b><a href="https://github.com/scikit-learn-contrib/skope-rules">skope-rules</a></b> (π₯21 Β· β 570 Β· π€) - machine learning with logical rules in Python. <code><a href="https://tldrlegal.com/search?q=BSD-1-Clause">βοΈBSD-1-Clause</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code> -- <b><a href="https://github.com/scikit-learn-contrib/lightning">sklearn-contrib-lightning</a></b> (π₯20 Β· β 1.7K Β· π) - Large-scale linear classification, regression and.. <code>βUnlicensed</code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code> +- <b><a href="https://github.com/scikit-learn-contrib/skope-rules">skope-rules</a></b> (π₯22 Β· β 570 Β· π€) - machine learning with logical rules in Python. <code><a href="https://tldrlegal.com/search?q=BSD-1-Clause">βοΈBSD-1-Clause</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code> +- <b><a href="https://github.com/TeamHG-Memex/sklearn-crfsuite">sklearn-crfsuite</a></b> (π₯22 Β· β 420 Β· π) - scikit-learn inspired API for CRFsuite. <code>βUnlicensed</code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code> +- <b><a href="https://github.com/yzhao062/combo">combo</a></b> (π₯19 Β· β 630 Β· π) - (AAAI 20) A Python Toolbox for Machine Learning Model.. <code><a href="http://bit.ly/3rqEWVr">BSD-2</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code> <code>xgboost</code> - <b><a href="https://github.com/scikit-tda/scikit-tda">scikit-tda</a></b> (π₯18 Β· β 470 Β· π) - Topological Data Analysis for Python. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code> -- <b><a href="https://github.com/mathurinm/celer">celer</a></b> (π₯18 Β· β 190) - Fast solver for L1-type problems: Lasso, sparse Logisitic regression,.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code> +- <b><a href="https://github.com/mathurinm/celer">celer</a></b> (π₯18 Β· β 190 Β· π€) - Fast solver for L1-type problems: Lasso, sparse Logisitic.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code> - <b><a href="https://github.com/skggm/skggm">skggm</a></b> (π₯17 Β· β 230 Β· π€) - Scikit-learn compatible estimation of general graphical models. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code> - <b><a href="https://github.com/amueller/dabl">dabl</a></b> (π₯16 Β· β 130) - Data Analysis Baseline Library. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code> </details> @@ -7728,28 +7659,28 @@ _Libraries that extend Pytorch with additional capabilities._ <details><summary><b><a href="https://github.com/huggingface/accelerate">accelerate</a></b> (π₯39 Β· β 6.4K) - A simple way to train and use PyTorch models with multi-.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/huggingface/accelerate) (π¨βπ» 210 Β· π 710 Β· π¦ 24K Β· π 1.2K - 8% open Β· β±οΈ 25.01.2024): +- [GitHub](https://github.com/huggingface/accelerate) (π¨βπ» 220 Β· π 700 Β· π¦ 25K Β· π 1.2K - 9% open Β· β±οΈ 01.02.2024): ``` git clone https://github.com/huggingface/accelerate ``` -- [PyPi](https://pypi.org/project/accelerate) (π₯ 7.6M / month Β· π¦ 530 Β· β±οΈ 11.01.2024): +- [PyPi](https://pypi.org/project/accelerate) (π₯ 9.1M / month): ``` pip install accelerate ``` -- [Conda](https://anaconda.org/conda-forge/accelerate) (π₯ 98K Β· β±οΈ 11.01.2024): +- [Conda](https://anaconda.org/conda-forge/accelerate) (π₯ 100K Β· β±οΈ 11.01.2024): ``` conda install -c conda-forge accelerate ``` </details> <details><summary><b><a href="https://github.com/KevinMusgrave/pytorch-metric-learning">PML</a></b> (π₯33 Β· β 5.6K) - The easiest way to use deep metric learning in your application. Modular,.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/KevinMusgrave/pytorch-metric-learning) (π¨βπ» 40 Β· π 640 Β· π¦ 1.2K Β· π 490 - 11% open Β· β±οΈ 16.12.2023): +- [GitHub](https://github.com/KevinMusgrave/pytorch-metric-learning) (π¨βπ» 40 Β· π 650 Β· π¦ 1.2K Β· π 480 - 10% open Β· β±οΈ 16.12.2023): ``` git clone https://github.com/KevinMusgrave/pytorch-metric-learning ``` -- [PyPi](https://pypi.org/project/pytorch-metric-learning) (π₯ 240K / month Β· π¦ 30 Β· β±οΈ 16.12.2023): +- [PyPi](https://pypi.org/project/pytorch-metric-learning) (π₯ 250K / month Β· π¦ 31 Β· β±οΈ 16.12.2023): ``` pip install pytorch-metric-learning ``` @@ -7760,20 +7691,20 @@ _Libraries that extend Pytorch with additional capabilities._ </details> <details><summary><b><a href="https://github.com/tinygrad/tinygrad">tinygrad</a></b> (π₯31 Β· β 22K) - You like pytorch? You like micrograd? You love tinygrad!. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/tinygrad/tinygrad) (π¨βπ» 270 Β· π 2.4K Β· π¦ 39 Β· π 470 - 15% open Β· β±οΈ 25.01.2024): +- [GitHub](https://github.com/tinygrad/tinygrad) (π¨βπ» 270 Β· π 2.4K Β· π¦ 41 Β· π 470 - 15% open Β· β±οΈ 01.02.2024): ``` git clone https://github.com/geohot/tinygrad ``` </details> -<details><summary><b><a href="https://github.com/rtqichen/torchdiffeq">torchdiffeq</a></b> (π₯29 Β· β 5K) - Differentiable ODE solvers with full GPU support and O(1)-memory.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> +<details><summary><b><a href="https://github.com/rtqichen/torchdiffeq">torchdiffeq</a></b> (π₯29 Β· β 5.1K) - Differentiable ODE solvers with full GPU support and.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/rtqichen/torchdiffeq) (π¨βπ» 21 Β· π 850 Β· π¦ 2.8K Β· π 210 - 30% open Β· β±οΈ 19.10.2023): +- [GitHub](https://github.com/rtqichen/torchdiffeq) (π¨βπ» 21 Β· π 850 Β· π¦ 2.9K Β· π 210 - 30% open Β· β±οΈ 19.10.2023): ``` git clone https://github.com/rtqichen/torchdiffeq ``` -- [PyPi](https://pypi.org/project/torchdiffeq) (π₯ 760K / month Β· π¦ 46 Β· β±οΈ 22.04.2022): +- [PyPi](https://pypi.org/project/torchdiffeq) (π₯ 770K / month Β· π¦ 46 Β· β±οΈ 22.04.2022): ``` pip install torchdiffeq ``` @@ -7782,36 +7713,36 @@ _Libraries that extend Pytorch with additional capabilities._ conda install -c conda-forge torchdiffeq ``` </details> -<details><summary><b><a href="https://github.com/jettify/pytorch-optimizer">pytorch-optimizer</a></b> (π₯29 Β· β 2.9K Β· π€) - torch-optimizer -- collection of optimizers for.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> +<details><summary><b><a href="https://github.com/google-research/torchsde">torchsde</a></b> (π₯29 Β· β 1.4K) - Differentiable SDE solvers with GPU support and efficient.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/jettify/pytorch-optimizer) (π¨βπ» 26 Β· π 280 Β· π¦ 1.1K Β· π 62 - 51% open Β· β±οΈ 20.06.2023): +- [GitHub](https://github.com/google-research/torchsde) (π¨βπ» 8 Β· π 170 Β· π¦ 2.3K Β· π 71 - 26% open Β· β±οΈ 26.09.2023): ``` - git clone https://github.com/jettify/pytorch-optimizer + git clone https://github.com/google-research/torchsde ``` -- [PyPi](https://pypi.org/project/torch_optimizer) (π₯ 140K / month Β· π¦ 46 Β· β±οΈ 31.10.2021): +- [PyPi](https://pypi.org/project/torchsde) (π₯ 1.6M / month Β· π¦ 15 Β· β±οΈ 26.09.2023): ``` - pip install torch_optimizer + pip install torchsde ``` -- [Conda](https://anaconda.org/conda-forge/torch-optimizer) (π₯ 9.5K Β· β±οΈ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/torchsde) (π₯ 19K Β· β±οΈ 16.06.2023): ``` - conda install -c conda-forge torch-optimizer + conda install -c conda-forge torchsde ``` </details> -<details><summary><b><a href="https://github.com/google-research/torchsde">torchsde</a></b> (π₯29 Β· β 1.4K) - Differentiable SDE solvers with GPU support and efficient.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> +<details><summary><b><a href="https://github.com/jettify/pytorch-optimizer">pytorch-optimizer</a></b> (π₯28 Β· β 2.9K Β· π€) - torch-optimizer -- collection of optimizers for.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/google-research/torchsde) (π¨βπ» 8 Β· π 170 Β· π¦ 2.2K Β· π 71 - 26% open Β· β±οΈ 26.09.2023): +- [GitHub](https://github.com/jettify/pytorch-optimizer) (π¨βπ» 26 Β· π 280 Β· π¦ 1.1K Β· π 62 - 51% open Β· β±οΈ 20.06.2023): ``` - git clone https://github.com/google-research/torchsde + git clone https://github.com/jettify/pytorch-optimizer ``` -- [PyPi](https://pypi.org/project/torchsde) (π₯ 1.5M / month Β· π¦ 15 Β· β±οΈ 26.09.2023): +- [PyPi](https://pypi.org/project/torch_optimizer) (π₯ 150K / month): ``` - pip install torchsde + pip install torch_optimizer ``` -- [Conda](https://anaconda.org/conda-forge/torchsde) (π₯ 19K Β· β±οΈ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/torch-optimizer) (π₯ 9.5K Β· β±οΈ 16.06.2023): ``` - conda install -c conda-forge torchsde + conda install -c conda-forge torch-optimizer ``` </details> <details><summary><b><a href="https://github.com/Lightning-Universe/lightning-flash">lightning-flash</a></b> (π₯27 Β· β 1.7K) - Your PyTorch AI Factory - Flash enables you to easily.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> @@ -7821,7 +7752,7 @@ _Libraries that extend Pytorch with additional capabilities._ ``` git clone https://github.com/Lightning-AI/lightning-flash ``` -- [PyPi](https://pypi.org/project/lightning-flash) (π₯ 1.5K / month Β· π¦ 3 Β· β±οΈ 11.05.2022): +- [PyPi](https://pypi.org/project/lightning-flash) (π₯ 1.6K / month): ``` pip install lightning-flash ``` @@ -7830,14 +7761,14 @@ _Libraries that extend Pytorch with additional capabilities._ conda install -c conda-forge lightning-flash ``` </details> -<details><summary><b><a href="https://github.com/dreamquark-ai/tabnet">TabNet</a></b> (π₯26 Β· β 2.4K) - PyTorch implementation of TabNet paper :.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> +<details><summary><b><a href="https://github.com/dreamquark-ai/tabnet">TabNet</a></b> (π₯26 Β· β 2.4K Β· π€) - PyTorch implementation of TabNet paper :.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> - [GitHub](https://github.com/dreamquark-ai/tabnet) (π¨βπ» 21 Β· π 450 Β· π 330 - 15% open Β· β±οΈ 23.07.2023): ``` git clone https://github.com/dreamquark-ai/tabnet ``` -- [PyPi](https://pypi.org/project/pytorch-tabnet) (π₯ 32K / month Β· π¦ 11 Β· β±οΈ 23.07.2023): +- [PyPi](https://pypi.org/project/pytorch-tabnet) (π₯ 36K / month Β· π¦ 11 Β· β±οΈ 23.07.2023): ``` pip install pytorch-tabnet ``` @@ -7848,12 +7779,12 @@ _Libraries that extend Pytorch with additional capabilities._ </details> <details><summary><b><a href="https://github.com/rusty1s/pytorch_scatter">torch-scatter</a></b> (π₯26 Β· β 1.4K) - PyTorch Extension Library of Optimized Scatter Operations. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/rusty1s/pytorch_scatter) (π¨βπ» 29 Β· π 170 Β· π 350 - 6% open Β· β±οΈ 23.01.2024): +- [GitHub](https://github.com/rusty1s/pytorch_scatter) (π¨βπ» 29 Β· π 170 Β· π 350 - 8% open Β· β±οΈ 23.01.2024): ``` git clone https://github.com/rusty1s/pytorch_scatter ``` -- [PyPi](https://pypi.org/project/torch-scatter) (π₯ 33K / month Β· π¦ 84 Β· β±οΈ 06.10.2023): +- [PyPi](https://pypi.org/project/torch-scatter) (π₯ 35K / month Β· π¦ 84 Β· β±οΈ 06.10.2023): ``` pip install torch-scatter ``` @@ -7862,18 +7793,6 @@ _Libraries that extend Pytorch with additional capabilities._ conda install -c conda-forge pytorch_scatter ``` </details> -<details><summary><b><a href="https://github.com/BloodAxe/pytorch-toolbelt">Pytorch Toolbelt</a></b> (π₯24 Β· β 1.5K) - PyTorch extensions for fast R&D prototyping and Kaggle.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> - -- [GitHub](https://github.com/BloodAxe/pytorch-toolbelt) (π¨βπ» 7 Β· π 120 Β· π₯ 7 Β· π 31 - 6% open Β· β±οΈ 23.01.2024): - - ``` - git clone https://github.com/BloodAxe/pytorch-toolbelt - ``` -- [PyPi](https://pypi.org/project/pytorch_toolbelt) (π₯ 6.6K / month Β· π¦ 7 Β· β±οΈ 27.06.2022): - ``` - pip install pytorch_toolbelt - ``` -</details> <details><summary><b><a href="https://github.com/rusty1s/pytorch_sparse">PyTorch Sparse</a></b> (π₯24 Β· β 920) - PyTorch Extension Library of Optimized Autograd Sparse.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> - [GitHub](https://github.com/rusty1s/pytorch_sparse) (π¨βπ» 45 Β· π 140 Β· π 260 - 10% open Β· β±οΈ 23.01.2024): @@ -7881,7 +7800,7 @@ _Libraries that extend Pytorch with additional capabilities._ ``` git clone https://github.com/rusty1s/pytorch_sparse ``` -- [PyPi](https://pypi.org/project/torch-sparse) (π₯ 20K / month Β· π¦ 75 Β· β±οΈ 06.10.2023): +- [PyPi](https://pypi.org/project/torch-sparse) (π₯ 21K / month Β· π¦ 75 Β· β±οΈ 06.10.2023): ``` pip install torch-sparse ``` @@ -7890,6 +7809,18 @@ _Libraries that extend Pytorch with additional capabilities._ conda install -c conda-forge pytorch_sparse ``` </details> +<details><summary><b><a href="https://github.com/BloodAxe/pytorch-toolbelt">Pytorch Toolbelt</a></b> (π₯23 Β· β 1.5K) - PyTorch extensions for fast R&D prototyping and Kaggle.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> + +- [GitHub](https://github.com/BloodAxe/pytorch-toolbelt) (π¨βπ» 7 Β· π 120 Β· π₯ 13 Β· π 31 - 6% open Β· β±οΈ 30.01.2024): + + ``` + git clone https://github.com/BloodAxe/pytorch-toolbelt + ``` +- [PyPi](https://pypi.org/project/pytorch_toolbelt) (π₯ 6.1K / month Β· π¦ 7 Β· β±οΈ 27.06.2022): + ``` + pip install pytorch_toolbelt + ``` +</details> <details><summary><b><a href="https://github.com/lucidrains/reformer-pytorch">reformer-pytorch</a></b> (π₯20 Β· β 2K Β· π€) - Reformer, the efficient Transformer, in Pytorch. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> - [GitHub](https://github.com/lucidrains/reformer-pytorch) (π¨βπ» 11 Β· π 250 Β· π 120 - 12% open Β· β±οΈ 21.06.2023): @@ -7897,19 +7828,19 @@ _Libraries that extend Pytorch with additional capabilities._ ``` git clone https://github.com/lucidrains/reformer-pytorch ``` -- [PyPi](https://pypi.org/project/reformer-pytorch) (π₯ 3.3K / month Β· β±οΈ 06.11.2021): +- [PyPi](https://pypi.org/project/reformer-pytorch) (π₯ 3.7K / month Β· β±οΈ 06.11.2021): ``` pip install reformer-pytorch ``` </details> -<details><summary><b><a href="https://github.com/facebookresearch/madgrad">madgrad</a></b> (π₯16 Β· β 790 Β· π€) - MADGRAD Optimization Method. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> +<details><summary><b><a href="https://github.com/facebookresearch/madgrad">madgrad</a></b> (π₯15 Β· β 790 Β· π€) - MADGRAD Optimization Method. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/facebookresearch/madgrad) (π¨βπ» 2 Β· π 56 Β· π¦ 68 Β· π 11 - 9% open Β· β±οΈ 11.04.2023): +- [GitHub](https://github.com/facebookresearch/madgrad) (π¨βπ» 2 Β· π 56 Β· π¦ 71 Β· β±οΈ 11.04.2023): ``` git clone https://github.com/facebookresearch/madgrad ``` -- [PyPi](https://pypi.org/project/madgrad) (π₯ 2.9K / month Β· π¦ 1 Β· β±οΈ 08.03.2022): +- [PyPi](https://pypi.org/project/madgrad) (π₯ 3.2K / month): ``` pip install madgrad ``` @@ -7917,22 +7848,22 @@ _Libraries that extend Pytorch with additional capabilities._ <details><summary>Show 19 hidden projects...</summary> - <b><a href="https://github.com/Cadene/pretrained-models.pytorch">pretrainedmodels</a></b> (π₯29 Β· β 8.9K Β· π) - Pretrained ConvNets for pytorch: NASNet, ResNeXt,.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code> +- <b><a href="https://github.com/sksq96/pytorch-summary">pytorch-summary</a></b> (π₯28 Β· β 3.9K Β· π) - Model summary in PyTorch similar to `model.summary()`.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code> - <b><a href="https://github.com/lukemelas/EfficientNet-PyTorch">EfficientNet-PyTorch</a></b> (π₯27 Β· β 7.7K Β· π) - A PyTorch implementation of EfficientNet and.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code> -- <b><a href="https://github.com/sksq96/pytorch-summary">pytorch-summary</a></b> (π₯27 Β· β 3.9K Β· π) - Model summary in PyTorch similar to `model.summary()`.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code> - <b><a href="https://github.com/asappresearch/sru">SRU</a></b> (π₯23 Β· β 2.1K Β· π) - Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755). <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code> - <b><a href="https://github.com/tristandeleu/pytorch-meta">Torchmeta</a></b> (π₯23 Β· β 1.9K Β· π) - A collection of extensions and data-loaders for few-shot.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code> - <b><a href="https://github.com/facebookresearch/higher">Higher</a></b> (π₯23 Β· β 1.6K Β· π) - higher is a pytorch library allowing users to obtain higher.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code> - <b><a href="https://github.com/rwightman/gen-efficientnet-pytorch">EfficientNets</a></b> (π₯23 Β· β 1.6K Β· π) - Pretrained EfficientNet, EfficientNet-Lite, MixNet,.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code> +- <b><a href="https://github.com/Luolc/AdaBound">AdaBound</a></b> (π₯21 Β· β 2.9K Β· π) - An optimizer that trains as fast as Adam and as good as SGD. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code> - <b><a href="https://github.com/adobe/antialiased-cnns">Antialiased CNNs</a></b> (π₯21 Β· β 1.6K Β· π) - pip install antialiased-cnns to improve stability and.. <code><a href="https://tldrlegal.com/search?q=CC%20BY-NC-SA%204.0">βοΈCC BY-NC-SA 4.0</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code> -- <b><a href="https://github.com/Luolc/AdaBound">AdaBound</a></b> (π₯20 Β· β 2.9K Β· π) - An optimizer that trains as fast as Adam and as good as SGD. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code> +- <b><a href="https://github.com/szagoruyko/pytorchviz">pytorchviz</a></b> (π₯20 Β· β 2.9K Β· π) - A small package to create visualizations of PyTorch execution.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> - <b><a href="https://github.com/lucidrains/lambda-networks">Lambda Networks</a></b> (π₯20 Β· β 1.5K Β· π) - Implementation of LambdaNetworks, a new approach to.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code> -- <b><a href="https://github.com/szagoruyko/pytorchviz">pytorchviz</a></b> (π₯19 Β· β 2.9K Β· π) - A small package to create visualizations of PyTorch execution.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> - <b><a href="https://github.com/lucidrains/performer-pytorch">Performer Pytorch</a></b> (π₯19 Β· β 1K Β· π) - An implementation of Performer, a linear attention-.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code> -- <b><a href="https://github.com/GRAAL-Research/poutyne">Poutyne</a></b> (π₯19 Β· β 560) - A simplified framework and utilities for PyTorch. <code><a href="http://bit.ly/37RvQcA">βοΈLGPL-3.0</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code> +- <b><a href="https://github.com/GRAAL-Research/poutyne">Poutyne</a></b> (π₯19 Β· β 560 Β· π€) - A simplified framework and utilities for PyTorch. <code><a href="http://bit.ly/37RvQcA">βοΈLGPL-3.0</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code> - <b><a href="https://github.com/karpathy/micrograd">micrograd</a></b> (π₯18 Β· β 7.2K Β· π) - A tiny scalar-valued autograd engine and a neural net library.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code> +- <b><a href="https://github.com/abhishekkrthakur/tez">Tez</a></b> (π₯17 Β· β 1.2K Β· π) - Tez is a super-simple and lightweight Trainer for PyTorch. It.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code> - <b><a href="https://github.com/harvardnlp/pytorch-struct">Torch-Struct</a></b> (π₯17 Β· β 1.1K Β· π) - Fast, general, and tested differentiable structured.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code> - <b><a href="https://github.com/parrt/tensor-sensor">Tensor Sensor</a></b> (π₯17 Β· β 750 Β· π) - The goal of this library is to generate more helpful.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code> -- <b><a href="https://github.com/abhishekkrthakur/tez">Tez</a></b> (π₯16 Β· β 1.2K Β· π) - Tez is a super-simple and lightweight Trainer for PyTorch. It.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code> - <b><a href="https://github.com/achaiah/pywick">Pywick</a></b> (π₯15 Β· β 400 Β· π) - High-level batteries-included neural network training library for.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code> - <b><a href="https://github.com/TorchDrift/TorchDrift">TorchDrift</a></b> (π₯14 Β· β 300 Β· π) - Drift Detection for your PyTorch Models. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code> </details> @@ -7952,14 +7883,14 @@ _Libraries for connecting to, operating, and querying databases._ <a href="#contents"><img align="right" width="15" height="15" src="https://git.io/JtehR" alt="Back to top"></a> -<details><summary><b><a href="https://github.com/scipy/scipy">scipy</a></b> (π₯50 Β· β 12K Β· π) - Ecosystem of open-source software for mathematics, science, and.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary> +<details><summary><b><a href="https://github.com/scipy/scipy">scipy</a></b> (π₯50 Β· β 12K) - Ecosystem of open-source software for mathematics, science, and engineering. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary> -- [GitHub](https://github.com/scipy/scipy) (π¨βπ» 1.6K Β· π 5K Β· π₯ 390K Β· π¦ 910K Β· π 9.9K - 17% open Β· β±οΈ 24.01.2024): +- [GitHub](https://github.com/scipy/scipy) (π¨βπ» 1.6K Β· π 5K Β· π₯ 390K Β· π¦ 910K Β· π 10K - 17% open Β· β±οΈ 01.02.2024): ``` git clone https://github.com/scipy/scipy ``` -- [PyPi](https://pypi.org/project/scipy) (π₯ 71M / month Β· π¦ 66K Β· β±οΈ 20.01.2024): +- [PyPi](https://pypi.org/project/scipy) (π₯ 77M / month Β· π¦ 66K Β· β±οΈ 20.01.2024): ``` pip install scipy ``` @@ -7970,12 +7901,12 @@ _Libraries for connecting to, operating, and querying databases._ </details> <details><summary><b><a href="https://github.com/sympy/sympy">SymPy</a></b> (π₯46 Β· β 12K) - A computer algebra system written in pure Python. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary> -- [GitHub](https://github.com/sympy/sympy) (π¨βπ» 1.3K Β· π 4.2K Β· π₯ 530K Β· π¦ 110K Β· π 14K - 36% open Β· β±οΈ 25.01.2024): +- [GitHub](https://github.com/sympy/sympy) (π¨βπ» 1.3K Β· π 4.2K Β· π₯ 530K Β· π¦ 110K Β· π 14K - 36% open Β· β±οΈ 01.02.2024): ``` git clone https://github.com/sympy/sympy ``` -- [PyPi](https://pypi.org/project/sympy) (π₯ 9.8M / month Β· π¦ 4.9K Β· β±οΈ 10.05.2023): +- [PyPi](https://pypi.org/project/sympy) (π₯ 11M / month Β· π¦ 4.9K Β· β±οΈ 10.05.2023): ``` pip install sympy ``` @@ -7986,24 +7917,24 @@ _Libraries for connecting to, operating, and querying databases._ </details> <details><summary><b><a href="https://github.com/gradio-app/gradio">Gradio</a></b> (π₯43 Β· β 26K) - Wrap UIs around any model, share with anyone. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> -- [GitHub](https://github.com/gradio-app/gradio) (π¨βπ» 250 Β· π 1.8K Β· π¦ 22K Β· π 3.6K - 12% open Β· β±οΈ 25.01.2024): +- [GitHub](https://github.com/gradio-app/gradio) (π¨βπ» 250 Β· π 1.8K Β· π¦ 22K Β· π 3.6K - 12% open Β· β±οΈ 01.02.2024): ``` git clone https://github.com/gradio-app/gradio ``` -- [PyPi](https://pypi.org/project/gradio) (π₯ 4.7M / month): +- [PyPi](https://pypi.org/project/gradio) (π₯ 5.3M / month Β· π¦ 280 Β· β±οΈ 26.01.2024): ``` pip install gradio ``` </details> <details><summary><b><a href="https://github.com/streamlit/streamlit">Streamlit</a></b> (π₯40 Β· β 30K) - Streamlit A faster way to build and share data apps. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> -- [GitHub](https://github.com/streamlit/streamlit) (π¨βπ» 220 Β· π 2.7K Β· π 3.9K - 18% open Β· β±οΈ 25.01.2024): +- [GitHub](https://github.com/streamlit/streamlit) (π¨βπ» 220 Β· π 2.7K Β· π 3.9K - 18% open Β· β±οΈ 01.02.2024): ``` git clone https://github.com/streamlit/streamlit ``` -- [PyPi](https://pypi.org/project/streamlit) (π₯ 2.9M / month Β· π¦ 1.3K Β· β±οΈ 11.01.2024): +- [PyPi](https://pypi.org/project/streamlit) (π₯ 3.1M / month Β· π¦ 1.4K Β· β±οΈ 11.01.2024): ``` pip install streamlit ``` @@ -8015,19 +7946,19 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/carla-simulator/carla ``` -- [PyPi](https://pypi.org/project/carla) (π₯ 14K / month Β· π¦ 7 Β· β±οΈ 14.11.2023): +- [PyPi](https://pypi.org/project/carla) (π₯ 16K / month Β· π¦ 7 Β· β±οΈ 14.11.2023): ``` pip install carla ``` </details> <details><summary><b><a href="https://github.com/deepchem/deepchem">DeepChem</a></b> (π₯36 Β· β 4.9K) - Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry,.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/deepchem/deepchem) (π¨βπ» 230 Β· π 1.6K Β· π¦ 310 Β· π 1.8K - 31% open Β· β±οΈ 24.01.2024): +- [GitHub](https://github.com/deepchem/deepchem) (π¨βπ» 240 Β· π 1.6K Β· π¦ 310 Β· π 1.8K - 31% open Β· β±οΈ 31.01.2024): ``` git clone https://github.com/deepchem/deepchem ``` -- [PyPi](https://pypi.org/project/deepchem) (π₯ 17K / month Β· π¦ 12 Β· β±οΈ 24.01.2024): +- [PyPi](https://pypi.org/project/deepchem) (π₯ 17K / month Β· π¦ 12 Β· β±οΈ 31.01.2024): ``` pip install deepchem ``` @@ -8038,28 +7969,28 @@ _Libraries for connecting to, operating, and querying databases._ </details> <details><summary><b><a href="https://github.com/yzhao062/pyod">PyOD</a></b> (π₯35 Β· β 7.8K) - A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly.. <code><a href="http://bit.ly/3rqEWVr">BSD-2</a></code></summary> -- [GitHub](https://github.com/yzhao062/pyod) (π¨βπ» 50 Β· π 1.3K Β· π¦ 3.2K Β· π 330 - 56% open Β· β±οΈ 16.12.2023): +- [GitHub](https://github.com/yzhao062/pyod) (π¨βπ» 49 Β· π 1.3K Β· π¦ 3.2K Β· π 330 - 56% open Β· β±οΈ 16.12.2023): ``` git clone https://github.com/yzhao062/pyod ``` -- [PyPi](https://pypi.org/project/pyod) (π₯ 630K / month Β· π¦ 64 Β· β±οΈ 18.11.2023): +- [PyPi](https://pypi.org/project/pyod) (π₯ 650K / month Β· π¦ 64 Β· β±οΈ 18.11.2023): ``` pip install pyod ``` -- [Conda](https://anaconda.org/conda-forge/pyod) (π₯ 89K Β· β±οΈ 18.11.2023): +- [Conda](https://anaconda.org/conda-forge/pyod) (π₯ 90K Β· β±οΈ 18.11.2023): ``` conda install -c conda-forge pyod ``` </details> -<details><summary><b><a href="https://github.com/simonw/datasette">Datasette</a></b> (π₯34 Β· β 8.6K) - An open source multi-tool for exploring and publishing data. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> +<details><summary><b><a href="https://github.com/simonw/datasette">Datasette</a></b> (π₯34 Β· β 8.7K) - An open source multi-tool for exploring and publishing data. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> -- [GitHub](https://github.com/simonw/datasette) (π¨βπ» 75 Β· π 620 Β· π₯ 59 Β· π¦ 1.2K Β· π 1.7K - 31% open Β· β±οΈ 12.01.2024): +- [GitHub](https://github.com/simonw/datasette) (π¨βπ» 76 Β· π 620 Β· π₯ 59 Β· π¦ 1.2K Β· π 1.7K - 31% open Β· β±οΈ 01.02.2024): ``` git clone https://github.com/simonw/datasette ``` -- [PyPi](https://pypi.org/project/datasette) (π₯ 39K / month Β· π¦ 220 Β· β±οΈ 22.12.2023): +- [PyPi](https://pypi.org/project/datasette) (π₯ 40K / month Β· π¦ 220 Β· β±οΈ 22.12.2023): ``` pip install datasette ``` @@ -8070,12 +8001,12 @@ _Libraries for connecting to, operating, and querying databases._ </details> <details><summary><b><a href="https://github.com/HIPS/autograd">Autograd</a></b> (π₯33 Β· β 6.7K) - Efficiently computes derivatives of numpy code. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> -- [GitHub](https://github.com/HIPS/autograd) (π¨βπ» 56 Β· π 870 Β· π¦ 7.1K Β· π 410 - 42% open Β· β±οΈ 16.11.2023): +- [GitHub](https://github.com/HIPS/autograd) (π¨βπ» 56 Β· π 870 Β· π¦ 7.2K Β· π 410 - 42% open Β· β±οΈ 16.11.2023): ``` git clone https://github.com/HIPS/autograd ``` -- [PyPi](https://pypi.org/project/autograd) (π₯ 1.2M / month Β· π¦ 320 Β· β±οΈ 23.06.2023): +- [PyPi](https://pypi.org/project/autograd) (π₯ 1.4M / month Β· π¦ 320 Β· β±οΈ 23.06.2023): ``` pip install autograd ``` @@ -8086,16 +8017,16 @@ _Libraries for connecting to, operating, and querying databases._ </details> <details><summary><b><a href="https://github.com/PennyLaneAI/pennylane">PennyLane</a></b> (π₯33 Β· β 2K) - PennyLane is a cross-platform Python library for differentiable.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> -- [GitHub](https://github.com/PennyLaneAI/pennylane) (π¨βπ» 160 Β· π 520 Β· π₯ 70 Β· π¦ 730 Β· π 1.1K - 22% open Β· β±οΈ 24.01.2024): +- [GitHub](https://github.com/PennyLaneAI/pennylane) (π¨βπ» 160 Β· π 520 Β· π₯ 70 Β· π¦ 730 Β· π 1.1K - 22% open Β· β±οΈ 31.01.2024): ``` git clone https://github.com/PennyLaneAI/PennyLane ``` -- [PyPi](https://pypi.org/project/pennylane) (π₯ 36K / month): +- [PyPi](https://pypi.org/project/pennylane) (π₯ 41K / month Β· π¦ 69 Β· β±οΈ 08.01.2024): ``` pip install pennylane ``` -- [Conda](https://anaconda.org/conda-forge/pennylane) (π₯ 32K Β· β±οΈ 16.01.2024): +- [Conda](https://anaconda.org/conda-forge/pennylane) (π₯ 33K Β· β±οΈ 16.01.2024): ``` conda install -c conda-forge pennylane ``` @@ -8107,7 +8038,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/serge-sans-paille/pythran ``` -- [PyPi](https://pypi.org/project/pythran) (π₯ 140K / month Β· π¦ 22 Β· β±οΈ 07.01.2024): +- [PyPi](https://pypi.org/project/pythran) (π₯ 160K / month Β· π¦ 22 Β· β±οΈ 07.01.2024): ``` pip install pythran ``` @@ -8123,7 +8054,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/wireservice/agate ``` -- [PyPi](https://pypi.org/project/agate) (π₯ 4.2M / month Β· π¦ 150 Β· β±οΈ 21.12.2023): +- [PyPi](https://pypi.org/project/agate) (π₯ 4.5M / month Β· π¦ 150 Β· β±οΈ 21.12.2023): ``` pip install agate ``` @@ -8139,19 +8070,19 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/PaddlePaddle/PaddleHub ``` -- [PyPi](https://pypi.org/project/paddlehub) (π₯ 7.1K / month Β· π¦ 6 Β· β±οΈ 20.09.2023): +- [PyPi](https://pypi.org/project/paddlehub) (π₯ 6.9K / month Β· π¦ 6 Β· β±οΈ 20.09.2023): ``` pip install paddlehub ``` </details> <details><summary><b><a href="https://github.com/online-ml/river">River</a></b> (π₯32 Β· β 4.6K) - Online machine learning in Python. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code></summary> -- [GitHub](https://github.com/online-ml/river) (π¨βπ» 110 Β· π 550 Β· π¦ 410 Β· π 560 - 18% open Β· β±οΈ 20.01.2024): +- [GitHub](https://github.com/online-ml/river) (π¨βπ» 110 Β· π 550 Β· π¦ 420 Β· π 560 - 18% open Β· β±οΈ 20.01.2024): ``` git clone https://github.com/online-ml/river ``` -- [PyPi](https://pypi.org/project/river) (π₯ 20K / month Β· π¦ 30 Β· β±οΈ 05.12.2023): +- [PyPi](https://pypi.org/project/river) (π₯ 21K / month Β· π¦ 30 Β· β±οΈ 05.12.2023): ``` pip install river ``` @@ -8160,30 +8091,14 @@ _Libraries for connecting to, operating, and querying databases._ conda install -c conda-forge river ``` </details> -<details><summary><b><a href="https://github.com/scikit-learn-contrib/hdbscan">hdbscan</a></b> (π₯31 Β· β 2.6K) - A high performance implementation of HDBSCAN clustering. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code></summary> - -- [GitHub](https://github.com/scikit-learn-contrib/hdbscan) (π¨βπ» 86 Β· π 480 Β· π¦ 3K Β· π 500 - 67% open Β· β±οΈ 20.11.2023): - - ``` - git clone https://github.com/scikit-learn-contrib/hdbscan - ``` -- [PyPi](https://pypi.org/project/hdbscan) (π₯ 460K / month Β· π¦ 230 Β· β±οΈ 20.11.2023): - ``` - pip install hdbscan - ``` -- [Conda](https://anaconda.org/conda-forge/hdbscan) (π₯ 1.8M Β· β±οΈ 06.10.2023): - ``` - conda install -c conda-forge hdbscan - ``` -</details> <details><summary><b><a href="https://github.com/pyjanitor-devs/pyjanitor">pyjanitor</a></b> (π₯31 Β· β 1.2K) - Clean APIs for data cleaning. Python implementation of R package.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> -- [GitHub](https://github.com/pyjanitor-devs/pyjanitor) (π¨βπ» 110 Β· π 160 Β· π¦ 530 Β· π 540 - 19% open Β· β±οΈ 22.01.2024): +- [GitHub](https://github.com/pyjanitor-devs/pyjanitor) (π¨βπ» 110 Β· π 160 Β· π¦ 530 Β· π 540 - 19% open Β· β±οΈ 30.01.2024): ``` git clone https://github.com/pyjanitor-devs/pyjanitor ``` -- [PyPi](https://pypi.org/project/pyjanitor) (π₯ 190K / month Β· π¦ 20 Β· β±οΈ 18.09.2023): +- [PyPi](https://pypi.org/project/pyjanitor) (π₯ 190K / month): ``` pip install pyjanitor ``` @@ -8192,42 +8107,30 @@ _Libraries for connecting to, operating, and querying databases._ conda install -c conda-forge pyjanitor ``` </details> -<details><summary><b><a href="https://github.com/uber/causalml">causalml</a></b> (π₯30 Β· β 4.5K) - Uplift modeling and causal inference with machine learning.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> - -- [GitHub](https://github.com/uber/causalml) (π¨βπ» 59 Β· π 710 Β· π¦ 180 Β· π 400 - 21% open Β· β±οΈ 12.01.2024): - - ``` - git clone https://github.com/uber/causalml - ``` -- [PyPi](https://pypi.org/project/causalml) (π₯ 73K / month Β· π¦ 1 Β· β±οΈ 28.08.2023): - ``` - pip install causalml - ``` -</details> -<details><summary><b><a href="https://github.com/tensorly/tensorly">tensorly</a></b> (π₯30 Β· β 1.5K) - TensorLy: Tensor Learning in Python. <code><a href="http://bit.ly/3rqEWVr">BSD-2</a></code></summary> +<details><summary><b><a href="https://github.com/scikit-learn-contrib/hdbscan">hdbscan</a></b> (π₯30 Β· β 2.6K) - A high performance implementation of HDBSCAN clustering. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/tensorly/tensorly) (π¨βπ» 66 Β· π 270 Β· π¦ 560 Β· π 250 - 23% open Β· β±οΈ 08.01.2024): +- [GitHub](https://github.com/scikit-learn-contrib/hdbscan) (π¨βπ» 86 Β· π 450 Β· π¦ 3.1K Β· π 490 - 66% open Β· β±οΈ 20.11.2023): ``` - git clone https://github.com/tensorly/tensorly + git clone https://github.com/scikit-learn-contrib/hdbscan ``` -- [PyPi](https://pypi.org/project/tensorly) (π₯ 11K / month Β· π¦ 53 Β· β±οΈ 08.03.2023): +- [PyPi](https://pypi.org/project/hdbscan) (π₯ 540K / month): ``` - pip install tensorly + pip install hdbscan ``` -- [Conda](https://anaconda.org/conda-forge/tensorly) (π₯ 360K Β· β±οΈ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/hdbscan) (π₯ 1.8M Β· β±οΈ 06.10.2023): ``` - conda install -c conda-forge tensorly + conda install -c conda-forge hdbscan ``` </details> <details><summary><b><a href="https://github.com/inducer/pyopencl">pyopencl</a></b> (π₯30 Β· β 1K) - OpenCL integration for Python, plus shiny features. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> -- [GitHub](https://github.com/inducer/pyopencl) (π¨βπ» 95 Β· π 240 Β· π¦ 1.8K Β· π 340 - 21% open Β· β±οΈ 23.01.2024): +- [GitHub](https://github.com/inducer/pyopencl) (π¨βπ» 95 Β· π 240 Β· π¦ 1.8K Β· π 330 - 21% open Β· β±οΈ 23.01.2024): ``` git clone https://github.com/inducer/pyopencl ``` -- [PyPi](https://pypi.org/project/pyopencl) (π₯ 41K / month Β· π¦ 210 Β· β±οΈ 23.01.2024): +- [PyPi](https://pypi.org/project/pyopencl) (π₯ 48K / month Β· π¦ 210 Β· β±οΈ 23.01.2024): ``` pip install pyopencl ``` @@ -8238,12 +8141,12 @@ _Libraries for connecting to, operating, and querying databases._ </details> <details><summary><b><a href="https://github.com/datalad/datalad">datalad</a></b> (π₯30 Β· β 480) - Keep code, data, containers under control with git and git-annex. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> -- [GitHub](https://github.com/datalad/datalad) (π¨βπ» 55 Β· π 110 Β· π 3.9K - 12% open Β· β±οΈ 02.01.2024): +- [GitHub](https://github.com/datalad/datalad) (π¨βπ» 55 Β· π 110 Β· π 3.9K - 12% open Β· β±οΈ 01.02.2024): ``` git clone https://github.com/datalad/datalad ``` -- [PyPi](https://pypi.org/project/datalad) (π₯ 17K / month Β· π¦ 65 Β· β±οΈ 28.12.2023): +- [PyPi](https://pypi.org/project/datalad) (π₯ 19K / month Β· π¦ 65 Β· β±οΈ 28.12.2023): ``` pip install datalad ``` @@ -8252,9 +8155,9 @@ _Libraries for connecting to, operating, and querying databases._ conda install -c conda-forge datalad ``` </details> -<details><summary><b><a href="https://github.com/gventuri/pandas-ai">pandas-ai</a></b> (π₯29 Β· β 9.5K) - Chat with your data (SQL, CSV, pandas, polars, noSQL, etc). PandasAI.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> +<details><summary><b><a href="https://github.com/gventuri/pandas-ai">pandas-ai</a></b> (π₯29 Β· β 9.6K) - Chat with your data (SQL, CSV, pandas, polars, noSQL, etc). PandasAI.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> -- [GitHub](https://github.com/gventuri/pandas-ai) (π¨βπ» 61 Β· π 810 Β· π¦ 2.6K Β· π 440 - 38% open Β· β±οΈ 23.01.2024): +- [GitHub](https://github.com/gventuri/pandas-ai) (π¨βπ» 64 Β· π 820 Β· π¦ 2.6K Β· π 450 - 38% open Β· β±οΈ 31.01.2024): ``` git clone https://github.com/gventuri/pandas-ai @@ -8264,42 +8167,70 @@ _Libraries for connecting to, operating, and querying databases._ pip install pandas-ai ``` </details> +<details><summary><b><a href="https://github.com/uber/causalml">causalml</a></b> (π₯29 Β· β 4.6K) - Uplift modeling and causal inference with machine learning.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> + +- [GitHub](https://github.com/uber/causalml) (π¨βπ» 59 Β· π 760 Β· π¦ 180 Β· π 370 - 15% open Β· β±οΈ 29.01.2024): + + ``` + git clone https://github.com/uber/causalml + ``` +- [PyPi](https://pypi.org/project/causalml) (π₯ 77K / month Β· π¦ 1 Β· β±οΈ 28.08.2023): + ``` + pip install causalml + ``` +</details> +<details><summary><b><a href="https://github.com/tensorly/tensorly">tensorly</a></b> (π₯29 Β· β 1.5K) - TensorLy: Tensor Learning in Python. <code><a href="http://bit.ly/3rqEWVr">BSD-2</a></code></summary> + +- [GitHub](https://github.com/tensorly/tensorly) (π¨βπ» 66 Β· π 270 Β· π¦ 560 Β· π 250 - 23% open Β· β±οΈ 08.01.2024): + + ``` + git clone https://github.com/tensorly/tensorly + ``` +- [PyPi](https://pypi.org/project/tensorly) (π₯ 13K / month Β· π¦ 54 Β· β±οΈ 08.03.2023): + ``` + pip install tensorly + ``` +- [Conda](https://anaconda.org/conda-forge/tensorly) (π₯ 360K Β· β±οΈ 16.06.2023): + ``` + conda install -c conda-forge tensorly + ``` +</details> <details><summary><b><a href="https://github.com/nicodv/kmodes">kmodes</a></b> (π₯29 Β· β 1.2K) - Python implementations of the k-modes and k-prototypes clustering.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> -- [GitHub](https://github.com/nicodv/kmodes) (π¨βπ» 22 Β· π 400 Β· π¦ 2.4K Β· π 160 - 10% open Β· β±οΈ 17.01.2024): +- [GitHub](https://github.com/nicodv/kmodes) (π¨βπ» 22 Β· π 410 Β· π¦ 2.4K Β· π 160 - 10% open Β· β±οΈ 17.01.2024): ``` git clone https://github.com/nicodv/kmodes ``` -- [PyPi](https://pypi.org/project/kmodes) (π₯ 290K / month Β· π¦ 33 Β· β±οΈ 06.09.2022): +- [PyPi](https://pypi.org/project/kmodes) (π₯ 270K / month Β· π¦ 33 Β· β±οΈ 06.09.2022): ``` pip install kmodes ``` -- [Conda](https://anaconda.org/conda-forge/kmodes) (π₯ 39K Β· β±οΈ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/kmodes) (π₯ 40K Β· β±οΈ 16.06.2023): ``` conda install -c conda-forge kmodes ``` </details> <details><summary><b><a href="https://github.com/openvinotoolkit/anomalib">anomalib</a></b> (π₯28 Β· β 2.8K) - An anomaly detection library comprising state-of-the-art algorithms.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> -- [GitHub](https://github.com/openvinotoolkit/anomalib) (π¨βπ» 68 Β· π 520 Β· π₯ 5.7K Β· π¦ 47 Β· π 670 - 12% open Β· β±οΈ 25.01.2024): +- [GitHub](https://github.com/openvinotoolkit/anomalib) (π¨βπ» 69 Β· π 510 Β· π₯ 5.9K Β· π¦ 49 Β· π 660 - 11% open Β· β±οΈ 01.02.2024): ``` git clone https://github.com/openvinotoolkit/anomalib ``` -- [PyPi](https://pypi.org/project/anomalib) (π₯ 9.3K / month Β· π¦ 1 Β· β±οΈ 09.01.2024): +- [PyPi](https://pypi.org/project/anomalib) (π₯ 12K / month): ``` pip install anomalib ``` </details> <details><summary><b><a href="https://github.com/ContinualAI/avalanche">avalanche</a></b> (π₯28 Β· β 1.6K) - Avalanche: an End-to-End Library for Continual Learning based on.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> -- [GitHub](https://github.com/ContinualAI/avalanche) (π¨βπ» 75 Β· π 260 Β· π₯ 4 Β· π¦ 64 Β· π 770 - 12% open Β· β±οΈ 25.01.2024): +- [GitHub](https://github.com/ContinualAI/avalanche) (π¨βπ» 75 Β· π 260 Β· π₯ 4 Β· π¦ 66 Β· π 780 - 10% open Β· β±οΈ 26.01.2024): ``` git clone https://github.com/ContinualAI/avalanche ``` -- [PyPi](https://pypi.org/project/avalanche-lib) (π₯ 780 / month Β· π¦ 1 Β· β±οΈ 28.07.2023): +- [PyPi](https://pypi.org/project/avalanche-lib) (π₯ 970 / month Β· π¦ 1 Β· β±οΈ 28.07.2023): ``` pip install avalanche-lib ``` @@ -8311,7 +8242,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/ljvmiranda921/pyswarms ``` -- [PyPi](https://pypi.org/project/pyswarms) (π₯ 38K / month Β· π¦ 14 Β· β±οΈ 03.01.2021): +- [PyPi](https://pypi.org/project/pyswarms) (π₯ 42K / month Β· π¦ 14 Β· β±οΈ 03.01.2021): ``` pip install pyswarms ``` @@ -8323,7 +8254,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/MaxHalford/prince ``` -- [PyPi](https://pypi.org/project/prince) (π₯ 120K / month Β· π¦ 10 Β· β±οΈ 11.10.2023): +- [PyPi](https://pypi.org/project/prince) (π₯ 130K / month Β· π¦ 10 Β· β±οΈ 11.10.2023): ``` pip install prince ``` @@ -8334,7 +8265,7 @@ _Libraries for connecting to, operating, and querying databases._ </details> <details><summary><b><a href="https://github.com/google-deepmind/pysc2">pysc2</a></b> (π₯27 Β· β 7.9K Β· π€) - StarCraft II Learning Environment. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> -- [GitHub](https://github.com/google-deepmind/pysc2) (π¨βπ» 39 Β· π 1.2K Β· π₯ 31K Β· π¦ 670 Β· π 280 - 17% open Β· β±οΈ 19.04.2023): +- [GitHub](https://github.com/google-deepmind/pysc2) (π¨βπ» 39 Β· π 1.2K Β· π₯ 31K Β· π¦ 680 Β· π 280 - 17% open Β· β±οΈ 19.04.2023): ``` git clone https://github.com/deepmind/pysc2 @@ -8351,7 +8282,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/tableau/TabPy ``` -- [PyPi](https://pypi.org/project/tabpy) (π₯ 15K / month Β· π¦ 2 Β· β±οΈ 30.01.2023): +- [PyPi](https://pypi.org/project/tabpy) (π₯ 11K / month Β· π¦ 2 Β· β±οΈ 30.01.2023): ``` pip install tabpy ``` @@ -8362,12 +8293,12 @@ _Libraries for connecting to, operating, and querying databases._ </details> <details><summary><b><a href="https://github.com/scikit-learn-contrib/metric-learn">metric-learn</a></b> (π₯27 Β· β 1.4K) - Metric learning algorithms in Python. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/scikit-learn-contrib/metric-learn) (π¨βπ» 22 Β· π 260 Β· π¦ 340 Β· π 170 - 31% open Β· β±οΈ 29.09.2023): +- [GitHub](https://github.com/scikit-learn-contrib/metric-learn) (π¨βπ» 22 Β· π 220 Β· π¦ 350 Β· π 160 - 26% open Β· β±οΈ 29.09.2023): ``` git clone https://github.com/scikit-learn-contrib/metric-learn ``` -- [PyPi](https://pypi.org/project/metric-learn) (π₯ 14K / month Β· π¦ 13 Β· β±οΈ 09.10.2023): +- [PyPi](https://pypi.org/project/metric-learn) (π₯ 14K / month): ``` pip install metric-learn ``` @@ -8378,24 +8309,24 @@ _Libraries for connecting to, operating, and querying databases._ </details> <details><summary><b><a href="https://github.com/facebookresearch/AugLy">AugLy</a></b> (π₯26 Β· β 4.9K) - A data augmentations library for audio, image, text, and video. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> -- [GitHub](https://github.com/facebookresearch/AugLy) (π¨βπ» 34 Β· π 290 Β· π¦ 97 Β· π 76 - 28% open Β· β±οΈ 08.11.2023): +- [GitHub](https://github.com/facebookresearch/AugLy) (π¨βπ» 34 Β· π 290 Β· π¦ 97 Β· π 76 - 28% open Β· β±οΈ 27.01.2024): ``` git clone https://github.com/facebookresearch/AugLy ``` -- [PyPi](https://pypi.org/project/augly) (π₯ 1.4K / month Β· π¦ 4 Β· β±οΈ 05.12.2023): +- [PyPi](https://pypi.org/project/augly) (π₯ 1.5K / month Β· π¦ 4 Β· β±οΈ 05.12.2023): ``` pip install augly ``` </details> <details><summary><b><a href="https://github.com/adapter-hub/adapters">adapter-transformers</a></b> (π₯26 Β· β 2.3K) - A Unified Library for Parameter-Efficient and Modular.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code>huggingface</code></summary> -- [GitHub](https://github.com/adapter-hub/adapters) (π¨βπ» 6 Β· π 310 Β· π¦ 16 Β· π 350 - 11% open Β· β±οΈ 09.01.2024): +- [GitHub](https://github.com/adapter-hub/adapters) (π¨βπ» 8 Β· π 310 Β· π¦ 19 Β· π 350 - 11% open Β· β±οΈ 31.01.2024): ``` git clone https://github.com/Adapter-Hub/adapter-transformers ``` -- [PyPi](https://pypi.org/project/adapter-transformers) (π₯ 17K / month Β· π¦ 7 Β· β±οΈ 16.12.2023): +- [PyPi](https://pypi.org/project/adapter-transformers) (π₯ 19K / month Β· π¦ 7 Β· β±οΈ 16.12.2023): ``` pip install adapter-transformers ``` @@ -8407,54 +8338,66 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/modAL-python/modAL ``` -- [PyPi](https://pypi.org/project/modAL) (π₯ 180K / month Β· π¦ 11 Β· β±οΈ 25.01.2024): +- [PyPi](https://pypi.org/project/modAL) (π₯ 230K / month Β· π¦ 11 Β· β±οΈ 31.01.2024): ``` pip install modAL ``` </details> -<details><summary><b><a href="https://github.com/trevorstephens/gplearn">gplearn</a></b> (π₯26 Β· β 1.5K) - Genetic Programming in Python, with a scikit-learn inspired API. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code></summary> +<details><summary><b><a href="https://github.com/sepandhaghighi/pycm">pycm</a></b> (π₯26 Β· β 1.4K Β· π€) - Multi-class confusion matrix library in Python. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> -- [GitHub](https://github.com/trevorstephens/gplearn) (π¨βπ» 11 Β· π 260 Β· π¦ 500 Β· π 210 - 10% open Β· β±οΈ 12.08.2023): +- [GitHub](https://github.com/sepandhaghighi/pycm) (π¨βπ» 17 Β· π 120 Β· π¦ 270 Β· π 200 - 5% open Β· β±οΈ 07.06.2023): ``` - git clone https://github.com/trevorstephens/gplearn + git clone https://github.com/sepandhaghighi/pycm ``` -- [PyPi](https://pypi.org/project/gplearn) (π₯ 5.4K / month Β· π¦ 16 Β· β±οΈ 03.05.2022): +- [PyPi](https://pypi.org/project/pycm) (π₯ 50K / month Β· π¦ 18 Β· β±οΈ 07.06.2023): ``` - pip install gplearn + pip install pycm ``` -- [Conda](https://anaconda.org/conda-forge/gplearn) (π₯ 6.5K Β· β±οΈ 16.06.2023): +</details> +<details><summary><b><a href="https://github.com/google/trax">Trax</a></b> (π₯25 Β· β 7.9K) - Trax Deep Learning with Clear Code and Speed. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> + +- [GitHub](https://github.com/google/trax) (π¨βπ» 79 Β· π 810 Β· π¦ 140 Β· π 240 - 47% open Β· β±οΈ 01.02.2024): + ``` - conda install -c conda-forge gplearn + git clone https://github.com/google/trax + ``` +- [PyPi](https://pypi.org/project/trax) (π₯ 2.9K / month Β· π¦ 1 Β· β±οΈ 26.10.2021): + ``` + pip install trax ``` </details> -<details><summary><b><a href="https://github.com/sepandhaghighi/pycm">pycm</a></b> (π₯26 Β· β 1.4K Β· π€) - Multi-class confusion matrix library in Python. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> +<details><summary><b><a href="https://github.com/mars-project/mars">Mars</a></b> (π₯25 Β· β 2.7K) - Mars is a tensor-based unified framework for large-scale data.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> -- [GitHub](https://github.com/sepandhaghighi/pycm) (π¨βπ» 17 Β· π 120 Β· π¦ 270 Β· π 200 - 5% open Β· β±οΈ 07.06.2023): +- [GitHub](https://github.com/mars-project/mars) (π¨βπ» 52 Β· π 320 Β· π 1.2K - 17% open Β· β±οΈ 02.11.2023): ``` - git clone https://github.com/sepandhaghighi/pycm + git clone https://github.com/mars-project/mars ``` -- [PyPi](https://pypi.org/project/pycm) (π₯ 50K / month Β· π¦ 18 Β· β±οΈ 07.06.2023): +- [PyPi](https://pypi.org/project/pymars) (π₯ 12K / month Β· π¦ 1 Β· β±οΈ 12.06.2022): ``` - pip install pycm + pip install pymars ``` </details> -<details><summary><b><a href="https://github.com/google/trax">Trax</a></b> (π₯25 Β· β 7.9K) - Trax Deep Learning with Clear Code and Speed. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> +<details><summary><b><a href="https://github.com/trevorstephens/gplearn">gplearn</a></b> (π₯25 Β· β 1.5K) - Genetic Programming in Python, with a scikit-learn inspired API. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/google/trax) (π¨βπ» 79 Β· π 810 Β· π¦ 140 Β· π 240 - 47% open Β· β±οΈ 15.11.2023): +- [GitHub](https://github.com/trevorstephens/gplearn) (π¨βπ» 10 Β· π 260 Β· π¦ 500 Β· π 210 - 10% open Β· β±οΈ 12.08.2023): ``` - git clone https://github.com/google/trax + git clone https://github.com/trevorstephens/gplearn ``` -- [PyPi](https://pypi.org/project/trax) (π₯ 2.8K / month Β· π¦ 1 Β· β±οΈ 26.10.2021): +- [PyPi](https://pypi.org/project/gplearn) (π₯ 6.1K / month): ``` - pip install trax + pip install gplearn + ``` +- [Conda](https://anaconda.org/conda-forge/gplearn) (π₯ 6.5K Β· β±οΈ 16.06.2023): + ``` + conda install -c conda-forge gplearn ``` </details> -<details><summary><b><a href="https://github.com/dstackai/dstack">dstack</a></b> (π₯25 Β· β 910) - dstack is an open-source toolkit for running GPU workloads on any.. <code><a href="http://bit.ly/3postzC">MPL-2.0</a></code></summary> +<details><summary><b><a href="https://github.com/dstackai/dstack">dstack</a></b> (π₯25 Β· β 920) - dstack is an open-source toolkit for running GPU workloads on any.. <code><a href="http://bit.ly/3postzC">MPL-2.0</a></code></summary> -- [GitHub](https://github.com/dstackai/dstack) (π¨βπ» 14 Β· π 58 Β· π¦ 14 Β· π 450 - 3% open Β· β±οΈ 25.01.2024): +- [GitHub](https://github.com/dstackai/dstack) (π¨βπ» 16 Β· π 58 Β· π¦ 14 Β· π 460 - 3% open Β· β±οΈ 01.02.2024): ``` git clone https://github.com/dstackai/dstack @@ -8464,38 +8407,42 @@ _Libraries for connecting to, operating, and querying databases._ pip install dstack ``` </details> -<details><summary><b><a href="https://github.com/mars-project/mars">Mars</a></b> (π₯24 Β· β 2.7K) - Mars is a tensor-based unified framework for large-scale data.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> +<details><summary><b><a href="https://github.com/Project-MONAI/MONAILabel">MONAILabel</a></b> (π₯24 Β· β 500) - MONAI Label is an intelligent open source image labeling and.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> -- [GitHub](https://github.com/mars-project/mars) (π¨βπ» 52 Β· π 320 Β· π 1.2K - 17% open Β· β±οΈ 02.11.2023): +- [GitHub](https://github.com/Project-MONAI/MONAILabel) (π¨βπ» 57 Β· π 170 Β· π₯ 71K Β· π 480 - 19% open Β· β±οΈ 24.01.2024): ``` - git clone https://github.com/mars-project/mars + git clone https://github.com/Project-MONAI/MONAILabel ``` -- [PyPi](https://pypi.org/project/pymars) (π₯ 11K / month Β· π¦ 1 Β· β±οΈ 12.06.2022): +- [PyPi](https://pypi.org/project/monailabel-weekly) (π₯ 440 / month): ``` - pip install pymars + pip install monailabel-weekly ``` </details> -<details><summary><b><a href="https://github.com/Project-MONAI/MONAILabel">MONAILabel</a></b> (π₯24 Β· β 500) - MONAI Label is an intelligent open source image labeling and.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary> +<details><summary><b><a href="https://github.com/astroML/astroML">AstroML</a></b> (π₯22 Β· β 1K) - Machine learning, statistics, and data mining for astronomy and.. <code><a href="http://bit.ly/3rqEWVr">BSD-2</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/Project-MONAI/MONAILabel) (π¨βπ» 57 Β· π 170 Β· π₯ 70K Β· π 480 - 19% open Β· β±οΈ 24.01.2024): +- [GitHub](https://github.com/astroML/astroML) (π¨βπ» 31 Β· π 290 Β· π 160 - 39% open Β· β±οΈ 04.01.2024): ``` - git clone https://github.com/Project-MONAI/MONAILabel + git clone https://github.com/astroML/astroML ``` -- [PyPi](https://pypi.org/project/monailabel-weekly) (π₯ 350 / month Β· β±οΈ 01.10.2023): +- [PyPi](https://pypi.org/project/astroML) (π₯ 1.1K / month Β· π¦ 37 Β· β±οΈ 01.03.2022): ``` - pip install monailabel-weekly + pip install astroML + ``` +- [Conda](https://anaconda.org/conda-forge/astroml) (π₯ 42K Β· β±οΈ 16.06.2023): + ``` + conda install -c conda-forge astroml ``` </details> -<details><summary><b><a href="https://github.com/BioPandas/biopandas">BioPandas</a></b> (π₯23 Β· β 660) - Working with molecular structures in pandas DataFrames. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1S" style="display:inline;" width="13" height="13"></code></summary> +<details><summary><b><a href="https://github.com/BioPandas/biopandas">BioPandas</a></b> (π₯22 Β· β 660) - Working with molecular structures in pandas DataFrames. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1S" style="display:inline;" width="13" height="13"></code></summary> - [GitHub](https://github.com/BioPandas/biopandas) (π¨βπ» 15 Β· π 120 Β· π¦ 230 Β· π 56 - 41% open Β· β±οΈ 19.09.2023): ``` git clone https://github.com/rasbt/biopandas ``` -- [PyPi](https://pypi.org/project/biopandas) (π₯ 81K / month Β· π¦ 23 Β· β±οΈ 28.08.2023): +- [PyPi](https://pypi.org/project/biopandas) (π₯ 83K / month Β· π¦ 23 Β· β±οΈ 28.08.2023): ``` pip install biopandas ``` @@ -8504,42 +8451,26 @@ _Libraries for connecting to, operating, and querying databases._ conda install -c conda-forge biopandas ``` </details> -<details><summary><b><a href="https://github.com/yzhao062/SUOD">SUOD</a></b> (π₯23 Β· β 360) - (MLSys 21) An Acceleration System for Large-scare Unsupervised Heterogeneous.. <code><a href="http://bit.ly/3rqEWVr">BSD-2</a></code></summary> +<details><summary><b><a href="https://github.com/yzhao062/SUOD">SUOD</a></b> (π₯22 Β· β 360) - (MLSys 21) An Acceleration System for Large-scare Unsupervised Heterogeneous.. <code><a href="http://bit.ly/3rqEWVr">BSD-2</a></code></summary> - [GitHub](https://github.com/yzhao062/SUOD) (π¨βπ» 3 Β· π 47 Β· π¦ 500 Β· π 12 - 75% open Β· β±οΈ 19.11.2023): ``` git clone https://github.com/yzhao062/SUOD ``` -- [PyPi](https://pypi.org/project/suod) (π₯ 9.6K / month Β· π¦ 2 Β· β±οΈ 19.11.2023): +- [PyPi](https://pypi.org/project/suod) (π₯ 11K / month Β· π¦ 2 Β· β±οΈ 19.11.2023): ``` pip install suod ``` </details> -<details><summary><b><a href="https://github.com/astroML/astroML">AstroML</a></b> (π₯22 Β· β 990) - Machine learning, statistics, and data mining for astronomy and.. <code><a href="http://bit.ly/3rqEWVr">BSD-2</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code></summary> - -- [GitHub](https://github.com/astroML/astroML) (π¨βπ» 31 Β· π 290 Β· π 160 - 39% open Β· β±οΈ 04.01.2024): - - ``` - git clone https://github.com/astroML/astroML - ``` -- [PyPi](https://pypi.org/project/astroML) (π₯ 980 / month Β· π¦ 37 Β· β±οΈ 01.03.2022): - ``` - pip install astroML - ``` -- [Conda](https://anaconda.org/conda-forge/astroml) (π₯ 42K Β· β±οΈ 16.06.2023): - ``` - conda install -c conda-forge astroml - ``` -</details> <details><summary><b><a href="https://github.com/clementchadebec/benchmark_VAE">benchmark_VAE</a></b> (π₯21 Β· β 1.6K) - Unifying Variational Autoencoder (VAE) implementations.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/clementchadebec/benchmark_VAE) (π¨βπ» 16 Β· π 140 Β· π¦ 19 Β· π 51 - 33% open Β· β±οΈ 21.01.2024): +- [GitHub](https://github.com/clementchadebec/benchmark_VAE) (π¨βπ» 16 Β· π 140 Β· π¦ 19 Β· π 50 - 30% open Β· β±οΈ 21.01.2024): ``` git clone https://github.com/clementchadebec/benchmark_VAE ``` -- [PyPi](https://pypi.org/project/pythae) (π₯ 4.8K / month Β· β±οΈ 06.09.2023): +- [PyPi](https://pypi.org/project/pythae) (π₯ 3.3K / month): ``` pip install pythae ``` @@ -8551,7 +8482,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/pykale/pykale ``` -- [PyPi](https://pypi.org/project/pykale) (π₯ 54 / month Β· β±οΈ 12.04.2022): +- [PyPi](https://pypi.org/project/pykale) (π₯ 73 / month Β· β±οΈ 12.04.2022): ``` pip install pykale ``` @@ -8563,19 +8494,19 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/kLabUM/rrcf ``` -- [PyPi](https://pypi.org/project/rrcf) (π₯ 2.1K / month Β· π¦ 8 Β· β±οΈ 30.04.2023): +- [PyPi](https://pypi.org/project/rrcf) (π₯ 2.3K / month Β· π¦ 8 Β· β±οΈ 30.04.2023): ``` pip install rrcf ``` </details> -<details><summary><b><a href="https://github.com/infer-actively/pymdp">pymdp</a></b> (π₯18 Β· β 350) - A Python implementation of active inference for Markov Decision Processes. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> +<details><summary><b><a href="https://github.com/infer-actively/pymdp">pymdp</a></b> (π₯18 Β· β 360) - A Python implementation of active inference for Markov Decision Processes. <code><a href="http://bit.ly/34MBwT8">MIT</a></code></summary> - [GitHub](https://github.com/infer-actively/pymdp) (π¨βπ» 14 Β· π 61 Β· π¦ 9 Β· π 40 - 37% open Β· β±οΈ 19.08.2023): ``` git clone https://github.com/infer-actively/pymdp ``` -- [PyPi](https://pypi.org/project/inferactively-pymdp) (π₯ 170 / month Β· β±οΈ 08.12.2022): +- [PyPi](https://pypi.org/project/inferactively-pymdp) (π₯ 160 / month Β· β±οΈ 08.12.2022): ``` pip install inferactively-pymdp ``` @@ -8587,26 +8518,26 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/facebookresearch/NeuralCompression ``` -- [PyPi](https://pypi.org/project/neuralcompression) (π₯ 110 / month Β· β±οΈ 03.10.2023): +- [PyPi](https://pypi.org/project/neuralcompression) (π₯ 120 / month): ``` pip install neuralcompression ``` </details> <details><summary><b><a href="https://github.com/SforAiDl/KD_Lib">KD-Lib</a></b> (π₯15 Β· β 560 Β· π€) - A Pytorch Knowledge Distillation library for benchmarking and.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code></summary> -- [GitHub](https://github.com/SforAiDl/KD_Lib) (π¨βπ» 6 Β· π 52 Β· π 67 - 26% open Β· β±οΈ 01.03.2023): +- [GitHub](https://github.com/SforAiDl/KD_Lib) (π¨βπ» 6 Β· π 52 Β· π 62 - 20% open Β· β±οΈ 01.03.2023): ``` git clone https://github.com/SforAiDl/KD_Lib ``` -- [PyPi](https://pypi.org/project/KD-Lib) (π₯ 55 / month Β· β±οΈ 18.05.2022): +- [PyPi](https://pypi.org/project/KD-Lib) (π₯ 54 / month): ``` pip install KD-Lib ``` </details> <details><summary>Show 19 hidden projects...</summary> -- <b><a href="https://github.com/cleanlab/cleanlab">cleanlab</a></b> (π₯31 Β· β 7.7K) - The standard data-centric AI package for data quality and machine.. <code><a href="http://bit.ly/3pwmjO5">βοΈAGPL-3.0</a></code> +- <b><a href="https://github.com/cleanlab/cleanlab">cleanlab</a></b> (π₯31 Β· β 7.8K) - The standard data-centric AI package for data quality and machine.. <code><a href="http://bit.ly/3pwmjO5">βοΈAGPL-3.0</a></code> - <b><a href="https://github.com/annoviko/pyclustering">pyclustering</a></b> (π₯29 Β· β 1.1K Β· π) - pyclustering is a Python, C++ data mining library. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> - <b><a href="https://github.com/explosion/cython-blis">Cython BLIS</a></b> (π₯29 Β· β 210) - Fast matrix-multiplication as a self-contained Python library no.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> - <b><a href="https://github.com/SeldonIO/alibi-detect">alibi-detect</a></b> (π₯27 Β· β 2K) - Algorithms for outlier, adversarial and drift detection. <code><a href="https://tldrlegal.com/search?q=Intel">βοΈIntel</a></code> @@ -8614,14 +8545,14 @@ _Libraries for connecting to, operating, and querying databases._ - <b><a href="https://github.com/dbt-labs/metricflow">metricflow</a></b> (π₯26 Β· β 1K) - MetricFlow allows you to define, build, and maintain metrics.. <code>βUnlicensed</code> - <b><a href="https://github.com/solegalli/feature_engine">Feature Engine</a></b> (π₯24 Β· β 1.5K Β· π) - Feature engineering package with sklearn like functionality. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> - <b><a href="https://github.com/minrk/findspark">findspark</a></b> (π₯24 Β· β 500 Β· π) - Find pyspark to make it importable. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1N" style="display:inline;" width="13" height="13"></code> -- <b><a href="https://github.com/flennerhag/mlens">mlens</a></b> (π₯23 Β· β 820 Β· π) - ML-Ensemble high performance ensemble learning. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> - <b><a href="https://github.com/ml-tooling/opyrator">opyrator</a></b> (π₯22 Β· β 3K Β· π) - Turns your machine learning code into microservices with web API,.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> +- <b><a href="https://github.com/flennerhag/mlens">mlens</a></b> (π₯22 Β· β 820 Β· π) - ML-Ensemble high performance ensemble learning. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> - <b><a href="https://github.com/vecxoz/vecstack">vecstack</a></b> (π₯22 Β· β 680 Β· π) - Python package for stacking (machine learning technique). <code><a href="http://bit.ly/34MBwT8">MIT</a></code> -- <b><a href="https://github.com/jmschrei/apricot">apricot</a></b> (π₯22 Β· β 480 Β· π) - apricot implements submodular optimization for the purpose of.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> +- <b><a href="https://github.com/jmschrei/apricot">apricot</a></b> (π₯21 Β· β 480 Β· π) - apricot implements submodular optimization for the purpose of.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> - <b><a href="https://github.com/eltonlaw/impyute">impyute</a></b> (π₯21 Β· β 340 Β· π) - Data imputations library to preprocess datasets with missing data. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> - <b><a href="https://github.com/airbnb/streamalert">StreamAlert</a></b> (π₯20 Β· β 2.8K Β· π) - StreamAlert is a serverless, realtime data analysis.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> -- <b><a href="https://github.com/EpistasisLab/scikit-rebate">scikit-rebate</a></b> (π₯20 Β· β 390 Β· π) - A scikit-learn-compatible Python implementation of.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code> - <b><a href="https://github.com/alegonz/baikal">baikal</a></b> (π₯18 Β· β 590 Β· π) - A graph-based functional API for building complex scikit-learn.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> +- <b><a href="https://github.com/EpistasisLab/scikit-rebate">scikit-rebate</a></b> (π₯16 Β· β 390 Β· π) - A scikit-learn-compatible Python implementation of.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code> - <b><a href="https://github.com/pandas-ml/pandas-ml">pandas-ml</a></b> (π₯16 Β· β 310 Β· π) - pandas, scikit-learn, xgboost and seaborn integration. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code> <code><img src="https://git.io/JLy1S" style="display:inline;" width="13" height="13"></code> - <b><a href="https://github.com/jrieke/traingenerator">traingenerator</a></b> (π₯13 Β· β 1.3K Β· π) - A web app to generate template code for machine learning. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> - <b><a href="https://github.com/Palashio/nylon">nylon</a></b> (π₯12 Β· β 85 Β· π) - An intelligent, flexible grammar of machine learning. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> diff --git a/history/2024-02-01_changes.md b/history/2024-02-01_changes.md new file mode 100644 index 00000000..c4fb0e48 --- /dev/null +++ b/history/2024-02-01_changes.md @@ -0,0 +1,36 @@ +## π Trending Up + +_Projects that have a higher project-quality score compared to the last update. There might be a variety of reasons, such as increased downloads or code activity._ + +- <b><a href="https://github.com/keras-team/keras">Keras</a></b> (π₯47 Β· β 60K Β· π) - Deep Learning for humans. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code> +- <b><a href="https://github.com/apache/spark">PySpark</a></b> (π₯45 Β· β 38K Β· π) - Apache Spark Python API. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1N" style="display:inline;" width="13" height="13"></code> +- <b><a href="https://github.com/cupy/cupy">CuPy</a></b> (π₯38 Β· β 7.5K Β· π) - NumPy & SciPy for GPU. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> +- <b><a href="https://github.com/apache/flink">PyFlink</a></b> (π₯37 Β· β 23K Β· π) - Apache Flink Python API. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> +- <b><a href="https://github.com/mozilla/DeepSpeech">DeepSpeech</a></b> (π₯34 Β· β 24K Β· π) - DeepSpeech is an open source embedded (offline, on-.. <code><a href="http://bit.ly/3postzC">MPL-2.0</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code> +- <b><a href="https://github.com/pytorch/text">torchtext</a></b> (π₯34 Β· β 3.4K Β· π) - Models, data loaders and abstractions for language.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code> +- <b><a href="https://github.com/lmcinnes/umap">UMAP</a></b> (π₯33 Β· β 6.8K Β· π) - Uniform Manifold Approximation and Projection. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> +- <b><a href="https://github.com/madmaze/pytesseract">Tesseract</a></b> (π₯33 Β· β 5.3K Β· π) - Python-tesseract is an optical character recognition (OCR).. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> +- <b><a href="https://github.com/anhaidgroup/deepmatcher">DeepMatcher</a></b> (π₯22 Β· β 4.9K Β· π) - Python package for performing Entity and Text Matching using.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> +- <b><a href="https://github.com/edublancas/sklearn-evaluation">sklearn-evaluation</a></b> (π₯17 Β· β 360 Β· π) - Machine learning model evaluation made easy: plots,.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code> + +## π Trending Down + +_Projects that have a lower project-quality score compared to the last update. There might be a variety of reasons such as decreased downloads or code activity._ + +- <b><a href="https://github.com/h2oai/h2o-3">H2O-3</a></b> (π₯33 Β· β 6.6K Β· π) - H2O is an Open Source, Distributed, Fast & Scalable Machine.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> +- <b><a href="https://github.com/rasbt/mlxtend">MLxtend</a></b> (π₯32 Β· β 4.7K Β· π) - A library of extension and helper modules for Pythons.. <code>βUnlicensed</code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code> +- <b><a href="https://github.com/bukosabino/ta">ta</a></b> (π₯28 Β· β 3.9K Β· π) - Technical Analysis Library using Pandas and Numpy. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> +- <b><a href="https://github.com/openai/baselines">baselines</a></b> (π₯26 Β· β 15K Β· π) - OpenAI Baselines: high-quality implementations of reinforcement.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> +- <b><a href="https://github.com/luispedro/mahotas">mahotas</a></b> (π₯25 Β· β 820 Β· π) - Computer Vision in Python. <code>βUnlicensed</code> +- <b><a href="https://github.com/dmlc/gluon-nlp">GluonNLP</a></b> (π₯24 Β· β 2.6K Β· π) - Toolkit that enables easy text preprocessing, datasets.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1X" style="display:inline;" width="13" height="13"></code> +- <b><a href="https://github.com/TeamHG-Memex/sklearn-crfsuite">sklearn-crfsuite</a></b> (π₯22 Β· β 420 Β· π) - scikit-learn inspired API for CRFsuite. <code>βUnlicensed</code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code> +- <b><a href="https://github.com/AnotherSamWilson/miceforest">miceforest</a></b> (π₯20 Β· β 280 Β· π) - Multiple Imputation with LightGBM in Python. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> +- <b><a href="https://github.com/EpistasisLab/scikit-rebate">scikit-rebate</a></b> (π₯16 Β· β 390 Β· π) - A scikit-learn-compatible Python implementation of.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code> +- <b><a href="https://github.com/firmai/deltapy">deltapy</a></b> (π₯9 Β· β 520 Β· π) - DeltaPy - Tabular Data Augmentation (by @firmai). <code>βUnlicensed</code> + +## β Added Projects + +_Projects that were recently added to this best-of list._ + +- <b><a href="https://github.com/HMUNACHI/nanodl">nanodl</a></b> (π₯11 Β· β 11 Β· π£) - A Jax-based library for designing and training transformer models.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://jax.readthedocs.io/en/latest/_static/favicon.png" style="display:inline;" width="13" height="13"></code> + diff --git a/history/2024-02-01_projects.csv b/history/2024-02-01_projects.csv new file mode 100644 index 00000000..87dd869f --- /dev/null +++ b/history/2024-02-01_projects.csv @@ -0,0 +1,918 @@ +,name,github_id,category,resource,github_url,homepage,license,created_at,updated_at,last_commit_pushed_at,commit_count,recent_commit_count,fork_count,watchers_count,pr_count,open_issue_count,closed_issue_count,star_count,description,contributor_count,projectrank,show,latest_stable_release_published_at,latest_stable_release_number,release_count,pypi_id,conda_id,dockerhub_id,docs_url,labels,dependent_project_count,github_dependent_project_count,pypi_url,pypi_latest_release_published_at,pypi_dependent_project_count,pypi_monthly_downloads,monthly_downloads,conda_url,conda_latest_release_published_at,conda_total_downloads,dockerhub_url,dockerhub_latest_release_published_at,dockerhub_stars,dockerhub_pulls,projectrank_placing,github_release_downloads,trending,helm_id,updated_github_id,npm_id,npm_url,npm_latest_release_published_at,npm_dependent_project_count,npm_monthly_downloads,brew_id,apt_id,yum_id,conda_dependent_project_count,maven_id,maven_url,maven_latest_release_published_at,maven_dependent_project_count,dnf_id,yay_id,snap_id,new_addition +0,ANN Benchmarks,erikbern/ann-benchmarks,nn-search,True,https://github.com/erikbern/ann-benchmarks,https://github.com/erikbern/ann-benchmarks,MIT,2015-05-28 13:21:43.000,2024-01-31 03:41:07.000000,2024-01-10 20:21:25,1536.0,1.0,661.0,113.0,309.0,54.0,132.0,4345.0,Benchmarks of approximate nearest neighbor libraries in Python.,99.0,0,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +1,best-of-web-python - Web Scraping,ml-tooling/best-of-web-python,web-scraping,True,https://github.com/ml-tooling/best-of-web-python,https://github.com/ml-tooling/best-of-web-python#web-scraping--crawling,CC-BY-SA-4.0,2021-01-05 13:09:27.000,2024-01-25 18:36:46.000000,2024-01-25 18:36:45,303.0,24.0,159.0,52.0,180.0,,3.0,2119.0,Collection of web-scraping and crawling libraries.,14.0,0,True,2024-01-25 18:36:51.000,2024.01.25,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +2,best-of-python - Data Extraction,ml-tooling/best-of-python,data-loading,True,https://github.com/ml-tooling/best-of-python,https://github.com/ml-tooling/best-of-python#data-loading--extraction,CC-BY-SA-4.0,2021-01-11 19:11:32.000,2024-02-01 13:42:44.000000,2024-01-25 18:36:00,321.0,24.0,222.0,87.0,181.0,4.0,5.0,3294.0,Collection of data-loading and -extraction libraries.,12.0,0,True,2024-01-25 18:36:05.000,2024.01.25,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +3,best-of-python - DB Clients,ml-tooling/best-of-python,db-clients,True,https://github.com/ml-tooling/best-of-python,https://github.com/ml-tooling/best-of-python#database-clients,CC-BY-SA-4.0,2021-01-11 19:11:32.000,2024-02-01 13:42:44.000000,2024-01-25 18:36:00,321.0,24.0,222.0,87.0,181.0,4.0,5.0,3294.0,Collection of database clients for python.,12.0,0,True,2024-01-25 18:36:05.000,2024.01.25,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +4,best-of-python - Data Containers,ml-tooling/best-of-python,data-containers,True,https://github.com/ml-tooling/best-of-python,https://github.com/ml-tooling/best-of-python#data-containers--dataframes,CC-BY-SA-4.0,2021-01-11 19:11:32.000,2024-02-01 13:42:44.000000,2024-01-25 18:36:00,321.0,24.0,222.0,87.0,181.0,4.0,5.0,3294.0,"Collection of data-container, dataframe, and pandas-utility libraries.",12.0,0,True,2024-01-25 18:36:05.000,2024.01.25,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +5,best-of-python - Data Pipelines,ml-tooling/best-of-python,data-pipelines,True,https://github.com/ml-tooling/best-of-python,https://github.com/ml-tooling/best-of-python#data-pipelines--streaming,CC-BY-SA-4.0,2021-01-11 19:11:32.000,2024-02-01 13:42:44.000000,2024-01-25 18:36:00,321.0,24.0,222.0,87.0,181.0,4.0,5.0,3294.0,"Libraries for data batch- and stream-processing, workflow automation, job scheduling, and other data pipeline tasks.",12.0,0,True,2024-01-25 18:36:05.000,2024.01.25,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +6,Tensorflow,tensorflow/tensorflow,ml-frameworks,,https://github.com/tensorflow/tensorflow,https://github.com/tensorflow/tensorflow,Apache-2.0,2015-11-07 01:19:20.000,2024-02-01 13:48:51.780901,2024-02-01 13:44:42,159185.0,3290.0,89386.0,7657.0,23627.0,2052.0,36736.0,182574.0,An Open Source Machine Learning Framework for Everyone.,4536.0,55,True,2024-01-18 12:52:11.000,2.16.0,190.0,tensorflow,conda-forge/tensorflow,tensorflow/tensorflow,https://www.tensorflow.org/overview,['tensorflow'],354805.0,339328.0,https://pypi.org/project/tensorflow,2024-01-18 12:52:11.000,15477.0,17837317.0,18948380.0,https://anaconda.org/conda-forge/tensorflow,2024-01-30 00:38:25.304,4472052.0,https://hub.docker.com/r/tensorflow/tensorflow,2024-02-01 13:48:51.780901,2259.0,75938889.0,1.0,,,,,,,,,,,,,,,,,,,,, +7,PyTorch,pytorch/pytorch,ml-frameworks,,https://github.com/pytorch/pytorch,https://github.com/pytorch/pytorch,BSD-3-Clause,2016-08-13 05:26:41.000,2024-02-01 13:59:27.000000,2024-02-01 13:32:28,68988.0,3120.0,20593.0,1688.0,79055.0,13287.0,27078.0,75012.0,Tensors and Dynamic neural networks in Python with strong GPU acceleration.,4625.0,54,True,2024-01-30 17:58:51.000,2.2.0,49.0,torch,pytorch/pytorch,,https://pytorch.org/docs/stable/index.html,['pytorch'],396308.0,384062.0,https://pypi.org/project/torch,2024-01-30 17:28:30.000,12246.0,17407202.0,18101103.0,https://anaconda.org/pytorch/pytorch,2024-01-29 16:05:11.351,20112355.0,,,,,1.0,33177.0,,,,,,,,,,,,,,,,,,,, +8,scikit-learn,scikit-learn/scikit-learn,ml-frameworks,,https://github.com/scikit-learn/scikit-learn,https://github.com/scikit-learn/scikit-learn,BSD-3-Clause,2010-08-17 09:43:38.000,2024-02-01 14:12:25.000000,2024-02-01 11:57:21,30918.0,321.0,25073.0,2147.0,16741.0,2288.0,9020.0,57223.0,scikit-learn: machine learning in Python.,3066.0,52,True,2024-01-19 10:57:04.000,1.4.0-1,75.0,scikit-learn,conda-forge/scikit-learn,,,['sklearn'],722591.0,691566.0,https://pypi.org/project/scikit-learn,2024-01-18 09:21:23.000,31025.0,48661564.0,49240493.0,https://anaconda.org/conda-forge/scikit-learn,2024-01-19 10:17:08.879,26051416.0,,,,,1.0,939.0,,,,,,,,,,,,,,,,,,,, +9,transformers,huggingface/transformers,nlp,,https://github.com/huggingface/transformers,https://github.com/huggingface/transformers,Apache-2.0,2018-10-29 13:56:00.000,2024-02-01 14:01:39.000000,2024-02-01 08:45:02,15033.0,632.0,22759.0,1074.0,14557.0,746.0,13158.0,119576.0,"Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.",2389.0,50,True,2024-01-29 16:11:49.000,4.37.2,100.0,transformers,conda-forge/transformers,,,"['pytorch', 'tensorflow']",134323.0,134323.0,https://pypi.org/project/transformers,,,20239940.0,20274790.0,https://anaconda.org/conda-forge/transformers,2024-01-25 00:26:17.305,1498576.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,, +10,Matplotlib,matplotlib/matplotlib,data-viz,,https://github.com/matplotlib/matplotlib,https://github.com/matplotlib/matplotlib,Python-2.0,2011-02-19 03:17:12.000,2024-02-01 13:01:58.000000,2024-02-01 13:01:57,49486.0,414.0,7379.0,592.0,17665.0,1540.0,8872.0,18811.0,matplotlib: plotting with Python.,1642.0,50,True,2023-11-18 03:45:11.000,3.7.4,119.0,matplotlib,conda-forge/matplotlib,,,,1139966.0,1075845.0,https://pypi.org/project/matplotlib,2023-11-18 03:45:11.000,64121.0,52311115.0,52802516.0,https://anaconda.org/conda-forge/matplotlib,2023-11-20 21:33:42.497,21621646.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,, +11,scipy,scipy/scipy,others,,https://github.com/scipy/scipy,https://github.com/scipy/scipy,BSD-3-Clause,2011-03-09 18:52:03.000,2024-02-01 11:09:43.000000,2024-02-01 11:09:43,31512.0,455.0,4988.0,349.0,10304.0,1769.0,8189.0,12154.0,"Ecosystem of open-source software for mathematics, science, and engineering.",1579.0,50,True,2024-01-20 22:00:44.000,1.12.0,99.0,scipy,conda-forge/scipy,,,,978423.0,912324.0,https://pypi.org/project/scipy,2024-01-20 21:10:31.000,66099.0,76621335.0,77772990.0,https://anaconda.org/conda-forge/scipy,2024-01-24 03:11:41.395,44765839.0,,,,,1.0,392797.0,,,,,,,,,,,,,,,,,,,, +12,Keras,keras-team/keras,ml-frameworks,,https://github.com/keras-team/keras,https://github.com/keras-team/keras,Apache-2.0,2015-03-28 00:35:42.000,2024-02-01 11:43:26.000000,2024-02-01 05:13:31,10279.0,359.0,19529.0,1912.0,6899.0,182.0,11386.0,60231.0,Deep Learning for humans.,1272.0,47,True,2024-01-20 20:12:55.000,3.0.4,90.0,keras,conda-forge/keras,,https://keras.io,['tensorflow'],739.0,,https://pypi.org/project/keras,2024-01-20 20:12:55.000,739.0,13836682.0,13913195.0,https://anaconda.org/conda-forge/keras,2024-01-21 22:53:49.247,3366594.0,,,,,1.0,,4.0,,,,,,,,,,,,,,,,,,, +13,Pillow,python-pillow/Pillow,image,,https://github.com/python-pillow/Pillow,https://github.com/python-pillow/Pillow,PIL,2012-07-24 21:38:39.000,2024-01-31 22:07:52.000000,2024-01-31 22:07:48,17080.0,570.0,1960.0,224.0,4623.0,69.0,2925.0,11445.0,Python Imaging Library (Fork).,458.0,47,True,2024-01-02 09:38:41.000,10.2.0,54.0,Pillow,conda-forge/pillow,,,,1517683.0,1517683.0,https://pypi.org/project/Pillow,,,81464591.0,82296719.0,https://anaconda.org/conda-forge/pillow,2024-01-03 04:54:52.877,35781507.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,, +14,jax,google/jax,ml-frameworks,,https://github.com/google/jax,https://github.com/google/jax,Apache-2.0,2018-10-25 21:25:02.000,2024-02-01 14:01:43.000000,2024-02-01 05:37:56,19188.0,1089.0,2471.0,322.0,12298.0,1552.0,3657.0,26480.0,"Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more.",629.0,46,True,2023-12-14 07:31:53.000,0.4.23,157.0,jax,conda-forge/jaxlib,,,,22301.0,21470.0,https://pypi.org/project/jax,2023-12-14 07:31:53.000,831.0,5313313.0,5336875.0,https://anaconda.org/conda-forge/jaxlib,2023-12-23 22:02:22.397,1036768.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,, +15,SymPy,sympy/sympy,others,,https://github.com/sympy/sympy,https://github.com/sympy/sympy,BSD-3-Clause,2010-04-30 20:37:14.000,2024-02-01 14:44:41.000000,2024-02-01 10:50:09,56985.0,397.0,4210.0,292.0,12909.0,4934.0,8638.0,11807.0,A computer algebra system written in pure Python.,1272.0,46,True,2023-05-10 18:09:23.000,sympy-1.12,50.0,sympy,conda-forge/sympy,,,,113571.0,108671.0,https://pypi.org/project/sympy,2023-05-10 18:24:09.226,4900.0,10901571.0,10958669.0,https://anaconda.org/conda-forge/sympy,2023-06-16 13:17:18.981,4921642.0,,,,,1.0,530653.0,,,,,,,,,,,,,,,,,,,, +16,PySpark,apache/spark,ml-frameworks,,https://github.com/apache/spark,https://github.com/apache/spark,Apache-2.0,2014-02-25 08:00:08.000,2024-02-01 14:10:11.000000,2024-02-01 13:31:07,39737.0,1073.0,28150.0,2033.0,44953.0,201.0,,37722.0,Apache Spark Python API.,3000.0,45,True,2023-12-16 00:30:15.000,3.3.4,42.0,pyspark,conda-forge/pyspark,,,['spark'],1263.0,,https://pypi.org/project/pyspark,2023-12-16 00:30:15.000,1263.0,29822767.0,29890502.0,https://anaconda.org/conda-forge/pyspark,2023-10-04 13:44:45.676,2980349.0,,,,,1.0,,7.0,stable/spark,,,,,,,,,,,,,,,,,, +17,spaCy,explosion/spaCy,nlp,,https://github.com/explosion/spaCy,https://github.com/explosion/spaCy,MIT,2014-07-03 15:15:40.000,2024-02-01 13:53:49.000000,2024-01-30 12:58:28,16110.0,43.0,4362.0,556.0,3954.0,94.0,5462.0,28137.0,Industrial-strength Natural Language Processing (NLP) in Python.,748.0,45,True,2023-10-16 16:11:22.000,3.7.2,227.0,spacy,conda-forge/spacy,,,,82269.0,79314.0,https://pypi.org/project/spacy,2024-01-25 14:30:49.000,2955.0,5952422.0,6027934.0,https://anaconda.org/conda-forge/spacy,2023-11-05 20:08:03.012,3322560.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,, +18,pytorch-lightning,Lightning-AI/lightning,ml-frameworks,,https://github.com/Lightning-AI/pytorch-lightning,https://github.com/Lightning-AI/pytorch-lightning,Apache-2.0,2019-03-31 00:45:57.000,2024-02-01 12:09:07.000000,2024-02-01 12:09:06,10103.0,235.0,3152.0,247.0,9880.0,641.0,6066.0,25801.0,"Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.",927.0,45,True,2023-12-21 16:54:25.000,2.1.3,263.0,pytorch-lightning,conda-forge/pytorch-lightning,,,['pytorch'],29332.0,28548.0,https://pypi.org/project/pytorch-lightning,2023-12-21 16:54:25.000,784.0,4657766.0,4681877.0,https://anaconda.org/conda-forge/pytorch-lightning,2023-12-21 18:47:20.324,1043266.0,,,,,1.0,14069.0,,,Lightning-AI/pytorch-lightning,,,,,,,,,,,,,,,,, +19,XGBoost,dmlc/xgboost,ml-frameworks,,https://github.com/dmlc/xgboost,https://github.com/dmlc/xgboost,Apache-2.0,2014-02-06 17:28:03.000,2024-01-31 21:25:45.000000,2024-01-31 21:20:51,6745.0,119.0,8710.0,909.0,4953.0,411.0,4712.0,25269.0,"Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and..",636.0,45,True,2023-12-19 21:59:17.000,2.0.3,80.0,xgboost,conda-forge/xgboost,,https://xgboost.readthedocs.io/en/latest/,,81199.0,79379.0,https://pypi.org/project/xgboost,2023-12-19 21:59:17.000,1820.0,12264863.0,12370096.0,https://anaconda.org/conda-forge/xgboost,2024-01-19 09:21:22.082,4522176.0,,,,,1.0,8028.0,,,,,,,,,,,,,,,,,,,, +20,PaddlePaddle,PaddlePaddle/Paddle,ml-frameworks,,https://github.com/PaddlePaddle/Paddle,https://github.com/PaddlePaddle/Paddle,Apache-2.0,2016-08-15 06:59:08.000,2024-02-01 14:04:32.000000,2024-02-01 12:44:56,46424.0,1906.0,5410.0,725.0,43537.0,1892.0,16669.0,21297.0,PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice &.,1159.0,45,True,2024-01-08 06:43:49.000,2.6.0,66.0,paddlepaddle,,,,['paddle'],4669.0,4575.0,https://pypi.org/project/paddlepaddle,2023-12-26 06:45:52.000,94.0,218838.0,219008.0,,,,,,,,1.0,15368.0,,,,,,,,,,,,,,,,,,,, +21,Bokeh,bokeh/bokeh,data-viz,,https://github.com/bokeh/bokeh,https://github.com/bokeh/bokeh,BSD-3-Clause,2012-03-26 15:40:01.000,2024-02-01 05:43:55.000000,2024-01-30 22:18:34,20376.0,86.0,4207.0,443.0,5960.0,759.0,6812.0,18533.0,"Interactive Data Visualization in the browser, from Python.",681.0,45,True,2024-01-25 18:45:35.000,3.3.4,194.0,bokeh,conda-forge/bokeh,,,,86396.0,82583.0,https://pypi.org/project/bokeh,2024-01-30 22:20:58.000,3813.0,3693240.0,3996018.0,https://anaconda.org/conda-forge/bokeh,2024-01-25 20:54:18.325,13322265.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,, +22,StatsModels,statsmodels/statsmodels,ml-frameworks,,https://github.com/statsmodels/statsmodels,https://github.com/statsmodels/statsmodels,BSD-3-Clause,2011-06-12 17:04:50.000,2024-01-26 10:22:39.000000,2024-01-18 10:54:02,15247.0,120.0,2825.0,279.0,3843.0,2701.0,2731.0,9269.0,Statsmodels: statistical modeling and econometrics in Python.,422.0,45,True,2023-12-14 14:50:21.000,0.14.1,36.0,statsmodels,conda-forge/statsmodels,,,,119221.0,113663.0,https://pypi.org/project/statsmodels,2023-12-14 14:50:21.000,5558.0,12628351.0,12904028.0,https://anaconda.org/conda-forge/statsmodels,2023-12-14 18:03:00.804,12129827.0,,,,,1.0,30.0,,,,,,,,,,,,,,,,,,,, +23,mlflow,mlflow/mlflow,ml-experiments,,https://github.com/mlflow/mlflow,https://github.com/mlflow/mlflow,Apache-2.0,2018-06-05 16:05:58.000,2024-02-01 14:28:53.000000,2024-02-01 12:07:55,5295.0,323.0,3795.0,293.0,7361.0,1338.0,2311.0,16516.0,Open source platform for the machine learning lifecycle.,694.0,44,True,2024-01-26 07:18:31.000,2.10.0,88.0,mlflow,conda-forge/mlflow,,,,30178.0,29639.0,https://pypi.org/project/mlflow,2024-01-26 04:40:49.000,539.0,15119034.0,15158010.0,https://anaconda.org/conda-forge/mlflow,2024-01-26 07:14:31.701,1714987.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,, +24,Plotly,plotly/plotly.py,data-viz,,https://github.com/plotly/plotly.py,https://github.com/plotly/plotly.py,MIT,2013-11-21 05:53:08.000,2024-01-29 18:56:02.000000,2024-01-25 20:40:03,6293.0,60.0,2419.0,280.0,1594.0,1408.0,1379.0,14799.0,The interactive graphing library for Python This project now includes Plotly Express!.,253.0,44,True,2023-10-25 19:52:56.000,5.18.0,294.0,plotly,conda-forge/plotly,,,,241078.0,235487.0,https://pypi.org/project/plotly,2023-10-25 19:43:41.000,5584.0,11712853.0,11845459.0,https://anaconda.org/conda-forge/plotly,2023-10-25 22:33:48.925,5195520.0,,,,,1.0,,,,,plotlywidget,https://www.npmjs.com/package/plotlywidget,2021-01-12 16:09:46.133,7.0,17150.0,,,,,,,,,,,, +25,networkx,networkx/networkx,graph,,https://github.com/networkx/networkx,https://github.com/networkx/networkx,BSD-3-Clause,2010-09-06 00:53:44.000,2024-02-01 13:17:31.000000,2024-01-31 18:06:09,7579.0,92.0,3095.0,274.0,3636.0,397.0,2946.0,13846.0,Network Analysis in Python.,705.0,44,True,2023-10-28 09:53:23.000,networkx-3.2.1,92.0,networkx,conda-forge/networkx,,,,235212.0,220051.0,https://pypi.org/project/networkx,2023-10-28 08:41:36.000,15161.0,41743385.0,42091098.0,https://anaconda.org/conda-forge/networkx,2023-10-28 14:55:59.129,14603962.0,,,,,1.0,65.0,,,,,,,,,,,,,,,,,,,, +26,Seaborn,mwaskom/seaborn,data-viz,,https://github.com/mwaskom/seaborn,https://github.com/mwaskom/seaborn,BSD-3-Clause,2012-06-18 18:41:19.000,2024-01-29 13:05:56.000000,2024-01-25 13:04:48,3229.0,35.0,1876.0,259.0,1086.0,129.0,2345.0,11635.0,Statistical data visualization in Python.,210.0,44,True,2024-01-25 13:21:49.000,0.13.2,37.0,seaborn,conda-forge/seaborn,,,,367449.0,355838.0,https://pypi.org/project/seaborn,2024-01-25 13:21:49.000,11611.0,13858615.0,14039918.0,https://anaconda.org/conda-forge/seaborn,2024-01-27 07:37:15.644,7977243.0,,,,,1.0,375.0,,,,,,,,,,,,,,,,,,,, +27,Ray,ray-project/ray,distributed-ml,,https://github.com/ray-project/ray,https://github.com/ray-project/ray,Apache-2.0,2016-10-25 19:38:30.000,2024-02-01 14:46:24.000000,2024-02-01 07:18:00,20552.0,824.0,5099.0,466.0,26095.0,3573.0,13412.0,29697.0,Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a..,968.0,43,True,2024-01-19 00:28:32.000,ray-2.9.1,97.0,ray,conda-forge/ray-tune,,,,13929.0,13462.0,https://pypi.org/project/ray,2024-01-19 00:23:03.000,467.0,2920328.0,2925189.0,https://anaconda.org/conda-forge/ray-tune,2024-01-26 10:38:36.209,184642.0,,,,,1.0,203.0,,,,,,,,,,,,,,,,,,,, +28,Gradio,gradio-app/gradio,others,,https://github.com/gradio-app/gradio,https://github.com/gradio-app/gradio,Apache-2.0,2018-12-19 08:24:04.000,2024-02-01 14:26:38.000000,2024-02-01 14:23:59,6208.0,353.0,1849.0,146.0,3263.0,453.0,3184.0,25996.0,"Wrap UIs around any model, share with anyone.",251.0,43,True,2024-01-26 00:15:59.000,4.16.0,543.0,gradio,,,,,22323.0,22047.0,https://pypi.org/project/gradio,2024-01-26 00:15:59.000,276.0,5258512.0,5258512.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,, +29,onnx,onnx/onnx,model-serialisation,,https://github.com/onnx/onnx,https://github.com/onnx/onnx,Apache-2.0,2017-09-07 04:53:45.000,2024-02-01 07:46:05.000000,2024-01-29 22:45:35,2642.0,55.0,3638.0,438.0,3076.0,296.0,2338.0,16300.0,Open standard for machine learning interoperability.,305.0,43,True,2023-10-31 17:04:56.000,1.15.0,31.0,onnx,conda-forge/onnx,,,,24055.0,23380.0,https://pypi.org/project/onnx,2023-10-26 18:30:51.000,675.0,4249365.0,4270363.0,https://anaconda.org/conda-forge/onnx,2024-01-25 12:19:38.120,912468.0,,,,,1.0,19886.0,,,,,,,,,,,,,,,,,,,, +30,LightGBM,microsoft/LightGBM,ml-frameworks,,https://github.com/microsoft/LightGBM,https://github.com/microsoft/LightGBM,MIT,2016-08-05 05:45:50.000,2024-02-01 03:12:06.000000,2024-01-25 05:19:42,3414.0,48.0,3795.0,437.0,3062.0,345.0,2896.0,15827.0,"A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision..",295.0,43,True,2024-01-26 03:29:02.000,4.3.0,36.0,lightgbm,conda-forge/lightgbm,,,,30140.0,29264.0,https://pypi.org/project/lightgbm,2024-01-26 03:29:02.000,876.0,6937109.0,6992658.0,https://anaconda.org/conda-forge/lightgbm,2024-01-26 13:26:41.503,2171492.0,,,,,2.0,212111.0,,,,,,,,,,,,,,,,,,,, +31,nltk,nltk/nltk,nlp,,https://github.com/nltk/nltk,https://github.com/nltk/nltk,Apache-2.0,2009-09-07 10:53:58.000,2024-01-31 08:05:49.000000,2024-01-29 09:04:39,14509.0,40.0,2824.0,468.0,1450.0,269.0,1506.0,12763.0,Suite of libraries and programs for symbolic and statistical natural language processing for English.,453.0,43,True,2023-07-20 15:52:53.307,0.9.9,59.0,nltk,conda-forge/nltk,,,,260780.0,247920.0,https://pypi.org/project/nltk,2023-07-20 15:52:53.307,12860.0,13127681.0,13154341.0,https://anaconda.org/conda-forge/nltk,2023-06-16 13:20:53.756,2399454.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,, +32,dask,dask/dask,distributed-ml,,https://github.com/dask/dask,https://github.com/dask/dask,BSD-3-Clause,2015-01-04 18:50:00.000,2024-02-01 14:30:08.000000,2024-02-01 13:34:54,8061.0,158.0,1667.0,213.0,5680.0,1041.0,4093.0,11733.0,Parallel computing with task scheduling.,592.0,43,True,2024-01-26 23:12:39.000,2024.1.1,188.0,dask,conda-forge/dask,,,,59865.0,56744.0,https://pypi.org/project/dask,2024-01-26 23:12:39.000,3121.0,6371711.0,6608826.0,https://anaconda.org/conda-forge/dask,2024-01-27 01:41:17.329,10670218.0,,,,,1.0,,,stable/dask,,,,,,,,,,,,,,,,,, +33,torchvision,pytorch/vision,image,,https://github.com/pytorch/vision,https://github.com/pytorch/vision,BSD-3-Clause,2016-11-09 23:11:43.000,2024-02-01 12:04:11.000000,2024-01-31 12:53:48,3783.0,57.0,6860.0,399.0,5148.0,970.0,2314.0,15081.0,"Datasets, Transforms and Models specific to Computer Vision.",570.0,42,True,2024-01-30 18:31:39.000,0.17.0,41.0,torchvision,conda-forge/torchvision,,,['pytorch'],5033.0,21.0,https://pypi.org/project/torchvision,2024-01-30 17:33:54.000,5012.0,11466533.0,11494694.0,https://anaconda.org/conda-forge/torchvision,2023-12-13 18:56:48.112,969911.0,,,,,1.0,36927.0,,,,,,,,,,,,,,,,,,,, +34,pydeck,visgl/deck.gl,geospatial-data,,https://github.com/visgl/deck.gl,https://github.com/visgl/deck.gl,MIT,2015-12-15 08:38:29.000,2024-02-01 13:26:12.000000,2024-01-31 13:10:05,4633.0,82.0,2065.0,1693.0,4486.0,303.0,2586.0,11492.0,WebGL2 powered visualization framework.,244.0,42,True,2024-01-19 15:08:57.947,8.9.34,627.0,pydeck,conda-forge/pydeck,,,['jupyter'],7627.0,7081.0,https://pypi.org/project/pydeck,2023-04-15 06:29:01.705,57.0,1863459.0,2285500.0,https://anaconda.org/conda-forge/pydeck,2023-06-16 19:17:51.392,472921.0,,,,,1.0,,,,,deck.gl,https://www.npmjs.com/package/deck.gl,2024-01-22 12:31:51.578,489.0,412189.0,,,,,,,,,,,, +35,Tensorboard,tensorflow/tensorboard,ml-experiments,,https://github.com/tensorflow/tensorboard,https://github.com/tensorflow/tensorboard,Apache-2.0,2017-05-15 20:08:07.000,2024-02-01 13:12:55.000000,2024-02-01 02:30:34,5751.0,39.0,1639.0,193.0,4904.0,651.0,1221.0,6462.0,TensorFlows Visualization Toolkit.,312.0,42,True,2023-11-02 20:49:50.000,2.15.1,56.0,tensorboard,conda-forge/tensorboard,,,['tensorflow'],215658.0,212723.0,https://pypi.org/project/tensorboard,2023-11-02 20:49:50.000,2935.0,21958176.0,22060185.0,https://anaconda.org/conda-forge/tensorboard,2023-11-03 15:31:12.158,4488418.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,, +36,DeepSpeed,microsoft/DeepSpeed,distributed-ml,,https://github.com/microsoft/DeepSpeed,https://github.com/microsoft/DeepSpeed,Apache-2.0,2020-01-23 18:35:18.000,2024-02-01 10:31:14.000000,2024-01-31 00:52:04,2100.0,194.0,3768.0,311.0,2337.0,917.0,1513.0,31149.0,"DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and..",284.0,41,True,2024-01-23 23:02:47.000,0.13.1,83.0,deepspeed,,deepspeed/deepspeed,,['pytorch'],5705.0,5604.0,https://pypi.org/project/deepspeed,2024-01-23 23:02:47.000,101.0,411258.0,411618.0,,,,https://hub.docker.com/r/deepspeed/deepspeed,2022-09-02 00:25:31.275782,4.0,17677.0,1.0,,,,,,,,,,,,,,,,,,,,, +37,PyTorch Image Models,rwightman/pytorch-image-models,image,,https://github.com/huggingface/pytorch-image-models,https://github.com/huggingface/pytorch-image-models,Apache-2.0,2019-02-02 05:51:12.000,2024-01-27 21:48:33.000000,2024-01-27 21:48:33,2133.0,67.0,4500.0,308.0,439.0,69.0,768.0,28594.0,"PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT),..",128.0,41,True,2023-11-24 19:09:08.000,0.9.12,55.0,timm,conda-forge/timm,,,['pytorch'],22752.0,22374.0,https://pypi.org/project/timm,2023-11-24 18:56:31.000,378.0,4241806.0,4352185.0,https://anaconda.org/conda-forge/timm,2023-11-25 15:42:55.281,120590.0,,,,,1.0,6131816.0,,,huggingface/pytorch-image-models,,,,,,,,,,,,,,,,, +38,Milvus,milvus-io/milvus,nn-search,,https://github.com/milvus-io/milvus,https://github.com/milvus-io/milvus,Apache-2.0,2019-09-16 06:43:43.000,2024-02-01 14:28:55.672247,2024-02-01 12:39:03,19020.0,678.0,2691.0,326.0,18793.0,597.0,9430.0,25376.0,"A cloud-native vector database, storage for next generation AI applications.",262.0,41,True,2024-01-29 01:49:07.000,2.3.7,100.0,pymilvus,,milvusdb/milvus,,,82.0,,https://pypi.org/project/pymilvus,2024-01-24 02:49:14.000,82.0,455909.0,662650.0,,,,https://hub.docker.com/r/milvusdb/milvus,2024-02-01 14:28:55.672247,39.0,10690514.0,1.0,70489.0,,,,,,,,,,,,,,,,,,,, +39,DVC,iterative/dvc,ml-experiments,,https://github.com/iterative/dvc,https://github.com/iterative/dvc,Apache-2.0,2017-03-04 08:16:33.000,2024-02-01 14:20:26.395000,2024-02-01 13:15:35,9173.0,123.0,1147.0,137.0,5356.0,518.0,4060.0,12830.0,ML Experiments Management with Git.,290.0,41,True,2024-02-01 13:17:02.000,3.43.1,511.0,dvc,conda-forge/dvc,,,,12512.0,12418.0,https://pypi.org/project/dvc,2024-02-01 13:17:02.000,94.0,691720.0,735365.0,https://anaconda.org/conda-forge/dvc,2024-02-01 14:20:26.395,1758051.0,,,,,1.0,44289.0,,,,,,,,,dvc,dvc,dvc,,,,,,,,, +40,Altair,altair-viz/altair,data-viz,,https://github.com/altair-viz/altair,https://github.com/altair-viz/altair,BSD-3-Clause,2015-09-19 03:14:04.000,2024-01-31 18:55:38.000000,2024-01-31 18:55:37,3621.0,35.0,778.0,141.0,1320.0,175.0,1745.0,8690.0,Declarative statistical visualization library for Python.,161.0,41,True,2023-11-28 06:23:39.000,5.2.0,39.0,altair,conda-forge/altair,,,,104447.0,103793.0,https://pypi.org/project/altair,2023-11-28 05:41:35.000,654.0,15927986.0,16009923.0,https://anaconda.org/conda-forge/altair,2023-12-05 00:22:25.208,2130350.0,,,,,1.0,101.0,,,,,,,,,,,,,,,,,,,, +41,Catboost,catboost/catboost,ml-frameworks,,https://github.com/catboost/catboost,https://github.com/catboost/catboost,Apache-2.0,2017-07-18 05:29:04.000,2024-02-01 09:17:39.000000,2024-02-01 09:17:35,47293.0,490.0,1139.0,197.0,379.0,521.0,1672.0,7574.0,"A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification,..",1204.0,41,True,2023-09-19 20:01:10.000,1.2.2,109.0,catboost,conda-forge/catboost,,,,367.0,12.0,https://pypi.org/project/catboost,2023-09-19 18:13:58.000,355.0,1695145.0,1734883.0,https://anaconda.org/conda-forge/catboost,2023-09-19 20:23:11.996,1440714.0,,,,,2.0,215405.0,,,,,,,,,,,,,,,,,,,, +42,scikit-image,scikit-image/scikit-image,image,,https://github.com/scikit-image/scikit-image,https://github.com/scikit-image/scikit-image,,2011-07-07 22:07:20.000,2024-02-01 13:51:14.000000,2024-01-30 16:38:21,13802.0,33.0,2120.0,186.0,4347.0,533.0,2042.0,5757.0,Image processing in Python.,647.0,41,False,2023-10-03 21:36:37.000,0.22.0,23.0,scikit-image,conda-forge/scikit-image,,,,168486.0,168486.0,https://pypi.org/project/scikit-image,,,14695943.0,14830527.0,https://anaconda.org/conda-forge/scikit-image,2023-10-11 16:58:18.971,5921708.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,, +43,Streamlit,streamlit/streamlit,others,,https://github.com/streamlit/streamlit,https://github.com/streamlit/streamlit,Apache-2.0,2019-08-24 00:14:52.000,2024-02-01 14:28:24.000000,2024-02-01 08:07:40,6069.0,151.0,2717.0,304.0,4079.0,722.0,3172.0,29922.0,Streamlit A faster way to build and share data apps.,217.0,40,True,2024-01-11 18:50:58.000,1.30.0,213.0,streamlit,,,,,1360.0,,https://pypi.org/project/streamlit,2024-01-11 18:50:51.000,1360.0,3056039.0,3056039.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,, +44,shap,slundberg/shap,interpretability,,https://github.com/shap/shap,https://github.com/shap/shap,MIT,2016-11-22 19:17:08.000,2024-01-29 16:10:32.000000,2024-01-24 15:17:51,2590.0,31.0,3024.0,248.0,789.0,1423.0,967.0,21069.0,A game theoretic approach to explain the output of any machine learning model.,229.0,40,True,2024-01-25 13:08:31.000,0.44.1,52.0,shap,conda-forge/shap,,,,15508.0,15508.0,https://pypi.org/project/shap,,,7203794.0,7263329.0,https://anaconda.org/conda-forge/shap,2024-01-08 16:40:58.890,2262343.0,,,,,1.0,,,,shap/shap,,,,,,,,,,,,,,,,, +45,dash,plotly/dash,data-viz,,https://github.com/plotly/dash,https://github.com/plotly/dash,MIT,2015-04-10 01:53:08.000,2024-02-01 06:48:09.240000,2024-01-31 16:05:50,7124.0,55.0,2033.0,417.0,1015.0,816.0,855.0,20015.0,Data Apps & Dashboards for Python. No JavaScript Required.,143.0,40,True,2024-01-31 18:19:00.000,2.15.0,175.0,dash,conda-forge/dash,,,,59170.0,57704.0,https://pypi.org/project/dash,2024-01-31 18:15:05.000,1466.0,2426540.0,2453530.0,https://anaconda.org/conda-forge/dash,2024-02-01 06:48:09.240,1187547.0,,,,,1.0,66.0,,,,,,,,,,,,,,,,,,,, +46,sentence-transformers,UKPLab/sentence-transformers,nlp,,https://github.com/UKPLab/sentence-transformers,https://github.com/UKPLab/sentence-transformers,Apache-2.0,2019-07-24 10:53:51.000,2024-02-01 13:45:49.000000,2024-02-01 13:45:49,1317.0,98.0,2237.0,125.0,325.0,1012.0,894.0,13015.0,Multilingual Sentence & Image Embeddings with BERT.,138.0,40,True,2024-01-30 19:43:59.000,2.3.1,45.0,sentence-transformers,conda-forge/sentence-transformers,,,['pytorch'],24175.0,23494.0,https://pypi.org/project/sentence-transformers,2024-01-30 19:39:08.000,681.0,3306655.0,3311464.0,https://anaconda.org/conda-forge/sentence-transformers,2024-01-31 01:17:33.880,197209.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,, +47,yfinance,ranaroussi/yfinance,financial-data,,https://github.com/ranaroussi/yfinance,https://github.com/ranaroussi/yfinance,Apache-2.0,2017-05-21 10:16:15.000,2024-01-31 21:51:06.000000,2024-01-21 18:10:41,1172.0,89.0,2122.0,235.0,529.0,183.0,1055.0,11180.0,Download market data from Yahoo! Finances API.,106.0,40,True,2024-01-21 18:12:42.000,0.2.36,108.0,yfinance,ranaroussi/yfinance,,,,32969.0,32649.0,https://pypi.org/project/yfinance,2024-01-21 18:12:42.000,320.0,1425339.0,1428101.0,https://anaconda.org/ranaroussi/yfinance,2023-06-16 19:26:44.442,85651.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,, +48,PyMC3,pymc-devs/pymc,probabilistics,,https://github.com/pymc-devs/pymc,https://github.com/pymc-devs/pymc,Apache-2.0,2009-05-05 09:43:50.000,2024-02-01 09:45:29.000000,2024-01-29 17:45:18,9733.0,58.0,1916.0,227.0,3815.0,269.0,2959.0,8002.0,Bayesian Modeling and Probabilistic Programming in Python.,479.0,40,True,2023-12-21 11:15:57.000,5.10.3,77.0,pymc3,conda-forge/pymc3,,,,2906.0,2656.0,https://pypi.org/project/pymc3,2022-03-15 10:10:19.000,250.0,666740.0,672992.0,https://anaconda.org/conda-forge/pymc3,2023-06-16 13:23:30.938,548687.0,,,,,1.0,1936.0,,,,,,,,,,,,,,,,,,,, +49,wandb client,wandb/client,ml-experiments,,https://github.com/wandb/wandb,https://github.com/wandb/wandb,MIT,2017-03-24 05:46:23.000,2024-02-01 01:52:46.000000,2024-01-31 21:34:25,6087.0,169.0,598.0,56.0,3972.0,833.0,2123.0,7789.0,A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.,173.0,40,True,2024-01-09 21:46:16.000,0.16.2,267.0,wandb,conda-forge/wandb,,,,38255.0,37541.0,https://pypi.org/project/wandb,2024-01-09 21:20:59.000,714.0,11561626.0,11572062.0,https://anaconda.org/conda-forge/wandb,2024-01-10 00:10:20.527,448785.0,,,,,1.0,,,,wandb/wandb,,,,,,,,,,,,,,,,, +50,GeoPandas,geopandas/geopandas,geospatial-data,,https://github.com/geopandas/geopandas,https://github.com/geopandas/geopandas,BSD-3-Clause,2013-06-27 17:03:47.000,2024-02-01 06:21:32.000000,2024-01-27 08:31:07,1876.0,53.0,914.0,106.0,1528.0,440.0,1187.0,4043.0,Python tools for geographic data.,218.0,40,True,2024-01-31 19:22:01.000,0.14.3,52.0,geopandas,conda-forge/geopandas,,,['pandas'],32683.0,30807.0,https://pypi.org/project/geopandas,2024-01-31 19:21:57.000,1876.0,5794135.0,5871005.0,https://anaconda.org/conda-forge/geopandas,2024-01-31 21:02:18.644,3381139.0,,,,,1.0,2438.0,,,,,,,,,,,,,,,,,,,, +51,SageMaker SDK,aws/sagemaker-python-sdk,ml-experiments,,https://github.com/aws/sagemaker-python-sdk,https://github.com/aws/sagemaker-python-sdk,Apache-2.0,2017-11-14 01:03:33.000,2024-02-01 05:21:50.000000,2024-01-31 23:30:53,3486.0,137.0,1113.0,132.0,2817.0,268.0,1154.0,2000.0,A library for training and deploying machine learning models on Amazon SageMaker.,419.0,40,True,2024-02-01 05:06:39.000,2.198.1,565.0,sagemaker,conda-forge/sagemaker-python-sdk,,,"['mxnet', 'tensorflow']",3614.0,3522.0,https://pypi.org/project/sagemaker,2024-02-01 05:06:39.000,92.0,32878347.0,32895204.0,https://anaconda.org/conda-forge/sagemaker-python-sdk,2024-02-01 00:46:59.492,708020.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,, +52,dask.distributed,dask/distributed,distributed-ml,,https://github.com/dask/distributed,https://github.com/dask/distributed,BSD-3-Clause,2015-09-13 18:42:29.000,2024-02-01 12:30:59.000000,2024-02-01 12:30:59,5676.0,98.0,706.0,55.0,4905.0,1469.0,2301.0,1517.0,A distributed task scheduler for Dask.,323.0,40,True,2024-01-26 23:12:42.000,2024.1.1,220.0,distributed,conda-forge/distributed,,,,33848.0,32522.0,https://pypi.org/project/distributed,2024-01-26 23:12:42.000,1326.0,3194087.0,3481456.0,https://anaconda.org/conda-forge/distributed,2024-01-27 00:32:45.552,12931613.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,, +53,OpenAI Gym,openai/gym,reinforcement-learning,,https://github.com/openai/gym,https://github.com/openai/gym,MIT,2016-04-27 14:59:16.000,2023-10-22 22:49:37.000000,2023-01-30 18:15:21,1757.0,,8561.0,1063.0,1449.0,76.0,1716.0,33472.0,A toolkit for developing and comparing reinforcement learning algorithms.,384.0,39,False,2023-07-20 15:30:49.667,0.0.1,108.0,gym,conda-forge/gym,,,,52435.0,49734.0,https://pypi.org/project/gym,2023-07-20 15:30:49.667,2701.0,498344.0,504074.0,https://anaconda.org/conda-forge/gym,2023-06-16 19:18:41.854,263591.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,, +54,MMDetection,open-mmlab/mmdetection,image,,https://github.com/open-mmlab/mmdetection,https://github.com/open-mmlab/mmdetection,Apache-2.0,2018-08-22 07:06:06.000,2024-02-01 02:52:23.000000,2024-01-05 06:10:48,2701.0,19.0,9139.0,372.0,3110.0,1394.0,6620.0,26949.0,OpenMMLab Detection Toolbox and Benchmark.,478.0,39,True,2024-01-05 06:25:30.000,3.3.0,53.0,mmdet,,,,['pytorch'],2177.0,2143.0,https://pypi.org/project/mmdet,2024-01-05 06:25:30.000,34.0,159062.0,159062.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,, +55,Faiss,facebookresearch/faiss,nn-search,,https://github.com/facebookresearch/faiss,https://github.com/facebookresearch/faiss,MIT,2017-02-07 16:07:05.000,2024-02-01 07:35:58.000000,2024-01-31 22:25:13,1001.0,96.0,3285.0,471.0,857.0,422.0,1877.0,26609.0,A library for efficient similarity search and clustering of dense vectors.,150.0,39,True,2024-01-24 02:49:14.000,2.3.6,91.0,pymilvus,conda-forge/faiss,,,,3481.0,3399.0,https://pypi.org/project/pymilvus,2024-01-24 02:49:14.000,82.0,455909.0,478430.0,https://anaconda.org/conda-forge/faiss,2023-06-16 19:19:09.201,1013449.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,, +56,Jina,jina-ai/jina,ml-frameworks,,https://github.com/jina-ai/jina,https://github.com/jina-ai/jina,Apache-2.0,2020-02-13 17:04:44.000,2024-02-01 06:53:56.000000,2024-01-10 17:54:15,8511.0,22.0,2194.0,207.0,4156.0,18.0,1911.0,19646.0,Build multimodal AI applications with cloud-native stack.,176.0,39,True,2023-12-14 15:31:33.000,3.23.2,2454.0,jina,conda-forge/jina-core,jinaai/jina,,,1542.0,1525.0,https://pypi.org/project/jina,2023-12-14 15:28:30.000,17.0,131201.0,160423.0,https://anaconda.org/conda-forge/jina-core,2023-06-16 19:27:18.682,59800.0,https://hub.docker.com/r/jinaai/jina,2024-01-08 08:54:01.226227,8.0,1303688.0,2.0,,,,,,,,,,,,,,,,,,,,, +57,Rasa,RasaHQ/rasa,nlp,,https://github.com/RasaHQ/rasa,https://github.com/RasaHQ/rasa,Apache-2.0,2016-10-14 12:27:49.000,2024-01-29 02:22:08.000000,2023-11-29 14:40:08,32592.0,8.0,4500.0,351.0,6330.0,113.0,6641.0,17554.0,"Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management,..",592.0,39,True,2024-01-19 13:39:29.000,3.6.16,369.0,rasa,,,,['tensorflow'],3986.0,3919.0,https://pypi.org/project/rasa,2024-01-19 13:39:16.000,67.0,171877.0,171877.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,, +58,gensim,RaRe-Technologies/gensim,nlp,,https://github.com/piskvorky/gensim,https://github.com/piskvorky/gensim,LGPL-2.1,2011-02-10 07:43:04.000,2024-01-01 12:37:49.000000,2023-10-01 14:51:00,4509.0,,4375.0,434.0,1685.0,378.0,1444.0,14969.0,Topic Modelling for Humans.,449.0,39,True,2023-08-24 08:48:21.000,4.3.2,93.0,gensim,conda-forge/gensim,,,,58419.0,55246.0,https://pypi.org/project/gensim,2023-08-24 08:48:21.000,3173.0,3927055.0,3961311.0,https://anaconda.org/conda-forge/gensim,2023-08-24 12:30:21.806,1197395.0,,,,,1.0,4553.0,,,piskvorky/gensim,,,,,,,,,,,,,,,,, +59,dgl,dmlc/dgl,graph,,https://github.com/dmlc/dgl,https://github.com/dmlc/dgl,Apache-2.0,2018-04-20 14:49:09.000,2024-02-01 10:28:36.000000,2024-02-01 07:07:30,3909.0,357.0,2942.0,170.0,4492.0,470.0,2203.0,12723.0,"Python package built to ease deep learning on graph, on top of existing DL frameworks.",283.0,39,True,2024-01-12 03:51:43.000,2.0.0,450.0,dgl,,,,,274.0,187.0,https://pypi.org/project/dgl,2024-01-12 03:38:25.000,87.0,66652.0,66652.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,, +60,Theano,Theano/Theano,ml-frameworks,,https://github.com/Theano/Theano,https://github.com/Theano/Theano,BSD-3-Clause,2011-08-10 03:48:06.000,2024-01-15 03:16:24.000000,2024-01-15 03:16:24,28133.0,1.0,2511.0,543.0,4118.0,685.0,2088.0,9839.0,"Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving..",386.0,39,True,2020-07-27 16:13:54.000,1.0.5,45.0,theano,conda-forge/theano,,,,17540.0,14701.0,https://pypi.org/project/theano,2020-07-27 16:13:54.000,2839.0,421581.0,447846.0,https://anaconda.org/conda-forge/theano,2023-06-16 13:23:49.668,2390117.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +61,sktime,alan-turing-institute/sktime,time-series-data,,https://github.com/sktime/sktime,https://github.com/sktime/sktime,BSD-3-Clause,2018-11-06 15:08:24.000,2024-02-01 14:29:12.000000,2024-01-30 04:24:22,4246.0,205.0,1192.0,102.0,3371.0,764.0,1349.0,7185.0,A unified framework for machine learning with time series.,318.0,39,True,2024-01-27 05:22:50.000,0.26.0,61.0,sktime,conda-forge/sktime-all-extras,,,['sklearn'],2207.0,2147.0,https://pypi.org/project/sktime,2024-01-27 05:22:50.000,60.0,714464.0,744427.0,https://anaconda.org/conda-forge/sktime-all-extras,2024-01-27 10:37:50.794,928847.0,,,,,1.0,84.0,,,sktime/sktime,,,,,,,,,,,,,,,,, +62,folium,python-visualization/folium,geospatial-data,,https://github.com/python-visualization/folium,https://github.com/python-visualization/folium,MIT,2013-05-09 04:21:35.000,2024-01-30 14:27:46.000000,2024-01-21 09:56:02,1777.0,29.0,2246.0,164.0,803.0,71.0,989.0,6570.0,Python Data. Leaflet.js Maps.,160.0,39,True,2023-12-04 11:12:36.000,0.15.1,30.0,folium,conda-forge/folium,,,,34332.0,33507.0,https://pypi.org/project/folium,2023-12-04 11:12:36.000,825.0,854951.0,923364.0,https://anaconda.org/conda-forge/folium,2023-12-04 11:42:27.248,2531281.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,, +63,accelerate,huggingface/accelerate,pytorch-utils,,https://github.com/huggingface/accelerate,https://github.com/huggingface/accelerate,Apache-2.0,2020-10-30 13:27:12.000,2024-02-01 14:56:17.000000,2024-02-01 14:56:16,1256.0,116.0,699.0,95.0,1193.0,109.0,1095.0,6433.0,"A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision.",217.0,39,True,2024-01-11 15:26:04.000,0.26.1,39.0,accelerate,conda-forge/accelerate,,,['pytorch'],24763.0,24763.0,https://pypi.org/project/accelerate,,,9076233.0,9079787.0,https://anaconda.org/conda-forge/accelerate,2024-01-11 22:35:05.818,99533.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,, +64,Flax,google/flax,ml-frameworks,,https://github.com/google/flax,https://github.com/google/flax,Apache-2.0,2020-01-10 09:48:37.000,2024-02-01 14:17:49.000000,2024-01-31 18:08:45,4162.0,231.0,584.0,82.0,2176.0,195.0,682.0,5173.0,Flax is a neural network library for JAX that is designed for flexibility.,216.0,39,True,2024-01-23 23:17:29.000,0.8.0,41.0,flax,conda-forge/flax,,,['jax'],6072.0,5863.0,https://pypi.org/project/flax,2024-01-23 23:17:29.000,209.0,3280988.0,3282118.0,https://anaconda.org/conda-forge/flax,2024-01-24 00:15:15.896,39528.0,,,,,2.0,50.0,,,,,,,,,,,,,,,,,,,, +65,PaddleOCR,PaddlePaddle/PaddleOCR,ocr,,https://github.com/PaddlePaddle/PaddleOCR,https://github.com/PaddlePaddle/PaddleOCR,Apache-2.0,2020-05-08 10:38:16.000,2024-01-30 11:51:22.000000,2024-01-24 03:54:03,6127.0,15.0,7076.0,420.0,2822.0,1048.0,7497.0,36241.0,"Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages..",190.0,38,True,2023-10-18 12:32:48.000,2.7.1,40.0,paddleocr,,,,['paddle'],2227.0,2189.0,https://pypi.org/project/paddleocr,2023-09-15 08:35:48.000,38.0,175933.0,175933.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,, +66,Fastai,fastai/fastai,ml-frameworks,,https://github.com/fastai/fastai,https://github.com/fastai/fastai,Apache-2.0,2017-09-09 17:43:36.000,2024-02-01 00:30:31.000000,2024-02-01 00:26:01,2738.0,9.0,7517.0,615.0,2217.0,202.0,1584.0,25148.0,The fastai deep learning library.,665.0,38,True,2024-02-01 00:30:31.000,2.7.14,148.0,fastai,,,,['pytorch'],16403.0,16057.0,https://pypi.org/project/fastai,2024-02-01 00:30:31.000,346.0,410153.0,410153.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +67,PyTorch Geometric,pyg-team/pytorch_geometric,graph,,https://github.com/pyg-team/pytorch_geometric,https://github.com/pyg-team/pytorch_geometric,MIT,2017-10-06 16:03:03.000,2024-02-01 08:37:10.000000,2024-02-01 08:37:09,7348.0,279.0,3484.0,252.0,2793.0,915.0,2544.0,19473.0,Graph Neural Network Library for PyTorch.,481.0,38,True,2023-10-12 08:28:59.000,2.4.0,40.0,torch-geometric,conda-forge/pytorch_geometric,,,['pytorch'],143.0,,https://pypi.org/project/torch-geometric,2023-10-12 08:27:10.000,143.0,242563.0,243400.0,https://anaconda.org/conda-forge/pytorch_geometric,2023-11-08 13:56:02.983,36007.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,, +68,flair,flairNLP/flair,nlp,,https://github.com/flairNLP/flair,https://github.com/flairNLP/flair,MIT,2018-06-11 11:04:18.000,2024-01-30 10:55:31.000000,2024-01-30 10:51:49,5782.0,27.0,2060.0,204.0,1170.0,65.0,2174.0,13381.0,A very simple framework for state-of-the-art Natural Language Processing (NLP).,251.0,38,True,2023-12-18 09:34:55.000,0.13.1,32.0,flair,conda-forge/python-flair,,,['pytorch'],3101.0,3005.0,https://pypi.org/project/flair,2023-12-18 09:34:55.000,96.0,123675.0,124199.0,https://anaconda.org/conda-forge/python-flair,2024-01-05 20:59:40.138,22533.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,, +69,dlib,davisking/dlib,ml-frameworks,,https://github.com/davisking/dlib,https://github.com/davisking/dlib,BSL-1.0,2014-01-29 00:45:33.000,2024-01-28 15:04:12.000000,2024-01-28 15:04:12,8236.0,5.0,3314.0,477.0,684.0,45.0,2124.0,12593.0,A toolkit for making real world machine learning and data analysis applications in C++.,191.0,38,False,2023-06-03 20:05:00.841,19.24.2,36.0,dlib,conda-forge/dlib,,,,25479.0,24678.0,https://pypi.org/project/dlib,2023-06-03 20:05:00.841,801.0,368733.0,383828.0,https://anaconda.org/conda-forge/dlib,2024-01-11 01:14:47.895,653497.0,,,,,2.0,25369.0,,,,,,,,,,,,,,,,,,,, +70,triton,openai/triton,model-serialisation,,https://github.com/openai/triton,https://github.com/openai/triton,MIT,2014-08-30 17:07:16.000,2024-02-01 09:13:33.000000,2024-02-01 03:16:29,1668.0,219.0,1053.0,171.0,1918.0,435.0,591.0,9691.0,Development repository for the Triton language and compiler.,209.0,38,True,2024-01-10 03:11:56.000,2.2.0,192.0,triton,,,,,105.0,21.0,https://pypi.org/project/triton,2024-01-10 03:11:56.000,84.0,8829943.0,8829943.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,, +71,Optuna,optuna/optuna,hyperopt,,https://github.com/optuna/optuna,https://github.com/optuna/optuna,,2018-02-21 06:12:56.000,2024-02-01 14:00:45.000000,2024-01-31 06:16:30,16888.0,133.0,910.0,120.0,3378.0,88.0,1483.0,9188.0,A hyperparameter optimization framework.,256.0,38,False,2023-12-11 05:05:36.000,3.5.0,62.0,optuna,conda-forge/optuna,,,,12599.0,12118.0,https://pypi.org/project/optuna,2023-12-11 05:05:36.000,481.0,2023168.0,2037134.0,https://anaconda.org/conda-forge/optuna,2023-12-11 08:40:18.727,614508.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,, +72,Kornia,kornia/kornia,image,,https://github.com/kornia/kornia,https://github.com/kornia/kornia,Apache-2.0,2018-08-22 10:31:37.000,2024-02-01 13:12:49.000000,2024-01-31 01:00:45,2652.0,56.0,912.0,128.0,1760.0,271.0,618.0,9090.0,Geometric Computer Vision Library for SpatialAI.,247.0,38,True,2023-12-27 11:10:14.000,0.7.1,38.0,kornia,conda-forge/kornia,,,['pytorch'],8335.0,8207.0,https://pypi.org/project/kornia,2023-12-27 11:10:14.000,128.0,2560758.0,2563738.0,https://anaconda.org/conda-forge/kornia,2023-08-04 20:43:55.693,112729.0,,,,,1.0,926.0,,,,,,,,,,,,,,,,,,,, +73,PyCaret,pycaret/pycaret,ml-experiments,,https://github.com/pycaret/pycaret,https://github.com/pycaret/pycaret,MIT,2019-11-23 18:40:48.000,2024-02-01 03:52:00.000000,2024-01-14 09:05:32,5076.0,74.0,1714.0,132.0,974.0,328.0,1910.0,8150.0,"An open-source, low-code machine learning library in Python.",130.0,38,True,2023-11-12 21:46:01.000,3.2.0,95.0,pycaret,conda-forge/pycaret,,,,5070.0,5053.0,https://pypi.org/project/pycaret,2023-11-12 21:44:47.000,17.0,300020.0,301039.0,https://anaconda.org/conda-forge/pycaret,2023-11-16 02:21:22.926,42206.0,,,,,2.0,679.0,,,,,,,,,,,,,,,,,,,, +74,CuPy,cupy/cupy,gpu-utilities,,https://github.com/cupy/cupy,https://github.com/cupy/cupy,MIT,2016-11-01 09:54:45.000,2024-02-01 08:21:11.000000,2024-01-31 05:17:45,28193.0,248.0,738.0,125.0,6051.0,548.0,1612.0,7505.0,NumPy & SciPy for GPU.,356.0,38,True,2024-01-18 05:54:29.000,13.0.0,138.0,cupy,conda-forge/cupy,cupy/cupy,,,2106.0,1896.0,https://pypi.org/project/cupy,2023-12-07 05:15:09.000,210.0,20175.0,96573.0,https://anaconda.org/conda-forge/cupy,2024-01-29 20:31:32.590,3282923.0,https://hub.docker.com/r/cupy/cupy,2024-01-18 05:56:19.967362,11.0,59016.0,1.0,168835.0,12.0,,,,,,,,,,,,,,,,,,, +75,TensorFlow Datasets,tensorflow/datasets,tensorflow-utils,,https://github.com/tensorflow/datasets,https://github.com/tensorflow/datasets,Apache-2.0,2018-09-10 21:27:22.000,2024-02-01 14:58:13.000000,2024-01-31 10:14:36,6156.0,95.0,1505.0,109.0,4141.0,653.0,706.0,4098.0,"TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...",302.0,38,True,2023-12-18 13:28:11.000,4.9.4,37.0,tensorflow-datasets,conda-forge/tensorflow-datasets,,,['tensorflow'],16320.0,16102.0,https://pypi.org/project/tensorflow-datasets,2023-12-18 13:28:06.000,218.0,2575847.0,2576641.0,https://anaconda.org/conda-forge/tensorflow-datasets,2023-06-16 19:25:46.849,26233.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,, +76,Shapely,shapely/shapely,geospatial-data,,https://github.com/shapely/shapely,https://github.com/shapely/shapely,BSD-3-Clause,2011-12-31 19:43:11.000,2024-01-30 08:15:41.000000,2024-01-30 08:15:39,2236.0,10.0,543.0,88.0,788.0,229.0,899.0,3573.0,Manipulation and analysis of geometric objects.,151.0,38,True,2023-10-12 20:37:19.000,2.0.2,121.0,shapely,conda-forge/shapely,,,,62362.0,61018.0,https://pypi.org/project/shapely,2023-10-12 20:37:19.000,1344.0,16764205.0,16974917.0,https://anaconda.org/conda-forge/shapely,2023-11-23 18:52:59.047,8845498.0,,,,,2.0,2941.0,,,,,,,,,,,,,,,,,,,, +77,MNE,mne-tools/mne-python,medical-data,,https://github.com/mne-tools/mne-python,https://github.com/mne-tools/mne-python,BSD-3-Clause,2011-01-28 03:31:13.000,2024-02-01 01:22:39.000000,2024-01-30 20:52:20,17823.0,129.0,1302.0,83.0,7692.0,512.0,4229.0,2455.0,MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python.,361.0,38,True,2024-01-16 18:38:53.000,1.6.1,77.0,mne,conda-forge/mne,,,,3731.0,3438.0,https://pypi.org/project/mne,2024-01-16 18:38:53.000,293.0,103204.0,110902.0,https://anaconda.org/conda-forge/mne,2024-01-16 19:57:33.854,346443.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,, +78,jieba,fxsjy/jieba,chinese-nlp,,https://github.com/fxsjy/jieba,https://github.com/fxsjy/jieba,MIT,2012-09-29 07:52:01.000,2024-01-17 14:24:55.000000,2020-02-15 08:33:35,523.0,,6699.0,1291.0,165.0,662.0,224.0,31954.0,Chinese Words Segmentation Utilities.,49.0,37,False,2020-01-20 14:27:23.000,0.42.1,32.0,jieba,conda-forge/jieba,,,,28022.0,26322.0,https://pypi.org/project/jieba,2020-01-20 14:27:23.000,1700.0,711447.0,713264.0,https://anaconda.org/conda-forge/jieba,2023-06-16 13:21:35.778,149045.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,, +79,PyFlink,apache/flink,ml-frameworks,,https://github.com/apache/flink,https://github.com/apache/flink,Apache-2.0,2014-06-07 07:00:10.000,2024-02-01 14:15:22.000000,2024-02-01 13:02:03,34837.0,651.0,13066.0,944.0,24231.0,1113.0,,22774.0,Apache Flink Python API.,1823.0,37,True,2023-11-28 07:09:06.000,1.16.3,46.0,apache-flink,,,,,45.0,21.0,https://pypi.org/project/apache-flink,2024-01-15 16:28:13.000,24.0,44240.0,44240.0,,,,,,,,2.0,,4.0,,,,,,,,,,,,,,,,,,, +80,MXNet,apache/incubator-mxnet,ml-frameworks,,https://github.com/apache/mxnet,https://github.com/apache/mxnet,Apache-2.0,2015-04-30 16:21:15.000,2023-10-25 21:28:33.000000,2023-01-26 21:28:45,11896.0,,6891.0,1075.0,11124.0,1805.0,7763.0,20684.0,"Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler;..",983.0,37,False,2022-10-24 07:38:03.000,1.9.1,983.0,mxnet,mxnet,,,['mxnet'],7317.0,7018.0,https://pypi.org/project/mxnet,2022-05-17 21:11:13.000,294.0,375349.0,375777.0,https://anaconda.org/anaconda/mxnet,2023-06-16 13:24:22.589,10593.0,,,,,2.0,26559.0,,,apache/mxnet,,,,,,,,,5.0,,,,,,,, +81,pandas-profiling,ydataai/pandas-profiling,data-viz,,https://github.com/ydataai/ydata-profiling,https://github.com/ydataai/ydata-profiling,MIT,2016-01-09 23:47:55.000,2024-02-01 00:43:59.000000,2024-01-18 02:26:18,1371.0,17.0,1616.0,151.0,744.0,203.0,553.0,11779.0,1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.,117.0,37,True,2024-01-08 15:03:46.000,4.6.4,55.0,pandas-profiling,conda-forge/pandas-profiling,,,"['jupyter', 'pandas']",2540.0,2344.0,https://pypi.org/project/pandas-profiling,2023-02-03 17:59:40.571,196.0,551157.0,555791.0,https://anaconda.org/conda-forge/pandas-profiling,2023-06-16 13:22:30.453,417106.0,,,,,2.0,38.0,,,ydataai/ydata-profiling,,,,,,,,,,,,,,,,, +82,glfw,glfw/glfw,image,,https://github.com/glfw/glfw,https://github.com/glfw/glfw,Zlib,2013-04-18 15:24:53.000,2024-01-31 09:05:24.000000,2024-01-30 19:22:10,4726.0,88.0,4777.0,389.0,678.0,612.0,1297.0,11713.0,"A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input.",197.0,37,False,2024-01-24 15:27:39.000,2.6.5,57.0,glfw,conda-forge/glfw,,,,216.0,22.0,https://pypi.org/project/glfw,2024-01-24 15:27:39.000,194.0,238479.0,276904.0,https://anaconda.org/conda-forge/glfw,2023-12-14 03:10:06.213,176555.0,,,,,1.0,3586800.0,,,,,,,,,,,,,,,,,,,, +83,MoviePy,Zulko/moviepy,image,,https://github.com/Zulko/moviepy,https://github.com/Zulko/moviepy,MIT,2013-08-12 09:39:28.000,2024-01-14 15:46:33.000000,2023-07-11 16:23:35,1095.0,,1417.0,254.0,657.0,382.0,1025.0,11391.0,Video editing with Python.,160.0,37,True,2020-05-07 16:29:35.000,1.0.3,14.0,moviepy,conda-forge/moviepy,,,,33676.0,33676.0,https://pypi.org/project/moviepy,,,732665.0,735471.0,https://anaconda.org/conda-forge/moviepy,2023-06-16 13:23:34.876,221717.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,, +84,Tokenizers,huggingface/tokenizers,nlp,,https://github.com/huggingface/tokenizers,https://github.com/huggingface/tokenizers,Apache-2.0,2019-11-01 17:52:20.000,2024-01-26 13:36:43.691000,2024-01-22 16:54:37,1755.0,16.0,686.0,118.0,559.0,202.0,674.0,8085.0,Fast State-of-the-Art Tokenizers optimized for Research and Production.,85.0,37,True,2024-01-22 16:49:29.000,0.15.1,88.0,tokenizers,conda-forge/tokenizers,,,,58970.0,58574.0,https://pypi.org/project/tokenizers,2024-01-22 15:22:00.000,396.0,17282481.0,17315741.0,https://anaconda.org/conda-forge/tokenizers,2024-01-26 13:36:43.691,1430221.0,,,,,1.0,33.0,,,,,,,,,,,,,,,,,,,, +85,espnet,espnet/espnet,audio,,https://github.com/espnet/espnet,https://github.com/espnet/espnet,Apache-2.0,2017-12-13 00:45:11.000,2024-02-01 13:44:32.000000,2024-02-01 10:14:36,20559.0,538.0,2051.0,180.0,3206.0,267.0,2052.0,7587.0,End-to-End Speech Processing Toolkit.,404.0,37,True,2023-10-25 11:52:03.000,.202310,51.0,espnet,,,,,288.0,283.0,https://pypi.org/project/espnet,2023-10-25 11:52:34.000,5.0,18567.0,18568.0,,,,,,,,1.0,79.0,,,,,,,,,,,,,,,,,,,, +86,opencv-python,opencv/opencv-python,image,,https://github.com/opencv/opencv-python,https://github.com/opencv/opencv-python,MIT,2016-04-08 13:36:40.000,2024-01-07 00:32:00.000000,2023-12-31 11:04:55,953.0,21.0,754.0,86.0,201.0,81.0,653.0,3962.0,"Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-..",48.0,37,True,2023-12-31 11:17:16.000,80,72.0,opencv-python,,,,,350745.0,350745.0,https://pypi.org/project/opencv-python,,,12276603.0,12276603.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,, +87,HoloViews,holoviz/holoviews,data-viz,,https://github.com/holoviz/holoviews,https://github.com/holoviz/holoviews,BSD-3-Clause,2014-05-07 16:59:22.000,2024-02-01 12:35:33.000000,2024-01-30 21:20:46,10699.0,58.0,383.0,58.0,2910.0,1059.0,2118.0,2558.0,"With Holoviews, your data visualizes itself.",140.0,37,True,2024-01-15 16:24:19.471,3.0.1,153.0,holoviews,conda-forge/holoviews,,,['jupyter'],9502.0,9221.0,https://pypi.org/project/holoviews,2023-12-14 19:05:36.000,278.0,375097.0,409454.0,https://anaconda.org/conda-forge/holoviews,2023-11-08 21:19:49.170,1483311.0,,,,,2.0,,,,,@pyviz/jupyterlab_pyviz,https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz,2024-01-15 16:24:19.471,3.0,646.0,,,,,,,,,,,, +88,Rasterio,rasterio/rasterio,geospatial-data,,https://github.com/rasterio/rasterio,https://github.com/rasterio/rasterio,BSD-3-Clause,2013-11-04 16:36:27.000,2024-01-25 19:10:46.000000,2024-01-17 02:02:52,3822.0,32.0,518.0,147.0,1128.0,161.0,1615.0,2083.0,Rasterio reads and writes geospatial raster datasets.,155.0,37,True,2023-10-19 14:09:18.000,1.3.9,153.0,rasterio,conda-forge/rasterio,,,,11304.0,10225.0,https://pypi.org/project/rasterio,2023-10-19 14:04:39.000,1079.0,2180339.0,2255478.0,https://anaconda.org/conda-forge/rasterio,2023-12-13 04:52:52.421,2779852.0,,,,,2.0,853.0,,,,,,,,,,,,,,,,,,,, +89,imageio,imageio/imageio,image,,https://github.com/imageio/imageio,https://github.com/imageio/imageio,BSD-2-Clause,2013-05-04 22:56:45.000,2023-12-14 16:43:19.109000,2023-12-11 02:26:35,1519.0,8.0,271.0,32.0,475.0,90.0,489.0,1372.0,Python library for reading and writing image data.,109.0,37,True,2023-12-11 02:26:46.000,2.33.1,64.0,imageio,conda-forge/imageio,,,,114616.0,114616.0,https://pypi.org/project/imageio,,,23440436.0,23580465.0,https://anaconda.org/conda-forge/imageio,2023-12-14 16:43:19.109,6020640.0,,,,,1.0,962.0,,,,,,,,,,,,,,,,,,,, +90,fairseq,facebookresearch/fairseq,nlp,,https://github.com/facebookresearch/fairseq,https://github.com/facebookresearch/fairseq,MIT,2017-08-29 16:26:12.000,2024-01-30 02:22:46.000000,2024-01-24 18:54:38,2320.0,2.0,5972.0,419.0,1325.0,1062.0,3036.0,28605.0,Facebook AI Research Sequence-to-Sequence Toolkit written in Python.,423.0,36,True,2022-06-27 19:32:58.000,0.12.2,16.0,fairseq,conda-forge/fairseq,,,['pytorch'],2639.0,2639.0,https://pypi.org/project/fairseq,,,538854.0,540240.0,https://anaconda.org/conda-forge/fairseq,2023-12-03 20:00:06.516,59427.0,,,,,1.0,326.0,,,,,,,,,,,,,,,,,,,, +91,EasyOCR,JaidedAI/EasyOCR,ocr,,https://github.com/JaidedAI/EasyOCR,https://github.com/JaidedAI/EasyOCR,Apache-2.0,2020-03-14 11:46:39.000,2023-12-16 22:04:09.000000,2023-09-04 11:42:16,615.0,,2899.0,301.0,243.0,348.0,585.0,20951.0,"Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic,..",128.0,36,True,2023-09-04 11:55:27.000,1.7.1,32.0,easyocr,,,,,5097.0,5003.0,https://pypi.org/project/easyocr,2023-09-04 11:55:27.000,94.0,386277.0,578542.0,,,,,,,,1.0,8459690.0,,,,,,,,,,,,,,,,,,,, +92,pyecharts,pyecharts/pyecharts,data-viz,,https://github.com/pyecharts/pyecharts,https://github.com/pyecharts/pyecharts,MIT,2017-06-22 02:50:25.000,2024-01-16 08:10:29.000000,2023-08-21 03:59:26,1627.0,,2878.0,380.0,457.0,9.0,1817.0,14232.0,Python Echarts Plotting Library.,39.0,36,True,2023-08-21 08:24:32.000,2.0.4,72.0,pyecharts,,,https://github.com/pyecharts/pyecharts/blob/master/README.en.md,['jupyter'],4067.0,3815.0,https://pypi.org/project/pyecharts,2023-08-21 03:40:32.000,252.0,98328.0,98328.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +93,carla,carla-simulator/carla,others,,https://github.com/carla-simulator/carla,https://github.com/carla-simulator/carla,MIT,2017-10-24 09:06:23.000,2024-02-01 09:21:04.000000,2023-11-10 11:25:48,6020.0,25.0,3239.0,240.0,1436.0,1014.0,3835.0,10139.0,Open-source simulator for autonomous driving research.,170.0,36,True,2023-11-14 22:51:02.000,0.9.15,26.0,carla,,,,,631.0,624.0,https://pypi.org/project/carla,2023-11-14 22:51:02.000,7.0,16489.0,16489.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,, +94,wordcloud,amueller/word_cloud,data-viz,,https://github.com/amueller/word_cloud,https://github.com/amueller/word_cloud,MIT,2012-11-04 22:57:59.000,2024-01-17 08:31:39.000000,2023-12-09 05:39:53,576.0,12.0,2361.0,223.0,245.0,114.0,416.0,9846.0,A little word cloud generator in Python.,72.0,36,True,2023-12-09 14:04:35.000,1.9.3,20.0,wordcloud,conda-forge/wordcloud,,,,858.0,21.0,https://pypi.org/project/wordcloud,2023-12-09 14:04:35.000,837.0,1333906.0,1344471.0,https://anaconda.org/conda-forge/wordcloud,2023-12-11 13:49:34.986,454312.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +95,PySyft,OpenMined/PySyft,privacy-ml,,https://github.com/OpenMined/PySyft,https://github.com/OpenMined/PySyft,Apache-2.0,2017-07-18 20:41:16.000,2024-02-01 14:33:10.000000,2024-02-01 13:15:54,26499.0,1478.0,1968.0,199.0,4982.0,142.0,3310.0,9126.0,Perform data science on data that remains in someone elses server.,504.0,36,True,2023-12-07 14:07:06.000,0.8.3,242.0,syft,,,,['pytorch'],6.0,1.0,https://pypi.org/project/syft,2024-01-31 04:56:52.000,5.0,5786.0,5828.0,,,,,,,,1.0,2070.0,,,,,,,,,,,,,,,,,,,, +96,deepface,serengil/deepface,image,,https://github.com/serengil/deepface,https://github.com/serengil/deepface,MIT,2020-02-08 20:42:28.000,2024-02-01 05:17:08.000000,2024-01-31 23:49:57,1196.0,100.0,1661.0,127.0,122.0,5.0,866.0,9074.0,"A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python.",53.0,36,True,2024-01-26 21:01:20.000,0.0.83,3.0,deepface,,,,,2498.0,2498.0,https://pypi.org/project/deepface,,,174014.0,174014.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +97,sentencepiece,google/sentencepiece,nlp,,https://github.com/google/sentencepiece,https://github.com/google/sentencepiece,Apache-2.0,2017-03-07 10:03:48.000,2024-01-28 16:17:21.000000,2024-01-28 16:17:08,919.0,35.0,1040.0,123.0,269.0,34.0,663.0,8910.0,Unsupervised text tokenizer for Neural Network-based text generation.,82.0,36,True,2023-05-02 04:26:07.683,0.1.99,34.0,sentencepiece,conda-forge/sentencepiece,,,,54589.0,53614.0,https://pypi.org/project/sentencepiece,2023-05-02 04:26:07.683,975.0,11717698.0,11734693.0,https://anaconda.org/conda-forge/sentencepiece,2024-01-23 02:02:02.802,709136.0,,,,,1.0,33325.0,,,,,,,,,,,,,,,,,,,, +98,speechbrain,speechbrain/speechbrain,audio,,https://github.com/speechbrain/speechbrain,https://github.com/speechbrain/speechbrain,Apache-2.0,2020-04-28 17:48:45.000,2024-01-31 16:42:38.000000,2024-01-29 14:17:15,9629.0,42.0,1218.0,123.0,1091.0,151.0,907.0,7192.0,A PyTorch-based Speech Toolkit.,226.0,36,True,2023-11-22 02:29:10.000,0.5.16,15.0,speechbrain,,,,['pytorch'],1481.0,1457.0,https://pypi.org/project/speechbrain,2023-11-22 02:29:10.000,24.0,178256.0,178256.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,, +99,imbalanced-learn,scikit-learn-contrib/imbalanced-learn,sklearn-utils,,https://github.com/scikit-learn-contrib/imbalanced-learn,https://github.com/scikit-learn-contrib/imbalanced-learn,MIT,2014-08-16 05:08:26.000,2024-01-24 19:39:53.672000,2024-01-24 13:04:18,855.0,7.0,1275.0,140.0,491.0,39.0,546.0,6624.0,A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning.,81.0,36,True,2024-01-24 19:22:58.000,0.12.0,34.0,imbalanced-learn,conda-forge/imbalanced-learn,,,['sklearn'],24295.0,23937.0,https://pypi.org/project/imbalanced-learn,2024-01-24 19:14:48.000,358.0,9073722.0,9085585.0,https://anaconda.org/conda-forge/imbalanced-learn,2024-01-24 19:39:53.672,521991.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,, +100,BentoML,bentoml/BentoML,model-serialisation,,https://github.com/bentoml/BentoML,https://github.com/bentoml/BentoML,Apache-2.0,2019-04-02 01:39:27.000,2024-02-01 11:34:40.000000,2024-02-01 11:34:39,2903.0,224.0,711.0,71.0,3253.0,206.0,790.0,6235.0,Build Production-Grade AI Applications.,195.0,36,True,2023-12-28 21:36:24.000,1.1.11,129.0,bentoml,,,,,1500.0,1487.0,https://pypi.org/project/bentoml,2024-01-31 13:49:16.000,13.0,74344.0,74380.0,,,,,,,,2.0,2052.0,,,,,,,,,,,,,,,,,,,, +101,MONAI,Project-MONAI/MONAI,medical-data,,https://github.com/Project-MONAI/MONAI,https://github.com/Project-MONAI/MONAI,Apache-2.0,2019-10-11 16:41:38.000,2024-02-01 13:53:49.000000,2024-02-01 13:53:01,2945.0,44.0,923.0,93.0,3209.0,269.0,2593.0,5023.0,AI Toolkit for Healthcare Imaging.,177.0,36,True,2023-10-12 17:37:33.000,1.3.0,77.0,monai,conda-forge/monai,,,['pytorch'],1819.0,1767.0,https://pypi.org/project/monai,2023-10-12 17:09:21.000,52.0,124520.0,125325.0,https://anaconda.org/conda-forge/monai,2023-10-12 17:35:33.024,20953.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,, +102,litellm,BerriAI/litellm,nlp,,https://github.com/BerriAI/litellm,https://github.com/BerriAI/litellm,MIT,2023-07-27 00:09:52.000,2024-02-01 14:56:38.000000,2024-02-01 05:04:03,6465.0,3600.0,486.0,42.0,379.0,250.0,1095.0,4970.0,"Call all LLM APIs using the OpenAI format. Use Bedrock, Azure, OpenAI, Cohere, Anthropic, Ollama, Sagemaker,..",111.0,36,True,2024-02-01 05:13:22.000,1.20.9,554.0,litellm,,,,others,891.0,831.0,https://pypi.org/project/litellm,2024-02-01 05:10:38.000,60.0,259923.0,259923.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,, +103,DeepChem,deepchem/deepchem,others,,https://github.com/deepchem/deepchem,https://github.com/deepchem/deepchem,MIT,2015-09-24 23:20:28.000,2024-02-01 13:07:52.000000,2024-01-31 17:36:05,10108.0,501.0,1564.0,146.0,2160.0,551.0,1216.0,4888.0,"Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology.",235.0,36,True,2022-12-01 14:00:47.111,2.7.1,798.0,deepchem,conda-forge/deepchem,,,['tensorflow'],318.0,306.0,https://pypi.org/project/deepchem,2024-01-31 19:29:24.000,12.0,16698.0,18883.0,https://anaconda.org/conda-forge/deepchem,2023-06-16 19:18:02.015,104914.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,, +104,BigDL,intel-analytics/BigDL,distributed-ml,,https://github.com/intel-analytics/BigDL,https://github.com/intel-analytics/BigDL,Apache-2.0,2016-08-29 07:59:50.000,2024-02-01 14:26:04.000000,2024-02-01 07:45:39,21178.0,478.0,1179.0,241.0,8002.0,964.0,1347.0,4745.0,Accelerate LLM with low-bit (FP4 / INT4 / FP8 / INT8) optimizations using bigdl-llm.,195.0,36,True,2023-11-13 02:02:20.000,2.4.0,823.0,bigdl,,,,,52.0,47.0,https://pypi.org/project/bigdl,2024-02-01 14:04:17.000,1.0,3756.0,3758.0,,,,,,,,2.0,208.0,,,,,,,,,,,,,com.intel.analytics.bigdl:bigdl-SPARK_2.4,https://search.maven.org/artifact/com.intel.analytics.bigdl/bigdl-SPARK_2.4,2021-04-20 01:33:14,4.0,,,, +105,tensorflow-probability,tensorflow/probability,probabilistics,,https://github.com/tensorflow/probability,https://github.com/tensorflow/probability,Apache-2.0,2017-10-23 23:50:54.000,2024-01-31 19:44:50.000000,2024-01-31 19:44:48,12044.0,38.0,1088.0,166.0,462.0,653.0,741.0,4033.0,Probabilistic reasoning and statistical analysis in TensorFlow.,487.0,36,True,2023-11-20 23:32:05.000,0.23.0,51.0,tensorflow-probability,conda-forge/tensorflow-probability,,,['tensorflow'],455.0,,https://pypi.org/project/tensorflow-probability,2023-11-20 23:21:06.000,455.0,2520097.0,2523433.0,https://anaconda.org/conda-forge/tensorflow-probability,2024-01-09 01:12:57.968,120120.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,, +106,plotnine,has2k1/plotnine,data-viz,,https://github.com/has2k1/plotnine,https://github.com/has2k1/plotnine,MIT,2017-04-24 19:00:44.000,2024-01-12 09:38:25.000000,2024-01-12 09:25:57,2151.0,152.0,207.0,65.0,131.0,73.0,527.0,3722.0,A Grammar of Graphics for Python.,105.0,36,True,2023-11-06 11:06:44.000,0.12.4,20.0,plotnine,conda-forge/plotnine,,,,6994.0,6722.0,https://pypi.org/project/plotnine,2023-11-06 11:02:10.000,272.0,2380086.0,2387667.0,https://anaconda.org/conda-forge/plotnine,2023-11-06 12:55:06.721,333606.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +107,spark-nlp,JohnSnowLabs/spark-nlp,nlp,,https://github.com/JohnSnowLabs/spark-nlp,https://github.com/JohnSnowLabs/spark-nlp,Apache-2.0,2017-09-24 19:36:44.000,2024-02-01 12:17:55.000000,2024-01-18 22:05:19,8438.0,63.0,694.0,98.0,13125.0,44.0,808.0,3593.0,State of the Art Natural Language Processing.,111.0,36,True,2024-01-18 22:07:14.000,5.2.3,137.0,spark-nlp,,,,['spark'],419.0,387.0,https://pypi.org/project/spark-nlp,2024-01-18 21:34:39.000,32.0,3808187.0,3808187.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,, +108,arviz,arviz-devs/arviz,interpretability,,https://github.com/arviz-devs/arviz,https://github.com/arviz-devs/arviz,Apache-2.0,2015-07-29 11:51:10.000,2024-01-25 15:01:43.000000,2023-12-27 16:34:55,1522.0,12.0,366.0,48.0,1467.0,164.0,671.0,1487.0,Exploratory analysis of Bayesian models with Python.,152.0,36,True,2023-12-27 16:22:43.000,0.17.0,35.0,arviz,conda-forge/arviz,,,,5853.0,5686.0,https://pypi.org/project/arviz,2023-12-27 16:22:43.000,167.0,1718064.0,1763977.0,https://anaconda.org/conda-forge/arviz,2023-12-28 12:43:24.180,2065997.0,,,,,1.0,133.0,,,,,,,,,,,,,,,,,,,, +109,huggingface_hub,huggingface/huggingface_hub,model-serialisation,,https://github.com/huggingface/huggingface_hub,https://github.com/huggingface/huggingface_hub,Apache-2.0,2020-12-22 10:20:28.000,2024-01-30 22:56:29.000000,2024-01-26 14:35:27,1269.0,113.0,362.0,57.0,1193.0,115.0,594.0,1480.0,The official Python client for the Huggingface Hub.,132.0,36,True,2024-01-22 08:58:25.000,0.20.3,95.0,huggingface_hub,conda-forge/huggingface_hub,,,,625.0,,https://pypi.org/project/huggingface_hub,2024-01-22 08:53:21.000,625.0,24740400.0,24783431.0,https://anaconda.org/conda-forge/huggingface_hub,2024-01-05 19:52:22.775,1549144.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +110,Wand,emcconville/wand,image,,https://github.com/emcconville/wand,https://github.com/emcconville/wand,MIT,2011-09-30 21:36:38.000,2024-01-16 13:52:48.000000,2024-01-16 13:52:43,1849.0,13.0,199.0,31.0,210.0,22.0,390.0,1343.0,The ctypes-based simple ImageMagick binding for Python.,104.0,36,True,2023-11-04 01:41:17.000,0.6.13,56.0,wand,conda-forge/wand,,,,18822.0,18106.0,https://pypi.org/project/wand,2023-11-03 23:18:50.000,716.0,931846.0,933160.0,https://anaconda.org/conda-forge/wand,2023-06-16 16:16:46.218,36730.0,,,,,2.0,39958.0,,,,,,,,,,,,,,,,,,,, +111,Fiona,Toblerity/Fiona,geospatial-data,,https://github.com/Toblerity/Fiona,https://github.com/Toblerity/Fiona,BSD-3-Clause,2011-12-31 19:47:00.000,2024-01-16 19:22:05.000000,2024-01-16 19:22:02,1473.0,6.0,209.0,47.0,527.0,33.0,732.0,1101.0,Fiona reads and writes geographic data files.,72.0,36,True,2023-10-12 19:29:21.000,1.9.5,108.0,fiona,conda-forge/fiona,,,,17664.0,17584.0,https://pypi.org/project/fiona,2023-10-12 19:16:01.000,80.0,5953079.0,6074510.0,https://anaconda.org/conda-forge/fiona,2024-01-01 18:20:39.698,5221566.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +112,Coqui TTS,coqui-ai/TTS,audio,,https://github.com/coqui-ai/TTS,https://github.com/coqui-ai/TTS,MPL-2.0,2020-05-20 15:45:28.000,2024-01-30 06:15:26.000000,2023-12-27 16:23:43,4667.0,150.0,2981.0,249.0,707.0,86.0,882.0,26354.0,"- a deep learning toolkit for Text-to-Speech, battle-tested in research and production.",163.0,35,True,2023-12-12 15:27:06.000,0.22.0,98.0,tts,conda-forge/tts,,,"['pytorch', 'tensorflow']",24.0,,https://pypi.org/project/tts,2023-12-12 15:27:06.000,24.0,143070.0,197726.0,https://anaconda.org/conda-forge/tts,2023-06-16 19:27:41.222,10329.0,,,,,1.0,1900110.0,,,,,,,,,,,,,,,,,,,, +113,fastText,facebookresearch/fastText,nlp,,https://github.com/facebookresearch/fastText,https://github.com/facebookresearch/fastText,MIT,2016-07-16 13:38:42.000,2024-01-22 08:36:53.000000,2024-01-09 17:24:35,389.0,3.0,4645.0,848.0,265.0,543.0,611.0,25387.0,Library for fast text representation and classification.,68.0,35,True,2020-04-28 09:54:50.000,0.9.2,36.0,fasttext,conda-forge/fasttext,,,,5741.0,5516.0,https://pypi.org/project/fasttext,2020-04-28 09:54:50.000,225.0,956262.0,958068.0,https://anaconda.org/conda-forge/fasttext,2023-09-26 23:15:16.887,74067.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +114,InsightFace,deepinsight/insightface,image,,https://github.com/deepinsight/insightface,https://github.com/deepinsight/insightface,MIT,2017-09-01 00:36:51.000,2023-12-24 05:29:03.000000,2023-12-24 05:29:03,2283.0,2.0,5013.0,501.0,152.0,1032.0,1350.0,20197.0,State-of-the-art 2D and 3D Face Analysis Project.,58.0,35,True,2023-04-02 08:03:01.222,0.7.3,28.0,insightface,,,,['mxnet'],1597.0,1586.0,https://pypi.org/project/insightface,2022-12-17 02:14:00.699,11.0,545597.0,716597.0,,,,,,,,2.0,1710002.0,,,,,,,,,,,,,,,,,,,, +115,Recommenders,microsoft/recommenders,recommender-systems,,https://github.com/recommenders-team/recommenders,https://github.com/recommenders-team/recommenders,MIT,2018-09-19 10:06:07.000,2024-01-31 21:26:49.000000,2024-01-30 09:34:31,8771.0,87.0,2903.0,270.0,1222.0,165.0,656.0,17494.0,Best Practices on Recommendation Systems.,129.0,35,True,2022-07-20 05:58:55.000,1.1.1,12.0,recommenders,,,,,102.0,102.0,https://pypi.org/project/recommenders,,,60205.0,60212.0,,,,,,,,1.0,467.0,,,recommenders-team/recommenders,,,,,,,,,,,,,,,,, +116,Prophet,facebook/prophet,time-series-data,,https://github.com/facebook/prophet,https://github.com/facebook/prophet,MIT,2016-11-16 01:50:08.000,2024-01-05 10:31:39.000000,2023-10-18 07:33:05,791.0,,4457.0,425.0,438.0,365.0,1723.0,17422.0,Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear..,173.0,35,True,2023-10-10 12:57:04.000,1.1.5,16.0,fbprophet,conda-forge/prophet,,,,149.0,21.0,https://pypi.org/project/fbprophet,2020-09-05 16:12:50.000,128.0,795026.0,828297.0,https://anaconda.org/conda-forge/prophet,2023-10-20 01:36:39.935,1130306.0,,,,,1.0,2311.0,,,,,,,,,,,,,,,,,,,, +117,imgaug,aleju/imgaug,image,,https://github.com/aleju/imgaug,https://github.com/aleju/imgaug,MIT,2015-07-10 20:31:33.000,2023-07-26 09:00:34.000000,2020-06-01 14:58:26,2913.0,,2373.0,232.0,336.0,282.0,223.0,14002.0,Image augmentation for machine learning experiments.,36.0,35,False,2020-02-06 06:18:40.000,0.4.0,3.0,imgaug,conda-forge/imgaug,,,,18211.0,18211.0,https://pypi.org/project/imgaug,,,334165.0,336841.0,https://anaconda.org/conda-forge/imgaug,2023-06-16 16:15:24.882,149899.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +118,ivy,unifyai/ivy,ml-frameworks,,https://github.com/unifyai/ivy,https://github.com/unifyai/ivy,Apache-2.0,2021-01-19 08:37:25.000,2024-02-01 12:55:04.000000,2024-02-01 12:55:04,17589.0,606.0,5971.0,69.0,11393.0,1210.0,15626.0,13921.0,The Unified AI Framework.,1452.0,35,True,2023-06-29 19:33:01.167,0.0.0,108.0,ivy,,,,,9.0,,https://pypi.org/project/ivy,2024-01-22 13:20:33.000,9.0,1757.0,1757.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +119,Albumentations,albumentations-team/albumentations,image,,https://github.com/albumentations-team/albumentations,https://github.com/albumentations-team/albumentations,MIT,2018-06-06 03:10:50.000,2023-12-24 05:29:22.000000,2023-12-07 06:42:43,786.0,5.0,1541.0,131.0,663.0,372.0,438.0,13057.0,Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation:..,133.0,35,True,2023-06-10 07:46:02.827,1.3.1,53.0,albumentations,conda-forge/albumentations,,,['pytorch'],20836.0,20491.0,https://pypi.org/project/albumentations,2023-06-10 07:46:02.827,345.0,1103150.0,1105840.0,https://anaconda.org/conda-forge/albumentations,2023-06-12 13:29:26.010,150644.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +120,haystack,deepset-ai/haystack,nlp,,https://github.com/deepset-ai/haystack,https://github.com/deepset-ai/haystack,Apache-2.0,2019-11-14 09:05:28.000,2024-02-01 14:51:55.000000,2024-02-01 11:50:11,3059.0,309.0,1547.0,120.0,3276.0,355.0,2537.0,12555.0,"LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models,..",227.0,35,True,2024-01-25 16:17:51.000,1.24.0,77.0,haystack,,,,,183.0,96.0,https://pypi.org/project/haystack,2021-12-15 14:01:39.322,87.0,2568.0,2568.0,,,,,,,,2.0,23.0,,,,,,,,,,,,,,,,,,,, +121,AllenNLP,allenai/allennlp,nlp,,https://github.com/allenai/allennlp,https://github.com/allenai/allennlp,Apache-2.0,2017-05-15 15:52:41.000,2023-06-16 16:12:37.768000,2022-11-22 00:42:46,2719.0,,2175.0,284.0,3096.0,80.0,2477.0,11639.0,"An open-source NLP research library, built on PyTorch.",267.0,35,False,2022-10-18 23:32:24.000,2.10.1,59.0,allennlp,conda-forge/allennlp,,,['pytorch'],3907.0,3907.0,https://pypi.org/project/allennlp,,,49270.0,51197.0,https://anaconda.org/conda-forge/allennlp,2023-06-16 16:12:37.768,119478.0,,,,,2.0,62.0,,,,,,,,,,,,,,,,,,,, +122,Ludwig,ludwig-ai/ludwig,ml-frameworks,,https://github.com/ludwig-ai/ludwig,https://github.com/ludwig-ai/ludwig,Apache-2.0,2018-12-27 23:58:12.000,2024-01-30 23:43:40.000000,2024-01-29 19:44:44,3817.0,100.0,1152.0,191.0,2808.0,338.0,751.0,10481.0,"Low-code framework for building custom LLMs, neural networks, and other AI models.",152.0,35,True,2024-01-23 04:11:07.000,0.9.3,51.0,ludwig,,,,['tensorflow'],245.0,236.0,https://pypi.org/project/ludwig,2024-01-23 04:11:07.000,9.0,4128.0,4128.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +123,NeMo,NVIDIA/NeMo,nlp,,https://github.com/NVIDIA/NeMo,https://github.com/NVIDIA/NeMo,Apache-2.0,2019-08-05 20:16:42.000,2024-02-01 14:22:27.000000,2024-01-31 23:33:47,6081.0,153.0,1898.0,182.0,5775.0,52.0,1864.0,9116.0,NeMo: a toolkit for conversational AI.,272.0,35,True,2024-01-11 02:04:18.000,1.22.0,46.0,nemo-toolkit,,,,['pytorch'],21.0,21.0,https://pypi.org/project/nemo-toolkit,,,45960.0,47114.0,,,,,,,,2.0,61194.0,,,,,,,,,,,,,,,,,,,, +124,TextBlob,sloria/TextBlob,nlp,,https://github.com/sloria/TextBlob,https://github.com/sloria/TextBlob,MIT,2013-06-30 18:29:18.000,2023-06-16 13:22:54.304000,2023-03-11 18:17:15,563.0,,1123.0,267.0,156.0,113.0,155.0,8831.0,"Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation,..",36.0,35,True,2021-10-22 03:18:24.000,0.17.1,59.0,textblob,conda-forge/textblob,,,,37039.0,35608.0,https://pypi.org/project/textblob,2021-10-22 03:18:24.000,1431.0,561037.0,563722.0,https://anaconda.org/conda-forge/textblob,2023-06-16 13:22:54.304,241699.0,,,,,2.0,113.0,,,,,,,,,,,,,,,,,,,, +125,Pydub,jiaaro/pydub,audio,,https://github.com/jiaaro/pydub,https://github.com/jiaaro/pydub,MIT,2011-05-02 18:42:38.000,2024-01-24 09:40:52.000000,2022-12-08 17:49:19,746.0,,971.0,136.0,221.0,320.0,270.0,8112.0,Manipulate audio with a simple and easy high level interface.,95.0,35,False,2021-03-10 02:10:41.000,0.25.1,68.0,pydub,conda-forge/pydub,,,,49970.0,48665.0,https://pypi.org/project/pydub,2021-03-10 02:09:53.000,1305.0,3559909.0,3561204.0,https://anaconda.org/conda-forge/pydub,2023-06-16 16:12:25.533,80319.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,, +126,PyOD,yzhao062/pyod,others,,https://github.com/yzhao062/pyod,https://github.com/yzhao062/pyod,BSD-2-Clause,2017-10-03 20:29:04.000,2023-12-23 11:40:18.000000,2023-12-16 05:36:44,1721.0,16.0,1295.0,149.0,207.0,188.0,144.0,7772.0,A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection).,49.0,35,True,2023-11-18 08:45:46.000,1.1.2,90.0,pyod,conda-forge/pyod,,,,3299.0,3235.0,https://pypi.org/project/pyod,2023-11-18 08:43:48.000,64.0,654077.0,656072.0,https://anaconda.org/conda-forge/pyod,2023-11-18 09:26:18.014,89814.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,, +127,einops,arogozhnikov/einops,ml-frameworks,,https://github.com/arogozhnikov/einops,https://github.com/arogozhnikov/einops,MIT,2018-09-22 00:45:08.000,2024-01-29 14:48:35.000000,2024-01-11 07:31:03,668.0,11.0,329.0,70.0,107.0,32.0,134.0,7620.0,"Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others).",26.0,35,True,2023-10-01 01:13:46.000,0.7.0,14.0,einops,conda-forge/einops,,,,26356.0,25488.0,https://pypi.org/project/einops,2023-10-01 01:13:46.000,868.0,7023974.0,7028493.0,https://anaconda.org/conda-forge/einops,2023-10-01 10:01:09.036,180788.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +128,Ignite,pytorch/ignite,ml-frameworks,,https://github.com/pytorch/ignite,https://github.com/pytorch/ignite,BSD-3-Clause,2017-11-23 17:31:21.000,2024-02-01 00:13:47.000000,2024-01-11 12:13:07,1654.0,13.0,615.0,60.0,1796.0,155.0,1246.0,4419.0,High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.,406.0,35,True,2023-10-19 08:24:46.000,0.4.13,1522.0,pytorch-ignite,pytorch/ignite,,,['pytorch'],2695.0,2645.0,https://pypi.org/project/pytorch-ignite,2024-02-01 00:13:47.000,50.0,310017.0,312572.0,https://anaconda.org/pytorch/ignite,2023-10-19 08:25:55.130,173782.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +129,geopy,geopy/geopy,geospatial-data,,https://github.com/geopy/geopy,https://github.com/geopy/geopy,MIT,2010-03-04 22:05:28.000,2024-01-02 16:59:03.000000,2023-11-23 21:41:49,1136.0,6.0,661.0,90.0,269.0,32.0,252.0,4190.0,Geocoding library for Python.,133.0,35,True,2023-11-23 21:50:14.000,2.4.1,61.0,geopy,conda-forge/geopy,,,,4066.0,,https://pypi.org/project/geopy,2023-11-23 21:49:30.000,4066.0,4703186.0,4731620.0,https://anaconda.org/conda-forge/geopy,2023-11-24 00:10:43.371,1251138.0,,,,,2.0,16.0,,,,,,,,,,,,,,,,,,,, +130,TorchServe,pytorch/serve,model-serialisation,,https://github.com/pytorch/serve,https://github.com/pytorch/serve,Apache-2.0,2019-10-03 03:17:43.000,2024-02-01 14:40:23.000000,2024-01-31 06:26:53,3654.0,73.0,790.0,57.0,1411.0,331.0,1193.0,3871.0,"Serve, optimize and scale PyTorch models in production.",184.0,35,True,2023-10-13 00:21:43.000,0.9.0,22.0,torchserve,pytorch/torchserve,pytorch/torchserve,,['pytorch'],613.0,597.0,https://pypi.org/project/torchserve,2023-10-12 22:01:55.000,16.0,37209.0,64119.0,https://anaconda.org/pytorch/torchserve,2023-10-12 22:01:52.717,149854.0,https://hub.docker.com/r/pytorch/torchserve,2023-10-12 22:44:52.307587,22.0,1223810.0,2.0,5517.0,,,,,,,,,,,,,,,,,,,, +131,PyQtGraph,pyqtgraph/pyqtgraph,data-viz,,https://github.com/pyqtgraph/pyqtgraph,https://github.com/pyqtgraph/pyqtgraph,MIT,2013-09-12 07:18:21.000,2024-02-01 13:43:30.000000,2024-01-17 20:31:21,3876.0,42.0,1025.0,153.0,1572.0,357.0,863.0,3574.0,Fast data visualization and GUI tools for scientific / engineering applications.,267.0,35,True,2023-04-14 21:33:03.621,0.13.3,21.0,pyqtgraph,conda-forge/pyqtgraph,,,,9706.0,8737.0,https://pypi.org/project/pyqtgraph,2023-04-14 21:33:03.621,969.0,140417.0,146311.0,https://anaconda.org/conda-forge/pyqtgraph,2023-06-16 13:19:32.302,501055.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +132,VisPy,vispy/vispy,data-viz,,https://github.com/vispy/vispy,https://github.com/vispy/vispy,BSD-3-Clause,2013-03-21 18:43:22.000,2024-01-29 15:04:04.000000,2024-01-29 15:04:02,7354.0,33.0,606.0,117.0,1157.0,323.0,1104.0,3179.0,High-performance interactive 2D/3D data visualization library.,192.0,35,True,2023-10-03 22:23:12.000,0.14.1,37.0,vispy,conda-forge/vispy,,,['jupyter'],1540.0,1399.0,https://pypi.org/project/vispy,2023-10-03 22:13:28.000,139.0,63648.0,74720.0,https://anaconda.org/conda-forge/vispy,2023-10-04 03:59:45.400,453692.0,,,,,2.0,,,,,vispy,https://www.npmjs.com/package/vispy,2020-03-15 14:39:41.516,2.0,7.0,,,,,,,,,,,, +133,Thinc,explosion/thinc,ml-frameworks,,https://github.com/explosion/thinc,https://github.com/explosion/thinc,MIT,2014-10-16 16:34:59.000,2024-01-16 13:18:17.000000,2024-01-16 10:34:48,5269.0,7.0,284.0,80.0,777.0,16.0,123.0,2774.0,"A refreshing functional take on deep learning, compatible with your favorite libraries.",63.0,35,True,2023-12-14 15:50:47.000,8.2.2,231.0,thinc,conda-forge/thinc,,,,42776.0,42138.0,https://pypi.org/project/thinc,2024-01-16 13:18:17.000,638.0,5622617.0,5682622.0,https://anaconda.org/conda-forge/thinc,2023-12-29 09:50:56.118,2700232.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +134,PyVista,pyvista/pyvista,data-viz,,https://github.com/pyvista/pyvista,https://github.com/pyvista/pyvista,MIT,2017-05-31 18:01:42.000,2024-02-01 14:03:37.000000,2024-02-01 10:47:13,4077.0,169.0,407.0,35.0,2903.0,451.0,1031.0,2174.0,3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK).,154.0,35,True,2024-01-14 08:52:49.000,0.43.2,87.0,pyvista,conda-forge/pyvista,,,['jupyter'],2835.0,2581.0,https://pypi.org/project/pyvista,2024-01-14 08:52:49.000,254.0,251336.0,261290.0,https://anaconda.org/conda-forge/pyvista,2024-01-14 09:37:36.376,437559.0,,,,,2.0,791.0,,,,,,,,,,,,,,,,,,,, +135,snakemake,snakemake/snakemake,ml-experiments,,https://github.com/snakemake/snakemake,https://github.com/snakemake/snakemake,MIT,2015-10-17 15:43:54.867,2024-02-01 09:34:58.000000,2024-02-01 09:33:54,5039.0,168.0,497.0,21.0,1158.0,976.0,597.0,2031.0,"This is the development home of the workflow management system Snakemake. For general information, see.",315.0,35,True,2024-01-30 17:36:17.000,8.4.2,301.0,snakemake,bioconda/snakemake,,,,2116.0,1853.0,https://pypi.org/project/snakemake,2024-01-30 17:36:17.000,263.0,108831.0,118445.0,https://anaconda.org/bioconda/snakemake,2024-01-30 21:28:14.396,961429.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +136,metrics,Lightning-AI/metrics,distributed-ml,,https://github.com/Lightning-AI/torchmetrics,https://github.com/Lightning-AI/torchmetrics,Apache-2.0,2020-12-22 20:02:42.000,2024-01-31 18:09:41.000000,2024-01-30 12:13:24,1633.0,85.0,346.0,26.0,1359.0,67.0,700.0,1805.0,"Torchmetrics - Machine learning metrics for distributed, scalable PyTorch applications.",222.0,35,True,2024-01-30 10:36:04.000,1.3.0.post0,42.0,metrics,conda-forge/torchmetrics,,,['pytorch'],20150.0,20137.0,https://pypi.org/project/metrics,2018-04-28 10:58:56.000,13.0,2725.0,37410.0,https://anaconda.org/conda-forge/torchmetrics,2023-12-01 20:39:28.126,1209356.0,,,,,2.0,4654.0,,,Lightning-AI/torchmetrics,,,,,,,,,,,,,,,,, +137,TF Addons,tensorflow/addons,tensorflow-utils,,https://github.com/tensorflow/addons,https://github.com/tensorflow/addons,Apache-2.0,2018-11-26 23:57:17.000,2023-12-13 04:29:28.000000,2023-12-13 04:29:27,1518.0,3.0,612.0,58.0,1880.0,87.0,895.0,1680.0,Useful extra functionality for TensorFlow 2.x maintained by SIG-addons.,207.0,35,True,2023-11-28 01:45:31.000,0.23.0,38.0,tensorflow-addons,,,,['tensorflow'],14172.0,13947.0,https://pypi.org/project/tensorflow-addons,2023-11-28 01:45:31.000,225.0,805987.0,805987.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,, +138,scikit-learn-intelex,intel/scikit-learn-intelex,sklearn-utils,,https://github.com/intel/scikit-learn-intelex,https://github.com/intel/scikit-learn-intelex,Apache-2.0,2018-08-07 06:45:41.000,2024-02-01 14:34:03.000000,2024-02-01 08:24:51,1558.0,76.0,155.0,31.0,1433.0,41.0,172.0,1119.0,Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application.,77.0,35,True,2024-01-24 21:51:51.000,2024.1.0,24.0,scikit-learn-intelex,conda-forge/scikit-learn-intelex,,,['sklearn'],9463.0,9463.0,https://pypi.org/project/scikit-learn-intelex,,,170416.0,177340.0,https://anaconda.org/conda-forge/scikit-learn-intelex,2024-01-25 17:59:16.547,235440.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,, +139,Nilearn,nilearn/nilearn,medical-data,,https://github.com/nilearn/nilearn,https://github.com/nilearn/nilearn,BSD-3-Clause,2011-01-09 19:02:23.000,2024-02-01 11:56:07.000000,2024-02-01 08:18:51,10210.0,105.0,540.0,70.0,2312.0,296.0,1705.0,1078.0,Machine learning for NeuroImaging in Python.,233.0,35,True,2024-01-29 09:22:59.000,0.10.3,46.0,nilearn,conda-forge/nilearn,,,['sklearn'],3139.0,2845.0,https://pypi.org/project/nilearn,2024-01-29 09:31:15.000,294.0,49356.0,55988.0,https://anaconda.org/conda-forge/nilearn,2024-01-29 13:01:39.700,258502.0,,,,,2.0,151.0,,,,,,,,,,,,,,,,,,,, +140,pyproj,pyproj4/pyproj,geospatial-data,,https://github.com/pyproj4/pyproj,https://github.com/pyproj4/pyproj,MIT,2014-12-29 21:38:25.000,2024-01-29 20:15:11.000000,2024-01-23 16:39:24,1528.0,3.0,211.0,33.0,672.0,31.0,567.0,960.0,Python interface to PROJ (cartographic projections and coordinate transformations library).,65.0,35,True,2023-09-21 02:07:12.000,3.6.1,61.0,pyproj,conda-forge/pyproj,,,,28893.0,26843.0,https://pypi.org/project/pyproj,2023-09-21 02:07:12.000,2050.0,7670672.0,7836349.0,https://anaconda.org/conda-forge/pyproj,2023-12-08 10:35:21.072,7124111.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +141,NiBabel,nipy/nibabel,medical-data,,https://github.com/nipy/nibabel,https://github.com/nipy/nibabel,MIT,2010-07-22 16:28:30.000,2024-01-17 19:47:04.000000,2023-12-26 14:53:14,5765.0,50.0,254.0,37.0,788.0,126.0,392.0,604.0,Python package to access a cacophony of neuro-imaging file formats.,100.0,35,True,2023-12-12 14:28:42.000,5.2.0,41.0,nibabel,conda-forge/nibabel,,,,18020.0,16822.0,https://pypi.org/project/nibabel,2023-12-11 21:37:41.000,1198.0,417110.0,432462.0,https://anaconda.org/conda-forge/nibabel,2023-12-12 00:00:35.048,675531.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +142,Netron,lutzroeder/netron,interpretability,,https://github.com/lutzroeder/netron,https://github.com/lutzroeder/netron,MIT,2010-12-26 12:53:43.000,2024-02-01 04:15:49.000000,2024-02-01 04:15:42,7588.0,293.0,2643.0,295.0,184.0,27.0,1008.0,25339.0,"Visualizer for neural network, deep learning and machine learning models.",2.0,34,True,2024-01-27 05:41:34.000,7.4.1,618.0,netron,,,,"['pytorch', 'tensorflow']",86.0,12.0,https://pypi.org/project/netron,2024-01-27 05:41:34.000,74.0,21786.0,84413.0,,,,,,,,1.0,62627.0,,,,,,,,,,,,,,,,,,,, +143,DeepSpeech,mozilla/DeepSpeech,audio,,https://github.com/mozilla/DeepSpeech,https://github.com/mozilla/DeepSpeech,MPL-2.0,2016-06-02 15:04:53.000,2024-01-13 10:31:18.000000,2021-11-17 17:52:52,3466.0,,3924.0,665.0,1671.0,137.0,1985.0,23779.0,"DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices..",163.0,34,False,2020-12-10 17:22:09.000,0.9.3,100.0,deepspeech,conda-forge/deepspeech,,,['tensorflow'],437.0,394.0,https://pypi.org/project/deepspeech,2020-12-19 10:05:12.000,43.0,4005.0,21105.0,https://anaconda.org/conda-forge/deepspeech,2023-06-16 19:27:01.157,2513.0,,,,,2.0,1106271.0,11.0,,,,,,,,,,,,,,,,,,, +144,MindsDB,mindsdb/mindsdb,ml-frameworks,,https://github.com/mindsdb/mindsdb,https://github.com/mindsdb/mindsdb,libpng-2.0,2018-08-02 17:56:45.000,2024-02-01 13:08:54.000000,2024-02-01 13:08:54,16954.0,1087.0,2609.0,377.0,4606.0,432.0,3283.0,19800.0,Build AI using SQL.,819.0,34,False,2024-01-25 13:35:29.000,24.1.4.0,454.0,mindsdb,,,,['pytorch'],,,https://pypi.org/project/mindsdb,2024-01-25 13:36:36.000,,13416.0,13416.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +145,ChatterBot,gunthercox/ChatterBot,nlp,,https://github.com/gunthercox/ChatterBot,https://github.com/gunthercox/ChatterBot,BSD-3-Clause,2014-09-28 14:49:00.000,2023-11-26 17:29:04.000000,2021-06-01 10:43:00,1848.0,,4455.0,551.0,712.0,400.0,1267.0,13793.0,"ChatterBot is a machine learning, conversational dialog engine for creating chat bots.",103.0,34,False,2020-08-22 18:42:43.000,1.0.8,86.0,chatterbot,,,,,5914.0,5561.0,https://pypi.org/project/chatterbot,2020-08-22 18:40:36.000,353.0,32025.0,32025.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +146,horovod,horovod/horovod,distributed-ml,,https://github.com/horovod/horovod,https://github.com/horovod/horovod,Apache-2.0,2017-08-09 19:39:59.000,2024-01-15 08:14:29.000000,2024-01-05 20:03:59,1332.0,1.0,2229.0,332.0,1580.0,372.0,1855.0,13792.0,"Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.",172.0,34,True,2023-06-12 09:28:02.604,0.28.1,77.0,horovod,,,,,1116.0,1079.0,https://pypi.org/project/horovod,2023-06-12 09:28:02.604,37.0,57094.0,57094.0,,,,,,,,2.0,,,stable/horovod,,,,,,,,,,,,,,,,,, +147,Annoy,spotify/annoy,nn-search,,https://github.com/spotify/annoy,https://github.com/spotify/annoy,Apache-2.0,2013-04-01 20:29:40.000,2024-01-29 15:32:48.000000,2023-08-20 17:38:53,890.0,,1110.0,321.0,267.0,54.0,341.0,12401.0,Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk.,88.0,34,True,2023-06-14 16:39:02.504,1.17.3,47.0,annoy,conda-forge/python-annoy,,,,3781.0,3507.0,https://pypi.org/project/annoy,2023-06-14 16:39:02.504,274.0,810559.0,819871.0,https://anaconda.org/conda-forge/python-annoy,2023-09-25 04:57:08.085,381802.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +148,OCRmyPDF,ocrmypdf/OCRmyPDF,ocr,,https://github.com/ocrmypdf/OCRmyPDF,https://github.com/ocrmypdf/OCRmyPDF,MPL-2.0,2013-12-20 08:26:28.000,2024-01-24 18:07:58.000000,2024-01-24 18:07:58,3757.0,115.0,845.0,139.0,163.0,88.0,975.0,11188.0,"OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched.",91.0,34,True,2024-01-07 10:47:57.000,16.0.4,232.0,ocrmypdf,conda-forge/ocrmypdf,,,,737.0,718.0,https://pypi.org/project/ocrmypdf,2024-01-07 10:47:57.000,19.0,80472.0,82508.0,https://anaconda.org/conda-forge/ocrmypdf,2023-06-16 19:24:58.228,61310.0,,,,,2.0,2002.0,,,,,,,,,ocrmypdf,ocrmypdf,,,,,,,,,, +149,Datasette,simonw/datasette,others,,https://github.com/simonw/datasette,https://github.com/simonw/datasette,Apache-2.0,2017-10-23 00:39:03.000,2024-02-01 04:03:23.000000,2024-02-01 04:03:19,2494.0,25.0,620.0,103.0,445.0,550.0,1173.0,8660.0,An open source multi-tool for exploring and publishing data.,76.0,34,True,2023-12-22 23:22:42.000,0.64.6,141.0,datasette,conda-forge/datasette,,,,1378.0,1162.0,https://pypi.org/project/datasette,2023-12-22 23:22:42.000,216.0,39613.0,40500.0,https://anaconda.org/conda-forge/datasette,2024-01-03 22:47:34.900,30137.0,,,,,2.0,59.0,,,,,,,,,datasette,,,,,,,,,,, +150,SpeechRecognition,Uberi/speech_recognition,audio,,https://github.com/Uberi/speech_recognition,https://github.com/Uberi/speech_recognition,BSD-3-Clause,2014-04-23 04:53:54.000,2024-01-14 09:07:13.000000,2023-12-06 12:55:15,486.0,32.0,2328.0,283.0,140.0,310.0,314.0,7840.0,"Speech recognition module for Python, supporting several engines and APIs, online and offline.",49.0,34,True,2023-12-06 13:10:51.000,3.10.1,56.0,SpeechRecognition,conda-forge/speechrecognition,,,,853.0,21.0,https://pypi.org/project/SpeechRecognition,2023-12-06 13:02:22.000,832.0,618536.0,622735.0,https://anaconda.org/conda-forge/speechrecognition,2023-12-06 16:25:19.819,176377.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +151,stanza,stanfordnlp/stanza,nlp,,https://github.com/stanfordnlp/stanza,https://github.com/stanfordnlp/stanza,Apache-2.0,2017-09-26 08:00:56.000,2024-01-31 20:46:21.000000,2023-12-02 06:10:46,4212.0,87.0,900.0,144.0,467.0,83.0,763.0,6942.0,"Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages.",66.0,34,True,2023-12-03 06:48:53.000,1.7.0,22.0,stanza,stanfordnlp/stanza,,,,2512.0,2417.0,https://pypi.org/project/stanza,2023-12-03 06:48:53.000,95.0,161034.0,161189.0,https://anaconda.org/stanfordnlp/stanza,2023-06-16 19:18:21.932,7314.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +152,OpenNMT,OpenNMT/OpenNMT-py,nlp,,https://github.com/OpenNMT/OpenNMT-py,https://github.com/OpenNMT/OpenNMT-py,MIT,2017-02-22 19:01:50.000,2024-02-01 09:17:28.000000,2024-02-01 09:17:20,2876.0,36.0,2084.0,174.0,1132.0,12.0,1411.0,6459.0,Open Source Neural Machine Translation and (Large) Language Models in PyTorch.,191.0,34,True,2023-11-02 12:53:15.000,3.4.3,48.0,OpenNMT-py,,,,['pytorch'],252.0,252.0,https://pypi.org/project/OpenNMT-py,,,5602.0,5602.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +153,FiftyOne,voxel51/fiftyone,data-viz,,https://github.com/voxel51/fiftyone,https://github.com/voxel51/fiftyone,Apache-2.0,2020-04-22 13:43:28.000,2024-02-01 02:42:13.000000,2024-01-30 22:17:26,19219.0,686.0,454.0,54.0,2665.0,472.0,980.0,6363.0,"Visualize, create, and debug image and video datasets and model predictions.",107.0,34,True,2024-01-25 23:41:59.000,0.23.4,139.0,fiftyone,,,,"['tensorflow', 'pytorch', 'jupyter']",493.0,482.0,https://pypi.org/project/fiftyone,2024-01-25 23:41:59.000,11.0,57419.0,57419.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +154,InterpretML,interpretml/interpret,interpretability,,https://github.com/interpretml/interpret,https://github.com/interpretml/interpret,MIT,2019-05-03 05:47:52.000,2024-01-29 19:34:09.000000,2024-01-29 19:34:09,2961.0,207.0,695.0,141.0,93.0,81.0,324.0,5897.0,Fit interpretable models. Explain blackbox machine learning.,41.0,34,True,2023-12-14 21:27:55.000,0.5.0,46.0,interpret,,,,['jupyter'],641.0,611.0,https://pypi.org/project/interpret,2023-12-14 10:33:32.000,30.0,82655.0,82655.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,, +155,ClearML,allegroai/clearml,ml-experiments,,https://github.com/allegroai/clearml,https://github.com/allegroai/clearml,Apache-2.0,2019-06-10 08:18:32.000,2024-02-01 14:04:39.000000,2024-02-01 14:04:38,2287.0,60.0,626.0,91.0,244.0,424.0,519.0,5025.0,"ClearML - Auto-Magical CI/CD to streamline your ML workflow. Experiment Manager, MLOps and Data-Management.",88.0,34,True,2024-01-10 16:14:12.000,1.14.1,150.0,clearml,,allegroai/trains,,,937.0,920.0,https://pypi.org/project/clearml,2024-01-18 15:27:39.000,17.0,230126.0,230700.0,,,,https://hub.docker.com/r/allegroai/trains,2020-10-05 10:16:46.865671,,30236.0,2.0,1993.0,,,,,,,,,,,,,,,,,,,, +156,ART,Trusted-AI/adversarial-robustness-toolbox,adversarial,,https://github.com/Trusted-AI/adversarial-robustness-toolbox,https://github.com/Trusted-AI/adversarial-robustness-toolbox,MIT,2018-03-15 14:40:43.000,2024-02-01 07:27:59.000000,2024-01-19 15:04:04,12141.0,141.0,1113.0,99.0,1312.0,146.0,742.0,4281.0,"Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction,..",133.0,34,True,2023-12-27 22:17:11.000,1.17.0,57.0,adversarial-robustness-toolbox,conda-forge/adversarial-robustness-toolbox,,,,487.0,476.0,https://pypi.org/project/adversarial-robustness-toolbox,2023-12-27 21:11:33.000,11.0,25142.0,25978.0,https://anaconda.org/conda-forge/adversarial-robustness-toolbox,2023-12-27 22:57:10.074,35965.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,, +157,AzureML SDK,Azure/MachineLearningNotebooks,ml-experiments,,https://github.com/Azure/MachineLearningNotebooks,https://github.com/Azure/MachineLearningNotebooks,MIT,2018-08-17 17:29:14.000,2023-12-07 19:03:21.000000,2023-12-07 19:03:20,1290.0,4.0,2511.0,1976.0,531.0,386.0,1076.0,3877.0,Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft.,64.0,34,True,2023-11-09 22:25:24.000,1.54.0,101.0,azureml-sdk,,,,,48.0,,https://pypi.org/project/azureml-sdk,2023-11-09 22:25:24.000,48.0,499383.0,499390.0,,,,,,,,2.0,505.0,,,,,,,,,,,,,,,,,,,, +158,tensorflow-hub,tensorflow/hub,tensorflow-utils,,https://github.com/tensorflow/hub,https://github.com/tensorflow/hub,Apache-2.0,2018-03-12 07:55:42.000,2024-01-30 18:21:57.617000,2024-01-30 15:03:57,1179.0,10.0,1709.0,148.0,210.0,5.0,682.0,3421.0,A library for transfer learning by reusing parts of TensorFlow models.,106.0,34,True,2024-01-30 15:53:29.000,0.16.1,20.0,tensorflow-hub,conda-forge/tensorflow-hub,,,['tensorflow'],340.0,,https://pypi.org/project/tensorflow-hub,2024-01-30 14:49:07.000,340.0,3180942.0,3183155.0,https://anaconda.org/conda-forge/tensorflow-hub,2024-01-30 18:21:57.617,92959.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +159,torchtext,pytorch/text,nlp,,https://github.com/pytorch/text,https://github.com/pytorch/text,BSD-3-Clause,2016-12-12 00:56:03.000,2024-02-01 11:34:31.000000,2024-01-13 00:27:14,1296.0,4.0,827.0,275.0,1441.0,315.0,512.0,3415.0,"Models, data loaders and abstractions for language processing, powered by PyTorch.",151.0,34,True,2024-01-30 18:16:31.000,0.17.0,31.0,torchtext,,,,['pytorch'],495.0,,https://pypi.org/project/torchtext,2024-01-30 17:35:45.000,495.0,444494.0,444494.0,,,,,,,,2.0,,5.0,,,,,,,,,,,,,,,,,,, +160,StatsForecast,Nixtla/statsforecast,time-series-data,,https://github.com/Nixtla/statsforecast,https://github.com/Nixtla/statsforecast,Apache-2.0,2021-11-24 02:19:14.000,2024-02-01 03:25:52.893000,2024-01-31 22:28:40,1268.0,57.0,224.0,31.0,420.0,76.0,197.0,3350.0,Lightning fast forecasting with statistical and econometric models.,37.0,34,True,2024-01-31 22:31:07.000,1.7.2,27.0,statsforecast,conda-forge/statsforecast,,,,686.0,686.0,https://pypi.org/project/statsforecast,,,463875.0,466386.0,https://anaconda.org/conda-forge/statsforecast,2024-02-01 03:25:52.893,57757.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,, +161,BoTorch,pytorch/botorch,hyperopt,,https://github.com/pytorch/botorch,https://github.com/pytorch/botorch,MIT,2018-07-30 23:59:57.000,2024-01-31 11:09:37.000000,2024-01-31 06:49:19,1778.0,66.0,351.0,54.0,1513.0,64.0,395.0,2889.0,Bayesian optimization in PyTorch.,108.0,34,True,2023-12-09 02:30:45.000,0.9.5,42.0,botorch,conda-forge/botorch,,,['pytorch'],864.0,820.0,https://pypi.org/project/botorch,2023-12-09 02:30:45.000,44.0,136068.0,138403.0,https://anaconda.org/conda-forge/botorch,2023-12-09 03:51:41.401,98085.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,, +162,rubrix,recognai/rubrix,nlp,,https://github.com/argilla-io/argilla,https://github.com/argilla-io/argilla,Apache-2.0,2021-04-28 14:37:42.000,2024-02-01 14:42:58.000000,2024-01-31 12:27:27,2824.0,192.0,286.0,25.0,2632.0,185.0,1602.0,2880.0,Argilla: the open-source feedback platform for LLMs.,76.0,34,True,2024-01-18 15:04:19.000,1.22.0,100.0,rubrix,conda-forge/rubrix,,,,2221.0,2221.0,https://pypi.org/project/rubrix,2022-10-24 18:22:00.951,,492.0,1595.0,https://anaconda.org/conda-forge/rubrix,2023-06-16 19:28:09.653,28688.0,,,,,2.0,,,,argilla-io/argilla,,,,,,,,,,,,,,,,, +163,torchaudio,pytorch/audio,audio,,https://github.com/pytorch/audio,https://github.com/pytorch/audio,BSD-2-Clause,2017-05-05 00:38:05.000,2024-02-01 11:34:27.000000,2024-01-30 17:55:53,2299.0,14.0,621.0,76.0,2845.0,202.0,713.0,2328.0,"Data manipulation and transformation for audio signal processing, powered by PyTorch.",222.0,34,True,2024-01-30 18:17:31.000,2.2.0,31.0,torchaudio,,,,['pytorch'],561.0,,https://pypi.org/project/torchaudio,2024-01-30 17:34:49.000,561.0,2507000.0,2507000.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +164,Lifelines,CamDavidsonPilon/lifelines,medical-data,,https://github.com/CamDavidsonPilon/lifelines,https://github.com/CamDavidsonPilon/lifelines,MIT,2013-08-28 00:16:42.000,2024-01-15 22:33:33.000000,2024-01-15 22:33:33,2291.0,21.0,584.0,69.0,480.0,245.0,702.0,2236.0,Survival analysis in Python.,116.0,34,True,2024-01-03 22:01:02.000,0.28.0,170.0,lifelines,conda-forge/lifelines,,,,2296.0,2164.0,https://pypi.org/project/lifelines,2024-01-03 22:01:02.000,132.0,594662.0,601547.0,https://anaconda.org/conda-forge/lifelines,2023-09-13 16:31:11.545,309852.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +165,Ax,facebook/Ax,hyperopt,,https://github.com/facebook/Ax,https://github.com/facebook/Ax,MIT,2019-02-09 15:23:44.000,2024-02-01 14:39:45.000000,2024-02-01 02:27:53,2816.0,175.0,281.0,68.0,1532.0,54.0,586.0,2221.0,Adaptive Experimentation Platform.,161.0,34,True,2023-12-09 18:28:49.000,0.3.6,39.0,ax-platform,conda-forge/ax-platform,,,['pytorch'],665.0,636.0,https://pypi.org/project/ax-platform,2023-12-09 18:28:49.000,29.0,89824.0,90363.0,https://anaconda.org/conda-forge/ax-platform,2023-12-11 15:43:05.639,17271.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,, +166,optimum,huggingface/optimum,gpu-utilities,,https://github.com/huggingface/optimum,https://github.com/huggingface/optimum,Apache-2.0,2021-07-20 12:36:40.000,2024-02-01 09:03:24.000000,2024-01-30 10:08:32,950.0,72.0,319.0,52.0,1087.0,288.0,359.0,1929.0,Accelerate training and inference of Transformers and Diffusers with easy to use hardware optimization tools.,95.0,34,True,2024-01-19 16:01:49.000,1.16.2,56.0,optimum,conda-forge/optimum,,,,1530.0,1470.0,https://pypi.org/project/optimum,2024-01-19 15:46:49.000,60.0,876524.0,877030.0,https://anaconda.org/conda-forge/optimum,2024-01-19 18:30:36.317,11151.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,, +167,Graphviz,xflr6/graphviz,data-viz,,https://github.com/xflr6/graphviz,https://github.com/xflr6/graphviz,MIT,2014-01-12 17:49:29.000,2023-12-19 22:00:11.000000,2023-12-04 09:05:52,1211.0,1.0,205.0,33.0,47.0,9.0,158.0,1531.0,Simple Python interface for Graphviz.,22.0,34,True,2022-07-23 11:35:06.076,0.20.1,56.0,graphviz,anaconda/python-graphviz,,,,63354.0,59877.0,https://pypi.org/project/graphviz,2022-07-23 11:35:06.076,3477.0,7213606.0,7214127.0,https://anaconda.org/anaconda/python-graphviz,2023-12-06 23:46:08.496,42802.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +168,ipyleaflet,jupyter-widgets/ipyleaflet,geospatial-data,,https://github.com/jupyter-widgets/ipyleaflet,https://github.com/jupyter-widgets/ipyleaflet,MIT,2014-05-07 16:32:10.000,2024-01-26 10:55:56.000000,2024-01-26 10:55:56,1171.0,21.0,364.0,65.0,595.0,268.0,347.0,1439.0,A Jupyter - Leaflet.js bridge.,87.0,34,True,2024-01-23 17:57:40.189,0.18.2,81.0,ipyleaflet,conda-forge/ipyleaflet,,,['jupyter'],7223.0,7055.0,https://pypi.org/project/ipyleaflet,2024-01-23 17:54:03.000,162.0,128716.0,176652.0,https://anaconda.org/conda-forge/ipyleaflet,2024-01-23 20:31:49.209,1098954.0,,,,,2.0,,,,,jupyter-leaflet,https://www.npmjs.com/package/jupyter-leaflet,2024-01-23 17:57:40.189,6.0,23515.0,,,,,,,,,,,, +169,TensorFlow Text,tensorflow/text,nlp,,https://github.com/tensorflow/text,https://github.com/tensorflow/text,Apache-2.0,2019-05-29 22:10:03.000,2024-02-01 01:43:52.000000,2024-01-31 19:53:34,866.0,6.0,324.0,45.0,1010.0,72.0,163.0,1174.0,Making text a first-class citizen in TensorFlow.,112.0,34,True,2023-11-15 19:00:05.000,2.15.0,67.0,tensorflow-text,,,,['tensorflow'],6499.0,6360.0,https://pypi.org/project/tensorflow-text,2023-11-15 18:28:36.000,139.0,5031988.0,5031988.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +170,Face Recognition,ageitgey/face_recognition,image,,https://github.com/ageitgey/face_recognition,https://github.com/ageitgey/face_recognition,MIT,2017-03-03 21:52:39.000,2024-01-13 20:33:11.000000,2022-06-10 09:12:18,238.0,,13338.0,1565.0,225.0,754.0,584.0,50974.0,The worlds simplest facial recognition api for Python and the command line.,54.0,33,False,2020-02-20 14:26:01.000,1.3.0,23.0,face_recognition,conda-forge/face_recognition,,,['pytorch'],87.0,21.0,https://pypi.org/project/face_recognition,2020-02-20 14:26:01.000,66.0,64787.0,65278.0,https://anaconda.org/conda-forge/face_recognition,2023-06-16 19:21:40.721,19589.0,,,,,2.0,1224.0,,,,,,,,,,,,,,,,,,,, +171,ColossalAI,hpcaitech/colossalai,distributed-ml,,https://github.com/hpcaitech/ColossalAI,https://github.com/hpcaitech/ColossalAI,Apache-2.0,2021-10-28 16:19:44.000,2024-02-01 10:43:46.000000,2024-02-01 08:13:06,2975.0,113.0,4110.0,372.0,3616.0,365.0,1167.0,36302.0,"Making large AI models cheaper, faster and more accessible.",162.0,33,True,2023-11-01 05:57:35.000,0.3.4,34.0,,,,,,291.0,291.0,,,,,,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +172,detectron2,facebookresearch/detectron2,image,,https://github.com/facebookresearch/detectron2,https://github.com/facebookresearch/detectron2,Apache-2.0,2019-09-05 21:30:20.000,2024-01-31 15:48:05.000000,2024-01-31 15:43:49,1500.0,8.0,7261.0,380.0,647.0,463.0,3041.0,27957.0,"Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.",264.0,33,True,2021-11-15 22:08:26.000,0.6,10.0,detectron2,conda-forge/detectron2,,,['pytorch'],1589.0,1583.0,https://pypi.org/project/detectron2,2020-02-06 00:35:57.000,6.0,,5147.0,https://anaconda.org/conda-forge/detectron2,2024-01-18 08:57:46.349,221355.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +173,Magenta,magenta/magenta,audio,,https://github.com/magenta/magenta,https://github.com/magenta/magenta,Apache-2.0,2016-05-05 20:10:40.000,2024-01-23 01:48:22.000000,2023-07-11 13:03:36,1421.0,,3770.0,759.0,1134.0,403.0,588.0,18835.0,Magenta: Music and Art Generation with Machine Intelligence.,155.0,33,True,2023-12-02 01:16:14.308,0.1.0,68.0,magenta,,,,['tensorflow'],530.0,492.0,https://pypi.org/project/magenta,2022-08-01 18:23:00.243,38.0,2415.0,2415.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +174,zipline,quantopian/zipline,financial-data,,https://github.com/quantopian/zipline,https://github.com/quantopian/zipline,Apache-2.0,2012-10-19 15:50:29.000,2023-12-26 23:00:56.000000,2020-10-14 16:36:49,6226.0,,4627.0,1003.0,1869.0,357.0,658.0,16856.0,"Zipline, a Pythonic Algorithmic Trading Library.",160.0,33,False,2020-10-05 15:46:20.429,1.4.1,30.0,zipline,conda-forge/zipline,,,,1064.0,978.0,https://pypi.org/project/zipline,2020-10-05 15:46:20.429,86.0,2902.0,3083.0,https://anaconda.org/conda-forge/zipline,2023-06-16 19:21:35.991,7432.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,, +175,NNI,microsoft/nni,hyperopt,,https://github.com/microsoft/nni,https://github.com/microsoft/nni,MIT,2018-06-01 05:51:44.000,2023-10-30 04:23:19.000000,2023-10-26 05:31:53,3012.0,,1817.0,283.0,3502.0,356.0,1677.0,13552.0,"An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural..",192.0,33,True,2023-09-14 12:12:06.000,3.0,55.0,nni,,,,,591.0,556.0,https://pypi.org/project/nni,2023-09-14 12:22:00.000,35.0,15224.0,15224.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,, +176,Sonnet,deepmind/sonnet,ml-frameworks,,https://github.com/google-deepmind/sonnet,https://github.com/google-deepmind/sonnet,Apache-2.0,2017-04-03 11:34:35.000,2024-01-02 11:17:53.000000,2024-01-02 11:17:47,862.0,3.0,1363.0,418.0,85.0,32.0,159.0,9670.0,TensorFlow-based neural network library.,58.0,33,True,2024-01-02 11:15:06.000,2.0.2,29.0,dm-sonnet,conda-forge/sonnet,,,['tensorflow'],1267.0,1214.0,https://pypi.org/project/dm-sonnet,2024-01-02 11:15:06.000,53.0,19387.0,19915.0,https://anaconda.org/conda-forge/sonnet,2023-06-16 16:19:12.602,26952.0,,,,,3.0,,,,google-deepmind/sonnet,,,,,,,,,,,,,,,,, +177,fuzzywuzzy,seatgeek/fuzzywuzzy,nlp,,https://github.com/seatgeek/fuzzywuzzy,https://github.com/seatgeek/fuzzywuzzy,GPL-2.0,2011-07-08 19:32:34.000,2023-06-16 13:22:53.603000,2021-09-09 20:54:41,384.0,,898.0,261.0,148.0,108.0,103.0,9053.0,Fuzzy String Matching in Python.,70.0,33,False,2020-02-13 22:14:12.000,0.18.0,27.0,fuzzywuzzy,conda-forge/fuzzywuzzy,,,,24551.0,22428.0,https://pypi.org/project/fuzzywuzzy,2020-02-13 21:06:25.000,2123.0,4996338.0,5002064.0,https://anaconda.org/conda-forge/fuzzywuzzy,2023-06-16 13:22:53.603,521141.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +178,Vowpal Wabbit,VowpalWabbit/vowpal_wabbit,ml-frameworks,,https://github.com/VowpalWabbit/vowpal_wabbit,https://github.com/VowpalWabbit/vowpal_wabbit,BSD-3-Clause,2009-07-31 19:36:58.000,2024-01-31 19:32:50.000000,2024-01-25 06:38:02,10402.0,6.0,1965.0,350.0,3418.0,143.0,1132.0,8366.0,Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as..,332.0,33,True,2023-07-19 17:15:55.000,9.9.0,29.0,vowpalwabbit,conda-forge/vowpalwabbit,,,,34.0,,https://pypi.org/project/vowpalwabbit,2023-07-19 17:15:55.000,34.0,44901.0,48373.0,https://anaconda.org/conda-forge/vowpalwabbit,2023-10-08 10:19:04.401,138915.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +179,Hyperopt,hyperopt/hyperopt,hyperopt,,https://github.com/hyperopt/hyperopt,https://github.com/hyperopt/hyperopt,BSD-3-Clause,2011-09-06 22:24:59.000,2024-01-29 20:42:27.000000,2023-09-29 18:36:14,1218.0,,1022.0,126.0,273.0,349.0,392.0,6994.0,Distributed Asynchronous Hyperparameter Optimization in Python.,102.0,33,True,2021-11-17 10:07:00.808,0.2.7,13.0,hyperopt,conda-forge/hyperopt,,,,13967.0,13461.0,https://pypi.org/project/hyperopt,2021-11-17 10:07:00.808,506.0,1889836.0,1901321.0,https://anaconda.org/conda-forge/hyperopt,2023-06-16 16:14:11.076,746541.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,, +180,cuDF,rapidsai/cudf,gpu-utilities,,https://github.com/rapidsai/cudf,https://github.com/rapidsai/cudf,Apache-2.0,2017-05-07 03:43:37.000,2024-02-01 13:31:27.000000,2024-02-01 05:47:07,38255.0,462.0,788.0,146.0,9033.0,917.0,4966.0,6991.0,cuDF - GPU DataFrame Library.,270.0,33,True,2023-12-08 21:31:24.000,23.12.01,45.0,cudf,,,,,61.0,51.0,https://pypi.org/project/cudf,2020-06-01 20:07:47.000,10.0,2404.0,2404.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +181,UMAP,lmcinnes/umap,data-viz,,https://github.com/lmcinnes/umap,https://github.com/lmcinnes/umap,BSD-3-Clause,2017-07-02 01:11:17.000,2024-02-01 11:11:06.000000,2024-01-08 21:37:22,1766.0,12.0,762.0,130.0,268.0,442.0,328.0,6755.0,Uniform Manifold Approximation and Projection.,128.0,33,True,2023-11-18 03:11:17.000,0.5.5,39.0,umap-learn,conda-forge/umap-learn,,,,559.0,1.0,https://pypi.org/project/umap-learn,2023-11-18 03:11:17.000,558.0,869477.0,921487.0,https://anaconda.org/conda-forge/umap-learn,2023-11-18 18:17:04.167,2288443.0,,,,,2.0,,5.0,,,,,,,,,,,,,,,,,,, +182,Autograd,HIPS/autograd,others,,https://github.com/HIPS/autograd,https://github.com/HIPS/autograd,MIT,2014-11-24 15:50:23.000,2023-12-05 22:52:30.000000,2023-11-16 08:43:39,1418.0,2.0,872.0,218.0,220.0,174.0,233.0,6662.0,Efficiently computes derivatives of numpy code.,56.0,33,True,2023-06-23 08:37:07.368,1.6.2,29.0,autograd,conda-forge/autograd,,,,7503.0,7179.0,https://pypi.org/project/autograd,2023-06-23 08:37:07.368,324.0,1364651.0,1384042.0,https://anaconda.org/conda-forge/autograd,2023-06-26 15:21:38.267,387828.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +183,H2O-3,h2oai/h2o-3,distributed-ml,,https://github.com/h2oai/h2o-3,https://github.com/h2oai/h2o-3,Apache-2.0,2014-03-03 16:08:07.000,2024-02-01 13:20:47.000000,2024-02-01 09:10:58,32308.0,90.0,1957.0,384.0,6748.0,2676.0,6533.0,6624.0,"H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM)..",253.0,33,True,,,,h2o,,,,,21.0,21.0,https://pypi.org/project/h2o,,,405411.0,405411.0,,,,,,,,2.0,,-2.0,,,,,,,,,,,,,,,,,,, +184,librosa,librosa/librosa,audio,,https://github.com/librosa/librosa,https://github.com/librosa/librosa,ISC,2012-10-20 14:21:01.000,2024-01-29 12:29:20.000000,2023-12-27 20:40:01,3261.0,6.0,946.0,138.0,639.0,57.0,1104.0,6470.0,Python library for audio and music analysis.,119.0,33,True,2023-08-16 13:52:19.000,0.10.1,41.0,librosa,conda-forge/librosa,,,,1528.0,,https://pypi.org/project/librosa,2023-08-16 13:52:19.000,1528.0,2140471.0,2157130.0,https://anaconda.org/conda-forge/librosa,2023-08-16 18:07:49.183,716357.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +185,Chainer,chainer/chainer,ml-frameworks,,https://github.com/chainer/chainer,https://github.com/chainer/chainer,MIT,2015-06-05 05:50:37.000,2023-08-28 17:18:20.000000,2022-10-17 02:18:00,30611.0,,1397.0,291.0,6588.0,12.0,2030.0,5843.0,A flexible framework of neural networks for deep learning.,322.0,33,False,2022-06-29 08:19:03.000,7.8.1.post1,111.0,chainer,conda-forge/chainer,,,,3571.0,3167.0,https://pypi.org/project/chainer,2022-01-05 05:33:36.000,404.0,19767.0,20112.0,https://anaconda.org/conda-forge/chainer,2023-06-16 19:17:58.452,16574.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +186,PML,KevinMusgrave/pytorch-metric-learning,pytorch-utils,,https://github.com/KevinMusgrave/pytorch-metric-learning,https://github.com/KevinMusgrave/pytorch-metric-learning,MIT,2019-10-23 17:20:35.000,2023-12-16 19:25:54.000000,2023-12-16 19:23:13,1208.0,20.0,650.0,64.0,131.0,53.0,432.0,5640.0,"The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.",40.0,33,True,2023-12-16 19:24:49.000,2.4.1,209.0,pytorch-metric-learning,metric-learning/pytorch-metric-learning,,,['pytorch'],1216.0,1185.0,https://pypi.org/project/pytorch-metric-learning,2023-12-16 19:14:54.000,31.0,253394.0,253621.0,https://anaconda.org/metric-learning/pytorch-metric-learning,2023-06-16 19:17:36.446,11134.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,, +187,Tesseract,madmaze/pytesseract,ocr,,https://github.com/madmaze/pytesseract,https://github.com/madmaze/pytesseract,Apache-2.0,2010-10-27 23:02:49.000,2024-01-29 19:05:24.000000,2024-01-23 16:24:04,604.0,12.0,680.0,108.0,184.0,14.0,339.0,5321.0,Python-tesseract is an optical character recognition (OCR) tool for python.,46.0,33,True,2023-10-15 15:39:44.000,0.3.13,27.0,pytesseract,conda-forge/pytesseract,,,,1216.0,,https://pypi.org/project/pytesseract,2022-08-16 19:20:38.334,1216.0,1337243.0,1351093.0,https://anaconda.org/conda-forge/pytesseract,2023-10-15 19:50:43.241,595560.0,,,,,2.0,,5.0,,,,,,,,,,,,,,,,,,, +188,mlpack,mlpack/mlpack,ml-frameworks,,https://github.com/mlpack/mlpack,https://github.com/mlpack/mlpack,BSD-3-Clause,2014-12-17 18:16:59.000,2024-01-31 18:09:00.000000,2024-01-28 22:04:49,29513.0,533.0,1576.0,185.0,2036.0,26.0,1559.0,4671.0,"mlpack: a fast, header-only C++ machine learning library.",311.0,33,True,2023-12-12 00:54:05.000,4.3.0,46.0,mlpack,conda-forge/mlpack,,,,1.0,,https://pypi.org/project/mlpack,2023-12-16 03:56:46.000,1.0,1974.0,5769.0,https://anaconda.org/conda-forge/mlpack,2023-11-29 00:35:31.566,166980.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +189,Captum,pytorch/captum,interpretability,,https://github.com/pytorch/captum,https://github.com/pytorch/captum,BSD-3-Clause,2019-08-27 15:34:41.000,2024-01-24 19:59:59.000000,2024-01-24 19:51:09,1053.0,25.0,461.0,227.0,733.0,191.0,331.0,4408.0,Model interpretability and understanding for PyTorch.,105.0,33,True,2023-12-05 09:21:02.000,0.7.0,10.0,captum,conda-forge/captum,,,['pytorch'],1825.0,1762.0,https://pypi.org/project/captum,2023-12-05 08:32:04.000,63.0,171605.0,172383.0,https://anaconda.org/conda-forge/captum,2023-06-16 19:28:19.191,20242.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,, +190,Core ML Tools,apple/coremltools,model-serialisation,,https://github.com/apple/coremltools,https://github.com/apple/coremltools,BSD-3-Clause,2017-06-30 07:39:02.000,2024-01-31 07:52:18.000000,2024-01-30 05:28:31,1126.0,28.0,581.0,116.0,840.0,279.0,1024.0,3903.0,"Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.",159.0,33,True,2023-11-01 14:46:14.000,7.1,46.0,coremltools,conda-forge/coremltools,,,,3753.0,3580.0,https://pypi.org/project/coremltools,2023-11-01 14:33:59.000,173.0,177669.0,179119.0,https://anaconda.org/conda-forge/coremltools,2023-06-16 19:23:14.592,53321.0,,,,,2.0,9032.0,,,,,,,,,,,,,,,,,,,, +191,hnswlib,nmslib/hnswlib,nn-search,,https://github.com/nmslib/hnswlib,https://github.com/nmslib/hnswlib,Apache-2.0,2017-07-06 13:08:46.000,2023-12-28 17:43:43.000000,2023-12-03 03:47:34,490.0,5.0,595.0,66.0,212.0,191.0,152.0,3818.0,Header-only C++/python library for fast approximate nearest neighbors.,72.0,33,True,2023-12-03 04:16:17.000,0.8.0,11.0,hnswlib,conda-forge/hnswlib,,,,5956.0,5890.0,https://pypi.org/project/hnswlib,2023-12-03 04:16:17.000,66.0,628109.0,631414.0,https://anaconda.org/conda-forge/hnswlib,2023-09-27 14:20:16.958,125591.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +192,scikit-optimize,scikit-optimize/scikit-optimize,hyperopt,,https://github.com/scikit-optimize/scikit-optimize,https://github.com/scikit-optimize/scikit-optimize,BSD-3-Clause,2016-03-20 21:10:54.000,2024-01-15 00:09:43.000000,2021-10-12 13:32:38,1570.0,,509.0,65.0,543.0,303.0,393.0,2705.0,Sequential model-based optimization with a `scipy.optimize` interface.,76.0,33,False,2021-10-12 15:33:19.000,0.9.0,23.0,scikit-optimize,conda-forge/scikit-optimize,,,,5638.0,5361.0,https://pypi.org/project/scikit-optimize,2021-10-12 14:23:01.204,277.0,580757.0,589591.0,https://anaconda.org/conda-forge/scikit-optimize,2023-06-16 13:23:01.487,697943.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,, +193,category_encoders,scikit-learn-contrib/category_encoders,sklearn-utils,,https://github.com/scikit-learn-contrib/category_encoders,https://github.com/scikit-learn-contrib/category_encoders,BSD-3-Clause,2015-11-29 19:32:37.000,2023-12-13 13:51:09.000000,2023-12-13 13:51:08,953.0,10.0,398.0,39.0,149.0,45.0,239.0,2335.0,A library of sklearn compatible categorical variable encoders.,70.0,33,True,2023-10-29 20:29:52.000,2.6.3,32.0,category_encoders,conda-forge/category_encoders,,,['sklearn'],1588.0,1413.0,https://pypi.org/project/category_encoders,2023-10-29 20:29:52.000,175.0,1417010.0,1425925.0,https://anaconda.org/conda-forge/category_encoders,2023-10-30 01:23:52.252,249623.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +194,mpld3,mpld3/mpld3,data-viz,,https://github.com/mpld3/mpld3,https://github.com/mpld3/mpld3,BSD-3-Clause,2013-12-18 01:48:30.000,2024-01-11 18:01:50.000000,2023-12-23 13:05:00,887.0,10.0,355.0,84.0,168.0,215.0,146.0,2303.0,D3 Renderings of Matplotlib Graphics.,52.0,33,True,2023-12-23 13:04:29.963,0.5.10,19.0,mpld3,conda-forge/mpld3,,,,5899.0,5480.0,https://pypi.org/project/mpld3,2023-12-23 13:03:02.000,410.0,585837.0,590920.0,https://anaconda.org/conda-forge/mpld3,2023-12-23 15:16:22.285,192517.0,,,,,2.0,,,,,mpld3,https://www.npmjs.com/package/mpld3,2023-12-23 13:04:29.963,9.0,708.0,,,,,,,,,,,, +195,PennyLane,PennyLaneAI/PennyLane,others,,https://github.com/PennyLaneAI/pennylane,https://github.com/PennyLaneAI/pennylane,Apache-2.0,2018-04-17 16:45:42.000,2024-02-01 14:49:13.000000,2024-01-31 16:39:01,3886.0,196.0,519.0,46.0,4031.0,262.0,885.0,2028.0,PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum..,156.0,33,True,2024-01-22 17:04:21.000,0.34.0.post1,54.0,pennylane,conda-forge/pennylane,,,,797.0,728.0,https://pypi.org/project/pennylane,2024-01-08 20:32:42.000,69.0,41257.0,42478.0,https://anaconda.org/conda-forge/pennylane,2024-01-16 20:01:29.795,32944.0,,,,,2.0,70.0,,,,,,,,,,,,,,,,,,,, +196,jellyfish,jamesturk/jellyfish,nlp,,https://github.com/jamesturk/jellyfish,https://github.com/jamesturk/jellyfish,MIT,2010-07-09 20:41:11.000,2023-12-18 04:15:22.000000,2023-11-17 20:35:45,543.0,11.0,161.0,44.0,76.0,7.0,127.0,1954.0,a python library for doing approximate and phonetic matching of strings.,31.0,33,True,2023-11-17 20:44:09.000,1.0.3,42.0,jellyfish,conda-forge/jellyfish,,,,8416.0,7963.0,https://pypi.org/project/jellyfish,2023-11-17 20:44:09.000,453.0,2566220.0,2583926.0,https://anaconda.org/conda-forge/jellyfish,2023-11-17 23:08:09.681,779091.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +197,Pythran,serge-sans-paille/pythran,others,,https://github.com/serge-sans-paille/pythran,https://github.com/serge-sans-paille/pythran,BSD-3-Clause,2012-05-29 08:02:14.000,2024-01-28 14:46:17.000000,2024-01-22 09:04:45,3678.0,16.0,193.0,50.0,1348.0,125.0,711.0,1948.0,Ahead of Time compiler for numeric kernels.,72.0,33,True,2024-01-07 21:21:39.000,0.15.0,59.0,pythran,conda-forge/pythran,,,,1719.0,1697.0,https://pypi.org/project/pythran,2024-01-07 21:21:39.000,22.0,159296.0,170082.0,https://anaconda.org/conda-forge/pythran,2024-01-08 06:40:29.964,442261.0,,,,,2.0,,,,,,,,,,,,,,,,,,pythran,python-pythran,, +198,cartopy,SciTools/cartopy,data-viz,,https://github.com/SciTools/cartopy,https://github.com/SciTools/cartopy,BSD-3-Clause,2012-08-03 07:43:59.000,2024-01-31 19:28:37.000000,2024-01-29 14:25:54,2949.0,28.0,356.0,55.0,1119.0,314.0,924.0,1330.0,Cartopy - a cartographic python library with matplotlib support.,125.0,33,True,2023-08-05 00:57:41.000,0.22.0,29.0,cartopy,conda-forge/cartopy,,,,4774.0,4325.0,https://pypi.org/project/cartopy,2023-08-05 00:57:41.000,449.0,178457.0,253420.0,https://anaconda.org/conda-forge/cartopy,2023-10-24 18:58:07.197,3373355.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +199,agate,wireservice/agate,others,,https://github.com/wireservice/agate,https://github.com/wireservice/agate,MIT,2014-04-25 13:59:09.000,2023-12-21 21:50:42.816000,2023-12-21 20:10:06,1524.0,2.0,152.0,41.0,132.0,8.0,640.0,1153.0,A Python data analysis library that is optimized for humans instead of machines.,52.0,33,True,2023-12-21 20:05:21.000,1.9.1,32.0,agate,conda-forge/agate,,,,2853.0,2704.0,https://pypi.org/project/agate,2023-12-21 20:05:21.000,149.0,4498547.0,4503452.0,https://anaconda.org/conda-forge/agate,2023-12-21 21:50:42.816,161877.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +200,patsy,pydata/patsy,probabilistics,,https://github.com/pydata/patsy,https://github.com/pydata/patsy,BSD-2-Clause,2012-07-10 12:30:06.000,2024-01-05 15:46:09.327000,2024-01-04 18:54:38,558.0,14.0,107.0,32.0,60.0,71.0,78.0,912.0,Describing statistical models in Python using symbolic formulas.,19.0,33,True,2024-01-04 18:58:03.000,0.5.6,13.0,patsy,conda-forge/patsy,,,,90592.0,87837.0,https://pypi.org/project/patsy,2024-01-04 18:55:57.000,2755.0,13334671.0,13664897.0,https://anaconda.org/conda-forge/patsy,2024-01-05 15:46:09.327,9576565.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,, +201,NIPYPE,nipy/nipype,medical-data,,https://github.com/nipy/nipype,https://github.com/nipy/nipype,Apache-2.0,2010-07-22 17:06:49.000,2024-01-22 15:54:03.000000,2023-12-06 02:03:46,14787.0,4.0,506.0,50.0,2278.0,396.0,949.0,710.0,Workflows and interfaces for neuroimaging packages.,251.0,33,True,2023-04-06 12:55:55.544,1.8.6,64.0,nipype,conda-forge/nipype,,,,4123.0,3945.0,https://pypi.org/project/nipype,2023-04-06 12:55:55.544,178.0,81988.0,96076.0,https://anaconda.org/conda-forge/nipype,2023-09-22 18:28:24.915,591725.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +202,DIPY,dipy/dipy,medical-data,,https://github.com/dipy/dipy,https://github.com/dipy/dipy,,2010-02-06 11:43:08.000,2024-02-01 14:44:34.000000,2024-01-30 18:49:34,13712.0,207.0,393.0,50.0,2012.0,151.0,754.0,649.0,"DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal..",152.0,33,False,2023-12-14 14:48:42.000,1.8.0,27.0,dipy,conda-forge/dipy,,,,1099.0,987.0,https://pypi.org/project/dipy,2023-12-14 14:48:42.000,112.0,21612.0,26174.0,https://anaconda.org/conda-forge/dipy,2023-06-16 13:16:19.782,424292.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +203,tensor2tensor,tensorflow/tensor2tensor,tensorflow-utils,,https://github.com/tensorflow/tensor2tensor,https://github.com/tensorflow/tensor2tensor,Apache-2.0,2017-06-15 16:57:39.000,2023-06-02 18:55:09.000000,2023-04-01 10:19:28,4379.0,,3312.0,468.0,671.0,589.0,672.0,14531.0,Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.,244.0,32,True,2020-06-17 16:31:34.798,1.15.7,79.0,tensor2tensor,,,,['tensorflow'],1542.0,1452.0,https://pypi.org/project/tensor2tensor,2020-06-17 16:31:34.798,90.0,4322.0,4322.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +204,PaddleHub,PaddlePaddle/PaddleHub,others,,https://github.com/PaddlePaddle/PaddleHub,https://github.com/PaddlePaddle/PaddleHub,Apache-2.0,2018-12-21 06:00:48.000,2023-10-18 03:42:44.000000,2023-03-28 11:49:55,2665.0,,2090.0,187.0,1005.0,580.0,712.0,12381.0,"Awesome pre-trained models toolkit based on PaddlePaddle. (400+ models including Image, Text, Audio, Video and Cross-..",69.0,32,True,2023-09-20 10:33:08.000,2.4.0,50.0,paddlehub,,,,['paddle'],1518.0,1512.0,https://pypi.org/project/paddlehub,2023-09-20 10:33:08.000,6.0,6867.0,6878.0,,,,,,,,2.0,664.0,,,,,,,,,,,,,,,,,,,, +205,Lime,marcotcr/lime,interpretability,,https://github.com/marcotcr/lime,https://github.com/marcotcr/lime,BSD-2-Clause,2016-03-15 22:18:10.000,2023-10-25 13:56:47.000000,2021-07-29 23:17:25,531.0,,1737.0,263.0,114.0,85.0,535.0,11111.0,Lime: Explaining the predictions of any machine learning classifier.,62.0,32,False,2020-04-03 22:05:03.000,0.2.0.0,18.0,lime,conda-forge/lime,,,,4960.0,4960.0,https://pypi.org/project/lime,,,285795.0,288079.0,https://anaconda.org/conda-forge/lime,2023-06-16 13:18:57.655,196433.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,, +206,TFlearn,tflearn/tflearn,ml-frameworks,,https://github.com/tflearn/tflearn,https://github.com/tflearn/tflearn,MIT,2016-03-31 12:05:53.000,2023-12-02 19:19:10.000000,2020-11-30 04:34:51,613.0,,2436.0,460.0,260.0,577.0,362.0,9607.0,Deep learning library featuring a higher-level API for TensorFlow.,128.0,32,False,2020-11-11 19:26:11.000,0.5.0,8.0,tflearn,,,,['tensorflow'],5265.0,4776.0,https://pypi.org/project/tflearn,2020-11-11 19:13:47.000,489.0,6291.0,6291.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +207,TPOT,EpistasisLab/tpot,hyperopt,,https://github.com/EpistasisLab/tpot,https://github.com/EpistasisLab/tpot,LGPL-3.0,2015-11-03 21:08:40.000,2023-12-12 17:39:59.000000,2023-12-08 19:12:48,2431.0,7.0,1542.0,290.0,429.0,281.0,637.0,9404.0,A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.,118.0,32,False,2023-08-15 18:22:07.000,0.12.1,62.0,tpot,conda-forge/tpot,,,['sklearn'],2642.0,2580.0,https://pypi.org/project/tpot,2023-08-15 18:22:07.000,62.0,37053.0,42595.0,https://anaconda.org/conda-forge/tpot,2023-08-15 22:49:07.495,243881.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +208,AutoKeras,keras-team/autokeras,hyperopt,,https://github.com/keras-team/autokeras,https://github.com/keras-team/autokeras,Apache-2.0,2017-11-19 23:18:20.000,2023-12-23 01:58:33.000000,2023-10-02 22:40:55,1387.0,,1406.0,303.0,889.0,129.0,758.0,9035.0,AutoML library for deep learning.,143.0,32,True,2023-01-28 18:46:30.271,1.1.0,58.0,autokeras,,,,['tensorflow'],640.0,627.0,https://pypi.org/project/autokeras,2023-01-28 18:46:30.271,13.0,12207.0,12443.0,,,,,,,,2.0,17761.0,,,,,,,,,,,,,,,,,,,, +209,Pyro,pyro-ppl/pyro,probabilistics,,https://github.com/pyro-ppl/pyro,https://github.com/pyro-ppl/pyro,Apache-2.0,2017-06-16 05:03:47.000,2024-01-31 22:49:01.000000,2024-01-21 21:20:59,2439.0,18.0,971.0,204.0,2264.0,241.0,827.0,8258.0,Deep universal probabilistic programming with Python and PyTorch.,148.0,32,True,2023-07-29 21:20:27.000,1.8.6,34.0,pyro-ppl,conda-forge/pyro-ppl,,,['pytorch'],116.0,,https://pypi.org/project/pyro-ppl,2023-07-29 21:09:56.000,116.0,285074.0,289030.0,https://anaconda.org/conda-forge/pyro-ppl,2023-07-29 23:12:47.995,138490.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +210,PaddleSeg,PaddlePaddle/PaddleSeg,image,,https://github.com/PaddlePaddle/PaddleSeg,https://github.com/PaddlePaddle/PaddleSeg,Apache-2.0,2019-08-26 02:32:22.000,2024-01-16 11:08:12.000000,2023-12-28 06:35:09,2895.0,7.0,1595.0,87.0,1625.0,381.0,1615.0,8006.0,"Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in..",118.0,32,True,2023-10-18 03:54:18.000,2.9.0,19.0,paddleseg,,,,['paddle'],1106.0,1106.0,https://pypi.org/project/paddleseg,,,1609.0,1609.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +211,Metaflow,Netflix/metaflow,ml-experiments,,https://github.com/Netflix/metaflow,https://github.com/Netflix/metaflow,Apache-2.0,2019-09-17 17:48:25.000,2024-01-31 21:58:47.000000,2024-01-30 21:58:34,836.0,32.0,708.0,275.0,1111.0,295.0,353.0,7326.0,"Build and manage real-life ML, AI, and data science projects with ease!.",79.0,32,True,2024-01-30 07:39:36.000,2.11.1,108.0,metaflow,conda-forge/metaflow,,,,609.0,582.0,https://pypi.org/project/metaflow,2024-01-30 07:39:36.000,27.0,138472.0,142191.0,https://anaconda.org/conda-forge/metaflow,2024-01-15 15:33:47.821,159940.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +212,featuretools,alteryx/featuretools,hyperopt,,https://github.com/alteryx/featuretools,https://github.com/alteryx/featuretools,BSD-3-Clause,2017-09-08 22:15:17.000,2024-01-19 21:04:16.000000,2023-12-07 16:30:16,1315.0,3.0,848.0,158.0,1656.0,172.0,804.0,6946.0,An open source python library for automated feature engineering.,71.0,32,True,2023-10-26 18:22:23.000,1.28.0,103.0,featuretools,conda-forge/featuretools,,,,1600.0,1522.0,https://pypi.org/project/featuretools,2023-10-26 18:22:23.000,78.0,50721.0,54719.0,https://anaconda.org/conda-forge/featuretools,2023-10-27 14:28:34.721,175931.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +213,DeepPavlov,deepmipt/DeepPavlov,nlp,,https://github.com/deeppavlov/DeepPavlov,https://github.com/deeppavlov/DeepPavlov,Apache-2.0,2017-11-17 14:35:29.000,2024-02-01 13:46:34.000000,2023-12-27 14:04:05,2705.0,6.0,1137.0,209.0,1045.0,20.0,614.0,6461.0,An open source library for deep learning end-to-end dialog systems and chatbots.,76.0,32,True,2023-12-27 14:49:16.000,1.5.0,62.0,deeppavlov,,,,['tensorflow'],381.0,374.0,https://pypi.org/project/deeppavlov,2023-12-27 14:44:59.000,7.0,8662.0,8662.0,,,,,,,,2.0,,,,deeppavlov/DeepPavlov,,,,,,,,,,,,,,,,, +214,tensorpack,tensorpack/tensorpack,ml-frameworks,,https://github.com/tensorpack/tensorpack,https://github.com/tensorpack/tensorpack,Apache-2.0,2015-12-25 23:08:44.000,2023-08-06 00:30:36.000000,2023-08-06 00:30:36,2944.0,,1850.0,200.0,206.0,12.0,1343.0,6296.0,"A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility.",58.0,32,True,2020-04-24 19:04:45.487,0.10.1,37.0,tensorpack,conda-forge/tensorpack,,,['tensorflow'],1500.0,1453.0,https://pypi.org/project/tensorpack,2021-01-22 19:59:12.425,47.0,8886.0,9255.0,https://anaconda.org/conda-forge/tensorpack,2023-06-16 19:27:42.012,10277.0,,,,,3.0,161.0,,,,,,,,,,,,,,,,,,,, +215,DEAP,deap/deap,distributed-ml,,https://github.com/DEAP/deap,https://github.com/DEAP/deap,LGPL-3.0,2014-05-21 20:07:39.000,2024-01-05 03:37:50.000000,2023-07-28 00:16:45,2332.0,,1075.0,191.0,233.0,271.0,280.0,5449.0,Distributed Evolutionary Algorithms in Python.,87.0,32,False,2023-07-21 10:51:54.000,1.4.1,27.0,deap,conda-forge/deap,,,,4736.0,4366.0,https://pypi.org/project/deap,2023-07-21 10:51:54.000,370.0,188512.0,197379.0,https://anaconda.org/conda-forge/deap,2023-09-25 01:16:08.711,354684.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +216,pyfolio,quantopian/pyfolio,financial-data,,https://github.com/quantopian/pyfolio,https://github.com/quantopian/pyfolio,Apache-2.0,2015-06-01 15:31:39.000,2023-12-23 06:14:58.000000,2020-07-15 13:46:58,1184.0,,1594.0,305.0,294.0,152.0,268.0,5327.0,Portfolio and risk analytics in Python.,59.0,32,False,2019-04-15 15:00:21.000,0.9.2,22.0,pyfolio,conda-forge/pyfolio,,,,981.0,947.0,https://pypi.org/project/pyfolio,2019-04-15 15:00:21.000,34.0,9137.0,9315.0,https://anaconda.org/conda-forge/pyfolio,2023-06-16 16:07:59.111,12837.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,, +217,MLxtend,rasbt/mlxtend,sklearn-utils,,https://github.com/rasbt/mlxtend,https://github.com/rasbt/mlxtend,,2014-08-14 01:56:16.000,2024-01-20 20:05:12.000000,2024-01-05 18:46:51,1637.0,3.0,840.0,119.0,523.0,140.0,337.0,4708.0,A library of extension and helper modules for Pythons data analysis and machine learning libraries.,103.0,32,False,2024-01-05 08:47:39.000,0.23.1,29.0,mlxtend,conda-forge/mlxtend,,,['sklearn'],12063.0,12063.0,https://pypi.org/project/mlxtend,,,659286.0,666195.0,https://anaconda.org/conda-forge/mlxtend,2024-01-05 18:58:45.309,297095.0,,,,,2.0,,-2.0,,,,,,,,,,,,,,,,,,, +218,River,online-ml/river,others,,https://github.com/online-ml/river,https://github.com/online-ml/river,BSD-3-Clause,2019-01-24 15:18:26.000,2024-02-01 01:52:20.000000,2024-01-20 10:03:24,3848.0,69.0,550.0,85.0,544.0,102.0,462.0,4625.0,Online machine learning in Python.,108.0,32,True,2023-12-05 09:29:54.000,0.21.0,20.0,river,conda-forge/river,,,,448.0,418.0,https://pypi.org/project/river,2023-12-05 00:13:21.000,30.0,20766.0,22319.0,https://anaconda.org/conda-forge/river,2023-10-06 14:40:00.791,52824.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +219,imutils,PyImageSearch/imutils,image,,https://github.com/PyImageSearch/imutils,https://github.com/PyImageSearch/imutils,MIT,2015-01-11 20:05:39.000,2024-01-27 06:33:38.000000,2022-01-27 13:24:16,139.0,,1009.0,153.0,115.0,150.0,79.0,4445.0,"A series of convenience functions to make basic image processing operations such as translation, rotation, resizing,..",21.0,32,False,2021-01-15 10:53:17.000,0.5.4,29.0,imutils,conda-forge/imutils,,,,41123.0,40273.0,https://pypi.org/project/imutils,2021-01-15 10:53:17.000,850.0,509452.0,513047.0,https://anaconda.org/conda-forge/imutils,2023-10-27 09:12:56.985,154599.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +220,ftfy,rspeer/python-ftfy,nlp,,https://github.com/rspeer/python-ftfy,https://github.com/rspeer/python-ftfy,Apache-2.0,2012-08-24 16:14:59.000,2023-11-22 19:57:21.457000,2023-11-21 23:43:00,614.0,5.0,152.0,76.0,66.0,17.0,120.0,3650.0,"Fixes mojibake and other glitches in Unicode text, after the fact.",18.0,32,True,2023-11-21 23:50:46.000,6.1.3,49.0,ftfy,conda-forge/ftfy,,,,17237.0,16598.0,https://pypi.org/project/ftfy,2023-11-21 23:50:46.000,639.0,4450664.0,4458244.0,https://anaconda.org/conda-forge/ftfy,2023-11-22 19:57:21.457,280463.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +221,tslearn,tslearn-team/tslearn,time-series-data,,https://github.com/tslearn-team/tslearn,https://github.com/tslearn-team/tslearn,BSD-2-Clause,2017-05-04 13:08:13.000,2024-01-19 14:21:36.000000,2024-01-19 08:29:16,1635.0,8.0,323.0,60.0,185.0,126.0,192.0,2715.0,The machine learning toolkit for time series analysis in Python.,43.0,32,True,2023-12-12 14:39:23.000,0.6.3,100.0,tslearn,conda-forge/tslearn,,,['sklearn'],1175.0,1126.0,https://pypi.org/project/tslearn,2023-12-12 14:39:23.000,49.0,297917.0,326822.0,https://anaconda.org/conda-forge/tslearn,2023-12-12 23:08:37.558,1271855.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +222,Haiku,deepmind/dm-haiku,ml-frameworks,,https://github.com/google-deepmind/dm-haiku,https://github.com/google-deepmind/dm-haiku,Apache-2.0,2020-02-18 07:14:02.000,2024-01-29 08:06:59.000000,2024-01-29 08:06:35,967.0,10.0,221.0,39.0,523.0,72.0,171.0,2685.0,JAX-based neural network library.,80.0,32,True,2023-11-10 14:04:37.000,0.0.11,14.0,dm-haiku,conda-forge/dm-haiku,,,,1775.0,1687.0,https://pypi.org/project/dm-haiku,2023-11-10 14:04:37.000,88.0,172152.0,172557.0,https://anaconda.org/conda-forge/dm-haiku,2023-11-16 14:41:40.026,14584.0,,,,,3.0,,,,google-deepmind/dm-haiku,,,,,,,,,,,,,,,,, +223,explainerdashboard,oegedijk/explainerdashboard,interpretability,,https://github.com/oegedijk/explainerdashboard,https://github.com/oegedijk/explainerdashboard,MIT,2019-10-30 08:26:16.000,2023-12-18 20:05:31.000000,2023-12-18 19:57:13,1353.0,11.0,303.0,22.0,44.0,34.0,200.0,2141.0,Quickly build Explainable AI dashboards that show the inner workings of so-called blackbox machine learning models.,21.0,32,True,2023-12-17 19:42:36.000,0.4.5,90.0,explainerdashboard,conda-forge/explainerdashboard,,,,444.0,434.0,https://pypi.org/project/explainerdashboard,2023-12-17 19:42:36.000,10.0,74286.0,75406.0,https://anaconda.org/conda-forge/explainerdashboard,2023-12-17 21:59:52.942,42597.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,, +224,pmdarima,alkaline-ml/pmdarima,time-series-data,,https://github.com/alkaline-ml/pmdarima,https://github.com/alkaline-ml/pmdarima,MIT,2017-03-30 14:58:30.000,2023-10-30 17:18:47.000000,2023-10-23 16:17:56,1077.0,,227.0,34.0,249.0,51.0,271.0,1484.0,"A statistical library designed to fill the void in Pythons time series analysis capabilities, including the equivalent..",22.0,32,True,2023-10-23 16:52:00.000,2.0.4,44.0,pmdarima,conda-forge/pmdarima,,,,7273.0,7184.0,https://pypi.org/project/pmdarima,2023-10-23 14:02:41.000,89.0,1939157.0,1964906.0,https://anaconda.org/conda-forge/pmdarima,2023-10-27 13:29:40.913,1029984.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +225,igraph,igraph/python-igraph,graph,,https://github.com/igraph/python-igraph,https://github.com/igraph/python-igraph,GPL-2.0,2015-01-08 23:55:16.000,2024-01-31 21:45:34.000000,2024-01-31 21:45:32,2793.0,39.0,242.0,34.0,204.0,38.0,495.0,1203.0,Python interface for igraph.,71.0,32,False,2023-11-20 11:06:49.000,0.11.3,26.0,python-igraph,conda-forge/igraph,,,,3778.0,3778.0,https://pypi.org/project/python-igraph,,,312459.0,330795.0,https://anaconda.org/conda-forge/igraph,2023-12-01 16:13:44.377,495597.0,,,,,1.0,562200.0,,,,,,,,,,,,,,,,,,,, +226,Satpy,pytroll/satpy,geospatial-data,,https://github.com/pytroll/satpy,https://github.com/pytroll/satpy,GPL-3.0,2016-02-09 20:29:43.000,2024-02-01 14:32:57.000000,2024-01-31 12:43:23,13000.0,425.0,277.0,35.0,1741.0,459.0,614.0,982.0,Python package for earth-observing satellite data processing.,149.0,32,False,2023-12-18 08:08:56.000,0.46.0,92.0,satpy,conda-forge/satpy,,,,136.0,118.0,https://pypi.org/project/satpy,2023-12-18 08:08:56.000,18.0,25280.0,29392.0,https://anaconda.org/conda-forge/satpy,2023-12-18 13:40:45.405,180932.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +227,Hail,hail-is/hail,medical-data,,https://github.com/hail-is/hail,https://github.com/hail-is/hail,MIT,2015-10-27 20:55:42.000,2024-02-01 14:42:43.000000,2024-02-01 14:42:43,11310.0,118.0,235.0,57.0,11918.0,204.0,2152.0,912.0,Cloud-native genomic dataframes and batch computing.,91.0,32,True,2024-01-12 18:15:13.000,0.2.127,147.0,hail,,,,['spark'],139.0,121.0,https://pypi.org/project/hail,2024-01-12 18:15:13.000,18.0,38546.0,38546.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +228,spleeter,deezer/spleeter,audio,,https://github.com/deezer/spleeter,https://github.com/deezer/spleeter,MIT,2019-09-26 15:40:46.000,2024-01-07 01:32:14.000000,2023-07-13 08:50:20,531.0,,2692.0,383.0,119.0,228.0,561.0,24417.0,Deezer source separation library including pretrained models.,19.0,31,True,2023-07-10 10:07:01.047,2.4.0,37.0,spleeter,conda-forge/spleeter,,,['tensorflow'],654.0,648.0,https://pypi.org/project/spleeter,2022-06-10 13:19:35.000,6.0,15144.0,72854.0,https://anaconda.org/conda-forge/spleeter,2023-06-16 16:18:57.741,79108.0,,,,,2.0,2920285.0,,,,,,,,,,,,,,,,,,,, +229,tinygrad,geohot/tinygrad,pytorch-utils,,https://github.com/tinygrad/tinygrad,https://github.com/tinygrad/tinygrad,MIT,2020-10-18 16:23:12.000,2024-02-01 14:42:48.000000,2024-02-01 08:10:11,3514.0,795.0,2440.0,269.0,2757.0,75.0,398.0,22159.0,You like pytorch? You like micrograd? You love tinygrad!.,268.0,31,True,2024-01-09 18:16:07.000,0.8.0,5.0,,,,,['pytorch'],41.0,41.0,,,,,,,,,,,,,1.0,,,,tinygrad/tinygrad,,,,,,,,,,,,,,,,, +230,ParlAI,facebookresearch/ParlAI,nlp,,https://github.com/facebookresearch/ParlAI,https://github.com/facebookresearch/ParlAI,MIT,2017-04-24 17:10:44.000,2023-11-03 14:30:00.000000,2023-11-03 14:30:00,4358.0,,2009.0,287.0,3401.0,50.0,1494.0,10403.0,A framework for training and evaluating AI models on a variety of openly available dialogue datasets.,217.0,31,True,2023-06-06 20:16:41.000,1.7.2,23.0,parlai,,,,['pytorch'],21.0,21.0,https://pypi.org/project/parlai,,,8235.0,8235.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +231,tsfresh,blue-yonder/tsfresh,time-series-data,,https://github.com/blue-yonder/tsfresh,https://github.com/blue-yonder/tsfresh,MIT,2016-10-26 11:29:17.000,2024-01-28 10:39:22.145000,2024-01-28 09:33:25,550.0,3.0,1203.0,168.0,428.0,63.0,470.0,7979.0,Automatic extraction of relevant features from time series:.,92.0,31,True,2024-01-28 09:46:21.000,0.20.2,31.0,tsfresh,conda-forge/tsfresh,,,['sklearn'],98.0,21.0,https://pypi.org/project/tsfresh,2024-01-28 09:46:21.000,77.0,209090.0,238657.0,https://anaconda.org/conda-forge/tsfresh,2024-01-28 10:39:22.145,1330517.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +232,cleanlab,cleanlab/cleanlab,others,,https://github.com/cleanlab/cleanlab,https://github.com/cleanlab/cleanlab,AGPL-3.0,2018-05-11 01:55:21.000,2024-01-31 18:15:32.000000,2024-01-26 04:21:06,1515.0,49.0,606.0,80.0,632.0,89.0,213.0,7766.0,"The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.",44.0,31,False,2023-09-11 17:53:22.000,2.5.0,24.0,cleanlab,conda-forge/cleanlab,,,,251.0,243.0,https://pypi.org/project/cleanlab,2023-09-11 17:53:22.000,8.0,13518.0,14099.0,https://anaconda.org/conda-forge/cleanlab,2023-09-12 22:14:32.939,19759.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +233,tensorboardX,lanpa/tensorboardX,ml-experiments,,https://github.com/lanpa/tensorboardX,https://github.com/lanpa/tensorboardX,MIT,2017-06-13 13:54:19.000,2023-11-12 14:28:03.000000,2023-11-12 14:28:03,528.0,1.0,870.0,86.0,274.0,78.0,376.0,7763.0,"tensorboard for pytorch (and chainer, mxnet, numpy, ...).",82.0,31,True,2023-07-30 14:05:26.000,2.6.2,24.0,tensorboardX,conda-forge/tensorboardx,,,,40288.0,39280.0,https://pypi.org/project/tensorboardX,2023-08-20 13:38:18.000,1008.0,2197259.0,2223682.0,https://anaconda.org/conda-forge/tensorboardx,2023-08-20 16:29:43.490,1135996.0,,,,,2.0,411.0,,,,,,,,,,,,,,,,,,,, +234,auto-sklearn,automl/auto-sklearn,hyperopt,,https://github.com/automl/auto-sklearn,https://github.com/automl/auto-sklearn,BSD-3-Clause,2015-07-02 15:38:10.000,2023-12-25 14:05:19.000000,2023-04-18 11:08:13,2759.0,,1267.0,215.0,711.0,186.0,828.0,7307.0,Automated Machine Learning with scikit-learn.,88.0,31,True,2023-02-13 12:35:21.000,0.15.0,42.0,auto-sklearn,conda-forge/auto-sklearn,,,['sklearn'],577.0,538.0,https://pypi.org/project/auto-sklearn,2022-09-20 10:32:07.471,39.0,17224.0,17836.0,https://anaconda.org/conda-forge/auto-sklearn,2023-06-16 19:25:30.278,20836.0,,,,,2.0,51.0,,,,,,,,,,,,,,,,,,,, +235,Bayesian Optimization,fmfn/BayesianOptimization,hyperopt,,https://github.com/bayesian-optimization/BayesianOptimization,https://github.com/bayesian-optimization/BayesianOptimization,MIT,2014-06-06 08:18:56.000,2024-01-31 21:25:37.000000,2024-01-22 12:10:22,357.0,3.0,1455.0,135.0,132.0,13.0,313.0,7286.0,A Python implementation of global optimization with gaussian processes.,44.0,31,True,2023-04-25 22:00:01.831,1.4.3,14.0,bayesian-optimization,,,,,2465.0,2346.0,https://pypi.org/project/bayesian-optimization,2023-04-25 22:00:01.831,119.0,250454.0,250455.0,,,,,,,,2.0,141.0,,,bayesian-optimization/BayesianOptimization,,,,,,,,,,,,,,,,, +236,Perspective,finos/perspective,data-viz,,https://github.com/finos/perspective,https://github.com/finos/perspective,Apache-2.0,2017-11-02 16:27:54.000,2024-01-30 20:39:50.000000,2024-01-22 01:39:06,5898.0,114.0,920.0,112.0,1602.0,92.0,626.0,7118.0,"A data visualization and analytics component, especially well-suited for large and/or streaming datasets.",93.0,31,True,2023-11-29 21:48:30.000,2.7.1,117.0,perspective-python,conda-forge/perspective,,,['jupyter'],131.0,113.0,https://pypi.org/project/perspective-python,2023-11-29 16:47:42.000,15.0,6413.0,18814.0,https://anaconda.org/conda-forge/perspective,2023-12-04 04:58:10.833,510806.0,,,,,2.0,2033.0,,,,@finos/perspective-jupyterlab,https://www.npmjs.com/package/@finos/perspective-jupyterlab,2023-11-29 16:47:08.922,3.0,502.0,,,,,,,,,,,, +237,Darts,unit8co/darts,time-series-data,,https://github.com/unit8co/darts,https://github.com/unit8co/darts,Apache-2.0,2018-09-13 15:17:28.000,2024-02-01 14:40:38.000000,2024-01-29 15:12:28,1137.0,41.0,767.0,61.0,900.0,234.0,1075.0,6936.0,A python library for user-friendly forecasting and anomaly detection on time series.,111.0,31,True,2024-01-21 16:13:43.000,0.27.2,40.0,u8darts,conda-forge/u8darts-all,unit8/darts,,,507.0,502.0,https://pypi.org/project/u8darts,2024-01-21 16:13:43.000,5.0,20660.0,21941.0,https://anaconda.org/conda-forge/u8darts-all,2024-01-21 21:20:33.765,39523.0,https://hub.docker.com/r/unit8/darts,2024-01-21 16:15:31.089895,,513.0,2.0,,,,,,,,,,,,,,,,,,,,, +238,DoWhy,py-why/dowhy,interpretability,,https://github.com/py-why/dowhy,https://github.com/py-why/dowhy,MIT,2018-05-31 13:07:04.000,2024-01-30 18:44:47.000000,2024-01-30 15:48:40,988.0,70.0,873.0,137.0,672.0,125.0,306.0,6539.0,DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions...,83.0,31,True,2023-12-25 07:08:29.000,0.11.1,15.0,dowhy,conda-forge/dowhy,,,,323.0,323.0,https://pypi.org/project/dowhy,,,39224.0,39704.0,https://anaconda.org/conda-forge/dowhy,2024-01-26 10:57:10.385,18735.0,,,,,2.0,33.0,,,,,,,,,,,,,,,,,,,, +239,skorch,skorch-dev/skorch,ml-frameworks,,https://github.com/skorch-dev/skorch,https://github.com/skorch-dev/skorch,BSD-3-Clause,2017-07-18 00:13:54.000,2024-01-29 10:20:00.000000,2024-01-08 14:32:50,1082.0,6.0,369.0,82.0,524.0,52.0,450.0,5550.0,A scikit-learn compatible neural network library that wraps PyTorch.,61.0,31,True,2023-09-04 10:10:59.000,0.15.0,19.0,skorch,conda-forge/skorch,,,"['pytorch', 'sklearn']",1146.0,1092.0,https://pypi.org/project/skorch,2023-09-04 09:59:43.000,54.0,63960.0,82942.0,https://anaconda.org/conda-forge/skorch,2023-09-06 08:43:59.780,778288.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +240,D-Tale,man-group/dtale,data-viz,,https://github.com/man-group/dtale,https://github.com/man-group/dtale,LGPL-2.1,2019-07-15 09:34:48.000,2024-01-31 21:54:07.762000,2024-01-31 21:05:41,785.0,20.0,374.0,74.0,283.0,59.0,507.0,4424.0,Visualizer for pandas data structures.,30.0,31,True,2024-01-31 21:35:10.000,3.10.0,180.0,dtale,conda-forge/dtale,,,"['pandas', 'jupyter']",1027.0,1004.0,https://pypi.org/project/dtale,2024-01-31 21:35:10.000,23.0,101266.0,107139.0,https://anaconda.org/conda-forge/dtale,2024-01-31 21:54:07.762,264306.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +241,Dedupe,dedupeio/dedupe,nlp,,https://github.com/dedupeio/dedupe,https://github.com/dedupeio/dedupe,MIT,2012-04-20 14:57:36.000,2024-01-29 02:48:33.000000,2023-12-19 14:36:52,3303.0,29.0,522.0,120.0,368.0,75.0,736.0,3908.0,"A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.",70.0,31,True,2023-02-17 16:58:05.493,2.0.23,174.0,dedupe,conda-forge/dedupe,,,,359.0,310.0,https://pypi.org/project/dedupe,2023-02-17 16:58:05.493,49.0,63947.0,65578.0,https://anaconda.org/conda-forge/dedupe,2023-06-16 19:28:08.623,42409.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +242,nevergrad,facebookresearch/nevergrad,hyperopt,,https://github.com/facebookresearch/nevergrad,https://github.com/facebookresearch/nevergrad,MIT,2018-11-21 00:33:17.000,2024-01-31 21:00:58.000000,2024-01-17 08:40:34,1084.0,13.0,345.0,60.0,1339.0,122.0,173.0,3797.0,A Python toolbox for performing gradient-free optimization.,53.0,31,True,2023-11-19 06:44:47.000,1.0.1,46.0,nevergrad,conda-forge/nevergrad,,,,646.0,613.0,https://pypi.org/project/nevergrad,2023-11-19 06:44:47.000,33.0,65302.0,66311.0,https://anaconda.org/conda-forge/nevergrad,2024-01-09 16:02:07.312,45431.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +243,NeuralProphet,ourownstory/neural_prophet,time-series-data,,https://github.com/ourownstory/neural_prophet,https://github.com/ourownstory/neural_prophet,MIT,2020-05-04 05:12:43.000,2024-02-01 00:53:17.000000,2024-01-17 00:53:36,1401.0,17.0,447.0,52.0,754.0,42.0,464.0,3522.0,NeuralProphet: A simple forecasting package.,51.0,31,True,2023-06-14 22:41:07.000,0.6.2,28.0,neuralprophet,,,,['pytorch'],370.0,365.0,https://pypi.org/project/neuralprophet,2023-12-11 20:39:24.000,5.0,82250.0,82250.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +244,dyNET,clab/dynet,ml-frameworks,,https://github.com/clab/dynet,https://github.com/clab/dynet,Apache-2.0,2015-02-08 23:09:21.000,2023-12-01 17:10:01.000000,2023-11-08 12:40:01,3273.0,1.0,703.0,186.0,737.0,262.0,669.0,3402.0,DyNet: The Dynamic Neural Network Toolkit.,160.0,31,True,2020-10-21 14:31:01.000,2.1.2,24.0,dyNET,,,,,283.0,254.0,https://pypi.org/project/dyNET,2020-10-21 14:31:01.000,29.0,282288.0,282454.0,,,,,,,,3.0,14692.0,,,,,,,,,,,,,,,,,,,, +245,datashader,holoviz/datashader,data-viz,,https://github.com/holoviz/datashader,https://github.com/holoviz/datashader,BSD-3-Clause,2015-12-23 18:02:20.000,2024-02-01 11:08:23.000000,2024-01-08 13:11:42,1490.0,2.0,366.0,91.0,735.0,133.0,441.0,3146.0,Quickly and accurately render even the largest data.,54.0,31,True,2023-10-26 15:10:16.000,0.16.0,42.0,datashader,conda-forge/datashader,,,,3651.0,3518.0,https://pypi.org/project/datashader,2023-10-31 11:50:35.000,133.0,86412.0,103036.0,https://anaconda.org/conda-forge/datashader,2023-10-27 12:10:53.716,748123.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +246,filterpy,rlabbe/filterpy,probabilistics,,https://github.com/rlabbe/filterpy,https://github.com/rlabbe/filterpy,MIT,2014-07-15 02:15:19.000,2024-01-29 14:32:13.000000,2022-08-22 18:21:12,586.0,,574.0,77.0,77.0,63.0,161.0,3014.0,"Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman..",43.0,31,False,,,5.0,filterpy,conda-forge/filterpy,,,,5020.0,5020.0,https://pypi.org/project/filterpy,,,2113013.0,2116014.0,https://anaconda.org/conda-forge/filterpy,2023-06-16 13:24:39.196,240145.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +247,ImageHash,JohannesBuchner/imagehash,image,,https://github.com/JohannesBuchner/imagehash,https://github.com/JohannesBuchner/imagehash,BSD-2-Clause,2013-03-02 23:32:48.000,2023-12-13 21:21:22.000000,2023-10-24 18:29:08,333.0,,324.0,67.0,75.0,9.0,121.0,2949.0,A Python Perceptual Image Hashing Module.,26.0,31,True,2022-09-28 08:48:24.658,4.3.1,20.0,ImageHash,conda-forge/imagehash,,,,12246.0,11862.0,https://pypi.org/project/ImageHash,2022-09-28 08:48:24.658,384.0,1093986.0,1098039.0,https://anaconda.org/conda-forge/imagehash,2023-06-16 13:23:10.041,352640.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +248,Keras Tuner,keras-team/keras-tuner,hyperopt,,https://github.com/keras-team/keras-tuner,https://github.com/keras-team/keras-tuner,Apache-2.0,2019-06-06 22:38:21.000,2023-12-27 20:29:35.000000,2023-11-29 20:31:13,1079.0,9.0,382.0,63.0,487.0,201.0,268.0,2795.0,A Hyperparameter Tuning Library for Keras.,60.0,31,True,2023-11-07 19:38:18.000,1.4.6,34.0,keras-tuner,conda-forge/keras-tuner,,,['tensorflow'],3217.0,3155.0,https://pypi.org/project/keras-tuner,2023-11-07 19:38:18.000,62.0,146667.0,147597.0,https://anaconda.org/conda-forge/keras-tuner,2023-11-10 05:23:26.167,27904.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +249,FairScale,facebookresearch/fairscale,distributed-ml,,https://github.com/facebookresearch/fairscale,https://github.com/facebookresearch/fairscale,BSD-3-Clause,2020-07-07 19:02:01.000,2024-01-24 20:49:39.000000,2023-04-20 03:41:53,699.0,,245.0,38.0,805.0,71.0,282.0,2743.0,PyTorch extensions for high performance and large scale training.,72.0,31,True,2022-12-11 18:09:31.906,0.4.13,35.0,fairscale,conda-forge/fairscale,,,['pytorch'],4151.0,4085.0,https://pypi.org/project/fairscale,2022-12-11 18:09:31.906,66.0,422547.0,428884.0,https://anaconda.org/conda-forge/fairscale,2023-11-28 00:29:10.363,171102.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +250,lightly,lightly-ai/lightly,image,,https://github.com/lightly-ai/lightly,https://github.com/lightly-ai/lightly,MIT,2020-10-13 13:02:56.000,2024-02-01 14:13:54.000000,2024-02-01 08:27:30,1146.0,33.0,230.0,26.0,988.0,100.0,402.0,2675.0,A python library for self-supervised learning on images.,36.0,31,True,2024-01-24 16:34:00.000,1.4.26,113.0,lightly,,,,['pytorch'],213.0,206.0,https://pypi.org/project/lightly,2024-01-24 16:35:38.000,7.0,20611.0,20611.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +251,doctr,mindee/doctr,image,,https://github.com/mindee/doctr,https://github.com/mindee/doctr,Apache-2.0,2021-01-08 16:05:12.000,2024-02-01 08:47:26.000000,2024-01-26 18:39:31,796.0,22.0,312.0,40.0,872.0,40.0,257.0,2659.0,"docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by..",42.0,31,True,2023-09-09 13:24:13.000,0.7.0,13.0,python-doctr,,,,"['tensorflow', 'pytorch']",242.0,239.0,https://pypi.org/project/python-doctr,2023-09-09 13:24:13.000,3.0,15843.0,80245.0,,,,,,,,2.0,2318496.0,,,,,,,,,,,,,,,,,,,, +252,pgmpy,pgmpy/pgmpy,probabilistics,,https://github.com/pgmpy/pgmpy,https://github.com/pgmpy/pgmpy,MIT,2013-09-20 08:18:58.000,2024-01-31 04:06:19.000000,2024-01-30 06:50:46,2931.0,9.0,687.0,78.0,851.0,257.0,622.0,2556.0,"Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in..",122.0,31,True,2023-10-16 21:49:45.000,0.1.24,24.0,pgmpy,,,,,877.0,845.0,https://pypi.org/project/pgmpy,2023-10-16 20:46:07.000,32.0,46389.0,46395.0,,,,,,,,2.0,307.0,,,,,,,,,,,,,,,,,,,, +253,TFX,tensorflow/tfx,tensorflow-utils,,https://github.com/tensorflow/tfx,https://github.com/tensorflow/tfx,Apache-2.0,2019-02-04 17:14:36.000,2024-02-01 08:18:42.000000,2024-02-01 08:18:37,5513.0,140.0,699.0,88.0,5719.0,201.0,849.0,2052.0,TFX is an end-to-end platform for deploying production ML pipelines.,182.0,31,True,2023-09-06 22:01:30.000,1.14.0,95.0,tfx,,,,['tensorflow'],14.0,,https://pypi.org/project/tfx,2023-09-06 22:01:30.000,14.0,48723.0,48723.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +254,ArcGIS API,Esri/arcgis-python-api,geospatial-data,,https://github.com/Esri/arcgis-python-api,https://github.com/Esri/arcgis-python-api,Apache-2.0,2016-03-16 01:09:14.000,2024-01-31 21:30:45.000000,2024-01-31 10:27:10,4143.0,17.0,1075.0,154.0,1090.0,52.0,610.0,1713.0,Documentation and samples for ArcGIS API for Python.,89.0,31,True,2023-10-03 15:37:18.000,2.2.0,40.0,arcgis,,esridocker/arcgis-api-python-notebook,,,37.0,4.0,https://pypi.org/project/arcgis,2023-12-12 19:09:17.000,33.0,109459.0,109574.0,,,,https://hub.docker.com/r/esridocker/arcgis-api-python-notebook,,,,3.0,10320.0,,,,,,,,,,,,,,,,,,,, +255,evaluate,huggingface/evaluate,interpretability,,https://github.com/huggingface/evaluate,https://github.com/huggingface/evaluate,Apache-2.0,2022-03-30 15:08:26.000,2024-01-31 22:26:36.000000,2023-12-27 10:12:23,938.0,2.0,206.0,48.0,308.0,127.0,122.0,1699.0,Evaluate: A library for easily evaluating machine learning models and datasets.,124.0,31,True,2023-10-13 15:57:18.000,0.4.1,14.0,evaluate,,,,,6569.0,6406.0,https://pypi.org/project/evaluate,2023-10-13 15:54:47.000,163.0,2665868.0,2665868.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +256,equinox,patrick-kidger/equinox,jax-utils,,https://github.com/patrick-kidger/equinox,https://github.com/patrick-kidger/equinox,Apache-2.0,2021-07-29 02:21:39.000,2024-01-30 10:41:30.000000,2024-01-11 00:02:53,859.0,50.0,107.0,21.0,343.0,92.0,216.0,1652.0,Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/.,45.0,31,True,2024-01-10 21:26:20.000,0.11.3,47.0,equinox,,,,['jax'],451.0,396.0,https://pypi.org/project/equinox,2024-01-10 21:26:20.000,55.0,90050.0,90050.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,, +257,Geocoder,DenisCarriere/geocoder,geospatial-data,,https://github.com/DenisCarriere/geocoder,https://github.com/DenisCarriere/geocoder,MIT,2014-01-13 04:19:21.000,2023-11-20 21:01:48.000000,2018-10-12 15:53:05,1251.0,,282.0,51.0,157.0,104.0,218.0,1572.0,Python Geocoder.,73.0,31,False,2021-12-15 15:58:16.110,1.1.4,110.0,geocoder,conda-forge/geocoder,,,,9419.0,8888.0,https://pypi.org/project/geocoder,2021-12-15 15:58:16.110,531.0,412992.0,414620.0,https://anaconda.org/conda-forge/geocoder,2023-06-16 13:21:27.128,136804.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,geocoder, +258,pingouin,raphaelvallat/pingouin,probabilistics,,https://github.com/raphaelvallat/pingouin,https://github.com/raphaelvallat/pingouin,GPL-3.0,2018-04-01 01:10:22.000,2024-01-29 13:43:05.000000,2024-01-29 13:42:57,1244.0,17.0,132.0,30.0,103.0,30.0,248.0,1479.0,Statistical package in Python based on Pandas.,43.0,31,False,2024-01-13 15:48:45.000,0.5.4,39.0,pingouin,conda-forge/pingouin,,,,1723.0,1723.0,https://pypi.org/project/pingouin,,,66835.0,69388.0,https://anaconda.org/conda-forge/pingouin,2024-01-15 09:58:06.763,112373.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +259,TF Model Optimization,tensorflow/model-optimization,tensorflow-utils,,https://github.com/tensorflow/model-optimization,https://github.com/tensorflow/model-optimization,Apache-2.0,2018-10-31 20:34:28.000,2024-01-28 07:41:40.000000,2024-01-05 01:33:47,818.0,3.0,320.0,120.0,769.0,205.0,166.0,1448.0,"A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.",83.0,31,True,2023-05-26 02:36:01.000,0.7.5,30.0,tensorflow-model-optimization,,,,['tensorflow'],3495.0,3465.0,https://pypi.org/project/tensorflow-model-optimization,2023-05-26 02:35:42.850,30.0,645394.0,645394.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +260,emcee,dfm/emcee,probabilistics,,https://github.com/dfm/emcee,https://github.com/dfm/emcee,MIT,2011-11-07 16:17:08.000,2024-01-29 21:02:59.000000,2024-01-29 21:02:59,938.0,11.0,427.0,87.0,218.0,49.0,235.0,1397.0,The Python ensemble sampling toolkit for affine-invariant MCMC.,73.0,31,True,2023-02-02 20:53:47.943,3.1.0,24.0,emcee,conda-forge/emcee,,,,2599.0,2233.0,https://pypi.org/project/emcee,2023-02-02 20:53:47.943,366.0,130281.0,133724.0,https://anaconda.org/conda-forge/emcee,2023-06-16 13:16:26.628,320214.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +261,lets-plot,JetBrains/lets-plot,data-viz,,https://github.com/JetBrains/lets-plot,https://github.com/JetBrains/lets-plot,MIT,2019-03-20 16:13:03.000,2024-02-01 10:27:15.000000,2024-02-01 01:06:00,3791.0,195.0,46.0,163.0,497.0,124.0,371.0,1360.0,Multiplatform plotting library based on Grammar of Graphics.,20.0,31,True,2023-12-28 14:30:03.000,4.2.0,68.0,lets-plot,,,,,59.0,57.0,https://pypi.org/project/lets-plot,2023-12-28 13:56:03.000,2.0,26214.0,26225.0,,,,,,,,2.0,595.0,,,,,,,,,,,,,,,,,,,, +262,pyjanitor,pyjanitor-devs/pyjanitor,others,,https://github.com/pyjanitor-devs/pyjanitor,https://github.com/pyjanitor-devs/pyjanitor,MIT,2018-03-04 22:43:33.000,2024-01-30 12:02:57.000000,2024-01-30 12:00:27,1528.0,18.0,163.0,17.0,779.0,106.0,439.0,1247.0,Clean APIs for data cleaning. Python implementation of R package Janitor.,107.0,31,True,2023-09-18 03:57:15.000,0.26.0,51.0,pyjanitor,conda-forge/pyjanitor,,,,533.0,533.0,https://pypi.org/project/pyjanitor,,,194820.0,197465.0,https://anaconda.org/conda-forge/pyjanitor,2023-06-16 16:12:04.304,187819.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +263,arch,bashtage/arch,financial-data,,https://github.com/bashtage/arch,https://github.com/bashtage/arch,,2014-08-29 15:41:28.000,2024-01-25 23:48:17.000000,2024-01-05 16:06:48,1120.0,14.0,277.0,45.0,510.0,27.0,182.0,1225.0,ARCH models in Python.,35.0,31,False,2024-01-05 08:24:51.000,6.3.0,46.0,arch,conda-forge/arch-py,,,,1446.0,1376.0,https://pypi.org/project/arch,2024-01-05 08:24:51.000,70.0,280231.0,286566.0,https://anaconda.org/conda-forge/arch-py,2024-01-05 09:54:56.136,278761.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +264,hvPlot,holoviz/hvplot,data-viz,,https://github.com/holoviz/hvplot,https://github.com/holoviz/hvplot,BSD-3-Clause,2018-03-19 14:22:41.000,2024-02-01 00:32:59.000000,2024-01-31 07:12:01,654.0,31.0,94.0,23.0,503.0,319.0,400.0,891.0,"A high-level plotting API for pandas, dask, xarray, and networkx built on HoloViews.",46.0,31,True,2024-01-30 08:44:06.000,0.9.2,65.0,hvplot,conda-forge/hvplot,,,,4438.0,4329.0,https://pypi.org/project/hvplot,2024-01-29 16:25:57.000,109.0,153449.0,165272.0,https://anaconda.org/conda-forge/hvplot,2024-01-30 08:55:28.301,520212.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +265,geojson,jazzband/geojson,geospatial-data,,https://github.com/jazzband/geojson,https://github.com/jazzband/geojson,BSD-3-Clause,2011-07-01 20:39:48.000,2024-01-01 17:28:43.000000,2023-11-06 00:17:47,493.0,4.0,122.0,33.0,127.0,27.0,74.0,859.0,Python bindings and utilities for GeoJSON.,56.0,31,True,2023-11-05 21:06:50.000,3.1.0,31.0,geojson,conda-forge/geojson,,,,17611.0,16345.0,https://pypi.org/project/geojson,2023-11-05 21:06:50.000,1266.0,1392092.0,1456936.0,https://anaconda.org/conda-forge/geojson,2023-11-06 11:21:40.354,778132.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +266,snowballstemmer,snowballstem/snowball,nlp,,https://github.com/snowballstem/snowball,https://github.com/snowballstem/snowball,BSD-3-Clause,2013-02-23 07:17:42.000,2024-01-30 04:30:08.000000,2024-01-30 04:28:17,1054.0,8.0,170.0,35.0,114.0,31.0,59.0,707.0,Snowball compiler and stemming algorithms.,34.0,31,True,2021-11-16 18:38:34.000,2.2.0,10.0,snowballstemmer,conda-forge/snowballstemmer,,,,6833.0,5.0,https://pypi.org/project/snowballstemmer,2021-11-16 18:38:34.000,6828.0,10509022.0,10593652.0,https://anaconda.org/conda-forge/snowballstemmer,2023-06-16 13:16:49.834,7616781.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +267,tensorflow-upstream,ROCmSoftwarePlatform/tensorflow-upstream,ml-frameworks,,https://github.com/ROCm/tensorflow-upstream,https://github.com/ROCm/tensorflow-upstream,Apache-2.0,2018-04-09 21:24:50.000,2024-01-31 16:42:44.000000,2024-01-26 04:40:28,163067.0,2881.0,86.0,52.0,2027.0,105.0,282.0,669.0,TensorFlow ROCm port.,4559.0,31,True,2022-12-06 16:42:53.965,2.9.4,100.0,tensorflow-rocm,,,,['tensorflow'],6.0,,https://pypi.org/project/tensorflow-rocm,2024-01-10 14:33:03.000,6.0,4887.0,4887.0,,,,,,,,3.0,21.0,,,ROCm/tensorflow-upstream,,,,,,,,,,,,,,,,, +268,audioread,beetbox/audioread,audio,,https://github.com/beetbox/audioread,https://github.com/beetbox/audioread,MIT,2011-11-08 19:53:18.000,2023-12-15 12:50:52.000000,2023-12-15 12:50:52,282.0,5.0,107.0,24.0,52.0,35.0,56.0,466.0,cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio decoding for Python.,25.0,31,True,2023-09-27 19:27:51.000,3.0.1,27.0,audioread,conda-forge/audioread,,,,18292.0,17927.0,https://pypi.org/project/audioread,2023-09-27 19:27:51.000,365.0,1859130.0,1877573.0,https://anaconda.org/conda-forge/audioread,2023-09-30 21:07:31.348,737741.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +269,CNTK,microsoft/CNTK,ml-frameworks,,https://github.com/microsoft/CNTK,https://github.com/microsoft/CNTK,MIT,2015-11-26 09:52:06.000,2023-03-11 07:31:35.000000,2022-09-23 14:06:50,16117.0,,4382.0,1257.0,557.0,836.0,2543.0,17427.0,"Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit.",274.0,30,False,2019-04-26 14:13:32.000,2.7,32.0,cntk,,,,,21.0,2.0,https://pypi.org/project/cntk,2020-12-09 22:21:57.000,19.0,593.0,740.0,,,,,,,,3.0,14346.0,,,,,,,,,,,,,,,,,,,, +270,Turi Create,apple/turicreate,ml-frameworks,,https://github.com/apple/turicreate,https://github.com/apple/turicreate,BSD-3-Clause,2017-12-01 00:42:04.000,2023-11-01 06:14:06.000000,2021-11-29 19:55:31,1571.0,,1159.0,336.0,1683.0,523.0,1294.0,11141.0,Turi Create simplifies the development of custom machine learning models.,86.0,30,False,2020-09-30 22:51:40.000,6.4.1,31.0,turicreate,,,,,42.0,21.0,https://pypi.org/project/turicreate,2020-09-30 22:51:40.000,21.0,42795.0,42925.0,,,,,,,,3.0,9622.0,,,,,,,,,,,,,,,,,,,, +271,PyTorch3D,facebookresearch/pytorch3d,image,,https://github.com/facebookresearch/pytorch3d,https://github.com/facebookresearch/pytorch3d,,2019-10-25 02:23:45.000,2024-01-31 15:48:28.000000,2024-01-31 15:43:49,1135.0,24.0,1195.0,146.0,156.0,228.0,1226.0,8034.0,PyTorch3D is FAIRs library of reusable components for deep learning with 3D data.,136.0,30,False,2023-10-31 20:06:30.000,0.7.5,17.0,pytorch3d,pytorch3d/pytorch3d,,,['pytorch'],699.0,699.0,https://pypi.org/project/pytorch3d,,,4212.0,7811.0,https://anaconda.org/pytorch3d/pytorch3d,2023-10-31 20:03:11.190,183565.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +272,Apex,NVIDIA/apex,gpu-utilities,,https://github.com/NVIDIA/apex,https://github.com/NVIDIA/apex,BSD-3-Clause,2018-04-23 16:28:52.000,2024-01-31 06:56:36.000000,2024-01-25 04:40:36,1165.0,21.0,1251.0,101.0,624.0,673.0,517.0,7835.0,A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch.,125.0,30,True,,,3.0,,conda-forge/nvidia-apex,,,['pytorch'],2235.0,2235.0,,,,,4558.0,https://anaconda.org/conda-forge/nvidia-apex,2024-01-12 02:06:46.952,182331.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +273,CleverHans,cleverhans-lab/cleverhans,adversarial,,https://github.com/cleverhans-lab/cleverhans,https://github.com/cleverhans-lab/cleverhans,MIT,2016-09-15 00:28:04.000,2024-01-31 07:05:16.000000,2023-01-31 19:40:04,3203.0,,1394.0,190.0,784.0,40.0,423.0,6009.0,"An adversarial example library for constructing attacks, building defenses, and benchmarking both.",131.0,30,False,2021-07-24 08:53:21.000,4.0.0,8.0,cleverhans,conda-forge/cleverhans,,,['tensorflow'],595.0,583.0,https://pypi.org/project/cleverhans,2021-07-24 08:53:21.000,12.0,1106.0,1275.0,https://anaconda.org/conda-forge/cleverhans,2023-06-16 19:20:32.486,7466.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +274,kaggle,Kaggle/kaggle-api,ml-experiments,,https://github.com/Kaggle/kaggle-api,https://github.com/Kaggle/kaggle-api,Apache-2.0,2018-01-25 03:02:39.000,2024-01-31 01:15:21.067000,2024-01-23 12:41:45,154.0,2.0,1054.0,195.0,99.0,145.0,295.0,5761.0,Official Kaggle API.,37.0,30,True,2024-01-30 23:23:10.000,1.6.4,64.0,kaggle,conda-forge/kaggle,,,,406.0,21.0,https://pypi.org/project/kaggle,2024-01-30 23:23:10.000,385.0,212758.0,216244.0,https://anaconda.org/conda-forge/kaggle,2024-01-31 01:15:21.067,142948.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +275,lightfm,lyst/lightfm,recommender-systems,,https://github.com/lyst/lightfm,https://github.com/lyst/lightfm,Apache-2.0,2015-07-30 08:34:00.000,2023-12-24 09:12:15.000000,2023-04-30 18:36:20,483.0,,662.0,89.0,206.0,140.0,356.0,4532.0,"A Python implementation of LightFM, a hybrid recommendation algorithm.",47.0,30,True,2023-03-20 04:08:46.000,1.17,15.0,lightfm,conda-forge/lightfm,,,,1395.0,1345.0,https://pypi.org/project/lightfm,2023-03-20 04:15:00.582,50.0,584744.0,587073.0,https://anaconda.org/conda-forge/lightfm,2023-06-16 16:08:40.466,170061.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,, +276,aim,aimhubio/aim,ml-experiments,,https://github.com/aimhubio/aim,https://github.com/aimhubio/aim,Apache-2.0,2019-05-31 18:25:07.000,2024-01-31 20:01:51.000000,2024-01-28 15:27:35,2147.0,6.0,277.0,43.0,2117.0,332.0,645.0,4526.0,Aim An easy-to-use & supercharged open-source experiment tracker.,59.0,30,True,2023-06-02 08:59:51.000,3.17.5,55.0,aim,conda-forge/aim,,,,425.0,425.0,https://pypi.org/project/aim,,,64947.0,66294.0,https://anaconda.org/conda-forge/aim,2023-06-16 19:26:46.894,41762.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +277,pandas-ta,twopirllc/pandas-ta,probabilistics,,https://github.com/twopirllc/pandas-ta,https://github.com/twopirllc/pandas-ta,MIT,2019-02-19 16:41:09.000,2024-01-30 20:44:21.000000,2022-09-24 16:20:26,585.0,,875.0,93.0,209.0,102.0,440.0,4407.0,Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 130+ Indicators.,45.0,30,False,2021-07-28 20:21:21.000,0.3.14,19.0,pandas-ta,conda-forge/pandas-ta,,,['pandas'],3659.0,3608.0,https://pypi.org/project/pandas-ta,2021-07-28 20:51:17.000,51.0,98433.0,99139.0,https://anaconda.org/conda-forge/pandas-ta,2023-06-16 19:27:34.124,19792.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +278,GluonTS,awslabs/gluon-ts,time-series-data,,https://github.com/awslabs/gluonts,https://github.com/awslabs/gluonts,Apache-2.0,2019-05-15 17:17:29.000,2024-01-31 18:37:57.000000,2024-01-15 15:11:42,1441.0,16.0,751.0,75.0,1769.0,295.0,624.0,4050.0,Probabilistic time series modeling in Python.,111.0,30,True,2023-12-07 09:10:45.000,0.14.3,107.0,gluonts,anaconda/gluonts,,,['mxnet'],16.0,,https://pypi.org/project/gluonts,2023-12-07 09:10:45.000,16.0,185533.0,185558.0,https://anaconda.org/anaconda/gluonts,2023-12-22 09:31:03.436,710.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +279,cuML,rapidsai/cuml,gpu-utilities,,https://github.com/rapidsai/cuml,https://github.com/rapidsai/cuml,Apache-2.0,2018-10-11 15:45:35.000,2024-02-01 09:31:35.000000,2024-01-31 00:27:14,15343.0,47.0,493.0,70.0,3388.0,839.0,1542.0,3785.0,cuML - RAPIDS Machine Learning Library.,168.0,30,True,2023-12-06 19:20:46.000,23.12.00,36.0,cuml,,,,,6.0,,https://pypi.org/project/cuml,2020-06-01 20:09:10.000,6.0,2062.0,2062.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +280,gpustat,wookayin/gpustat,gpu-utilities,,https://github.com/wookayin/gpustat,https://github.com/wookayin/gpustat,MIT,2016-04-24 10:46:43.000,2024-01-12 14:48:30.000000,2024-01-12 14:48:30,249.0,6.0,267.0,47.0,50.0,26.0,94.0,3741.0,A simple command-line utility for querying and monitoring GPU status.,17.0,30,True,2023-08-22 19:40:33.000,1.1.1,15.0,gpustat,conda-forge/gpustat,,,,4779.0,4645.0,https://pypi.org/project/gpustat,2023-08-22 19:39:06.000,134.0,1029266.0,1036356.0,https://anaconda.org/conda-forge/gpustat,2023-08-23 10:35:25.821,276510.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +281,bqplot,bqplot/bqplot,data-viz,,https://github.com/bqplot/bqplot,https://github.com/bqplot/bqplot,Apache-2.0,2015-09-26 04:02:18.000,2024-01-30 15:36:10.000000,2023-10-04 07:40:23,3656.0,,474.0,100.0,1044.0,254.0,368.0,3521.0,Plotting library for IPython/Jupyter notebooks.,64.0,30,True,2023-10-17 15:07:51.000,0.12.42,110.0,bqplot,conda-forge/bqplot,,,['jupyter'],176.0,53.0,https://pypi.org/project/bqplot,2023-10-17 15:07:51.000,106.0,123198.0,154225.0,https://anaconda.org/conda-forge/bqplot,2023-11-06 09:55:37.480,1254143.0,,,,,3.0,,,,,bqplot,https://www.npmjs.com/package/bqplot,2023-10-17 10:48:26.195,17.0,3158.0,,,,,,,,,,,, +282,sahi,obss/sahi,image,,https://github.com/obss/sahi,https://github.com/obss/sahi,MIT,2021-01-30 12:54:53.000,2024-01-28 10:39:14.000000,2024-01-10 09:28:24,484.0,14.0,490.0,36.0,502.0,6.0,,3376.0,Framework agnostic sliced/tiled inference + interactive ui + error analysis plots.,37.0,30,True,2023-11-05 23:19:54.000,0.11.15,101.0,sahi,conda-forge/sahi,,,,900.0,888.0,https://pypi.org/project/sahi,2023-11-05 23:19:54.000,12.0,125469.0,127964.0,https://anaconda.org/conda-forge/sahi,2023-11-06 10:35:24.165,53436.0,,,,,2.0,21165.0,,,,,,,,,,,,,,,,,,,, +283,GPyTorch,cornellius-gp/gpytorch,probabilistics,,https://github.com/cornellius-gp/gpytorch,https://github.com/cornellius-gp/gpytorch,MIT,2017-06-09 14:48:20.000,2024-01-21 03:19:32.000000,2023-12-11 18:09:03,3827.0,5.0,506.0,61.0,880.0,320.0,966.0,3341.0,A highly efficient implementation of Gaussian Processes in PyTorch.,127.0,30,True,2023-06-02 22:04:02.000,1.11,38.0,gpytorch,conda-forge/gpytorch,,,['pytorch'],1907.0,1817.0,https://pypi.org/project/gpytorch,2023-06-02 22:13:00.914,90.0,166843.0,170027.0,https://anaconda.org/conda-forge/gpytorch,2023-08-11 22:34:06.614,143303.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +284,TextDistance,life4/textdistance,nlp,,https://github.com/life4/textdistance,https://github.com/life4/textdistance,MIT,2017-05-05 08:46:10.000,2023-12-29 09:26:48.000000,2023-12-29 09:26:14,403.0,3.0,241.0,65.0,52.0,,,3259.0,"Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external..",14.0,30,True,2023-12-29 09:27:05.000,4.6.1,11.0,textdistance,conda-forge/textdistance,,,,5637.0,5637.0,https://pypi.org/project/textdistance,,,483420.0,490848.0,https://anaconda.org/conda-forge/textdistance,2023-06-16 16:13:38.456,511691.0,,,,,2.0,973.0,,,,,,,,,,,,,,,,,,,, +285,NMSLIB,nmslib/nmslib,nn-search,,https://github.com/nmslib/nmslib,https://github.com/nmslib/nmslib,Apache-2.0,2013-07-10 11:06:06.000,2023-11-13 09:43:52.000000,2022-05-31 03:18:45,1556.0,,426.0,94.0,122.0,72.0,348.0,3223.0,Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods..,47.0,30,False,2021-02-03 16:40:09.000,2.1.1,32.0,nmslib,conda-forge/nmslib,,,,1098.0,1038.0,https://pypi.org/project/nmslib,2021-02-03 00:02:08.000,60.0,272302.0,274897.0,https://anaconda.org/conda-forge/nmslib,2023-09-26 10:22:21.295,103829.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +286,STUMPY,TDAmeritrade/stumpy,time-series-data,,https://github.com/TDAmeritrade/stumpy,https://github.com/TDAmeritrade/stumpy,BSD-3-Clause,2019-05-03 19:23:44.000,2024-01-26 16:38:06.000000,2024-01-26 16:37:57,1278.0,6.0,272.0,54.0,215.0,51.0,408.0,2916.0,STUMPY is a powerful and scalable Python library for modern time series analysis.,36.0,30,True,2023-08-21 11:33:22.000,1.12.0,28.0,stumpy,conda-forge/stumpy,,,,644.0,628.0,https://pypi.org/project/stumpy,2023-08-21 11:33:22.000,16.0,201302.0,223072.0,https://anaconda.org/conda-forge/stumpy,2023-08-21 11:50:40.587,957904.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +287,hmmlearn,hmmlearn/hmmlearn,probabilistics,,https://github.com/hmmlearn/hmmlearn,https://github.com/hmmlearn/hmmlearn,BSD-3-Clause,2014-03-23 10:33:09.000,2024-01-20 21:16:47.000000,2024-01-20 14:36:02,469.0,6.0,729.0,119.0,119.0,57.0,369.0,2900.0,"Hidden Markov Models in Python, with scikit-learn like API.",46.0,30,True,2023-04-18 18:59:00.534,0.3.0,12.0,hmmlearn,conda-forge/hmmlearn,,,['sklearn'],2406.0,2260.0,https://pypi.org/project/hmmlearn,2023-04-18 18:59:00.534,146.0,267707.0,272706.0,https://anaconda.org/conda-forge/hmmlearn,2023-10-07 20:19:04.855,204989.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +288,Determined,determined-ai/determined,ml-frameworks,,https://github.com/determined-ai/determined,https://github.com/determined-ai/determined,Apache-2.0,2020-04-07 16:12:29.000,2024-02-01 13:53:02.000000,2024-02-01 01:34:05,7247.0,387.0,338.0,76.0,8417.0,148.0,319.0,2727.0,"Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning,..",110.0,30,True,2024-01-24 23:54:26.000,0.27.1,480.0,determined,,,https://docs.determined.ai,"['pytorch', 'tensorflow']",4.0,,https://pypi.org/project/determined,2024-01-31 03:15:30.000,4.0,23773.0,23950.0,,,,,,,,3.0,7973.0,,,,,,,,,,,,,,,,,,,, +289,Neural Network Libraries,sony/nnabla,ml-frameworks,,https://github.com/sony/nnabla,https://github.com/sony/nnabla,Apache-2.0,2017-06-26 01:07:10.000,2024-01-22 06:44:51.000000,2024-01-22 06:44:48,3512.0,48.0,341.0,154.0,1166.0,32.0,60.0,2672.0,Neural Network Libraries.,73.0,30,True,2023-12-07 00:57:13.000,1.38.0,78.0,nnabla,,,,,55.0,,https://pypi.org/project/nnabla,2023-12-06 09:31:24.000,55.0,2778.0,2789.0,,,,,,,,3.0,907.0,,,,,,,,,,,,,,,,,,,, +290,hdbscan,scikit-learn-contrib/hdbscan,others,,https://github.com/scikit-learn-contrib/hdbscan,https://github.com/scikit-learn-contrib/hdbscan,BSD-3-Clause,2015-04-22 13:32:37.000,2023-11-20 19:04:39.000000,2023-11-20 19:03:21,997.0,5.0,446.0,57.0,135.0,324.0,164.0,2620.0,A high performance implementation of HDBSCAN clustering.,86.0,30,True,2023-07-18 17:50:51.000,0.8.33,47.0,hdbscan,conda-forge/hdbscan,,,['sklearn'],3056.0,3056.0,https://pypi.org/project/hdbscan,,,542095.0,586966.0,https://anaconda.org/conda-forge/hdbscan,2023-10-06 14:12:48.829,1794855.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +291,pygal,Kozea/pygal,graph,,https://github.com/Kozea/pygal,https://github.com/Kozea/pygal,LGPL-3.0,2011-09-23 10:17:50.000,2024-02-01 01:44:20.000000,2023-12-11 13:43:52,1053.0,33.0,443.0,126.0,143.0,192.0,247.0,2589.0,PYthon svg GrAph plotting Library.,77.0,30,False,2023-11-21 15:34:11.000,3.0.4,80.0,pygal,conda-forge/pygal,,,,637.0,,https://pypi.org/project/pygal,2023-11-21 15:34:11.000,637.0,336684.0,339550.0,https://anaconda.org/conda-forge/pygal,2023-11-21 17:04:08.093,37270.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +292,EvaDB,georgia-tech-db/eva,ml-frameworks,,https://github.com/georgia-tech-db/evadb,https://github.com/georgia-tech-db/evadb,Apache-2.0,2018-09-10 02:26:03.000,2024-01-31 16:44:10.000000,2023-12-03 09:09:14,2415.0,24.0,250.0,27.0,1125.0,75.0,224.0,2474.0,Database system for AI-powered apps.,73.0,30,True,2023-11-19 16:35:30.000,0.3.9,45.0,evadb,,,,['pytorch'],142.0,142.0,https://pypi.org/project/evadb,2023-11-19 16:35:24.000,,17719.0,39261.0,,,,,,,,3.0,409312.0,,,georgia-tech-db/evadb,,,,,,,,,,,,,,,,, +293,NeuralForecast,Nixtla/neuralforecast,time-series-data,,https://github.com/Nixtla/neuralforecast,https://github.com/Nixtla/neuralforecast,Apache-2.0,2021-04-26 00:15:19.000,2024-02-01 14:41:48.000000,2024-01-30 14:57:39,1097.0,34.0,246.0,31.0,420.0,93.0,311.0,2139.0,Scalable and user friendly neural forecasting algorithms.,35.0,30,True,2023-10-05 19:40:30.000,1.6.4,20.0,neuralforecast,conda-forge/neuralforecast,,,,106.0,101.0,https://pypi.org/project/neuralforecast,2023-10-05 19:40:30.000,5.0,12108.0,12663.0,https://anaconda.org/conda-forge/neuralforecast,2023-10-06 19:47:12.240,12770.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +294,bt,pmorissette/bt,financial-data,,https://github.com/pmorissette/bt,https://github.com/pmorissette/bt,MIT,2014-06-19 16:06:28.000,2024-01-01 10:51:44.000000,2023-12-11 16:17:44,517.0,12.0,433.0,88.0,101.0,82.0,258.0,1914.0,bt - flexible backtesting for Python.,31.0,30,True,2023-11-20 03:03:12.000,1.0.0,26.0,bt,conda-forge/bt,,,,1621.0,1593.0,https://pypi.org/project/bt,2023-11-20 03:03:12.000,28.0,6660.0,7259.0,https://anaconda.org/conda-forge/bt,2023-11-20 16:37:06.276,20389.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +295,ffn,pmorissette/ffn,financial-data,,https://github.com/pmorissette/ffn,https://github.com/pmorissette/ffn,MIT,2014-06-19 15:54:09.000,2023-12-31 19:11:58.314000,2023-12-31 15:46:16,440.0,30.0,282.0,59.0,100.0,22.0,99.0,1715.0,ffn - a financial function library for Python.,32.0,30,True,2023-12-31 16:05:45.000,1.0.1,33.0,ffn,conda-forge/ffn,,,,454.0,423.0,https://pypi.org/project/ffn,2023-12-31 15:47:45.000,31.0,187682.0,187876.0,https://anaconda.org/conda-forge/ffn,2023-12-31 19:11:58.314,6624.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +296,PyCUDA,inducer/pycuda,gpu-utilities,,https://github.com/inducer/pycuda,https://github.com/inducer/pycuda,MIT,2011-04-06 02:53:31.000,2024-01-15 17:42:53.000000,2024-01-15 17:42:53,1589.0,4.0,281.0,54.0,137.0,79.0,182.0,1696.0,"CUDA integration for Python, plus shiny features.",81.0,30,True,2024-01-03 16:54:41.000,2024.1,53.0,pycuda,conda-forge/pycuda,,,,2845.0,2621.0,https://pypi.org/project/pycuda,2024-01-03 16:54:26.000,224.0,35107.0,43031.0,https://anaconda.org/conda-forge/pycuda,2024-01-06 20:33:04.514,277365.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +297,ViZDoom,mwydmuch/ViZDoom,reinforcement-learning,,https://github.com/Farama-Foundation/ViZDoom,https://github.com/Farama-Foundation/ViZDoom,MIT,2015-06-26 18:38:23.000,2024-01-24 01:12:08.000000,2024-01-11 16:09:25,1799.0,42.0,369.0,52.0,123.0,41.0,421.0,1628.0,Reinforcement Learning environments based on the 1993 game Doom.,53.0,30,True,2023-12-16 01:55:15.000,1.2.3,29.0,vizdoom,,,,,238.0,221.0,https://pypi.org/project/vizdoom,2023-12-16 01:55:15.000,17.0,1480.0,1604.0,,,,,,,,1.0,11782.0,,,Farama-Foundation/ViZDoom,,,,,,,,,,,,,,,,, +298,audiomentations,iver56/audiomentations,audio,,https://github.com/iver56/audiomentations,https://github.com/iver56/audiomentations,MIT,2019-02-12 16:36:24.000,2024-01-31 08:55:10.000000,2024-01-31 08:55:09,1115.0,16.0,173.0,21.0,145.0,46.0,124.0,1614.0,A Python library for audio data augmentation. Inspired by albumentations. Useful for machine learning.,24.0,30,True,2023-11-24 08:35:59.000,0.34.1,37.0,audiomentations,,,,,424.0,419.0,https://pypi.org/project/audiomentations,2023-11-24 08:35:59.000,5.0,16950.0,16950.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +299,spacy-transformers,explosion/spacy-transformers,nlp,,https://github.com/explosion/spacy-transformers,https://github.com/explosion/spacy-transformers,MIT,2019-07-26 19:12:34.000,2023-12-19 11:34:09.090000,2023-12-19 06:28:04,1472.0,5.0,153.0,32.0,245.0,,,1309.0,"Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy.",22.0,30,True,2023-12-19 07:41:39.000,1.3.4,43.0,spacy-transformers,conda-forge/spacy-transformers,,,['spacy'],1468.0,1468.0,https://pypi.org/project/spacy-transformers,,,176864.0,177861.0,https://anaconda.org/conda-forge/spacy-transformers,2023-12-19 11:34:09.090,26944.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +300,ktrain,amaiya/ktrain,ml-frameworks,,https://github.com/amaiya/ktrain,https://github.com/amaiya/ktrain,Apache-2.0,2019-02-06 17:01:39.000,2024-01-28 02:10:47.000000,2024-01-27 19:32:10,3020.0,11.0,269.0,34.0,37.0,2.0,480.0,1202.0,ktrain is a Python library that makes deep learning and AI more accessible and easier to apply.,16.0,30,True,2024-01-28 02:10:47.000,0.40.0,206.0,ktrain,,,,['tensorflow'],499.0,496.0,https://pypi.org/project/ktrain,2024-01-28 02:10:47.000,3.0,10529.0,10529.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +301,Geomstats,geomstats/geomstats,ml-frameworks,,https://github.com/geomstats/geomstats,https://github.com/geomstats/geomstats,MIT,2017-10-25 00:44:57.000,2024-01-31 10:47:15.000000,2024-01-30 12:23:48,10423.0,169.0,224.0,36.0,1430.0,206.0,342.0,1117.0,Computations and statistics on manifolds with geometric structures.,89.0,30,True,2023-08-30 05:36:10.000,2.7.0,32.0,geomstats,conda-forge/geomstats,,https://geomstats.github.io/,,96.0,93.0,https://pypi.org/project/geomstats,2023-08-30 05:33:32.000,3.0,3185.0,3291.0,https://anaconda.org/conda-forge/geomstats,2023-08-30 16:59:06.279,2134.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +302,responsible-ai-widgets,microsoft/responsible-ai-toolbox,interpretability,,https://github.com/microsoft/responsible-ai-toolbox,https://github.com/microsoft/responsible-ai-toolbox,MIT,2020-07-06 20:46:53.000,2024-01-31 23:03:33.000000,2024-01-31 22:04:03,1926.0,83.0,295.0,23.0,2226.0,80.0,226.0,1102.0,Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and..,42.0,30,True,2024-01-31 23:03:33.000,0.34.0,53.0,raiwidgets,,,,"['pytorch', 'tensorflow', 'jupyter']",85.0,82.0,https://pypi.org/project/raiwidgets,2024-01-31 23:03:33.000,3.0,4969.0,4969.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +303,pyopencl,inducer/pyopencl,others,,https://github.com/inducer/pyopencl,https://github.com/inducer/pyopencl,MIT,2011-04-06 02:51:33.000,2024-01-24 00:59:29.948000,2024-01-23 22:06:47,3279.0,7.0,240.0,48.0,350.0,70.0,263.0,1012.0,"OpenCL integration for Python, plus shiny features.",95.0,30,True,2024-01-23 22:08:06.000,2024.1,95.0,pyopencl,conda-forge/pyopencl,,,,1999.0,1790.0,https://pypi.org/project/pyopencl,2024-01-23 22:46:25.000,209.0,48260.0,70489.0,https://anaconda.org/conda-forge/pyopencl,2024-01-24 00:59:29.948,978082.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +304,TensorFlow Transform,tensorflow/transform,tensorflow-utils,,https://github.com/tensorflow/transform,https://github.com/tensorflow/transform,Apache-2.0,2017-02-10 00:36:53.000,2024-01-12 17:42:34.000000,2024-01-12 17:42:34,922.0,5.0,214.0,59.0,98.0,44.0,173.0,979.0,Input pipeline framework.,28.0,30,True,2023-08-11 23:14:04.000,1.14.0,56.0,tensorflow-transform,,,,['tensorflow'],1678.0,1622.0,https://pypi.org/project/tensorflow-transform,2023-08-11 23:14:04.000,56.0,683701.0,683701.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +305,CLTK,cltk/cltk,nlp,,https://github.com/cltk/cltk,https://github.com/cltk/cltk,MIT,2014-01-11 23:59:47.000,2023-12-31 16:49:29.000000,2023-12-27 09:35:50,3706.0,45.0,324.0,66.0,681.0,35.0,525.0,812.0,The Classical Language Toolkit.,120.0,30,True,2023-12-27 08:38:23.000,1.2.1,211.0,cltk,,,,,297.0,255.0,https://pypi.org/project/cltk,2023-12-27 08:38:23.000,42.0,1272.0,1272.0,,,,,,,,2.0,50.0,,,,,,,,,,,,,,,,,,,, +306,SALib,SALib/SALib,probabilistics,,https://github.com/SALib/SALib,https://github.com/SALib/SALib,MIT,2013-05-30 13:38:10.000,2024-01-22 19:48:19.000000,2024-01-22 19:48:19,1915.0,10.0,220.0,19.0,287.0,41.0,265.0,788.0,"Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.",44.0,30,True,2023-01-08 01:02:35.000,1.4.7,33.0,salib,conda-forge/salib,,,,1019.0,1019.0,https://pypi.org/project/salib,,,148909.0,150555.0,https://anaconda.org/conda-forge/salib,2023-06-16 13:22:11.263,143219.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +307,TensorFlow I/O,tensorflow/io,tensorflow-utils,,https://github.com/tensorflow/io,https://github.com/tensorflow/io,Apache-2.0,2018-11-09 22:44:05.000,2024-02-01 07:29:22.000000,2024-02-01 07:21:49,1671.0,24.0,283.0,43.0,1313.0,268.0,362.0,685.0,"Dataset, streaming, and file system extensions maintained by TensorFlow SIG-IO.",107.0,30,True,2023-12-19 00:59:41.000,0.35.0,42.0,tensorflow-io,,,,['tensorflow'],36.0,,https://pypi.org/project/tensorflow-io,2023-12-19 00:58:11.000,36.0,2506991.0,2506991.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +308,python-soundfile,bastibe/python-soundfile,audio,,https://github.com/bastibe/python-soundfile,https://github.com/bastibe/python-soundfile,BSD-3-Clause,2013-08-27 13:36:52.000,2024-01-05 08:05:26.000000,2024-01-05 08:05:26,564.0,11.0,93.0,17.0,193.0,98.0,135.0,638.0,"SoundFile is an audio library based on libsndfile, CFFI, and NumPy.",33.0,30,True,2023-02-15 15:39:02.000,0.12.1,15.0,soundfile,anaconda/pysoundfile,,,,30735.0,30423.0,https://pypi.org/project/soundfile,2023-02-15 15:39:00.786,312.0,1686881.0,1687023.0,https://anaconda.org/anaconda/pysoundfile,,,,,,,2.0,17114.0,,,,,,,,,,,,,,,,,,,, +309,datalad,datalad/datalad,others,,https://github.com/datalad/datalad,https://github.com/datalad/datalad,MIT,2013-11-01 19:40:08.000,2024-02-01 05:58:42.000000,2024-02-01 05:58:42,17072.0,25.0,112.0,27.0,3561.0,503.0,3378.0,476.0,"Keep code, data, containers under control with git and git-annex.",55.0,30,True,2023-12-28 17:04:33.000,0.19.5,110.0,datalad,conda-forge/datalad,,,,65.0,,https://pypi.org/project/datalad,2023-12-28 17:04:33.000,65.0,19082.0,28575.0,https://anaconda.org/conda-forge/datalad,2023-12-28 19:33:36.774,417726.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +310,Neptune.ai,neptune-ai/neptune-client,ml-experiments,,https://github.com/neptune-ai/neptune-client,https://github.com/neptune-ai/neptune-client,Apache-2.0,2019-02-11 11:25:57.000,2024-02-01 14:06:25.000000,2024-02-01 14:06:11,1862.0,62.0,54.0,19.0,1398.0,33.0,204.0,464.0,The MLOps stack component for experiment tracking.,54.0,30,True,2023-12-04 11:00:03.000,1.8.6,197.0,neptune-client,conda-forge/neptune-client,,,,49.0,,https://pypi.org/project/neptune-client,2023-12-07 09:56:42.000,49.0,576148.0,581221.0,https://anaconda.org/conda-forge/neptune-client,2023-12-04 13:15:00.892,228318.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +311,Qlib,microsoft/qlib,financial-data,,https://github.com/microsoft/qlib,https://github.com/microsoft/qlib,MIT,2020-08-14 06:46:00.000,2024-01-28 19:10:20.000000,2023-11-21 12:31:47,1957.0,3.0,2274.0,275.0,903.0,226.0,671.0,13351.0,"Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and..",122.0,29,True,2023-07-18 11:35:09.110,0.9.3,32.0,pyqlib,,,,['pytorch'],22.0,21.0,https://pypi.org/project/pyqlib,2023-07-18 11:35:09.110,1.0,1338.0,1347.0,,,,,,,,2.0,392.0,,,,,,,,,,,,,,,,,,,, +312,backtrader,mementum/backtrader,financial-data,,https://github.com/mementum/backtrader,https://github.com/mementum/backtrader,GPL-3.0,2015-01-10 07:14:52.000,2024-01-31 22:31:36.000000,2023-04-19 14:13:08,2404.0,,3633.0,604.0,221.0,45.0,,12445.0,Python Backtesting library for trading strategies.,56.0,29,False,,,157.0,backtrader,,,,,1960.0,1892.0,https://pypi.org/project/backtrader,2023-04-19 14:15:00.742,68.0,13900.0,13900.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +313,pandas-ai,gventuri/pandas-ai,others,,https://github.com/gventuri/pandas-ai,https://github.com/gventuri/pandas-ai,MIT,2023-04-22 12:58:01.000,2024-02-01 14:38:21.000000,2024-01-31 12:09:36,713.0,116.0,820.0,81.0,343.0,173.0,277.0,9644.0,"Chat with your data (SQL, CSV, pandas, polars, noSQL, etc). PandasAI makes data analysis conversational using LLMs..",64.0,29,True,2024-01-28 16:09:03.000,1.5.18,100.0,pandas-ai,,,,,2587.0,2587.0,https://pypi.org/project/pandas-ai,,,,,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +314,pretrainedmodels,Cadene/pretrained-models.pytorch,pytorch-utils,,https://github.com/Cadene/pretrained-models.pytorch,https://github.com/Cadene/pretrained-models.pytorch,BSD-3-Clause,2017-04-09 15:54:23.000,2023-06-16 19:20:12.183000,2020-04-16 08:02:22,154.0,,1840.0,217.0,46.0,96.0,94.0,8901.0,"Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.",22.0,29,False,2018-10-29 08:18:45.000,0.7.4,16.0,pretrainedmodels,conda-forge/pretrainedmodels,,,['pytorch'],114.0,20.0,https://pypi.org/project/pretrainedmodels,2018-10-29 08:18:45.000,94.0,124018.0,124710.0,https://anaconda.org/conda-forge/pretrainedmodels,2023-06-16 19:20:12.183,30448.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,, +315,imageai,OlafenwaMoses/ImageAI,image,,https://github.com/OlafenwaMoses/ImageAI,https://github.com/OlafenwaMoses/ImageAI,MIT,2018-03-19 23:12:33.000,2023-09-25 05:14:24.000000,2023-08-26 12:04:19,383.0,,2115.0,286.0,96.0,287.0,446.0,8269.0,A python library built to empower developers to build applications and systems with self-contained Computer Vision..,19.0,29,True,2022-12-20 21:17:57.000,test-resources-v3,12.0,imageai,conda-forge/imageai,,,,1535.0,1535.0,https://pypi.org/project/imageai,,,4797.0,17885.0,https://anaconda.org/conda-forge/imageai,2023-06-16 19:21:01.568,6816.0,,,,,2.0,905105.0,,,,,,,,,,,,,,,,,,,, +316,AutoGluon,autogluon/autogluon,hyperopt,,https://github.com/autogluon/autogluon,https://github.com/autogluon/autogluon,Apache-2.0,2019-07-29 18:51:24.000,2024-01-31 00:24:06.000000,2024-01-31 00:24:06,2091.0,132.0,810.0,100.0,2335.0,288.0,888.0,6789.0,"AutoGluon: AutoML for Image, Text, Time Series, and Tabular Data.",114.0,29,True,2023-11-30 05:58:09.000,1.0.0,1383.0,autogluon,,autogluon/autogluon,https://auto.gluon.ai,"['pytorch', 'sklearn']",9.0,2.0,https://pypi.org/project/autogluon,2024-01-01 09:05:29.000,7.0,51377.0,51497.0,,,,https://hub.docker.com/r/autogluon/autogluon,2023-07-26 19:13:58.158186,17.0,6621.0,2.0,,,,,,,,,,,,,,,,,,,,, +317,torchdiffeq,rtqichen/torchdiffeq,pytorch-utils,,https://github.com/rtqichen/torchdiffeq,https://github.com/rtqichen/torchdiffeq,MIT,2018-11-14 17:51:25.000,2023-10-19 19:24:54.000000,2023-10-19 19:24:51,248.0,,851.0,127.0,38.0,64.0,144.0,5055.0,Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.,21.0,29,True,2022-04-22 15:21:47.000,0.2.3,7.0,torchdiffeq,conda-forge/torchdiffeq,,,['pytorch'],2899.0,2853.0,https://pypi.org/project/torchdiffeq,2022-04-22 15:21:47.000,46.0,772379.0,772697.0,https://anaconda.org/conda-forge/torchdiffeq,2023-06-16 19:19:05.182,14330.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,, +318,SynapseML,microsoft/SynapseML,distributed-ml,,https://github.com/microsoft/SynapseML,https://github.com/microsoft/SynapseML,MIT,2017-06-05 08:23:44.000,2024-02-01 06:12:49.000000,2024-01-31 18:21:56,1557.0,22.0,821.0,144.0,1464.0,326.0,398.0,4918.0,Simple and Distributed Machine Learning.,115.0,29,True,2023-11-27 22:05:20.000,1.0.2,42.0,synapseml,,,,,3.0,,https://pypi.org/project/synapseml,2023-11-27 22:05:20.000,3.0,155662.0,155662.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +319,VisualDL,PaddlePaddle/VisualDL,ml-experiments,,https://github.com/PaddlePaddle/VisualDL,https://github.com/PaddlePaddle/VisualDL,Apache-2.0,2017-12-20 12:34:31.000,2023-09-20 11:21:28.000000,2023-09-20 11:21:28,918.0,,634.0,148.0,789.0,141.0,356.0,4690.0,Deep Learning Visualization Toolkit.,33.0,29,True,2023-06-05 07:21:00.910,2.5.3,43.0,visualdl,,,,['paddle'],2648.0,2602.0,https://pypi.org/project/visualdl,2023-06-05 07:21:00.910,46.0,250208.0,250215.0,,,,,,,,2.0,341.0,,,,,,,,,,,,,,,,,,,, +320,causalml,uber/causalml,others,,https://github.com/uber/causalml,https://github.com/uber/causalml,Apache-2.0,2019-07-09 02:08:58.000,2024-01-29 15:02:34.000000,2024-01-29 15:02:34,589.0,24.0,757.0,81.0,322.0,56.0,312.0,4553.0,Uplift modeling and causal inference with machine learning algorithms.,59.0,29,True,2023-08-28 06:52:12.000,0.14.1,22.0,causalml,,,,,179.0,178.0,https://pypi.org/project/causalml,2023-08-28 06:52:12.000,1.0,77497.0,77497.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +321,nlpaug,makcedward/nlpaug,nlp,,https://github.com/makcedward/nlpaug,https://github.com/makcedward/nlpaug,MIT,2019-03-21 03:00:17.000,2023-06-16 19:26:38.185000,2022-07-07 05:16:43,738.0,,442.0,42.0,124.0,63.0,154.0,4233.0,Data augmentation for NLP.,33.0,29,False,2022-07-07 05:24:14.000,1.1.11,37.0,nlpaug,conda-forge/nlpaug,,,,1069.0,1036.0,https://pypi.org/project/nlpaug,2022-07-07 05:23:07.000,33.0,87670.0,88179.0,https://anaconda.org/conda-forge/nlpaug,2023-06-16 19:26:38.185,16298.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +322,sacred,IDSIA/sacred,ml-experiments,,https://github.com/IDSIA/sacred,https://github.com/IDSIA/sacred,MIT,2014-03-31 18:05:29.000,2023-11-28 14:54:27.704000,2023-11-13 07:19:19,1344.0,2.0,375.0,71.0,366.0,97.0,460.0,4132.0,"Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.",105.0,29,True,2023-11-13 07:24:08.000,0.8.5,29.0,sacred,conda-forge/sacred,,,,2928.0,2818.0,https://pypi.org/project/sacred,2023-11-13 07:24:08.000,110.0,42715.0,42884.0,https://anaconda.org/conda-forge/sacred,2023-11-28 14:54:27.704,4565.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +323,implicit,benfred/implicit,recommender-systems,,https://github.com/benfred/implicit,https://github.com/benfred/implicit,MIT,2016-04-17 03:45:23.000,2023-11-21 21:16:03.000000,2023-11-21 21:15:59,435.0,1.0,602.0,78.0,227.0,76.0,405.0,3365.0,Fast Python Collaborative Filtering for Implicit Feedback Datasets.,34.0,29,True,2023-09-29 21:07:11.000,0.7.2,47.0,implicit,conda-forge/implicit,,,,1271.0,1231.0,https://pypi.org/project/implicit,2023-09-29 21:07:11.000,40.0,165829.0,179588.0,https://anaconda.org/conda-forge/implicit,2023-11-21 19:59:55.425,563083.0,,,,,2.0,670.0,,,,,,,,,,,,,,,,,,,, +324,Sumy,miso-belica/sumy,nlp,,https://github.com/miso-belica/sumy,https://github.com/miso-belica/sumy,Apache-2.0,2013-02-20 12:56:48.000,2024-01-23 15:06:30.000000,2024-01-23 15:06:29,446.0,9.0,511.0,112.0,86.0,17.0,100.0,3350.0,Module for automatic summarization of text documents and HTML pages.,30.0,29,True,2022-10-23 16:40:03.000,0.11.0,15.0,sumy,conda-forge/sumy,,,,2455.0,2455.0,https://pypi.org/project/sumy,,,65446.0,65676.0,https://anaconda.org/conda-forge/sumy,2023-06-16 19:26:28.563,7360.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +325,Porcupine,Picovoice/Porcupine,audio,,https://github.com/Picovoice/porcupine,https://github.com/Picovoice/porcupine,Apache-2.0,2018-03-08 01:55:25.000,2024-01-31 19:30:34.000000,2024-01-31 19:30:28,1169.0,51.0,467.0,60.0,699.0,4.0,511.0,3319.0,On-device wake word detection powered by deep learning.,37.0,29,True,2024-01-30 21:38:49.000,3.0.2,34.0,pvporcupine,,,,,41.0,27.0,https://pypi.org/project/pvporcupine,2024-01-30 21:38:49.000,14.0,5309.0,5309.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +326,Deep Checks,deepchecks/deepchecks,interpretability,,https://github.com/deepchecks/deepchecks,https://github.com/deepchecks/deepchecks,AGPL-3.0,2021-10-11 14:48:38.000,2024-01-31 13:08:49.000000,2024-01-31 12:37:12,1484.0,17.0,233.0,16.0,1715.0,266.0,725.0,3219.0,Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all..,52.0,29,False,2024-01-31 13:08:55.000,0.18.1,60.0,deepchecks,,,,,338.0,331.0,https://pypi.org/project/deepchecks,2024-01-31 13:08:49.000,7.0,40430.0,40458.0,,,,,,,,2.0,785.0,,,,,,,,,,,,,,,,,,,, +327,pomegranate,jmschrei/pomegranate,probabilistics,,https://github.com/jmschrei/pomegranate,https://github.com/jmschrei/pomegranate,MIT,2014-11-24 18:36:58.000,2024-01-19 20:32:01.000000,2023-11-13 00:15:46,980.0,1.0,570.0,100.0,334.0,31.0,713.0,3219.0,"Fast, flexible and easy to use probabilistic modelling in Python.",72.0,29,True,2023-09-17 19:03:32.000,0.14.9,73.0,pomegranate,conda-forge/pomegranate,,,,1106.0,1047.0,https://pypi.org/project/pomegranate,2023-09-17 19:03:32.000,59.0,30066.0,33215.0,https://anaconda.org/conda-forge/pomegranate,2023-12-10 17:04:41.093,141713.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +328,Catalyst,catalyst-team/catalyst,ml-experiments,,https://github.com/catalyst-team/catalyst,https://github.com/catalyst-team/catalyst,Apache-2.0,2018-08-20 07:56:13.000,2023-07-08 17:08:15.000000,2022-04-29 04:19:24,1698.0,,399.0,47.0,1084.0,6.0,353.0,3199.0,Accelerated deep learning R&D.,104.0,29,False,2022-04-29 04:45:11.000,22.04,108.0,catalyst,,,,['pytorch'],1097.0,1059.0,https://pypi.org/project/catalyst,2022-04-29 04:46:04.000,38.0,120846.0,120846.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +329,aubio,aubio/aubio,audio,,https://github.com/aubio/aubio,https://github.com/aubio/aubio,GPL-3.0,2009-12-04 21:07:44.000,2024-01-05 06:03:44.000000,2024-01-02 20:16:48,4161.0,35.0,363.0,81.0,63.0,154.0,189.0,3105.0,a library for audio and music analysis.,25.0,29,False,2019-02-27 09:00:43.000,0.4.9,10.0,aubio,conda-forge/aubio,,,,463.0,435.0,https://pypi.org/project/aubio,2019-02-08 11:21:02.000,28.0,6145.0,13812.0,https://anaconda.org/conda-forge/aubio,2023-06-16 13:24:40.255,636432.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +330,Cufflinks,santosjorge/cufflinks,data-viz,,https://github.com/santosjorge/cufflinks,https://github.com/santosjorge/cufflinks,MIT,2014-11-19 20:59:33.000,2022-02-11 16:25:24.000000,2021-02-25 05:05:09,452.0,,672.0,110.0,72.0,99.0,123.0,2941.0,Productivity Tools for Plotly + Pandas.,38.0,29,False,2020-03-01 17:42:01.000,0.17.3,28.0,cufflinks,,,,['pandas'],10130.0,9955.0,https://pypi.org/project/cufflinks,2020-03-01 17:42:01.000,175.0,82529.0,82529.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +331,mljar-supervised,mljar/mljar-supervised,hyperopt,,https://github.com/mljar/mljar-supervised,https://github.com/mljar/mljar-supervised,MIT,2018-11-05 12:58:04.000,2024-01-31 12:01:34.000000,2024-01-30 11:23:03,1150.0,19.0,375.0,45.0,69.0,141.0,464.0,2879.0,"Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and..",26.0,29,True,2024-01-08 09:09:11.000,1.1.2,56.0,mljar-supervised,conda-forge/mljar-supervised,,,,100.0,100.0,https://pypi.org/project/mljar-supervised,,,5089.0,5480.0,https://anaconda.org/conda-forge/mljar-supervised,2024-01-08 10:33:13.792,12537.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +332,TF-Agents,tensorflow/agents,reinforcement-learning,,https://github.com/tensorflow/agents,https://github.com/tensorflow/agents,Apache-2.0,2018-11-17 00:29:12.000,2024-01-29 16:59:36.000000,2024-01-29 16:58:53,2293.0,30.0,717.0,81.0,204.0,184.0,465.0,2683.0,"TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.",150.0,29,True,2023-12-14 04:07:38.000,0.19.0,51.0,tf-agents,,,,['tensorflow'],9.0,,https://pypi.org/project/tf-agents,2023-12-14 04:07:38.000,9.0,31797.0,31797.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,, +333,TextAttack,QData/TextAttack,adversarial,,https://github.com/QData/TextAttack,https://github.com/QData/TextAttack,MIT,2019-10-15 00:51:44.000,2023-12-18 14:37:02.000000,2023-11-11 12:54:41,2661.0,8.0,347.0,36.0,510.0,49.0,213.0,2659.0,"TextAttack is a Python framework for adversarial attacks, data augmentation, and model training in NLP..",61.0,29,True,2023-09-11 23:15:50.000,0.3.9,46.0,textattack,conda-forge/textattack,,,,236.0,231.0,https://pypi.org/project/textattack,2023-09-11 23:15:50.000,5.0,6156.0,6328.0,https://anaconda.org/conda-forge/textattack,2023-06-16 19:22:50.186,7055.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +334,shapash,MAIF/shapash,interpretability,,https://github.com/MAIF/shapash,https://github.com/MAIF/shapash,Apache-2.0,2020-04-29 07:34:23.000,2024-01-29 09:07:41.000000,2024-01-29 09:06:23,1532.0,48.0,308.0,39.0,317.0,37.0,147.0,2571.0,Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models.,36.0,29,True,2023-12-08 10:36:46.000,2.4.1,37.0,shapash,,,,['jupyter'],140.0,138.0,https://pypi.org/project/shapash,2023-12-08 10:36:46.000,2.0,6143.0,6143.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +335,ipyparallel,ipython/ipyparallel,distributed-ml,,https://github.com/ipython/ipyparallel,https://github.com/ipython/ipyparallel,,2015-04-09 07:43:55.000,2024-01-15 07:57:11.000000,2024-01-15 07:57:10,2867.0,14.0,1055.0,121.0,502.0,61.0,293.0,2524.0,IPython Parallel: Interactive Parallel Computing in Python.,113.0,29,False,2023-04-14 13:35:06.415,8.6.1,45.0,ipyparallel,conda-forge/ipyparallel,,,['jupyter'],304.0,,https://pypi.org/project/ipyparallel,2023-04-14 13:35:06.415,304.0,198523.0,208634.0,https://anaconda.org/conda-forge/ipyparallel,2023-06-16 13:17:51.662,950442.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +336,Spektral,danielegrattarola/spektral,graph,,https://github.com/danielegrattarola/spektral,https://github.com/danielegrattarola/spektral,MIT,2019-01-17 11:19:10.000,2024-01-21 16:47:04.000000,2024-01-21 16:46:47,1134.0,3.0,336.0,44.0,57.0,67.0,206.0,2318.0,Graph Neural Networks with Keras and Tensorflow 2.,27.0,29,True,2024-01-21 16:17:36.000,1.3.1,35.0,spektral,,,,['tensorflow'],270.0,263.0,https://pypi.org/project/spektral,2024-01-21 16:17:36.000,7.0,7199.0,7199.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +337,pygraphistry,graphistry/pygraphistry,graph,,https://github.com/graphistry/pygraphistry,https://github.com/graphistry/pygraphistry,BSD-3-Clause,2015-06-02 20:28:42.000,2024-02-01 06:22:08.000000,2023-12-27 07:53:06,1445.0,88.0,198.0,49.0,242.0,143.0,154.0,1992.0,"PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated..",40.0,29,True,2020-08-31 21:05:46.000,0.11.8,5.0,graphistry,,,,['jupyter'],108.0,108.0,https://pypi.org/project/graphistry,,,3642.0,3642.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +338,tesserocr,sirfz/tesserocr,ocr,,https://github.com/sirfz/tesserocr,https://github.com/sirfz/tesserocr,MIT,2015-12-17 23:29:36.000,2023-10-09 13:43:55.000000,2023-10-09 11:43:56,191.0,,255.0,57.0,69.0,49.0,219.0,1902.0,A Python wrapper for the tesseract-ocr API.,29.0,29,True,2023-10-09 13:43:55.000,2.6.2,19.0,tesserocr,conda-forge/tesserocr,,,,1006.0,934.0,https://pypi.org/project/tesserocr,2023-10-09 13:43:55.000,72.0,49444.0,51945.0,https://anaconda.org/conda-forge/tesserocr,2023-06-16 16:18:15.161,130083.0,,,,,2.0,85.0,,,,,,,,,,,,,,,,,,,, +339,GPflow,GPflow/GPflow,probabilistics,,https://github.com/GPflow/GPflow,https://github.com/GPflow/GPflow,Apache-2.0,2016-01-14 11:29:24.000,2024-01-29 11:09:58.000000,2024-01-04 11:41:58,2445.0,5.0,435.0,76.0,1259.0,143.0,682.0,1784.0,Gaussian processes in TensorFlow.,84.0,29,True,2023-08-09 09:23:26.000,2.9.0,48.0,gpflow,conda-forge/gpflow,,,['tensorflow'],649.0,612.0,https://pypi.org/project/gpflow,2023-08-09 09:23:26.000,37.0,44585.0,44944.0,https://anaconda.org/conda-forge/gpflow,2023-06-16 16:08:37.785,24809.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +340,pyLDAvis,bmabey/pyLDAvis,interpretability,,https://github.com/bmabey/pyLDAvis,https://github.com/bmabey/pyLDAvis,BSD-3-Clause,2015-04-09 22:48:03.000,2023-12-14 19:31:09.000000,2023-12-14 19:31:09,279.0,2.0,346.0,53.0,77.0,76.0,109.0,1758.0,Python library for interactive topic model visualization. Port of the R LDAvis package.,41.0,29,True,2023-04-23 23:49:39.000,3.4.1,7.0,pyldavis,conda-forge/pyldavis,,,['jupyter'],5686.0,5686.0,https://pypi.org/project/pyldavis,,,182486.0,183628.0,https://anaconda.org/conda-forge/pyldavis,2023-06-16 16:08:55.034,77688.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +341,fairlearn,fairlearn/fairlearn,interpretability,,https://github.com/fairlearn/fairlearn,https://github.com/fairlearn/fairlearn,MIT,2018-05-15 01:51:35.000,2024-01-30 13:40:27.000000,2024-01-24 08:46:49,841.0,13.0,374.0,37.0,861.0,164.0,291.0,1733.0,A Python package to assess and improve fairness of machine learning models.,80.0,29,True,2023-12-19 14:14:09.000,0.10.0,20.0,fairlearn,conda-forge/fairlearn,,,['sklearn'],32.0,3.0,https://pypi.org/project/fairlearn,2023-12-19 02:11:12.000,29.0,216211.0,217000.0,https://anaconda.org/conda-forge/fairlearn,2023-12-20 11:56:56.090,30787.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +342,Elephas,maxpumperla/elephas,distributed-ml,,https://github.com/maxpumperla/elephas,https://github.com/maxpumperla/elephas,MIT,2015-08-13 12:09:19.000,2024-01-05 03:23:07.000000,2022-08-31 01:52:51,509.0,,308.0,103.0,49.0,8.0,151.0,1571.0,Distributed Deep learning with Keras & Spark.,27.0,29,False,2024-01-05 03:23:07.000,5.2.1,42.0,elephas,conda-forge/elephas,,,"['keras', 'spark']",77.0,74.0,https://pypi.org/project/elephas,2024-01-05 03:23:07.000,3.0,89780.0,90028.0,https://anaconda.org/conda-forge/elephas,2023-06-16 16:16:35.554,13412.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +343,AutoViz,AutoViML/AutoViz,data-viz,,https://github.com/AutoViML/AutoViz,https://github.com/AutoViML/AutoViz,Apache-2.0,2019-07-17 17:14:06.000,2024-01-12 00:07:56.129000,2024-01-11 02:27:09,192.0,21.0,195.0,32.0,19.0,1.0,83.0,1569.0,"Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators..",15.0,29,True,2024-01-11 02:29:14.000,0.1.804,82.0,autoviz,conda-forge/autoviz,,,,613.0,606.0,https://pypi.org/project/autoviz,2024-01-11 02:29:14.000,7.0,171396.0,172938.0,https://anaconda.org/conda-forge/autoviz,2024-01-12 00:07:56.129,46270.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +344,SciSpacy,allenai/scispacy,nlp,,https://github.com/allenai/scispacy,https://github.com/allenai/scispacy,Apache-2.0,2018-09-24 21:45:52.000,2023-10-27 06:20:12.000000,2023-10-20 21:52:11,1051.0,,207.0,52.0,201.0,33.0,275.0,1551.0,A full spaCy pipeline and models for scientific/biomedical documents.,32.0,29,True,2023-09-30 19:50:35.000,0.5.3,14.0,scispacy,,,,,859.0,829.0,https://pypi.org/project/scispacy,2023-09-30 19:50:35.000,30.0,28135.0,28135.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +345,Opacus,pytorch/opacus,privacy-ml,,https://github.com/pytorch/opacus,https://github.com/pytorch/opacus,Apache-2.0,2019-12-07 01:58:09.000,2024-02-01 00:14:13.000000,2024-01-31 21:14:04,707.0,10.0,300.0,43.0,359.0,66.0,204.0,1547.0,Training PyTorch models with differential privacy.,74.0,29,True,2023-03-24 16:01:05.890,1.4.0,20.0,opacus,conda-forge/opacus,,,['pytorch'],742.0,723.0,https://pypi.org/project/opacus,2022-05-06 09:43:18.000,19.0,56158.0,56671.0,https://anaconda.org/conda-forge/opacus,2023-06-18 08:40:32.992,12782.0,,,,,2.0,106.0,,,,,,,,,,,,,,,,,,,, +346,tensorly,tensorly/tensorly,others,,https://github.com/tensorly/tensorly,https://github.com/tensorly/tensorly,BSD-2-Clause,2016-10-21 23:14:52.000,2024-01-08 15:06:52.000000,2024-01-08 15:03:19,1840.0,8.0,269.0,45.0,269.0,58.0,192.0,1475.0,TensorLy: Tensor Learning in Python.,66.0,29,True,2023-03-08 01:09:02.237,0.8.1,20.0,tensorly,conda-forge/tensorly,,,,615.0,561.0,https://pypi.org/project/tensorly,2023-03-08 01:09:02.237,54.0,12543.0,17809.0,https://anaconda.org/conda-forge/tensorly,2023-06-16 16:08:38.154,363419.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +347,torchsde,google-research/torchsde,pytorch-utils,,https://github.com/google-research/torchsde,https://github.com/google-research/torchsde,Apache-2.0,2020-07-06 23:13:11.000,2023-09-26 23:11:11.000000,2023-09-26 23:11:11,163.0,,174.0,34.0,72.0,19.0,52.0,1420.0,Differentiable SDE solvers with GPU support and efficient sensitivity analysis.,8.0,29,True,2023-09-26 22:07:23.000,0.2.6,5.0,torchsde,conda-forge/torchsde,,,['pytorch'],2301.0,2286.0,https://pypi.org/project/torchsde,2023-09-26 21:52:19.000,15.0,1584050.0,1584569.0,https://anaconda.org/conda-forge/torchsde,2023-06-16 19:24:16.458,19223.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,, +348,kmodes,nicodv/kmodes,others,,https://github.com/nicodv/kmodes,https://github.com/nicodv/kmodes,MIT,2013-08-01 11:54:40.000,2024-01-17 21:03:09.000000,2024-01-17 21:03:09,532.0,6.0,406.0,52.0,39.0,17.0,139.0,1200.0,"Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data.",22.0,29,True,2022-09-06 19:52:23.000,0.12.2,17.0,kmodes,conda-forge/kmodes,,,,2439.0,2406.0,https://pypi.org/project/kmodes,2022-09-06 19:38:02.764,33.0,272179.0,273038.0,https://anaconda.org/conda-forge/kmodes,2023-06-16 19:18:39.600,39556.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +349,pyclustering,annoviko/pyclustering,others,,https://github.com/annoviko/pyclustering,https://github.com/annoviko/pyclustering,BSD-3-Clause,2014-02-25 18:59:03.000,2024-01-31 16:49:26.000000,2021-02-12 19:04:59,2079.0,,248.0,40.0,38.0,67.0,590.0,1131.0,"pyclustering is a Python, C++ data mining library.",26.0,29,False,2020-11-25 22:33:07.000,0.10.1.2,46.0,pyclustering,conda-forge/pyclustering,,,,634.0,600.0,https://pypi.org/project/pyclustering,2020-11-25 22:41:20.000,34.0,83393.0,84792.0,https://anaconda.org/conda-forge/pyclustering,2023-11-16 19:00:50.847,59956.0,,,,,2.0,483.0,,,,,,,,,,,,,,,,,,,, +350,Keras-Preprocessing,keras-team/keras-preprocessing,tensorflow-utils,,https://github.com/keras-team/keras-preprocessing,https://github.com/keras-team/keras-preprocessing,MIT,2018-05-30 22:43:36.000,2023-06-16 16:10:42.597000,2022-02-17 22:38:15,288.0,,454.0,43.0,176.0,93.0,102.0,1028.0,"Utilities for working with image data, text data, and sequence data.",52.0,29,False,2020-05-14 03:55:22.223,1.1.2,12.0,keras-preprocessing,conda-forge/keras-preprocessing,,,['tensorflow'],1577.0,,https://pypi.org/project/keras-preprocessing,2020-05-14 03:55:22.223,1577.0,4281523.0,4313411.0,https://anaconda.org/conda-forge/keras-preprocessing,2023-06-16 16:10:42.597,2168392.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +351,PyNNDescent,lmcinnes/pynndescent,nn-search,,https://github.com/lmcinnes/pynndescent,https://github.com/lmcinnes/pynndescent,BSD-2-Clause,2018-02-07 23:23:54.000,2024-01-10 16:03:56.000000,2024-01-10 16:03:56,666.0,9.0,101.0,14.0,94.0,71.0,61.0,825.0,A Python nearest neighbor descent for approximate nearest neighbors.,27.0,29,True,2023-11-20 18:50:25.000,0.5.11,30.0,pynndescent,conda-forge/pynndescent,,,,5432.0,5360.0,https://pypi.org/project/pynndescent,2023-11-20 18:50:25.000,72.0,1115029.0,1155511.0,https://anaconda.org/conda-forge/pynndescent,2023-11-20 21:14:19.693,1740729.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +352,Cornac,PreferredAI/cornac,recommender-systems,,https://github.com/PreferredAI/cornac,https://github.com/PreferredAI/cornac,Apache-2.0,2018-07-17 06:31:35.000,2024-01-24 06:11:24.000000,2024-01-24 06:11:23,1332.0,45.0,123.0,25.0,454.0,11.0,129.0,783.0,A Comparative Framework for Multimodal Recommender Systems.,18.0,29,True,2023-12-12 07:49:26.000,1.18.0,54.0,cornac,conda-forge/cornac,,,,213.0,197.0,https://pypi.org/project/cornac,2023-12-12 08:02:04.000,16.0,101677.0,109550.0,https://anaconda.org/conda-forge/cornac,2023-12-12 18:26:56.153,346434.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +353,mpi4py,mpi4py/mpi4py,distributed-ml,,https://github.com/mpi4py/mpi4py,https://github.com/mpi4py/mpi4py,BSD-2-Clause,2013-09-05 14:44:25.000,2024-01-30 18:41:29.000000,2024-01-30 18:40:38,3032.0,81.0,108.0,17.0,257.0,11.0,136.0,735.0,Python bindings for MPI.,26.0,29,True,2023-10-04 09:04:51.000,3.1.5,27.0,mpi4py,conda-forge/mpi4py,,,,746.0,,https://pypi.org/project/mpi4py,2023-10-04 09:04:51.000,746.0,209922.0,267912.0,https://anaconda.org/conda-forge/mpi4py,2023-10-17 08:36:29.714,2301108.0,,,,,2.0,19939.0,,,,,,,,,,,,,,,,,,,, +354,GeoViews,holoviz/geoviews,geospatial-data,,https://github.com/holoviz/geoviews,https://github.com/holoviz/geoviews,BSD-3-Clause,2016-04-19 16:27:01.000,2024-01-31 16:25:23.000000,2024-01-31 11:03:23,801.0,14.0,73.0,25.0,368.0,105.0,231.0,551.0,"Simple, concise geographical visualization in Python.",30.0,29,True,2023-11-01 18:39:43.000,1.11.0,55.0,geoviews,conda-forge/geoviews,,,,905.0,866.0,https://pypi.org/project/geoviews,2024-01-24 10:44:36.000,39.0,7768.0,12869.0,https://anaconda.org/conda-forge/geoviews,2023-11-02 09:01:15.038,209167.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +355,PyStan,stan-dev/pystan,probabilistics,,https://github.com/stan-dev/pystan,https://github.com/stan-dev/pystan,ISC,2017-03-06 19:56:42.094,2024-01-05 22:49:00.000000,2024-01-05 22:49:00,224.0,5.0,55.0,13.0,201.0,12.0,186.0,302.0,"PyStan, a Python interface to Stan, a platform for statistical modeling. Documentation: https://pystan.readthedocs.io.",14.0,29,True,2023-12-14 11:17:15.000,3.8.0,70.0,pystan,conda-forge/pystan,,,,9866.0,9604.0,https://pypi.org/project/pystan,2023-12-14 11:17:15.000,262.0,1680774.0,1714377.0,https://anaconda.org/conda-forge/pystan,2023-06-16 13:14:39.735,2789090.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +356,Cython BLIS,explosion/cython-blis,others,,https://github.com/explosion/cython-blis,https://github.com/explosion/cython-blis,BSD-3-Clause,2017-10-15 09:56:16.000,2023-11-03 15:14:22.000000,2023-11-03 14:46:16,569.0,,38.0,13.0,69.0,7.0,25.0,207.0,Fast matrix-multiplication as a self-contained Python library no system dependencies!.,12.0,29,False,2023-09-22 06:31:01.000,0.7.11,46.0,blis,conda-forge/cython-blis,,,,38519.0,38270.0,https://pypi.org/project/blis,2023-09-22 06:27:17.000,249.0,5349759.0,5399585.0,https://anaconda.org/conda-forge/cython-blis,2023-10-01 08:59:57.840,2042902.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +357,vit-pytorch,lucidrains/vit-pytorch,image,,https://github.com/lucidrains/vit-pytorch,https://github.com/lucidrains/vit-pytorch,MIT,2020-10-03 22:47:24.000,2023-12-23 16:12:25.000000,2023-12-23 16:11:39,302.0,2.0,2640.0,138.0,44.0,113.0,131.0,16841.0,"Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single..",20.0,28,True,2023-12-23 16:12:25.000,1.6.5,185.0,vit-pytorch,,,,['pytorch'],402.0,396.0,https://pypi.org/project/vit-pytorch,2023-12-23 16:12:25.000,6.0,28225.0,28225.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +358,qdrant,qdrant/qdrant,nlp,,https://github.com/qdrant/qdrant,https://github.com/qdrant/qdrant,Apache-2.0,2020-05-30 21:37:01.000,2024-02-01 14:46:52.000000,2024-01-29 15:33:27,2178.0,264.0,966.0,112.0,2402.0,210.0,759.0,15926.0,"Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud..",80.0,28,True,2024-01-29 17:23:33.000,1.7.4,62.0,,,,,,,,,,,,310.0,,,,,,,,2.0,10568.0,,,,,,,,,,,,,,,,,,,, +359,PaddleDetection,PaddlePaddle/PaddleDetection,image,,https://github.com/PaddlePaddle/PaddleDetection,https://github.com/PaddlePaddle/PaddleDetection,Apache-2.0,2019-10-25 07:21:14.000,2024-02-01 11:32:08.000000,2023-12-28 07:35:14,2224.0,1.0,2779.0,192.0,3604.0,1423.0,3854.0,11765.0,"Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object..",159.0,28,True,2023-10-19 03:47:18.000,2.7.0,9.0,paddledet,,,,['paddle'],1.0,,https://pypi.org/project/paddledet,2022-09-19 20:42:09.271,1.0,607.0,607.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +360,english-words,dwyl/english-words,nlp,,https://github.com/dwyl/english-words,https://github.com/dwyl/english-words,Unlicense,2014-07-13 22:20:45.000,2023-12-04 21:17:36.000000,2022-11-08 22:11:16,98.0,,1765.0,203.0,70.0,107.0,36.0,9785.0,A text file containing 479k English words for all your dictionary/word-based projects e.g: auto-completion /..,30.0,28,False,2023-05-24 15:11:00.531,2.0.1,9.0,english-words,,,,,12.0,2.0,https://pypi.org/project/english-words,2023-05-24 15:11:00.531,10.0,281485.0,281485.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +361,FinRL,AI4Finance-Foundation/FinRL,reinforcement-learning,,https://github.com/AI4Finance-Foundation/FinRL,https://github.com/AI4Finance-Foundation/FinRL,MIT,2020-07-26 13:18:16.000,2024-01-31 06:55:49.000000,2024-01-31 06:55:46,2885.0,22.0,2078.0,196.0,409.0,193.0,471.0,8726.0,FinRL: Financial Reinforcement Learning.,109.0,28,True,2022-06-26 01:52:35.000,0.3.6,1.0,finrl,,,,,29.0,29.0,https://pypi.org/project/finrl,,,1062.0,1062.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +362,Facets Overview,pair-code/facets,data-viz,,https://github.com/PAIR-code/facets,https://github.com/PAIR-code/facets,Apache-2.0,2017-07-07 14:03:03.000,2023-05-24 15:58:01.158000,2023-05-24 15:56:22,277.0,,909.0,268.0,98.0,82.0,81.0,7289.0,Visualizations for machine learning datasets.,31.0,28,True,2023-05-24 15:58:01.158,1.1.1,9.0,facets-overview,,,,['jupyter'],221.0,213.0,https://pypi.org/project/facets-overview,2023-05-24 15:58:01.158,8.0,234559.0,234559.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +363,TensorLayer,tensorlayer/tensorlayer,reinforcement-learning,,https://github.com/tensorlayer/TensorLayer,https://github.com/tensorlayer/TensorLayer,Apache-2.0,2016-06-07 15:55:16.000,2023-12-02 01:27:38.759000,2023-02-18 07:58:21,3353.0,,1639.0,461.0,698.0,33.0,441.0,7272.0,Deep Learning and Reinforcement Learning Library for Scientists and Engineers.,134.0,28,True,2022-02-15 02:05:47.000,2.2.5,84.0,tensorlayer,,,,['tensorflow'],40.0,,https://pypi.org/project/tensorlayer,2022-02-15 02:05:47.000,40.0,1304.0,1326.0,,,,,,,,2.0,1997.0,,,,,,,,,,,,,,,,,,,, +364,Face Alignment,1adrianb/face-alignment,image,,https://github.com/1adrianb/face-alignment,https://github.com/1adrianb/face-alignment,BSD-3-Clause,2017-09-15 20:32:44.000,2023-10-24 07:07:43.000000,2023-08-16 23:55:56,220.0,,1325.0,175.0,46.0,79.0,236.0,6701.0,2D and 3D Face alignment library build using pytorch.,26.0,28,True,2023-08-17 14:43:11.000,1.4.1,14.0,face-alignment,,,,['pytorch'],33.0,21.0,https://pypi.org/project/face-alignment,2023-08-17 14:43:11.000,12.0,63500.0,63500.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +365,NuPIC,numenta/nupic,ml-frameworks,,https://github.com/numenta/nupic-legacy,https://github.com/numenta/nupic-legacy,AGPL-3.0,2013-04-05 23:14:27.000,2023-09-01 15:42:16.000000,2023-08-31 21:49:25,6626.0,,1582.0,624.0,2111.0,464.0,1338.0,6334.0,"Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of..",123.0,28,False,2018-06-01 15:39:25.550,1.0.5,53.0,nupic,,,,,59.0,21.0,https://pypi.org/project/nupic,2016-09-01 21:30:21.000,38.0,1619.0,1619.0,,,,,,,,3.0,3.0,,,numenta/nupic-legacy,,,,,,,,,,,,,,,,, +366,pyAudioAnalysis,tyiannak/pyAudioAnalysis,audio,,https://github.com/tyiannak/pyAudioAnalysis,https://github.com/tyiannak/pyAudioAnalysis,Apache-2.0,2014-08-27 12:43:13.000,2023-10-22 09:33:23.000000,2023-10-22 09:33:23,779.0,,1156.0,212.0,91.0,194.0,120.0,5576.0,"Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications.",28.0,28,True,2022-02-07 22:36:53.000,0.3.14,23.0,pyAudioAnalysis,,,,,449.0,429.0,https://pypi.org/project/pyAudioAnalysis,2022-02-07 22:36:53.000,20.0,9891.0,9891.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +367,keras-rl,keras-rl/keras-rl,reinforcement-learning,,https://github.com/keras-rl/keras-rl,https://github.com/keras-rl/keras-rl,MIT,2016-07-02 15:53:12.000,2023-09-17 12:33:41.000000,2019-11-11 22:14:54,308.0,,1368.0,207.0,158.0,44.0,227.0,5465.0,Deep Reinforcement Learning for Keras.,41.0,28,False,2018-06-01 07:52:24.000,0.4.2,8.0,keras-rl,,,,['tensorflow'],791.0,737.0,https://pypi.org/project/keras-rl,2018-06-01 07:52:24.000,54.0,2658.0,2658.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +368,layout-parser,Layout-Parser/layout-parser,image,,https://github.com/Layout-Parser/layout-parser,https://github.com/Layout-Parser/layout-parser,Apache-2.0,2020-06-10 20:22:54.000,2023-12-05 10:04:41.000000,2022-08-06 21:47:18,182.0,,413.0,68.0,58.0,86.0,56.0,4238.0,A Unified Toolkit for Deep Learning Based Document Image Analysis.,8.0,28,False,2022-04-06 04:38:09.000,0.3.4,11.0,layoutparser,,,,,1117.0,1113.0,https://pypi.org/project/layoutparser,2022-04-06 04:38:09.000,4.0,135851.0,135851.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +369,Alpha Vantage,RomelTorres/alpha_vantage,financial-data,,https://github.com/RomelTorres/alpha_vantage,https://github.com/RomelTorres/alpha_vantage,MIT,2017-04-29 17:23:00.000,2023-12-29 12:20:18.000000,2023-11-11 01:23:34,523.0,1.0,707.0,176.0,80.0,8.0,277.0,4123.0,A python wrapper for Alpha Vantage API for financial data.,42.0,28,True,2020-12-21 02:37:29.000,2.3.1,34.0,alpha_vantage,conda-forge/alpha_vantage,,,,504.0,472.0,https://pypi.org/project/alpha_vantage,2020-12-21 02:36:15.000,32.0,26093.0,26262.0,https://anaconda.org/conda-forge/alpha_vantage,2023-06-16 19:24:19.804,6270.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +370,ta,bukosabino/ta,financial-data,,https://github.com/bukosabino/ta,https://github.com/bukosabino/ta,MIT,2018-01-02 18:08:48.000,2024-01-13 11:36:10.000000,2023-11-02 13:49:44,662.0,,813.0,148.0,126.0,106.0,104.0,3923.0,Technical Analysis Library using Pandas and Numpy.,34.0,28,True,,,7.0,ta,conda-forge/ta,,,,2954.0,2954.0,https://pypi.org/project/ta,,,74448.0,75080.0,https://anaconda.org/conda-forge/ta,2023-11-02 22:03:30.766,22786.0,,,,,2.0,,-3.0,,,,,,,,,,,,,,,,,,, +371,pytorch-summary,sksq96/pytorch-summary,pytorch-utils,,https://github.com/sksq96/pytorch-summary,https://github.com/sksq96/pytorch-summary,MIT,2018-04-23 13:58:04.000,2024-01-28 08:43:51.000000,2021-05-10 18:34:53,57.0,,406.0,39.0,56.0,118.0,43.0,3914.0,Model summary in PyTorch similar to `model.summary()` in Keras.,11.0,28,False,2018-09-26 05:07:28.000,1.5.1,12.0,torchsummary,,,,['pytorch'],12597.0,12477.0,https://pypi.org/project/torchsummary,2018-09-26 05:07:28.000,120.0,138394.0,138394.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +372,Lasagne,Lasagne/Lasagne,ml-frameworks,,https://github.com/Lasagne/Lasagne,https://github.com/Lasagne/Lasagne,MIT,2014-09-11 15:31:41.000,2022-03-26 02:58:32.000000,2019-11-20 20:28:30,1161.0,,971.0,218.0,408.0,140.0,402.0,3848.0,Lightweight library to build and train neural networks in Theano.,72.0,28,False,2015-08-13 21:00:09.000,0.1,2.0,lasagne,,,,,1292.0,1032.0,https://pypi.org/project/lasagne,2015-08-13 21:10:53.000,260.0,1926.0,1926.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +373,missingno,ResidentMario/missingno,data-viz,,https://github.com/ResidentMario/missingno,https://github.com/ResidentMario/missingno,MIT,2016-03-27 15:18:50.000,2023-06-16 13:24:02.087000,2023-02-26 20:07:33,189.0,,455.0,73.0,37.0,9.0,121.0,3754.0,Missing data visualization module for Python.,18.0,28,True,2023-02-26 20:11:59.371,0.5.2,26.0,missingno,conda-forge/missingno,,,,14806.0,14662.0,https://pypi.org/project/missingno,2023-02-26 20:11:59.371,144.0,301149.0,305178.0,https://anaconda.org/conda-forge/missingno,2023-06-16 13:24:02.087,318322.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +374,pytorch-forecasting,jdb78/pytorch-forecasting,time-series-data,,https://github.com/jdb78/pytorch-forecasting,https://github.com/jdb78/pytorch-forecasting,MIT,2020-07-03 13:05:24.000,2024-01-30 20:04:34.000000,2023-12-04 20:15:52,1724.0,32.0,554.0,40.0,786.0,464.0,282.0,3447.0,Time series forecasting with PyTorch.,43.0,28,True,2023-04-10 19:57:38.490,1.0.0,34.0,pytorch-forecasting,conda-forge/pytorch-forecasting,,,,10.0,,https://pypi.org/project/pytorch-forecasting,2020-07-26 21:35:43.000,10.0,54142.0,55453.0,https://anaconda.org/conda-forge/pytorch-forecasting,2023-06-16 19:21:40.268,53751.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +375,vidgear,abhiTronix/vidgear,image,,https://github.com/abhiTronix/vidgear,https://github.com/abhiTronix/vidgear,Apache-2.0,2019-03-17 02:42:42.000,2024-01-10 22:28:30.000000,2023-09-10 15:15:16,1059.0,,231.0,62.0,112.0,6.0,266.0,3101.0,A High-performance cross-platform Video Processing Python framework powerpacked with unique trailblazing features.,14.0,28,True,2023-09-10 15:53:16.000,idgear-0.3.2,21.0,vidgear,,,,,502.0,502.0,https://pypi.org/project/vidgear,,,76253.0,76269.0,,,,,,,,2.0,969.0,,,,,,,,,,,,,,,,,,,, +376,pytorch-optimizer,jettify/pytorch-optimizer,pytorch-utils,,https://github.com/jettify/pytorch-optimizer,https://github.com/jettify/pytorch-optimizer,Apache-2.0,2020-01-03 03:16:39.000,2023-11-22 23:34:56.000000,2023-06-20 03:14:12,435.0,,281.0,34.0,475.0,32.0,30.0,2915.0,torch-optimizer -- collection of optimizers for Pytorch.,26.0,28,True,2021-10-31 02:57:04.000,0.3.0,20.0,torch_optimizer,conda-forge/torch-optimizer,,,['pytorch'],1094.0,1094.0,https://pypi.org/project/torch_optimizer,,,146437.0,146716.0,https://anaconda.org/conda-forge/torch-optimizer,2023-06-16 19:25:40.043,9508.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +377,anomalib,openvinotoolkit/anomalib,others,,https://github.com/openvinotoolkit/anomalib,https://github.com/openvinotoolkit/anomalib,Apache-2.0,2021-11-02 09:11:38.000,2024-02-01 14:21:09.000000,2024-02-01 10:46:57,527.0,25.0,513.0,35.0,714.0,74.0,588.0,2838.0,"An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-..",69.0,28,True,2024-01-09 12:13:07.000,hazelnut_toy_dataset,28.0,anomalib,,,,,49.0,49.0,https://pypi.org/project/anomalib,,,12394.0,12622.0,,,,,,,,2.0,5947.0,,,,,,,,,,,,,,,,,,,, +378,Sweetviz,fbdesignpro/sweetviz,data-viz,,https://github.com/fbdesignpro/sweetviz,https://github.com/fbdesignpro/sweetviz,MIT,2020-05-09 15:25:47.000,2023-12-04 12:10:57.449000,2023-11-29 13:26:08,135.0,8.0,264.0,52.0,19.0,34.0,97.0,2774.0,"Visualize and compare datasets, target values and associations, with one line of code.",11.0,28,True,2023-11-29 13:30:45.000,2.3.1,35.0,sweetviz,conda-forge/sweetviz,,,,1989.0,1969.0,https://pypi.org/project/sweetviz,2023-11-29 13:27:52.000,20.0,63604.0,64358.0,https://anaconda.org/conda-forge/sweetviz,2023-12-04 12:10:57.449,27147.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +379,dtreeviz,parrt/dtreeviz,interpretability,,https://github.com/parrt/dtreeviz,https://github.com/parrt/dtreeviz,MIT,2018-08-13 21:45:15.000,2024-01-06 17:57:28.000000,2024-01-06 17:57:28,619.0,2.0,326.0,47.0,120.0,60.0,135.0,2741.0,A python library for decision tree visualization and model interpretation.,26.0,28,True,2023-07-13 17:23:01.507,2.2.2,41.0,dtreeviz,conda-forge/dtreeviz,,,,1060.0,1036.0,https://pypi.org/project/dtreeviz,2022-07-07 17:18:00.886,24.0,142769.0,144438.0,https://anaconda.org/conda-forge/dtreeviz,2023-07-13 20:18:43.899,65096.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +380,DeepKE,zjunlp/deepke,nlp,,https://github.com/zjunlp/DeepKE,https://github.com/zjunlp/DeepKE,MIT,2018-08-01 01:54:52.000,2024-01-27 13:52:04.000000,2024-01-27 13:17:21,1509.0,46.0,598.0,44.0,28.0,1.0,377.0,2691.0,An Open Toolkit for Knowledge Graph Extraction and Construction published at EMNLP2022 System Demonstrations.,31.0,28,True,2023-09-21 04:12:03.000,2.2.7,111.0,deepke,,,,['pytorch'],20.0,20.0,https://pypi.org/project/deepke,2023-09-21 04:12:03.000,,563.0,563.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +381,scikit-plot,reiinakano/scikit-plot,interpretability,,https://github.com/reiinakano/scikit-plot,https://github.com/reiinakano/scikit-plot,MIT,2017-02-04 06:22:59.000,2023-09-13 13:50:05.000000,2018-08-19 12:37:47,130.0,,276.0,67.0,59.0,21.0,39.0,2373.0,An intuitive library to add plotting functionality to scikit-learn objects.,13.0,28,False,2018-08-19 12:21:01.000,0.3.7,17.0,scikit-plot,conda-forge/scikit-plot,,,['sklearn'],4389.0,4389.0,https://pypi.org/project/scikit-plot,,,496914.0,499044.0,https://anaconda.org/conda-forge/scikit-plot,2023-06-16 13:22:21.652,168307.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +382,langid,saffsd/langid.py,nlp,,https://github.com/saffsd/langid.py,https://github.com/saffsd/langid.py,BSD-3-Clause,2011-04-29 00:16:56.000,2020-01-01 10:49:30.000000,2017-07-15 02:49:17,242.0,,304.0,65.0,14.0,28.0,46.0,2208.0,Stand-alone language identification system.,9.0,28,False,2016-04-05 22:34:15.000,1.1.6,8.0,langid,,,,,10319.0,10112.0,https://pypi.org/project/langid,2016-04-05 22:34:15.000,207.0,332297.0,332297.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +383,ogb,snap-stanford/ogb,graph,,https://github.com/snap-stanford/ogb,https://github.com/snap-stanford/ogb,MIT,2019-11-22 22:13:57.000,2024-01-31 18:35:29.000000,2023-12-02 08:46:41,671.0,1.0,400.0,42.0,61.0,19.0,269.0,1827.0,"Benchmark datasets, data loaders, and evaluators for graph machine learning.",32.0,28,True,2023-04-07 06:00:55.135,1.3.6,19.0,ogb,conda-forge/ogb,,,,1391.0,1369.0,https://pypi.org/project/ogb,2022-11-02 22:00:56.960,22.0,33996.0,34728.0,https://anaconda.org/conda-forge/ogb,2023-06-16 19:21:31.692,30024.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +384,torchrec,pytorch/torchrec,recommender-systems,,https://github.com/pytorch/torchrec,https://github.com/pytorch/torchrec,BSD-3-Clause,2021-07-12 23:15:48.000,2024-02-01 11:34:38.000000,2024-02-01 06:29:42,1500.0,147.0,321.0,29.0,1548.0,24.0,101.0,1644.0,Pytorch domain library for recommendation systems.,202.0,28,True,2024-01-30 23:40:14.000,0.6.0,12.0,torchrec-nightly-cpu,,,,,86.0,86.0,https://pypi.org/project/torchrec-nightly-cpu,,,85.0,85.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +385,avalanche,ContinualAI/avalanche,others,,https://github.com/ContinualAI/avalanche,https://github.com/ContinualAI/avalanche,MIT,2020-03-05 11:32:13.000,2024-01-29 17:24:35.000000,2024-01-26 13:19:25,3780.0,63.0,261.0,27.0,557.0,83.0,695.0,1586.0,Avalanche: an End-to-End Library for Continual Learning based on PyTorch.,75.0,28,True,2023-07-28 14:24:47.000,0.4.0,7.0,avalanche-lib,,,,,67.0,66.0,https://pypi.org/project/avalanche-lib,2023-07-28 14:24:47.000,1.0,969.0,969.0,,,,,,,,2.0,4.0,,,,,,,,,,,,,,,,,,,, +386,USearch,unum-cloud/usearch,nn-search,,https://github.com/unum-cloud/usearch,https://github.com/unum-cloud/usearch,Apache-2.0,2023-02-22 09:20:20.000,2024-01-31 23:20:13.000000,2024-01-24 20:21:30,1451.0,44.0,67.0,18.0,271.0,28.0,52.0,1361.0,"Fast Open-Source Search & Clustering engine for Vectors & Strings in C++, C, Python, JavaScript, Rust, Java,..",27.0,28,True,2024-01-24 20:22:31.947,2.8.16,104.0,usearch,,unum/usearch,,,58.0,47.0,https://pypi.org/project/usearch,2024-01-09 17:27:36.000,3.0,41399.0,51773.0,,,,https://hub.docker.com/r/unum/usearch,2024-01-24 20:23:18.734988,1.0,71.0,3.0,901.0,,,,usearch,https://www.npmjs.com/package/usearch,2024-01-24 20:22:31.947,8.0,10269.0,,,,,,,,,,,, +387,Model Analysis,tensorflow/model-analysis,interpretability,,https://github.com/tensorflow/model-analysis,https://github.com/tensorflow/model-analysis,Apache-2.0,2018-03-23 19:08:49.000,2024-01-31 21:42:24.000000,2024-01-31 21:42:23,1405.0,34.0,275.0,74.0,104.0,34.0,53.0,1227.0,Model analysis tools for TensorFlow.,57.0,28,True,2023-08-14 20:39:41.000,0.45.0,56.0,tensorflow-model-analysis,,,,"['tensorflow', 'jupyter']",25.0,2.0,https://pypi.org/project/tensorflow-model-analysis,2023-08-14 20:39:41.000,23.0,71722.0,71722.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +388,empyrical,quantopian/empyrical,financial-data,,https://github.com/quantopian/empyrical,https://github.com/quantopian/empyrical,Apache-2.0,2016-03-18 10:22:52.000,2024-01-31 21:10:59.000000,2020-10-14 13:22:39,167.0,,336.0,71.0,87.0,27.0,26.0,1198.0,Common financial risk and performance metrics. Used by zipline and pyfolio.,22.0,28,False,2020-10-13 21:29:19.000,0.5.5,21.0,empyrical,conda-forge/empyrical,,,,1433.0,1289.0,https://pypi.org/project/empyrical,2020-10-13 21:29:19.000,144.0,28006.0,28366.0,https://anaconda.org/conda-forge/empyrical,2023-06-16 16:07:55.979,25940.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +389,PySwarms,ljvmiranda921/pyswarms,others,,https://github.com/ljvmiranda921/pyswarms,https://github.com/ljvmiranda921/pyswarms,MIT,2017-07-12 12:04:45.000,2023-12-24 14:31:48.000000,2023-06-06 09:46:40,415.0,,325.0,39.0,300.0,23.0,200.0,1185.0,A research toolkit for particle swarm optimization in Python.,45.0,28,True,2021-01-03 21:34:15.000,1.3.0,20.0,pyswarms,,,,,347.0,333.0,https://pypi.org/project/pyswarms,2021-01-03 21:34:15.000,14.0,41833.0,41833.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +390,Prince,MaxHalford/prince,others,,https://github.com/MaxHalford/prince,https://github.com/MaxHalford/prince,MIT,2016-10-22 12:36:06.000,2024-01-11 20:36:11.000000,2023-12-21 17:09:15,394.0,8.0,177.0,25.0,31.0,3.0,129.0,1167.0,"Multivariate exploratory data analysis in Python PCA, CA, MCA, MFA, FAMD, GPA.",16.0,28,True,2023-10-11 22:35:06.000,0.13.0,59.0,prince,conda-forge/prince-factor-analysis,,,['sklearn'],495.0,485.0,https://pypi.org/project/prince,2023-10-11 22:35:06.000,10.0,126856.0,127203.0,https://anaconda.org/conda-forge/prince-factor-analysis,2023-06-16 16:19:02.748,17714.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +391,scikit-lego,koaning/scikit-lego,sklearn-utils,,https://github.com/koaning/scikit-lego,https://github.com/koaning/scikit-lego,MIT,2019-01-21 15:30:15.000,2024-01-29 20:20:07.000000,2024-01-29 19:56:57,489.0,15.0,106.0,23.0,326.0,30.0,258.0,1099.0,Extra blocks for scikit-learn pipelines.,62.0,28,True,2024-01-29 20:20:07.000,0.7.4,47.0,scikit-lego,conda-forge/scikit-lego,,,['sklearn'],138.0,130.0,https://pypi.org/project/scikit-lego,2024-01-29 19:55:10.000,8.0,28621.0,29639.0,https://anaconda.org/conda-forge/scikit-lego,2023-07-19 07:17:55.286,45842.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +392,dask-ml,dask/dask-ml,distributed-ml,,https://github.com/dask/dask-ml,https://github.com/dask/dask-ml,BSD-3-Clause,2017-06-15 15:56:06.000,2023-06-27 23:50:02.000000,2023-03-24 22:04:13,811.0,,246.0,41.0,502.0,271.0,253.0,876.0,Scalable Machine Learning with Dask.,77.0,28,True,2023-03-24 22:06:04.422,2023.3.24,35.0,dask-ml,conda-forge/dask-ml,,,,1020.0,946.0,https://pypi.org/project/dask-ml,2023-03-24 22:06:04.422,74.0,230375.0,240860.0,https://anaconda.org/conda-forge/dask-ml,2023-06-16 13:24:06.152,796895.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +393,data-validation,tensorflow/data-validation,data-viz,,https://github.com/tensorflow/data-validation,https://github.com/tensorflow/data-validation,Apache-2.0,2018-07-02 15:47:02.000,2024-01-08 19:04:03.000000,2024-01-08 19:04:02,943.0,12.0,162.0,49.0,83.0,35.0,144.0,740.0,Library for exploring and validating machine learning data.,26.0,28,True,2023-08-14 06:58:23.000,1.14.0,44.0,tensorflow-data-validation,,,,"['tensorflow', 'jupyter']",824.0,794.0,https://pypi.org/project/tensorflow-data-validation,2023-08-14 06:58:23.000,30.0,183875.0,183884.0,,,,,,,,3.0,642.0,,,,,,,,,,,,,,,,,,,, +394,quinn,MrPowers/quinn,ml-experiments,,https://github.com/MrPowers/quinn,https://github.com/MrPowers/quinn,Apache-2.0,2017-09-15 13:02:42.000,2024-02-01 13:26:16.000000,2024-01-28 17:18:40,289.0,82.0,80.0,21.0,92.0,35.0,57.0,549.0,pyspark methods to enhance developer productivity.,24.0,28,True,2023-02-17 21:55:30.000,0.10.0,13.0,quinn,,,,['spark'],80.0,74.0,https://pypi.org/project/quinn,2023-02-17 21:54:00.812,6.0,859156.0,859156.0,,,,,,,,3.0,9.0,,,,,,,,,,,,,,,,,,,, +395,Ciphey,Ciphey/Ciphey,nlp,,https://github.com/Ciphey/Ciphey,https://github.com/Ciphey/Ciphey,MIT,2019-07-16 20:20:39.000,2024-01-05 18:26:12.000000,2023-10-12 07:20:40,1894.0,,957.0,225.0,454.0,64.0,264.0,15066.0,"Automatically decrypt encryptions without knowing the key or cipher, decode encodings, and crack hashes.",48.0,27,True,2021-06-06 17:15:00.281,5.14.0,50.0,ciphey,,remnux/ciphey,,,,,https://pypi.org/project/ciphey,2021-06-06 17:15:00.281,,46659.0,47060.0,,,,https://hub.docker.com/r/remnux/ciphey,2023-10-14 18:53:31.974373,15.0,22061.0,2.0,,,,,,,,,,,,,,,,,,,,, +396,Dopamine,google/dopamine,reinforcement-learning,,https://github.com/google/dopamine,https://github.com/google/dopamine,Apache-2.0,2018-07-26 09:58:36.000,2023-11-27 11:39:00.000000,2023-11-27 11:38:59,333.0,8.0,1387.0,434.0,50.0,98.0,87.0,10305.0,Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.,15.0,27,True,2022-09-21 20:20:42.649,4.0.6,44.0,dopamine-rl,,,,['tensorflow'],57.0,21.0,https://pypi.org/project/dopamine-rl,2022-09-21 20:20:42.649,36.0,25005.0,25005.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +397,pysc2,deepmind/pysc2,others,,https://github.com/google-deepmind/pysc2,https://github.com/google-deepmind/pysc2,Apache-2.0,2017-07-25 18:16:57.000,2023-07-09 00:54:49.000000,2023-04-19 16:47:52,581.0,,1153.0,352.0,79.0,48.0,231.0,7877.0,StarCraft II Learning Environment.,39.0,27,True,2022-07-13 12:08:43.000,4.0,8.0,pysc2,,,,,701.0,675.0,https://pypi.org/project/pysc2,2022-07-13 12:02:04.256,26.0,1246.0,1643.0,,,,,,,,3.0,30992.0,,,google-deepmind/pysc2,,,,,,,,,,,,,,,,, +398,EfficientNet-PyTorch,lukemelas/EfficientNet-PyTorch,pytorch-utils,,https://github.com/lukemelas/EfficientNet-PyTorch,https://github.com/lukemelas/EfficientNet-PyTorch,Apache-2.0,2019-05-30 05:24:11.000,2022-04-08 12:30:25.000000,2021-04-15 15:16:36,162.0,,1500.0,131.0,51.0,155.0,141.0,7663.0,A PyTorch implementation of EfficientNet and EfficientNetV2 (coming soon!).,24.0,27,False,2021-04-15 15:17:23.000,0.7.1,13.0,efficientnet-pytorch,,,,['pytorch'],44.0,1.0,https://pypi.org/project/efficientnet-pytorch,2021-04-15 15:17:23.000,43.0,141753.0,219621.0,,,,,,,,2.0,3659798.0,,,,,,,,,,,,,,,,,,,, +399,snownlp,isnowfy/snownlp,chinese-nlp,,https://github.com/isnowfy/snownlp,https://github.com/isnowfy/snownlp,MIT,2013-11-26 11:46:56.000,2020-01-19 02:39:05.000000,2020-01-19 02:39:03,57.0,,1352.0,348.0,14.0,42.0,65.0,6270.0,Python library for processing Chinese text.,8.0,27,False,2015-09-27 16:35:23.000,0.12.3,17.0,snownlp,,,,,1326.0,1284.0,https://pypi.org/project/snownlp,2015-09-27 16:35:23.000,42.0,13960.0,13960.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +400,scikit-surprise,NicolasHug/Surprise,recommender-systems,,https://github.com/NicolasHug/Surprise,https://github.com/NicolasHug/Surprise,BSD-3-Clause,2016-10-23 14:59:38.000,2023-10-06 08:13:53.418000,2023-01-27 13:12:44,652.0,,978.0,146.0,93.0,75.0,305.0,6116.0,A Python scikit for building and analyzing recommender systems.,45.0,27,False,2022-09-23 17:17:00.724,1.1.3,11.0,scikit-surprise,conda-forge/scikit-surprise,,,,71.0,21.0,https://pypi.org/project/scikit-surprise,2022-09-23 17:17:00.724,50.0,135339.0,143475.0,https://anaconda.org/conda-forge/scikit-surprise,2023-10-06 08:13:53.418,349861.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +401,GluonCV,dmlc/gluon-cv,image,,https://github.com/dmlc/gluon-cv,https://github.com/dmlc/gluon-cv,Apache-2.0,2018-02-26 01:33:21.000,2023-01-19 00:37:33.000000,2023-01-19 00:37:33,900.0,,1193.0,154.0,950.0,44.0,782.0,5708.0,Gluon CV Toolkit.,119.0,27,False,2021-03-09 00:20:06.000,0.10.0,10.0,gluoncv,,,,['mxnet'],21.0,21.0,https://pypi.org/project/gluoncv,,,44587.0,44587.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +402,FATE,FederatedAI/FATE,privacy-ml,,https://github.com/FederatedAI/FATE,https://github.com/FederatedAI/FATE,Apache-2.0,2019-01-24 10:32:43.000,2024-01-31 08:27:01.000000,2024-01-31 08:27:01,13654.0,461.0,1559.0,142.0,3553.0,811.0,1059.0,5374.0,An Industrial Grade Federated Learning Framework.,100.0,27,True,2023-12-31 15:27:11.000,2.0.0,48.0,ETAF,,,,,,,https://pypi.org/project/ETAF,2020-05-06 09:35:40.000,,,,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +403,Edward,blei-lab/edward,probabilistics,,https://github.com/blei-lab/edward,https://github.com/blei-lab/edward,Apache-2.0,2016-02-10 20:06:05.000,2023-10-03 15:08:28.000000,2018-07-25 01:28:08,1796.0,,780.0,275.0,438.0,221.0,329.0,4807.0,"A probabilistic programming language in TensorFlow. Deep generative models, variational inference.",87.0,27,False,2018-01-22 06:03:37.000,1.3.5,28.0,edward,,,,['tensorflow'],345.0,305.0,https://pypi.org/project/edward,2018-01-22 06:03:05.000,40.0,378.0,378.0,,,,,,,,3.0,16.0,,,,,,,,,,,,,,,,,,,, +404,vaderSentiment,cjhutto/vaderSentiment,nlp,,https://github.com/cjhutto/vaderSentiment,https://github.com/cjhutto/vaderSentiment,MIT,2014-11-17 16:31:45.000,2023-06-16 19:25:16.902000,2022-04-01 13:57:36,131.0,,956.0,144.0,30.0,46.0,77.0,4177.0,VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based..,11.0,27,False,2020-05-22 15:07:00.000,3.3.2,15.0,vadersentiment,conda-forge/vadersentiment,,,,8069.0,7875.0,https://pypi.org/project/vadersentiment,2020-05-22 15:07:00.000,194.0,151148.0,151536.0,https://anaconda.org/conda-forge/vadersentiment,2023-06-16 19:25:16.902,13590.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +405,facenet-pytorch,timesler/facenet-pytorch,image,,https://github.com/timesler/facenet-pytorch,https://github.com/timesler/facenet-pytorch,MIT,2019-05-25 01:29:24.000,2023-11-02 03:20:32.000000,2023-11-02 03:20:28,249.0,,811.0,51.0,50.0,62.0,106.0,3970.0,Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models.,16.0,27,True,2023-04-07 19:27:35.000,2.5.3,7.0,facenet-pytorch,,,,['pytorch'],1516.0,1516.0,https://pypi.org/project/facenet-pytorch,,,47501.0,62556.0,,,,,,,,3.0,767847.0,,,,,,,,,,,,,,,,,,,, +406,TensorFlowOnSpark,yahoo/TensorFlowOnSpark,distributed-ml,,https://github.com/yahoo/TensorFlowOnSpark,https://github.com/yahoo/TensorFlowOnSpark,Apache-2.0,2017-01-20 18:15:57.000,2023-07-10 10:34:11.000000,2023-04-27 20:08:56,632.0,,964.0,283.0,226.0,11.0,356.0,3862.0,TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.,34.0,27,True,2022-04-21 20:41:22.000,2.2.5,32.0,tensorflowonspark,conda-forge/tensorflowonspark,,,"['tensorflow', 'spark']",5.0,,https://pypi.org/project/tensorflowonspark,2022-04-21 20:05:56.000,5.0,602083.0,602500.0,https://anaconda.org/conda-forge/tensorflowonspark,2023-06-16 16:19:28.736,20891.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +407,Acme,deepmind/acme,reinforcement-learning,,https://github.com/google-deepmind/acme,https://github.com/google-deepmind/acme,Apache-2.0,2020-05-01 09:18:12.000,2024-01-03 16:45:49.000000,2024-01-03 16:44:47,1195.0,3.0,402.0,83.0,54.0,57.0,202.0,3315.0,A library of reinforcement learning components and agents.,84.0,27,True,2022-02-10 06:52:27.000,0.4.0,15.0,dm-acme,conda-forge/dm-acme,,,['tensorflow'],188.0,185.0,https://pypi.org/project/dm-acme,2022-02-10 06:52:27.000,3.0,991.0,1198.0,https://anaconda.org/conda-forge/dm-acme,2023-06-16 19:23:44.096,8108.0,,,,,2.0,,,,google-deepmind/acme,,,,,,,,,,,,,,,,, +408,Hummingbird,microsoft/hummingbird,model-serialisation,,https://github.com/microsoft/hummingbird,https://github.com/microsoft/hummingbird,MIT,2020-03-12 20:27:03.000,2024-02-01 13:28:58.000000,2024-01-25 18:39:45,458.0,10.0,272.0,48.0,451.0,61.0,253.0,3270.0,Hummingbird compiles trained ML models into tensor computation for faster inference.,39.0,27,True,2024-01-08 18:51:52.000,0.4.10,23.0,hummingbird-ml,conda-forge/hummingbird-ml,,,,4.0,,https://pypi.org/project/hummingbird-ml,2024-01-08 18:51:52.000,4.0,9695.0,10782.0,https://anaconda.org/conda-forge/hummingbird-ml,2024-01-08 20:24:23.326,37794.0,,,,,2.0,360.0,,,,,,,,,,,,,,,,,,,, +409,fastNLP,fastnlp/fastNLP,nlp,,https://github.com/fastnlp/fastNLP,https://github.com/fastnlp/fastNLP,Apache-2.0,2018-03-07 13:30:20.000,2023-06-05 03:00:37.000000,2022-12-13 03:52:09,2484.0,,455.0,83.0,245.0,61.0,154.0,3023.0,fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.,61.0,27,False,2022-10-31 14:47:34.183,1.0.1,24.0,fastnlp,,,,,176.0,174.0,https://pypi.org/project/fastnlp,2022-10-31 14:47:34.183,2.0,46120.0,46121.0,,,,,,,,2.0,75.0,,,,,,,,,,,,,,,,,,,, +410,StellarGraph,stellargraph/stellargraph,graph,,https://github.com/stellargraph/stellargraph,https://github.com/stellargraph/stellargraph,Apache-2.0,2018-04-13 07:35:51.000,2023-09-14 20:07:18.000000,2021-10-29 06:15:49,2535.0,,412.0,64.0,932.0,315.0,745.0,2840.0,StellarGraph - Machine Learning on Graphs.,37.0,27,False,2021-02-22 06:35:38.731,1.2.1,25.0,stellargraph,,,,['tensorflow'],257.0,249.0,https://pypi.org/project/stellargraph,2021-02-22 06:35:38.731,8.0,5147.0,5147.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +411,Foolbox,bethgelab/foolbox,adversarial,,https://github.com/bethgelab/foolbox,https://github.com/bethgelab/foolbox,MIT,2017-06-14 13:05:48.000,2024-01-22 22:53:21.000000,2024-01-22 22:53:18,1699.0,2.0,413.0,45.0,351.0,32.0,345.0,2609.0,"A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX.",33.0,27,True,2022-04-02 15:26:45.000,3.3.3,70.0,foolbox,conda-forge/foolbox,,,,566.0,552.0,https://pypi.org/project/foolbox,2022-04-02 15:26:45.000,14.0,1515.0,1808.0,https://anaconda.org/conda-forge/foolbox,2023-06-16 19:20:41.396,12629.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +412,IB-insync,erdewit/ib_insync,financial-data,,https://github.com/erdewit/ib_insync,https://github.com/erdewit/ib_insync,BSD-2-Clause,2017-07-12 12:09:24.000,2023-12-11 14:10:13.000000,2023-12-11 14:10:09,768.0,6.0,597.0,178.0,75.0,23.0,560.0,2566.0,Python sync/async framework for Interactive Brokers API.,36.0,27,True,2023-07-02 12:44:10.283,0.9.86,111.0,ib_insync,conda-forge/ib-insync,,,,28.0,,https://pypi.org/project/ib_insync,2022-11-21 09:32:01.715,28.0,32350.0,33047.0,https://anaconda.org/conda-forge/ib-insync,2023-06-16 16:16:07.159,38371.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +413,Fairness 360,Trusted-AI/AIF360,interpretability,,https://github.com/Trusted-AI/AIF360,https://github.com/Trusted-AI/AIF360,Apache-2.0,2018-08-22 20:47:15.000,2024-01-11 19:35:27.000000,2023-11-21 19:33:43,419.0,3.0,783.0,93.0,267.0,146.0,95.0,2242.0,"A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and..",70.0,27,True,2022-09-03 03:41:16.000,0.5.0,10.0,aif360,conda-forge/aif360,,,,362.0,362.0,https://pypi.org/project/aif360,,,9897.0,10089.0,https://anaconda.org/conda-forge/aif360,2023-10-14 06:57:34.052,7902.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +414,Hyperas,maxpumperla/hyperas,hyperopt,,https://github.com/maxpumperla/hyperas,https://github.com/maxpumperla/hyperas,MIT,2016-02-19 14:45:10.000,2023-01-05 06:02:49.000000,2023-01-05 06:02:49,213.0,,317.0,65.0,38.0,96.0,160.0,2166.0,Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization.,22.0,27,False,2019-02-28 09:16:54.000,0.4.1,9.0,hyperas,,,,['tensorflow'],359.0,335.0,https://pypi.org/project/hyperas,2019-02-28 09:16:54.000,24.0,11066.0,11066.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +415,textacy,chartbeat-labs/textacy,nlp,,https://github.com/chartbeat-labs/textacy,https://github.com/chartbeat-labs/textacy,,2016-02-03 16:52:45.000,2023-09-22 23:38:28.000000,2023-04-03 00:19:55,1816.0,,255.0,91.0,124.0,33.0,230.0,2153.0,"NLP, before and after spaCy.",35.0,27,False,2023-04-02 23:06:15.139,0.13.0,32.0,textacy,conda-forge/textacy,,,,1768.0,1653.0,https://pypi.org/project/textacy,2023-04-02 23:06:15.139,115.0,33763.0,35463.0,https://anaconda.org/conda-forge/textacy,2023-06-16 13:22:44.862,137706.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +416,efficientnet,qubvel/efficientnet,tensorflow-utils,,https://github.com/qubvel/efficientnet,https://github.com/qubvel/efficientnet,Apache-2.0,2019-05-30 20:21:09.000,2024-01-24 14:27:34.000000,2021-07-16 09:03:20,66.0,,461.0,39.0,43.0,56.0,58.0,2048.0,Implementation of EfficientNet model. Keras and TensorFlow Keras.,10.0,27,False,2020-09-15 16:22:45.000,1.1.1,8.0,efficientnet,anaconda/efficientnet,,,['tensorflow'],1936.0,1936.0,https://pypi.org/project/efficientnet,,,60159.0,64623.0,https://anaconda.org/anaconda/efficientnet,2023-06-16 19:23:39.686,474.0,,,,,3.0,253792.0,,,,,,,,,,,,,,,,,,,, +417,alibi-detect,SeldonIO/alibi-detect,others,,https://github.com/SeldonIO/alibi-detect,https://github.com/SeldonIO/alibi-detect,Intel,2019-10-07 13:29:13.000,2024-02-01 07:08:04.000000,2024-01-22 16:31:53,715.0,4.0,247.0,34.0,527.0,138.0,234.0,2017.0,"Algorithms for outlier, adversarial and drift detection.",20.0,27,False,2024-01-22 16:25:25.000,0.11.5,37.0,alibi-detect,,,,,420.0,414.0,https://pypi.org/project/alibi-detect,2024-01-22 16:14:47.000,6.0,30163.0,30163.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +418,Labml,labmlai/labml,ml-experiments,,https://github.com/labmlai/labml,https://github.com/labmlai/labml,MIT,2018-11-16 09:34:48.000,2024-02-01 14:39:11.000000,2024-02-01 14:39:11,1758.0,240.0,120.0,29.0,130.0,18.0,20.0,1774.0,Monitor deep learning model training and hardware usage from your mobile phone.,9.0,27,True,2023-09-10 04:20:57.000,0.4.168,144.0,labml,,,,,133.0,127.0,https://pypi.org/project/labml,2023-09-10 04:20:57.000,6.0,3136.0,3136.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +419,lightning-flash,Lightning-AI/lightning-flash,pytorch-utils,,https://github.com/Lightning-Universe/lightning-flash,https://github.com/Lightning-Universe/lightning-flash,Apache-2.0,2021-01-28 18:47:16.000,2023-10-08 14:28:44.000000,2023-10-08 14:28:43,1157.0,,207.0,36.0,1081.0,25.0,496.0,1724.0,Your PyTorch AI Factory - Flash enables you to easily configure and run complex AI recipes for over 15 tasks across 7..,87.0,27,True,2023-06-30 13:17:42.000,0.8.2,26.0,lightning-flash,conda-forge/lightning-flash,,,['pytorch'],262.0,262.0,https://pypi.org/project/lightning-flash,,,1622.0,2191.0,https://anaconda.org/conda-forge/lightning-flash,2023-07-04 02:12:18.993,17096.0,,,,,2.0,,,,Lightning-Universe/lightning-flash,,,,,,,,,,,,,,,,, +420,TF Recommenders,tensorflow/recommenders,recommender-systems,,https://github.com/tensorflow/recommenders,https://github.com/tensorflow/recommenders,Apache-2.0,2020-06-26 21:38:01.000,2023-11-29 06:22:47.000000,2023-11-29 06:22:42,364.0,1.0,251.0,48.0,311.0,232.0,184.0,1718.0,TensorFlow Recommenders is a library for building recommender system models using TensorFlow.,42.0,27,True,2023-02-03 02:17:00.422,0.7.3,16.0,tensorflow-recommenders,,,,['tensorflow'],286.0,285.0,https://pypi.org/project/tensorflow-recommenders,2023-02-03 02:17:00.422,1.0,390860.0,390860.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +421,cuGraph,rapidsai/cugraph,gpu-utilities,,https://github.com/rapidsai/cugraph,https://github.com/rapidsai/cugraph,Apache-2.0,2018-11-15 18:07:11.000,2024-02-01 14:45:58.000000,2024-01-29 15:16:52,6251.0,92.0,264.0,47.0,2534.0,307.0,1351.0,1499.0,cuGraph - RAPIDS Graph Analytics Library.,109.0,27,True,2023-12-06 19:21:19.000,23.12.00,33.0,cugraph,conda-forge/libcugraph,,,,4.0,2.0,https://pypi.org/project/cugraph,2020-06-01 20:09:06.000,2.0,145.0,670.0,https://anaconda.org/conda-forge/libcugraph,2023-06-16 19:25:39.870,17866.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +422,chainercv,chainer/chainercv,image,,https://github.com/chainer/chainercv,https://github.com/chainer/chainercv,MIT,2017-02-13 04:15:10.000,2021-07-01 16:54:50.000000,2020-01-07 11:48:31,4930.0,,300.0,74.0,742.0,37.0,168.0,1477.0,ChainerCV: a Library for Deep Learning in Computer Vision.,39.0,27,False,2019-06-12 11:55:02.000,0.13.1,13.0,chainercv,,,,,385.0,385.0,https://pypi.org/project/chainercv,,,2600.0,2600.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +423,TabPy,tableau/TabPy,others,,https://github.com/tableau/TabPy,https://github.com/tableau/TabPy,MIT,2016-09-27 21:26:03.000,2024-01-04 20:19:39.000000,2024-01-04 20:19:39,950.0,4.0,567.0,107.0,283.0,13.0,300.0,1475.0,Execute Python code on the fly and display results in Tableau visualizations:.,50.0,27,True,2023-06-28 20:49:21.000,2.9.0,31.0,tabpy,anaconda/tabpy-client,,,,148.0,146.0,https://pypi.org/project/tabpy,2023-01-30 23:34:02.112,2.0,10782.0,10836.0,https://anaconda.org/anaconda/tabpy-client,2023-06-16 13:20:17.078,4461.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +424,metric-learn,scikit-learn-contrib/metric-learn,others,,https://github.com/scikit-learn-contrib/metric-learn,https://github.com/scikit-learn-contrib/metric-learn,MIT,2013-11-02 08:29:47.000,2023-10-09 07:21:10.000000,2023-09-29 00:13:39,295.0,,222.0,48.0,184.0,43.0,120.0,1358.0,Metric learning algorithms in Python.,22.0,27,True,2023-09-29 00:16:16.000,0.7.0,11.0,metric-learn,conda-forge/metric-learn,,,['sklearn'],346.0,346.0,https://pypi.org/project/metric-learn,,,14480.0,14738.0,https://anaconda.org/conda-forge/metric-learn,2023-10-09 05:53:11.819,11096.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +425,minisom,JustGlowing/minisom,others,,https://github.com/JustGlowing/minisom,https://github.com/JustGlowing/minisom,CC-BY-3.0,2013-07-03 10:10:06.000,2024-01-19 09:16:46.000000,2024-01-19 09:16:46,562.0,42.0,396.0,31.0,48.0,13.0,121.0,1341.0,MiniSom is a minimalistic implementation of the Self Organizing Maps.,28.0,27,False,2023-03-02 15:10:38.000,2.3.1,24.0,minisom,,,,,542.0,520.0,https://pypi.org/project/minisom,2023-03-02 15:10:03.003,22.0,23522.0,23522.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +426,underthesea,undertheseanlp/underthesea,nlp,,https://github.com/undertheseanlp/underthesea,https://github.com/undertheseanlp/underthesea,GPL-3.0,2017-03-01 10:24:26.000,2023-10-05 01:24:33.000000,2023-10-05 01:24:32,851.0,,262.0,75.0,481.0,40.0,198.0,1295.0,Underthesea - Vietnamese NLP Toolkit.,18.0,27,False,2023-09-22 23:57:31.000,6.8.0,125.0,underthesea,,,,,930.0,903.0,https://pypi.org/project/underthesea,2023-09-22 23:50:49.000,27.0,8052.0,8122.0,,,,,,,,2.0,5728.0,,,,,,,,,,,,,,,,,,,, +427,PySAL,pysal/pysal,geospatial-data,,https://github.com/pysal/pysal,https://github.com/pysal/pysal,BSD-3-Clause,2013-02-19 17:27:42.000,2024-01-31 22:49:08.000000,2024-01-31 09:58:21,4206.0,6.0,285.0,83.0,641.0,18.0,608.0,1239.0,PySAL: Python Spatial Analysis Library Meta-Package.,78.0,27,True,2024-01-31 22:49:04.000,24.01,37.0,pysal,conda-forge/pysal,,,,39.0,,https://pypi.org/project/pysal,2024-01-31 22:49:08.000,39.0,22558.0,34891.0,https://anaconda.org/conda-forge/pysal,2023-10-04 23:43:19.864,530336.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +428,scikit-survival,sebp/scikit-survival,sklearn-utils,,https://github.com/sebp/scikit-survival,https://github.com/sebp/scikit-survival,GPL-3.0,2016-12-26 22:15:53.000,2024-02-01 11:52:02.000000,2024-02-01 11:51:57,1052.0,39.0,206.0,24.0,128.0,23.0,187.0,1030.0,Survival analysis built on top of scikit-learn.,19.0,27,False,2023-12-30 23:36:40.000,0.22.2,28.0,scikit-survival,conda-forge/scikit-survival,,,['sklearn'],436.0,422.0,https://pypi.org/project/scikit-survival,2023-12-30 23:36:40.000,14.0,44751.0,47435.0,https://anaconda.org/conda-forge/scikit-survival,2023-12-31 00:55:10.043,72479.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +429,bambi,bambinos/bambi,probabilistics,,https://github.com/bambinos/bambi,https://github.com/bambinos/bambi,MIT,2016-05-16 03:21:00.000,2024-01-23 22:33:31.000000,2024-01-23 22:31:42,797.0,11.0,111.0,30.0,400.0,64.0,309.0,978.0,BAyesian Model-Building Interface (Bambi) in Python.,36.0,27,True,2023-10-25 02:04:11.000,0.13.0,23.0,bambi,conda-forge/bambi,,,,103.0,103.0,https://pypi.org/project/bambi,,,18228.0,18983.0,https://anaconda.org/conda-forge/bambi,2023-10-27 17:16:55.433,28697.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +430,SMAC3,automl/SMAC3,hyperopt,,https://github.com/automl/SMAC3,https://github.com/automl/SMAC3,BSD-1-Clause,2016-08-17 10:58:05.000,2024-01-10 09:27:27.000000,2023-08-01 13:02:51,2070.0,,214.0,42.0,583.0,83.0,431.0,962.0,SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization.,41.0,27,False,2023-08-01 13:38:54.000,2.0.2,47.0,smac,conda-forge/smac,,,,49.0,,https://pypi.org/project/smac,2023-08-01 13:30:07.000,49.0,67999.0,68522.0,https://anaconda.org/conda-forge/smac,2023-08-11 21:35:06.370,18334.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +431,scikit-multilearn,scikit-multilearn/scikit-multilearn,sklearn-utils,,https://github.com/scikit-multilearn/scikit-multilearn,https://github.com/scikit-multilearn/scikit-multilearn,BSD-2-Clause,2014-04-30 13:05:44.000,2024-02-01 04:40:03.000000,2023-04-19 21:43:19,547.0,,174.0,35.0,86.0,88.0,122.0,887.0,A scikit-learn based module for multi-label et. al. classification.,28.0,27,True,2018-12-10 16:24:47.000,0.2.0,7.0,scikit-multilearn,,,,['sklearn'],1450.0,1426.0,https://pypi.org/project/scikit-multilearn,2018-12-10 16:24:47.000,24.0,53084.0,53084.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +432,CellProfiler,CellProfiler/CellProfiler,image,,https://github.com/CellProfiler/CellProfiler,https://github.com/CellProfiler/CellProfiler,BSD-3-Clause,2011-04-05 12:10:12.000,2024-01-24 23:00:32.000000,2024-01-23 19:42:38,16554.0,42.0,359.0,44.0,1610.0,278.0,2955.0,836.0,An open-source application for biological image analysis.,143.0,27,True,2023-08-14 19:59:48.000,4.2.6,48.0,cellprofiler,,,,,21.0,20.0,https://pypi.org/project/cellprofiler,2023-08-14 19:14:28.000,1.0,749.0,802.0,,,,,,,,3.0,6485.0,,,,,,,,,,,,,,,,,,,, +433,skforecast,JoaquinAmatRodrigo/skforecast,time-series-data,,https://github.com/JoaquinAmatRodrigo/skforecast,https://github.com/JoaquinAmatRodrigo/skforecast,BSD-3-Clause,2021-02-10 11:40:34.000,2024-01-31 11:43:01.000000,2023-12-31 13:58:59,2670.0,180.0,96.0,10.0,510.0,22.0,92.0,800.0,Time series forecasting with scikit-learn models.,9.0,27,True,2023-11-16 21:42:02.000,0.11.0,25.0,skforecast,,,,['sklearn'],241.0,235.0,https://pypi.org/project/skforecast,2023-11-16 21:34:56.000,6.0,52664.0,52664.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +434,baselines,openai/baselines,reinforcement-learning,,https://github.com/openai/baselines,https://github.com/openai/baselines,MIT,2017-05-24 01:58:13.000,2023-11-21 01:05:50.000000,2020-01-31 13:06:18,347.0,,3837.0,649.0,372.0,410.0,436.0,15144.0,OpenAI Baselines: high-quality implementations of reinforcement learning algorithms.,115.0,26,False,,,,baselines,,,,,548.0,548.0,https://pypi.org/project/baselines,,,1086.0,1086.0,,,,,,,,2.0,,-3.0,,,,,,,,,,,,,,,,,,, +435,TTS,mozilla/TTS,audio,,https://github.com/mozilla/TTS,https://github.com/mozilla/TTS,MPL-2.0,2018-01-23 14:22:06.000,2023-11-09 15:37:59.000000,2021-02-12 10:36:31,2184.0,,1141.0,180.0,213.0,24.0,533.0,8509.0,Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts).,56.0,26,False,2021-01-29 00:03:56.000,0.0.9,1.0,,,,,,21.0,21.0,,,,,233.0,,,,,,,,3.0,8632.0,,,,,,,,,,,,,,,,,,,, +436,flashtext,vi3k6i5/flashtext,nlp,,https://github.com/vi3k6i5/flashtext,https://github.com/vi3k6i5/flashtext,MIT,2017-08-15 18:03:01.000,2023-10-23 02:26:28.000000,2020-05-03 07:13:22,108.0,,609.0,140.0,31.0,66.0,54.0,5502.0,Extract Keywords from sentence or Replace keywords in sentences.,7.0,26,False,,,18.0,flashtext,conda-forge/flashtext,,,,1539.0,1490.0,https://pypi.org/project/flashtext,2018-02-16 05:24:17.000,49.0,1019359.0,1019783.0,https://anaconda.org/conda-forge/flashtext,2023-06-16 19:20:49.106,18254.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +437,AugLy,facebookresearch/AugLy,others,,https://github.com/facebookresearch/AugLy,https://github.com/facebookresearch/AugLy,MIT,2021-06-09 17:57:28.000,2024-01-27 02:58:09.000000,2024-01-27 02:54:23,215.0,3.0,293.0,68.0,179.0,22.0,54.0,4868.0,"A data augmentations library for audio, image, text, and video.",34.0,26,True,2023-12-05 20:52:12.000,1.0.1,18.0,augly,,,,,101.0,97.0,https://pypi.org/project/augly,2023-12-05 20:52:12.000,4.0,1479.0,1479.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +438,ArrayFire,arrayfire/arrayfire,gpu-utilities,,https://github.com/arrayfire/arrayfire,https://github.com/arrayfire/arrayfire,BSD-3-Clause,2014-10-28 20:58:33.000,2024-01-10 22:04:02.000000,2023-10-05 16:17:35,6152.0,,513.0,153.0,1903.0,300.0,1327.0,4334.0,ArrayFire: a general purpose GPU library.,88.0,26,True,2023-08-29 19:49:26.000,3.9.0,34.0,arrayfire,,,,,7.0,,https://pypi.org/project/arrayfire,2022-02-22 21:42:15.000,7.0,831.0,882.0,,,,,,,,3.0,5326.0,,,,,,,,,,,,,,,,,,,, +439,TensorTrade,tensortrade-org/tensortrade,financial-data,,https://github.com/tensortrade-org/tensortrade,https://github.com/tensortrade-org/tensortrade,Apache-2.0,2019-07-30 21:28:32.000,2024-01-16 11:28:25.000000,2022-08-23 22:54:23,1046.0,,982.0,239.0,215.0,51.0,200.0,4324.0,"An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.",61.0,26,False,2021-05-10 18:04:30.000,1.0.3,27.0,tensortrade,conda-forge/tensortrade,,,,52.0,51.0,https://pypi.org/project/tensortrade,2021-05-10 18:00:35.000,1.0,572.0,668.0,https://anaconda.org/conda-forge/tensortrade,2023-06-16 19:25:40.006,3266.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +440,OpenPrompt,thunlp/OpenPrompt,nlp,,https://github.com/thunlp/OpenPrompt,https://github.com/thunlp/OpenPrompt,Apache-2.0,2021-09-30 09:38:45.000,2024-01-16 13:26:41.000000,2023-05-06 14:09:10,264.0,,421.0,40.0,52.0,74.0,174.0,4034.0,An Open-Source Framework for Prompt-Learning.,22.0,26,True,2022-07-06 14:27:42.000,1.0.1,5.0,openprompt,,,,,98.0,96.0,https://pypi.org/project/openprompt,2022-07-06 14:27:42.000,2.0,1160.0,1160.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +441,MMOCR,open-mmlab/mmocr,ocr,,https://github.com/open-mmlab/mmocr,https://github.com/open-mmlab/mmocr,Apache-2.0,2021-04-07 13:40:21.000,2023-10-28 04:01:29.000000,2023-09-01 03:04:11,1137.0,,713.0,62.0,1011.0,162.0,737.0,3915.0,"OpenMMLab Text Detection, Recognition and Understanding Toolbox.",90.0,26,True,2023-07-04 07:12:41.567,1.0.1,20.0,mmocr,,,,['pytorch'],113.0,111.0,https://pypi.org/project/mmocr,2022-05-05 14:21:18.000,2.0,4503.0,4503.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +442,Chartify,spotify/chartify,data-viz,,https://github.com/spotify/chartify,https://github.com/spotify/chartify,Apache-2.0,2018-09-17 14:12:05.000,2024-01-10 12:41:25.000000,2023-10-12 08:57:51,209.0,,309.0,85.0,93.0,48.0,32.0,3445.0,Python library that makes it easy for data scientists to create charts.,25.0,26,True,2023-10-12 09:02:25.000,4.0.5,25.0,chartify,conda-forge/chartify,,,,84.0,74.0,https://pypi.org/project/chartify,2023-10-12 09:02:25.000,10.0,4166.0,4633.0,https://anaconda.org/conda-forge/chartify,2023-06-16 16:11:58.064,29452.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +443,LIT,PAIR-code/lit,interpretability,,https://github.com/PAIR-code/lit,https://github.com/PAIR-code/lit,Apache-2.0,2020-07-28 13:07:26.000,2024-01-31 19:22:33.000000,2023-11-08 16:40:21,1347.0,5.0,336.0,71.0,1253.0,91.0,81.0,3275.0,The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and..,34.0,26,True,2023-11-08 16:44:23.000,1.0.2,11.0,lit-nlp,conda-forge/lit-nlp,,,,28.0,27.0,https://pypi.org/project/lit-nlp,2023-11-08 16:44:23.000,1.0,2616.0,4245.0,https://anaconda.org/conda-forge/lit-nlp,2023-06-16 19:21:41.530,66815.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +444,TensorForce,tensorforce/tensorforce,reinforcement-learning,,https://github.com/tensorforce/tensorforce,https://github.com/tensorforce/tensorforce,Apache-2.0,2017-03-19 16:24:22.000,2023-08-14 20:14:15.000000,2023-08-14 20:14:08,2108.0,,538.0,145.0,237.0,36.0,631.0,3269.0,Tensorforce: a TensorFlow library for applied reinforcement learning.,84.0,26,True,2021-08-30 20:20:58.000,0.6.5,24.0,tensorforce,,,,['tensorflow'],436.0,434.0,https://pypi.org/project/tensorforce,2021-08-30 20:13:45.000,2.0,622.0,622.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +445,RecBole,RUCAIBox/RecBole,recommender-systems,,https://github.com/RUCAIBox/RecBole,https://github.com/RUCAIBox/RecBole,MIT,2020-06-11 15:18:11.000,2024-01-21 12:42:30.000000,2023-11-25 05:36:27,4323.0,17.0,556.0,41.0,995.0,204.0,676.0,3050.0,"A unified, comprehensive and efficient recommendation library.",70.0,26,True,2023-11-04 11:23:19.000,1.2.0,10.0,recbole,aibox/recbole,,,['pytorch'],2.0,,https://pypi.org/project/recbole,2023-10-31 12:52:34.000,2.0,1854.0,1967.0,https://anaconda.org/aibox/recbole,2023-11-01 15:53:42.380,4440.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +446,SHOGUN,shogun-toolbox/shogun,ml-frameworks,,https://github.com/shogun-toolbox/shogun,https://github.com/shogun-toolbox/shogun,BSD-3-Clause,2011-04-01 10:44:32.000,2023-12-19 18:37:18.000000,2023-12-19 18:37:18,17589.0,1.0,1050.0,217.0,3649.0,429.0,1111.0,2987.0,Unified and efficient Machine Learning.,248.0,26,True,2019-07-05 10:23:31.000,shogun_6.1.4,10.0,,conda-forge/shogun,shogun/shogun,,,,,,,,,1639.0,https://anaconda.org/conda-forge/shogun,2023-06-16 13:22:38.816,128829.0,https://hub.docker.com/r/shogun/shogun,2019-01-31 13:45:10.435327,1.0,1504.0,3.0,,,,,,,,,,shogun,,,,,,,,,,, +447,Alphalens,quantopian/alphalens,financial-data,,https://github.com/quantopian/alphalens,https://github.com/quantopian/alphalens,Apache-2.0,2016-06-03 21:49:15.000,2023-06-16 16:09:06.563000,2020-04-27 18:40:41,522.0,,1007.0,167.0,214.0,42.0,146.0,2968.0,Performance analysis of predictive (alpha) stock factors.,25.0,26,False,2020-04-30 15:42:52.000,0.4.0,10.0,alphalens,conda-forge/alphalens,,,,689.0,671.0,https://pypi.org/project/alphalens,2020-04-27 21:03:10.000,18.0,2358.0,2639.0,https://anaconda.org/conda-forge/alphalens,2023-06-16 16:09:06.563,20291.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +448,TF Ranking,tensorflow/ranking,recommender-systems,,https://github.com/tensorflow/ranking,https://github.com/tensorflow/ranking,Apache-2.0,2018-12-03 20:48:57.000,2023-09-26 21:01:12.000000,2023-09-26 21:01:10,548.0,,468.0,97.0,43.0,82.0,240.0,2702.0,Learning to Rank in TensorFlow.,33.0,26,True,2023-08-11 17:56:48.000,0.5.3,22.0,tensorflow_ranking,,,,['tensorflow'],13.0,,https://pypi.org/project/tensorflow_ranking,2023-08-11 17:56:48.000,13.0,88085.0,88085.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +449,knockknock,huggingface/knockknock,ml-experiments,,https://github.com/huggingface/knockknock,https://github.com/huggingface/knockknock,MIT,2019-03-20 13:08:55.000,2023-06-23 10:52:46.000000,2020-03-16 04:26:47,75.0,,218.0,65.0,42.0,17.0,23.0,2660.0,Knock Knock: Get notified when your training ends with only two additional lines of code.,20.0,26,False,2020-03-04 04:15:47.000,0.1.8,10.0,knockknock,conda-forge/knockknock,,,,883.0,878.0,https://pypi.org/project/knockknock,2020-03-16 14:30:23.000,5.0,62545.0,62819.0,https://anaconda.org/conda-forge/knockknock,2023-06-16 16:18:44.705,14275.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +450,Essentia,MTG/essentia,audio,,https://github.com/MTG/essentia,https://github.com/MTG/essentia,AGPL-3.0,2013-06-03 14:53:47.000,2024-02-01 13:07:51.000000,2024-01-09 13:23:57,3440.0,5.0,515.0,111.0,340.0,396.0,670.0,2618.0,"C++ library for audio and music analysis, description and synthesis, including Python bindings.",79.0,26,False,2015-03-31 16:33:30.000,2.0,20.0,essentia,,,,,583.0,563.0,https://pypi.org/project/essentia,2023-10-27 09:13:56.000,20.0,6769.0,6769.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +451,TabNet,dreamquark-ai/tabnet,pytorch-utils,,https://github.com/dreamquark-ai/tabnet,https://github.com/dreamquark-ai/tabnet,MIT,2019-10-17 11:17:32.000,2024-01-04 04:06:44.000000,2023-07-23 14:42:27,191.0,,452.0,38.0,238.0,52.0,278.0,2412.0,PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf.,21.0,26,True,2023-07-23 13:34:05.000,4.1.0,19.0,pytorch-tabnet,conda-forge/pytorch-tabnet,,,['pytorch'],11.0,,https://pypi.org/project/pytorch-tabnet,2023-07-23 13:26:57.000,11.0,35720.0,35955.0,https://anaconda.org/conda-forge/pytorch-tabnet,2023-12-20 04:10:30.919,6127.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +452,adapter-transformers,Adapter-Hub/adapter-transformers,others,,https://github.com/adapter-hub/adapters,https://github.com/adapter-hub/adapters,Apache-2.0,2020-04-21 16:21:43.000,2024-01-31 22:21:19.000000,2024-01-31 19:48:02,86.0,31.0,310.0,28.0,281.0,39.0,311.0,2289.0,A Unified Library for Parameter-Efficient and Modular Transfer Learning.,8.0,26,True,2024-01-09 21:16:07.000,0.1.1,19.0,adapter-transformers,,,,['huggingface'],26.0,19.0,https://pypi.org/project/adapter-transformers,2023-12-16 14:14:02.000,7.0,18807.0,18807.0,,,,,,,,3.0,,,,adapter-hub/adapters,,,,,,,,,,,,,,,,, +453,Alibi,SeldonIO/alibi,interpretability,,https://github.com/SeldonIO/alibi,https://github.com/SeldonIO/alibi,,2019-02-26 10:10:56.000,2024-02-01 00:18:07.000000,2024-01-22 16:33:06,651.0,4.0,241.0,47.0,639.0,136.0,224.0,2262.0,Algorithms for explaining machine learning models.,19.0,26,False,2024-01-22 16:23:03.000,0.9.5,32.0,alibi,,,,,554.0,554.0,https://pypi.org/project/alibi,,,24764.0,24764.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +454,Norfair,tryolabs/norfair,image,,https://github.com/tryolabs/norfair,https://github.com/tryolabs/norfair,BSD-3-Clause,2020-07-01 20:15:44.000,2024-01-30 18:09:07.000000,2024-01-30 18:07:43,695.0,34.0,227.0,39.0,140.0,6.0,132.0,2233.0,Lightweight Python library for adding real-time multi-object tracking to any detector.,31.0,26,True,2023-01-04 21:42:02.301,2.2.0,19.0,norfair,,,,,159.0,156.0,https://pypi.org/project/norfair,2022-05-30 21:14:58.000,3.0,5614.0,5621.0,,,,,,,,3.0,296.0,,,,,,,,,,,,,,,,,,,, +455,polyglot,aboSamoor/polyglot,nlp,,https://github.com/aboSamoor/polyglot,https://github.com/aboSamoor/polyglot,GPL-3.0,2014-06-30 02:07:45.000,2023-11-10 03:06:08.000000,2020-09-22 22:35:28,271.0,,328.0,79.0,55.0,161.0,68.0,2230.0,Multilingual text (NLP) processing toolkit.,26.0,26,False,2021-12-15 16:11:38.716,15.5.1,9.0,polyglot,,,,,1260.0,1166.0,https://pypi.org/project/polyglot,2021-12-15 16:11:38.716,94.0,55692.0,55692.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +456,Neural Tangents,google/neural-tangents,ml-frameworks,,https://github.com/google/neural-tangents,https://github.com/google/neural-tangents,Apache-2.0,2019-04-08 16:48:48.000,2023-12-11 14:10:11.000000,2023-12-11 01:57:13,644.0,9.0,236.0,66.0,31.0,60.0,92.0,2178.0,Fast and Easy Infinite Neural Networks in Python.,29.0,26,True,2023-12-11 14:10:12.000,0.6.5,31.0,neural-tangents,,,,,92.0,91.0,https://pypi.org/project/neural-tangents,2023-12-11 14:00:20.000,1.0,1741.0,1749.0,,,,,,,,3.0,355.0,,,,,,,,,,,,,,,,,,,, +457,modAL,modAL-python/modAL,others,,https://github.com/modAL-python/modAL,https://github.com/modAL-python/modAL,MIT,2017-11-14 14:01:15.000,2024-01-31 22:27:17.000000,2023-06-01 12:18:23,739.0,,358.0,43.0,43.0,96.0,56.0,2096.0,A modular active learning framework for Python.,20.0,26,True,2024-01-31 22:27:17.000,0.56.4881,546.0,modAL,,,,['sklearn'],11.0,,https://pypi.org/project/modAL,2024-01-31 22:27:17.000,11.0,226248.0,226248.0,,,,,,,,3.0,29.0,,,,,,,,,,,,,,,,,,,, +458,mtcnn,ipazc/mtcnn,image,,https://github.com/ipazc/mtcnn,https://github.com/ipazc/mtcnn,MIT,2018-01-05 04:08:32.000,2023-09-09 21:39:29.000000,2021-07-09 11:06:18,56.0,,491.0,41.0,24.0,66.0,38.0,2086.0,"MTCNN face detection implementation for TensorFlow, as a PIP package.",15.0,26,False,2021-07-09 11:16:39.000,0.1.1,11.0,mtcnn,conda-forge/mtcnn,,,['tensorflow'],4648.0,4597.0,https://pypi.org/project/mtcnn,2021-07-09 11:16:39.000,51.0,45086.0,45316.0,https://anaconda.org/conda-forge/mtcnn,2023-06-16 19:18:00.316,11069.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +459,PyTextRank,DerwenAI/pytextrank,nlp,,https://github.com/DerwenAI/pytextrank,https://github.com/DerwenAI/pytextrank,MIT,2016-10-02 18:39:12.000,2023-12-06 14:39:14.000000,2023-08-22 16:20:29,468.0,,312.0,63.0,151.0,8.0,91.0,2078.0,Python implementation of TextRank algorithms (textgraphs) for phrase extraction.,19.0,26,True,2023-08-07 19:46:52.000,3.2.5,21.0,pytextrank,,,,,565.0,565.0,https://pypi.org/project/pytextrank,,,41648.0,41648.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +460,checklist,marcotcr/checklist,interpretability,,https://github.com/marcotcr/checklist,https://github.com/marcotcr/checklist,MIT,2020-03-09 17:18:49.000,2024-01-09 01:46:07.000000,2023-09-26 17:27:56,255.0,,198.0,29.0,65.0,35.0,83.0,1968.0,Beyond Accuracy: Behavioral Testing of NLP models with CheckList.,15.0,26,True,2021-05-24 16:45:59.000,0.0.11,10.0,checklist,conda-forge/checklist,,,['jupyter'],311.0,304.0,https://pypi.org/project/checklist,2021-05-24 16:45:59.000,7.0,11807.0,11990.0,https://anaconda.org/conda-forge/checklist,2023-06-16 19:24:18.549,6786.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +461,TensorFlow Privacy,tensorflow/privacy,privacy-ml,,https://github.com/tensorflow/privacy,https://github.com/tensorflow/privacy,Apache-2.0,2018-12-21 18:46:46.000,2023-12-14 21:45:46.000000,2023-12-14 21:45:38,856.0,9.0,432.0,62.0,319.0,113.0,92.0,1846.0,Library for training machine learning models with privacy for training data.,58.0,26,True,2023-10-11 15:51:39.000,0.8.12,30.0,tensorflow-privacy,,,,['tensorflow'],14.0,,https://pypi.org/project/tensorflow-privacy,2023-10-11 15:51:39.000,14.0,15829.0,15831.0,,,,,,,,3.0,136.0,,,,,,,,,,,,,,,,,,,, +462,Orbit,uber/orbit,probabilistics,,https://github.com/uber/orbit,https://github.com/uber/orbit,Apache-2.0,2020-01-07 18:20:37.000,2024-01-24 05:58:43.000000,2024-01-22 21:33:57,892.0,19.0,130.0,33.0,422.0,54.0,343.0,1778.0,A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.,19.0,26,True,2024-01-24 05:49:37.000,1.1.4.3,24.0,orbit-ml,,,,,46.0,45.0,https://pypi.org/project/orbit-ml,2023-01-29 22:06:26.764,1.0,34809.0,34809.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +463,uber/orbit,uber/orbit,time-series-data,,https://github.com/uber/orbit,https://github.com/uber/orbit,Apache-2.0,2020-01-07 18:20:37.000,2024-01-24 05:58:43.000000,2024-01-22 21:33:57,892.0,19.0,130.0,33.0,422.0,54.0,343.0,1778.0,A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.,19.0,26,True,2024-01-24 05:49:37.000,1.1.4.3,24.0,orbit-ml,conda-forge/orbit-ml,,,,46.0,45.0,https://pypi.org/project/orbit-ml,2023-01-29 22:06:26.764,1.0,34809.0,35004.0,https://anaconda.org/conda-forge/orbit-ml,2023-12-19 05:59:30.209,4884.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +464,petastorm,uber/petastorm,distributed-ml,,https://github.com/uber/petastorm,https://github.com/uber/petastorm,Apache-2.0,2018-06-15 23:15:29.000,2023-12-02 05:11:31.000000,2023-12-02 05:11:31,691.0,1.0,275.0,41.0,495.0,172.0,151.0,1716.0,Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets..,50.0,26,True,2022-12-16 20:54:02.878,0.12.1,86.0,petastorm,,,,,153.0,145.0,https://pypi.org/project/petastorm,2023-02-03 00:33:00.499,8.0,30020.0,30026.0,,,,,,,,3.0,433.0,,,,,,,,,,,,,,,,,,,, +465,pyts,johannfaouzi/pyts,time-series-data,,https://github.com/johannfaouzi/pyts,https://github.com/johannfaouzi/pyts,BSD-3-Clause,2017-07-31 09:23:16.000,2023-09-11 22:28:27.000000,2023-06-20 13:16:50,391.0,,156.0,25.0,81.0,42.0,34.0,1653.0,A Python package for time series classification.,14.0,26,True,2023-06-18 12:36:11.801,0.13.0,19.0,pyts,conda-forge/pyts,,,,555.0,536.0,https://pypi.org/project/pyts,2021-10-31 13:51:09.000,19.0,108487.0,109281.0,https://anaconda.org/conda-forge/pyts,2023-06-18 16:28:23.633,22256.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +466,TNT,pytorch/tnt,ml-experiments,,https://github.com/pytorch/tnt,https://github.com/pytorch/tnt,BSD-3-Clause,2016-12-10 11:49:58.000,2024-01-31 23:19:38.000000,2024-01-27 00:04:04,804.0,78.0,252.0,47.0,630.0,36.0,63.0,1598.0,A lightweight library for PyTorch training tools and utilities.,110.0,26,True,2018-07-29 23:16:03.000,0.0.4,3.0,torchnet,,,,['pytorch'],38.0,,https://pypi.org/project/torchnet,2018-07-29 23:16:03.000,38.0,6573.0,6573.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +467,Paddle Graph Learning,PaddlePaddle/PGL,graph,,https://github.com/PaddlePaddle/PGL,https://github.com/PaddlePaddle/PGL,Apache-2.0,2019-06-11 03:23:28.000,2023-12-11 05:15:14.000000,2023-09-26 07:34:28,1378.0,,304.0,27.0,379.0,38.0,155.0,1553.0,Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle.,31.0,26,True,2023-05-18 06:27:52.000,2.2.5,10.0,pgl,,,,['paddle'],50.0,50.0,https://pypi.org/project/pgl,,,717.0,717.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +468,torch-scatter,rusty1s/pytorch_scatter,pytorch-utils,,https://github.com/rusty1s/pytorch_scatter,https://github.com/rusty1s/pytorch_scatter,MIT,2017-12-16 16:34:23.000,2024-01-23 08:51:18.000000,2024-01-23 08:51:18,1030.0,1.0,168.0,18.0,63.0,29.0,325.0,1419.0,PyTorch Extension Library of Optimized Scatter Operations.,29.0,26,True,2023-10-06 08:49:07.000,2.1.2,32.0,torch-scatter,conda-forge/pytorch_scatter,,,['pytorch'],84.0,,https://pypi.org/project/torch-scatter,2023-10-06 08:49:07.000,84.0,34613.0,40066.0,https://anaconda.org/conda-forge/pytorch_scatter,2024-01-12 22:30:52.418,239951.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +469,pycm,sepandhaghighi/pycm,others,,https://github.com/sepandhaghighi/pycm,https://github.com/sepandhaghighi/pycm,MIT,2018-01-22 19:46:54.000,2024-01-23 06:17:32.000000,2023-06-07 07:35:59,3033.0,,119.0,37.0,335.0,11.0,187.0,1415.0,Multi-class confusion matrix library in Python.,17.0,26,True,2023-06-07 14:06:28.000,4.0,44.0,pycm,,,,,289.0,271.0,https://pypi.org/project/pycm,2023-06-07 14:08:01.991,18.0,50252.0,50252.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +470,openTSNE,pavlin-policar/openTSNE,data-viz,,https://github.com/pavlin-policar/openTSNE,https://github.com/pavlin-policar/openTSNE,BSD-3-Clause,2018-06-08 18:42:09.000,2023-11-29 23:41:32.898000,2023-11-29 13:48:39,684.0,4.0,157.0,24.0,124.0,2.0,128.0,1326.0,"Extensible, parallel implementations of t-SNE.",11.0,26,True,2023-11-29 14:50:50.000,1.0.1,27.0,opentsne,conda-forge/opentsne,,,,742.0,724.0,https://pypi.org/project/opentsne,2023-11-29 14:45:37.000,18.0,31427.0,36993.0,https://anaconda.org/conda-forge/opentsne,2023-11-29 23:41:32.898,233799.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +471,imodels,csinva/imodels,interpretability,,https://github.com/csinva/imodels,https://github.com/csinva/imodels,MIT,2019-07-04 15:38:48.000,2024-01-12 01:05:40.000000,2023-12-30 17:46:40,1015.0,6.0,107.0,25.0,114.0,30.0,52.0,1248.0,"Interpretable ML package for concise, transparent, and accurate predictive modeling (sklearn-compatible).",22.0,26,True,2023-10-05 02:21:28.000,1.4.1,33.0,imodels,,,,,61.0,61.0,https://pypi.org/project/imodels,,,26940.0,26940.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +472,fancyimpute,iskandr/fancyimpute,sklearn-utils,,https://github.com/iskandr/fancyimpute,https://github.com/iskandr/fancyimpute,Apache-2.0,2015-11-05 23:39:34.000,2023-10-25 17:26:07.000000,2021-10-21 17:45:17,202.0,,172.0,26.0,36.0,1.0,116.0,1218.0,Multivariate imputation and matrix completion algorithms implemented in Python.,12.0,26,False,2021-10-21 17:50:40.000,0.7.0,29.0,fancyimpute,,,,['sklearn'],1551.0,1518.0,https://pypi.org/project/fancyimpute,2021-10-21 17:50:40.000,33.0,22165.0,22165.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +473,Streamz,python-streamz/streamz,time-series-data,,https://github.com/python-streamz/streamz,https://github.com/python-streamz/streamz,BSD-3-Clause,2017-04-04 21:45:49.000,2023-06-16 13:22:22.238000,2022-12-22 14:52:10,805.0,,143.0,35.0,214.0,109.0,152.0,1208.0,Real-time stream processing for python.,48.0,26,False,2022-07-27 18:09:03.803,0.6.4,17.0,streamz,conda-forge/streamz,,,,487.0,446.0,https://pypi.org/project/streamz,2022-07-27 18:09:03.803,41.0,14791.0,24780.0,https://anaconda.org/conda-forge/streamz,2023-06-16 13:22:22.238,769204.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +474,Madmom,CPJKU/madmom,audio,,https://github.com/CPJKU/madmom,https://github.com/CPJKU/madmom,BSD-3-Clause,2015-09-08 08:19:06.000,2023-11-28 23:16:10.000000,2023-09-10 06:51:22,1752.0,,191.0,42.0,257.0,66.0,212.0,1208.0,Python audio and music signal processing library.,20.0,26,True,2018-11-14 14:57:41.000,0.16.1,11.0,madmom,,,,,427.0,394.0,https://pypi.org/project/madmom,2018-11-14 14:56:22.000,33.0,2602.0,2602.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +475,iNNvestigate,albermax/innvestigate,interpretability,,https://github.com/albermax/innvestigate,https://github.com/albermax/innvestigate,BSD-2-Clause,2017-12-13 18:11:20.000,2023-12-20 21:48:32.000000,2023-10-12 14:56:47,1107.0,,238.0,36.0,68.0,54.0,206.0,1203.0,A toolbox to iNNvestigate neural networks predictions!.,20.0,26,True,2023-10-12 14:58:48.000,2.1.2,8.0,innvestigate,,,,['tensorflow'],118.0,116.0,https://pypi.org/project/innvestigate,2023-10-12 14:55:59.000,2.0,789.0,794.0,,,,,,,,2.0,91.0,,,,,,,,,,,,,,,,,,,, +476,metricflow,transform-data/metricflow,others,,https://github.com/dbt-labs/metricflow,https://github.com/dbt-labs/metricflow,,2022-04-04 18:33:06.000,2024-02-01 00:01:07.000000,2024-01-31 00:27:05,2047.0,227.0,83.0,18.0,752.0,74.0,185.0,1029.0,"MetricFlow allows you to define, build, and maintain metrics in code.",43.0,26,False,2024-01-13 02:11:53.000,0.204.0,14.0,metricflow,,,,,13.0,13.0,https://pypi.org/project/metricflow,,,29090.0,29090.0,,,,,,,,3.0,,,,dbt-labs/metricflow,,,,,,,,,,,,,,,,, +477,pythreejs,jupyter-widgets/pythreejs,data-viz,,https://github.com/jupyter-widgets/pythreejs,https://github.com/jupyter-widgets/pythreejs,BSD-3-Clause,2013-12-23 17:02:11.000,2023-06-16 13:16:30.947000,2023-02-20 00:24:10,1723.0,,185.0,40.0,173.0,61.0,174.0,915.0,A Jupyter - Three.js bridge.,30.0,26,True,2023-02-20 00:24:01.104,2.4.2,46.0,pythreejs,conda-forge/pythreejs,,,['jupyter'],99.0,29.0,https://pypi.org/project/pythreejs,2023-02-20 00:24:01.104,58.0,48552.0,57604.0,https://anaconda.org/conda-forge/pythreejs,2023-06-16 13:16:30.947,520644.0,,,,,3.0,,,,,jupyter-threejs,https://www.npmjs.com/package/jupyter-threejs,2023-02-20 00:16:17.277,12.0,3454.0,,,,,,,,,,,, +478,Plotly-Resampler,predict-idlab/plotly-resampler,data-viz,,https://github.com/predict-idlab/plotly-resampler,https://github.com/predict-idlab/plotly-resampler,MIT,2021-11-20 10:51:56.000,2024-02-01 11:51:13.000000,2024-01-14 18:36:42,769.0,10.0,56.0,12.0,125.0,43.0,109.0,894.0,Visualize large time series data with plotly.py.,11.0,26,True,2024-01-14 18:45:33.000,0.9.2,61.0,plotly-resampler,conda-forge/plotly-resampler,,,,829.0,818.0,https://pypi.org/project/plotly-resampler,2024-01-14 18:35:43.000,11.0,416880.0,418232.0,https://anaconda.org/conda-forge/plotly-resampler,2024-01-23 20:24:24.113,33820.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +479,pyRiemann,pyRiemann/pyRiemann,ml-frameworks,,https://github.com/pyRiemann/pyRiemann,https://github.com/pyRiemann/pyRiemann,BSD-3-Clause,2015-04-19 16:01:44.000,2024-01-31 17:11:14.000000,2024-01-31 17:11:14,564.0,14.0,152.0,31.0,177.0,8.0,98.0,555.0,Machine learning for multivariate data analysis through the Riemannian geometry of symmetric or Hermitian positive..,30.0,26,True,2023-06-20 08:57:52.000,0.5,11.0,pyriemann,conda-forge/pyriemann,,https://pyriemann.readthedocs.io/en/latest/,['sklearn'],323.0,303.0,https://pypi.org/project/pyriemann,2022-07-17 13:53:18.565,20.0,18090.0,18338.0,https://anaconda.org/conda-forge/pyriemann,2023-06-20 10:39:38.006,4976.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +480,EarthPy,earthlab/earthpy,geospatial-data,,https://github.com/earthlab/earthpy,https://github.com/earthlab/earthpy,BSD-3-Clause,2018-02-20 03:02:42.000,2024-01-28 05:55:11.000000,2023-08-23 17:20:54,1241.0,,152.0,20.0,696.0,25.0,208.0,472.0,A package built to support working with spatial data using open source python.,44.0,26,True,2021-10-01 22:51:04.000,0.9.4,23.0,earthpy,conda-forge/earthpy,,,,299.0,282.0,https://pypi.org/project/earthpy,2021-10-01 22:51:04.000,17.0,4699.0,5931.0,https://anaconda.org/conda-forge/earthpy,2023-06-16 16:14:50.280,71509.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +481,NIPY,nipy/nipy,medical-data,,https://github.com/nipy/nipy,https://github.com/nipy/nipy,,2010-05-02 10:00:33.000,2023-12-26 16:13:16.000000,2023-12-26 16:13:16,6706.0,58.0,143.0,36.0,394.0,37.0,134.0,365.0,Neuroimaging in Python FMRI analysis package.,69.0,26,False,2023-12-21 16:45:52.000,0.6.0,8.0,nipy,conda-forge/nipy,,,,272.0,221.0,https://pypi.org/project/nipy,2023-12-21 16:45:52.000,51.0,1355.0,2699.0,https://anaconda.org/conda-forge/nipy,2023-06-16 13:21:17.395,106199.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +482,Trax,google/trax,others,,https://github.com/google/trax,https://github.com/google/trax,Apache-2.0,2019-10-05 15:09:14.000,2024-02-01 02:29:47.000000,2024-02-01 02:29:37,1618.0,2.0,808.0,148.0,1563.0,114.0,125.0,7870.0,Trax Deep Learning with Clear Code and Speed.,79.0,25,True,2021-10-26 20:29:38.000,1.4.1,24.0,trax,,,,,137.0,136.0,https://pypi.org/project/trax,2021-10-26 20:29:00.538,1.0,2934.0,2934.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +483,mmdnn,Microsoft/MMdnn,model-serialisation,,https://github.com/microsoft/MMdnn,https://github.com/microsoft/MMdnn,MIT,2017-08-16 08:03:52.000,2023-10-03 15:31:03.000000,2022-09-22 23:59:07,1084.0,,979.0,182.0,327.0,334.0,292.0,5769.0,MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion..,86.0,25,False,2020-07-24 06:34:39.000,0.3.1,12.0,mmdnn,,,,,122.0,119.0,https://pypi.org/project/mmdnn,2020-07-24 06:34:39.000,3.0,446.0,495.0,,,,,,,,2.0,3718.0,,,,,,,,,,,,,,,,,,,, +484,Image Deduplicator,idealo/imagededup,image,,https://github.com/idealo/imagededup,https://github.com/idealo/imagededup,Apache-2.0,2019-04-05 12:10:54.000,2023-12-19 09:38:24.000000,2023-04-28 16:55:30,521.0,,431.0,60.0,90.0,31.0,88.0,4857.0,Finding duplicate images made easy!.,15.0,25,True,2023-04-28 17:26:08.000,0.3.2,8.0,imagededup,,,,['tensorflow'],83.0,83.0,https://pypi.org/project/imagededup,,,14873.0,14873.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +485,DALI,NVIDIA/DALI,gpu-utilities,,https://github.com/NVIDIA/DALI,https://github.com/NVIDIA/DALI,Apache-2.0,2018-06-01 22:18:01.000,2024-02-01 10:26:38.000000,2024-01-31 16:56:35,3426.0,116.0,604.0,94.0,3774.0,207.0,1348.0,4778.0,A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to..,88.0,25,True,2024-01-30 17:28:04.000,1.34.0,74.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +486,Lucid,tensorflow/lucid,interpretability,,https://github.com/tensorflow/lucid,https://github.com/tensorflow/lucid,Apache-2.0,2018-01-25 17:41:44.000,2023-02-06 16:41:16.000000,2021-03-19 15:48:33,667.0,,658.0,159.0,130.0,83.0,101.0,4598.0,A collection of infrastructure and tools for research in neural network interpretability.,40.0,25,False,2021-03-19 16:01:00.000,0.3.10,17.0,lucid,,,,['tensorflow'],762.0,756.0,https://pypi.org/project/lucid,2021-03-19 16:01:00.000,6.0,538.0,538.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +487,segmentation_models,qubvel/segmentation_models,image,,https://github.com/qubvel/segmentation_models,https://github.com/qubvel/segmentation_models,MIT,2018-06-05 13:27:56.000,2024-01-13 08:14:49.000000,2022-07-29 10:37:24,205.0,,995.0,93.0,63.0,251.0,269.0,4536.0,Segmentation models with pretrained backbones. Keras and TensorFlow Keras.,14.0,25,False,2020-01-10 11:36:02.000,1.0.1,8.0,segmentation_models,,,,['tensorflow'],28.0,,https://pypi.org/project/segmentation_models,2020-01-10 11:36:02.000,28.0,16852.0,16852.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +488,PyTorch-BigGraph,facebookresearch/PyTorch-BigGraph,graph,,https://github.com/facebookresearch/PyTorch-BigGraph,https://github.com/facebookresearch/PyTorch-BigGraph,BSD-3-Clause,2018-10-01 20:41:16.000,2024-01-06 08:42:15.000000,2024-01-06 08:37:53,173.0,4.0,445.0,91.0,78.0,65.0,137.0,3337.0,Generate embeddings from large-scale graph-structured data.,31.0,25,True,2019-10-14 16:45:11.000,1.0.0,4.0,torchbiggraph,,,,['pytorch'],3.0,,https://pypi.org/project/torchbiggraph,2019-10-14 16:44:41.000,3.0,285904.0,285906.0,,,,,,,,2.0,170.0,,,,,,,,,,,,,,,,,,,, +489,pytorchvideo,facebookresearch/pytorchvideo,image,,https://github.com/facebookresearch/pytorchvideo,https://github.com/facebookresearch/pytorchvideo,Apache-2.0,2021-03-09 20:39:13.000,2024-01-23 06:02:21.000000,2023-10-30 16:34:46,179.0,,369.0,163.0,84.0,74.0,100.0,3094.0,A deep learning library for video understanding research.,55.0,25,True,2021-09-10 17:02:20.000,0.1.3,2.0,pytorchvideo,,,,['pytorch'],,,https://pypi.org/project/pytorchvideo,,,95917.0,95917.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +490,Towhee,towhee-io/towhee,ml-frameworks,,https://github.com/towhee-io/towhee,https://github.com/towhee-io/towhee,Apache-2.0,2021-07-13 08:28:50.000,2024-01-20 00:01:11.000000,2024-01-20 00:01:11,1576.0,8.0,239.0,41.0,2015.0,5.0,646.0,2911.0,Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.,35.0,25,True,2023-12-05 02:33:36.000,1.1.3,16.0,towhee,,,,,,,https://pypi.org/project/towhee,,,3762.0,3862.0,,,,,,,,3.0,2622.0,,,,,,,,,,,,,,,,,,,, +491,neuralcoref,huggingface/neuralcoref,nlp,,https://github.com/huggingface/neuralcoref,https://github.com/huggingface/neuralcoref,MIT,2017-07-03 13:04:16.000,2023-06-16 19:17:56.088000,2021-06-22 10:51:48,116.0,,469.0,98.0,49.0,59.0,253.0,2782.0,Fast Coreference Resolution in spaCy with Neural Networks.,21.0,25,False,2019-04-08 11:28:27.000,4.0.0,5.0,neuralcoref,conda-forge/neuralcoref,,,,703.0,679.0,https://pypi.org/project/neuralcoref,2019-04-08 09:56:00.000,24.0,2546.0,2869.0,https://anaconda.org/conda-forge/neuralcoref,2023-06-16 19:17:56.088,14990.0,,,,,3.0,893.0,,,,,,,,,,,,,,,,,,,, +492,m2cgen,BayesWitnesses/m2cgen,model-serialisation,,https://github.com/BayesWitnesses/m2cgen,https://github.com/BayesWitnesses/m2cgen,MIT,2019-01-13 02:32:55.000,2023-11-01 10:12:46.000000,2022-10-05 16:26:03,376.0,,216.0,48.0,481.0,45.0,70.0,2680.0,"Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart,..",14.0,25,False,2022-04-26 01:24:34.000,0.10.0,13.0,m2cgen,,,,,203.0,200.0,https://pypi.org/project/m2cgen,2022-04-26 01:24:34.000,3.0,16537.0,16538.0,,,,,,,,2.0,62.0,,,,,,,,,,,,,,,,,,,, +493,Mars,mars-project/mars,others,,https://github.com/mars-project/mars,https://github.com/mars-project/mars,Apache-2.0,2018-12-05 16:04:03.000,2024-01-02 10:00:14.000000,2023-11-02 03:13:52,1297.0,,315.0,93.0,2157.0,206.0,982.0,2668.0,"Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and..",52.0,25,True,2023-02-03 19:04:11.785,0.8.1,118.0,pymars,,,,,1.0,,https://pypi.org/project/pymars,2022-06-12 11:43:21.000,1.0,12386.0,12386.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +494,HiPlot,facebookresearch/hiplot,data-viz,,https://github.com/facebookresearch/hiplot,https://github.com/facebookresearch/hiplot,MIT,2019-11-08 13:06:41.000,2024-01-10 07:43:27.000000,2023-07-19 07:40:10,212.0,,135.0,29.0,200.0,18.0,73.0,2646.0,HiPlot makes understanding high dimensional data easy.,9.0,25,True,2022-05-31 09:00:35.000,0.1.33,113.0,hiplot,conda-forge/hiplot,,,,388.0,373.0,https://pypi.org/project/hiplot,2022-07-05 08:51:12.000,15.0,28383.0,32010.0,https://anaconda.org/conda-forge/hiplot,2023-06-16 19:18:10.488,174124.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +495,lazypredict,shankarpandala/lazypredict,hyperopt,,https://github.com/shankarpandala/lazypredict,https://github.com/shankarpandala/lazypredict,MIT,2019-11-16 09:56:35.000,2023-11-17 18:46:16.000000,2022-09-28 17:12:28,249.0,,278.0,30.0,316.0,76.0,37.0,2462.0,Lazy Predict help build a lot of basic models without much code and helps understand which models works better without..,17.0,25,False,2022-09-28 08:51:19.531,0.2.12,12.0,lazypredict,conda-forge/lazypredict,,,['sklearn'],799.0,798.0,https://pypi.org/project/lazypredict,2022-09-28 08:51:19.531,1.0,17336.0,17427.0,https://anaconda.org/conda-forge/lazypredict,2023-06-16 19:27:14.287,2743.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +496,Enigma Catalyst,scrtlabs/catalyst,financial-data,,https://github.com/scrtlabs/catalyst,https://github.com/scrtlabs/catalyst,Apache-2.0,2017-06-13 22:31:34.000,2022-11-26 14:07:55.000000,2021-09-22 15:31:55,6364.0,,709.0,167.0,94.0,134.0,358.0,2454.0,An Algorithmic Trading Library for Crypto-Assets in Python.,151.0,25,False,2018-11-11 16:46:28.000,0.5.21,52.0,enigma-catalyst,,,,,27.0,25.0,https://pypi.org/project/enigma-catalyst,2018-11-11 16:46:28.000,2.0,111.0,111.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +497,pytorch_geometric_temporal,benedekrozemberczki/pytorch_geometric_temporal,graph,,https://github.com/benedekrozemberczki/pytorch_geometric_temporal,https://github.com/benedekrozemberczki/pytorch_geometric_temporal,MIT,2020-06-27 01:11:33.000,2024-01-22 06:09:24.000000,2023-07-01 21:40:58,1936.0,,331.0,40.0,86.0,28.0,157.0,2387.0,PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021).,28.0,25,True,2022-09-04 16:37:07.000,0.54.0,46.0,torch-geometric-temporal,,,,['pytorch'],3.0,,https://pypi.org/project/torch-geometric-temporal,2022-09-04 16:10:00.738,3.0,1802.0,1802.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +498,scattertext,JasonKessler/scattertext,nlp,,https://github.com/JasonKessler/scattertext,https://github.com/JasonKessler/scattertext,Apache-2.0,2016-07-21 01:47:12.000,2023-09-05 06:09:07.000000,2023-09-05 06:09:05,385.0,,280.0,56.0,14.0,21.0,78.0,2183.0,Beautiful visualizations of how language differs among document types.,14.0,25,True,2023-04-18 01:25:02.819,0.1.19,148.0,scattertext,conda-forge/scattertext,,,,499.0,489.0,https://pypi.org/project/scattertext,2023-04-18 01:25:02.819,10.0,13132.0,14234.0,https://anaconda.org/conda-forge/scattertext,2023-06-16 13:23:09.869,86002.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +499,CausalNex,quantumblacklabs/causalnex,interpretability,,https://github.com/mckinsey/causalnex,https://github.com/mckinsey/causalnex,Apache-2.0,2019-12-12 15:26:09.000,2024-01-21 19:22:34.000000,2023-07-11 07:11:36,210.0,,236.0,46.0,89.0,18.0,115.0,2083.0,A Python library that helps data scientists to infer causation rather than observing correlation.,35.0,25,True,2023-06-22 13:11:59.629,0.12.1,20.0,causalnex,,,,"['pytorch', 'sklearn']",110.0,107.0,https://pypi.org/project/causalnex,2023-06-22 13:11:59.629,3.0,2487.0,2487.0,,,,,,,,3.0,,,,mckinsey/causalnex,,,,,,,,,,,,,,,,, +500,AmpliGraph,Accenture/AmpliGraph,graph,,https://github.com/Accenture/AmpliGraph,https://github.com/Accenture/AmpliGraph,Apache-2.0,2019-01-09 14:52:05.000,2024-01-25 19:00:06.000000,2023-07-12 18:14:01,1515.0,,242.0,67.0,59.0,31.0,186.0,2048.0,Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org.,20.0,25,True,2023-07-12 18:26:08.000,2.0.1,14.0,ampligraph,,,,['tensorflow'],49.0,49.0,https://pypi.org/project/ampligraph,2023-07-12 18:13:00.637,,638.0,638.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +501,HyperTools,ContextLab/hypertools,data-viz,,https://github.com/ContextLab/hypertools,https://github.com/ContextLab/hypertools,MIT,2016-09-27 21:31:25.000,2023-08-06 22:24:12.000000,2022-02-12 02:32:06,1636.0,,160.0,61.0,66.0,65.0,129.0,1795.0,A Python toolbox for gaining geometric insights into high-dimensional data.,21.0,25,False,2022-02-12 03:29:55.000,0.8.0,21.0,hypertools,,,,,369.0,359.0,https://pypi.org/project/hypertools,2022-02-12 02:43:24.000,10.0,443.0,443.0,,,,,,,,3.0,30.0,,,,,,,,,,,,,,,,,,,, +502,garage,rlworkgroup/garage,reinforcement-learning,,https://github.com/rlworkgroup/garage,https://github.com/rlworkgroup/garage,MIT,2018-06-10 21:31:23.000,2023-05-04 14:44:22.000000,2023-01-04 06:06:27,1221.0,,299.0,57.0,1313.0,233.0,810.0,1784.0,A toolkit for reproducible reinforcement learning research.,79.0,25,False,2021-03-23 22:18:36.000,2021.3.0,21.0,garage,,,,['tensorflow'],100.0,98.0,https://pypi.org/project/garage,2021-03-23 22:18:36.000,2.0,573.0,573.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +503,gplearn,trevorstephens/gplearn,others,,https://github.com/trevorstephens/gplearn,https://github.com/trevorstephens/gplearn,BSD-3-Clause,2015-03-26 01:01:14.000,2023-11-29 15:04:03.000000,2023-08-12 06:34:27,161.0,,265.0,50.0,87.0,22.0,188.0,1482.0,"Genetic Programming in Python, with a scikit-learn inspired API.",10.0,25,True,2022-05-03 10:56:08.000,0.4.2,2.0,gplearn,conda-forge/gplearn,,,['sklearn'],496.0,496.0,https://pypi.org/project/gplearn,,,6055.0,6202.0,https://anaconda.org/conda-forge/gplearn,2023-06-16 19:20:25.471,6490.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +504,DALEX,ModelOriented/DALEX,interpretability,,https://github.com/ModelOriented/DALEX,https://github.com/ModelOriented/DALEX,GPL-3.0,2018-02-18 03:24:12.000,2023-09-27 15:14:50.000000,2023-09-27 15:14:33,667.0,,160.0,47.0,161.0,19.0,378.0,1299.0,moDel Agnostic Language for Exploration and eXplanation.,24.0,25,False,2023-02-16 21:26:00.740,1.6.0,26.0,dalex,conda-forge/dalex,,,,156.0,151.0,https://pypi.org/project/dalex,2022-09-07 14:45:39.364,5.0,18872.0,19184.0,https://anaconda.org/conda-forge/dalex,2023-06-16 19:24:13.607,11571.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +505,livelossplot,stared/livelossplot,ml-experiments,,https://github.com/stared/livelossplot,https://github.com/stared/livelossplot,MIT,2018-03-10 17:51:43.000,2022-07-15 12:45:07.000000,2022-04-04 16:13:36,330.0,,141.0,29.0,63.0,7.0,70.0,1272.0,"Live training loss plot in Jupyter Notebook for Keras, PyTorch and others.",17.0,25,False,2022-04-04 16:14:08.000,0.5.5,25.0,livelossplot,,,,['jupyter'],1345.0,1332.0,https://pypi.org/project/livelossplot,2022-04-04 16:14:08.000,13.0,11667.0,11667.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +506,RLax,deepmind/rlax,reinforcement-learning,,https://github.com/google-deepmind/rlax,https://github.com/google-deepmind/rlax,Apache-2.0,2020-02-18 07:14:59.000,2023-11-24 11:08:54.000000,2023-11-24 11:08:47,208.0,1.0,83.0,34.0,109.0,7.0,18.0,1148.0,A library of reinforcement learning building blocks in JAX.,21.0,25,True,2023-06-29 15:05:00.621,0.1.6,10.0,rlax,,,,['jax'],211.0,200.0,https://pypi.org/project/rlax,2023-01-09 22:29:35.947,11.0,1363552.0,1363552.0,,,,,,,,3.0,,,,google-deepmind/rlax,,,,,,,,,,,,,,,,, +507,Submit it,facebookincubator/submitit,distributed-ml,,https://github.com/facebookincubator/submitit,https://github.com/facebookincubator/submitit,MIT,2020-04-24 07:41:09.000,2023-11-24 07:58:55.401000,2023-11-09 17:20:43,139.0,2.0,108.0,22.0,103.0,35.0,73.0,1035.0,Python 3.8+ toolbox for submitting jobs to Slurm.,23.0,25,True,2023-11-09 17:23:02.000,1.5.1,23.0,submitit,conda-forge/submitit,,,,2099.0,2079.0,https://pypi.org/project/submitit,2023-11-09 17:23:02.000,20.0,309192.0,309992.0,https://anaconda.org/conda-forge/submitit,2023-11-24 07:58:55.401,33620.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +508,hls4ml,fastmachinelearning/hls4ml,model-serialisation,,https://github.com/fastmachinelearning/hls4ml,https://github.com/fastmachinelearning/hls4ml,Apache-2.0,2017-10-25 21:43:56.000,2024-01-31 23:27:03.000000,2024-01-29 19:16:44,1880.0,78.0,364.0,55.0,476.0,156.0,250.0,1014.0,Machine learning on FPGAs using HLS.,58.0,25,True,2023-12-19 21:00:58.000,0.8.1,16.0,hls4ml,conda-forge/hls4ml,,,"['tensorflow', 'pytorch']",,,https://pypi.org/project/hls4ml,2023-12-19 21:00:58.000,,783.0,958.0,https://anaconda.org/conda-forge/hls4ml,2023-06-16 19:22:51.232,7211.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +509,Neural Structured Learning,tensorflow/neural-structured-learning,tensorflow-utils,,https://github.com/tensorflow/neural-structured-learning,https://github.com/tensorflow/neural-structured-learning,Apache-2.0,2019-08-27 21:48:16.000,2023-09-20 15:32:40.000000,2023-09-20 15:32:36,567.0,,191.0,49.0,61.0,1.0,68.0,975.0,Training neural models with structured signals.,38.0,25,True,2022-07-29 21:05:16.715,1.4.0,8.0,neural-structured-learning,,,,['tensorflow'],419.0,416.0,https://pypi.org/project/neural-structured-learning,2022-07-29 21:05:16.715,3.0,15136.0,15136.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +510,Sentinelsat,sentinelsat/sentinelsat,geospatial-data,,https://github.com/sentinelsat/sentinelsat,https://github.com/sentinelsat/sentinelsat,GPL-3.0,2015-05-22 20:32:26.000,2023-11-08 21:55:22.000000,2023-11-08 21:55:22,1142.0,2.0,236.0,62.0,245.0,22.0,365.0,947.0,Search and download Copernicus Sentinel satellite images.,43.0,25,False,2023-03-10 17:53:00.587,1.2.1,41.0,sentinelsat,conda-forge/sentinelsat,,,,569.0,529.0,https://pypi.org/project/sentinelsat,2017-03-06 02:33:09.000,40.0,18651.0,19351.0,https://anaconda.org/conda-forge/sentinelsat,2023-06-16 19:22:55.678,27934.0,,,,,3.0,262.0,,,,,,,,,,,,,,,,,,,, +511,dstack,dstackai/dstack,others,,https://github.com/dstackai/dstack,https://github.com/dstackai/dstack,MPL-2.0,2022-01-04 10:29:46.000,2024-02-01 14:54:23.000000,2024-02-01 14:54:12,1483.0,128.0,58.0,13.0,382.0,14.0,443.0,925.0,dstack is an open-source toolkit for running GPU workloads on any cloud. It works seamlessly with any cloud GPU..,16.0,25,True,2024-01-24 14:48:01.000,0.14.0,167.0,dstack,,,,,14.0,14.0,https://pypi.org/project/dstack,2024-01-24 14:48:01.000,,1463.0,1463.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +512,GPyOpt,SheffieldML/GPyOpt,hyperopt,,https://github.com/SheffieldML/GPyOpt,https://github.com/SheffieldML/GPyOpt,BSD-3-Clause,2014-08-13 09:58:25.000,2023-01-17 18:04:41.000000,2023-01-17 18:04:41,515.0,,254.0,42.0,72.0,103.0,188.0,910.0,Gaussian Process Optimization using GPy.,50.0,25,False,2020-03-19 21:21:18.000,1.2.6,11.0,gpyopt,,,,,521.0,483.0,https://pypi.org/project/gpyopt,2020-03-19 11:37:45.000,38.0,6618.0,6618.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +513,mahotas,luispedro/mahotas,image,,https://github.com/luispedro/mahotas,https://github.com/luispedro/mahotas,,2010-01-31 00:13:06.000,2024-01-08 13:33:30.000000,2024-01-08 13:19:20,1302.0,3.0,147.0,50.0,56.0,22.0,65.0,818.0,Computer Vision in Python.,34.0,25,False,2022-06-28 14:25:55.000,1.4.13,10.0,mahotas,conda-forge/mahotas,,,,1195.0,1195.0,https://pypi.org/project/mahotas,,,9334.0,18242.0,https://anaconda.org/conda-forge/mahotas,2023-07-26 22:41:29.989,391973.0,,,,,3.0,,-3.0,,,,,,,,,,,,,,,,,,, +514,detoxify,unitaryai/detoxify,nlp,,https://github.com/unitaryai/detoxify,https://github.com/unitaryai/detoxify,Apache-2.0,2020-09-23 15:24:21.000,2024-02-01 14:51:21.000000,2024-02-01 14:45:49,245.0,14.0,104.0,15.0,41.0,35.0,27.0,791.0,Trained models & code to predict toxic comments on all 3 Jigsaw Toxic Comment Challenges. Built using Pytorch..,12.0,25,True,2024-02-01 14:51:21.000,0.5.2,13.0,detoxify,,,,,531.0,516.0,https://pypi.org/project/detoxify,2024-02-01 14:51:21.000,15.0,22339.0,31843.0,,,,,,,,3.0,370687.0,,,,,,,,,,,,,,,,,,,, +515,ml-metadata,google/ml-metadata,ml-experiments,,https://github.com/google/ml-metadata,https://github.com/google/ml-metadata,Apache-2.0,2019-01-15 21:02:09.000,2024-01-26 19:51:44.000000,2024-01-26 19:51:43,835.0,11.0,135.0,30.0,85.0,35.0,75.0,581.0,For recording and retrieving metadata associated with ML developer and data scientist workflows.,19.0,25,True,2023-08-10 00:37:12.000,1.14.0,42.0,ml-metadata,,,,,406.0,382.0,https://pypi.org/project/ml-metadata,2023-08-10 00:37:12.000,24.0,55174.0,55209.0,,,,,,,,3.0,2119.0,,,,,,,,,,,,,,,,,,,, +516,pyvips,libvips/pyvips,image,,https://github.com/libvips/pyvips,https://github.com/libvips/pyvips,MIT,2017-07-28 16:39:43.000,2024-01-22 19:27:29.000000,2024-01-22 19:26:50,471.0,5.0,50.0,8.0,53.0,163.0,232.0,570.0,python binding for libvips using cffi.,16.0,25,True,2024-01-04 12:00:44.000,2.2.2,25.0,pyvips,conda-forge/pyvips,,,,706.0,656.0,https://pypi.org/project/pyvips,2024-01-04 12:00:44.000,50.0,53831.0,55641.0,https://anaconda.org/conda-forge/pyvips,2023-09-26 03:23:28.071,72435.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +517,SKLL,EducationalTestingService/skll,ml-experiments,,https://github.com/EducationalTestingService/skll,https://github.com/EducationalTestingService/skll,BSD-1-Clause,2013-08-02 14:31:46.000,2024-01-30 16:32:23.000000,2024-01-30 16:32:20,3724.0,31.0,67.0,47.0,351.0,22.0,389.0,552.0,SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.,37.0,25,False,2023-11-14 15:08:13.000,4.0.1,69.0,skll,conda-forge/skll,,,['sklearn'],59.0,41.0,https://pypi.org/project/skll,2023-11-14 15:04:40.000,18.0,430.0,911.0,https://anaconda.org/conda-forge/skll,2023-11-15 00:08:06.079,12991.0,,,,,3.0,13.0,,,,,,,,,,,,,,,,,,,, +518,whoosh,mchaput/whoosh,nlp,,https://github.com/mchaput/whoosh,https://github.com/mchaput/whoosh,BSD-1-Clause,2015-04-17 19:34:47.000,2024-01-03 13:23:50.000000,2022-01-15 18:08:37,1718.0,,64.0,16.0,13.0,34.0,7.0,499.0,Pure-Python full-text search library.,42.0,25,False,2016-04-04 01:19:40.000,2.7.4,141.0,whoosh,conda-forge/whoosh,,,,3697.0,,https://pypi.org/project/whoosh,2016-04-04 01:19:40.000,3697.0,359369.0,366215.0,https://anaconda.org/conda-forge/whoosh,2023-09-23 13:28:08.196,225944.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +519,pymap3d,geospace-code/pymap3d,geospatial-data,,https://github.com/geospace-code/pymap3d,https://github.com/geospace-code/pymap3d,BSD-2-Clause,2014-08-03 04:28:03.000,2024-01-29 05:09:00.000000,2024-01-29 05:08:51,765.0,28.0,82.0,13.0,30.0,9.0,47.0,357.0,pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef enu eci.,18.0,25,True,2023-03-05 05:35:05.094,3.0.1,57.0,pymap3d,conda-forge/pymap3d,,,,379.0,356.0,https://pypi.org/project/pymap3d,2023-03-05 05:35:05.094,23.0,73234.0,74646.0,https://anaconda.org/conda-forge/pymap3d,2023-06-16 19:18:14.535,66402.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +520,scikit-posthocs,maximtrp/scikit-posthocs,probabilistics,,https://github.com/maximtrp/scikit-posthocs,https://github.com/maximtrp/scikit-posthocs,MIT,2017-06-22 19:41:37.000,2023-12-20 16:14:39.221000,2023-12-13 18:28:10,521.0,8.0,38.0,5.0,12.0,6.0,47.0,314.0,Multiple Pairwise Comparisons (Post Hoc) Tests in Python.,13.0,25,True,2023-12-19 14:21:38.000,0.8.1,8.0,scikit-posthocs,conda-forge/scikit-posthocs,,,['sklearn'],597.0,597.0,https://pypi.org/project/scikit-posthocs,,,89671.0,112381.0,https://anaconda.org/conda-forge/scikit-posthocs,2023-12-20 16:14:39.221,908439.0,,,,,3.0,39.0,,,,,,,,,,,,,,,,,,,, +521,gokart,m3dev/gokart,ml-experiments,,https://github.com/m3dev/gokart,https://github.com/m3dev/gokart,MIT,2018-12-23 07:40:27.000,2024-01-23 20:44:54.000000,2024-01-23 03:18:15,523.0,12.0,54.0,40.0,271.0,18.0,59.0,297.0,"Gokart solves reproducibility, task dependencies, constraints of good code, and ease of use for Machine Learning..",37.0,25,False,2024-01-16 10:19:37.000,1.2.6,73.0,gokart,,,,,79.0,74.0,https://pypi.org/project/gokart,2024-01-16 10:19:37.000,5.0,3513.0,3513.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +522,lkpy,lenskit/lkpy,recommender-systems,,https://github.com/lenskit/lkpy,https://github.com/lenskit/lkpy,MIT,2018-06-08 21:05:10.000,2024-01-22 16:23:58.143000,2023-12-13 23:01:05,2538.0,68.0,56.0,8.0,237.0,29.0,79.0,254.0,Python recommendation toolkit.,13.0,25,False,2024-01-22 01:47:07.000,0.14.3,22.0,lenskit,conda-forge/lenskit,,,,97.0,97.0,https://pypi.org/project/lenskit,,,967.0,1579.0,https://anaconda.org/conda-forge/lenskit,2024-01-22 16:23:58.143,23905.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +523,PyText,facebookresearch/pytext,nlp,,https://github.com/facebookresearch/pytext,https://github.com/facebookresearch/pytext,BSD-3-Clause,2018-07-31 23:40:46.000,2022-10-17 19:55:31.000000,2022-10-17 19:51:05,1735.0,,824.0,169.0,1588.0,145.0,74.0,6362.0,A natural language modeling framework based on PyTorch.,234.0,24,False,2020-06-08 23:30:58.000,0.3.3,13.0,pytext-nlp,,,,['pytorch'],22.0,21.0,https://pypi.org/project/pytext-nlp,2020-06-08 22:49:33.000,1.0,132.0,137.0,,,,,,,,3.0,352.0,,,,,,,,,,,,,,,,,,,, +524,T5,google-research/text-to-text-transfer-transformer,nlp,,https://github.com/google-research/text-to-text-transfer-transformer,https://github.com/google-research/text-to-text-transfer-transformer,Apache-2.0,2019-10-17 21:45:14.000,2024-01-23 18:30:32.000000,2024-01-23 18:30:25,598.0,3.0,729.0,105.0,588.0,105.0,345.0,5718.0,Code for the paper Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.,58.0,24,True,2023-03-30 16:55:07.154,0.9.4,29.0,t5,,,,['tensorflow'],2.0,,https://pypi.org/project/t5,2021-10-18 13:55:26.000,2.0,16006.0,16006.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +525,textgenrnn,minimaxir/textgenrnn,nlp,,https://github.com/minimaxir/textgenrnn,https://github.com/minimaxir/textgenrnn,MIT,2017-08-07 02:13:37.000,2022-07-17 19:07:49.000000,2020-07-14 02:41:10,174.0,,749.0,138.0,43.0,141.0,98.0,4936.0,Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines..,19.0,24,False,2020-02-03 01:07:00.000,2.0.0,14.0,textgenrnn,,,,['tensorflow'],1121.0,1105.0,https://pypi.org/project/textgenrnn,2020-02-02 21:16:15.000,16.0,576.0,588.0,,,,,,,,3.0,892.0,,,,,,,,,,,,,,,,,,,, +526,scikit-opt,guofei9987/scikit-opt,sklearn-utils,,https://github.com/guofei9987/scikit-opt,https://github.com/guofei9987/scikit-opt,MIT,2017-12-05 10:20:41.000,2023-12-26 10:14:09.000000,2023-11-19 13:26:15,334.0,3.0,936.0,46.0,32.0,62.0,112.0,4725.0,"Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune..",20.0,24,True,2021-06-28 12:45:52.000,0.6.5,20.0,scikit-opt,,,,['sklearn'],174.0,174.0,https://pypi.org/project/scikit-opt,,,2635.0,2635.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +527,Image Super-Resolution,idealo/image-super-resolution,image,,https://github.com/idealo/image-super-resolution,https://github.com/idealo/image-super-resolution,Apache-2.0,2018-11-26 13:41:13.000,2023-12-31 12:14:36.000000,2021-06-02 09:45:13,150.0,,714.0,101.0,34.0,102.0,113.0,4418.0,Super-scale your images and run experiments with Residual Dense and Adversarial Networks.,10.0,24,False,2020-01-08 15:37:35.000,2.2.0,11.0,ISR,,idealo/image-super-resolution-gpu,,['tensorflow'],127.0,122.0,https://pypi.org/project/ISR,2020-01-08 15:37:35.000,5.0,4630.0,4633.0,,,,https://hub.docker.com/r/idealo/image-super-resolution-gpu,2019-04-01 13:48:45.697251,1.0,233.0,3.0,,,,,,,,,,,,,,,,,,,,, +528,PyAlgoTrade,gbeced/pyalgotrade,financial-data,,https://github.com/gbeced/pyalgotrade,https://github.com/gbeced/pyalgotrade,Apache-2.0,2012-03-07 01:09:54.000,2023-11-13 07:16:00.000000,2023-03-05 22:07:59,1158.0,,1370.0,351.0,59.0,51.0,,4245.0,Python Algorithmic Trading Library.,11.0,24,True,,,8.0,pyalgotrade,,,,,203.0,182.0,https://pypi.org/project/pyalgotrade,2018-08-21 01:48:25.000,21.0,563.0,563.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +529,Stable Baselines,hill-a/stable-baselines,reinforcement-learning,,https://github.com/hill-a/stable-baselines,https://github.com/hill-a/stable-baselines,MIT,2018-07-02 14:28:59.000,2022-09-04 14:04:44.000000,2022-09-04 14:04:44,839.0,,716.0,65.0,247.0,124.0,823.0,3980.0,"A fork of OpenAI Baselines, implementations of reinforcement learning algorithms.",114.0,24,False,2021-04-06 12:38:10.521,2.10.2,31.0,stable-baselines,,,,,35.0,,https://pypi.org/project/stable-baselines,2021-04-06 12:38:10.521,35.0,4751.0,4751.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +530,ReAgent,facebookresearch/ReAgent,reinforcement-learning,,https://github.com/facebookresearch/ReAgent,https://github.com/facebookresearch/ReAgent,BSD-3-Clause,2017-07-27 17:53:21.000,2024-01-29 16:27:55.000000,2024-01-29 16:24:42,1591.0,14.0,503.0,152.0,609.0,69.0,75.0,3502.0,"A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.).",166.0,24,True,2020-01-27 22:06:00.000,0.0.0,2.0,reagent,,,,['pytorch'],,,https://pypi.org/project/reagent,2020-05-27 20:58:01.000,,21.0,21.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +531,PARL,PaddlePaddle/PARL,reinforcement-learning,,https://github.com/PaddlePaddle/PARL,https://github.com/PaddlePaddle/PARL,Apache-2.0,2018-04-25 17:54:22.000,2023-09-22 09:55:14.000000,2023-05-19 17:52:25,508.0,,811.0,62.0,629.0,108.0,396.0,3137.0,A high-performance distributed training framework for Reinforcement Learning.,42.0,24,True,2023-03-14 02:03:08.557,2.2.1,29.0,parl,,,,['paddle'],123.0,122.0,https://pypi.org/project/parl,2022-05-13 04:46:41.000,1.0,731.0,731.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +532,PandasGUI,adamerose/pandasgui,data-viz,,https://github.com/adamerose/PandasGUI,https://github.com/adamerose/PandasGUI,MIT-0,2019-06-12 02:19:42.000,2023-12-07 20:40:17.000000,2023-12-07 20:40:17,720.0,5.0,219.0,54.0,36.0,72.0,121.0,3088.0,A GUI for Pandas DataFrames.,15.0,24,False,2023-02-11 20:04:00.783,0.2.14,44.0,pandasgui,conda-forge/pandasgui,,,['pandas'],347.0,342.0,https://pypi.org/project/pandasgui,2021-08-14 09:14:51.000,5.0,3744.0,4308.0,https://anaconda.org/conda-forge/pandasgui,2023-06-16 19:24:31.206,20873.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +533,xLearn,aksnzhy/xlearn,ml-frameworks,,https://github.com/aksnzhy/xlearn,https://github.com/aksnzhy/xlearn,Apache-2.0,2017-06-10 08:09:31.000,2023-08-28 05:14:10.000000,2022-06-05 10:44:18,1342.0,,528.0,110.0,73.0,193.0,117.0,3080.0,"High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization..",30.0,24,False,2019-04-25 02:10:05.000,0.4.4,15.0,xlearn,,,,,137.0,125.0,https://pypi.org/project/xlearn,2018-12-04 11:05:06.000,12.0,690.0,753.0,,,,,,,,3.0,4487.0,,,,,,,,,,,,,,,,,,,, +534,DeepVariant,google/deepvariant,medical-data,,https://github.com/google/deepvariant,https://github.com/google/deepvariant,BSD-3-Clause,2017-11-23 01:56:22.000,2024-01-26 20:28:01.000000,2023-12-09 00:22:24,2360.0,1.0,680.0,165.0,60.0,7.0,702.0,3006.0,DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA..,28.0,24,True,2023-10-23 21:02:38.000,1.6.0,20.0,,bioconda/deepvariant,,,['tensorflow'],,,,,,,901.0,https://anaconda.org/bioconda/deepvariant,2023-06-16 16:08:50.013,61209.0,,,,,3.0,4701.0,,,,,,,,,,,,,,,,,,,, +535,keras-vis,raghakot/keras-vis,interpretability,,https://github.com/raghakot/keras-vis,https://github.com/raghakot/keras-vis,MIT,2016-11-11 23:27:34.000,2022-02-07 16:06:07.000000,2020-04-20 01:03:12,195.0,,679.0,73.0,25.0,117.0,101.0,2973.0,Neural network visualization toolkit for keras.,10.0,24,False,2017-07-06 05:11:22.255,0.4.1,11.0,keras-vis,,,,['tensorflow'],2902.0,2873.0,https://pypi.org/project/keras-vis,2017-07-06 05:11:22.255,29.0,1041.0,1041.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +536,DDSP,magenta/ddsp,audio,,https://github.com/magenta/ddsp,https://github.com/magenta/ddsp,Apache-2.0,2020-01-14 18:38:27.000,2023-06-30 21:16:15.000000,2023-06-30 21:16:10,470.0,,309.0,66.0,315.0,43.0,124.0,2708.0,DDSP: Differentiable Digital Signal Processing.,32.0,24,True,2023-05-25 02:30:41.654,3.7.0,55.0,ddsp,conda-forge/ddsp,,,['tensorflow'],49.0,48.0,https://pypi.org/project/ddsp,2022-05-25 17:42:19.000,1.0,1637.0,1969.0,https://anaconda.org/conda-forge/ddsp,2023-06-16 19:19:34.916,14634.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +537,GluonNLP,dmlc/gluon-nlp,nlp,,https://github.com/dmlc/gluon-nlp,https://github.com/dmlc/gluon-nlp,Apache-2.0,2018-04-04 20:57:13.000,2023-10-06 04:01:21.000000,2022-12-25 20:52:27,843.0,,504.0,99.0,1045.0,237.0,297.0,2551.0,"Toolkit that enables easy text preprocessing, datasets loading and neural models building to help you speed up your..",86.0,24,False,2020-08-13 19:16:27.000,0.10.0,15.0,gluonnlp,,,,['mxnet'],,,https://pypi.org/project/gluonnlp,,,75243.0,75243.0,,,,,,,,3.0,,-2.0,,,,,,,,,,,,,,,,,,, +538,promptsource,bigscience-workshop/promptsource,nlp,,https://github.com/bigscience-workshop/promptsource,https://github.com/bigscience-workshop/promptsource,Apache-2.0,2021-05-19 15:26:25.000,2023-10-23 17:59:41.000000,2023-10-23 17:59:40,755.0,,304.0,28.0,695.0,49.0,150.0,2352.0,"Toolkit for creating, sharing and using natural language prompts.",65.0,24,True,2022-07-02 17:57:17.000,0.2.3,5.0,promptsource,,,,,84.0,83.0,https://pypi.org/project/promptsource,2022-04-18 22:31:03.000,1.0,491.0,491.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +539,python_speech_features,jameslyons/python_speech_features,audio,,https://github.com/jameslyons/python_speech_features,https://github.com/jameslyons/python_speech_features,MIT,2013-10-31 02:42:08.000,2021-10-20 10:08:48.000000,2020-12-31 13:27:01,120.0,,645.0,90.0,29.0,25.0,52.0,2306.0,This library provides common speech features for ASR including MFCCs and filterbank energies.,19.0,24,False,2020-01-14 14:12:10.000,0.6.1,6.0,python_speech_features,,,,,679.0,499.0,https://pypi.org/project/python_speech_features,2017-08-16 01:46:13.000,180.0,27838.0,27838.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +540,pytorch-nlp,PetrochukM/PyTorch-NLP,nlp,,https://github.com/PetrochukM/PyTorch-NLP,https://github.com/PetrochukM/PyTorch-NLP,BSD-3-Clause,2018-02-25 05:00:36.000,2023-07-04 21:11:26.000000,2023-07-04 21:11:26,451.0,,256.0,57.0,56.0,19.0,50.0,2204.0,Basic Utilities for PyTorch Natural Language Processing (NLP).,18.0,24,True,2019-11-04 05:16:00.000,0.5.0,5.0,pytorch-nlp,,,,['pytorch'],638.0,638.0,https://pypi.org/project/pytorch-nlp,,,5379.0,5379.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +541,kubric,google-research/kubric,image,,https://github.com/google-research/kubric,https://github.com/google-research/kubric,Apache-2.0,2020-07-22 19:56:38.000,2024-01-11 20:56:38.000000,2023-10-16 16:49:59,532.0,,198.0,41.0,116.0,62.0,126.0,2104.0,A data generation pipeline for creating semi-realistic synthetic multi-object videos with rich annotations such as..,25.0,24,True,2023-12-27 00:46:01.000,2023.12.27,773.0,kubric-nightly,,,,,3.0,3.0,https://pypi.org/project/kubric-nightly,2023-12-27 00:46:01.000,,5431.0,5431.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +542,PyFlux,RJT1990/pyflux,time-series-data,,https://github.com/RJT1990/pyflux,https://github.com/RJT1990/pyflux,BSD-3-Clause,2016-02-16 20:12:02.000,2023-10-24 16:13:23.000000,2018-12-16 15:30:13,118.0,,244.0,71.0,21.0,93.0,66.0,2077.0,Open source time series library for Python.,6.0,24,False,2017-11-21 16:27:06.000,0.4.16,36.0,pyflux,,,,,278.0,261.0,https://pypi.org/project/pyflux,2017-11-21 16:27:06.000,17.0,27536.0,27536.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +543,Multicore-TSNE,DmitryUlyanov/Multicore-TSNE,data-viz,,https://github.com/DmitryUlyanov/Multicore-TSNE,https://github.com/DmitryUlyanov/Multicore-TSNE,BSD-3-Clause,2016-10-19 05:46:52.000,2024-01-12 11:22:59.000000,2024-01-12 11:22:59,124.0,6.0,228.0,43.0,36.0,45.0,23.0,1832.0,Parallel t-SNE implementation with Python and Torch wrappers.,18.0,24,True,2017-11-08 13:32:20.000,0.0.1,3.0,MulticoreTSNE,conda-forge/multicore-tsne,,,['pytorch'],448.0,426.0,https://pypi.org/project/MulticoreTSNE,2019-01-09 07:23:04.000,22.0,1801.0,2729.0,https://anaconda.org/conda-forge/multicore-tsne,2023-10-11 19:12:48.654,31578.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +544,sense2vec,explosion/sense2vec,nlp,,https://github.com/explosion/sense2vec,https://github.com/explosion/sense2vec,MIT,2016-01-23 22:15:49.000,2023-09-22 07:25:32.800000,2023-04-20 14:53:46,460.0,,238.0,49.0,48.0,22.0,91.0,1579.0,Contextually-keyed word vectors.,19.0,24,True,2023-04-17 14:14:02.218,2.0.2,24.0,sense2vec,conda-forge/sense2vec,,,,332.0,318.0,https://pypi.org/project/sense2vec,2021-04-19 07:05:28.000,14.0,1728.0,3760.0,https://anaconda.org/conda-forge/sense2vec,2023-09-22 07:25:32.800,35719.0,,,,,3.0,61649.0,,,,,,,,,,,,,,,,,,,, +545,Feature Engine,solegalli/feature_engine,others,,https://github.com/solegalli/feature_engine,https://github.com/solegalli/feature_engine,BSD-3-Clause,2020-08-06 19:43:35.639,2023-09-19 07:41:06.631000,2022-12-07 10:32:49,237.0,,267.0,1.0,1.0,1.0,,1529.0,Feature engineering package with sklearn like functionality.,38.0,24,False,2023-09-18 14:50:58.000,1.6.2,38.0,feature_engine,conda-forge/feature_engine,,,,96.0,,https://pypi.org/project/feature_engine,2023-09-18 14:50:58.000,96.0,139845.0,140890.0,https://anaconda.org/conda-forge/feature_engine,2023-09-19 07:41:06.631,43924.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +546,Explainability 360,Trusted-AI/AIX360,interpretability,,https://github.com/Trusted-AI/AIX360,https://github.com/Trusted-AI/AIX360,Apache-2.0,2019-07-11 07:17:48.000,2023-09-20 03:33:51.000000,2023-08-22 14:21:42,580.0,,302.0,55.0,115.0,54.0,30.0,1477.0,Interpretability and explainability of data and machine learning models.,41.0,24,True,2023-07-31 18:54:38.000,0.3.0,5.0,aix360,,,,,87.0,86.0,https://pypi.org/project/aix360,2023-07-31 18:54:38.000,1.0,1123.0,1123.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +547,PyKEEN,pykeen/pykeen,graph,,https://github.com/pykeen/pykeen,https://github.com/pykeen/pykeen,MIT,2020-02-24 07:26:03.000,2023-11-18 16:28:54.000000,2023-10-07 11:26:54,2816.0,,168.0,26.0,660.0,109.0,434.0,1445.0,A Python library for learning and evaluating knowledge graph embeddings.,36.0,24,True,2023-02-22 18:29:02.145,1.10.1,46.0,pykeen,,,,,5.0,,https://pypi.org/project/pykeen,2023-02-22 18:29:02.145,5.0,3688.0,3692.0,,,,,,,,2.0,177.0,,,,,,,,,,,,,,,,,,,, +548,NiftyNet,NifTK/NiftyNet,medical-data,,https://github.com/NifTK/NiftyNet,https://github.com/NifTK/NiftyNet,Apache-2.0,2017-08-30 07:55:43.000,2020-04-21 19:54:52.000000,2020-04-21 19:54:51,3284.0,,405.0,91.0,165.0,103.0,224.0,1353.0,[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-..,61.0,24,False,2019-10-10 10:59:33.000,0.6.0,11.0,niftynet,,,,['tensorflow'],43.0,42.0,https://pypi.org/project/niftynet,2019-10-10 10:59:33.000,1.0,86.0,86.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +549,Vulkan Kompute,KomputeProject/kompute,gpu-utilities,,https://github.com/KomputeProject/kompute,https://github.com/KomputeProject/kompute,Apache-2.0,2020-07-29 05:23:33.000,2024-01-31 20:03:55.000000,2024-01-21 12:59:25,1233.0,23.0,107.0,32.0,153.0,71.0,131.0,1342.0,"General purpose GPU compute framework built on Vulkan to support 1000s of cross vendor graphics cards (AMD, Qualcomm,..",23.0,24,True,2024-01-20 15:39:17.000,0.9.0,14.0,kp,,,,,8.0,8.0,https://pypi.org/project/kp,2024-01-20 15:33:09.000,,189.0,200.0,,,,,,,,3.0,492.0,,,,,,,,,,,,,,,,,,,, +550,keras-ocr,faustomorales/keras-ocr,ocr,,https://github.com/faustomorales/keras-ocr,https://github.com/faustomorales/keras-ocr,MIT,2019-09-20 23:08:50.000,2023-11-06 16:35:44.000000,2023-11-06 15:20:05,206.0,2.0,322.0,49.0,43.0,94.0,,1297.0,A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model.,18.0,24,True,2023-11-06 16:35:44.000,0.9.3,33.0,keras-ocr,anaconda/keras-ocr,,,['tensorflow'],412.0,404.0,https://pypi.org/project/keras-ocr,2023-11-06 16:35:44.000,8.0,27090.0,47046.0,https://anaconda.org/anaconda/keras-ocr,2023-06-16 19:23:39.693,301.0,,,,,3.0,817944.0,,,,,,,,,,,,,,,,,,,, +551,TFEncrypted,tf-encrypted/tf-encrypted,privacy-ml,,https://github.com/tf-encrypted/tf-encrypted,https://github.com/tf-encrypted/tf-encrypted,Apache-2.0,2018-03-21 18:22:13.000,2023-10-19 08:20:16.000000,2023-02-08 02:25:50,604.0,,203.0,54.0,460.0,143.0,293.0,1173.0,A Framework for Encrypted Machine Learning in TensorFlow.,29.0,24,True,2023-02-08 02:53:00.720,0.9.1,41.0,tf-encrypted,,,,['tensorflow'],73.0,64.0,https://pypi.org/project/tf-encrypted,2022-11-16 09:12:55.841,9.0,547.0,547.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +552,Node2Vec,eliorc/node2vec,graph,,https://github.com/eliorc/node2vec,https://github.com/eliorc/node2vec,MIT,2017-12-08 13:30:06.000,2023-12-24 06:07:13.000000,2023-12-24 06:07:13,78.0,2.0,226.0,20.0,17.0,4.0,87.0,1154.0,Implementation of the node2vec algorithm.,13.0,24,True,2022-08-01 11:35:00.616,0.4.6,18.0,node2vec,conda-forge/node2vec,,,,565.0,544.0,https://pypi.org/project/node2vec,2022-08-01 11:35:00.616,21.0,76550.0,76944.0,https://anaconda.org/conda-forge/node2vec,2023-06-16 16:13:35.056,27240.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +553,ChainerRL,chainer/chainerrl,reinforcement-learning,,https://github.com/chainer/chainerrl,https://github.com/chainer/chainerrl,MIT,2017-01-30 04:58:15.000,2021-08-10 18:25:48.000000,2021-04-17 06:02:30,3471.0,,223.0,73.0,415.0,75.0,147.0,1141.0,ChainerRL is a deep reinforcement learning library built on top of Chainer.,28.0,24,False,2020-02-14 05:35:56.000,0.8.0,10.0,chainerrl,,,,,169.0,159.0,https://pypi.org/project/chainerrl,2020-02-14 05:35:56.000,10.0,458.0,458.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +554,scikit-cuda,lebedov/scikit-cuda,gpu-utilities,,https://github.com/lebedov/scikit-cuda,https://github.com/lebedov/scikit-cuda,BSD-3-Clause,2010-09-27 02:02:07.000,2023-10-15 05:57:46.000000,2023-10-15 05:57:46,1036.0,,173.0,48.0,112.0,52.0,170.0,963.0,Python interface to GPU-powered libraries.,44.0,24,True,2019-05-27 00:29:00.000,0.5.3,7.0,scikit-cuda,,,,,331.0,281.0,https://pypi.org/project/scikit-cuda,2019-05-27 00:29:00.000,50.0,682.0,682.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +555,PyTorch Sparse,rusty1s/pytorch_sparse,pytorch-utils,,https://github.com/rusty1s/pytorch_sparse,https://github.com/rusty1s/pytorch_sparse,MIT,2018-07-28 18:46:53.000,2024-01-23 07:24:23.000000,2024-01-23 07:24:23,728.0,2.0,143.0,16.0,101.0,28.0,232.0,921.0,PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations.,45.0,24,True,2023-10-06 08:51:55.000,0.6.18,31.0,torch-sparse,conda-forge/pytorch_sparse,,,['pytorch'],75.0,,https://pypi.org/project/torch-sparse,2023-10-06 08:51:55.000,75.0,21327.0,26939.0,https://anaconda.org/conda-forge/pytorch_sparse,2024-01-09 03:56:17.077,246967.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +556,gmaps,pbugnion/gmaps,geospatial-data,,https://github.com/pbugnion/gmaps,https://github.com/pbugnion/gmaps,BSD-3-Clause,2014-12-01 09:12:06.000,2023-06-16 13:23:14.332000,2019-07-22 06:22:45,1380.0,,150.0,25.0,154.0,79.0,137.0,761.0,Google maps for Jupyter notebooks.,16.0,24,False,2019-07-21 08:49:48.715,0.9.0,96.0,gmaps,conda-forge/gmaps,,,['jupyter'],51.0,4.0,https://pypi.org/project/gmaps,2021-12-15 15:42:57.506,44.0,4787.0,9797.0,https://anaconda.org/conda-forge/gmaps,2023-06-16 13:23:14.332,310430.0,,,,,3.0,,,,,jupyter-gmaps,https://www.npmjs.com/package/jupyter-gmaps,2019-07-21 08:49:48.715,3.0,1178.0,,,,,,,,,,,, +557,NeuPy,itdxer/neupy,ml-frameworks,,https://github.com/itdxer/neupy,https://github.com/itdxer/neupy,MIT,2015-08-24 19:45:11.000,2023-01-03 21:24:56.000000,2023-01-03 21:24:56,1146.0,,158.0,34.0,25.0,35.0,235.0,740.0,NeuPy is a Tensorflow based python library for prototyping and building neural networks.,8.0,24,False,2019-04-04 19:44:59.000,0.8.2,34.0,neupy,,,,,177.0,164.0,https://pypi.org/project/neupy,2019-04-04 19:43:06.000,13.0,3121.0,3121.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +558,torch-cluster,rusty1s/pytorch_cluster,graph,,https://github.com/rusty1s/pytorch_cluster,https://github.com/rusty1s/pytorch_cluster,MIT,2018-01-12 20:56:06.000,2023-12-29 00:14:59.843000,2023-10-11 13:01:19,594.0,,127.0,16.0,53.0,30.0,121.0,731.0,PyTorch Extension Library of Optimized Graph Cluster Algorithms.,32.0,24,True,2023-10-12 06:54:28.000,1.6.3,43.0,torch-cluster,conda-forge/pytorch_cluster,,,['pytorch'],45.0,,https://pypi.org/project/torch-cluster,2023-10-12 06:52:43.000,45.0,11527.0,13487.0,https://anaconda.org/conda-forge/pytorch_cluster,2023-12-29 00:14:59.843,88240.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +559,pySBD,nipunsadvilkar/pySBD,nlp,,https://github.com/nipunsadvilkar/pySBD,https://github.com/nipunsadvilkar/pySBD,MIT,2017-06-11 06:15:20.000,2023-08-27 04:36:31.000000,2021-02-11 16:40:18,279.0,,74.0,13.0,48.0,19.0,53.0,695.0,pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence boundary detection that works out-of-the-box.,7.0,24,False,2021-02-11 16:42:37.000,0.3.4,15.0,pysbd,conda-forge/pysbd,,,,1179.0,1179.0,https://pypi.org/project/pysbd,,,273989.0,274168.0,https://anaconda.org/conda-forge/pysbd,2023-06-16 19:27:37.870,5026.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +560,Mapbox GL,mapbox/mapboxgl-jupyter,geospatial-data,,https://github.com/mapbox/mapboxgl-jupyter,https://github.com/mapbox/mapboxgl-jupyter,MIT,2017-08-08 15:10:51.000,2022-01-11 05:18:07.000000,2021-04-19 05:00:36,221.0,,138.0,130.0,91.0,43.0,67.0,647.0,Use Mapbox GL JS to visualize data in a Python Jupyter notebook.,22.0,24,False,2019-06-03 21:24:10.000,0.10.2,20.0,mapboxgl,,,,['jupyter'],201.0,186.0,https://pypi.org/project/mapboxgl,2019-06-02 16:02:54.380,15.0,12751.0,12751.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +561,tinytag,devsnd/tinytag,audio,,https://github.com/devsnd/tinytag,https://github.com/devsnd/tinytag,MIT,2014-01-27 15:27:01.000,2023-11-30 08:29:05.000000,2023-10-26 19:25:33,460.0,,101.0,23.0,86.0,15.0,94.0,646.0,"Read audio and music meta data and duration of MP3, OGG, OPUS, MP4, M4A, FLAC, WMA, Wave and AIFF files with python 2..",26.0,24,True,2023-10-26 19:30:36.000,1.10.1,41.0,tinytag,,,,,112.0,,https://pypi.org/project/tinytag,2023-10-26 19:30:36.000,112.0,22772.0,22772.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +562,Torchbearer,pytorchbearer/torchbearer,ml-frameworks,,https://github.com/pytorchbearer/torchbearer,https://github.com/pytorchbearer/torchbearer,MIT,2018-03-12 16:30:42.000,2023-12-04 11:10:47.000000,2023-12-04 11:10:46,442.0,12.0,68.0,26.0,433.0,10.0,237.0,631.0,torchbearer: A model fitting library for PyTorch.,14.0,24,True,2023-12-01 18:48:07.000,0.5.5,26.0,torchbearer,,,,['pytorch'],90.0,86.0,https://pypi.org/project/torchbearer,2023-12-01 18:48:07.000,4.0,456.0,456.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +563,aequitas,dssg/aequitas,interpretability,,https://github.com/dssg/aequitas,https://github.com/dssg/aequitas,MIT,2018-02-13 19:40:30.000,2024-02-01 14:30:22.000000,2024-02-01 14:08:29,883.0,22.0,106.0,43.0,90.0,56.0,31.0,609.0,Bias Auditing & Fair ML Toolkit.,19.0,24,True,2024-01-30 12:03:19.000,1.0.0,18.0,aequitas,,,,,155.0,148.0,https://pypi.org/project/aequitas,2024-01-30 12:03:19.000,7.0,3385.0,3385.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +564,FEDOT,nccr-itmo/FEDOT,hyperopt,,https://github.com/aimclub/FEDOT,https://github.com/aimclub/FEDOT,BSD-3-Clause,2020-01-13 12:48:37.000,2024-01-31 18:21:17.000000,2024-01-27 19:54:19,854.0,24.0,80.0,9.0,711.0,87.0,432.0,586.0,Automated modeling and machine learning framework FEDOT.,32.0,24,True,2024-01-23 15:03:23.000,0.7.3,20.0,fedot,,,,,47.0,44.0,https://pypi.org/project/fedot,2024-01-23 13:46:00.000,3.0,726.0,726.0,,,,,,,,2.0,,,,aimclub/FEDOT,,,,,,,,,,,,,,,,, +565,featurewiz,AutoViML/featurewiz,hyperopt,,https://github.com/AutoViML/featurewiz,https://github.com/AutoViML/featurewiz,Apache-2.0,2020-11-29 16:46:16.000,2024-02-01 12:31:17.000000,2024-02-01 12:30:26,341.0,32.0,85.0,7.0,19.0,,83.0,519.0,Use advanced feature engineering strategies and select best features from your data set with a single line of code.,17.0,24,True,2024-02-01 12:31:17.000,0.5.5,160.0,featurewiz,,,,,65.0,63.0,https://pypi.org/project/featurewiz,2024-02-01 12:31:17.000,2.0,8401.0,8401.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +566,findspark,minrk/findspark,others,,https://github.com/minrk/findspark,https://github.com/minrk/findspark,BSD-3-Clause,2015-06-12 21:34:06.000,2023-06-16 13:16:45.065000,2022-02-11 07:59:35,77.0,,72.0,9.0,17.0,11.0,12.0,503.0,Find pyspark to make it importable.,15.0,24,False,2022-02-11 08:02:06.000,2.0.1,14.0,findspark,conda-forge/findspark,,,['spark'],4311.0,4146.0,https://pypi.org/project/findspark,2022-02-11 08:02:06.000,165.0,1745560.0,1755198.0,https://anaconda.org/conda-forge/findspark,2023-06-16 13:16:45.065,886713.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +567,MONAILabel,Project-MONAI/MONAILabel,others,,https://github.com/Project-MONAI/MONAILabel,https://github.com/Project-MONAI/MONAILabel,Apache-2.0,2021-03-26 15:25:10.000,2024-01-24 01:39:17.000000,2024-01-24 01:39:16,963.0,12.0,172.0,24.0,829.0,95.0,384.0,499.0,MONAI Label is an intelligent open source image labeling and learning tool.,57.0,24,True,2023-10-18 15:08:49.000,0.8.0,15.0,monailabel-weekly,,,,,,,https://pypi.org/project/monailabel-weekly,,,439.0,2728.0,,,,,,,,3.0,70967.0,,,,,,,,,,,,,,,,,,,, +568,TensorFlow Cloud,tensorflow/cloud,tensorflow-utils,,https://github.com/tensorflow/cloud,https://github.com/tensorflow/cloud,Apache-2.0,2020-02-10 18:51:59.000,2023-10-20 17:29:31.000000,2023-10-20 17:29:28,575.0,,84.0,29.0,317.0,75.0,27.0,363.0,The TensorFlow Cloud repository provides APIs that will allow to easily go from debugging and training your Keras and..,27.0,24,True,2021-06-17 01:15:10.000,0.1.16,19.0,tensorflow-cloud,,,,['tensorflow'],348.0,341.0,https://pypi.org/project/tensorflow-cloud,2021-06-17 01:15:10.000,7.0,36390.0,36390.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +569,Orion,Epistimio/orion,hyperopt,,https://github.com/Epistimio/orion,https://github.com/Epistimio/orion,BSD-3-Clause,2017-09-07 06:05:21.000,2023-12-11 19:25:59.000000,2023-11-17 21:43:05,4051.0,9.0,49.0,14.0,712.0,217.0,203.0,275.0,Asynchronous Distributed Hyperparameter Optimization.,32.0,24,False,2023-03-02 22:26:01.035,0.2.7,26.0,orion,,,,,105.0,97.0,https://pypi.org/project/orion,2022-08-22 17:10:40.826,8.0,1381.0,1381.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,, +570,MMF,facebookresearch/mmf,image,,https://github.com/facebookresearch/mmf,https://github.com/facebookresearch/mmf,BSD-3-Clause,2018-06-27 04:52:40.000,2024-01-18 21:14:52.000000,2024-01-03 14:54:33,1095.0,2.0,882.0,117.0,675.0,109.0,542.0,5365.0,A modular framework for vision & language multimodal research from Facebook AI Research (FAIR).,116.0,23,True,2019-08-26 19:04:21.000,0.3.1,2.0,mmf,,,,['pytorch'],17.0,17.0,https://pypi.org/project/mmf,,,225.0,225.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +571,Augmentor,mdbloice/Augmentor,image,,https://github.com/mdbloice/Augmentor,https://github.com/mdbloice/Augmentor,MIT,2016-03-01 18:29:55.000,2023-10-16 20:29:38.000000,2023-03-29 07:02:37,553.0,,841.0,124.0,63.0,119.0,74.0,5004.0,Image augmentation library in Python for machine learning.,23.0,23,True,,,,Augmentor,,,,,701.0,701.0,https://pypi.org/project/Augmentor,,,5812.0,5812.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +572,MMLSpark,microsoft/SynapseML,distributed-ml,,https://github.com/microsoft/SynapseML,https://github.com/microsoft/SynapseML,MIT,2017-06-05 08:23:44.000,2024-02-01 06:12:49.000000,2024-01-31 18:21:56,1557.0,22.0,821.0,144.0,1464.0,326.0,398.0,4918.0,Simple and Distributed Machine Learning.,115.0,23,True,2023-11-27 21:27:39.000,1.0.2,42.0,mmlspark,,,,['spark'],,,https://pypi.org/project/mmlspark,2020-03-18 01:27:31.000,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +573,Crypto Signals,CryptoSignal/crypto-signal,financial-data,,https://github.com/CryptoSignal/Crypto-Signal,https://github.com/CryptoSignal/Crypto-Signal,MIT,2017-09-16 23:49:24.000,2024-01-26 09:49:03.000000,2022-08-09 13:26:32,565.0,,1273.0,306.0,208.0,67.0,208.0,4618.0,"Github.com/CryptoSignal - Trading & Technical Analysis Bot - 4,100+ stars, 1,100+ forks.",28.0,23,False,,,,,,shadowreaver/crypto-signal,,,,,,,,,1860.0,,,,https://hub.docker.com/r/shadowreaver/crypto-signal,2020-09-03 13:00:35.801133,8.0,143236.0,3.0,,,,,,,,,,,,,,,,,,,,, +574,yellowbrick,DistrictDataLabs/yellowbrick,interpretability,,https://github.com/DistrictDataLabs/yellowbrick,https://github.com/DistrictDataLabs/yellowbrick,Apache-2.0,2016-05-18 14:12:17.000,2023-07-29 21:28:21.000000,2023-07-05 18:14:28,901.0,,548.0,103.0,617.0,89.0,606.0,4150.0,Visual analysis and diagnostic tools to facilitate machine learning model selection.,113.0,23,True,2022-08-21 12:49:43.000,1.5,24.0,yellowbrick,conda-forge/yellowbrick,,,['sklearn'],,,https://pypi.org/project/yellowbrick,,,413501.0,415258.0,https://anaconda.org/conda-forge/yellowbrick,2023-06-16 19:21:13.554,73827.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +575,Snips NLU,snipsco/snips-nlu,nlp,,https://github.com/snipsco/snips-nlu,https://github.com/snipsco/snips-nlu,Apache-2.0,2017-02-08 16:16:36.000,2023-05-22 16:10:15.000000,2021-05-03 12:18:31,2154.0,,512.0,137.0,649.0,66.0,197.0,3853.0,Snips Python library to extract meaning from text.,22.0,23,False,2020-01-15 09:51:41.000,0.20.2,58.0,snips-nlu,,,,,,,https://pypi.org/project/snips-nlu,,,1945.0,1945.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +576,MatchZoo,NTMC-Community/MatchZoo,nlp,,https://github.com/NTMC-Community/MatchZoo,https://github.com/NTMC-Community/MatchZoo,Apache-2.0,2017-06-08 08:55:22.000,2021-06-03 02:58:49.000000,2021-06-02 17:38:16,1810.0,,890.0,178.0,385.0,33.0,430.0,3809.0,"Facilitating the design, comparison and sharing of deep text matching models.",36.0,23,False,2019-10-09 19:24:22.000,2.2,2.0,matchzoo,,,,['tensorflow'],16.0,16.0,https://pypi.org/project/matchzoo,,,93.0,93.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +577,AdaNet,tensorflow/adanet,hyperopt,,https://github.com/tensorflow/adanet,https://github.com/tensorflow/adanet,Apache-2.0,2018-06-28 20:20:24.000,2023-11-30 16:30:21.000000,2021-08-30 19:33:24,440.0,,528.0,175.0,50.0,65.0,49.0,3477.0,Fast and flexible AutoML with learning guarantees.,27.0,23,False,2020-07-09 21:03:28.000,0.9.0,13.0,adanet,,,,['tensorflow'],59.0,56.0,https://pypi.org/project/adanet,2020-07-09 21:03:28.000,3.0,73.0,73.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +578,Texthero,jbesomi/texthero,nlp,,https://github.com/jbesomi/texthero,https://github.com/jbesomi/texthero,MIT,2020-04-06 15:16:05.000,2023-08-29 08:45:13.000000,2023-08-29 08:45:10,277.0,,236.0,43.0,110.0,80.0,64.0,2848.0,"Text preprocessing, representation and visualization from zero to hero.",21.0,23,True,2021-07-01 17:11:02.000,1.1.0,10.0,texthero,,,,,6.0,,https://pypi.org/project/texthero,2021-07-01 17:11:02.000,6.0,9259.0,9261.0,,,,,,,,3.0,121.0,,,,,,,,,,,,,,,,,,,, +579,tensorflow-graphics,tensorflow/graphics,image,,https://github.com/tensorflow/graphics,https://github.com/tensorflow/graphics,Apache-2.0,2019-01-08 10:39:44.000,2023-12-15 22:52:18.000000,2023-12-15 22:50:38,766.0,1.0,362.0,92.0,547.0,144.0,92.0,2738.0,TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow.,39.0,23,True,2021-12-03 22:33:39.000,2021.12.3,25.0,tensorflow-graphics,,,,['tensorflow'],9.0,,https://pypi.org/project/tensorflow-graphics,2021-12-03 22:33:39.000,9.0,9765.0,9765.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +580,eli5,TeamHG-Memex/eli5,interpretability,,https://github.com/TeamHG-Memex/eli5,https://github.com/TeamHG-Memex/eli5,MIT,2016-09-15 01:04:57.000,2023-06-16 13:18:29.838000,2020-01-22 07:39:36,1198.0,,317.0,67.0,167.0,144.0,113.0,2711.0,A library for debugging/inspecting machine learning classifiers and explaining their predictions.,14.0,23,False,,,11.0,eli5,conda-forge/eli5,,,,,,https://pypi.org/project/eli5,,,445463.0,447278.0,https://anaconda.org/conda-forge/eli5,2023-06-16 13:18:29.838,147051.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +581,ffcv,libffcv/ffcv,image,,https://github.com/libffcv/ffcv,https://github.com/libffcv/ffcv,Apache-2.0,2021-10-13 17:03:39.000,2024-01-21 06:34:47.000000,2024-01-21 06:34:10,937.0,2.0,171.0,20.0,75.0,92.0,169.0,2703.0,FFCV: Fast Forward Computer Vision (and other ML workloads!).,28.0,23,True,2023-03-05 05:44:00.314,1.0.2,7.0,ffcv,,,,,37.0,36.0,https://pypi.org/project/ffcv,2022-01-28 20:40:22.000,1.0,1307.0,1307.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +582,analytics-zoo,intel-analytics/analytics-zoo,distributed-ml,,https://github.com/intel-analytics/analytics-zoo,https://github.com/intel-analytics/analytics-zoo,Apache-2.0,2017-05-05 02:27:30.000,2023-12-15 03:22:16.000000,2023-12-15 03:22:08,3454.0,2.0,732.0,108.0,3871.0,533.0,855.0,2594.0,"Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray.",108.0,23,True,2022-01-25 00:22:00.888,0.11.2,418.0,analytics-zoo,,,,['spark'],5.0,4.0,https://pypi.org/project/analytics-zoo,2022-08-22 20:19:01.213,1.0,295.0,295.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +583,Luminoth,tryolabs/luminoth,image,,https://github.com/tryolabs/luminoth,https://github.com/tryolabs/luminoth,BSD-3-Clause,2017-02-16 15:07:46.000,2023-03-24 23:52:00.000000,2020-01-07 20:53:25,838.0,,413.0,130.0,136.0,60.0,128.0,2396.0,Deep Learning toolkit for Computer Vision.,15.0,23,False,2018-11-09 21:35:17.000,0.2.3,10.0,luminoth,,,,['tensorflow'],54.0,52.0,https://pypi.org/project/luminoth,2018-11-09 21:35:17.000,2.0,1600.0,1767.0,,,,,,,,3.0,12716.0,,,,,,,,,,,,,,,,,,,, +584,Kashgari,BrikerMan/Kashgari,nlp,,https://github.com/BrikerMan/Kashgari,https://github.com/BrikerMan/Kashgari,Apache-2.0,2019-01-19 01:53:28.000,2021-07-09 03:57:16.000000,2021-07-09 03:57:16,955.0,,440.0,65.0,122.0,27.0,350.0,2375.0,Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-..,21.0,23,False,2021-07-04 10:44:36.000,2.0.2,24.0,kashgari-tf,,,,['tensorflow'],62.0,62.0,https://pypi.org/project/kashgari-tf,,,39.0,39.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +585,SRU,asappresearch/sru,pytorch-utils,,https://github.com/asappresearch/sru,https://github.com/asappresearch/sru,MIT,2017-08-28 20:37:41.000,2022-01-04 21:17:53.000000,2021-05-19 15:52:48,400.0,,302.0,67.0,78.0,64.0,68.0,2097.0,Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755).,21.0,23,False,2021-05-18 16:13:10.000,2.6.0,32.0,sru,,,,['pytorch'],29.0,26.0,https://pypi.org/project/sru,2021-06-17 23:33:37.000,3.0,2055.0,2055.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +586,Karate Club,benedekrozemberczki/karateclub,graph,,https://github.com/benedekrozemberczki/karateclub,https://github.com/benedekrozemberczki/karateclub,GPL-3.0,2019-12-05 17:35:56.000,2023-11-15 21:03:09.000000,2023-07-01 21:39:32,2288.0,,236.0,37.0,37.0,13.0,109.0,2038.0,Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020).,17.0,23,False,2022-12-04 19:04:05.000,_10304,107.0,karateclub,conda-forge/karateclub,,,,226.0,220.0,https://pypi.org/project/karateclub,2022-10-22 16:17:27.886,6.0,5334.0,5848.0,https://anaconda.org/conda-forge/karateclub,2023-06-16 19:21:04.092,22122.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +587,FinTA,peerchemist/finta,financial-data,,https://github.com/peerchemist/finta,https://github.com/peerchemist/finta,LGPL-3.0,2016-09-01 21:02:46.000,2022-07-24 08:40:51.000000,2022-07-24 08:40:51,394.0,,671.0,82.0,48.0,24.0,64.0,2023.0,Common financial technical indicators implemented in Pandas.,28.0,23,False,2021-04-03 08:51:49.000,1.3,19.0,finta,,,,,480.0,468.0,https://pypi.org/project/finta,2020-10-21 11:39:44.000,12.0,6760.0,6760.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +588,Torchmeta,tristandeleu/pytorch-meta,pytorch-utils,,https://github.com/tristandeleu/pytorch-meta,https://github.com/tristandeleu/pytorch-meta,MIT,2018-12-04 23:36:45.000,2023-07-17 16:05:00.000000,2021-09-20 16:03:46,382.0,,238.0,44.0,33.0,51.0,90.0,1902.0,A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch.,12.0,23,False,2021-09-20 16:06:33.000,1.8.0,28.0,torchmeta,,,,['pytorch'],161.0,161.0,https://pypi.org/project/torchmeta,2021-09-20 16:06:33.000,,3533.0,3533.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +589,fast-bert,utterworks/fast-bert,nlp,,https://github.com/utterworks/fast-bert,https://github.com/utterworks/fast-bert,Apache-2.0,2019-04-18 22:01:20.000,2024-01-30 11:59:18.000000,2024-01-30 11:58:43,345.0,9.0,341.0,42.0,68.0,161.0,95.0,1839.0,Super easy library for BERT based NLP models.,36.0,23,True,2024-01-30 11:59:18.000,2.0.25,71.0,fast-bert,,,,,2.0,,https://pypi.org/project/fast-bert,2024-01-30 11:59:18.000,2.0,1728.0,1728.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +590,Hivemind,learning-at-home/hivemind,distributed-ml,,https://github.com/learning-at-home/hivemind,https://github.com/learning-at-home/hivemind,MIT,2020-02-27 13:50:19.000,2023-12-05 17:37:33.000000,2023-12-04 14:09:45,571.0,2.0,120.0,55.0,447.0,60.0,100.0,1772.0,Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.,29.0,23,True,2023-08-31 20:07:52.000,1.1.10,27.0,hivemind,,,,,94.0,87.0,https://pypi.org/project/hivemind,2023-08-31 20:07:10.000,7.0,4738.0,4738.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +591,hiddenlayer,waleedka/hiddenlayer,ml-experiments,,https://github.com/waleedka/hiddenlayer,https://github.com/waleedka/hiddenlayer,MIT,2018-05-18 22:34:51.000,2024-01-24 15:16:50.000000,2020-04-24 06:58:09,58.0,,255.0,45.0,14.0,57.0,35.0,1755.0,"Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.",6.0,23,False,2018-12-03 04:33:29.000,0.2,3.0,hiddenlayer,,,,"['pytorch', 'tensorflow', 'jupyter']",255.0,244.0,https://pypi.org/project/hiddenlayer,2020-04-24 07:32:11.000,11.0,1349.0,1349.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +592,FARM,deepset-ai/FARM,nlp,,https://github.com/deepset-ai/FARM,https://github.com/deepset-ai/FARM,Apache-2.0,2019-07-17 14:51:12.000,2023-12-20 21:18:02.000000,2022-08-31 09:45:24,594.0,,237.0,53.0,446.0,3.0,402.0,1712.0,Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.,37.0,23,False,2021-06-10 09:45:12.000,0.8.0,22.0,farm,conda-forge/farm,,,['pytorch'],,,https://pypi.org/project/farm,,,1724.0,1818.0,https://anaconda.org/conda-forge/farm,2023-06-16 19:25:45.236,3212.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +593,Talos,autonomio/talos,hyperopt,,https://github.com/autonomio/talos,https://github.com/autonomio/talos,MIT,2018-05-04 20:36:41.000,2023-11-21 03:54:52.000000,2022-09-18 16:01:20,637.0,,268.0,28.0,183.0,9.0,389.0,1600.0,"Hyperparameter Optimization for TensorFlow, Keras and PyTorch.",22.0,23,False,2022-05-28 10:07:13.000,1.3,17.0,talos,,,,['tensorflow'],176.0,168.0,https://pypi.org/project/talos,2022-05-28 10:07:34.000,8.0,856.0,856.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +594,Higher,facebookresearch/higher,pytorch-utils,,https://github.com/facebookresearch/higher,https://github.com/facebookresearch/higher,Apache-2.0,2019-09-06 18:58:36.000,2022-03-25 15:56:51.000000,2021-10-26 07:08:33,31.0,,120.0,28.0,31.0,58.0,50.0,1562.0,higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather..,9.0,23,False,2020-07-14 12:20:32.000,0.2.1,2.0,higher,,,,['pytorch'],385.0,380.0,https://pypi.org/project/higher,2020-07-14 12:20:32.000,5.0,53849.0,53849.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +595,EfficientNets,rwightman/gen-efficientnet-pytorch,pytorch-utils,,https://github.com/rwightman/gen-efficientnet-pytorch,https://github.com/rwightman/gen-efficientnet-pytorch,Apache-2.0,2019-05-11 19:35:56.000,2022-07-01 09:55:35.000000,2021-07-08 19:03:55,108.0,,203.0,45.0,12.0,4.0,51.0,1555.0,"Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS.",5.0,23,False,2021-07-08 19:05:05.000,1.0.2,10.0,geffnet,,,,['pytorch'],208.0,206.0,https://pypi.org/project/geffnet,2021-07-08 19:05:05.000,2.0,5777.0,5777.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +596,fklearn,nubank/fklearn,ml-frameworks,,https://github.com/nubank/fklearn,https://github.com/nubank/fklearn,Apache-2.0,2019-02-27 14:32:57.000,2023-12-07 16:22:32.000000,2023-11-08 21:41:55,157.0,1.0,162.0,102.0,184.0,35.0,25.0,1471.0,fklearn: Functional Machine Learning.,55.0,23,True,2023-11-09 12:59:48.000,3.0.0,31.0,fklearn,,,,,13.0,13.0,https://pypi.org/project/fklearn,2023-11-09 12:59:48.000,,457.0,457.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +597,Pytorch Toolbelt,BloodAxe/pytorch-toolbelt,pytorch-utils,,https://github.com/BloodAxe/pytorch-toolbelt,https://github.com/BloodAxe/pytorch-toolbelt,MIT,2019-03-15 16:02:49.000,2024-01-30 15:08:56.000000,2024-01-30 15:12:06,1185.0,16.0,118.0,28.0,68.0,2.0,29.0,1466.0,PyTorch extensions for fast R&D prototyping and Kaggle farming.,7.0,23,True,2023-08-19 14:26:10.000,0.7.0,29.0,pytorch_toolbelt,,,,['pytorch'],7.0,,https://pypi.org/project/pytorch_toolbelt,2022-06-27 19:59:57.000,7.0,6096.0,6096.0,,,,,,,,3.0,13.0,,,,,,,,,,,,,,,,,,,, +598,CrypTen,facebookresearch/CrypTen,privacy-ml,,https://github.com/facebookresearch/CrypTen,https://github.com/facebookresearch/CrypTen,MIT,2019-08-15 00:00:31.000,2024-01-31 00:08:40.000000,2024-01-06 08:35:06,342.0,2.0,292.0,40.0,253.0,69.0,192.0,1415.0,A framework for Privacy Preserving Machine Learning.,33.0,23,True,2022-12-08 22:11:59.883,0.4.1,3.0,crypten,,,,['pytorch'],34.0,33.0,https://pypi.org/project/crypten,2022-12-08 22:11:59.883,1.0,299.0,299.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +599,sklearn-porter,nok/sklearn-porter,model-serialisation,,https://github.com/nok/sklearn-porter,https://github.com/nok/sklearn-porter,BSD-3-Clause,2016-06-22 22:21:34.000,2022-07-25 15:59:11.000000,2022-05-22 23:59:48,1219.0,,159.0,33.0,22.0,42.0,34.0,1263.0,"Transpile trained scikit-learn estimators to C, Java, JavaScript and others.",12.0,23,False,2019-12-18 13:39:19.000,0.7.4,20.0,sklearn-porter,,,,['sklearn'],62.0,61.0,https://pypi.org/project/sklearn-porter,2019-12-18 13:39:19.000,1.0,358.0,358.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +600,stockstats,jealous/stockstats,financial-data,,https://github.com/jealous/stockstats,https://github.com/jealous/stockstats,,2016-06-05 15:21:22.000,2024-01-05 18:00:58.000000,2024-01-05 18:00:58,67.0,1.0,289.0,55.0,63.0,12.0,109.0,1206.0,Supply a wrapper ``StockDataFrame`` based on the ``pandas.DataFrame`` with inline stock statistics/indicators support.,10.0,23,False,2023-07-30 07:06:31.000,0.6.2,10.0,stockstats,,,,,981.0,981.0,https://pypi.org/project/stockstats,,,9901.0,9901.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +601,FinQuant,fmilthaler/FinQuant,financial-data,,https://github.com/fmilthaler/FinQuant,https://github.com/fmilthaler/FinQuant,MIT,2019-01-20 15:07:19.000,2023-11-04 08:38:31.000000,2023-09-03 19:16:54,508.0,,168.0,32.0,86.0,16.0,32.0,1191.0,"A program for financial portfolio management, analysis and optimisation.",11.0,23,True,2023-09-04 06:57:56.000,0.7.0,15.0,FinQuant,,,,,88.0,88.0,https://pypi.org/project/FinQuant,2023-09-04 06:57:56.000,,531.0,531.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +602,GPUtil,anderskm/gputil,gpu-utilities,,https://github.com/anderskm/gputil,https://github.com/anderskm/gputil,MIT,2017-01-16 11:57:43.000,2023-11-16 19:55:28.000000,2019-08-16 09:00:15,140.0,,106.0,12.0,20.0,16.0,15.0,1040.0,A Python module for getting the GPU status from NVIDA GPUs using nvidia-smi programmically in Python.,13.0,23,False,2018-12-18 09:12:13.000,1.4.0,8.0,gputil,,,,,4876.0,4578.0,https://pypi.org/project/gputil,2018-12-18 09:12:13.000,298.0,410135.0,410135.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +603,keract,philipperemy/keract,interpretability,,https://github.com/philipperemy/keract,https://github.com/philipperemy/keract,MIT,2017-05-17 04:50:57.000,2023-11-17 11:03:05.000000,2023-11-17 10:59:26,412.0,3.0,184.0,34.0,73.0,2.0,86.0,1032.0,Layers Outputs and Gradients in Keras. Made easy.,16.0,23,True,2021-06-19 16:14:57.000,4.5.0,10.0,keract,,,,['tensorflow'],204.0,204.0,https://pypi.org/project/keract,,,3848.0,3848.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +604,YouTokenToMe,vkcom/youtokentome,nlp,,https://github.com/VKCOM/YouTokenToMe,https://github.com/VKCOM/YouTokenToMe,MIT,2019-06-06 11:38:28.000,2024-01-08 07:04:51.000000,2023-03-29 07:39:45,85.0,,82.0,26.0,54.0,36.0,28.0,932.0,Unsupervised text tokenizer focused on computational efficiency.,8.0,23,True,2020-02-13 09:57:47.000,1.0.6,14.0,youtokentome,conda-forge/youtokentome,,,,623.0,600.0,https://pypi.org/project/youtokentome,2020-02-12 18:24:46.000,23.0,38048.0,39445.0,https://anaconda.org/conda-forge/youtokentome,2023-09-27 19:23:04.851,40522.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +605,kapre,keunwoochoi/kapre,audio,,https://github.com/keunwoochoi/kapre,https://github.com/keunwoochoi/kapre,MIT,2016-12-14 18:36:36.000,2023-10-23 02:52:41.000000,2022-07-04 00:10:02,195.0,,149.0,23.0,46.0,15.0,82.0,907.0,kapre: Keras Audio Preprocessors.,13.0,23,False,2022-01-21 20:10:47.000,Kapre-0.3.7,24.0,kapre,,,,['tensorflow'],2373.0,2358.0,https://pypi.org/project/kapre,2022-01-21 20:09:21.000,15.0,1115.0,1115.0,,,,,,,,3.0,26.0,,,,,,,,,,,,,,,,,,,, +606,Pandas-Bokeh,PatrikHlobil/Pandas-Bokeh,data-viz,,https://github.com/PatrikHlobil/Pandas-Bokeh,https://github.com/PatrikHlobil/Pandas-Bokeh,MIT,2018-11-23 20:49:14.000,2023-08-14 23:20:14.000000,2023-03-06 07:52:05,311.0,,107.0,26.0,36.0,34.0,69.0,873.0,Bokeh Plotting Backend for Pandas and GeoPandas.,15.0,23,True,2021-04-11 17:43:13.000,0.5.5,16.0,pandas-bokeh,,,,['pandas'],589.0,577.0,https://pypi.org/project/pandas-bokeh,2021-04-11 17:43:13.000,12.0,20081.0,20081.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +607,TF Compression,tensorflow/compression,tensorflow-utils,,https://github.com/tensorflow/compression,https://github.com/tensorflow/compression,Apache-2.0,2018-05-15 23:32:19.000,2024-01-10 18:21:30.000000,2024-01-10 18:20:54,284.0,8.0,243.0,46.0,18.0,9.0,91.0,797.0,Data compression in TensorFlow.,21.0,23,True,2023-10-13 19:56:17.000,2.14.0,22.0,tensorflow-compression,,,,['tensorflow'],2.0,,https://pypi.org/project/tensorflow-compression,2023-10-12 23:14:15.000,2.0,9610.0,9610.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +608,Objax,google/objax,ml-frameworks,,https://github.com/google/objax,https://github.com/google/objax,Apache-2.0,2020-08-20 06:20:40.000,2024-01-27 00:16:56.000000,2024-01-27 00:08:50,463.0,5.0,78.0,27.0,162.0,51.0,62.0,751.0,Objax is a machine learning framework that provides an Object Oriented layer for JAX.,26.0,23,True,2023-11-06 22:17:30.000,1.8.0,11.0,objax,,,,['jax'],51.0,47.0,https://pypi.org/project/objax,2023-11-06 22:03:10.000,4.0,578.0,578.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +609,python-ternary,marcharper/python-ternary,data-viz,,https://github.com/marcharper/python-ternary,https://github.com/marcharper/python-ternary,MIT,2012-08-07 23:48:55.000,2023-09-26 00:20:33.000000,2023-09-26 00:20:33,398.0,,155.0,17.0,72.0,35.0,106.0,670.0,Ternary plotting library for python with matplotlib.,27.0,23,True,2021-02-17 18:38:15.000,1.0.8,11.0,python-ternary,conda-forge/python-ternary,,,,189.0,162.0,https://pypi.org/project/python-ternary,2021-02-17 18:38:15.000,27.0,41999.0,42841.0,https://anaconda.org/conda-forge/python-ternary,2023-06-16 13:17:10.682,79179.0,,,,,3.0,25.0,,,,,,,,,,,,,,,,,,,, +610,pivottablejs,nicolaskruchten/jupyter_pivottablejs,data-viz,,https://github.com/nicolaskruchten/jupyter_pivottablejs,https://github.com/nicolaskruchten/jupyter_pivottablejs,MIT,2015-09-09 13:39:18.000,2023-12-06 04:45:55.894000,2018-12-04 14:43:25,32.0,,81.0,21.0,8.0,23.0,41.0,639.0,"Dragndrop Pivot Tables and Charts for Jupyter/IPython Notebook, care of PivotTable.js.",3.0,23,False,2018-01-15 18:14:37.000,0.9.0,10.0,pivottablejs,anaconda/pivottablejs,,,['jupyter'],419.0,398.0,https://pypi.org/project/pivottablejs,2018-01-15 18:14:37.000,21.0,18723.0,18752.0,https://anaconda.org/anaconda/pivottablejs,2023-12-06 04:45:55.894,2855.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +611,vega,vega/ipyvega,data-viz,,https://github.com/vega/ipyvega,https://github.com/vega/ipyvega,BSD-3-Clause,2015-08-04 03:22:47.000,2024-02-01 02:10:42.000000,2024-02-01 02:10:41,658.0,8.0,62.0,30.0,443.0,13.0,91.0,366.0,IPython/Jupyter notebook module for Vega and Vega-Lite.,15.0,23,True,2023-07-18 13:09:18.000,4.0.0,40.0,vega,conda-forge/vega,,,['jupyter'],87.0,4.0,https://pypi.org/project/vega,2023-04-12 02:09:01.110,83.0,26049.0,32290.0,https://anaconda.org/conda-forge/vega,2023-06-16 13:18:03.216,574231.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +612,prettymaps,marceloprates/prettymaps,geospatial-data,,https://github.com/marceloprates/prettymaps,https://github.com/marceloprates/prettymaps,AGPL-3.0,2021-03-05 12:22:05.000,2023-11-05 11:43:31.000000,2023-02-15 20:15:59,196.0,,489.0,83.0,37.0,53.0,26.0,10689.0,"A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely..",15.0,22,False,2023-02-15 20:19:00.626,1.0.0,12.0,prettymaps,conda-forge/prettymaps,,,,43.0,43.0,https://pypi.org/project/prettymaps,2021-10-19 13:33:43.000,,793.0,884.0,https://anaconda.org/conda-forge/prettymaps,2023-06-18 08:40:31.986,2288.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +613,cortex,cortexlabs/cortex,model-serialisation,,https://github.com/cortexlabs/cortex,https://github.com/cortexlabs/cortex,Apache-2.0,2019-01-24 04:43:14.000,2023-06-16 18:03:39.000000,2023-03-04 05:19:44,2327.0,,606.0,145.0,1362.0,118.0,986.0,7975.0,Production infrastructure for machine learning at scale.,25.0,22,True,2022-09-23 18:01:31.000,0.42.1,63.0,cortex,,,,,1.0,,https://pypi.org/project/cortex,2022-09-23 17:40:01.770,1.0,850.0,850.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +614,Dejavu,worldveil/dejavu,audio,,https://github.com/worldveil/dejavu,https://github.com/worldveil/dejavu,MIT,2013-11-19 02:50:35.000,2023-08-23 18:39:43.000000,2020-06-03 05:58:03,146.0,,1379.0,262.0,68.0,115.0,135.0,6243.0,Audio fingerprinting and recognition in Python.,23.0,22,False,2015-04-19 21:20:16.000,0.1.3,4.0,PyDejavu,,,,,24.0,21.0,https://pypi.org/project/PyDejavu,2015-04-19 21:20:16.000,3.0,97.0,97.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +615,graph-nets,deepmind/graph_nets,graph,,https://github.com/google-deepmind/graph_nets,https://github.com/google-deepmind/graph_nets,Apache-2.0,2018-08-31 08:19:28.000,2022-12-12 11:28:07.000000,2022-12-12 11:28:07,48.0,,779.0,224.0,25.0,8.0,122.0,5324.0,Build Graph Nets in Tensorflow.,11.0,22,False,2020-01-29 16:00:25.000,1.1.0,7.0,graph-nets,,,,['tensorflow'],28.0,20.0,https://pypi.org/project/graph-nets,2020-01-29 16:00:25.000,8.0,2431.0,2431.0,,,,,,,,3.0,,,,google-deepmind/graph_nets,,,,,,,,,,,,,,,,, +616,DeepMatcher,anhaidgroup/deepmatcher,nlp,,https://github.com/anhaidgroup/deepmatcher,https://github.com/anhaidgroup/deepmatcher,BSD-3-Clause,2017-12-01 19:01:11.000,2023-05-02 04:54:25.000000,2021-06-13 00:22:13,176.0,,1707.0,19.0,17.0,70.0,24.0,4899.0,Python package for performing Entity and Text Matching using Deep Learning.,7.0,22,False,2021-05-27 22:28:29.000,0.1.2,13.0,deepmatcher,,,,,25.0,25.0,https://pypi.org/project/deepmatcher,2021-06-13 01:13:24.000,,2792.0,2792.0,,,,,,,,3.0,,5.0,,,,,,,,,,,,,,,,,,, +617,mace,XiaoMi/mace,ml-frameworks,,https://github.com/XiaoMi/mace,https://github.com/XiaoMi/mace,Apache-2.0,2018-06-27 03:50:12.000,2023-04-10 13:46:12.000000,2022-05-30 07:32:06,3344.0,,820.0,233.0,109.0,57.0,620.0,4846.0,MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.,69.0,22,False,2022-01-13 09:55:14.000,1.1.1,12.0,,,,,,,,,,,,22.0,,,,,,,,3.0,1501.0,,,,,,,,,,,,,,,,,,,, +618,Backtesting.py,kernc/backtesting.py,financial-data,,https://github.com/kernc/backtesting.py,https://github.com/kernc/backtesting.py,AGPL-3.0,2019-01-02 03:11:32.000,2024-01-31 10:41:02.000000,2023-01-15 11:37:16,279.0,,862.0,110.0,96.0,122.0,349.0,4513.0,Backtest trading strategies in Python.,19.0,22,False,2021-12-13 01:36:44.000,0.3.3,21.0,backtesting,,,,,2.0,,https://pypi.org/project/backtesting,2021-12-13 01:36:44.000,2.0,13373.0,13373.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +619,deep-daze,lucidrains/deep-daze,image,,https://github.com/lucidrains/deep-daze,https://github.com/lucidrains/deep-daze,MIT,2021-01-17 06:00:50.000,2022-03-13 19:09:13.000000,2022-03-13 19:08:59,231.0,,324.0,75.0,37.0,93.0,74.0,4383.0,Simple command line tool for text to image generation using OpenAIs CLIP and Siren (Implicit neural representation..,14.0,22,False,2022-03-13 19:09:13.000,0.11.1,67.0,deep-daze,,,,,51.0,51.0,https://pypi.org/project/deep-daze,,,574.0,574.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +620,neon,NervanaSystems/neon,ml-frameworks,,https://github.com/NervanaSystems/neon,https://github.com/NervanaSystems/neon,Apache-2.0,2014-10-16 01:00:17.000,2023-06-16 13:24:50.216000,2019-05-22 18:27:54,1118.0,,824.0,330.0,89.0,91.0,306.0,3866.0,Intel Nervana reference deep learning framework committed to best performance on all hardware.,108.0,22,False,2018-01-05 23:25:04.000,2.6.0,32.0,nervananeon,anaconda/neon,,,,1.0,,https://pypi.org/project/nervananeon,2018-01-05 23:25:04.000,1.0,103.0,127.0,https://anaconda.org/anaconda/neon,2023-06-16 13:24:50.216,1869.0,,,,,3.0,384.0,,,,,,,,,,,,,,,,,,,, +621,gpt-2-simple,minimaxir/gpt-2-simple,nlp,,https://github.com/minimaxir/gpt-2-simple,https://github.com/minimaxir/gpt-2-simple,MIT,2019-04-13 20:00:52.000,2022-12-14 11:50:45.000000,2022-05-22 02:02:04,149.0,,654.0,77.0,53.0,176.0,101.0,3359.0,Python package to easily retrain OpenAIs GPT-2 text-generating model on new texts.,21.0,22,False,2021-10-18 02:38:39.000,0.8.1,18.0,gpt-2-simple,,,,['tensorflow'],7.0,,https://pypi.org/project/gpt-2-simple,2021-10-18 01:47:20.000,7.0,3195.0,3204.0,,,,,,,,3.0,547.0,,,,,,,,,,,,,,,,,,,, +622,finmarketpy,cuemacro/finmarketpy,financial-data,,https://github.com/cuemacro/finmarketpy,https://github.com/cuemacro/finmarketpy,Apache-2.0,2015-02-19 23:32:03.000,2024-01-01 21:29:17.000000,2024-01-01 21:13:34,684.0,1.0,497.0,215.0,16.0,24.0,4.0,3292.0,Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians).,14.0,22,True,2024-01-01 21:29:17.000,0.11.13,14.0,finmarketpy,,,,,11.0,11.0,https://pypi.org/project/finmarketpy,2024-01-01 21:29:17.000,,246.0,246.0,,,,,,,,3.0,51.0,,,,,,,,,,,,,,,,,,,, +623,vissl,facebookresearch/vissl,image,,https://github.com/facebookresearch/vissl,https://github.com/facebookresearch/vissl,MIT,2020-04-09 19:40:33.000,2024-01-26 14:50:51.000000,2024-01-26 14:45:27,410.0,4.0,324.0,52.0,413.0,79.0,106.0,3191.0,"VISSL is FAIRs library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.",38.0,22,True,2021-11-02 17:21:02.000,0.1.6,6.0,vissl,,,,['pytorch'],35.0,34.0,https://pypi.org/project/vissl,2021-11-02 15:36:07.000,1.0,125.0,125.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +624,Apache Singa,apache/singa,distributed-ml,,https://github.com/apache/singa,https://github.com/apache/singa,Apache-2.0,2015-04-02 07:00:05.000,2024-01-31 05:20:55.000000,2023-11-05 09:58:06,2685.0,3.0,1063.0,132.0,1031.0,53.0,72.0,3043.0,a distributed deep learning platform.,85.0,22,True,2020-04-21 08:01:08.000,3.0.0,16.0,,nusdbsystem/singa,apache/singa,,,3.0,3.0,,,,,60.0,https://anaconda.org/nusdbsystem/singa,2023-06-16 13:23:56.805,734.0,https://hub.docker.com/r/apache/singa,2022-05-31 15:24:19.649658,4.0,5616.0,3.0,,,,,,,,,,,,,,,,,,,,, +625,opyrator,ml-tooling/opyrator,others,,https://github.com/ml-tooling/opyrator,https://github.com/ml-tooling/opyrator,MIT,2021-04-06 08:09:06.000,2024-01-31 02:00:48.000000,2021-05-06 12:10:38,127.0,,153.0,50.0,58.0,2.0,30.0,2991.0,"Turns your machine learning code into microservices with web API, interactive GUI, and more.",4.0,22,False,2021-05-04 18:48:03.000,0.0.12,11.0,opyrator,conda-forge/opyrator,,,,47.0,47.0,https://pypi.org/project/opyrator,2021-05-04 18:48:03.000,,448.0,504.0,https://anaconda.org/conda-forge/opyrator,2023-06-18 08:40:31.958,1411.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +626,Texar,asyml/texar,nlp,,https://github.com/asyml/texar,https://github.com/asyml/texar,Apache-2.0,2017-07-22 19:02:05.000,2021-08-26 09:49:50.000000,2020-07-29 00:38:30,1719.0,,372.0,80.0,144.0,33.0,126.0,2379.0,"Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the..",43.0,22,False,2019-11-19 03:54:40.000,0.2.4,6.0,texar,,,,['tensorflow'],27.0,27.0,https://pypi.org/project/texar,,,38.0,38.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +627,ecco,jalammar/ecco,interpretability,,https://github.com/jalammar/ecco,https://github.com/jalammar/ecco,BSD-3-Clause,2020-11-07 10:06:34.000,2024-01-30 02:43:49.000000,2023-08-10 17:09:47,309.0,,154.0,24.0,33.0,29.0,31.0,1859.0,"Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter..",11.0,22,True,2022-01-09 21:17:53.000,0.1.2,18.0,ecco,conda-forge/ecco,,,['pytorch'],29.0,28.0,https://pypi.org/project/ecco,2022-01-09 21:14:50.000,1.0,302.0,469.0,https://anaconda.org/conda-forge/ecco,2023-06-16 19:28:19.211,4338.0,,,,,3.0,72.0,,,,,,,,,,,,,,,,,,,, +628,greykite,linkedin/greykite,time-series-data,,https://github.com/linkedin/greykite,https://github.com/linkedin/greykite,BSD-2-Clause,2021-04-27 17:05:53.000,2024-01-18 18:33:20.000000,2024-01-16 17:27:35,27.0,1.0,101.0,37.0,30.0,23.0,78.0,1767.0,"A flexible, intuitive and fast forecasting library.",10.0,22,True,2024-01-18 18:33:20.000,1.0.0,6.0,greykite,,,,,26.0,26.0,https://pypi.org/project/greykite,,,11768.0,11768.0,,,,,,,,3.0,9.0,,,,,,,,,,,,,,,,,,,, +629,DIG,divelab/DIG,graph,,https://github.com/divelab/DIG,https://github.com/divelab/DIG,GPL-3.0,2020-10-30 03:51:15.000,2024-01-22 23:28:04.000000,2024-01-22 23:28:01,1080.0,7.0,262.0,33.0,37.0,24.0,175.0,1717.0,A library for graph deep learning research.,49.0,22,False,2023-04-07 20:33:15.000,1.1.0,10.0,dig,,,,,8.0,,https://pypi.org/project/dig,2015-08-23 10:30:20.000,8.0,400.0,400.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +630,sklearn-contrib-lightning,scikit-learn-contrib/lightning,sklearn-utils,,https://github.com/scikit-learn-contrib/lightning,https://github.com/scikit-learn-contrib/lightning,BSD-3-Clause,2012-01-11 13:53:52.000,2023-07-18 11:41:11.000000,2022-01-30 01:22:30,743.0,,209.0,38.0,111.0,54.0,42.0,1695.0,"Large-scale linear classification, regression and ranking in Python.",17.0,22,False,2022-01-30 01:10:13.000,0.6.2.post0,12.0,sklearn-contrib-lightning,conda-forge/sklearn-contrib-lightning,,,['sklearn'],156.0,147.0,https://pypi.org/project/sklearn-contrib-lightning,2022-01-30 00:43:43.000,9.0,1448.0,3699.0,https://anaconda.org/conda-forge/sklearn-contrib-lightning,2023-06-16 13:18:02.734,203834.0,,,,,3.0,411.0,,,,,,,,,,,,,,,,,,,, +631,auto_ml,ClimbsRocks/auto_ml,hyperopt,,https://github.com/ClimbsRocks/auto_ml,https://github.com/ClimbsRocks/auto_ml,MIT,2016-08-07 21:35:08.000,2021-02-10 07:52:35.000000,2018-03-25 19:46:25,1149.0,,311.0,98.0,45.0,187.0,216.0,1633.0,[UNMAINTAINED] Automated machine learning for analytics & production.,13.0,22,False,2018-02-22 01:13:03.000,2.9.10,78.0,auto_ml,,,,,9.0,2.0,https://pypi.org/project/auto_ml,2018-02-22 01:13:03.000,7.0,452.0,452.0,,,,,,,,3.0,42.0,,,,,,,,,,,,,,,,,,,, +632,Magnitude,plasticityai/magnitude,nn-search,,https://github.com/plasticityai/magnitude,https://github.com/plasticityai/magnitude,MIT,2018-02-24 07:28:16.000,2023-08-03 00:59:57.000000,2020-07-17 20:19:46,350.0,,115.0,39.0,11.0,33.0,51.0,1611.0,"A fast, efficient universal vector embedding utility package.",4.0,22,False,2020-05-25 11:26:36.000,0.1.143,128.0,pymagnitude,,,,,344.0,332.0,https://pypi.org/project/pymagnitude,2020-05-25 11:26:36.000,12.0,1007.0,1007.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +633,jiant,nyu-mll/jiant,nlp,,https://github.com/nyu-mll/jiant,https://github.com/nyu-mll/jiant,MIT,2018-06-18 18:12:47.000,2023-07-06 22:00:38.000000,2022-10-17 19:34:56,1930.0,,289.0,46.0,801.0,71.0,485.0,1586.0,jiant is an nlp toolkit.,60.0,22,False,2021-05-10 18:56:39.000,2.2.0,19.0,jiant,,,,,3.0,3.0,https://pypi.org/project/jiant,2021-05-10 18:56:39.000,,103.0,103.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +634,Mesh,tensorflow/mesh,distributed-ml,,https://github.com/tensorflow/mesh,https://github.com/tensorflow/mesh,Apache-2.0,2018-09-20 20:23:34.000,2023-11-17 19:39:54.000000,2023-11-17 19:39:45,658.0,1.0,259.0,50.0,312.0,99.0,17.0,1497.0,Mesh TensorFlow: Model Parallelism Made Easier.,50.0,22,True,2022-05-15 21:06:13.000,0.1.21,27.0,mesh-tensorflow,,,,['tensorflow'],30.0,,https://pypi.org/project/mesh-tensorflow,2022-05-15 21:06:13.000,30.0,21053.0,21053.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +635,advertorch,BorealisAI/advertorch,adversarial,,https://github.com/BorealisAI/advertorch,https://github.com/BorealisAI/advertorch,GPL-3.0,2018-11-29 22:17:33.000,2023-09-14 02:51:02.000000,2022-05-29 19:09:18,309.0,,188.0,27.0,57.0,21.0,36.0,1249.0,A Toolbox for Adversarial Robustness Research.,21.0,22,False,2020-06-15 01:20:07.000,0.2.3,10.0,advertorch,,,,['pytorch'],156.0,151.0,https://pypi.org/project/advertorch,2020-06-15 01:20:07.000,5.0,573.0,573.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +636,NGT,yahoojapan/NGT,nn-search,,https://github.com/yahoojapan/NGT,https://github.com/yahoojapan/NGT,Apache-2.0,2016-09-01 07:36:57.000,2023-12-06 23:24:36.000000,2023-12-06 23:22:36,184.0,3.0,108.0,37.0,25.0,17.0,114.0,1158.0,Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data.,14.0,22,True,2023-12-06 23:27:18.000,2.1.6,79.0,ngt,,,,,8.0,,https://pypi.org/project/ngt,2023-12-06 05:33:15.000,8.0,5074.0,5074.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +637,pytorch_tabular,manujosephv/pytorch_tabular,tabular,,https://github.com/manujosephv/pytorch_tabular,https://github.com/manujosephv/pytorch_tabular,MIT,2020-12-15 07:17:03.000,2024-02-01 11:21:15.000000,2024-01-30 00:53:52,532.0,82.0,123.0,20.0,244.0,6.0,121.0,1145.0,A standard framework for modelling Deep Learning Models for tabular data.,19.0,22,True,2024-01-15 12:17:19.000,1.1.0,5.0,pytorch_tabular,,,,['pytorch'],,,https://pypi.org/project/pytorch_tabular,,,4055.0,4055.0,,,,,,,,1.0,22.0,,,,,,,,,,,,,,,,,,,, +638,calamari,Calamari-OCR/calamari,ocr,,https://github.com/Calamari-OCR/calamari,https://github.com/Calamari-OCR/calamari,Apache-2.0,2018-03-20 15:22:29.000,2024-01-21 21:15:50.000000,2023-08-18 11:01:23,442.0,,210.0,54.0,86.0,64.0,206.0,1015.0,Line based ATR Engine based on OCRopy.,20.0,22,True,2023-08-18 11:50:18.000,1.0.6,41.0,calamari_ocr,,,,,5.0,,https://pypi.org/project/calamari_ocr,2023-08-18 11:50:18.000,5.0,2067.0,2067.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +639,tf-explain,sicara/tf-explain,interpretability,,https://github.com/sicara/tf-explain,https://github.com/sicara/tf-explain,MIT,2019-07-15 08:26:24.000,2022-06-30 08:14:18.000000,2022-06-30 08:14:18,208.0,,109.0,51.0,98.0,41.0,51.0,1008.0,Interpretability Methods for tf.keras models with Tensorflow 2.x.,18.0,22,False,2021-11-18 20:57:29.000,0.3.1,8.0,tf-explain,,,,['tensorflow'],215.0,207.0,https://pypi.org/project/tf-explain,2021-11-18 20:57:29.000,8.0,1949.0,1949.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +640,AstroML,astroML/astroML,others,,https://github.com/astroML/astroML,https://github.com/astroML/astroML,BSD-2-Clause,2012-10-17 22:33:50.000,2024-01-27 00:07:06.000000,2024-01-04 20:41:21,582.0,2.0,291.0,97.0,121.0,62.0,96.0,995.0,"Machine learning, statistics, and data mining for astronomy and astrophysics.",31.0,22,True,2022-01-25 21:56:31.000,1.0.2,13.0,astroML,conda-forge/astroml,,,['sklearn'],37.0,,https://pypi.org/project/astroML,2022-03-01 20:02:01.000,37.0,1121.0,1661.0,https://anaconda.org/conda-forge/astroml,2023-06-16 13:21:24.079,42184.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +641,What-If Tool,PAIR-code/what-if-tool,interpretability,,https://github.com/PAIR-code/what-if-tool,https://github.com/PAIR-code/what-if-tool,Apache-2.0,2018-09-07 20:26:10.000,2024-01-09 01:44:29.000000,2023-04-27 23:44:02,329.0,,158.0,29.0,109.0,80.0,56.0,868.0,Source code/webpage/demos for the What-If Tool.,20.0,22,True,2021-10-12 17:42:50.869,1.8.1,40.0,witwidget,conda-forge/tensorboard-plugin-wit,,,,8.0,2.0,https://pypi.org/project/witwidget,2021-10-12 17:42:30.000,4.0,2442.0,51984.0,https://anaconda.org/conda-forge/tensorboard-plugin-wit,2023-06-16 19:20:28.498,2124133.0,,,,,3.0,,,,,wit-widget,https://www.npmjs.com/package/wit-widget,2021-10-12 17:42:50.869,2.0,1267.0,,,,,,,,,,,, +642,Guild AI,guildai/guildai,ml-experiments,,https://github.com/guildai/guildai,https://github.com/guildai/guildai,Apache-2.0,2017-09-27 18:57:50.000,2023-08-14 08:41:19.000000,2023-08-12 20:19:05,5777.0,,83.0,14.0,77.0,219.0,218.0,848.0,"Experiment tracking, ML developer tools.",29.0,22,True,2023-02-25 17:16:57.621,0.9.0,186.0,guildai,,,,,89.0,89.0,https://pypi.org/project/guildai,2022-05-11 01:13:31.000,,598.0,598.0,,,,,,,,3.0,14.0,,,,,,,,,,,,,,,,,,,, +643,icevision,airctic/icevision,image,,https://github.com/airctic/icevision,https://github.com/airctic/icevision,Apache-2.0,2020-05-04 01:57:02.000,2023-10-07 18:05:54.000000,2022-12-07 13:45:45,1234.0,,135.0,25.0,594.0,62.0,511.0,838.0,"An Agnostic Computer Vision Framework - Pluggable to any Training Library: Fastai, Pytorch-Lightning with more to come.",41.0,22,False,2022-02-10 15:55:46.374,0.12.0,41.0,icevision,,,,,6.0,,https://pypi.org/project/icevision,2022-02-10 15:55:46.374,6.0,3252.0,3252.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +644,Baal,baal-org/baal,probabilistics,,https://github.com/baal-org/baal,https://github.com/baal-org/baal,Apache-2.0,2019-09-30 20:16:26.000,2023-12-29 17:18:10.000000,2023-12-02 22:09:25,222.0,2.0,82.0,19.0,153.0,24.0,82.0,823.0,Library to enable Bayesian active learning in your research or labeling work.,21.0,22,True,2023-10-02 19:58:51.000,1.9.1,19.0,baal,conda-forge/baal,,,,54.0,53.0,https://pypi.org/project/baal,2023-10-02 19:57:48.000,1.0,1070.0,1279.0,https://anaconda.org/conda-forge/baal,2023-06-12 15:14:19.747,7733.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +645,mlens,flennerhag/mlens,others,,https://github.com/flennerhag/mlens,https://github.com/flennerhag/mlens,MIT,2017-01-10 20:53:47.000,2023-11-13 16:09:34.000000,2020-02-25 14:31:53,879.0,,102.0,29.0,60.0,22.0,74.0,822.0,ML-Ensemble high performance ensemble learning.,7.0,22,False,2018-10-30 22:34:35.000,0.2.3,14.0,mlens,,,,,368.0,364.0,https://pypi.org/project/mlens,2018-10-30 22:30:43.000,4.0,2965.0,2965.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +646,iterative-stratification,trent-b/iterative-stratification,sklearn-utils,,https://github.com/trent-b/iterative-stratification,https://github.com/trent-b/iterative-stratification,BSD-3-Clause,2018-02-04 00:32:10.000,2022-06-06 22:38:33.000000,2022-06-06 22:38:33,57.0,,75.0,6.0,5.0,4.0,23.0,812.0,scikit-learn cross validators for iterative stratification of multilabel data.,7.0,22,False,2021-10-03 18:49:49.000,0.1.7,6.0,iterative-stratification,,,,['sklearn'],416.0,403.0,https://pypi.org/project/iterative-stratification,2021-10-03 18:49:49.000,13.0,131646.0,131646.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +647,TSFEL,fraunhoferportugal/tsfel,time-series-data,,https://github.com/fraunhoferportugal/tsfel,https://github.com/fraunhoferportugal/tsfel,BSD-3-Clause,2019-01-09 16:41:30.000,2024-01-31 18:05:24.000000,2023-11-24 10:43:28,313.0,6.0,129.0,20.0,73.0,5.0,64.0,792.0,An intuitive library to extract features from time series.,18.0,22,True,2023-08-23 07:53:53.000,0.1.6,10.0,tsfel,,,,,111.0,111.0,https://pypi.org/project/tsfel,2023-08-22 10:46:05.000,,22588.0,22588.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +648,NeoML,neoml-lib/neoml,ml-frameworks,,https://github.com/neoml-lib/neoml,https://github.com/neoml-lib/neoml,Apache-2.0,2020-06-14 17:37:36.000,2024-01-29 11:56:33.000000,2024-01-24 09:35:21,1149.0,35.0,123.0,30.0,965.0,37.0,50.0,752.0,Machine learning framework for both deep learning and traditional algorithms.,35.0,22,True,2023-12-26 02:42:15.000,2.0.210,15.0,neoml,,,,,,,https://pypi.org/project/neoml,2023-12-26 02:42:15.000,,347.0,347.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +649,Test Tube,williamFalcon/test-tube,hyperopt,,https://github.com/williamFalcon/test-tube,https://github.com/williamFalcon/test-tube,MIT,2017-09-06 02:14:57.000,2022-07-22 06:10:37.000000,2020-03-17 22:44:47,642.0,,74.0,26.0,37.0,25.0,21.0,734.0,Python library to easily log experiments and parallelize hyperparameter search for neural networks.,16.0,22,False,2019-12-01 01:19:50.000,0.7.5,64.0,test_tube,,,,,26.0,,https://pypi.org/project/test_tube,2019-12-01 01:19:50.000,26.0,73940.0,73940.0,,,,,,,,3.0,18.0,,,,,,,,,,,,,,,,,,,, +650,vecstack,vecxoz/vecstack,others,,https://github.com/vecxoz/vecstack,https://github.com/vecxoz/vecstack,MIT,2016-11-08 13:23:21.000,2023-06-16 19:26:00.374000,2019-10-30 09:27:48,189.0,,81.0,21.0,12.0,,38.0,683.0,Python package for stacking (machine learning technique).,1.0,22,False,2019-08-12 16:09:01.000,0.4.0,6.0,vecstack,conda-forge/vecstack,,,,386.0,380.0,https://pypi.org/project/vecstack,2019-08-12 16:01:22.000,6.0,23647.0,23703.0,https://anaconda.org/conda-forge/vecstack,2023-06-16 19:26:00.374,1874.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +651,BioPandas,rasbt/biopandas,others,,https://github.com/BioPandas/biopandas,https://github.com/BioPandas/biopandas,BSD-3-Clause,2015-11-21 00:00:14.000,2023-09-19 18:44:18.000000,2023-09-19 18:44:18,355.0,,118.0,19.0,78.0,23.0,33.0,662.0,Working with molecular structures in pandas DataFrames.,15.0,22,True,2023-08-28 15:31:05.000,0.5.1de,20.0,biopandas,conda-forge/biopandas,,,['pandas'],250.0,227.0,https://pypi.org/project/biopandas,2023-08-28 15:32:25.000,23.0,82717.0,84443.0,https://anaconda.org/conda-forge/biopandas,2023-06-16 13:21:19.340,148450.0,,,,,3.0,,,,BioPandas/biopandas,,,,,,,,,,,,,,,,, +652,HpBandSter,automl/HpBandSter,hyperopt,,https://github.com/automl/HpBandSter,https://github.com/automl/HpBandSter,BSD-3-Clause,2017-12-17 20:28:20.000,2023-06-16 19:24:00.330000,2022-04-22 06:33:31,188.0,,111.0,27.0,23.0,57.0,35.0,597.0,a distributed Hyperband implementation on Steroids.,11.0,22,False,2019-07-30 12:47:43.000,1.0,8.0,hpbandster,conda-forge/hpbandster,,,,426.0,404.0,https://pypi.org/project/hpbandster,2018-11-06 12:56:55.000,22.0,11835.0,12316.0,https://anaconda.org/conda-forge/hpbandster,2023-06-16 19:24:00.330,18311.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +653,random-forest-importances,parrt/random-forest-importances,interpretability,,https://github.com/parrt/random-forest-importances,https://github.com/parrt/random-forest-importances,MIT,2018-03-22 19:20:13.000,2023-11-18 04:12:38.000000,2021-01-30 21:50:02,249.0,,130.0,23.0,19.0,8.0,29.0,578.0,Code to compute permutation and drop-column importances in Python scikit-learn models.,14.0,22,False,2021-01-28 23:23:17.000,1.3.7,22.0,rfpimp,,,,['sklearn'],141.0,136.0,https://pypi.org/project/rfpimp,2021-01-28 23:19:33.000,5.0,22714.0,22714.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +654,skope-rules,scikit-learn-contrib/skope-rules,sklearn-utils,,https://github.com/scikit-learn-contrib/skope-rules,https://github.com/scikit-learn-contrib/skope-rules,BSD-1-Clause,2018-02-18 13:42:47.000,2024-01-31 14:01:51.000000,2023-02-14 11:18:28,249.0,,90.0,26.0,32.0,28.0,6.0,571.0,machine learning with logical rules in Python.,19.0,22,False,2020-12-11 09:37:02.000,1.0.1,4.0,skope-rules,,,,['sklearn'],367.0,360.0,https://pypi.org/project/skope-rules,2020-01-25 12:01:37.000,7.0,17115.0,17115.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +655,MedPy,loli/medpy,medical-data,,https://github.com/loli/medpy,https://github.com/loli/medpy,GPL-3.0,2012-05-11 10:57:34.000,2024-01-28 11:51:26.000000,2023-12-07 19:31:40,331.0,2.0,131.0,20.0,44.0,13.0,80.0,534.0,Medical image processing in Python.,18.0,22,False,2019-02-14 17:12:59.000,0.4.0,6.0,MedPy,conda-forge/medpy,,,,1729.0,1684.0,https://pypi.org/project/MedPy,2019-02-14 17:12:59.000,45.0,17133.0,17834.0,https://anaconda.org/conda-forge/medpy,2023-11-26 21:20:01.088,22459.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +656,small-text,webis-de/small-text,nlp,,https://github.com/webis-de/small-text,https://github.com/webis-de/small-text,MIT,2021-05-24 08:06:41.000,2024-01-21 21:20:26.000000,2023-12-29 21:08:41,477.0,31.0,55.0,26.0,9.0,13.0,32.0,512.0,Active Learning for Text Classification in Python.,6.0,22,True,2023-12-29 21:23:01.000,1.3.3,20.0,small-text,conda-forge/small-text,,,"['sklearn', 'pytorch']",25.0,25.0,https://pypi.org/project/small-text,2023-12-29 21:17:11.000,,448.0,722.0,https://anaconda.org/conda-forge/small-text,2023-12-29 21:40:00.838,5215.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +657,happy-transformer,EricFillion/happy-transformer,nlp,,https://github.com/EricFillion/happy-transformer,https://github.com/EricFillion/happy-transformer,Apache-2.0,2019-10-06 22:02:12.000,2023-08-10 03:20:53.000000,2023-08-10 03:20:53,1214.0,,63.0,7.0,206.0,18.0,109.0,487.0,Happy Transformer makes it easy to fine-tune and perform inference with NLP Transformer models.,14.0,22,True,2023-08-07 03:02:27.000,3.0.0,40.0,happytransformer,,,,['huggingface'],228.0,223.0,https://pypi.org/project/happytransformer,2023-08-05 22:54:02.000,5.0,3231.0,3231.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +658,Quantus,understandable-machine-intelligence-lab/quantus,interpretability,,https://github.com/understandable-machine-intelligence-lab/Quantus,https://github.com/understandable-machine-intelligence-lab/Quantus,GPL-3.0,2021-03-18 15:04:58.000,2024-01-29 09:56:24.000000,2024-01-25 15:17:04,1697.0,69.0,64.0,6.0,200.0,44.0,78.0,462.0,Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations.,19.0,22,False,2023-12-05 11:42:47.000,0.5.3,27.0,quantus,,,,,22.0,21.0,https://pypi.org/project/quantus,2023-12-05 11:42:47.000,1.0,547.0,553.0,,,,,,,,3.0,148.0,,,,,,,,,,,,,,,,,,,, +659,tick,X-DataInitiative/tick,time-series-data,,https://github.com/X-DataInitiative/tick,https://github.com/X-DataInitiative/tick,BSD-3-Clause,2016-12-01 10:59:08.000,2024-01-29 11:47:35.000000,2023-03-05 00:16:57,419.0,,96.0,36.0,276.0,69.0,173.0,456.0,"Module for statistical learning, with a particular emphasis on time-dependent modelling.",19.0,22,True,2019-09-11 11:25:15.000,0.6,23.0,tick,,,,,76.0,74.0,https://pypi.org/project/tick,2020-05-24 22:01:17.000,2.0,1281.0,1284.0,,,,,,,,3.0,295.0,,,,,,,,,,,,,,,,,,,, +660,chefboost,serengil/chefboost,ml-frameworks,,https://github.com/serengil/chefboost,https://github.com/serengil/chefboost,MIT,2019-03-06 12:26:27.000,2023-12-26 14:50:12.000000,2023-12-26 14:50:08,383.0,20.0,96.0,18.0,9.0,5.0,38.0,431.0,"A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4.5, CART, CHAID and Regression Trees; some..",7.0,22,True,2022-02-16 06:14:54.000,0.0.17,17.0,chefboost,,,,,51.0,51.0,https://pypi.org/project/chefboost,2022-02-16 06:14:54.000,,1839.0,1839.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +661,sklearn-crfsuite,TeamHG-Memex/sklearn-crfsuite,sklearn-utils,,https://github.com/TeamHG-Memex/sklearn-crfsuite,https://github.com/TeamHG-Memex/sklearn-crfsuite,,2015-11-26 21:15:41.000,2023-09-25 19:44:09.000000,2019-12-05 08:17:22,46.0,,211.0,22.0,17.0,34.0,23.0,422.0,scikit-learn inspired API for CRFsuite.,6.0,22,False,,,1.0,sklearn-crfsuite,conda-forge/sklearn-crfsuite,,,['sklearn'],7330.0,7330.0,https://pypi.org/project/sklearn-crfsuite,,,185203.0,186067.0,https://anaconda.org/conda-forge/sklearn-crfsuite,2023-06-16 19:18:37.991,39751.0,,,,,3.0,,-4.0,,,,,,,,,,,,,,,,,,, +662,SUOD,yzhao062/SUOD,others,,https://github.com/yzhao062/SUOD,https://github.com/yzhao062/SUOD,BSD-2-Clause,2019-11-20 00:23:54.000,2023-11-19 21:07:53.000000,2023-11-19 20:49:10,166.0,4.0,47.0,17.0,2.0,9.0,3.0,365.0,(MLSys 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection).,3.0,22,True,2023-11-19 21:07:53.000,0.1.1,12.0,suod,,,,,502.0,500.0,https://pypi.org/project/suod,2023-11-19 21:07:53.000,2.0,11146.0,11146.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +663,upgini,upgini/upgini,tabular,,https://github.com/upgini/upgini,https://github.com/upgini/upgini,BSD-3-Clause,2021-12-08 21:53:58.000,2024-02-01 08:23:57.000000,2024-02-01 08:23:40,693.0,54.0,24.0,4.0,263.0,4.0,,274.0,Data search & enrichment library for Machine Learning Easily find and add relevant features to your ML & AI pipeline..,12.0,22,False,2024-02-01 08:23:57.000,1.1.245,594.0,upgini,,,,,5.0,5.0,https://pypi.org/project/upgini,2024-02-01 08:23:57.000,,8152.0,8152.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,, +664,py3nvml,fbcotter/py3nvml,gpu-utilities,,https://github.com/fbcotter/py3nvml,https://github.com/fbcotter/py3nvml,BSD-3-Clause,2016-11-21 01:07:37.000,2023-09-25 06:14:21.168000,2022-04-14 09:41:50,86.0,,33.0,13.0,9.0,4.0,12.0,229.0,Python 3 Bindings for NVML library. Get NVIDIA GPU status inside your program.,9.0,22,False,2021-11-22 14:30:25.000,0.2.7,14.0,py3nvml,conda-forge/py3nvml,,,,1016.0,970.0,https://pypi.org/project/py3nvml,2021-11-22 14:30:25.000,46.0,86015.0,87419.0,https://anaconda.org/conda-forge/py3nvml,2023-09-25 06:14:21.168,56169.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +665,stop-words,Alir3z4/python-stop-words,nlp,,https://github.com/Alir3z4/python-stop-words,https://github.com/Alir3z4/python-stop-words,BSD-3-Clause,2014-05-26 06:44:03.000,2021-12-28 13:59:30.000000,2018-07-23 21:04:09,90.0,,26.0,7.0,18.0,4.0,9.0,154.0,Get list of common stop words in various languages in Python.,8.0,22,False,2018-07-23 20:58:34.000,2018.7.23,8.0,stop-words,,,,,2248.0,2093.0,https://pypi.org/project/stop-words,2018-07-23 20:55:55.000,155.0,116976.0,116976.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +666,DEβ«ΆTR,facebookresearch/detr,image,,https://github.com/facebookresearch/detr,https://github.com/facebookresearch/detr,Apache-2.0,2020-05-26 23:54:52.000,2024-01-22 00:19:31.000000,2023-02-07 10:12:31,47.0,,2158.0,148.0,89.0,239.0,286.0,12438.0,End-to-End Object Detection with Transformers.,26.0,21,True,2020-06-29 16:41:01.000,0.2,1.0,,,,,['pytorch'],21.0,21.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +667,nebullvm,nebuly-ai/nebullvm,model-serialisation,,https://github.com/nebuly-ai/nebuly,https://github.com/nebuly-ai/nebuly,Apache-2.0,2022-02-12 17:17:14.000,2023-10-28 10:19:07.000000,2023-10-28 10:19:07,763.0,,647.0,96.0,150.0,98.0,103.0,8338.0,The user analytics platform for LLMs.,40.0,21,True,2023-06-18 11:03:00.511,0.10.0,26.0,nebullvm,,,,,2.0,,https://pypi.org/project/nebullvm,2023-06-18 11:03:00.511,2.0,890.0,890.0,,,,,,,,3.0,,,,nebuly-ai/nebuly,,,,,,,,,,,,,,,,, +668,PySlowFast,facebookresearch/SlowFast,image,,https://github.com/facebookresearch/SlowFast,https://github.com/facebookresearch/SlowFast,Apache-2.0,2019-08-20 22:47:26.000,2023-12-22 07:27:57.000000,2023-10-19 02:11:57,190.0,,1097.0,98.0,48.0,364.0,280.0,6110.0,PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.,31.0,21,True,,,,pyslowfast,,,,['pytorch'],15.0,15.0,https://pypi.org/project/pyslowfast,,,18.0,18.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +669,TRFL,deepmind/trfl,reinforcement-learning,,https://github.com/google-deepmind/trfl,https://github.com/google-deepmind/trfl,Apache-2.0,2018-08-08 14:44:11.000,2022-12-08 18:07:05.000000,2021-08-16 11:45:18,123.0,,379.0,208.0,9.0,6.0,16.0,3142.0,TensorFlow Reinforcement Learning.,13.0,21,False,2021-08-16 12:19:16.000,1.2.0,5.0,trfl,,,,['tensorflow'],145.0,142.0,https://pypi.org/project/trfl,2021-08-16 12:19:16.000,3.0,907.0,907.0,,,,,,,,3.0,,,,google-deepmind/trfl,,,,,,,,,,,,,,,,, +670,NLP Architect,IntelLabs/nlp-architect,nlp,,https://github.com/IntelLabs/nlp-architect,https://github.com/IntelLabs/nlp-architect,Apache-2.0,2018-05-17 21:00:13.000,2022-11-07 16:21:47.000000,2022-11-07 16:21:47,957.0,,454.0,166.0,120.0,22.0,112.0,2926.0,A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language..,38.0,21,False,2020-11-17 12:32:37.000,0.5.5.1,13.0,nlp-architect,,,,,9.0,9.0,https://pypi.org/project/nlp-architect,2020-04-12 11:34:38.000,,156.0,156.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +671,AdaBound,Luolc/AdaBound,pytorch-utils,,https://github.com/Luolc/AdaBound,https://github.com/Luolc/AdaBound,Apache-2.0,2019-02-15 18:05:20.000,2023-07-23 10:44:20.000000,2019-03-06 17:01:45,27.0,,327.0,74.0,2.0,18.0,7.0,2904.0,An optimizer that trains as fast as Adam and as good as SGD.,2.0,21,False,2019-03-06 16:44:42.000,0.0.5,4.0,adabound,,,,['pytorch'],194.0,186.0,https://pypi.org/project/adabound,2019-02-26 04:23:45.000,8.0,1120.0,1120.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +672,Pillow-SIMD,uploadcare/pillow-simd,image,,https://github.com/uploadcare/pillow-simd,https://github.com/uploadcare/pillow-simd,PIL,2014-11-12 15:33:02.000,2023-06-20 17:42:42.000000,2023-06-20 17:42:34,12566.0,,84.0,41.0,47.0,12.0,74.0,2064.0,The friendly PIL fork.,385.0,21,False,,,,pillow-simd,,,,,,,https://pypi.org/project/pillow-simd,,,52933.0,52933.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +673,graph4nlp,graph4ai/graph4nlp,graph,,https://github.com/graph4ai/graph4nlp,https://github.com/graph4ai/graph4nlp,Apache-2.0,2020-07-16 03:28:48.000,2023-02-11 12:08:00.000000,2022-11-13 04:54:45,1941.0,,196.0,30.0,423.0,11.0,163.0,1646.0,Graph4nlp is the library for the easy use of Graph Neural Networks for NLP. Welcome to visit our DLG4NLP website..,29.0,21,False,2022-01-20 18:07:32.000,0.5.5,12.0,graph4nlp,,,,['pytorch'],,,https://pypi.org/project/graph4nlp,2022-01-20 15:18:44.000,,80.0,80.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +674,Antialiased CNNs,adobe/antialiased-cnns,pytorch-utils,,https://github.com/adobe/antialiased-cnns,https://github.com/adobe/antialiased-cnns,CC BY-NC-SA 4.0,2019-05-14 20:51:25.000,2023-04-10 08:32:30.000000,2021-09-29 18:48:52,239.0,,203.0,38.0,6.0,15.0,33.0,1633.0,pip install antialiased-cnns to improve stability and accuracy.,6.0,21,False,2020-10-23 22:45:52.000,0.3,6.0,antialiased-cnns,,,,['pytorch'],53.0,47.0,https://pypi.org/project/antialiased-cnns,2020-10-23 22:42:49.000,6.0,5762.0,5762.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +675,benchmark_VAE,clementchadebec/benchmark_VAE,others,,https://github.com/clementchadebec/benchmark_VAE,https://github.com/clementchadebec/benchmark_VAE,Apache-2.0,2021-10-02 16:26:24.000,2024-01-21 21:25:55.000000,2024-01-21 21:25:55,370.0,2.0,138.0,17.0,70.0,15.0,35.0,1604.0,Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022).,16.0,21,True,2023-09-06 15:43:22.000,0.1.2,11.0,pythae,,,,['pytorch'],19.0,19.0,https://pypi.org/project/pythae,,,3316.0,3316.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +676,Classy Vision,facebookresearch/ClassyVision,image,,https://github.com/facebookresearch/ClassyVision,https://github.com/facebookresearch/ClassyVision,MIT,2019-09-13 22:54:44.000,2023-06-16 19:17:34.578000,2023-03-23 14:35:34,422.0,,281.0,74.0,728.0,53.0,64.0,1567.0,An end-to-end PyTorch framework for image and video classification.,77.0,21,True,2023-03-21 05:24:19.000,0.7.0,18.0,classy_vision,conda-forge/classy_vision,,,['pytorch'],4.0,,https://pypi.org/project/classy_vision,2023-03-21 05:15:00.935,4.0,564.0,945.0,https://anaconda.org/conda-forge/classy_vision,2023-06-16 19:17:34.578,18683.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +677,ThunderSVM,Xtra-Computing/thundersvm,ml-frameworks,,https://github.com/Xtra-Computing/thundersvm,https://github.com/Xtra-Computing/thundersvm,Apache-2.0,2014-12-11 04:24:04.000,2024-01-29 06:34:18.000000,2024-01-29 06:20:56,908.0,2.0,208.0,57.0,52.0,74.0,149.0,1526.0,ThunderSVM: A Fast SVM Library on GPUs and CPUs.,36.0,21,True,2020-03-13 12:36:30.000,0.3.12,9.0,thundersvm,,,,,,,https://pypi.org/project/thundersvm,2020-03-13 12:36:30.000,,351.0,382.0,,,,,,,,3.0,2745.0,,,,,,,,,,,,,,,,,,,, +678,anaGo,Hironsan/anago,nlp,,https://github.com/Hironsan/anago,https://github.com/Hironsan/anago,MIT,2017-06-26 21:28:36.000,2022-12-07 23:44:31.000000,2021-04-01 12:34:50,298.0,,358.0,62.0,47.0,37.0,72.0,1476.0,"Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.",11.0,21,False,2018-06-03 13:51:56.000,1.0.0,5.0,anago,,,,['tensorflow'],32.0,32.0,https://pypi.org/project/anago,,,234.0,234.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +679,MLBox,AxeldeRomblay/MLBox,hyperopt,,https://github.com/AxeldeRomblay/MLBox,https://github.com/AxeldeRomblay/MLBox,BSD-1-Clause,2017-06-01 16:59:24.000,2023-08-06 18:20:04.000000,2020-08-25 09:26:27,1121.0,,271.0,66.0,51.0,23.0,75.0,1462.0,MLBox is a powerful Automated Machine Learning python library.,9.0,21,False,2020-08-25 09:32:37.000,0.8.5,21.0,mlbox,,,,,35.0,35.0,https://pypi.org/project/mlbox,2020-08-25 09:32:37.000,,226.0,226.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +680,DLTK,DLTK/DLTK,medical-data,,https://github.com/DLTK/DLTK,https://github.com/DLTK/DLTK,Apache-2.0,2017-05-02 15:40:36.000,2023-03-24 22:27:46.000000,2019-01-21 14:01:28,379.0,,399.0,102.0,36.0,11.0,24.0,1416.0,Deep Learning Toolkit for Medical Image Analysis.,9.0,21,False,2018-02-26 17:43:57.000,0.2.1,5.0,dltk,,,,['tensorflow'],31.0,31.0,https://pypi.org/project/dltk,2018-02-26 17:43:57.000,,157.0,157.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +681,tensorrec,jfkirk/tensorrec,recommender-systems,,https://github.com/jfkirk/tensorrec,https://github.com/jfkirk/tensorrec,Apache-2.0,2017-02-28 18:51:11.000,2023-05-22 21:34:54.000000,2020-02-04 21:10:25,334.0,,219.0,64.0,48.0,36.0,90.0,1252.0,A TensorFlow recommendation algorithm and framework in Python.,9.0,21,False,2019-04-02 00:53:47.000,0.26.2,30.0,tensorrec,,,,['tensorflow'],37.0,34.0,https://pypi.org/project/tensorrec,2019-04-02 00:53:47.000,3.0,219.0,219.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +682,DiCE,interpretml/DiCE,interpretability,,https://github.com/interpretml/DiCE,https://github.com/interpretml/DiCE,MIT,2019-05-02 09:51:02.000,2024-01-01 15:19:10.000000,2023-12-09 21:53:10,773.0,4.0,173.0,18.0,258.0,64.0,94.0,1232.0,Generate Diverse Counterfactual Explanations for any machine learning model.,19.0,21,True,2023-10-26 11:36:48.000,0.11,12.0,dice-ml,,,,"['tensorflow', 'pytorch']",,,https://pypi.org/project/dice-ml,,,51378.0,51378.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +683,Sockeye,awslabs/sockeye,nlp,,https://github.com/awslabs/sockeye,https://github.com/awslabs/sockeye,Apache-2.0,2017-06-08 07:44:30.000,2023-10-17 15:42:35.000000,2023-10-17 15:42:30,833.0,,306.0,51.0,791.0,5.0,300.0,1198.0,Sequence-to-sequence framework with a focus on Neural Machine Translation based on PyTorch.,60.0,21,True,2023-03-03 07:44:13.000,3.1.34,76.0,sockeye,,,,['mxnet'],,,https://pypi.org/project/sockeye,,,838.0,838.0,,,,,,,,3.0,17.0,,,,,,,,,,,,,,,,,,,, +684,luminol,linkedin/luminol,time-series-data,,https://github.com/linkedin/luminol,https://github.com/linkedin/luminol,Apache-2.0,2015-11-18 23:16:33.000,2023-05-09 00:52:44.000000,2023-05-09 00:52:44,72.0,,215.0,66.0,29.0,31.0,12.0,1139.0,Anomaly Detection and Correlation library.,9.0,21,True,2016-01-20 01:01:44.000,0.3.1,5.0,luminol,,,,,92.0,77.0,https://pypi.org/project/luminol,2017-12-11 06:04:15.000,15.0,7915.0,7915.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +685,PFRL,pfnet/pfrl,reinforcement-learning,,https://github.com/pfnet/pfrl,https://github.com/pfnet/pfrl,MIT,2020-06-24 09:31:50.000,2023-07-16 15:34:00.704000,2023-07-16 15:16:10,420.0,,146.0,92.0,117.0,33.0,45.0,1123.0,PFRL: a PyTorch-based deep reinforcement learning library.,19.0,21,True,2023-07-16 15:34:00.704,0.4.0,6.0,pfrl,,,,,100.0,99.0,https://pypi.org/project/pfrl,2023-07-16 15:34:00.704,1.0,931.0,931.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +686,attention-ocr,emedvedev/attention-ocr,ocr,,https://github.com/emedvedev/attention-ocr,https://github.com/emedvedev/attention-ocr,MIT,2017-07-21 18:35:19.000,2023-10-20 17:48:54.000000,2023-10-20 17:48:54,207.0,,249.0,48.0,46.0,26.0,127.0,1043.0,A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and..,28.0,21,True,2020-10-12 06:56:40.000,0.7.6,21.0,aocr,,,,['tensorflow'],28.0,28.0,https://pypi.org/project/aocr,2019-04-19 05:28:27.000,,209.0,209.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +687,Saliency,PAIR-code/saliency,tensorflow-utils,,https://github.com/PAIR-code/saliency,https://github.com/PAIR-code/saliency,Apache-2.0,2017-06-09 22:07:35.000,2023-07-24 18:18:54.000000,2022-05-13 18:48:12,83.0,,181.0,24.0,58.0,10.0,27.0,921.0,"Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).",16.0,21,False,2022-06-14 18:11:08.000,0.2.0,11.0,saliency,,,,['tensorflow'],81.0,75.0,https://pypi.org/project/saliency,2022-06-14 18:11:08.000,6.0,4849.0,4849.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +688,deeplift,kundajelab/deeplift,interpretability,,https://github.com/kundajelab/deeplift,https://github.com/kundajelab/deeplift,MIT,2016-06-01 02:18:06.000,2022-04-28 10:04:52.000000,2021-11-11 17:50:26,553.0,,160.0,38.0,46.0,43.0,49.0,781.0,Public facing deeplift repo.,11.0,21,False,2018-07-13 21:11:52.000,0.6.6,21.0,deeplift,,,,,98.0,89.0,https://pypi.org/project/deeplift,2020-11-11 09:32:57.000,9.0,403.0,403.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +689,UForm,unum-cloud/uform,nlp,,https://github.com/unum-cloud/uform,https://github.com/unum-cloud/uform,Apache-2.0,2023-02-21 10:04:40.000,2024-01-15 14:56:07.000000,2023-12-29 01:45:38,174.0,22.0,35.0,9.0,47.0,2.0,12.0,749.0,"Pocket-Sized Multimodal AI for content understanding and generation across multilingual texts, images, and video, up..",9.0,21,True,2023-12-29 01:46:22.000,1.0.3,27.0,uform,,,,['pytorch'],15.0,15.0,https://pypi.org/project/uform,2023-12-29 01:46:22.000,,1552.0,1552.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +690,TreeInterpreter,andosa/treeinterpreter,interpretability,,https://github.com/andosa/treeinterpreter,https://github.com/andosa/treeinterpreter,BSD-3-Clause,2015-08-02 20:26:21.000,2023-07-18 10:50:27.000000,2021-02-28 18:33:06,37.0,,144.0,25.0,19.0,26.0,5.0,734.0,Package for interpreting scikit-learns decision tree and random forest predictions.,11.0,21,False,2021-01-10 20:12:39.000,0.2.3,5.0,treeinterpreter,conda-forge/treeinterpreter,,,['sklearn'],607.0,593.0,https://pypi.org/project/treeinterpreter,2021-01-10 20:12:39.000,14.0,47619.0,47774.0,https://anaconda.org/conda-forge/treeinterpreter,2023-06-16 19:22:55.011,6237.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +691,finetune,IndicoDataSolutions/finetune,nlp,,https://github.com/IndicoDataSolutions/finetune,https://github.com/IndicoDataSolutions/finetune,MPL-2.0,2018-06-12 17:02:16.000,2024-01-14 17:42:25.000000,2024-01-08 12:42:48,1503.0,1.0,79.0,36.0,648.0,22.0,118.0,696.0,Scikit-learn style model finetuning for NLP.,23.0,21,True,2023-09-29 10:19:51.000,0.10.0,39.0,finetune,,,,"['tensorflow', 'sklearn']",13.0,11.0,https://pypi.org/project/finetune,2023-09-29 10:19:51.000,2.0,112.0,112.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +692,Merlin,NVIDIA-Merlin/Merlin,gpu-utilities,,https://github.com/NVIDIA-Merlin/Merlin,https://github.com/NVIDIA-Merlin/Merlin,Apache-2.0,2021-03-30 23:35:26.000,2024-01-23 13:21:05.000000,2024-01-15 01:52:35,490.0,4.0,102.0,31.0,557.0,197.0,245.0,649.0,"NVIDIA Merlin is an open source library providing end-to-end GPU-accelerated recommender systems, from feature..",32.0,21,True,2024-01-15 02:09:18.000,23.12.00,16.0,merlin-core,,,,,1.0,,https://pypi.org/project/merlin-core,2023-08-29 16:27:32.000,1.0,4226.0,4226.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +693,Neuraxle,Neuraxio/Neuraxle,hyperopt,,https://github.com/Neuraxio/Neuraxle,https://github.com/Neuraxio/Neuraxle,Apache-2.0,2019-03-26 21:01:54.000,2023-05-01 22:43:43.000000,2022-08-16 17:43:49,1877.0,,58.0,19.0,216.0,15.0,301.0,595.0,The worlds cleanest AutoML library - Do hyperparameter tuning with the right pipeline abstractions to write clean deep..,9.0,21,False,2022-08-16 19:54:29.000,0.8.1,27.0,neuraxle,,,,,60.0,60.0,https://pypi.org/project/neuraxle,,,256.0,256.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +694,joypy,leotac/joypy,data-viz,,https://github.com/leotac/joypy,https://github.com/leotac/joypy,MIT,2017-07-30 17:18:50.000,2023-06-16 16:14:43.440000,2021-12-19 09:41:43,133.0,,54.0,11.0,20.0,13.0,37.0,523.0,Joyplots in Python with matplotlib & pandas.,6.0,21,False,2021-12-19 09:42:50.000,0.2.6,17.0,joypy,conda-forge/joypy,,,,343.0,334.0,https://pypi.org/project/joypy,2021-12-19 09:42:50.000,9.0,8604.0,9011.0,https://anaconda.org/conda-forge/joypy,2023-06-16 16:14:43.440,24026.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +695,apricot,jmschrei/apricot,others,,https://github.com/jmschrei/apricot,https://github.com/jmschrei/apricot,MIT,2018-08-12 02:42:12.000,2023-11-17 16:30:15.000000,2021-11-18 21:06:54,172.0,,46.0,10.0,9.0,11.0,21.0,482.0,apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine..,4.0,21,False,2023-11-17 16:33:58.000,0.6.1,14.0,apricot-select,,,,,100.0,92.0,https://pypi.org/project/apricot-select,2021-02-18 06:55:02.000,8.0,4248.0,4248.0,,,,,,,,3.0,27.0,,,,,,,,,,,,,,,,,,,, +696,Hyperactive,SimonBlanke/Hyperactive,hyperopt,,https://github.com/SimonBlanke/Hyperactive,https://github.com/SimonBlanke/Hyperactive,MIT,2018-11-01 08:53:30.000,2023-12-15 16:29:56.000000,2023-12-15 16:28:41,2274.0,1.0,41.0,12.0,11.0,8.0,52.0,481.0,An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.,7.0,21,True,2023-11-01 10:40:28.000,4.6.0,29.0,hyperactive,,,,,26.0,26.0,https://pypi.org/project/hyperactive,,,3317.0,3319.0,,,,,,,,3.0,130.0,,,,,,,,,,,,,,,,,,,, +697,Popmon,ing-bank/popmon,data-viz,,https://github.com/ing-bank/popmon,https://github.com/ing-bank/popmon,MIT,2020-04-23 11:21:14.000,2023-12-29 09:08:36.000000,2023-07-18 10:24:07,542.0,,35.0,14.0,223.0,15.0,40.0,478.0,Monitor the stability of a Pandas or Spark dataframe.,17.0,21,True,2023-07-18 10:32:00.587,1.4.6,36.0,popmon,,,,"['pandas', 'spark']",22.0,20.0,https://pypi.org/project/popmon,2023-07-18 10:32:00.587,2.0,11400.0,11403.0,,,,,,,,3.0,138.0,,,,,,,,,,,,,,,,,,,, +698,optunity,claesenm/optunity,hyperopt,,https://github.com/claesenm/optunity,https://github.com/claesenm/optunity,BSD-3-Clause,2014-05-28 17:29:11.000,2023-11-25 01:31:29.000000,2020-05-11 14:32:38,782.0,,79.0,24.0,12.0,48.0,49.0,413.0,optimization routines for hyperparameter tuning.,9.0,21,False,2015-09-30 04:59:38.000,1.1.1,3.0,optunity,,,,,111.0,111.0,https://pypi.org/project/optunity,,,5151.0,5151.0,,,,,,,,3.0,90.0,,,,,,,,,,,,,,,,,,,, +699,carefree-learn,carefree0910/carefree-learn,tabular,,https://github.com/carefree0910/carefree-learn,https://github.com/carefree0910/carefree-learn,MIT,2020-06-17 17:44:17.000,2024-01-15 10:30:51.000000,2023-12-11 07:05:24,4782.0,71.0,32.0,13.0,1.0,2.0,80.0,400.0,Deep Learning PyTorch.,,21,True,2023-04-22 01:50:50.000,0.4.1,26.0,carefree-learn,,,,['pytorch'],5.0,5.0,https://pypi.org/project/carefree-learn,,,450.0,450.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +700,lightwood,mindsdb/lightwood,hyperopt,,https://github.com/mindsdb/lightwood,https://github.com/mindsdb/lightwood,GPL-3.0,2019-05-20 21:31:14.000,2024-01-23 19:59:46.000000,2024-01-23 19:52:41,5593.0,14.0,89.0,15.0,740.0,28.0,435.0,394.0,Lightwood is Legos for Machine Learning.,44.0,21,False,2024-01-10 21:22:19.000,23.12.4.0,202.0,lightwood,,,,['pytorch'],2.0,,https://pypi.org/project/lightwood,2023-12-25 13:15:52.000,2.0,4670.0,4670.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +701,Julius,adefossez/julius,audio,,https://github.com/adefossez/julius,https://github.com/adefossez/julius,MIT,2020-10-26 10:54:21.000,2022-09-26 14:14:12.000000,2022-09-19 16:13:14,69.0,,27.0,10.0,9.0,2.0,9.0,391.0,Fast PyTorch based DSP for audio and 1D signals.,2.0,21,False,2022-09-20 06:43:57.063,0.2.7,11.0,julius,,,,['pytorch'],990.0,984.0,https://pypi.org/project/julius,2022-09-20 06:43:57.063,6.0,170334.0,170334.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +702,Studio.ml,studioml/studio,ml-experiments,,https://github.com/studioml/studio,https://github.com/studioml/studio,Apache-2.0,2017-05-15 01:49:28.000,2023-09-06 17:29:29.000000,2023-09-06 17:29:29,2412.0,,52.0,24.0,231.0,57.0,195.0,378.0,Studio: Simplify and expedite model building process.,24.0,21,True,2021-09-14 22:55:51.000,0.0.49,208.0,studioml,,,,,5.0,5.0,https://pypi.org/project/studioml,2021-09-14 22:55:51.000,,669.0,669.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +703,impyute,eltonlaw/impyute,others,,https://github.com/eltonlaw/impyute,https://github.com/eltonlaw/impyute,MIT,2017-01-21 09:16:27.000,2021-11-06 21:15:04.000000,2021-11-06 21:15:04,292.0,,48.0,11.0,37.0,28.0,37.0,344.0,Data imputations library to preprocess datasets with missing data.,11.0,21,False,2019-04-29 02:33:05.659,0.0.8,8.0,impyute,,,,,220.0,214.0,https://pypi.org/project/impyute,2017-05-31 08:31:47.000,6.0,3345.0,3345.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +704,launchpad,deepmind/launchpad,distributed-ml,,https://github.com/google-deepmind/launchpad,https://github.com/google-deepmind/launchpad,Apache-2.0,2021-02-18 15:16:49.000,2023-08-22 08:22:46.000000,2023-08-22 08:22:26,367.0,,33.0,18.0,6.0,18.0,21.0,306.0,Launchpad is a library that simplifies writing distributed programs and seamlessly launching them on a range of..,28.0,21,True,2022-04-28 06:23:38.000,0.5.2,9.0,dm-launchpad,,,,['tensorflow'],84.0,83.0,https://pypi.org/project/dm-launchpad,2022-04-28 06:23:38.000,1.0,1099.0,1099.0,,,,,,,,3.0,,,,google-deepmind/launchpad,,,,,,,,,,,,,,,,, +705,vegafusion,vegafusion/vegafusion,data-viz,,https://github.com/hex-inc/vegafusion,https://github.com/hex-inc/vegafusion,BSD-3-Clause,2021-10-01 09:19:27.000,2024-01-31 16:10:58.589000,2024-01-30 21:56:31,636.0,30.0,10.0,22.0,321.0,38.0,77.0,280.0,Serverside scaling for Vega and Altair visualizations.,3.0,21,False,2024-01-30 22:15:53.000,1.6.3,68.0,vegafusion-jupyter,conda-forge/vegafusion-python-embed,,,,3.0,,https://pypi.org/project/vegafusion-jupyter,2024-01-30 21:58:21.000,1.0,1987.0,6792.0,https://anaconda.org/conda-forge/vegafusion-python-embed,2024-01-31 16:10:58.589,92188.0,,,,,3.0,5000.0,,,hex-inc/vegafusion,vegafusion-jupyter,https://www.npmjs.com/package/vegafusion-jupyter,2024-01-30 22:01:58.944,2.0,597.0,,,,,,,,,,,, +706,somoclu,peterwittek/somoclu,distributed-ml,,https://github.com/peterwittek/somoclu,https://github.com/peterwittek/somoclu,MIT,2013-01-16 06:33:16.000,2024-01-18 11:58:52.000000,2024-01-18 11:58:51,626.0,5.0,68.0,27.0,31.0,30.0,113.0,258.0,"Massively parallel self-organizing maps: accelerate training on multicore CPUs, GPUs, and clusters.",20.0,21,False,2023-02-18 02:51:08.166,1.7.6,18.0,somoclu,conda-forge/somoclu,,,,12.0,,https://pypi.org/project/somoclu,2023-02-18 02:51:08.166,12.0,1494.0,3593.0,https://anaconda.org/conda-forge/somoclu,2023-10-13 23:30:32.439,83356.0,,,,,3.0,1852.0,,,,,,,,,,,,,,,,,,,, +707,tf-quant-finance,google/tf-quant-finance,financial-data,,https://github.com/google/tf-quant-finance,https://github.com/google/tf-quant-finance,Apache-2.0,2019-07-24 16:09:50.000,2023-10-06 13:06:28.000000,2023-08-15 07:38:22,956.0,,542.0,167.0,45.0,37.0,28.0,4182.0,High-performance TensorFlow library for quantitative finance.,47.0,20,True,,,30.0,tf-quant-finance,,,,['tensorflow'],2.0,,https://pypi.org/project/tf-quant-finance,2022-08-19 12:40:54.257,2.0,652.0,652.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +708,BytePS,bytedance/byteps,distributed-ml,,https://github.com/bytedance/byteps,https://github.com/bytedance/byteps,Apache-2.0,2019-06-25 07:00:13.000,2023-10-03 18:02:27.000000,2022-02-10 07:36:23,432.0,,475.0,87.0,180.0,108.0,161.0,3542.0,A high performance and generic framework for distributed DNN training.,21.0,20,False,2020-08-27 15:42:13.000,0.2.4,8.0,byteps,,bytepsimage/tensorflow,,,,,https://pypi.org/project/byteps,2021-08-02 17:37:42.000,,48.0,71.0,,,,https://hub.docker.com/r/bytepsimage/tensorflow,2020-03-03 02:33:23.358610,,1324.0,3.0,,,,,,,,,,,,,,,,,,,,, +709,TensorWatch,microsoft/tensorwatch,ml-experiments,,https://github.com/microsoft/tensorwatch,https://github.com/microsoft/tensorwatch,MIT,2019-05-15 08:29:34.000,2023-08-30 07:47:40.000000,2023-08-30 07:47:36,119.0,,357.0,97.0,16.0,53.0,17.0,3355.0,"Debugging, monitoring and visualization for Python Machine Learning and Data Science.",15.0,20,True,2020-03-04 07:26:22.000,0.9.1,14.0,tensorwatch,,,,,144.0,137.0,https://pypi.org/project/tensorwatch,2020-03-04 07:26:22.000,7.0,765.0,765.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +710,lightseq,bytedance/lightseq,nlp,,https://github.com/bytedance/lightseq,https://github.com/bytedance/lightseq,Apache-2.0,2019-12-06 08:25:24.000,2023-05-16 10:47:48.000000,2023-05-10 04:35:39,269.0,,317.0,60.0,242.0,173.0,109.0,3032.0,LightSeq: A High Performance Library for Sequence Processing and Generation.,17.0,20,True,2022-11-03 06:46:55.989,3.0.1,22.0,lightseq,,,,,2.0,,https://pypi.org/project/lightseq,2022-11-03 06:46:55.989,2.0,1302.0,1315.0,,,,,,,,3.0,672.0,,,,,,,,,,,,,,,,,,,, +711,pytorchviz,szagoruyko/pytorchviz,pytorch-utils,,https://github.com/szagoruyko/pytorchviz,https://github.com/szagoruyko/pytorchviz,MIT,2018-01-30 15:37:55.000,2024-02-01 01:01:08.000000,2021-06-15 18:41:51,22.0,,262.0,33.0,20.0,24.0,37.0,2936.0,A small package to create visualizations of PyTorch execution graphs.,6.0,20,False,,,,,,,,,1576.0,1576.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +712,image-match,ProvenanceLabs/image-match,image,,https://github.com/rhsimplex/image-match,https://github.com/rhsimplex/image-match,Apache-2.0,2016-03-08 18:16:45.000,2022-12-06 11:29:04.000000,2022-12-06 11:29:04,406.0,,398.0,102.0,54.0,64.0,48.0,2904.0,Quickly search over billions of images.,19.0,20,False,2017-02-13 14:54:48.000,1.1.2,10.0,image_match,,,,,4.0,,https://pypi.org/project/image_match,2017-02-13 14:54:48.000,4.0,416.0,416.0,,,,,,,,3.0,,,,rhsimplex/image-match,,,,,,,,,,,,,,,,, +713,StreamAlert,airbnb/streamalert,others,,https://github.com/airbnb/streamalert,https://github.com/airbnb/streamalert,Apache-2.0,2017-01-22 01:10:56.000,2023-10-23 17:15:34.000000,2022-07-20 20:54:36,1904.0,,322.0,102.0,1000.0,87.0,260.0,2823.0,"StreamAlert is a serverless, realtime data analysis framework which empowers you to ingest, analyze, and alert on data..",33.0,20,False,2021-11-04 19:07:51.000,3.5.0,28.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +714,DeepWalk,phanein/deepwalk,graph,,https://github.com/phanein/deepwalk,https://github.com/phanein/deepwalk,GPL-3.0,2014-08-23 03:38:20.000,2023-06-14 23:22:41.000000,2020-04-02 01:05:35,46.0,,827.0,86.0,30.0,45.0,80.0,2621.0,DeepWalk - Deep Learning for Graphs.,10.0,20,False,2018-04-29 21:05:18.000,1.0.3,4.0,deepwalk,,,,,76.0,69.0,https://pypi.org/project/deepwalk,2018-04-29 21:05:18.000,7.0,919.0,919.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +715,Coach,IntelLabs/coach,reinforcement-learning,,https://github.com/IntelLabs/coach,https://github.com/IntelLabs/coach,Apache-2.0,2017-10-01 19:27:43.000,2022-12-11 17:54:07.000000,2022-12-11 17:54:06,524.0,,455.0,127.0,225.0,87.0,183.0,2293.0,Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning..,38.0,20,False,2019-10-10 14:17:10.000,1.0.1,13.0,rl_coach,,,,,2.0,,https://pypi.org/project/rl_coach,2019-10-10 14:17:10.000,2.0,141.0,141.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +716,pycls,facebookresearch/pycls,image,,https://github.com/facebookresearch/pycls,https://github.com/facebookresearch/pycls,MIT,2019-06-10 22:47:17.000,2023-08-26 21:36:44.000000,2023-08-26 20:55:56,106.0,,233.0,62.0,105.0,25.0,56.0,2092.0,"Codebase for Image Classification Research, written in PyTorch.",19.0,20,True,2021-05-21 00:29:47.000,0.2,2.0,pycls,,,,['pytorch'],17.0,17.0,https://pypi.org/project/pycls,,,1440.0,1440.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +717,reformer-pytorch,lucidrains/reformer-pytorch,pytorch-utils,,https://github.com/lucidrains/reformer-pytorch,https://github.com/lucidrains/reformer-pytorch,MIT,2020-01-09 20:42:37.000,2023-06-21 14:17:49.000000,2023-06-21 14:07:30,249.0,,251.0,54.0,35.0,15.0,105.0,2021.0,"Reformer, the efficient Transformer, in Pytorch.",11.0,20,True,2021-11-06 23:09:00.000,1.4.4,139.0,reformer-pytorch,,,,['pytorch'],,,https://pypi.org/project/reformer-pytorch,2021-11-06 23:09:00.000,,3709.0,3709.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +718,BlazingSQL,BlazingDB/blazingsql,gpu-utilities,,https://github.com/BlazingDB/blazingsql,https://github.com/BlazingDB/blazingsql,Apache-2.0,2018-09-24 18:25:45.000,2023-06-16 16:17:31.557000,2021-09-30 21:51:09,8208.0,,175.0,55.0,895.0,129.0,586.0,1876.0,"BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.",50.0,20,False,2021-08-16 15:40:43.000,21.08.00,19.0,,blazingsql/blazingsql-protocol,,,,,,,,,,19.0,https://anaconda.org/blazingsql/blazingsql-protocol,2023-06-16 16:17:31.557,1019.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +719,DELTA,Delta-ML/delta,nlp,,https://github.com/Delta-ML/delta,https://github.com/Delta-ML/delta,Apache-2.0,2019-05-29 08:33:57.000,2023-10-11 20:58:29.000000,2020-12-17 06:57:15,932.0,,294.0,67.0,201.0,1.0,74.0,1577.0,DELTA is a deep learning based natural language and speech processing platform.,41.0,20,False,2020-07-16 09:31:45.000,0.3.3,4.0,delta-nlp,,zh794390558/delta,,['tensorflow'],,,https://pypi.org/project/delta-nlp,,,7.0,237.0,,,,https://hub.docker.com/r/zh794390558/delta,2021-08-03 14:50:00.516864,,13117.0,3.0,,,,,,,,,,,,,,,,,,,,, +720,lore,instacart/lore,ml-experiments,,https://github.com/instacart/lore,https://github.com/instacart/lore,MIT,2017-10-19 21:51:45.000,2023-05-13 02:26:19.000000,2022-09-27 19:41:48,274.0,,140.0,101.0,150.0,21.0,20.0,1551.0,Lore makes machine learning approachable for Software Engineers and maintainable for Machine Learning Researchers.,29.0,20,False,2022-02-18 18:01:38.000,0.8.6,233.0,lore,,,,,22.0,21.0,https://pypi.org/project/lore,2022-02-18 18:01:38.000,1.0,649.0,649.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +721,Lambda Networks,lucidrains/lambda-networks,pytorch-utils,,https://github.com/lucidrains/lambda-networks,https://github.com/lucidrains/lambda-networks,MIT,2020-10-08 19:01:15.000,2020-11-18 19:54:34.000000,2020-11-18 19:54:30,31.0,,157.0,46.0,3.0,13.0,15.0,1528.0,"Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute.",3.0,20,False,2020-11-18 08:19:23.000,0.4.0,11.0,lambda-networks,,,,['pytorch'],23.0,23.0,https://pypi.org/project/lambda-networks,2020-11-18 08:19:23.000,,1318.0,1318.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +722,jraph,deepmind/jraph,graph,,https://github.com/google-deepmind/jraph,https://github.com/google-deepmind/jraph,Apache-2.0,2020-11-23 10:27:12.000,2023-06-16 19:27:46.249000,2022-08-31 13:13:15,103.0,,80.0,40.0,14.0,12.0,27.0,1275.0,A Graph Neural Network Library in Jax.,17.0,20,False,2022-08-12 15:24:20.000,0.0.6.de0,5.0,jraph,conda-forge/jraph,,,['jax'],149.0,136.0,https://pypi.org/project/jraph,2022-08-12 15:25:29.659,13.0,6743.0,6893.0,https://anaconda.org/conda-forge/jraph,2023-06-16 19:27:46.249,4217.0,,,,,3.0,,,,google-deepmind/jraph,,,,,,,,,,,,,,,,, +723,doc2text,jlsutherland/doc2text,ocr,,https://github.com/jlsutherland/doc2text,https://github.com/jlsutherland/doc2text,MIT,2016-08-28 19:30:02.000,2020-12-01 22:56:27.000000,2020-12-01 22:56:26,62.0,,101.0,40.0,13.0,14.0,9.0,1265.0,Detect text blocks and OCR poorly scanned PDFs in bulk. Python module available via pip.,5.0,20,False,2016-09-06 21:59:21.000,0.2.4,5.0,doc2text,,,,,117.0,116.0,https://pypi.org/project/doc2text,2016-09-06 21:59:21.000,1.0,1585.0,1585.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +724,AlphaPy,ScottfreeLLC/AlphaPy,hyperopt,,https://github.com/ScottfreeLLC/AlphaPy,https://github.com/ScottfreeLLC/AlphaPy,Apache-2.0,2016-02-14 00:47:32.000,2023-12-13 18:40:36.000000,2023-12-13 18:40:36,436.0,9.0,186.0,61.0,7.0,13.0,29.0,1018.0,"Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost.",5.0,20,True,2020-08-29 18:48:20.000,2.5.0,25.0,alphapy,,,,,4.0,4.0,https://pypi.org/project/alphapy,2020-08-29 18:44:15.000,,205.0,205.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +725,geoplotlib,andrea-cuttone/geoplotlib,geospatial-data,,https://github.com/andrea-cuttone/geoplotlib,https://github.com/andrea-cuttone/geoplotlib,MIT,2015-02-24 13:13:07.000,2023-06-16 19:26:09.140000,2019-05-06 07:06:50,159.0,,169.0,56.0,14.0,30.0,19.0,1012.0,python toolbox for visualizing geographical data and making maps.,8.0,20,False,2016-07-27 14:55:01.000,0.3.2,4.0,geoplotlib,conda-forge/geoplotlib,,,,182.0,170.0,https://pypi.org/project/geoplotlib,2016-07-27 14:55:01.000,12.0,648.0,893.0,https://anaconda.org/conda-forge/geoplotlib,2023-06-16 19:26:09.140,8090.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +726,TensorNets,taehoonlee/tensornets,tensorflow-utils,,https://github.com/taehoonlee/tensornets,https://github.com/taehoonlee/tensornets,MIT,2017-09-19 05:19:01.000,2021-01-02 06:28:10.000000,2021-01-02 06:26:24,284.0,,184.0,52.0,12.0,16.0,42.0,1007.0,High level network definitions with pre-trained weights in TensorFlow.,6.0,20,False,2020-03-31 04:38:27.000,0.4.6,12.0,tensornets,,,,['tensorflow'],79.0,75.0,https://pypi.org/project/tensornets,2020-03-31 04:35:15.000,4.0,78.0,78.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +727,ADTK,arundo/adtk,time-series-data,,https://github.com/arundo/adtk,https://github.com/arundo/adtk,MPL-2.0,2019-09-27 00:34:22.000,2024-01-14 08:39:28.000000,2020-04-17 02:27:44,79.0,,130.0,25.0,76.0,43.0,36.0,999.0,A Python toolkit for rule-based/unsupervised anomaly detection in time series.,11.0,20,False,2020-04-17 02:18:00.000,0.6.2,13.0,adtk,conda-forge/adtk,,,,2.0,,https://pypi.org/project/adtk,2020-04-17 02:18:00.000,2.0,250820.0,250985.0,https://anaconda.org/conda-forge/adtk,2023-06-16 19:18:16.533,7767.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +728,nnAudio,KinWaiCheuk/nnAudio,audio,,https://github.com/KinWaiCheuk/nnAudio,https://github.com/KinWaiCheuk/nnAudio,MIT,2019-09-02 04:31:14.000,2023-09-04 22:14:55.000000,2023-09-04 22:14:55,303.0,,87.0,18.0,72.0,18.0,42.0,929.0,Audio processing by using pytorch 1D convolution network.,15.0,20,True,2022-10-09 13:50:13.300,0.3.2,39.0,nnAudio,,,,,158.0,155.0,https://pypi.org/project/nnAudio,2021-12-24 09:38:22.000,3.0,4127.0,4127.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +729,nude.py,hhatto/nude.py,image,,https://github.com/hhatto/nude.py,https://github.com/hhatto/nude.py,MIT,2013-06-09 06:55:55.000,2020-11-23 13:49:32.000000,2020-11-23 13:49:02,79.0,,133.0,36.0,16.0,8.0,3.0,922.0,Nudity detection with Python.,12.0,20,False,2020-11-23 13:49:17.000,0.5.1,10.0,nudepy,,,,,3612.0,3600.0,https://pypi.org/project/nudepy,2020-11-23 13:49:17.000,12.0,912.0,912.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +730,LOFO,aerdem4/lofo-importance,interpretability,,https://github.com/aerdem4/lofo-importance,https://github.com/aerdem4/lofo-importance,MIT,2019-01-14 10:46:46.000,2024-01-16 09:19:50.000000,2024-01-16 09:12:58,32.0,3.0,81.0,14.0,35.0,3.0,23.0,789.0,Leave One Feature Out Importance.,6.0,20,True,2024-01-16 09:19:50.000,0.3.4,14.0,lofo-importance,,,,,31.0,27.0,https://pypi.org/project/lofo-importance,2024-01-16 09:19:50.000,4.0,1352.0,1352.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +731,sklearn-deap,rsteca/sklearn-deap,hyperopt,,https://github.com/rsteca/sklearn-deap,https://github.com/rsteca/sklearn-deap,MIT,2015-10-28 22:52:34.000,2023-07-02 20:27:29.000000,2021-07-30 15:06:27,104.0,,128.0,30.0,28.0,21.0,34.0,754.0,Use evolutionary algorithms instead of gridsearch in scikit-learn.,23.0,20,False,2021-07-30 15:13:54.000,0.3.0,14.0,sklearn-deap,,,,['sklearn'],44.0,42.0,https://pypi.org/project/sklearn-deap,2021-07-30 15:13:54.000,2.0,233.0,233.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +732,TensorFrames,databricks/tensorframes,distributed-ml,,https://github.com/databricks/tensorframes,https://github.com/databricks/tensorframes,Apache-2.0,2016-03-04 19:25:19.000,2023-03-30 20:05:58.000000,2019-11-15 21:43:53,221.0,,158.0,76.0,98.0,51.0,43.0,753.0,[DEPRECATED] Tensorflow wrapper for DataFrames on Apache Spark.,16.0,20,False,2018-11-16 20:50:02.000,0.6.0,6.0,tensorframes,,,,"['tensorflow', 'spark']",1.0,,https://pypi.org/project/tensorframes,2018-05-16 14:20:28.000,1.0,19105.0,19105.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +733,NearPy,pixelogik/NearPy,nn-search,,https://github.com/pixelogik/NearPy,https://github.com/pixelogik/NearPy,MIT,2013-04-25 09:10:26.000,2023-02-23 15:20:18.000000,2023-01-22 20:07:16,161.0,,147.0,36.0,33.0,25.0,39.0,750.0,"Python framework for fast (approximated) nearest neighbour search in large, high-dimensional data sets using different..",20.0,20,False,2016-09-27 13:04:44.000,1.0.0,8.0,NearPy,,,,,116.0,100.0,https://pypi.org/project/NearPy,2016-09-27 13:03:12.000,16.0,744.0,744.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +734,Auto TS,AutoViML/Auto_TS,time-series-data,,https://github.com/AutoViML/Auto_TS,https://github.com/AutoViML/Auto_TS,Apache-2.0,2020-02-15 15:23:32.000,2024-01-28 21:21:14.000000,2024-01-28 21:21:14,295.0,16.0,107.0,17.0,24.0,,85.0,660.0,"Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of..",12.0,20,True,2024-01-28 14:11:58.000,0.0.90,37.0,auto-ts,,,,,,,https://pypi.org/project/auto-ts,2024-01-28 14:11:58.000,,3793.0,3793.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +735,TensorBoard Logger,TeamHG-Memex/tensorboard_logger,ml-experiments,,https://github.com/TeamHG-Memex/tensorboard_logger,https://github.com/TeamHG-Memex/tensorboard_logger,MIT,2016-10-27 14:02:25.000,2022-12-26 20:24:35.000000,2019-10-21 07:52:07,46.0,,53.0,30.0,12.0,11.0,15.0,632.0,Log TensorBoard events without touching TensorFlow.,5.0,20,False,2018-02-08 07:28:51.000,0.1.0,5.0,tensorboard_logger,,,,,221.0,167.0,https://pypi.org/project/tensorboard_logger,2018-02-08 07:28:51.000,54.0,6065.0,6065.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +736,detecto,alankbi/detecto,image,,https://github.com/alankbi/detecto,https://github.com/alankbi/detecto,MIT,2019-12-11 21:50:28.000,2023-07-28 19:05:13.000000,2022-02-09 16:35:40,142.0,,104.0,24.0,25.0,43.0,61.0,608.0,Build fully-functioning computer vision models with PyTorch.,12.0,20,False,2022-02-02 00:22:07.000,1.2.2,13.0,detecto,conda-forge/detecto,,,['pytorch'],158.0,156.0,https://pypi.org/project/detecto,2022-02-02 00:12:06.000,2.0,1580.0,1691.0,https://anaconda.org/conda-forge/detecto,2023-06-16 19:26:16.964,3555.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +737,PyWaffle,gyli/PyWaffle,data-viz,,https://github.com/gyli/PyWaffle,https://github.com/gyli/PyWaffle,MIT,2017-11-14 20:03:47.000,2023-06-16 16:12:33.889000,2022-06-08 03:46:02,305.0,,103.0,10.0,14.0,5.0,16.0,569.0,Make Waffle Charts in Python.,6.0,20,False,2022-06-08 03:10:36.000,1.1.0,27.0,pywaffle,conda-forge/pywaffle,,,,320.0,316.0,https://pypi.org/project/pywaffle,2022-06-08 03:10:36.000,4.0,3649.0,3833.0,https://anaconda.org/conda-forge/pywaffle,2023-06-16 16:12:33.889,11413.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +738,seglearn,dmbee/seglearn,time-series-data,,https://github.com/dmbee/seglearn,https://github.com/dmbee/seglearn,BSD-3-Clause,2018-03-05 20:53:59.000,2022-08-27 09:01:18.000000,2022-08-27 09:00:35,283.0,,64.0,29.0,31.0,5.0,24.0,560.0,Python module for machine learning time series:.,14.0,20,False,2022-08-27 09:04:02.113,1.2.5,24.0,seglearn,,,,,49.0,47.0,https://pypi.org/project/seglearn,2021-03-13 16:18:30.000,2.0,639.0,639.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +739,recmetrics,statisticianinstilettos/recmetrics,recommender-systems,,https://github.com/statisticianinstilettos/recmetrics,https://github.com/statisticianinstilettos/recmetrics,MIT,2018-10-15 15:29:49.000,2024-01-11 20:34:53.000000,2023-10-04 12:31:54,297.0,,95.0,15.0,53.0,10.0,15.0,549.0,A library of metrics for evaluating recommender systems.,20.0,20,True,2022-04-26 18:03:18.000,0.1.5,1.0,recmetrics,,,,,48.0,48.0,https://pypi.org/project/recmetrics,,,10910.0,10910.0,,,,,,,,3.0,5.0,,,,,,,,,,,,,,,,,,,, +740,pyhsmm,mattjj/pyhsmm,probabilistics,,https://github.com/mattjj/pyhsmm,https://github.com/mattjj/pyhsmm,MIT,2012-03-18 17:40:13.000,2022-10-26 08:37:57.000000,2020-08-24 17:03:59,1426.0,,165.0,57.0,20.0,39.0,60.0,535.0,Bayesian inference in HSMMs and HMMs.,13.0,20,False,2017-05-10 17:14:37.000,0.1.7,8.0,pyhsmm,,,,,33.0,28.0,https://pypi.org/project/pyhsmm,2017-05-10 17:14:37.000,5.0,80.0,80.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +741,pykale,pykale/pykale,others,,https://github.com/pykale/pykale,https://github.com/pykale/pykale,MIT,2020-06-30 08:06:10.000,2024-01-20 21:41:29.000000,2024-01-10 08:10:55,2818.0,84.0,60.0,12.0,255.0,9.0,109.0,417.0,Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary..,22.0,20,True,2023-07-13 11:41:03.541,0.1.2,12.0,pykale,,,,['pytorch'],1.0,1.0,https://pypi.org/project/pykale,2022-04-12 08:56:50.000,,73.0,73.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +742,model-card-toolkit,tensorflow/model-card-toolkit,interpretability,,https://github.com/tensorflow/model-card-toolkit,https://github.com/tensorflow/model-card-toolkit,Apache-2.0,2020-07-24 16:48:58.000,2023-07-26 12:05:00.000000,2023-07-26 12:04:59,273.0,,81.0,20.0,247.0,10.0,23.0,397.0,A toolkit that streamlines and automates the generation of model cards.,22.0,20,True,2023-04-03 18:05:05.715,2.0.0,12.0,model-card-toolkit,,,,,24.0,23.0,https://pypi.org/project/model-card-toolkit,2022-04-28 16:34:21.000,1.0,1134.0,1134.0,,,,,,,,3.0,18.0,,,,,,,,,,,,,,,,,,,, +743,textaugment,dsfsi/textaugment,nlp,,https://github.com/dsfsi/textaugment,https://github.com/dsfsi/textaugment,MIT,2019-05-06 12:28:19.000,2024-01-09 17:09:55.000000,2023-11-17 08:50:12,72.0,3.0,58.0,8.0,11.0,11.0,18.0,360.0,TextAugment: Text Augmentation Library.,8.0,20,True,2023-11-16 20:54:10.000,2.0.0,9.0,textaugment,,,,,77.0,73.0,https://pypi.org/project/textaugment,2023-11-16 20:49:04.000,4.0,4044.0,4045.0,,,,,,,,3.0,64.0,,,,,,,,,,,,,,,,,,,, +744,TimeSide,Parisson/TimeSide,audio,,https://github.com/yomguy/TimeSide,https://github.com/yomguy/TimeSide,AGPL-3.0,2011-11-21 21:48:08.000,2023-10-24 10:20:08.000000,2023-02-01 10:38:52,3728.0,,61.0,27.0,110.0,33.0,184.0,360.0,scalable audio processing framework and server written in Python.,22.0,20,False,2023-01-03 17:34:09.000,1.1.3,28.0,TimeSide,,,,,31.0,17.0,https://pypi.org/project/TimeSide,2020-11-27 09:33:19.000,14.0,88.0,88.0,,,,,,,,3.0,,,,yomguy/TimeSide,,,,,,,,,,,,,,,,, +745,MXBoard,awslabs/mxboard,ml-experiments,,https://github.com/awslabs/mxboard,https://github.com/awslabs/mxboard,Apache-2.0,2018-02-06 23:03:51.000,2021-11-30 10:46:24.000000,2020-01-24 23:21:55,42.0,,47.0,26.0,19.0,15.0,16.0,326.0,Logging MXNet data for visualization in TensorBoard.,9.0,20,False,2018-05-22 20:25:51.000,0.1.0,12.0,mxboard,,,,['mxnet'],240.0,234.0,https://pypi.org/project/mxboard,2018-05-22 20:25:51.000,6.0,1674.0,1674.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +746,sk-dist,Ibotta/sk-dist,distributed-ml,,https://github.com/Ibotta/sk-dist,https://github.com/Ibotta/sk-dist,Apache-2.0,2019-08-14 21:07:17.000,2023-03-23 15:39:49.000000,2023-02-07 20:17:52,60.0,,56.0,26.0,41.0,8.0,10.0,287.0,Distributed scikit-learn meta-estimators in PySpark.,8.0,20,False,2020-05-14 22:20:14.000,0.1.9,12.0,sk-dist,,,,"['sklearn', 'spark']",18.0,16.0,https://pypi.org/project/sk-dist,2020-05-14 22:20:14.000,2.0,280492.0,280492.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +747,miceforest,AnotherSamWilson/miceforest,tabular,,https://github.com/AnotherSamWilson/miceforest,https://github.com/AnotherSamWilson/miceforest,MIT,2020-08-22 00:00:22.000,2023-11-16 02:17:24.000000,2023-11-16 02:17:17,251.0,6.0,24.0,8.0,4.0,21.0,60.0,281.0,Multiple Imputation with LightGBM in Python.,6.0,20,False,2022-12-12 14:01:15.000,DOI,8.0,miceforest,conda-forge/miceforest,,,,115.0,115.0,https://pypi.org/project/miceforest,,,27084.0,27463.0,https://anaconda.org/conda-forge/miceforest,2023-06-16 19:26:58.237,11757.0,,,,,3.0,,-3.0,,,,,,,,,,,,,,,,,,, +748,PipelineDP,OpenMined/PipelineDP,privacy-ml,,https://github.com/OpenMined/PipelineDP,https://github.com/OpenMined/PipelineDP,Apache-2.0,2021-02-10 18:04:22.000,2023-12-04 13:11:50.000000,2023-12-04 13:11:50,418.0,11.0,74.0,22.0,431.0,28.0,51.0,266.0,PipelineDP is a Python framework for applying differentially private aggregations to large datasets using batch..,31.0,20,False,2023-10-25 10:51:36.000,0.2.1,23.0,pipeline-dp,,,,,1.0,1.0,https://pypi.org/project/pipeline-dp,2023-11-22 19:01:05.000,,132.0,132.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +749,Glow,projectglow/glow,medical-data,,https://github.com/projectglow/glow,https://github.com/projectglow/glow,Apache-2.0,2019-10-04 21:26:47.000,2024-02-01 03:55:23.000000,2024-02-01 03:55:23,402.0,2.0,103.0,19.0,393.0,57.0,97.0,251.0,An open-source toolkit for large-scale genomic analysis.,24.0,20,False,2022-04-21 00:32:28.000,1.2.1,15.0,glow.py,conda-forge/glow,,,,,,https://pypi.org/project/glow.py,2022-04-19 23:43:38.000,,77621.0,77727.0,https://anaconda.org/conda-forge/glow,2023-06-16 19:24:57.965,3817.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +750,pyRDF2Vec,IBCNServices/pyRDF2Vec,graph,,https://github.com/IBCNServices/pyRDF2Vec,https://github.com/IBCNServices/pyRDF2Vec,MIT,2019-06-13 11:36:12.000,2024-01-02 08:24:08.000000,2023-07-02 18:02:16,1462.0,,45.0,15.0,161.0,18.0,64.0,235.0,Python Implementation and Extension of RDF2Vec.,7.0,20,False,2021-06-09 10:56:14.000,0.2.3,11.0,pyrdf2vec,,,,,41.0,39.0,https://pypi.org/project/pyrdf2vec,2021-06-09 10:56:14.000,2.0,235.0,235.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +751,Larq Compute Engine,larq/compute-engine,model-serialisation,,https://github.com/larq/compute-engine,https://github.com/larq/compute-engine,Apache-2.0,2019-08-29 15:02:43.000,2024-01-18 07:16:13.000000,2024-01-18 07:16:12,582.0,6.0,32.0,24.0,635.0,21.0,127.0,233.0,Highly optimized inference engine for Binarized Neural Networks.,18.0,20,False,2023-08-10 10:30:37.000,0.13.0,20.0,larq-compute-engine,,,,,7.0,7.0,https://pypi.org/project/larq-compute-engine,2023-08-10 10:30:37.000,,1528.0,1548.0,,,,,,,,3.0,995.0,,,,,,,,,,,,,,,,,,,, +752,pyfasttext,vrasneur/pyfasttext,nlp,,https://github.com/vrasneur/pyfasttext,https://github.com/vrasneur/pyfasttext,GPL-3.0,2017-06-30 18:44:42.000,2018-12-08 15:32:09.000000,2018-12-08 15:02:12,153.0,,31.0,9.0,4.0,20.0,29.0,228.0,Yet another Python binding for fastText.,4.0,20,False,2018-12-08 15:32:09.000,0.4.6,13.0,pyfasttext,,,,,407.0,393.0,https://pypi.org/project/pyfasttext,2018-12-08 15:32:09.000,14.0,1293.0,1297.0,,,,,,,,3.0,365.0,,,,,,,,,,,,,,,,,,,, +753,Funsor,pyro-ppl/funsor,probabilistics,,https://github.com/pyro-ppl/funsor,https://github.com/pyro-ppl/funsor,Apache-2.0,2019-01-30 23:13:39.000,2023-08-31 18:37:21.000000,2023-08-31 18:34:42,577.0,,19.0,20.0,464.0,90.0,76.0,228.0,Functional tensors for probabilistic programming.,11.0,20,False,2023-08-31 18:37:22.000,0.4.6,12.0,funsor,,,,['pytorch'],73.0,66.0,https://pypi.org/project/funsor,2023-01-23 08:32:39.757,7.0,55955.0,55955.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +754,numerizer,jaidevd/numerizer,nlp,,https://github.com/jaidevd/numerizer,https://github.com/jaidevd/numerizer,MIT,2019-12-02 07:00:34.000,2023-05-01 07:53:03.000000,2023-05-01 07:50:02,24.0,,23.0,8.0,11.0,5.0,9.0,210.0,A Python module to convert natural language numerics into ints and floats.,4.0,20,False,2023-05-01 07:55:52.405,0.2.3,11.0,numerizer,,,,,74.0,72.0,https://pypi.org/project/numerizer,2023-01-03 08:08:01.830,2.0,68142.0,68142.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +755,OpenNRE,thunlp/OpenNRE,nlp,,https://github.com/thunlp/OpenNRE,https://github.com/thunlp/OpenNRE,MIT,2017-02-26 07:37:12.000,2024-01-10 11:52:49.000000,2024-01-10 11:52:48,177.0,11.0,1028.0,120.0,24.0,11.0,352.0,4178.0,An Open-Source Package for Neural Relation Extraction (NRE).,13.0,19,True,,,,,,,,,3.0,3.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +756,igel,nidhaloff/igel,hyperopt,,https://github.com/nidhaloff/igel,https://github.com/nidhaloff/igel,MIT,2020-08-27 20:54:59.000,2023-04-08 21:24:52.000000,2023-04-08 21:24:51,429.0,,168.0,66.0,54.0,6.0,44.0,3075.0,"a delightful machine learning tool that allows you to train, test, and use models without writing code.",20.0,19,True,2021-11-19 16:51:47.000,1.0.0,34.0,igel,,,,,4.0,4.0,https://pypi.org/project/igel,2021-11-19 16:45:29.543,,92.0,92.0,,,,,,,,3.0,40.0,,,,,,,,,,,,,,,,,,,, +757,pdftabextract,WZBSocialScienceCenter/pdftabextract,ocr,,https://github.com/WZBSocialScienceCenter/pdftabextract,https://github.com/WZBSocialScienceCenter/pdftabextract,Apache-2.0,2016-07-08 11:44:46.000,2022-06-24 09:51:22.000000,2022-06-24 09:51:22,171.0,,360.0,86.0,4.0,3.0,18.0,2137.0,A set of tools for extracting tables from PDF files helping to do data mining on (OCR-processed) scanned documents.,3.0,19,False,,,,pdftabextract,,,,,48.0,48.0,https://pypi.org/project/pdftabextract,,,300.0,300.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +758,fastFM,ibayer/fastFM,recommender-systems,,https://github.com/ibayer/fastFM,https://github.com/ibayer/fastFM,,2014-10-27 12:25:51.000,2022-07-17 13:12:39.000000,2021-03-24 12:22:31,297.0,,198.0,28.0,61.0,47.0,60.0,1057.0,fastFM: A Library for Factorization Machines.,20.0,19,False,2017-11-22 16:13:16.000,0.2.11,10.0,fastfm,,,,,119.0,119.0,https://pypi.org/project/fastfm,,,396.0,401.0,,,,,,,,3.0,594.0,,,,,,,,,,,,,,,,,,,, +759,Performer Pytorch,lucidrains/performer-pytorch,pytorch-utils,,https://github.com/lucidrains/performer-pytorch,https://github.com/lucidrains/performer-pytorch,MIT,2020-10-03 03:41:36.000,2022-02-02 20:34:04.000000,2022-02-02 20:33:18,124.0,,139.0,17.0,11.0,41.0,43.0,1029.0,"An implementation of Performer, a linear attention-based transformer, in Pytorch.",6.0,19,False,2022-02-02 20:34:04.000,1.1.4,80.0,performer-pytorch,,,,['pytorch'],116.0,111.0,https://pypi.org/project/performer-pytorch,2022-02-02 20:34:04.000,5.0,1845.0,1845.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +760,robustness,MadryLab/robustness,adversarial,,https://github.com/MadryLab/robustness,https://github.com/MadryLab/robustness,MIT,2019-08-21 09:26:33.000,2024-01-11 13:06:10.000000,2022-02-14 20:43:06,145.0,,165.0,18.0,42.0,22.0,59.0,866.0,"A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.",13.0,19,False,2020-12-01 06:11:12.000,1.2.1.post2,10.0,robustness,conda-forge/robustness,,,,170.0,167.0,https://pypi.org/project/robustness,2020-12-01 06:21:33.000,3.0,524.0,715.0,https://anaconda.org/conda-forge/robustness,2023-06-16 19:21:11.893,8040.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +761,pytorch2keras,gmalivenko/pytorch2keras,model-serialisation,,https://github.com/gmalivenko/pytorch2keras,https://github.com/gmalivenko/pytorch2keras,MIT,2017-11-16 20:21:43.000,2022-12-08 11:42:52.000000,2021-08-06 08:18:46,282.0,,143.0,15.0,24.0,58.0,69.0,845.0,PyTorch to Keras model convertor.,13.0,19,False,2020-05-14 10:03:56.000,0.2.4,23.0,pytorch2keras,,,,,94.0,93.0,https://pypi.org/project/pytorch2keras,2020-05-14 10:03:56.000,1.0,564.0,564.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +762,Dragonfly,dragonfly/dragonfly,hyperopt,,https://github.com/dragonfly/dragonfly,https://github.com/dragonfly/dragonfly,MIT,2018-04-20 22:19:50.000,2023-06-19 20:23:17.000000,2022-10-01 22:21:50,400.0,,225.0,31.0,38.0,39.0,21.0,825.0,An open source python library for scalable Bayesian optimisation.,13.0,19,False,2022-10-01 22:28:00.848,0.1.7,10.0,dragonfly-opt,,,,,2.0,,https://pypi.org/project/dragonfly-opt,2022-10-01 22:28:00.848,2.0,7271.0,7271.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +763,evojax,google/evojax,jax-utils,,https://github.com/google/evojax,https://github.com/google/evojax,Apache-2.0,2021-12-07 00:30:07.000,2023-10-03 19:59:49.000000,2023-08-29 06:49:30,294.0,,62.0,23.0,47.0,10.0,17.0,742.0,EvoJAX: Hardware-accelerated Neuroevolution.,14.0,19,True,2023-08-29 06:52:02.000,0.2.16,22.0,evojax,conda-forge/evojax,,,['jax'],20.0,18.0,https://pypi.org/project/evojax,2023-08-29 06:52:02.000,2.0,804.0,1743.0,https://anaconda.org/conda-forge/evojax,2023-08-29 10:08:55.843,22537.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +764,matrixprofile-ts,target/matrixprofile-ts,time-series-data,,https://github.com/target/matrixprofile-ts,https://github.com/target/matrixprofile-ts,Apache-2.0,2018-09-10 19:03:34.000,2023-04-23 10:08:18.000000,2020-04-25 18:37:42,198.0,,102.0,26.0,48.0,19.0,35.0,724.0,A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile.,15.0,19,False,2019-08-08 01:24:38.000,0.0.9,9.0,matrixprofile-ts,,,,,26.0,24.0,https://pypi.org/project/matrixprofile-ts,2019-08-08 01:24:38.000,2.0,370.0,370.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +765,combo,yzhao062/combo,sklearn-utils,,https://github.com/yzhao062/combo,https://github.com/yzhao062/combo,BSD-2-Clause,2019-07-14 01:13:36.000,2023-01-14 04:46:24.000000,2023-01-14 04:46:24,210.0,,105.0,30.0,1.0,13.0,3.0,632.0,(AAAI 20) A Python Toolbox for Machine Learning Model Combination.,2.0,19,False,2020-02-19 02:11:55.000,V0.1.0,1.0,combo,,,,"['sklearn', 'xgboost']",601.0,601.0,https://pypi.org/project/combo,,,17159.0,17159.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +766,tcav,tensorflow/tcav,interpretability,,https://github.com/tensorflow/tcav,https://github.com/tensorflow/tcav,Apache-2.0,2018-07-03 17:45:35.000,2024-01-23 00:12:47.000000,2021-09-16 17:56:31,171.0,,143.0,35.0,81.0,14.0,55.0,606.0,Code for the TCAV ML interpretability project.,19.0,19,False,2021-02-23 16:17:42.000,0.2.2,4.0,tcav,,,,['tensorflow'],22.0,19.0,https://pypi.org/project/tcav,2021-02-23 16:17:42.000,3.0,95.0,95.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +767,opytimizer,gugarosa/opytimizer,hyperopt,,https://github.com/gugarosa/opytimizer,https://github.com/gugarosa/opytimizer,Apache-2.0,2017-11-01 16:04:01.000,2023-12-21 13:50:16.000000,2023-12-21 13:50:13,819.0,4.0,38.0,15.0,18.0,,20.0,586.0,Opytimizer is a Python library consisting of meta-heuristic optimization algorithms.,4.0,19,True,2023-09-22 14:58:06.000,3.1.3,27.0,opytimizer,,,,,16.0,16.0,https://pypi.org/project/opytimizer,2022-05-04 20:51:15.000,,163.0,163.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +768,N2,kakao/n2,nn-search,,https://github.com/kakao/n2,https://github.com/kakao/n2,Apache-2.0,2017-11-23 02:27:59.000,2023-06-27 16:54:16.000000,2023-06-27 16:54:13,266.0,,75.0,39.0,17.0,13.0,22.0,562.0,TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast even with large datasets.,20.0,19,True,2020-10-16 03:43:47.000,0.1.7,9.0,n2,,,,,35.0,31.0,https://pypi.org/project/n2,2020-10-16 03:10:01.000,4.0,330.0,330.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +769,Poutyne,GRAAL-Research/poutyne,pytorch-utils,,https://github.com/GRAAL-Research/poutyne,https://github.com/GRAAL-Research/poutyne,LGPL-3.0,2017-12-07 18:30:17.000,2023-07-09 16:15:44.000000,2023-07-09 16:09:49,767.0,,63.0,18.0,111.0,8.0,48.0,557.0,A simplified framework and utilities for PyTorch.,20.0,19,False,2023-07-09 16:15:44.000,1.17.1,37.0,poutyne,,,,['pytorch'],134.0,129.0,https://pypi.org/project/poutyne,2022-04-28 20:18:33.000,5.0,3999.0,3999.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +770,fastT5,Ki6an/fastT5,nlp,,https://github.com/Ki6an/fastT5,https://github.com/Ki6an/fastT5,Apache-2.0,2021-03-11 08:46:42.000,2023-04-24 18:46:40.000000,2022-04-05 03:21:24,38.0,,67.0,12.0,10.0,22.0,41.0,524.0,boost inference speed of T5 models by 5x & reduce the model size by 3x.,5.0,19,False,2022-04-05 03:23:12.000,0.1.4,14.0,fastt5,,,,,46.0,46.0,https://pypi.org/project/fastt5,2022-04-05 03:23:12.000,,1097.0,1097.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +771,deepsnap,snap-stanford/deepsnap,graph,,https://github.com/snap-stanford/deepsnap,https://github.com/snap-stanford/deepsnap,MIT,2020-06-06 21:17:38.000,2023-11-11 03:23:44.000000,2023-11-11 03:23:44,413.0,1.0,54.0,60.0,9.0,23.0,25.0,519.0,Python library assists deep learning on graphs.,18.0,19,True,2021-09-05 23:08:21.000,0.2.1,5.0,deepsnap,,,,,84.0,83.0,https://pypi.org/project/deepsnap,2021-09-05 22:57:16.000,1.0,393.0,393.0,,,,,,,,3.0,10.0,,,,,,,,,,,,,,,,,,,, +772,Auto ViML,AutoViML/Auto_ViML,hyperopt,,https://github.com/AutoViML/Auto_ViML,https://github.com/AutoViML/Auto_ViML,Apache-2.0,2019-06-10 13:09:15.000,2023-12-03 19:05:32.000000,2023-12-03 19:05:16,320.0,1.0,96.0,26.0,6.0,3.0,31.0,485.0,Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome...,8.0,19,True,2023-05-21 22:50:00.406,0.1.716,142.0,autoviml,,,,,26.0,24.0,https://pypi.org/project/autoviml,2022-06-01 23:08:15.000,2.0,750.0,750.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +773,rrcf,kLabUM/rrcf,others,,https://github.com/kLabUM/rrcf,https://github.com/kLabUM/rrcf,MIT,2018-10-20 05:39:05.000,2023-08-12 16:28:59.000000,2023-08-12 16:28:59,266.0,,105.0,20.0,56.0,27.0,20.0,469.0,Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams.,7.0,19,True,2023-04-30 02:25:49.592,0.4.4,8.0,rrcf,,,,,66.0,58.0,https://pypi.org/project/rrcf,2023-04-30 02:25:49.592,8.0,2281.0,2281.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +774,pydlm,wwrechard/pydlm,time-series-data,,https://github.com/wwrechard/pydlm,https://github.com/wwrechard/pydlm,BSD-3-Clause,2016-06-29 07:58:53.000,2023-10-04 01:35:07.000000,2023-09-04 05:41:43,372.0,,97.0,28.0,21.0,37.0,12.0,467.0,A python library for Bayesian time series modeling.,6.0,19,True,2023-05-07 06:30:08.000,0.1.1.12,14.0,pydlm,,,,,35.0,33.0,https://pypi.org/project/pydlm,2018-12-19 10:27:54.000,2.0,21190.0,21190.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +775,elegy,poets-ai/elegy,ml-frameworks,,https://github.com/poets-ai/elegy,https://github.com/poets-ai/elegy,MIT,2020-06-30 14:00:37.000,2022-12-15 19:23:10.000000,2022-05-23 17:26:29,339.0,,30.0,16.0,148.0,39.0,66.0,462.0,A High Level API for Deep Learning in JAX.,18.0,19,False,2022-03-23 21:51:07.000,0.8.6,33.0,elegy,,,,"['tensorflow', 'jax']",43.0,43.0,https://pypi.org/project/elegy,2022-04-22 15:42:03.000,,212.0,212.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +776,ivis,beringresearch/ivis,data-viz,,https://github.com/beringresearch/ivis,https://github.com/beringresearch/ivis,Apache-2.0,2018-08-13 08:31:01.000,2023-11-09 23:19:49.000000,2023-11-09 23:18:48,634.0,11.0,42.0,13.0,63.0,3.0,56.0,314.0,Dimensionality reduction in very large datasets using Siamese Networks.,10.0,19,True,2023-01-11 12:30:05.335,2.0.9,35.0,ivis,,,,['tensorflow'],33.0,31.0,https://pypi.org/project/ivis,2022-03-10 14:57:02.000,2.0,297.0,297.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +777,modelkit,Cornerstone-OnDemand/modelkit,model-serialisation,,https://github.com/Cornerstone-OnDemand/modelkit,https://github.com/Cornerstone-OnDemand/modelkit,MIT,2021-05-14 12:10:51.000,2024-01-19 14:52:18.000000,2024-01-19 14:38:23,853.0,24.0,17.0,8.0,180.0,11.0,21.0,149.0,Toolkit for developing and maintaining ML models.,14.0,19,False,2024-01-19 16:32:14.000,0.1.1,34.0,modelkit,,,,,,,https://pypi.org/project/modelkit,2024-01-19 14:52:18.000,,3521.0,3521.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +778,micrograd,karpathy/micrograd,pytorch-utils,,https://github.com/karpathy/micrograd,https://github.com/karpathy/micrograd,MIT,2020-04-13 04:31:18.000,2024-01-02 19:42:45.000000,2020-04-18 19:15:25,24.0,,924.0,132.0,39.0,31.0,10.0,7248.0,A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API.,2.0,18,False,2020-04-18 19:06:59.000,0.1.0,1.0,micrograd,,,,['pytorch'],36.0,34.0,https://pypi.org/project/micrograd,2020-04-18 19:06:59.000,2.0,627.0,627.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +779,mesh-transformer-jax,kingoflolz/mesh-transformer-jax,distributed-ml,,https://github.com/kingoflolz/mesh-transformer-jax,https://github.com/kingoflolz/mesh-transformer-jax,Apache-2.0,2021-03-13 23:31:13.000,2023-01-21 00:09:29.000000,2023-01-12 19:54:10,143.0,,871.0,109.0,51.0,45.0,159.0,6177.0,Model parallel transformers in JAX and Haiku.,23.0,18,False,,,,,,,,['jax'],20.0,20.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +780,Spotlight,maciejkula/spotlight,recommender-systems,,https://github.com/maciejkula/spotlight,https://github.com/maciejkula/spotlight,MIT,2017-06-25 18:52:19.000,2023-06-16 13:22:46.522000,2020-02-09 21:03:48,299.0,,413.0,107.0,83.0,62.0,48.0,2926.0,Deep recommender models using PyTorch.,11.0,18,False,2019-09-08 10:19:53.000,0.1.6,7.0,,maciejkula/spotlight,,,['pytorch'],,,,,,,106.0,https://anaconda.org/maciejkula/spotlight,2023-06-16 13:22:46.522,8541.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +781,scenic,google-research/scenic,image,,https://github.com/google-research/scenic,https://github.com/google-research/scenic,Apache-2.0,2021-07-12 14:27:08.000,2024-01-31 06:23:36.000000,2024-01-26 09:48:14,652.0,13.0,369.0,37.0,780.0,149.0,106.0,2750.0,Scenic: A Jax Library for Computer Vision Research and Beyond.,76.0,18,True,,,,,,,,['jax'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +782,keepsake,replicate/keepsake,ml-experiments,,https://github.com/replicate/keepsake,https://github.com/replicate/keepsake,Apache-2.0,2020-07-01 04:37:44.000,2023-03-03 23:59:33.000000,2022-05-24 23:48:09,791.0,,71.0,26.0,1004.0,127.0,65.0,1637.0,Version control for machine learning.,17.0,18,False,2021-03-11 21:15:01.000,0.4.2,7.0,keepsake,,,,,1.0,,https://pypi.org/project/keepsake,2021-01-25 21:51:16.000,1.0,183.0,183.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +783,GraphGym,snap-stanford/GraphGym,graph,,https://github.com/snap-stanford/GraphGym,https://github.com/snap-stanford/GraphGym,MIT,2020-10-14 05:01:35.000,2023-11-10 05:37:18.000000,2023-03-14 23:02:49,75.0,,170.0,22.0,20.0,15.0,30.0,1551.0,Platform for designing and evaluating Graph Neural Networks (GNN).,6.0,18,True,2022-03-24 23:28:17.000,0.4.0,3.0,graphgym,,,,,4.0,4.0,https://pypi.org/project/graphgym,2022-03-24 23:19:13.000,,60.0,60.0,,,,,,,,3.0,28.0,,,,,,,,,,,,,,,,,,,, +784,AdvBox,advboxes/AdvBox,adversarial,,https://github.com/advboxes/AdvBox,https://github.com/advboxes/AdvBox,Apache-2.0,2018-08-08 08:55:41.000,2023-02-15 19:57:27.000000,2022-08-08 02:56:23,378.0,,251.0,57.0,65.0,8.0,31.0,1359.0,Advbox is a toolbox to generate adversarial examples that fool neural networks in..,19.0,18,False,2018-12-05 02:48:50.000,0.4.1,2.0,advbox,,,,,2.0,2.0,https://pypi.org/project/advbox,2018-12-05 02:48:50.000,,43.0,43.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +785,PDPbox,SauceCat/PDPbox,data-viz,,https://github.com/SauceCat/PDPbox,https://github.com/SauceCat/PDPbox,MIT,2017-06-26 08:01:54.000,2023-06-10 14:57:37.569000,2023-06-05 01:35:02,228.0,,127.0,17.0,24.0,27.0,39.0,802.0,python partial dependence plot toolbox.,7.0,18,True,2023-06-05 02:44:20.000,0.3.0,3.0,pdpbox,conda-forge/pdpbox,,,,,,https://pypi.org/project/pdpbox,,,24804.0,25164.0,https://anaconda.org/conda-forge/pdpbox,2023-06-10 14:57:37.569,19809.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +786,tffm,geffy/tffm,tensorflow-utils,,https://github.com/geffy/tffm,https://github.com/geffy/tffm,MIT,2016-05-02 17:06:07.000,2022-01-17 20:39:04.000000,2022-01-17 20:38:58,107.0,,188.0,33.0,15.0,18.0,22.0,786.0,TensorFlow implementation of an arbitrary order Factorization Machine.,11.0,18,False,2022-01-17 20:35:57.000,1.0.2,3.0,tffm,,,,['tensorflow'],14.0,13.0,https://pypi.org/project/tffm,2022-01-17 20:35:57.000,1.0,48.0,48.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +787,baikal,alegonz/baikal,others,,https://github.com/alegonz/baikal,https://github.com/alegonz/baikal,BSD-3-Clause,2019-01-21 12:59:02.000,2023-10-01 08:59:57.840000,2021-04-11 07:50:00,405.0,,29.0,19.0,42.0,6.0,18.0,594.0,A graph-based functional API for building complex scikit-learn pipelines.,2.0,18,False,2020-11-15 13:40:18.000,0.4.2,15.0,baikal,conda-forge/cython-blis,,,,11.0,10.0,https://pypi.org/project/baikal,2020-11-15 13:40:18.000,1.0,304.0,50130.0,https://anaconda.org/conda-forge/cython-blis,2023-10-01 08:59:57.840,2042902.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +788,Auto Tune Models,HDI-Project/ATM,hyperopt,,https://github.com/HDI-Project/ATM,https://github.com/HDI-Project/ATM,MIT,2016-10-14 18:03:00.000,2020-02-21 17:44:07.000000,2020-02-21 17:40:58,775.0,,137.0,58.0,72.0,18.0,71.0,523.0,"Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).",17.0,18,False,2019-07-30 09:28:26.000,0.2.2,14.0,atm,,,,,18.0,18.0,https://pypi.org/project/atm,2019-07-30 09:25:11.000,,72.0,72.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +789,scikit-tda,scikit-tda/scikit-tda,sklearn-utils,,https://github.com/scikit-tda/scikit-tda,https://github.com/scikit-tda/scikit-tda,MIT,2018-04-13 21:00:31.000,2022-03-13 16:33:15.000000,2022-03-13 16:33:15,64.0,,50.0,18.0,7.0,16.0,4.0,473.0,Topological Data Analysis for Python.,4.0,18,False,2021-08-03 00:23:20.000,1.0.0,4.0,scikit-tda,,,,['sklearn'],50.0,50.0,https://pypi.org/project/scikit-tda,2021-08-03 00:23:20.000,,3100.0,3100.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +790,Case Recommender,caserec/CaseRecommender,recommender-systems,,https://github.com/caserec/CaseRecommender,https://github.com/caserec/CaseRecommender,MIT,2015-11-12 18:25:39.000,2024-01-10 20:36:33.000000,2021-11-25 23:08:43,204.0,,89.0,24.0,19.0,5.0,20.0,453.0,Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems.,11.0,18,False,2021-11-25 23:10:34.000,1.1.1,2.0,caserecommender,,,,['sklearn'],12.0,12.0,https://pypi.org/project/caserecommender,,,141.0,141.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +791,Sematch,gsi-upm/sematch,graph,,https://github.com/gsi-upm/sematch,https://github.com/gsi-upm/sematch,Apache-2.0,2012-11-30 11:11:53.000,2023-11-07 11:11:44.000000,2023-11-07 11:10:46,137.0,5.0,105.0,71.0,7.0,15.0,19.0,419.0,semantic similarity framework for knowledge graph.,10.0,18,True,2017-04-17 10:56:52.000,1.0.4,5.0,sematch,,,,,49.0,46.0,https://pypi.org/project/sematch,2017-04-17 10:56:52.000,3.0,215.0,215.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +792,animatplot,t-makaro/animatplot,data-viz,,https://github.com/t-makaro/animatplot,https://github.com/t-makaro/animatplot,MIT,2017-04-03 00:54:04.000,2023-06-16 16:14:07.121000,2020-10-05 06:14:18,178.0,,39.0,11.0,29.0,17.0,17.0,406.0,A python package for animating plots build on matplotlib.,7.0,18,False,2020-10-05 06:20:52.000,0.4.2,10.0,animatplot,conda-forge/animatplot,,,,60.0,57.0,https://pypi.org/project/animatplot,2020-10-05 06:20:52.000,3.0,508.0,722.0,https://anaconda.org/conda-forge/animatplot,2023-06-16 16:14:07.121,12872.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +793,pymdp,infer-actively/pymdp,others,,https://github.com/infer-actively/pymdp,https://github.com/infer-actively/pymdp,MIT,2019-11-27 19:03:35.000,2024-01-25 22:56:45.000000,2023-08-19 12:43:22,678.0,,61.0,30.0,79.0,15.0,25.0,356.0,A Python implementation of active inference for Markov Decision Processes.,14.0,18,True,2023-03-25 17:58:52.000,0.0.7.1,8.0,inferactively-pymdp,,,,,9.0,9.0,https://pypi.org/project/inferactively-pymdp,2022-12-08 15:25:01.498,,161.0,161.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +794,tsflex,predict-idlab/tsflex,time-series-data,,https://github.com/predict-idlab/tsflex,https://github.com/predict-idlab/tsflex,MIT,2021-07-06 15:16:45.577,2024-01-23 16:36:20.000000,2023-10-04 14:18:48,810.0,,24.0,7.0,68.0,27.0,19.0,348.0,Flexible time series feature extraction & processing.,6.0,18,True,2023-02-23 13:56:43.000,0.3.0,36.0,tsflex,conda-forge/tsflex,,,,11.0,11.0,https://pypi.org/project/tsflex,2022-10-11 21:38:11.312,,275.0,926.0,https://anaconda.org/conda-forge/tsflex,2023-06-16 19:26:46.251,20182.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +795,Camphr,PKSHATechnology-Research/camphr,nlp,,https://github.com/PKSHATechnology-Research/camphr,https://github.com/PKSHATechnology-Research/camphr,Apache-2.0,2020-02-10 03:39:58.000,2022-12-09 05:56:02.000000,2021-08-18 06:06:51,1404.0,,17.0,6.0,217.0,2.0,26.0,340.0,Camphr - NLP libary for creating pipeline components.,7.0,18,False,2020-08-21 04:45:06.000,0.7.0,21.0,camphr,,,,['spacy'],13.0,13.0,https://pypi.org/project/camphr,,,389.0,389.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +796,fairness-indicators,tensorflow/fairness-indicators,interpretability,,https://github.com/tensorflow/fairness-indicators,https://github.com/tensorflow/fairness-indicators,Apache-2.0,2019-09-30 22:56:45.000,2024-01-16 18:36:21.000000,2024-01-16 18:36:16,318.0,2.0,78.0,26.0,328.0,21.0,9.0,329.0,Tensorflows Fairness Evaluation and Visualization Toolkit.,34.0,18,True,2023-05-03 23:01:17.460,0.44.0,30.0,fairness-indicators,,,,"['tensorflow', 'jupyter']",,,https://pypi.org/project/fairness-indicators,2022-12-13 19:06:03.653,,2156.0,2156.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +797,Sherpa,sherpa-ai/sherpa,hyperopt,,https://github.com/sherpa-ai/sherpa,https://github.com/sherpa-ai/sherpa,GPL-3.0,2018-05-16 21:41:54.000,2020-10-18 07:57:50.000000,2020-10-18 07:57:48,823.0,,51.0,11.0,60.0,17.0,41.0,325.0,"Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.",43.0,18,False,2020-07-31 05:29:09.000,1.0.7,8.0,parameter-sherpa,,,,,37.0,33.0,https://pypi.org/project/parameter-sherpa,2019-11-23 21:32:27.000,4.0,252.0,252.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +798,solt,Oulu-IMEDS/solt,image,,https://github.com/Oulu-IMEDS/solt,https://github.com/Oulu-IMEDS/solt,MIT,2018-08-02 15:09:05.000,2023-07-17 13:39:53.000000,2022-07-12 07:44:31,366.0,,19.0,6.0,31.0,20.0,39.0,261.0,Streaming over lightweight data transformations.,5.0,18,False,2020-03-10 14:09:31.000,0.1.9,18.0,solt,,,,,54.0,51.0,https://pypi.org/project/solt,2020-03-10 14:09:31.000,3.0,465.0,465.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +799,OMLT,cog-imperial/omlt,model-serialisation,,https://github.com/cog-imperial/OMLT,https://github.com/cog-imperial/OMLT,BSD-3-Clause,2021-06-03 12:39:38.000,2024-01-29 18:34:13.000000,2023-12-05 10:10:07,457.0,8.0,49.0,14.0,77.0,13.0,35.0,231.0,Represent trained machine learning models as Pyomo optimization formulations.,17.0,18,False,2022-01-21 16:05:52.000,0.3.1,7.0,omlt,,,,,1.0,,https://pypi.org/project/omlt,2022-02-08 01:23:07.000,1.0,4723.0,4723.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +800,celer,mathurinm/celer,sklearn-utils,,https://github.com/mathurinm/celer,https://github.com/mathurinm/celer,BSD-3-Clause,2018-02-20 19:37:31.000,2023-07-26 15:59:24.000000,2023-07-21 09:03:49,260.0,,30.0,12.0,197.0,21.0,73.0,186.0,"Fast solver for L1-type problems: Lasso, sparse Logisitic regression, Group Lasso, weighted Lasso, Multitask Lasso, etc.",11.0,18,False,2023-07-26 15:36:39.000,0.7.3,15.0,celer,,,,['sklearn'],33.0,32.0,https://pypi.org/project/celer,2023-07-26 15:36:39.000,1.0,542.0,542.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +801,ipyexperiments,stas00/ipyexperiments,gpu-utilities,,https://github.com/stas00/ipyexperiments,https://github.com/stas00/ipyexperiments,Apache-2.0,2018-11-15 01:19:40.000,2023-12-15 03:22:24.000000,2023-12-15 03:22:22,207.0,4.0,11.0,8.0,2.0,,5.0,181.0,"Automatic GPU+CPU memory profiling, re-use and memory leaks detection using jupyter/ipython experiment containers.",3.0,18,False,2023-12-15 03:21:06.000,0.1.29,25.0,ipyexperiments,,,,['jupyter'],10.0,8.0,https://pypi.org/project/ipyexperiments,2023-12-15 03:21:06.000,2.0,252.0,252.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +802,nvidia-ml-py3,nicolargo/nvidia-ml-py3,gpu-utilities,,https://github.com/nicolargo/nvidia-ml-py3,https://github.com/nicolargo/nvidia-ml-py3,BSD-3-Clause,2017-06-03 07:47:03.000,2023-07-28 07:11:13.000000,2019-03-06 20:41:09,5.0,,57.0,5.0,2.0,2.0,1.0,126.0,Python 3 Bindings for the NVIDIA Management Library.,2.0,18,False,2017-06-03 07:43:46.000,7.352.0,1.0,nvidia-ml-py3,anaconda/nvidia-ml,,,,8794.0,8608.0,https://pypi.org/project/nvidia-ml-py3,2017-06-03 07:43:46.000,186.0,325203.0,325237.0,https://anaconda.org/anaconda/nvidia-ml,2023-06-16 19:26:58.970,1066.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +803,DeepMind Lab,deepmind/lab,reinforcement-learning,,https://github.com/google-deepmind/lab,https://github.com/google-deepmind/lab,,2016-11-30 13:41:26.000,2023-01-04 15:38:37.000000,2023-01-04 15:19:06,509.0,,1340.0,471.0,21.0,56.0,167.0,6972.0,A customisable 3D platform for agent-based AI research.,9.0,17,False,2020-12-07 11:26:33.000,release-2020-12-07,8.0,,,,,,,,,,,,,,,,,,,,3.0,,,,google-deepmind/lab,,,,,,,,,,,,,,,,, +804,OpenKE,thunlp/OpenKE,graph,,https://github.com/thunlp/OpenKE,https://github.com/thunlp/OpenKE,MIT,2017-10-08 11:20:23.000,2024-01-10 11:51:05.000000,2024-01-10 11:51:05,143.0,29.0,982.0,103.0,28.0,27.0,355.0,3641.0,An Open-Source Package for Knowledge Embedding (KE).,14.0,17,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +805,Advisor,tobegit3hub/advisor,hyperopt,,https://github.com/tobegit3hub/advisor,https://github.com/tobegit3hub/advisor,Apache-2.0,2017-09-14 03:50:33.000,2019-11-11 07:09:57.869705,2019-11-11 06:59:31,165.0,,256.0,52.0,13.0,20.0,13.0,1538.0,Open-source implementation of Google Vizier for hyper parameters tuning.,11.0,17,False,2018-10-18 02:54:09.000,0.1.6,4.0,advisor,,tobegit3hub/advisor,,,,,https://pypi.org/project/advisor,2018-10-18 02:54:09.000,,62.0,83.0,,,,https://hub.docker.com/r/tobegit3hub/advisor,2019-11-11 07:09:57.869705,,1686.0,3.0,,,,,,,,,,,,,,,,,,,,, +806,Tez,abhishekkrthakur/tez,pytorch-utils,,https://github.com/abhishekkrthakur/tez,https://github.com/abhishekkrthakur/tez,Apache-2.0,2020-11-13 10:19:22.000,2023-01-29 16:52:18.000000,2022-09-16 11:03:31,144.0,,143.0,18.0,11.0,25.0,18.0,1157.0,Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle..,2.0,17,False,2022-09-20 02:28:33.973,0.7.2,26.0,tez,,,,['pytorch'],51.0,49.0,https://pypi.org/project/tez,2022-09-20 02:28:33.973,2.0,167.0,167.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +807,Torch-Struct,harvardnlp/pytorch-struct,pytorch-utils,,https://github.com/harvardnlp/pytorch-struct,https://github.com/harvardnlp/pytorch-struct,MIT,2019-08-26 19:34:30.000,2022-04-20 08:21:20.000000,2022-01-30 19:49:08,271.0,,88.0,35.0,72.0,25.0,30.0,1095.0,"Fast, general, and tested differentiable structured prediction in PyTorch.",16.0,17,False,2021-02-15 20:20:59.000,0.5,2.0,torch-struct,,,,['pytorch'],,,https://pypi.org/project/torch-struct,2021-02-14 02:43:46.000,,2831.0,2831.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +808,XAI,EthicalML/xai,interpretability,,https://github.com/EthicalML/xai,https://github.com/EthicalML/xai,MIT,2019-01-11 20:00:09.000,2021-10-30 06:35:19.000000,2021-10-30 06:30:12,91.0,,148.0,45.0,5.0,3.0,7.0,1014.0,XAI - An eXplainability toolbox for machine learning.,3.0,17,False,2021-10-30 06:35:19.000,0.1.0,6.0,xai,,,,,29.0,23.0,https://pypi.org/project/xai,2021-10-30 06:33:26.000,6.0,205.0,205.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +809,Tensor Sensor,parrt/tensor-sensor,pytorch-utils,,https://github.com/parrt/tensor-sensor,https://github.com/parrt/tensor-sensor,MIT,2020-08-28 22:54:04.000,2023-06-16 19:27:38.210000,2022-04-07 20:49:56,235.0,,36.0,13.0,13.0,8.0,16.0,746.0,"The goal of this library is to generate more helpful exception messages for matrix algebra expressions for numpy,..",4.0,17,False,2021-12-11 21:24:11.000,1.0,37.0,tensor-sensor,conda-forge/tensor-sensor,,,['pytorch'],31.0,31.0,https://pypi.org/project/tensor-sensor,2021-12-11 21:24:35.000,,2688.0,2788.0,https://anaconda.org/conda-forge/tensor-sensor,2023-06-16 19:27:38.210,2824.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +810,parallelformers,tunib-ai/parallelformers,distributed-ml,,https://github.com/tunib-ai/parallelformers,https://github.com/tunib-ai/parallelformers,Apache-2.0,2021-07-17 12:50:43.000,2023-04-24 11:42:30.000000,2022-07-27 19:55:38,93.0,,56.0,15.0,10.0,26.0,17.0,738.0,Parallelformers: An Efficient Model Parallelization Toolkit for Deployment.,5.0,17,False,2022-07-27 19:52:00.185,1.2.7,19.0,parallelformers,,,,,45.0,45.0,https://pypi.org/project/parallelformers,2022-07-27 19:52:00.185,,514.0,514.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +811,Caer,jasmcaus/caer,image,,https://github.com/jasmcaus/caer,https://github.com/jasmcaus/caer,MIT,2020-08-06 18:36:14.000,2023-10-13 12:16:35.000000,2023-04-01 08:26:45,5080.0,,111.0,19.0,58.0,2.0,13.0,731.0,"A lightweight Computer Vision library. Scale your models, not boilerplate.",8.0,17,True,2021-10-13 21:04:12.000,2.0.8,119.0,caer,,,https://caer.rtfd.io,,2.0,,https://pypi.org/project/caer,2021-10-13 21:04:12.000,2.0,3060.0,3060.0,,,,,,,,3.0,30.0,,,,,,,,,,,,,,,,,,,, +812,nboost,koursaros-ai/nboost,nlp,,https://github.com/koursaros-ai/nboost,https://github.com/koursaros-ai/nboost,Apache-2.0,2019-10-29 20:56:24.000,2020-09-30 14:51:16.000000,2020-07-16 19:48:25,1336.0,,65.0,18.0,21.0,29.0,50.0,673.0,"NBoost is a scalable, search-api-boosting platform for deploying transformer models to improve the relevance of search..",10.0,17,False,2020-06-12 20:05:15.000,0.3.9,26.0,nboost,,,,,3.0,3.0,https://pypi.org/project/nboost,2020-06-12 20:05:15.000,,61.0,61.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +813,shap-hypetune,cerlymarco/shap-hypetune,hyperopt,,https://github.com/cerlymarco/shap-hypetune,https://github.com/cerlymarco/shap-hypetune,MIT,2021-05-16 09:30:03.000,2023-10-25 00:20:13.000000,2022-08-24 08:31:37,29.0,,66.0,6.0,5.0,2.0,27.0,518.0,A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.,2.0,17,False,2022-08-24 08:33:07.000,0.2.6,9.0,shap-hypetune,,,,,16.0,15.0,https://pypi.org/project/shap-hypetune,2022-08-24 08:33:00.976,1.0,3663.0,3663.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +814,sklearn-evaluation,edublancas/sklearn-evaluation,interpretability,,https://github.com/edublancas/sklearn-evaluation,https://github.com/edublancas/sklearn-evaluation,MIT,2023-01-15 21:18:52.000,2023-01-15 22:50:39.000000,2023-01-13 21:57:34,832.0,,41.0,,,,,359.0,"Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook..",19.0,17,False,2023-03-23 17:16:00.413,0.12.0,48.0,sklearn-evaluation,,,,['sklearn'],5.0,,https://pypi.org/project/sklearn-evaluation,2020-12-28 15:13:44.000,5.0,2120.0,2120.0,,,,,,,,3.0,,7.0,,,,,,,,,,,,,,,,,,, +815,datmo,datmo/datmo,ml-experiments,,https://github.com/datmo/datmo,https://github.com/datmo/datmo,MIT,2017-11-03 05:46:43.000,2022-06-21 21:41:58.000000,2019-11-29 00:48:44,1051.0,,30.0,11.0,121.0,31.0,150.0,346.0,Open source production model management tool for data scientists.,6.0,17,False,2018-12-07 06:16:42.000,0.0.40,41.0,datmo,,,,,5.0,5.0,https://pypi.org/project/datmo,2018-12-07 06:16:42.000,,60.0,60.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +816,Brainiak,brainiak/brainiak,medical-data,,https://github.com/brainiak/brainiak,https://github.com/brainiak/brainiak,Apache-2.0,2016-02-08 23:19:27.000,2023-12-12 01:10:32.000000,2023-11-27 22:11:53,398.0,2.0,128.0,34.0,323.0,81.0,129.0,321.0,Brain Imaging Analysis Kit.,35.0,17,True,2019-08-27 23:52:29.000,0.9.1,15.0,brainiak,,brainiak/brainiak,,,1.0,,https://pypi.org/project/brainiak,2020-10-15 20:45:08.000,1.0,85.0,103.0,,,,https://hub.docker.com/r/brainiak/brainiak,2020-10-15 21:11:03.379549,1.0,1805.0,3.0,,,,,,,,,,,,,,,,,,,,, +817,bluefog,Bluefog-Lib/bluefog,distributed-ml,,https://github.com/Bluefog-Lib/bluefog,https://github.com/Bluefog-Lib/bluefog,Apache-2.0,2019-12-03 05:27:21.000,2023-03-28 03:38:13.000000,2023-03-28 03:38:13,1094.0,,69.0,28.0,57.0,30.0,32.0,291.0,Distributed and decentralized training framework for PyTorch over graph.,9.0,17,False,2021-05-15 01:39:45.000,0.3.0,10.0,bluefog,,,,['pytorch'],3.0,3.0,https://pypi.org/project/bluefog,2021-05-15 01:39:45.000,,74.0,77.0,,,,,,,,3.0,165.0,,,,,,,,,,,,,,,,,,,, +818,skggm,skggm/skggm,sklearn-utils,,https://github.com/skggm/skggm,https://github.com/skggm/skggm,MIT,2016-06-11 18:35:56.000,2023-06-15 16:53:56.000000,2023-06-15 16:53:55,703.0,,42.0,11.0,59.0,31.0,47.0,232.0,Scikit-learn compatible estimation of general graphical models.,7.0,17,False,2018-09-12 01:12:49.000,0.2.8,6.0,skggm,,,,['sklearn'],16.0,13.0,https://pypi.org/project/skggm,2018-09-12 01:12:49.000,3.0,45.0,45.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +819,Muda,bmcfee/muda,audio,,https://github.com/bmcfee/muda,https://github.com/bmcfee/muda,ISC,2014-11-07 21:21:22.000,2021-12-15 16:53:25.527000,2021-05-03 14:04:36,293.0,,33.0,14.0,36.0,8.0,44.0,224.0,A library for augmenting annotated audio data.,7.0,17,False,2019-11-15 15:46:21.000,0.4.1,12.0,muda,,,,,24.0,22.0,https://pypi.org/project/muda,2019-11-15 15:46:21.000,2.0,41.0,41.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +820,SerpentAI,SerpentAI/SerpentAI,reinforcement-learning,,https://github.com/SerpentAI/SerpentAI,https://github.com/SerpentAI/SerpentAI,MIT,2017-04-16 21:48:39.000,2022-11-07 01:59:31.000000,2020-05-22 22:34:09,250.0,,758.0,339.0,58.0,,,6648.0,Game Agent Framework. Helping you create AIs / Bots that learn to play any game you own!.,7.0,16,False,,,1.0,SerpentAI,,,,,,,https://pypi.org/project/SerpentAI,,,100.0,107.0,,,,,,,,3.0,329.0,,,,,,,,,,,,,,,,,,,, +821,StarSpace,facebookresearch/StarSpace,ml-frameworks,,https://github.com/facebookresearch/StarSpace,https://github.com/facebookresearch/StarSpace,MIT,2017-06-28 17:50:18.000,2022-12-04 04:02:21.000000,2019-12-13 19:03:25,138.0,,539.0,178.0,110.0,54.0,149.0,3903.0,"Learning embeddings for classification, retrieval and ranking.",17.0,16,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +822,GraphEmbedding,shenweichen/GraphEmbedding,graph,,https://github.com/shenweichen/GraphEmbedding,https://github.com/shenweichen/GraphEmbedding,MIT,2019-02-11 16:27:20.000,2022-06-22 11:47:45.000000,2022-06-21 18:24:09,30.0,,961.0,63.0,12.0,39.0,25.0,3521.0,Implementation and experiments of graph embedding algorithms.,9.0,16,False,,,,,,,,['sklearn'],31.0,31.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +823,automl-gs,minimaxir/automl-gs,hyperopt,,https://github.com/minimaxir/automl-gs,https://github.com/minimaxir/automl-gs,MIT,2019-01-13 18:57:44.000,2019-10-22 11:20:40.000000,2019-04-05 06:48:14,102.0,,167.0,61.0,10.0,26.0,6.0,1839.0,"Provide an input CSV and a target field to predict, generate a model + code to run it.",7.0,16,False,2019-04-05 06:51:04.000,0.2.1,2.0,automl_gs,,,,,,,https://pypi.org/project/automl_gs,2019-04-05 06:47:54.000,,34.0,34.0,,,,,,,,3.0,41.0,,,,,,,,,,,,,,,,,,,, +824,NeuroNER,Franck-Dernoncourt/NeuroNER,nlp,,https://github.com/Franck-Dernoncourt/NeuroNER,https://github.com/Franck-Dernoncourt/NeuroNER,MIT,2017-03-07 01:24:15.000,2023-03-24 22:29:09.000000,2019-10-02 23:26:11,132.0,,462.0,81.0,36.0,83.0,68.0,1673.0,Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.,7.0,16,False,2019-03-13 20:28:15.000,1.0-dev2,1.0,pyneuroner,,,,,,,https://pypi.org/project/pyneuroner,,,162.0,162.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +825,Xcessiv,reiinakano/xcessiv,hyperopt,,https://github.com/reiinakano/xcessiv,https://github.com/reiinakano/xcessiv,Apache-2.0,2017-03-07 18:18:25.000,2018-06-06 22:23:37.000000,2017-08-21 00:51:15,316.0,,109.0,57.0,34.0,22.0,13.0,1266.0,"A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.",6.0,16,False,2017-08-21 00:53:25.000,0.5.1,34.0,xcessiv,,,,,2.0,1.0,https://pypi.org/project/xcessiv,2017-08-21 00:49:41.000,1.0,64.0,64.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +826,AutoGL,THUMNLab/AutoGL,graph,,https://github.com/THUMNLab/AutoGL,https://github.com/THUMNLab/AutoGL,Apache-2.0,2020-11-30 14:26:22.000,2023-12-27 10:05:56.000000,2023-10-21 13:07:20,740.0,,116.0,28.0,109.0,12.0,24.0,1052.0,An autoML framework & toolkit for machine learning on graphs.,15.0,16,True,2022-12-30 06:11:04.000,0.4.0,4.0,auto-graph-learning,,,,['pytorch'],,,https://pypi.org/project/auto-graph-learning,2020-12-23 08:05:25.000,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +827,FlashTorch,MisaOgura/flashtorch,interpretability,,https://github.com/MisaOgura/flashtorch,https://github.com/MisaOgura/flashtorch,MIT,2019-03-22 13:00:57.000,2023-09-21 07:22:50.000000,2023-09-21 07:22:50,127.0,,88.0,17.0,15.0,9.0,22.0,718.0,Visualization toolkit for neural networks in PyTorch! Demo --.,2.0,16,True,2020-05-29 14:39:38.000,0.1.3,5.0,flashtorch,,,,['pytorch'],15.0,15.0,https://pypi.org/project/flashtorch,,,548.0,548.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +828,HyperparameterHunter,HunterMcGushion/hyperparameter_hunter,hyperopt,,https://github.com/HunterMcGushion/hyperparameter_hunter,https://github.com/HunterMcGushion/hyperparameter_hunter,MIT,2018-06-01 23:17:00.000,2021-01-20 03:52:41.000000,2021-01-20 03:52:40,1096.0,,100.0,25.0,101.0,37.0,84.0,702.0,Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries.,4.0,16,False,2021-02-16 11:34:12.211,3.0.0,16.0,hyperparameter-hunter,,,,,1.0,,https://pypi.org/project/hyperparameter-hunter,2018-06-14 02:21:57.000,1.0,99.0,105.0,,,,,,,,3.0,412.0,,,,,,,,,,,,,,,,,,,, +829,cuSignal,rapidsai/cusignal,gpu-utilities,,https://github.com/rapidsai/cusignal,https://github.com/rapidsai/cusignal,Apache-2.0,2019-08-22 14:27:27.000,2023-09-21 18:53:21.000000,2023-09-21 18:53:18,1296.0,,122.0,43.0,435.0,25.0,130.0,702.0,GPU accelerated signal processing.,46.0,16,True,2023-08-09 16:45:21.000,23.08.00,21.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +830,ThunderGBM,Xtra-Computing/thundergbm,ml-frameworks,,https://github.com/Xtra-Computing/thundergbm,https://github.com/Xtra-Computing/thundergbm,Apache-2.0,2016-11-11 09:58:08.000,2024-01-29 12:26:32.000000,2024-01-29 12:26:25,611.0,1.0,87.0,25.0,4.0,37.0,42.0,684.0,ThunderGBM: Fast GBDTs and Random Forests on GPUs.,12.0,16,True,2022-09-19 20:15:07.376,0.3.17,25.0,thundergbm,,,,,2.0,2.0,https://pypi.org/project/thundergbm,2022-09-19 20:15:07.376,,77.0,77.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +831,textflint,textflint/textflint,adversarial,,https://github.com/textflint/textflint,https://github.com/textflint/textflint,GPL-3.0,2021-03-06 11:15:52.000,2022-09-27 17:09:16.000000,2022-06-21 04:27:47,257.0,,93.0,18.0,19.0,3.0,29.0,626.0,Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing.,18.0,16,False,2022-03-15 07:18:47.000,0.1.0,6.0,textflint,,,,,12.0,12.0,https://pypi.org/project/textflint,2022-03-15 07:18:47.000,,101.0,101.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +832,caliban,google/caliban,ml-experiments,,https://github.com/google/caliban,https://github.com/google/caliban,Apache-2.0,2020-06-02 18:12:50.000,2024-01-25 16:57:26.000000,2024-01-25 16:57:26,261.0,4.0,66.0,23.0,94.0,19.0,15.0,492.0,"Research workflows made easy, locally and in the Cloud.",10.0,16,True,2023-06-16 17:26:21.434,0.4.2,11.0,caliban,,,,,1.0,1.0,https://pypi.org/project/caliban,2020-09-12 19:41:23.000,,63.0,63.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +833,NeuralCompression,facebookresearch/NeuralCompression,others,,https://github.com/facebookresearch/NeuralCompression,https://github.com/facebookresearch/NeuralCompression,MIT,2021-07-09 15:14:13.000,2024-01-08 18:31:51.000000,2024-01-08 18:31:46,136.0,3.0,42.0,20.0,165.0,3.0,63.0,439.0,A collection of tools for neural compression enthusiasts.,9.0,16,True,2023-10-03 14:25:36.000,0.3.1,6.0,neuralcompression,,,,,,,https://pypi.org/project/neuralcompression,,,125.0,125.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +834,OpenRec,ylongqi/openrec,recommender-systems,,https://github.com/ylongqi/openrec,https://github.com/ylongqi/openrec,Apache-2.0,2017-11-29 16:04:40.000,2023-03-24 23:54:19.000000,2020-02-19 07:57:17,213.0,,84.0,36.0,47.0,5.0,12.0,405.0,OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms.,11.0,16,False,2020-02-18 06:52:11.000,0.3.0,12.0,openrec,,,,,3.0,2.0,https://pypi.org/project/openrec,2020-02-18 06:52:11.000,1.0,41.0,41.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +835,scikit-rebate,EpistasisLab/scikit-rebate,others,,https://github.com/EpistasisLab/scikit-rebate,https://github.com/EpistasisLab/scikit-rebate,MIT,2016-09-19 13:36:17.000,2023-06-16 16:08:23.527000,2021-02-15 17:10:59,283.0,,69.0,24.0,48.0,15.0,19.0,390.0,"A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for..",13.0,16,False,,,5.0,skrebate,conda-forge/skrebate,,,['sklearn'],,,https://pypi.org/project/skrebate,,,3902.0,4341.0,https://anaconda.org/conda-forge/skrebate,2023-06-16 16:08:23.527,32074.0,,,,,3.0,,-4.0,,,,,,,,,,,,,,,,,,, +836,ExplainX.ai,explainX/explainx,interpretability,,https://github.com/explainX/explainx,https://github.com/explainX/explainx,MIT,2020-06-16 14:27:15.000,2024-01-15 19:35:50.000000,2024-01-15 19:35:42,191.0,3.0,51.0,10.0,14.0,2.0,29.0,377.0,Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line..,5.0,16,True,2021-02-07 11:06:21.000,2.407,21.0,explainx,,,,,,,https://pypi.org/project/explainx,,,211.0,211.0,,,,,,,,3.0,13.0,,,,,,,,,,,,,,,,,,,, +837,tfdeploy,riga/tfdeploy,model-serialisation,,https://github.com/riga/tfdeploy,https://github.com/riga/tfdeploy,BSD-3-Clause,2016-03-07 13:08:21.000,2024-01-02 09:08:58.000000,2024-01-02 09:08:58,172.0,2.0,36.0,22.0,5.0,11.0,23.0,352.0,Deploy tensorflow graphs for fast evaluation and export to tensorflow-less environments running numpy.,4.0,16,True,2016-12-23 10:46:31.000,0.3.3,10.0,tfdeploy,,,,['tensorflow'],,,https://pypi.org/project/tfdeploy,,,69.0,69.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +838,pdvega,altair-viz/pdvega,data-viz,,https://github.com/altair-viz/pdvega,https://github.com/altair-viz/pdvega,MIT,2018-01-11 21:30:27.000,2019-03-29 16:09:14.000000,2019-03-29 16:09:13,177.0,,33.0,24.0,21.0,17.0,10.0,345.0,Interactive plotting for Pandas using Vega-Lite.,9.0,16,False,,,1.0,pdvega,,,,,93.0,86.0,https://pypi.org/project/pdvega,2018-02-01 04:56:43.000,7.0,83.0,83.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +839,pandas-ml,pandas-ml/pandas-ml,others,,https://github.com/pandas-ml/pandas-ml,https://github.com/pandas-ml/pandas-ml,BSD-3-Clause,2015-02-21 03:14:04.000,2020-08-14 12:29:33.000000,2019-03-05 01:36:55,153.0,,72.0,19.0,93.0,25.0,18.0,308.0,"pandas, scikit-learn, xgboost and seaborn integration.",4.0,16,False,2019-03-05 01:36:12.000,0.6.1,9.0,pandas-ml,,,,"['sklearn', 'pandas']",,,https://pypi.org/project/pandas-ml,,,2058.0,2058.0,,,,,,,,3.0,8.0,,,,,,,,,,,,,,,,,,,, +840,textpipe,textpipe/textpipe,nlp,,https://github.com/textpipe/textpipe,https://github.com/textpipe/textpipe,MIT,2018-06-21 16:23:32.000,2021-06-09 11:55:53.000000,2021-06-09 11:55:53,371.0,,27.0,22.0,239.0,15.0,25.0,300.0,Textpipe: clean and extract metadata from text.,29.0,16,False,,,,textpipe,,,,,8.0,8.0,https://pypi.org/project/textpipe,,,94.0,94.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +841,data-describe,data-describe/data-describe,data-viz,,https://github.com/data-describe/data-describe,https://github.com/data-describe/data-describe,Apache-2.0,2020-05-04 17:58:14.000,2023-02-22 05:20:46.000000,2021-11-19 06:05:15,700.0,,18.0,13.0,271.0,70.0,175.0,295.0,datadescribe: Pythonic EDA Accelerator for Data Science.,13.0,16,False,,,5.0,data-describe,,,,,,,https://pypi.org/project/data-describe,2020-12-03 23:07:43.000,,1270.0,1270.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +842,skift,shaypal5/skift,nlp,,https://github.com/shaypal5/skift,https://github.com/shaypal5/skift,MIT,2018-02-03 11:37:21.000,2022-06-07 15:07:07.000000,2022-06-07 15:07:04,141.0,,23.0,11.0,8.0,1.0,10.0,235.0,scikit-learn wrappers for Python fastText.,9.0,16,False,2022-02-14 13:45:54.000,0.0.23,3.0,skift,,,,['sklearn'],13.0,13.0,https://pypi.org/project/skift,,,910.0,910.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +843,chitra,gradsflow/chitra,ml-experiments,,https://github.com/aniketmaurya/chitra,https://github.com/aniketmaurya/chitra,Apache-2.0,2020-01-23 14:17:54.000,2024-01-01 20:21:14.000000,2023-12-06 19:59:05,370.0,1.0,38.0,6.0,132.0,,35.0,221.0,"A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model..",14.0,16,False,2021-11-26 17:10:22.000,0.2.0,38.0,chitra,conda-forge/chitra,,,,1.0,,https://pypi.org/project/chitra,2022-01-09 08:50:45.005,1.0,470.0,584.0,https://anaconda.org/conda-forge/chitra,2023-06-18 08:40:33.534,2868.0,,,,,3.0,,,,aniketmaurya/chitra,,,,,,,,,,,,,,,,, +844,Parfit,jmcarpenter2/parfit,hyperopt,,https://github.com/jmcarpenter2/parfit,https://github.com/jmcarpenter2/parfit,MIT,2017-11-22 20:17:51.000,2020-04-04 19:26:44.000000,2020-04-04 19:26:37,127.0,,29.0,5.0,4.0,6.0,5.0,199.0,"A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization..",4.0,16,False,,,23.0,parfit,,,,['sklearn'],26.0,26.0,https://pypi.org/project/parfit,2018-10-11 22:03:16.000,,3393.0,3393.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +845,Torch Points 3D,nicolas-chaulet/torch-points3d,image,,https://github.com/nicolas-chaulet/torch-points3d,https://github.com/nicolas-chaulet/torch-points3d,BSD-3-Clause,2022-01-09 14:41:37.000,2021-12-10 20:17:18.000000,2021-12-10 20:17:18,1788.0,,42.0,1.0,,,,179.0,Pytorch framework for doing deep learning on point clouds.,29.0,16,False,2021-04-30 09:00:22.000,1.3.0,14.0,torch-points3d,,,,['pytorch'],,,https://pypi.org/project/torch-points3d,2021-04-30 09:00:22.000,,686.0,686.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +846,steppy,minerva-ml/steppy,ml-experiments,,https://github.com/minerva-ml/steppy,https://github.com/minerva-ml/steppy,MIT,2018-01-15 09:40:49.000,2018-11-23 09:49:59.000000,2018-11-23 09:47:34,69.0,,32.0,14.0,54.0,16.0,50.0,136.0,"Lightweight, Python library for fast and reproducible experimentation.",7.0,16,False,2018-11-23 09:49:59.000,0.1.16,16.0,steppy,,,,,56.0,51.0,https://pypi.org/project/steppy,2018-11-23 09:49:59.000,5.0,50.0,50.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +847,dabl,amueller/dabl,sklearn-utils,,https://github.com/amueller/dabl,https://github.com/amueller/dabl,BSD-3-Clause,2020-01-30 18:26:49.000,2024-01-09 19:00:03.000000,2024-01-09 18:05:38,305.0,3.0,9.0,5.0,3.0,1.0,,127.0,Data Analysis Baseline Library.,24.0,16,False,2023-02-28 01:21:03.335,0.2.5,17.0,dabl,,,,['sklearn'],1.0,,https://pypi.org/project/dabl,2024-01-09 18:32:27.000,1.0,3101.0,3101.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +848,Euler,alibaba/euler,graph,,https://github.com/alibaba/euler,https://github.com/alibaba/euler,Apache-2.0,2019-01-10 06:32:32.000,2023-08-19 12:30:48.000000,2020-07-29 05:53:01,8.0,,560.0,141.0,28.0,217.0,102.0,2869.0,A distributed graph deep learning framework.,5.0,15,False,2020-07-07 02:24:18.000,2.0.0,2.0,euler-gl,,,,['tensorflow'],,,https://pypi.org/project/euler-gl,2019-04-10 01:53:45.000,,5.0,5.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +849,ZhuSuan,thu-ml/zhusuan,probabilistics,,https://github.com/thu-ml/zhusuan,https://github.com/thu-ml/zhusuan,MIT,2016-07-18 13:31:38.000,2022-12-17 20:33:19.000000,2019-08-05 10:00:04,439.0,,423.0,143.0,72.0,12.0,53.0,2197.0,"A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow.",20.0,15,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +850,OpenNE,thunlp/OpenNE,graph,,https://github.com/thunlp/OpenNE,https://github.com/thunlp/OpenNE,MIT,2017-10-08 04:58:20.000,2024-01-10 11:53:25.000000,2024-01-10 11:53:25,104.0,5.0,483.0,68.0,26.0,5.0,97.0,1666.0,An Open-Source Package for Network Embedding (NE).,12.0,15,True,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +851,Medical Detection Toolkit,MIC-DKFZ/medicaldetectiontoolkit,medical-data,,https://github.com/MIC-DKFZ/medicaldetectiontoolkit,https://github.com/MIC-DKFZ/medicaldetectiontoolkit,Apache-2.0,2018-10-12 12:34:57.000,2024-01-23 02:21:18.000000,2022-04-04 08:29:54,41.0,,294.0,54.0,21.0,42.0,85.0,1251.0,"The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN,..",3.0,15,False,,,,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +852,BLINK,facebookresearch/BLINK,nlp,,https://github.com/facebookresearch/BLINK,https://github.com/facebookresearch/BLINK,MIT,2019-09-25 21:27:44.000,2023-09-21 16:18:30.000000,2021-04-02 03:03:34,211.0,,217.0,40.0,40.0,60.0,34.0,1108.0,Entity Linker solution.,16.0,15,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +853,TextBox,RUCAIBox/TextBox,nlp,,https://github.com/RUCAIBox/TextBox,https://github.com/RUCAIBox/TextBox,MIT,2020-11-08 07:35:46.000,2023-07-27 14:39:30.000000,2023-05-18 02:26:52,1358.0,,115.0,19.0,295.0,3.0,69.0,1046.0,TextBox 2.0 is a text generation library with pre-trained language models.,18.0,15,True,2022-12-28 02:06:22.000,2.0.0,10.0,textbox,,,,,5.0,5.0,https://pypi.org/project/textbox,2021-04-15 09:35:06.000,,1.0,1.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +854,MedicalTorch,perone/medicaltorch,medical-data,,https://github.com/perone/medicaltorch,https://github.com/perone/medicaltorch,Apache-2.0,2018-02-27 02:50:07.000,2022-12-27 06:48:51.000000,2021-04-16 18:50:54,57.0,,121.0,50.0,21.0,15.0,9.0,828.0,A medical imaging framework for Pytorch.,8.0,15,False,2018-11-24 00:33:11.000,0.2,2.0,medicaltorch,,,,['pytorch'],14.0,14.0,https://pypi.org/project/medicaltorch,2018-11-24 00:29:36.000,,65.0,65.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +855,Translate,pytorch/translate,nlp,,https://github.com/pytorch/translate,https://github.com/pytorch/translate,BSD-3-Clause,2018-04-24 16:44:04.000,2023-04-27 20:56:00.000000,2022-06-10 23:04:56,813.0,,184.0,43.0,667.0,11.0,27.0,810.0,Translate - a PyTorch Language Library.,88.0,15,False,,,,pytorch-translate,,,,['pytorch'],,,https://pypi.org/project/pytorch-translate,,,16.0,16.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +856,madgrad,facebookresearch/madgrad,pytorch-utils,,https://github.com/facebookresearch/madgrad,https://github.com/facebookresearch/madgrad,MIT,2021-01-12 19:41:06.000,2023-04-11 19:24:43.000000,2023-04-11 19:24:38,24.0,,56.0,18.0,7.0,,10.0,794.0,MADGRAD Optimization Method.,2.0,15,True,,,,madgrad,,,,['pytorch'],71.0,71.0,https://pypi.org/project/madgrad,,,3167.0,3167.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +857,Anchor,marcotcr/anchor,interpretability,,https://github.com/marcotcr/anchor,https://github.com/marcotcr/anchor,BSD-2-Clause,2018-02-02 23:38:50.000,2022-07-19 18:09:12.000000,2022-07-19 18:08:39,47.0,,111.0,27.0,10.0,24.0,51.0,777.0,Code for High-Precision Model-Agnostic Explanations paper.,10.0,15,False,,,,anchor_exp,,,,,,,https://pypi.org/project/anchor_exp,,,1334.0,1334.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +858,SpeedTorch,Santosh-Gupta/SpeedTorch,gpu-utilities,,https://github.com/Santosh-Gupta/SpeedTorch,https://github.com/Santosh-Gupta/SpeedTorch,MIT,2019-09-07 18:57:52.000,2020-02-21 23:13:29.000000,2020-02-21 23:13:28,170.0,,39.0,26.0,4.0,4.0,2.0,672.0,Library for faster pinned CPU - GPU transfer in Pytorch.,3.0,15,False,2020-01-06 05:27:17.000,0.1.6,14.0,SpeedTorch,,,,['pytorch'],7.0,5.0,https://pypi.org/project/SpeedTorch,2020-01-06 05:27:17.000,2.0,83.0,83.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +859,KD-Lib,SforAiDl/KD_Lib,others,,https://github.com/SforAiDl/KD_Lib,https://github.com/SforAiDl/KD_Lib,MIT,2020-05-10 13:08:42.000,2023-03-01 21:06:37.000000,2023-03-01 21:03:09,298.0,,52.0,17.0,83.0,13.0,49.0,564.0,A Pytorch Knowledge Distillation library for benchmarking and extending works in the domains of Knowledge..,6.0,15,True,2022-05-18 08:34:00.000,0.0.32,3.0,KD-Lib,,,,['pytorch'],,,https://pypi.org/project/KD-Lib,,,54.0,54.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +860,kglib,vaticle/kglib,graph,,https://github.com/vaticle/typedb-ml,https://github.com/vaticle/typedb-ml,Apache-2.0,2018-09-16 16:46:48.000,2023-11-18 17:08:08.000000,2023-11-18 17:08:08,508.0,1.0,98.0,39.0,106.0,12.0,51.0,548.0,TypeDB-ML is the Machine Learning integrations library for TypeDB.,11.0,15,True,2022-07-29 11:37:34.000,0.3.0,8.0,grakn-kglib,,,,,,,https://pypi.org/project/grakn-kglib,2020-08-19 15:39:10.000,,100.0,103.0,,,,,,,,3.0,220.0,,,vaticle/typedb-ml,,,,,,,,,,,,,,,,, +861,DESlib,scikit-learn-contrib/DESlib,sklearn-utils,,https://github.com/scikit-learn-contrib/DESlib,https://github.com/scikit-learn-contrib/DESlib,BSD-3-Clause,2017-12-08 22:49:49.000,2023-07-14 19:31:30.000000,2023-06-18 21:56:30,277.0,,78.0,14.0,126.0,17.0,136.0,461.0,A Python library for dynamic classifier and ensemble selection.,16.0,15,True,,,,deslib,,,,['sklearn'],,,https://pypi.org/project/deslib,,,1126.0,1126.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +862,Pywick,achaiah/pywick,pytorch-utils,,https://github.com/achaiah/pywick,https://github.com/achaiah/pywick,MIT,2019-03-25 15:42:47.000,2022-02-04 15:57:11.000000,2021-10-22 03:09:17,149.0,,38.0,16.0,39.0,2.0,13.0,398.0,High-level batteries-included neural network training library for Pytorch.,4.0,15,False,2021-10-22 03:19:11.000,0.6.5,8.0,pywick,,,,['pytorch'],9.0,9.0,https://pypi.org/project/pywick,2021-10-22 03:19:11.000,,103.0,103.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +863,interpret-text,interpretml/interpret-text,interpretability,,https://github.com/interpretml/interpret-text,https://github.com/interpretml/interpret-text,MIT,2019-09-04 16:39:48.000,2024-01-24 16:17:47.000000,2024-01-24 16:17:47,151.0,3.0,67.0,20.0,175.0,87.0,17.0,392.0,A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the..,18.0,15,True,2021-12-07 15:12:02.000,0.1.3,5.0,interpret-text,,,,['jupyter'],,,https://pypi.org/project/interpret-text,2021-12-07 01:57:31.000,,59.0,59.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +864,Adversary,airbnb/artificial-adversary,adversarial,,https://github.com/airbnb/artificial-adversary,https://github.com/airbnb/artificial-adversary,MIT,2018-08-08 04:42:11.000,2023-06-16 19:21:01.312000,2018-08-29 15:31:30,15.0,,57.0,19.0,6.0,6.0,,390.0,Tool to generate adversarial text examples and test machine learning models against them.,5.0,15,False,2018-08-29 15:14:41.000,1.1.1,3.0,Adversary,conda-forge/artificial-adversary,,,,10.0,9.0,https://pypi.org/project/Adversary,2018-08-29 15:14:41.000,1.0,38.0,175.0,https://anaconda.org/conda-forge/artificial-adversary,2023-06-16 19:21:01.312,5919.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +865,ptgnn,microsoft/ptgnn,graph,,https://github.com/microsoft/ptgnn,https://github.com/microsoft/ptgnn,MIT,2020-05-12 08:42:30.000,2022-02-01 17:31:29.000000,2022-02-01 17:31:29,99.0,,39.0,12.0,17.0,2.0,5.0,371.0,A PyTorch Graph Neural Network Library.,8.0,15,False,2021-10-21 21:43:04.000,0.10.4,18.0,ptgnn,,,,['pytorch'],3.0,3.0,https://pypi.org/project/ptgnn,2021-10-21 21:43:04.000,,179.0,179.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +866,nx-altair,Zsailer/nx_altair,data-viz,,https://github.com/Zsailer/nx_altair,https://github.com/Zsailer/nx_altair,MIT,2018-05-13 00:10:12.000,2023-09-27 23:13:07.000000,2020-06-02 21:10:26,51.0,,27.0,11.0,15.0,6.0,4.0,221.0,Draw interactive NetworkX graphs with Altair.,3.0,15,False,2020-06-02 21:11:12.000,0.1.6,8.0,nx-altair,,,,['jupyter'],8.0,,https://pypi.org/project/nx-altair,2020-06-02 21:11:12.000,8.0,507.0,507.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +867,HugsVision,qanastek/HugsVision,image,,https://github.com/qanastek/HugsVision,https://github.com/qanastek/HugsVision,MIT,2021-08-12 21:46:08.000,2023-08-13 00:37:26.000000,2023-01-22 01:25:39,75.0,,18.0,5.0,2.0,16.0,23.0,188.0,HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision.,2.0,15,False,2023-01-22 01:21:35.467,0.75.5,78.0,hugsvision,,,,['huggingface'],11.0,11.0,https://pypi.org/project/hugsvision,2023-01-22 01:21:35.467,,474.0,474.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +868,Collie,ShopRunner/collie,recommender-systems,,https://github.com/ShopRunner/collie,https://github.com/ShopRunner/collie,BSD-3-Clause,2021-04-12 20:54:06.000,2023-10-25 21:33:40.000000,2023-03-31 15:44:32,231.0,,20.0,28.0,52.0,7.0,7.0,102.0,"A library for preparing, training, and evaluating scalable deep learning hybrid recommender systems using PyTorch.",15.0,15,False,2023-03-31 16:09:03.477,1.3.1,10.0,collie,,,,['pytorch'],41.0,41.0,https://pypi.org/project/collie,2022-01-18 23:07:16.000,,99.0,99.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +869,GraphSAGE,williamleif/GraphSAGE,graph,,https://github.com/williamleif/GraphSAGE,https://github.com/williamleif/GraphSAGE,MIT,2017-05-29 15:36:22.000,2022-11-21 22:24:51.000000,2018-09-19 19:27:00,59.0,,818.0,78.0,34.0,116.0,59.0,3241.0,Representation learning on large graphs using stochastic graph convolutions.,9.0,14,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +870,Skater,oracle/Skater,interpretability,,https://github.com/oracle/Skater,https://github.com/oracle/Skater,UPL-1.0,2017-01-26 05:45:42.000,2023-09-18 15:13:22.392000,,,,182.0,,,72.0,,1067.0,Python Library for Model Interpretation/Explanations.,7.0,14,False,2018-09-21 07:03:32.000,1.1.2,23.0,skater,conda-forge/skater,,,,1.0,,https://pypi.org/project/skater,2018-09-21 07:03:32.000,1.0,212.0,1682.0,https://anaconda.org/conda-forge/skater,2023-09-18 15:13:22.392,63212.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +871,Fiber,uber/fiber,distributed-ml,,https://github.com/uber/fiber,https://github.com/uber/fiber,Apache-2.0,2020-01-07 18:16:24.000,2023-03-19 22:55:22.000000,2021-03-15 07:00:08,66.0,,112.0,21.0,37.0,20.0,8.0,1042.0,Distributed Computing for AI Made Simple.,5.0,14,False,2020-07-09 03:28:28.000,0.2.1,6.0,fiber,,,,,1.0,,https://pypi.org/project/fiber,2020-07-09 03:28:28.000,1.0,63.0,63.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +872,atspy,firmai/atspy,time-series-data,,https://github.com/firmai/atspy,https://github.com/firmai/atspy,MIT,2020-01-28 05:00:10.000,2022-11-21 21:55:23.000000,2021-12-18 09:26:18,99.0,,89.0,21.0,18.0,22.0,2.0,501.0,AtsPy: Automated Time Series Models in Python (by @firmai).,5.0,14,False,2020-11-12 16:10:48.000,zen,39.0,atspy,,,,,10.0,10.0,https://pypi.org/project/atspy,2020-04-24 18:16:15.000,,109.0,109.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +873,VizSeq,facebookresearch/vizseq,nlp,,https://github.com/facebookresearch/vizseq,https://github.com/facebookresearch/vizseq,MIT,2019-08-26 13:19:38.000,2024-01-19 15:25:21.000000,2024-01-19 15:25:18,75.0,1.0,58.0,17.0,61.0,7.0,9.0,437.0,"An Analysis Toolkit for Natural Language Generation (Translation, Captioning, Summarization, etc.).",3.0,14,True,2020-08-07 01:13:52.000,0.1.15,16.0,vizseq,,,,,9.0,9.0,https://pypi.org/project/vizseq,2020-08-07 01:13:52.000,,133.0,133.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +874,tsaug,arundo/tsaug,time-series-data,,https://github.com/arundo/tsaug,https://github.com/arundo/tsaug,Apache-2.0,2019-09-27 00:38:05.000,2023-01-11 11:16:16.000000,2020-04-17 02:46:38,10.0,,36.0,12.0,8.0,9.0,3.0,327.0,A Python package for time series augmentation.,4.0,14,False,2020-04-17 02:49:57.000,0.2.1,4.0,tsaug,,,,,,,https://pypi.org/project/tsaug,,,1126.0,1126.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +875,TorchDrift,torchdrift/torchdrift,pytorch-utils,,https://github.com/TorchDrift/TorchDrift,https://github.com/TorchDrift/TorchDrift,Apache-2.0,2021-02-10 09:27:48.000,2022-08-26 08:15:45.000000,2022-08-26 08:15:45,38.0,,15.0,11.0,6.0,9.0,6.0,300.0,Drift Detection for your PyTorch Models.,4.0,14,False,2021-03-08 12:21:48.000,0.1.0,3.0,torchdrift,,,,['pytorch'],26.0,26.0,https://pypi.org/project/torchdrift,2021-03-08 12:51:05.000,,138.0,138.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +876,DeepGraph,deepgraph/deepgraph,graph,,https://github.com/deepgraph/deepgraph,https://github.com/deepgraph/deepgraph,,2015-10-27 12:28:45.000,2023-10-03 23:52:47.440000,2023-07-17 09:18:00,166.0,,39.0,19.0,2.0,10.0,7.0,279.0,Analyze Data with Pandas-based Networks. Documentation:.,2.0,14,False,2020-10-01 13:20:38.000,0.2.3,12.0,deepgraph,conda-forge/deepgraph,,,['pandas'],8.0,8.0,https://pypi.org/project/deepgraph,,,294.0,4627.0,https://anaconda.org/conda-forge/deepgraph,2023-10-03 23:52:47.440,173344.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +877,NeuralQA,victordibia/neuralqa,nlp,,https://github.com/victordibia/neuralqa,https://github.com/victordibia/neuralqa,MIT,2020-05-19 03:55:56.000,2023-06-07 20:12:03.000000,2020-12-16 17:41:37,312.0,,33.0,8.0,72.0,31.0,8.0,230.0,NeuralQA: A Usable Library for Question Answering on Large Datasets with BERT.,3.0,14,False,,,27.0,neuralqa,,,,,4.0,4.0,https://pypi.org/project/neuralqa,2020-09-18 17:54:50.000,,73.0,73.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +878,jaxdf,ucl-bug/jaxdf,jax-utils,,https://github.com/ucl-bug/jaxdf,https://github.com/ucl-bug/jaxdf,LGPL-3.0,2021-09-08 16:38:46.000,2024-01-29 08:15:23.000000,2023-11-24 19:47:45,314.0,14.0,7.0,8.0,125.0,7.0,9.0,104.0,A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations.,4.0,14,False,2023-11-24 19:49:33.000,0.2.7,9.0,,,,,['jax'],4.0,4.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +879,ENAS,carpedm20/ENAS-pytorch,hyperopt,,https://github.com/carpedm20/ENAS-pytorch,https://github.com/carpedm20/ENAS-pytorch,Apache-2.0,2018-02-15 04:54:37.000,2023-07-06 21:33:33.000000,2020-06-16 07:23:32,53.0,,481.0,110.0,12.0,39.0,8.0,2668.0,PyTorch implementation of Efficient Neural Architecture Search via Parameters Sharing.,6.0,13,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +880,ml-ane-transformers,apple/ml-ane-transformers,model-serialisation,,https://github.com/apple/ml-ane-transformers,https://github.com/apple/ml-ane-transformers,,2022-06-03 16:36:06.000,2023-04-25 09:24:38.000000,2022-08-09 04:03:14,5.0,,77.0,46.0,4.0,3.0,,2427.0,Reference implementation of the Transformer architecture optimized for Apple Neural Engine (ANE).,1.0,13,False,2022-08-09 04:22:55.000,0.1.3,4.0,ane-transformers,,,,['pytorch'],1.0,,https://pypi.org/project/ane-transformers,2022-08-09 04:22:00.465,1.0,1478.0,1480.0,,,,,,,,3.0,54.0,,,,,,,,,,,,,,,,,,,, +881,traingenerator,jrieke/traingenerator,others,,https://github.com/jrieke/traingenerator,https://github.com/jrieke/traingenerator,MIT,2020-12-03 16:47:16.000,2023-08-23 08:35:09.000000,2022-06-30 14:05:23,118.0,,175.0,38.0,10.0,13.0,3.0,1336.0,A web app to generate template code for machine learning.,3.0,13,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +882,GraphVite,DeepGraphLearning/graphvite,graph,,https://github.com/DeepGraphLearning/graphvite,https://github.com/DeepGraphLearning/graphvite,Apache-2.0,2019-07-16 15:48:20.000,2023-06-16 16:16:18.265000,2021-01-14 02:18:46,15.0,,147.0,32.0,,53.0,59.0,1176.0,GraphVite: A General and High-performance Graph Embedding System.,1.0,13,False,,,4.0,,milagraph/graphvite,,,,,,,,,,86.0,https://anaconda.org/milagraph/graphvite,2023-06-16 16:16:18.265,4686.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +883,rliable,google-research/rliable,reinforcement-learning,,https://github.com/google-research/rliable,https://github.com/google-research/rliable,Apache-2.0,2021-08-20 00:41:06.000,2024-01-29 19:20:57.000000,2024-01-29 19:20:57,64.0,2.0,42.0,11.0,8.0,2.0,12.0,665.0,"[NeurIPS21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of..",6.0,13,True,,,,rliable`,,,,,114.0,114.0,https://pypi.org/project/rliable`,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +884,TransferNLP,feedly/transfer-nlp,nlp,,https://github.com/feedly/transfer-nlp,https://github.com/feedly/transfer-nlp,MIT,2019-03-12 20:00:31.000,2020-05-28 17:32:42.000000,2020-05-28 17:31:53,465.0,,19.0,12.0,57.0,3.0,20.0,291.0,NLP library designed for reproducible experimentation management.,7.0,13,False,2020-05-28 17:32:42.000,0.1.6,8.0,transfer-nlp,,,,['pytorch'],,,https://pypi.org/project/transfer-nlp,,,70.0,70.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +885,ONNX-T5,abelriboulot/onnxt5,nlp,,https://github.com/abelriboulot/onnxt5,https://github.com/abelriboulot/onnxt5,Apache-2.0,2020-08-01 09:38:35.000,2022-11-02 18:43:57.000000,2021-01-28 09:24:52,74.0,,28.0,8.0,6.0,8.0,8.0,243.0,"Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version..",4.0,13,False,2021-01-28 09:26:15.000,0.1.8,11.0,onnxt5,,,,,1.0,1.0,https://pypi.org/project/onnxt5,2021-01-28 09:26:15.000,,69.0,69.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +886,backprop,backprop-ai/backprop,model-serialisation,,https://github.com/backprop-ai/backprop,https://github.com/backprop-ai/backprop,Apache-2.0,2020-10-30 15:25:14.000,2021-05-03 09:15:25.000000,2021-05-03 09:15:21,219.0,,11.0,16.0,14.0,5.0,4.0,240.0,"Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.",8.0,13,False,2021-04-20 13:53:12.000,0.1.2,14.0,backprop,,,,,2.0,2.0,https://pypi.org/project/backprop,2021-04-20 13:53:12.000,,123.0,123.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +887,DeepNeuro,QTIM-Lab/DeepNeuro,medical-data,,https://github.com/QTIM-Lab/DeepNeuro,https://github.com/QTIM-Lab/DeepNeuro,MIT,2017-06-01 19:36:34.000,2020-06-24 13:00:15.000000,2020-06-24 13:00:14,285.0,,33.0,14.0,18.0,27.0,16.0,120.0,A deep learning python package for neuroimaging data. Made by:.,6.0,13,False,2019-06-10 21:04:04.000,0.2.3,6.0,deepneuro,,,,,1.0,1.0,https://pypi.org/project/deepneuro,2019-06-10 21:04:04.000,,38.0,38.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +888,LazyCluster,ml-tooling/lazycluster,distributed-ml,,https://github.com/ml-tooling/lazycluster,https://github.com/ml-tooling/lazycluster,Apache-2.0,2019-08-07 08:05:13.000,2023-02-16 02:23:02.000000,2021-08-19 13:59:11,444.0,,12.0,7.0,20.0,3.0,,50.0,Distributed machine learning made simple.,2.0,13,False,2020-12-14 15:25:59.000,0.2.4,5.0,lazycluster,,,,,28.0,28.0,https://pypi.org/project/lazycluster,2020-12-14 14:49:33.000,,53.0,53.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +889,CometML,comet-ml/examples,ml-experiments,,,https://www.comet.com,,,2024-01-23 12:06:49.000000,,,,,,,,,,Supercharging Machine Learning.,,13,False,2024-01-18 16:09:38.000,3.36.1,274.0,comet_ml,comet_ml,,,,65.0,,https://pypi.org/project/comet_ml,2024-01-23 12:06:49.000,65.0,162531.0,162531.0,https://anaconda.org/anaconda/comet_ml,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +890,model_search,google/model_search,hyperopt,,https://github.com/google/model_search,https://github.com/google/model_search,Apache-2.0,2021-01-19 18:26:34.000,2023-03-14 16:25:22.000000,2022-02-09 22:20:11,9.0,,401.0,95.0,17.0,37.0,15.0,3258.0,AutoML algorithms for model architecture search at scale.,,12,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +891,MedicalNet,Tencent/MedicalNet,medical-data,,https://github.com/Tencent/MedicalNet,https://github.com/Tencent/MedicalNet,MIT,2019-07-17 09:53:10.000,2023-07-06 21:26:54.000000,2020-08-27 13:37:26,26.0,,400.0,62.0,6.0,62.0,17.0,1791.0,Many studies have shown that the performance on deep learning is significantly affected by volume of training data...,1.0,12,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +892,surpriver,tradytics/surpriver,financial-data,,https://github.com/tradytics/surpriver,https://github.com/tradytics/surpriver,GPL-3.0,2020-08-30 07:56:22.000,2021-08-13 08:02:31.000000,2020-09-21 04:32:05,64.0,,309.0,87.0,11.0,12.0,6.0,1672.0,Find big moving stocks before they move using machine learning and anomaly detection.,6.0,12,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +893,Maze,enlite-ai/maze,reinforcement-learning,,https://github.com/enlite-ai/maze,https://github.com/enlite-ai/maze,Custom,2021-02-11 08:26:37.000,2024-01-25 13:32:50.000000,2022-11-21 12:12:41,1044.0,,11.0,6.0,26.0,1.0,2.0,254.0,Maze Applied Reinforcement Learning Framework.,3.0,12,False,2022-11-21 12:23:00.858,0.2.0,21.0,maze-rl,,enliteai/maze,,['pytorch'],,,https://pypi.org/project/maze-rl,2021-12-13 16:04:42.000,,89.0,95.0,,,,https://hub.docker.com/r/enliteai/maze,2021-06-24 21:00:27.801118,,242.0,3.0,,,,,,,,,,,,,,,,,,,,, +894,Auptimizer,LGE-ARC-AdvancedAI/auptimizer,hyperopt,,https://github.com/LGE-ARC-AdvancedAI/auptimizer,https://github.com/LGE-ARC-AdvancedAI/auptimizer,GPL-3.0,2019-09-12 01:08:37.000,2023-01-27 02:15:43.000000,2021-03-03 01:30:06,79.0,,26.0,22.0,44.0,1.0,5.0,200.0,An automatic ML model optimization tool.,11.0,12,False,2021-03-03 02:00:23.000,2.0,7.0,auptimizer,,,,,,,https://pypi.org/project/auptimizer,2021-03-02 02:40:32.000,,31.0,31.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +895,textvec,textvec/textvec,nlp,,https://github.com/textvec/textvec,https://github.com/textvec/textvec,MIT,2018-04-12 14:03:53.000,2024-01-09 14:26:49.000000,2024-01-09 14:26:42,74.0,1.0,26.0,8.0,16.0,4.0,6.0,191.0,Text vectorization tool to outperform TFIDF for classification tasks.,11.0,12,False,2019-09-12 07:41:04.000,2.0,1.0,textvec,,,,['sklearn'],4.0,4.0,https://pypi.org/project/textvec,,,47.0,47.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +896,ModelChimp,ModelChimp/modelchimp,ml-experiments,,https://github.com/ModelChimp/modelchimp,https://github.com/ModelChimp/modelchimp,BSD-2-Clause,2018-11-05 08:39:03.000,2023-11-14 18:32:58.000000,2021-08-01 07:11:57,363.0,,12.0,5.0,1238.0,4.0,10.0,126.0,Experiment tracking for machine and deep learning projects.,3.0,12,False,2019-04-09 10:43:15.000,0.4.0,37.0,modelchimp,,modelchimp/modelchimp-server,,,,,https://pypi.org/project/modelchimp,2019-04-09 10:41:20.000,,49.0,59.0,,,,https://hub.docker.com/r/modelchimp/modelchimp-server,2019-04-09 10:15:09.532793,,661.0,3.0,,,,,,,,,,,,,,,,,,,,, +897,Hypermax,electricbrainio/hypermax,hyperopt,,https://github.com/genixpro/hypermax,https://github.com/genixpro/hypermax,BSD-3-Clause,2018-07-27 18:43:01.000,2024-01-03 19:06:45.000000,2024-01-03 19:06:45,209.0,1.0,13.0,13.0,5.0,3.0,2.0,111.0,"Better, faster hyper-parameter optimization.",8.0,12,False,2019-10-23 15:40:12.000,0.5.1,11.0,hypermax,,,,,4.0,4.0,https://pypi.org/project/hypermax,2019-10-23 15:40:12.000,,45.0,45.0,,,,,,,,3.0,,,,genixpro/hypermax,,,,,,,,,,,,,,,,, +898,spacy-dbpedia-spotlight,MartinoMensio/spacy-dbpedia-spotlight,nlp,,https://github.com/MartinoMensio/spacy-dbpedia-spotlight,https://github.com/MartinoMensio/spacy-dbpedia-spotlight,MIT,2020-04-29 19:35:04.000,2023-03-24 11:33:01.000000,2023-03-24 11:32:56,55.0,,11.0,8.0,4.0,5.0,14.0,97.0,A spaCy wrapper for DBpedia Spotlight.,5.0,12,False,2023-03-08 10:33:19.000,0.2.6,11.0,spacy-dbpedia-spotlight,,,,['spacy'],,,https://pypi.org/project/spacy-dbpedia-spotlight,2022-10-07 09:58:11.751,,624.0,624.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +899,contextual-ai,SAP/contextual-ai,interpretability,,https://github.com/SAP-archive/contextual-ai,https://github.com/SAP-archive/contextual-ai,Apache-2.0,2020-05-12 07:15:56.000,2023-07-23 16:23:34.000000,2021-11-11 10:53:33,630.0,,11.0,13.0,26.0,4.0,13.0,85.0,"Contextual AI adds explainability to different stages of machine learning pipelines - data, training, and inference -..",12.0,12,False,2021-01-25 04:56:57.000,0.0.2,2.0,contextual-ai,,,,,,,https://pypi.org/project/contextual-ai,2021-01-25 04:56:57.000,,55.0,55.0,,,,,,,,3.0,,,,SAP-archive/contextual-ai,,,,,,,,,,,,,,,,, +900,nylon,Palashio/nylon,others,,https://github.com/Palashio/nylon,https://github.com/Palashio/nylon,MIT,2021-06-04 17:33:49.000,2021-07-29 20:34:04.000000,2021-07-23 19:37:10,185.0,,8.0,7.0,4.0,14.0,18.0,85.0,"An intelligent, flexible grammar of machine learning.",3.0,12,False,2021-06-25 14:27:32.000,0.0.7,8.0,nylon-ai,,,,,,,https://pypi.org/project/nylon-ai,2021-06-25 14:27:32.000,,52.0,52.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +901,Devol,joeddav/devol,hyperopt,,https://github.com/joeddav/devol,https://github.com/joeddav/devol,MIT,2017-02-10 03:07:54.000,2023-05-25 14:45:47.000000,2020-07-05 21:56:58,116.0,,112.0,47.0,13.0,7.0,20.0,949.0,Genetic neural architecture search with Keras.,18.0,11,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +902,PySparNN,facebookresearch/pysparnn,nn-search,,https://github.com/facebookresearch/pysparnn,https://github.com/facebookresearch/pysparnn,BSD-3-Clause,2016-03-28 20:43:42.000,2020-10-02 06:01:01.000000,2018-01-31 16:50:23,147.0,,143.0,39.0,7.0,15.0,14.0,911.0,Approximate Nearest Neighbor Search for Sparse Data in Python!.,5.0,11,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +903,Attribution Priors,suinleelab/attributionpriors,interpretability,,https://github.com/suinleelab/attributionpriors,https://github.com/suinleelab/attributionpriors,MIT,2019-06-24 23:54:24.000,2021-03-19 19:43:58.000000,2021-03-19 19:43:51,72.0,,10.0,6.0,,2.0,4.0,118.0,Tools for training explainable models using attribution priors.,6.0,11,False,2021-03-16 17:47:18.000,1.0.0,1.0,attributionpriors,,,,"['tensorflow', 'pytorch']",4.0,4.0,https://pypi.org/project/attributionpriors,,,39.0,39.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +904,bias-detector,intuit/bias-detector,interpretability,,https://github.com/intuit/bias-detector,https://github.com/intuit/bias-detector,MIT,2021-02-02 16:58:52.000,2022-09-29 08:50:58.000000,2022-09-29 08:50:40,122.0,,12.0,12.0,15.0,,,42.0,Bias Detector is a python package for detecting bias in machine learning models.,4.0,11,False,2021-04-22 15:20:54.000,0.0.12,11.0,bias-detector,,,,,1.0,1.0,https://pypi.org/project/bias-detector,2021-04-22 15:20:54.000,,108.0,108.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +905,nptsne,biovault/nptsne,data-viz,,https://github.com/biovault/nptsne,https://github.com/biovault/nptsne,Apache-2.0,2019-06-28 08:40:25.000,2023-07-14 11:30:56.000000,2021-02-03 08:52:27,857.0,,2.0,3.0,3.0,7.0,6.0,32.0,nptsne is a numpy compatible python binary package that offers a number of APIs for fast tSNE calculation.,3.0,11,False,2021-12-23 15:53:08.000,1.2.0,3.0,nptsne,,,,,6.0,6.0,https://pypi.org/project/nptsne,2021-12-23 15:53:08.000,,10.0,10.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +906,nanodl,HMUNACHI/nanodl,ml-frameworks,,https://github.com/HMUNACHI/nanodl,https://github.com/HMUNACHI/nanodl,MIT,2023-08-22 13:22:24.000,2024-01-30 16:45:20.000000,2024-01-30 16:45:06,93.0,53.0,,3.0,,,1.0,11.0,A Jax-based library for designing and training transformer models from scratch.,,11,False,,,2.0,nanodl,,,,['jax'],,,https://pypi.org/project/nanodl,2024-01-30 16:37:58.000,,184.0,184.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,True +907,Mozart,aashrafh/Mozart,ocr,,https://github.com/aashrafh/Mozart,https://github.com/aashrafh/Mozart,Apache-2.0,2020-12-14 11:49:14.000,2022-08-24 18:18:43.000000,2022-08-24 18:18:43,62.0,,79.0,18.0,5.0,3.0,12.0,547.0,An optical music recognition (OMR) system. Converts sheet music to a machine-readable version.,6.0,10,False,,,,,,,,['sklearn'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +908,textlesslib,facebookresearch/textlesslib,audio,,https://github.com/facebookresearch/textlesslib,https://github.com/facebookresearch/textlesslib,MIT,2022-02-09 16:28:00.000,2023-08-29 14:47:49.000000,2023-08-29 14:47:44,37.0,,49.0,14.0,13.0,9.0,9.0,484.0,Library for Textless Spoken Language Processing.,8.0,10,True,,,,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +909,moolib,facebookresearch/moolib,distributed-ml,,https://github.com/facebookresearch/moolib,https://github.com/facebookresearch/moolib,MIT,2021-08-26 09:15:58.000,2022-12-12 15:07:44.000000,2022-12-12 15:07:38,41.0,,20.0,12.0,41.0,7.0,12.0,364.0,A library for distributed ML training with PyTorch.,6.0,10,False,2022-02-10 16:56:22.000,0.0.9c,1.0,,,,,['pytorch'],3.0,3.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +910,Headliner,as-ideas/headliner,nlp,,https://github.com/as-ideas/headliner,https://github.com/as-ideas/headliner,,2019-09-30 11:33:28.000,2021-03-26 07:19:57.000000,2020-02-14 09:03:27,276.0,,41.0,17.0,7.0,2.0,13.0,231.0,Easy training and deployment of seq2seq models.,2.0,10,False,,,,headliner,,,,,5.0,5.0,https://pypi.org/project/headliner,,,125.0,125.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +911,autodist,petuum/autodist,distributed-ml,,https://github.com/petuum/autodist,https://github.com/petuum/autodist,Apache-2.0,2020-06-29 19:45:38.000,2022-09-23 22:45:06.000000,2021-01-28 00:04:40,208.0,,25.0,16.0,51.0,11.0,1.0,133.0,Simple Distributed Deep Learning on TensorFlow.,11.0,10,False,,,2.0,autodist,,,,['tensorflow'],1.0,1.0,https://pypi.org/project/autodist,2020-07-16 05:36:19.000,,17.0,17.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +912,deltapy,firmai/deltapy,tabular,,https://github.com/firmai/deltapy,https://github.com/firmai/deltapy,,2020-04-08 05:27:53.000,2023-09-19 11:11:53.000000,2022-03-01 16:13:48,42.0,,52.0,16.0,3.0,2.0,1.0,521.0,DeltaPy - Tabular Data Augmentation (by @firmai).,4.0,9,False,2020-11-12 16:13:21.000,zen,1.0,deltapy,,,,,3.0,3.0,https://pypi.org/project/deltapy,,,115.0,115.0,,,,,,,,3.0,,-3.0,,,,,,,,,,,,,,,,,,, +913,Hypertunity,gdikov/hypertunity,hyperopt,,https://github.com/gdikov/hypertunity,https://github.com/gdikov/hypertunity,Apache-2.0,2019-06-02 12:04:55.000,2020-01-26 23:14:49.000000,2020-01-26 22:53:29,64.0,,10.0,10.0,44.0,,2.0,135.0,A toolset for black-box hyperparameter optimisation.,2.0,9,False,2020-01-26 23:08:16.000,1.0.1,7.0,hypertunity,,,,,2.0,2.0,https://pypi.org/project/hypertunity,2020-01-26 23:08:16.000,,22.0,22.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +914,traintool,jrieke/traintool,ml-experiments,,https://github.com/jrieke/traintool,https://github.com/jrieke/traintool,Apache-2.0,2020-09-30 22:23:05.000,2021-03-12 01:44:04.000000,2021-03-12 01:43:14,122.0,,1.0,4.0,,,,12.0,Train off-the-shelf machine learning models in one line of code.,,9,False,2020-11-02 02:25:32.000,0.0.3,3.0,traintool,,,,"['pytorch', 'tensorflow', 'sklearn']",,,https://pypi.org/project/traintool,2020-11-02 02:25:32.000,,32.0,32.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +915,pyrtfolio,alvarobartt/pyrtfolio,financial-data,,https://github.com/alvarobartt/pyrtfolio,https://github.com/alvarobartt/pyrtfolio,GPL-3.0,2019-10-06 20:22:12.000,2022-05-14 21:32:20.000000,2020-11-20 09:58:41,19.0,,25.0,7.0,2.0,2.0,6.0,139.0,Python package to generate stock portfolios.,4.0,8,False,2020-03-13 20:04:08.000,0.2,3.0,pyrtfolio,,,,,,,https://pypi.org/project/pyrtfolio,2020-03-13 20:31:47.000,,14.0,14.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, +916,tslumen,hsbc/tslumen,time-series-data,,https://github.com/hsbc/tslumen,https://github.com/hsbc/tslumen,Apache-2.0,2022-11-09 14:06:09.000,2022-11-23 19:03:57.000000,2022-11-22 16:44:39,2.0,,4.0,7.0,,1.0,,56.0,A library for Time Series EDA (exploratory data analysis).,2.0,8,False,2022-11-22 17:50:34.944,0.0.1,1.0,tslumen,conda-forge/tslumen,,,,1.0,,https://pypi.org/project/tslumen,2022-11-22 17:50:34.944,1.0,19.0,19.0,https://anaconda.org/conda-forge/tslumen,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,, diff --git a/latest-changes.md b/latest-changes.md index f20dab96..c4fb0e48 100644 --- a/latest-changes.md +++ b/latest-changes.md @@ -2,29 +2,35 @@ _Projects that have a higher project-quality score compared to the last update. There might be a variety of reasons, such as increased downloads or code activity._ -- <b><a href="https://github.com/tensorflow/tensorflow">Tensorflow</a></b> (π₯54 Β· β 180K Β· π) - An Open Source Machine Learning Framework for Everyone. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code> -- <b><a href="https://github.com/huggingface/transformers">transformers</a></b> (π₯50 Β· β 120K Β· π) - Transformers: State-of-the-art Machine Learning for.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code> -- <b><a href="https://github.com/scipy/scipy">scipy</a></b> (π₯50 Β· β 12K Β· π) - Ecosystem of open-source software for mathematics, science, and.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> -- <b><a href="https://github.com/scikit-learn-contrib/imbalanced-learn">imbalanced-learn</a></b> (π₯36 Β· β 6.6K Β· π) - A Python Package to Tackle the Curse of Imbalanced.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code> -- <b><a href="https://github.com/mlpack/mlpack">mlpack</a></b> (π₯33 Β· β 4.7K Β· π) - mlpack: a fast, header-only C++ machine learning library. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> -- <b><a href="https://github.com/microsoft/CNTK">CNTK</a></b> (π₯30 Β· β 17K Β· π) - Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> -- <b><a href="https://github.com/sony/nnabla">Neural Network Libraries</a></b> (π₯30 Β· β 2.7K Β· π) - Neural Network Libraries. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> -- <b><a href="https://github.com/qubvel/efficientnet">efficientnet</a></b> (π₯27 Β· β 2K Β· π) - Implementation of EfficientNet model. Keras and.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code> -- <b><a href="https://github.com/EpistasisLab/scikit-rebate">scikit-rebate</a></b> (π₯20 Β· β 390 Β· π) - A scikit-learn-compatible Python implementation of.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code> -- <b><a href="https://github.com/google-deepmind/launchpad">launchpad</a></b> (π₯20 Β· β 310 Β· π) - Launchpad is a library that simplifies writing.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code> +- <b><a href="https://github.com/keras-team/keras">Keras</a></b> (π₯47 Β· β 60K Β· π) - Deep Learning for humans. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code> +- <b><a href="https://github.com/apache/spark">PySpark</a></b> (π₯45 Β· β 38K Β· π) - Apache Spark Python API. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1N" style="display:inline;" width="13" height="13"></code> +- <b><a href="https://github.com/cupy/cupy">CuPy</a></b> (π₯38 Β· β 7.5K Β· π) - NumPy & SciPy for GPU. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> +- <b><a href="https://github.com/apache/flink">PyFlink</a></b> (π₯37 Β· β 23K Β· π) - Apache Flink Python API. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> +- <b><a href="https://github.com/mozilla/DeepSpeech">DeepSpeech</a></b> (π₯34 Β· β 24K Β· π) - DeepSpeech is an open source embedded (offline, on-.. <code><a href="http://bit.ly/3postzC">MPL-2.0</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code> +- <b><a href="https://github.com/pytorch/text">torchtext</a></b> (π₯34 Β· β 3.4K Β· π) - Models, data loaders and abstractions for language.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code> +- <b><a href="https://github.com/lmcinnes/umap">UMAP</a></b> (π₯33 Β· β 6.8K Β· π) - Uniform Manifold Approximation and Projection. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> +- <b><a href="https://github.com/madmaze/pytesseract">Tesseract</a></b> (π₯33 Β· β 5.3K Β· π) - Python-tesseract is an optical character recognition (OCR).. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> +- <b><a href="https://github.com/anhaidgroup/deepmatcher">DeepMatcher</a></b> (π₯22 Β· β 4.9K Β· π) - Python package for performing Entity and Text Matching using.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> +- <b><a href="https://github.com/edublancas/sklearn-evaluation">sklearn-evaluation</a></b> (π₯17 Β· β 360 Β· π) - Machine learning model evaluation made easy: plots,.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code> ## π Trending Down _Projects that have a lower project-quality score compared to the last update. There might be a variety of reasons such as decreased downloads or code activity._ -- <b><a href="https://github.com/apache/spark">PySpark</a></b> (π₯38 Β· β 38K Β· π) - Apache Spark Python API. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1N" style="display:inline;" width="13" height="13"></code> -- <b><a href="https://github.com/apache/flink">PyFlink</a></b> (π₯33 Β· β 23K Β· π) - Apache Flink Python API. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> -- <b><a href="https://github.com/deepinsight/insightface">InsightFace</a></b> (π₯31 Β· β 20K Β· π) - State-of-the-art 2D and 3D Face Analysis Project. <code>βUnlicensed</code> <code><img src="https://git.io/JLy1X" style="display:inline;" width="13" height="13"></code> -- <b><a href="https://github.com/pytorch/text">torchtext</a></b> (π₯29 Β· β 3.4K Β· π) - Models, data loaders and abstractions for language.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> <code><img src="https://git.io/JLy1Q" style="display:inline;" width="13" height="13"></code> -- <b><a href="https://github.com/tensorflow/agents">TF-Agents</a></b> (π₯29 Β· β 2.7K Β· π) - TF-Agents: A reliable, scalable and easy to use.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1A" style="display:inline;" width="13" height="13"></code> -- <b><a href="https://github.com/lmcinnes/umap">UMAP</a></b> (π₯28 Β· β 6.7K Β· π) - Uniform Manifold Approximation and Projection. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> -- <b><a href="https://github.com/madmaze/pytesseract">Tesseract</a></b> (π₯28 Β· β 5.3K Β· π) - Python-tesseract is an optical character recognition (OCR).. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> -- <b><a href="https://github.com/rspeer/python-ftfy">ftfy</a></b> (π₯28 Β· β 3.6K Β· π) - Fixes mojibake and other glitches in Unicode text, after the fact. <code>βUnlicensed</code> -- <b><a href="https://github.com/anhaidgroup/deepmatcher">DeepMatcher</a></b> (π₯17 Β· β 520 Β· π) - Python package for performing Entity and Text Matching using.. <code><a href="http://bit.ly/3aKzpTv">BSD-3</a></code> -- <b><a href="https://github.com/edublancas/sklearn-evaluation">sklearn-evaluation</a></b> (π₯10 Β· β 3 Β· π€) - Machine learning model evaluation made easy: plots,.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code> +- <b><a href="https://github.com/h2oai/h2o-3">H2O-3</a></b> (π₯33 Β· β 6.6K Β· π) - H2O is an Open Source, Distributed, Fast & Scalable Machine.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> +- <b><a href="https://github.com/rasbt/mlxtend">MLxtend</a></b> (π₯32 Β· β 4.7K Β· π) - A library of extension and helper modules for Pythons.. <code>βUnlicensed</code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code> +- <b><a href="https://github.com/bukosabino/ta">ta</a></b> (π₯28 Β· β 3.9K Β· π) - Technical Analysis Library using Pandas and Numpy. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> +- <b><a href="https://github.com/openai/baselines">baselines</a></b> (π₯26 Β· β 15K Β· π) - OpenAI Baselines: high-quality implementations of reinforcement.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> +- <b><a href="https://github.com/luispedro/mahotas">mahotas</a></b> (π₯25 Β· β 820 Β· π) - Computer Vision in Python. <code>βUnlicensed</code> +- <b><a href="https://github.com/dmlc/gluon-nlp">GluonNLP</a></b> (π₯24 Β· β 2.6K Β· π) - Toolkit that enables easy text preprocessing, datasets.. <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code> <code><img src="https://git.io/JLy1X" style="display:inline;" width="13" height="13"></code> +- <b><a href="https://github.com/TeamHG-Memex/sklearn-crfsuite">sklearn-crfsuite</a></b> (π₯22 Β· β 420 Β· π) - scikit-learn inspired API for CRFsuite. <code>βUnlicensed</code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code> +- <b><a href="https://github.com/AnotherSamWilson/miceforest">miceforest</a></b> (π₯20 Β· β 280 Β· π) - Multiple Imputation with LightGBM in Python. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> +- <b><a href="https://github.com/EpistasisLab/scikit-rebate">scikit-rebate</a></b> (π₯16 Β· β 390 Β· π) - A scikit-learn-compatible Python implementation of.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://git.io/JLy1F" style="display:inline;" width="13" height="13"></code> +- <b><a href="https://github.com/firmai/deltapy">deltapy</a></b> (π₯9 Β· β 520 Β· π) - DeltaPy - Tabular Data Augmentation (by @firmai). <code>βUnlicensed</code> + +## β Added Projects + +_Projects that were recently added to this best-of list._ + +- <b><a href="https://github.com/HMUNACHI/nanodl">nanodl</a></b> (π₯11 Β· β 11 Β· π£) - A Jax-based library for designing and training transformer models.. <code><a href="http://bit.ly/34MBwT8">MIT</a></code> <code><img src="https://jax.readthedocs.io/en/latest/_static/favicon.png" style="display:inline;" width="13" height="13"></code>