From 45808ba54bbda53344f89a0216d8c4747637694e Mon Sep 17 00:00:00 2001 From: LukasMasuch Date: Thu, 16 Nov 2023 14:57:45 +0000 Subject: [PATCH] Update best-of list for version 2023.11.16 --- README.md | 2862 ++++++++++++++++--------------- history/2023-11-16_changes.md | 30 + history/2023-11-16_projects.csv | 917 ++++++++++ latest-changes.md | 40 +- 4 files changed, 2400 insertions(+), 1449 deletions(-) create mode 100644 history/2023-11-16_changes.md create mode 100644 history/2023-11-16_projects.csv diff --git a/README.md b/README.md index de87ded9..faf9643e 100644 --- a/README.md +++ b/README.md @@ -101,7 +101,7 @@ _General-purpose machine learning and deep learning frameworks._
Tensorflow (πŸ₯‡54 Β· ⭐ 180K) - An Open Source Machine Learning Framework for Everyone. Apache-2 -- [GitHub](https://github.com/tensorflow/tensorflow) (πŸ‘¨β€πŸ’» 4.5K Β· πŸ”€ 72K Β· πŸ“¦ 320K Β· πŸ“‹ 38K - 5% open Β· ⏱️ 09.11.2023): +- [GitHub](https://github.com/tensorflow/tensorflow) (πŸ‘¨β€πŸ’» 4.5K Β· πŸ”€ 72K Β· πŸ“¦ 320K Β· πŸ“‹ 38K - 5% open Β· ⏱️ 16.11.2023): ``` git clone https://github.com/tensorflow/tensorflow @@ -110,18 +110,18 @@ _General-purpose machine learning and deep learning frameworks._ ``` pip install tensorflow ``` -- [Conda](https://anaconda.org/conda-forge/tensorflow) (πŸ“₯ 4.4M Β· ⏱️ 23.10.2023): +- [Conda](https://anaconda.org/conda-forge/tensorflow) (πŸ“₯ 4.4M Β· ⏱️ 14.11.2023): ``` conda install -c conda-forge tensorflow ``` -- [Docker Hub](https://hub.docker.com/r/tensorflow/tensorflow) (πŸ“₯ 75M Β· ⭐ 2.2K Β· ⏱️ 09.11.2023): +- [Docker Hub](https://hub.docker.com/r/tensorflow/tensorflow) (πŸ“₯ 75M Β· ⭐ 2.2K Β· ⏱️ 16.11.2023): ``` docker pull tensorflow/tensorflow ```
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PyTorch (πŸ₯‡53 Β· ⭐ 72K) - Tensors and Dynamic neural networks in Python with strong GPU.. BSD-3 +
PyTorch (πŸ₯‡54 Β· ⭐ 73K) - Tensors and Dynamic neural networks in Python with strong GPU.. BSD-3 -- [GitHub](https://github.com/pytorch/pytorch) (πŸ‘¨β€πŸ’» 4.5K Β· πŸ”€ 19K Β· πŸ“₯ 27K Β· πŸ“¦ 340K Β· πŸ“‹ 38K - 32% open Β· ⏱️ 09.11.2023): +- [GitHub](https://github.com/pytorch/pytorch) (πŸ‘¨β€πŸ’» 4.5K Β· πŸ”€ 19K Β· πŸ“₯ 27K Β· πŸ“¦ 340K Β· πŸ“‹ 38K - 32% open Β· ⏱️ 16.11.2023): ``` git clone https://github.com/pytorch/pytorch @@ -130,14 +130,14 @@ _General-purpose machine learning and deep learning frameworks._ ``` pip install torch ``` -- [Conda](https://anaconda.org/pytorch/pytorch) (πŸ“₯ 19M Β· ⏱️ 03.10.2023): +- [Conda](https://anaconda.org/pytorch/pytorch) (πŸ“₯ 20M Β· ⏱️ 14.11.2023): ``` conda install -c pytorch pytorch ```
scikit-learn (πŸ₯‡52 Β· ⭐ 56K) - scikit-learn: machine learning in Python. BSD-3 -- [GitHub](https://github.com/scikit-learn/scikit-learn) (πŸ‘¨β€πŸ’» 3K Β· πŸ”€ 24K Β· πŸ“₯ 910 Β· πŸ“¦ 630K Β· πŸ“‹ 11K - 15% open Β· ⏱️ 08.11.2023): +- [GitHub](https://github.com/scikit-learn/scikit-learn) (πŸ‘¨β€πŸ’» 3K Β· πŸ”€ 24K Β· πŸ“₯ 910 Β· πŸ“¦ 640K Β· πŸ“‹ 11K - 15% open Β· ⏱️ 16.11.2023): ``` git clone https://github.com/scikit-learn/scikit-learn @@ -146,35 +146,35 @@ _General-purpose machine learning and deep learning frameworks._ ``` pip install scikit-learn ``` -- [Conda](https://anaconda.org/conda-forge/scikit-learn) (πŸ“₯ 25M Β· ⏱️ 25.10.2023): +- [Conda](https://anaconda.org/conda-forge/scikit-learn) (πŸ“₯ 26M Β· ⏱️ 25.10.2023): ``` conda install -c conda-forge scikit-learn ```
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PySpark (πŸ₯‡45 Β· ⭐ 37K) - Apache Spark Python API. Apache-2 +
Keras (πŸ₯‡50 Β· ⭐ 60K Β· πŸ“ˆ) - Deep Learning for humans. Apache-2 -- [GitHub](https://github.com/apache/spark) (πŸ‘¨β€πŸ’» 3K Β· πŸ”€ 28K Β· ⏱️ 09.11.2023): +- [GitHub](https://github.com/keras-team/keras) (πŸ‘¨β€πŸ’» 1.3K Β· πŸ”€ 19K Β· πŸ“¦ 190K Β· πŸ“‹ 11K - 1% open Β· ⏱️ 16.11.2023): ``` - git clone https://github.com/apache/spark + git clone https://github.com/keras-team/keras ``` -- [PyPi](https://pypi.org/project/pyspark) (πŸ“₯ 27M / month Β· πŸ“¦ 1.2K Β· ⏱️ 26.09.2023): +- [PyPi](https://pypi.org/project/keras) (πŸ“₯ 13M / month): ``` - pip install pyspark + pip install keras ``` -- [Conda](https://anaconda.org/conda-forge/pyspark) (πŸ“₯ 2.9M Β· ⏱️ 04.10.2023): +- [Conda](https://anaconda.org/conda-forge/keras) (πŸ“₯ 3.3M Β· ⏱️ 15.11.2023): ``` - conda install -c conda-forge pyspark + conda install -c conda-forge keras ```
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jax (πŸ₯‡45 Β· ⭐ 25K) - Composable transformations of Python+NumPy programs: differentiate,.. Apache-2 +
jax (πŸ₯‡45 Β· ⭐ 26K) - Composable transformations of Python+NumPy programs: differentiate,.. Apache-2 -- [GitHub](https://github.com/google/jax) (πŸ‘¨β€πŸ’» 600 Β· πŸ”€ 2.3K Β· πŸ“¦ 19K Β· πŸ“‹ 5K - 30% open Β· ⏱️ 09.11.2023): +- [GitHub](https://github.com/google/jax) (πŸ‘¨β€πŸ’» 600 Β· πŸ”€ 2.3K Β· πŸ“¦ 19K Β· πŸ“‹ 4.7K - 25% open Β· ⏱️ 16.11.2023): ``` git clone https://github.com/google/jax ``` -- [PyPi](https://pypi.org/project/jax) (πŸ“₯ 12M / month Β· πŸ“¦ 730 Β· ⏱️ 02.11.2023): +- [PyPi](https://pypi.org/project/jax) (πŸ“₯ 12M / month): ``` pip install jax ``` @@ -185,12 +185,12 @@ _General-purpose machine learning and deep learning frameworks._
pytorch-lightning (πŸ₯‡45 Β· ⭐ 25K) - Deep learning framework to train, deploy, and ship AI.. Apache-2 -- [GitHub](https://github.com/Lightning-AI/lightning) (πŸ‘¨β€πŸ’» 910 Β· πŸ”€ 3K Β· πŸ“₯ 14K Β· πŸ“¦ 26K Β· πŸ“‹ 6.6K - 10% open Β· ⏱️ 09.11.2023): +- [GitHub](https://github.com/Lightning-AI/lightning) (πŸ‘¨β€πŸ’» 910 Β· πŸ”€ 3K Β· πŸ“₯ 14K Β· πŸ“¦ 26K Β· πŸ“‹ 6.6K - 10% open Β· ⏱️ 16.11.2023): ``` git clone https://github.com/Lightning-AI/lightning ``` -- [PyPi](https://pypi.org/project/pytorch-lightning) (πŸ“₯ 4.3M / month Β· πŸ“¦ 730 Β· ⏱️ 08.11.2023): +- [PyPi](https://pypi.org/project/pytorch-lightning) (πŸ“₯ 4.4M / month): ``` pip install pytorch-lightning ``` @@ -201,35 +201,19 @@ _General-purpose machine learning and deep learning frameworks._
PaddlePaddle (πŸ₯‡45 Β· ⭐ 21K) - PArallel Distributed Deep LEarning: Machine Learning.. Apache-2 -- [GitHub](https://github.com/PaddlePaddle/Paddle) (πŸ‘¨β€πŸ’» 1.1K Β· πŸ”€ 5.4K Β· πŸ“₯ 15K Β· πŸ“¦ 4.2K Β· πŸ“‹ 18K - 10% open Β· ⏱️ 09.11.2023): +- [GitHub](https://github.com/PaddlePaddle/Paddle) (πŸ‘¨β€πŸ’» 1.1K Β· πŸ”€ 5.2K Β· πŸ“₯ 15K Β· πŸ“¦ 4.3K Β· πŸ“‹ 17K - 6% open Β· ⏱️ 16.11.2023): ``` git clone https://github.com/PaddlePaddle/Paddle ``` -- [PyPi](https://pypi.org/project/paddlepaddle) (πŸ“₯ 180K / month Β· πŸ“¦ 88 Β· ⏱️ 25.10.2023): +- [PyPi](https://pypi.org/project/paddlepaddle) (πŸ“₯ 170K / month): ``` pip install paddlepaddle ```
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Keras (πŸ₯ˆ44 Β· ⭐ 60K) - Deep Learning for humans. Apache-2 - -- [GitHub](https://github.com/keras-team/keras) (πŸ‘¨β€πŸ’» 1.2K Β· πŸ”€ 19K Β· πŸ“¦ 21 Β· πŸ“‹ 11K - 1% open Β· ⏱️ 09.11.2023): - - ``` - git clone https://github.com/keras-team/keras - ``` -- [PyPi](https://pypi.org/project/keras) (πŸ“₯ 13M / month): - ``` - pip install keras - ``` -- [Conda](https://anaconda.org/conda-forge/keras) (πŸ“₯ 3.3M Β· ⏱️ 27.10.2023): - ``` - conda install -c conda-forge keras - ``` -
XGBoost (πŸ₯ˆ44 Β· ⭐ 25K) - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or.. Apache-2 -- [GitHub](https://github.com/dmlc/xgboost) (πŸ‘¨β€πŸ’» 630 Β· πŸ”€ 8.1K Β· πŸ“₯ 7.6K Β· πŸ“¦ 71K Β· πŸ“‹ 5K - 6% open Β· ⏱️ 08.11.2023): +- [GitHub](https://github.com/dmlc/xgboost) (πŸ‘¨β€πŸ’» 630 Β· πŸ”€ 8.1K Β· πŸ“₯ 7.6K Β· πŸ“¦ 72K Β· πŸ“‹ 5K - 6% open Β· ⏱️ 16.11.2023): ``` git clone https://github.com/dmlc/xgboost @@ -245,7 +229,7 @@ _General-purpose machine learning and deep learning frameworks._
LightGBM (πŸ₯ˆ43 Β· ⭐ 16K) - A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT,.. MIT -- [GitHub](https://github.com/microsoft/LightGBM) (πŸ‘¨β€πŸ’» 290 Β· πŸ”€ 3.8K Β· πŸ“₯ 210K Β· πŸ“¦ 27K Β· πŸ“‹ 3.2K - 9% open Β· ⏱️ 09.11.2023): +- [GitHub](https://github.com/microsoft/LightGBM) (πŸ‘¨β€πŸ’» 290 Β· πŸ”€ 3.8K Β· πŸ“₯ 210K Β· πŸ“¦ 27K Β· πŸ“‹ 3.2K - 9% open Β· ⏱️ 16.11.2023): ``` git clone https://github.com/microsoft/LightGBM @@ -275,9 +259,9 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c conda-forge statsmodels ```
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Catboost (πŸ₯ˆ41 Β· ⭐ 7.4K) - A fast, scalable, high performance Gradient Boosting on Decision.. Apache-2 +
Catboost (πŸ₯ˆ41 Β· ⭐ 7.5K) - A fast, scalable, high performance Gradient Boosting on Decision.. Apache-2 -- [GitHub](https://github.com/catboost/catboost) (πŸ‘¨β€πŸ’» 1.2K Β· πŸ”€ 1.1K Β· πŸ“₯ 190K Β· πŸ“¦ 11 Β· πŸ“‹ 2.1K - 24% open Β· ⏱️ 09.11.2023): +- [GitHub](https://github.com/catboost/catboost) (πŸ‘¨β€πŸ’» 1.2K Β· πŸ”€ 1.1K Β· πŸ“₯ 190K Β· πŸ“¦ 11 Β· πŸ“‹ 2.2K - 24% open Β· ⏱️ 16.11.2023): ``` git clone https://github.com/catboost/catboost @@ -298,19 +282,19 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/fastai/fastai ``` -- [PyPi](https://pypi.org/project/fastai) (πŸ“₯ 430K / month Β· πŸ“¦ 340 Β· ⏱️ 15.10.2023): +- [PyPi](https://pypi.org/project/fastai) (πŸ“₯ 450K / month Β· πŸ“¦ 340 Β· ⏱️ 15.10.2023): ``` pip install fastai ```
Jina (πŸ₯ˆ40 Β· ⭐ 19K) - Build multimodal AI applications with cloud-native stack. Apache-2 -- [GitHub](https://github.com/jina-ai/jina) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 2.1K Β· πŸ“¦ 1.3K Β· πŸ“‹ 1.9K - 0% open Β· ⏱️ 08.11.2023): +- [GitHub](https://github.com/jina-ai/jina) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 2.2K Β· πŸ“¦ 1.3K Β· πŸ“‹ 1.9K - 0% open Β· ⏱️ 15.11.2023): ``` git clone https://github.com/jina-ai/jina ``` -- [PyPi](https://pypi.org/project/jina) (πŸ“₯ 85K / month): +- [PyPi](https://pypi.org/project/jina) (πŸ“₯ 86K / month Β· πŸ“¦ 16 Β· ⏱️ 03.11.2023): ``` pip install jina ``` @@ -318,19 +302,19 @@ _General-purpose machine learning and deep learning frameworks._ ``` conda install -c conda-forge jina-core ``` -- [Docker Hub](https://hub.docker.com/r/jinaai/jina) (πŸ“₯ 1.3M Β· ⭐ 8 Β· ⏱️ 08.11.2023): +- [Docker Hub](https://hub.docker.com/r/jinaai/jina) (πŸ“₯ 1.3M Β· ⭐ 8 Β· ⏱️ 15.11.2023): ``` docker pull jinaai/jina ```
Flax (πŸ₯ˆ39 Β· ⭐ 4.9K) - Flax is a neural network library for JAX that is designed for.. Apache-2 -- [GitHub](https://github.com/google/flax) (πŸ‘¨β€πŸ’» 210 Β· πŸ”€ 550 Β· πŸ“₯ 50 Β· πŸ“¦ 4.9K Β· πŸ“‹ 820 - 20% open Β· ⏱️ 09.11.2023): +- [GitHub](https://github.com/google/flax) (πŸ‘¨β€πŸ’» 210 Β· πŸ”€ 530 Β· πŸ“₯ 50 Β· πŸ“¦ 5K Β· πŸ“‹ 750 - 12% open Β· ⏱️ 15.11.2023): ``` git clone https://github.com/google/flax ``` -- [PyPi](https://pypi.org/project/flax) (πŸ“₯ 10M / month Β· πŸ“¦ 180 Β· ⏱️ 28.10.2023): +- [PyPi](https://pypi.org/project/flax) (πŸ“₯ 10M / month): ``` pip install flax ``` @@ -339,14 +323,30 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c conda-forge flax ```
+
PySpark (πŸ₯ˆ38 Β· ⭐ 37K Β· πŸ“‰) - Apache Spark Python API. Apache-2 + +- [GitHub](https://github.com/apache/spark) (πŸ‘¨β€πŸ’» 3K Β· πŸ”€ 26K Β· ⏱️ 16.11.2023): + + ``` + git clone https://github.com/apache/spark + ``` +- [PyPi](https://pypi.org/project/pyspark) (πŸ“₯ 27M / month): + ``` + pip install pyspark + ``` +- [Conda](https://anaconda.org/conda-forge/pyspark) (πŸ“₯ 2.9M Β· ⏱️ 04.10.2023): + ``` + conda install -c conda-forge pyspark + ``` +
MXNet (πŸ₯ˆ38 Β· ⭐ 21K Β· πŸ’€) - Lightweight, Portable, Flexible Distributed/Mobile Deep.. Apache-2 -- [GitHub](https://github.com/apache/mxnet) (πŸ‘¨β€πŸ’» 980 Β· πŸ”€ 6.9K Β· πŸ“₯ 26K Β· πŸ“¦ 6.8K Β· πŸ“‹ 9.6K - 18% open Β· ⏱️ 26.01.2023): +- [GitHub](https://github.com/apache/mxnet) (πŸ‘¨β€πŸ’» 980 Β· πŸ”€ 6.9K Β· πŸ“₯ 26K Β· πŸ“¦ 6.9K Β· πŸ“‹ 9.6K - 18% open Β· ⏱️ 26.01.2023): ``` git clone https://github.com/apache/incubator-mxnet ``` -- [PyPi](https://pypi.org/project/mxnet) (πŸ“₯ 350K / month Β· πŸ“¦ 290 Β· ⏱️ 17.05.2022): +- [PyPi](https://pypi.org/project/mxnet) (πŸ“₯ 340K / month Β· πŸ“¦ 290 Β· ⏱️ 17.05.2022): ``` pip install mxnet ``` @@ -355,38 +355,42 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c anaconda mxnet ```
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PyFlink (πŸ₯ˆ37 Β· ⭐ 22K) - Apache Flink Python API. Apache-2 +
Theano (πŸ₯ˆ38 Β· ⭐ 9.8K Β· πŸ’€) - Theano was a Python library that allows you to define, optimize, and.. BSD-3 -- [GitHub](https://github.com/apache/flink) (πŸ‘¨β€πŸ’» 1.8K Β· πŸ”€ 12K Β· πŸ“¦ 21 Β· ⏱️ 09.11.2023): +- [GitHub](https://github.com/Theano/Theano) (πŸ‘¨β€πŸ’» 390 Β· πŸ”€ 2.5K Β· πŸ“¦ 14K Β· πŸ“‹ 2.8K - 24% open Β· ⏱️ 20.12.2022): ``` - git clone https://github.com/apache/flink + git clone https://github.com/Theano/Theano ``` -- [PyPi](https://pypi.org/project/apache-flink) (πŸ“₯ 92K / month Β· πŸ“¦ 23 Β· ⏱️ 24.10.2023): +- [PyPi](https://pypi.org/project/theano) (πŸ“₯ 300K / month Β· πŸ“¦ 2.8K Β· ⏱️ 27.07.2020): ``` - pip install apache-flink + pip install theano + ``` +- [Conda](https://anaconda.org/conda-forge/theano) (πŸ“₯ 2.4M Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge theano ```
ivy (πŸ₯ˆ36 Β· ⭐ 14K) - The Unified AI Framework. Apache-2 -- [GitHub](https://github.com/unifyai/ivy) (πŸ‘¨β€πŸ’» 1.4K Β· πŸ”€ 6K Β· πŸ“‹ 17K - 21% open Β· ⏱️ 09.11.2023): +- [GitHub](https://github.com/unifyai/ivy) (πŸ‘¨β€πŸ’» 1.4K Β· πŸ”€ 6K Β· πŸ“‹ 17K - 21% open Β· ⏱️ 16.11.2023): ``` git clone https://github.com/unifyai/ivy ``` -- [PyPi](https://pypi.org/project/ivy) (πŸ“₯ 840 / month Β· πŸ“¦ 9 Β· ⏱️ 11.10.2023): +- [PyPi](https://pypi.org/project/ivy) (πŸ“₯ 550 / month Β· πŸ“¦ 9 Β· ⏱️ 11.10.2023): ``` pip install ivy ```
einops (πŸ₯ˆ35 Β· ⭐ 7.4K) - Deep learning operations reinvented (for pytorch, tensorflow, jax and.. MIT -- [GitHub](https://github.com/arogozhnikov/einops) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 310 Β· πŸ“¦ 20K Β· πŸ“‹ 160 - 19% open Β· ⏱️ 11.10.2023): +- [GitHub](https://github.com/arogozhnikov/einops) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 310 Β· πŸ“¦ 20K Β· πŸ“‹ 150 - 17% open Β· ⏱️ 11.10.2023): ``` git clone https://github.com/arogozhnikov/einops ``` -- [PyPi](https://pypi.org/project/einops) (πŸ“₯ 4.9M / month Β· πŸ“¦ 680 Β· ⏱️ 01.10.2023): +- [PyPi](https://pypi.org/project/einops) (πŸ“₯ 5.1M / month): ``` pip install einops ``` @@ -397,12 +401,12 @@ _General-purpose machine learning and deep learning frameworks._
Ignite (πŸ₯ˆ35 Β· ⭐ 4.4K) - High-level library to help with training and evaluating neural.. BSD-3 -- [GitHub](https://github.com/pytorch/ignite) (πŸ‘¨β€πŸ’» 320 Β· πŸ”€ 600 Β· πŸ“¦ 2.5K Β· πŸ“‹ 1.3K - 11% open Β· ⏱️ 19.10.2023): +- [GitHub](https://github.com/pytorch/ignite) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 590 Β· πŸ“¦ 2.5K Β· πŸ“‹ 1.3K - 8% open Β· ⏱️ 10.11.2023): ``` git clone https://github.com/pytorch/ignite ``` -- [PyPi](https://pypi.org/project/pytorch-ignite) (πŸ“₯ 200K / month Β· πŸ“¦ 48 Β· ⏱️ 09.11.2023): +- [PyPi](https://pypi.org/project/pytorch-ignite) (πŸ“₯ 210K / month): ``` pip install pytorch-ignite ``` @@ -413,12 +417,12 @@ _General-purpose machine learning and deep learning frameworks._
Thinc (πŸ₯ˆ35 Β· ⭐ 2.8K) - A refreshing functional take on deep learning, compatible with your favorite.. MIT -- [GitHub](https://github.com/explosion/thinc) (πŸ‘¨β€πŸ’» 63 Β· πŸ”€ 280 Β· πŸ“¦ 39K Β· πŸ“‹ 140 - 13% open Β· ⏱️ 08.11.2023): +- [GitHub](https://github.com/explosion/thinc) (πŸ‘¨β€πŸ’» 63 Β· πŸ”€ 270 Β· πŸ“¦ 39K Β· πŸ“‹ 140 - 12% open Β· ⏱️ 08.11.2023): ``` git clone https://github.com/explosion/thinc ``` -- [PyPi](https://pypi.org/project/thinc) (πŸ“₯ 6M / month Β· πŸ“¦ 640 Β· ⏱️ 22.09.2023): +- [PyPi](https://pypi.org/project/thinc) (πŸ“₯ 5.8M / month): ``` pip install thinc ``` @@ -427,14 +431,26 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c conda-forge thinc ```
+
PyFlink (πŸ₯ˆ34 Β· ⭐ 22K Β· πŸ“‰) - Apache Flink Python API. Apache-2 + +- [GitHub](https://github.com/apache/flink) (πŸ‘¨β€πŸ’» 1.8K Β· πŸ”€ 12K Β· πŸ“¦ 21 Β· ⏱️ 16.11.2023): + + ``` + git clone https://github.com/apache/flink + ``` +- [PyPi](https://pypi.org/project/apache-flink) (πŸ“₯ 82K / month): + ``` + pip install apache-flink + ``` +
Vowpal Wabbit (πŸ₯ˆ34 Β· ⭐ 8.3K) - Vowpal Wabbit is a machine learning system which pushes the.. BSD-3 -- [GitHub](https://github.com/VowpalWabbit/vowpal_wabbit) (πŸ‘¨β€πŸ’» 330 Β· πŸ”€ 1.9K Β· πŸ“‹ 1.3K - 9% open Β· ⏱️ 01.11.2023): +- [GitHub](https://github.com/VowpalWabbit/vowpal_wabbit) (πŸ‘¨β€πŸ’» 330 Β· πŸ”€ 1.9K Β· πŸ“‹ 1.3K - 10% open Β· ⏱️ 01.11.2023): ``` git clone https://github.com/VowpalWabbit/vowpal_wabbit ``` -- [PyPi](https://pypi.org/project/vowpalwabbit) (πŸ“₯ 130K / month): +- [PyPi](https://pypi.org/project/vowpalwabbit) (πŸ“₯ 120K / month): ``` pip install vowpalwabbit ``` @@ -445,56 +461,40 @@ _General-purpose machine learning and deep learning frameworks._
Ludwig (πŸ₯ˆ33 Β· ⭐ 10K) - Low-code framework for building custom LLMs, neural networks, and.. Apache-2 -- [GitHub](https://github.com/ludwig-ai/ludwig) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 1.1K Β· πŸ“¦ 210 Β· πŸ“‹ 990 - 26% open Β· ⏱️ 08.11.2023): +- [GitHub](https://github.com/ludwig-ai/ludwig) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 1.1K Β· πŸ“¦ 220 Β· πŸ“‹ 990 - 25% open Β· ⏱️ 11.11.2023): ``` git clone https://github.com/ludwig-ai/ludwig ``` -- [PyPi](https://pypi.org/project/ludwig) (πŸ“₯ 6.2K / month): +- [PyPi](https://pypi.org/project/ludwig) (πŸ“₯ 5.9K / month): ``` pip install ludwig ```
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tensorpack (πŸ₯‰32 Β· ⭐ 6.3K) - A Neural Net Training Interface on TensorFlow, with focus.. Apache-2 - -- [GitHub](https://github.com/tensorpack/tensorpack) (πŸ‘¨β€πŸ’» 58 Β· πŸ”€ 1.8K Β· πŸ“₯ 160 Β· πŸ“¦ 1.4K Β· πŸ“‹ 1.4K - 0% open Β· ⏱️ 06.08.2023): - - ``` - git clone https://github.com/tensorpack/tensorpack - ``` -- [PyPi](https://pypi.org/project/tensorpack) (πŸ“₯ 14K / month Β· πŸ“¦ 47 Β· ⏱️ 04.09.2018): - ``` - pip install tensorpack - ``` -- [Conda](https://anaconda.org/conda-forge/tensorpack) (πŸ“₯ 10K Β· ⏱️ 16.06.2023): - ``` - conda install -c conda-forge tensorpack - ``` -
Haiku (πŸ₯‰32 Β· ⭐ 2.6K) - JAX-based neural network library. Apache-2 -- [GitHub](https://github.com/google-deepmind/dm-haiku) (πŸ‘¨β€πŸ’» 79 Β· πŸ”€ 220 Β· πŸ“¦ 1.6K Β· πŸ“‹ 280 - 38% open Β· ⏱️ 03.11.2023): +- [GitHub](https://github.com/google-deepmind/dm-haiku) (πŸ‘¨β€πŸ’» 79 Β· πŸ”€ 220 Β· πŸ“¦ 1.6K Β· πŸ“‹ 240 - 29% open Β· ⏱️ 15.11.2023): ``` git clone https://github.com/deepmind/dm-haiku ``` -- [PyPi](https://pypi.org/project/dm-haiku) (πŸ“₯ 220K / month Β· πŸ“¦ 67 Β· ⏱️ 14.07.2023): +- [PyPi](https://pypi.org/project/dm-haiku) (πŸ“₯ 220K / month): ``` pip install dm-haiku ``` -- [Conda](https://anaconda.org/conda-forge/dm-haiku) (πŸ“₯ 14K Β· ⏱️ 14.07.2023): +- [Conda](https://anaconda.org/conda-forge/dm-haiku) (πŸ“₯ 14K Β· ⏱️ 10.11.2023): ``` conda install -c conda-forge dm-haiku ```
EvaDB (πŸ₯‰32 Β· ⭐ 2.4K) - Database system for AI-powered apps. Apache-2 -- [GitHub](https://github.com/georgia-tech-db/evadb) (πŸ‘¨β€πŸ’» 69 Β· πŸ”€ 210 Β· πŸ“₯ 410K Β· πŸ“¦ 110 Β· πŸ“‹ 280 - 23% open Β· ⏱️ 07.11.2023): +- [GitHub](https://github.com/georgia-tech-db/evadb) (πŸ‘¨β€πŸ’» 69 Β· πŸ”€ 210 Β· πŸ“₯ 410K Β· πŸ“¦ 110 Β· πŸ“‹ 290 - 25% open Β· ⏱️ 14.11.2023): ``` git clone https://github.com/georgia-tech-db/eva ``` -- [PyPi](https://pypi.org/project/evadb) (πŸ“₯ 10K / month): +- [PyPi](https://pypi.org/project/evadb) (πŸ“₯ 14K / month): ``` pip install evadb ``` @@ -506,7 +506,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/deepmind/sonnet ``` -- [PyPi](https://pypi.org/project/dm-sonnet) (πŸ“₯ 19K / month): +- [PyPi](https://pypi.org/project/dm-sonnet) (πŸ“₯ 20K / month): ``` pip install dm-sonnet ``` @@ -515,14 +515,30 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c conda-forge sonnet ```
+
tensorpack (πŸ₯‰31 Β· ⭐ 6.3K) - A Neural Net Training Interface on TensorFlow, with focus.. Apache-2 + +- [GitHub](https://github.com/tensorpack/tensorpack) (πŸ‘¨β€πŸ’» 58 Β· πŸ”€ 1.8K Β· πŸ“₯ 160 Β· πŸ“¦ 1.4K Β· πŸ“‹ 1.4K - 0% open Β· ⏱️ 06.08.2023): + + ``` + git clone https://github.com/tensorpack/tensorpack + ``` +- [PyPi](https://pypi.org/project/tensorpack) (πŸ“₯ 14K / month): + ``` + pip install tensorpack + ``` +- [Conda](https://anaconda.org/conda-forge/tensorpack) (πŸ“₯ 10K Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge tensorpack + ``` +
skorch (πŸ₯‰31 Β· ⭐ 5.4K) - A scikit-learn compatible neural network library that wraps.. BSD-3 -- [GitHub](https://github.com/skorch-dev/skorch) (πŸ‘¨β€πŸ’» 60 Β· πŸ”€ 360 Β· πŸ“¦ 990 Β· πŸ“‹ 500 - 10% open Β· ⏱️ 29.10.2023): +- [GitHub](https://github.com/skorch-dev/skorch) (πŸ‘¨β€πŸ’» 60 Β· πŸ”€ 360 Β· πŸ“¦ 1K Β· πŸ“‹ 500 - 10% open Β· ⏱️ 29.10.2023): ``` git clone https://github.com/skorch-dev/skorch ``` -- [PyPi](https://pypi.org/project/skorch) (πŸ“₯ 57K / month Β· πŸ“¦ 48 Β· ⏱️ 04.09.2023): +- [PyPi](https://pypi.org/project/skorch) (πŸ“₯ 54K / month): ``` pip install skorch ``` @@ -531,21 +547,37 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c conda-forge skorch ```
+
mlpack (πŸ₯‰31 Β· ⭐ 4.6K) - mlpack: a fast, header-only C++ machine learning library. BSD-3 + +- [GitHub](https://github.com/mlpack/mlpack) (πŸ‘¨β€πŸ’» 310 Β· πŸ”€ 1.5K Β· πŸ“‹ 1.6K - 1% open Β· ⏱️ 05.11.2023): + + ``` + git clone https://github.com/mlpack/mlpack + ``` +- [PyPi](https://pypi.org/project/mlpack) (πŸ“₯ 1K / month Β· πŸ“¦ 1 Β· ⏱️ 07.09.2023): + ``` + pip install mlpack + ``` +- [Conda](https://anaconda.org/conda-forge/mlpack) (πŸ“₯ 160K Β· ⏱️ 17.06.2023): + ``` + conda install -c conda-forge mlpack + ``` +
dyNET (πŸ₯‰31 Β· ⭐ 3.4K) - DyNet: The Dynamic Neural Network Toolkit. Apache-2 -- [GitHub](https://github.com/clab/dynet) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 670 Β· πŸ“₯ 13K Β· πŸ“¦ 250 Β· πŸ“‹ 930 - 28% open Β· ⏱️ 08.11.2023): +- [GitHub](https://github.com/clab/dynet) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 700 Β· πŸ“₯ 14K Β· πŸ“¦ 250 Β· πŸ“‹ 930 - 28% open Β· ⏱️ 08.11.2023): ``` git clone https://github.com/clab/dynet ``` -- [PyPi](https://pypi.org/project/dyNET) (πŸ“₯ 220K / month): +- [PyPi](https://pypi.org/project/dyNET) (πŸ“₯ 220K / month Β· πŸ“¦ 29 Β· ⏱️ 21.10.2020): ``` pip install dyNET ```
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tensorflow-upstream (πŸ₯‰31 Β· ⭐ 660) - TensorFlow ROCm port. Apache-2 +
tensorflow-upstream (πŸ₯‰31 Β· ⭐ 670) - TensorFlow ROCm port. Apache-2 -- [GitHub](https://github.com/ROCmSoftwarePlatform/tensorflow-upstream) (πŸ‘¨β€πŸ’» 4.5K Β· πŸ”€ 81 Β· πŸ“₯ 21 Β· πŸ“‹ 370 - 25% open Β· ⏱️ 07.11.2023): +- [GitHub](https://github.com/ROCmSoftwarePlatform/tensorflow-upstream) (πŸ‘¨β€πŸ’» 4.5K Β· πŸ”€ 83 Β· πŸ“₯ 21 Β· πŸ“‹ 380 - 27% open Β· ⏱️ 13.11.2023): ``` git clone https://github.com/ROCmSoftwarePlatform/tensorflow-upstream @@ -555,86 +587,86 @@ _General-purpose machine learning and deep learning frameworks._ pip install tensorflow-rocm ```
+
Determined (πŸ₯‰30 Β· ⭐ 2.5K) - Determined is an open-source machine learning platform.. Apache-2 + +- [GitHub](https://github.com/determined-ai/determined) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 320 Β· πŸ“₯ 7.7K Β· πŸ“‹ 440 - 28% open Β· ⏱️ 16.11.2023): + + ``` + git clone https://github.com/determined-ai/determined + ``` +- [PyPi](https://pypi.org/project/determined) (πŸ“₯ 19K / month Β· πŸ“¦ 4 Β· ⏱️ 15.11.2023): + ``` + pip install determined + ``` +
ktrain (πŸ₯‰30 Β· ⭐ 1.2K) - ktrain is a Python library that makes deep learning and AI more.. Apache-2 -- [GitHub](https://github.com/amaiya/ktrain) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 270 Β· πŸ“¦ 470 Β· πŸ“‹ 480 - 0% open Β· ⏱️ 05.09.2023): +- [GitHub](https://github.com/amaiya/ktrain) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 260 Β· πŸ“¦ 480 Β· πŸ“‹ 480 - 1% open Β· ⏱️ 05.09.2023): ``` git clone https://github.com/amaiya/ktrain ``` -- [PyPi](https://pypi.org/project/ktrain) (πŸ“₯ 19K / month Β· πŸ“¦ 3 Β· ⏱️ 05.09.2023): +- [PyPi](https://pypi.org/project/ktrain) (πŸ“₯ 20K / month): ``` pip install ktrain ```
Geomstats (πŸ₯‰30 Β· ⭐ 1K) - Computations and statistics on manifolds with geometric structures. MIT -- [GitHub](https://github.com/geomstats/geomstats) (πŸ‘¨β€πŸ’» 85 Β· πŸ”€ 220 Β· πŸ“¦ 84 Β· πŸ“‹ 540 - 38% open Β· ⏱️ 03.11.2023): +- [GitHub](https://github.com/geomstats/geomstats) (πŸ‘¨β€πŸ’» 85 Β· πŸ”€ 220 Β· πŸ“¦ 84 Β· πŸ“‹ 540 - 38% open Β· ⏱️ 14.11.2023): ``` git clone https://github.com/geomstats/geomstats ``` -- [PyPi](https://pypi.org/project/geomstats) (πŸ“₯ 2.2K / month Β· πŸ“¦ 3 Β· ⏱️ 30.08.2023): +- [PyPi](https://pypi.org/project/geomstats) (πŸ“₯ 2.6K / month Β· πŸ“¦ 3 Β· ⏱️ 30.08.2023): ``` pip install geomstats ``` -- [Conda](https://anaconda.org/conda-forge/geomstats) (πŸ“₯ 1.9K Β· ⏱️ 30.08.2023): +- [Conda](https://anaconda.org/conda-forge/geomstats) (πŸ“₯ 2K Β· ⏱️ 30.08.2023): ``` conda install -c conda-forge geomstats ```
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Determined (πŸ₯‰29 Β· ⭐ 2.5K) - Determined is an open-source machine learning platform.. Apache-2 +
Neural Network Libraries (πŸ₯‰27 Β· ⭐ 2.7K) - Neural Network Libraries. Apache-2 -- [GitHub](https://github.com/determined-ai/determined) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 320 Β· πŸ“₯ 7.6K Β· πŸ“‹ 350 - 11% open Β· ⏱️ 08.11.2023): +- [GitHub](https://github.com/sony/nnabla) (πŸ‘¨β€πŸ’» 73 Β· πŸ”€ 330 Β· πŸ“₯ 910 Β· πŸ“‹ 79 - 25% open Β· ⏱️ 13.11.2023): ``` - git clone https://github.com/determined-ai/determined + git clone https://github.com/sony/nnabla ``` -- [PyPi](https://pypi.org/project/determined) (πŸ“₯ 18K / month): +- [PyPi](https://pypi.org/project/nnabla) (πŸ“₯ 4.5K / month): ``` - pip install determined + pip install nnabla ```
Neural Tangents (πŸ₯‰27 Β· ⭐ 2.1K) - Fast and Easy Infinite Neural Networks in Python. Apache-2 -- [GitHub](https://github.com/google/neural-tangents) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 230 Β· πŸ“₯ 330 Β· πŸ“¦ 85 Β· πŸ“‹ 140 - 36% open Β· ⏱️ 30.09.2023): +- [GitHub](https://github.com/google/neural-tangents) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 230 Β· πŸ“₯ 330 Β· πŸ“¦ 86 Β· πŸ“‹ 140 - 37% open Β· ⏱️ 30.09.2023): ``` git clone https://github.com/google/neural-tangents ``` -- [PyPi](https://pypi.org/project/neural-tangents) (πŸ“₯ 2.2K / month): +- [PyPi](https://pypi.org/project/neural-tangents) (πŸ“₯ 2.4K / month): ``` pip install neural-tangents ```
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pyRiemann (πŸ₯‰27 Β· ⭐ 530) - Machine learning for multivariate data analysis through the.. BSD-3 +
pyRiemann (πŸ₯‰26 Β· ⭐ 530) - Machine learning for multivariate data analysis through the.. BSD-3 -- [GitHub](https://github.com/pyRiemann/pyRiemann) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 150 Β· πŸ“¦ 280 Β· πŸ“‹ 100 - 7% open Β· ⏱️ 13.10.2023): +- [GitHub](https://github.com/pyRiemann/pyRiemann) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 150 Β· πŸ“¦ 290 Β· πŸ“‹ 100 - 7% open Β· ⏱️ 13.10.2023): ``` git clone https://github.com/pyRiemann/pyRiemann ``` -- [PyPi](https://pypi.org/project/pyriemann) (πŸ“₯ 35K / month Β· πŸ“¦ 17 Β· ⏱️ 17.07.2022): +- [PyPi](https://pypi.org/project/pyriemann) (πŸ“₯ 36K / month Β· πŸ“¦ 17 Β· ⏱️ 17.07.2022): ``` pip install pyriemann ``` -- [Conda](https://anaconda.org/conda-forge/pyriemann) (πŸ“₯ 4.5K Β· ⏱️ 20.06.2023): +- [Conda](https://anaconda.org/conda-forge/pyriemann) (πŸ“₯ 4.6K Β· ⏱️ 20.06.2023): ``` conda install -c conda-forge pyriemann ```
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Neural Network Libraries (πŸ₯‰26 Β· ⭐ 2.7K Β· πŸ“‰) - Neural Network Libraries. Apache-2 - -- [GitHub](https://github.com/sony/nnabla) (πŸ‘¨β€πŸ’» 73 Β· πŸ”€ 340 Β· πŸ“₯ 910 Β· πŸ“‹ 93 - 36% open Β· ⏱️ 06.11.2023): - - ``` - git clone https://github.com/sony/nnabla - ``` -- [PyPi](https://pypi.org/project/nnabla) (πŸ“₯ 4.5K / month): - ``` - pip install nnabla - ``` -
Towhee (πŸ₯‰25 Β· ⭐ 2.8K) - Towhee is a framework that is dedicated to making neural data.. Apache-2 - [GitHub](https://github.com/towhee-io/towhee) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 240 Β· πŸ“₯ 2.6K Β· πŸ“‹ 650 - 1% open Β· ⏱️ 08.11.2023): @@ -642,23 +674,11 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/towhee-io/towhee ``` -- [PyPi](https://pypi.org/project/towhee) (πŸ“₯ 7.3K / month Β· ⏱️ 14.09.2023): +- [PyPi](https://pypi.org/project/towhee) (πŸ“₯ 4.6K / month Β· ⏱️ 14.09.2023): ``` pip install towhee ```
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Objax (πŸ₯‰24 Β· ⭐ 740) - Objax is a machine learning framework that provides an Object.. Apache-2 - -- [GitHub](https://github.com/google/objax) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 78 Β· πŸ“¦ 41 Β· πŸ“‹ 110 - 45% open Β· ⏱️ 06.11.2023): - - ``` - git clone https://github.com/google/objax - ``` -- [PyPi](https://pypi.org/project/objax) (πŸ“₯ 560 / month Β· πŸ“¦ 4 Β· ⏱️ 06.11.2023): - ``` - pip install objax - ``` -
NeuPy (πŸ₯‰24 Β· ⭐ 740 Β· πŸ’€) - NeuPy is a Tensorflow based python library for prototyping and building.. MIT - [GitHub](https://github.com/itdxer/neupy) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 160 Β· πŸ“¦ 160 Β· πŸ“‹ 270 - 12% open Β· ⏱️ 03.01.2023): @@ -666,7 +686,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/itdxer/neupy ``` -- [PyPi](https://pypi.org/project/neupy) (πŸ“₯ 2.3K / month): +- [PyPi](https://pypi.org/project/neupy) (πŸ“₯ 2.6K / month Β· πŸ“¦ 13 Β· ⏱️ 04.04.2019): ``` pip install neupy ``` @@ -678,19 +698,19 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/nubank/fklearn ``` -- [PyPi](https://pypi.org/project/fklearn) (πŸ“₯ 1.1K / month Β· ⏱️ 09.11.2023): +- [PyPi](https://pypi.org/project/fklearn) (πŸ“₯ 880 / month Β· ⏱️ 09.11.2023): ``` pip install fklearn ```
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Torchbearer (πŸ₯‰22 Β· ⭐ 630) - torchbearer: A model fitting library for PyTorch. MIT +
Torchbearer (πŸ₯‰23 Β· ⭐ 630) - torchbearer: A model fitting library for PyTorch. MIT -- [GitHub](https://github.com/pytorchbearer/torchbearer) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 68 Β· πŸ“¦ 84 Β· πŸ“‹ 250 - 4% open Β· ⏱️ 07.11.2023): +- [GitHub](https://github.com/pytorchbearer/torchbearer) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 67 Β· πŸ“¦ 84 Β· πŸ“‹ 250 - 4% open Β· ⏱️ 13.11.2023): ``` git clone https://github.com/pytorchbearer/torchbearer ``` -- [PyPi](https://pypi.org/project/torchbearer) (πŸ“₯ 250 / month Β· πŸ“¦ 4 Β· ⏱️ 31.01.2020): +- [PyPi](https://pypi.org/project/torchbearer) (πŸ“₯ 470 / month): ``` pip install torchbearer ``` @@ -702,7 +722,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/neoml-lib/neoml ``` -- [PyPi](https://pypi.org/project/neoml) (πŸ“₯ 900 / month): +- [PyPi](https://pypi.org/project/neoml) (πŸ“₯ 910 / month): ``` pip install neoml ``` @@ -714,7 +734,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/Xtra-Computing/thundersvm ``` -- [PyPi](https://pypi.org/project/thundersvm) (πŸ“₯ 350 / month): +- [PyPi](https://pypi.org/project/thundersvm) (πŸ“₯ 360 / month Β· ⏱️ 13.03.2020): ``` pip install thundersvm ``` @@ -726,40 +746,39 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/serengil/chefboost ``` -- [PyPi](https://pypi.org/project/chefboost) (πŸ“₯ 390 / month Β· ⏱️ 16.02.2022): +- [PyPi](https://pypi.org/project/chefboost) (πŸ“₯ 440 / month Β· ⏱️ 16.02.2022): ``` pip install chefboost ```
ThunderGBM (πŸ₯‰17 Β· ⭐ 680) - ThunderGBM: Fast GBDTs and Random Forests on GPUs. Apache-2 -- [GitHub](https://github.com/Xtra-Computing/thundergbm) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 82 Β· πŸ“¦ 2 Β· πŸ“‹ 78 - 46% open Β· ⏱️ 26.09.2023): +- [GitHub](https://github.com/Xtra-Computing/thundergbm) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 87 Β· πŸ“¦ 2 Β· πŸ“‹ 78 - 46% open Β· ⏱️ 26.09.2023): ``` git clone https://github.com/Xtra-Computing/thundergbm ``` -- [PyPi](https://pypi.org/project/thundergbm) (πŸ“₯ 170 / month): +- [PyPi](https://pypi.org/project/thundergbm) (πŸ“₯ 170 / month Β· ⏱️ 19.09.2022): ``` pip install thundergbm ```
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Show 16 hidden projects... +
Show 15 hidden projects... - dlib (πŸ₯ˆ40 Β· ⭐ 12K) - A toolkit for making real world machine learning and data analysis.. ❗️BSL-1.0 -- Theano (πŸ₯ˆ34 Β· ⭐ 9.8K Β· πŸ’€) - Theano was a Python library that allows you to define,.. ❗Unlicensed -- MindsDB (πŸ₯ˆ33 Β· ⭐ 19K) - MindsDB connects AI models to real time data. ❗️GPL-3.0 +- MindsDB (πŸ₯ˆ33 Β· ⭐ 19K) - MindsDB connects AI models to real time data. ❗Unlicensed - Turi Create (πŸ₯ˆ33 Β· ⭐ 11K Β· πŸ’€) - Turi Create simplifies the development of custom machine.. BSD-3 - Chainer (πŸ₯ˆ33 Β· ⭐ 5.8K Β· πŸ’€) - A flexible framework of neural networks for deep learning. MIT - TFlearn (πŸ₯‰31 Β· ⭐ 9.6K Β· πŸ’€) - Deep learning library featuring a higher-level API for.. ❗Unlicensed -- CNTK (πŸ₯‰30 Β· ⭐ 17K Β· πŸ’€) - Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit. MIT -- mlpack (πŸ₯‰30 Β· ⭐ 4.6K) - mlpack: a fast, header-only C++ machine learning library. ❗Unlicensed - Lasagne (πŸ₯‰28 Β· ⭐ 3.8K Β· πŸ’€) - Lightweight library to build and train neural networks in Theano. MIT - NuPIC (πŸ₯‰27 Β· ⭐ 6.3K) - Numenta Platform for Intelligent Computing is an implementation of.. ❗️AGPL-3.0 +- CNTK (πŸ₯‰26 Β· ⭐ 17K Β· πŸ’€) - Microsoft Cognitive Toolkit (CNTK), an open source deep-learning.. ❗Unlicensed - SHOGUN (πŸ₯‰26 Β· ⭐ 3K Β· πŸ’€) - Unified and efficient Machine Learning. BSD-3 - xLearn (πŸ₯‰25 Β· ⭐ 3.1K Β· πŸ’€) - High performance, easy-to-use, and scalable machine learning (ML).. Apache-2 - mace (πŸ₯‰22 Β· ⭐ 4.8K Β· πŸ’€) - MACE is a deep learning inference framework optimized for mobile.. Apache-2 - neon (πŸ₯‰22 Β· ⭐ 3.9K Β· πŸ’€) - Intel Nervana reference deep learning framework committed to best.. Apache-2 -- elegy (πŸ₯‰18 Β· ⭐ 450 Β· πŸ’€) - A High Level API for Deep Learning in JAX. MIT +- Objax (πŸ₯‰22 Β· ⭐ 740 Β· πŸ“‰) - Apache-2 +- elegy (πŸ₯‰18 Β· ⭐ 460 Β· πŸ’€) - A High Level API for Deep Learning in JAX. MIT - StarSpace (πŸ₯‰16 Β· ⭐ 3.9K Β· πŸ’€) - Learning embeddings for classification, retrieval and ranking. MIT

@@ -772,7 +791,7 @@ _General-purpose and task-specific data visualization libraries._
Matplotlib (πŸ₯‡51 Β· ⭐ 18K) - matplotlib: plotting with Python. Python-2.0 -- [GitHub](https://github.com/matplotlib/matplotlib) (πŸ‘¨β€πŸ’» 1.6K Β· πŸ”€ 7K Β· πŸ“¦ 990K Β· πŸ“‹ 10K - 14% open Β· ⏱️ 09.11.2023): +- [GitHub](https://github.com/matplotlib/matplotlib) (πŸ‘¨β€πŸ’» 1.6K Β· πŸ”€ 7K Β· πŸ“¦ 1M Β· πŸ“‹ 10K - 14% open Β· ⏱️ 16.11.2023): ``` git clone https://github.com/matplotlib/matplotlib @@ -788,20 +807,20 @@ _General-purpose and task-specific data visualization libraries._
Plotly (πŸ₯‡44 Β· ⭐ 14K) - The interactive graphing library for Python This project now includes.. MIT -- [GitHub](https://github.com/plotly/plotly.py) (πŸ‘¨β€πŸ’» 250 Β· πŸ”€ 2.4K Β· πŸ“¦ 210K Β· πŸ“‹ 2.7K - 50% open Β· ⏱️ 06.11.2023): +- [GitHub](https://github.com/plotly/plotly.py) (πŸ‘¨β€πŸ’» 250 Β· πŸ”€ 2.4K Β· πŸ“¦ 220K Β· πŸ“‹ 2.7K - 50% open Β· ⏱️ 15.11.2023): ``` git clone https://github.com/plotly/plotly.py ``` -- [PyPi](https://pypi.org/project/plotly) (πŸ“₯ 11M / month Β· πŸ“¦ 5.3K Β· ⏱️ 25.10.2023): +- [PyPi](https://pypi.org/project/plotly) (πŸ“₯ 11M / month): ``` pip install plotly ``` -- [Conda](https://anaconda.org/conda-forge/plotly) (πŸ“₯ 5M Β· ⏱️ 25.10.2023): +- [Conda](https://anaconda.org/conda-forge/plotly) (πŸ“₯ 5.1M Β· ⏱️ 25.10.2023): ``` conda install -c conda-forge plotly ``` -- [npm](https://www.npmjs.com/package/plotlywidget) (πŸ“₯ 44K / month Β· πŸ“¦ 6 Β· ⏱️ 12.01.2021): +- [npm](https://www.npmjs.com/package/plotlywidget) (πŸ“₯ 46K / month): ``` npm install plotlywidget ``` @@ -813,23 +832,23 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/bokeh/bokeh ``` -- [PyPi](https://pypi.org/project/bokeh) (πŸ“₯ 3.5M / month): +- [PyPi](https://pypi.org/project/bokeh) (πŸ“₯ 3.6M / month): ``` pip install bokeh ``` -- [Conda](https://anaconda.org/conda-forge/bokeh) (πŸ“₯ 13M Β· ⏱️ 11.10.2023): +- [Conda](https://anaconda.org/conda-forge/bokeh) (πŸ“₯ 13M Β· ⏱️ 09.11.2023): ``` conda install -c conda-forge bokeh ```
Seaborn (πŸ₯‡43 Β· ⭐ 11K) - Statistical data visualization in Python. BSD-3 -- [GitHub](https://github.com/mwaskom/seaborn) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 1.8K Β· πŸ“₯ 290 Β· πŸ“¦ 320K Β· πŸ“‹ 2.4K - 4% open Β· ⏱️ 07.11.2023): +- [GitHub](https://github.com/mwaskom/seaborn) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 1.8K Β· πŸ“₯ 300 Β· πŸ“¦ 320K Β· πŸ“‹ 2.4K - 4% open Β· ⏱️ 07.11.2023): ``` git clone https://github.com/mwaskom/seaborn ``` -- [PyPi](https://pypi.org/project/seaborn) (πŸ“₯ 13M / month Β· πŸ“¦ 11K Β· ⏱️ 29.09.2023): +- [PyPi](https://pypi.org/project/seaborn) (πŸ“₯ 12M / month Β· πŸ“¦ 11K Β· ⏱️ 29.09.2023): ``` pip install seaborn ``` @@ -840,7 +859,7 @@ _General-purpose and task-specific data visualization libraries._
Altair (πŸ₯‡42 Β· ⭐ 8.5K) - Declarative statistical visualization library for Python. BSD-3 -- [GitHub](https://github.com/altair-viz/altair) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 760 Β· πŸ“₯ 89 Β· πŸ“¦ 85K Β· πŸ“‹ 1.9K - 9% open Β· ⏱️ 08.11.2023): +- [GitHub](https://github.com/altair-viz/altair) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 760 Β· πŸ“₯ 89 Β· πŸ“¦ 87K Β· πŸ“‹ 1.9K - 9% open Β· ⏱️ 14.11.2023): ``` git clone https://github.com/altair-viz/altair @@ -865,42 +884,42 @@ _General-purpose and task-specific data visualization libraries._ ``` pip install dash ``` -- [Conda](https://anaconda.org/conda-forge/dash) (πŸ“₯ 1.1M Β· ⏱️ 27.10.2023): +- [Conda](https://anaconda.org/conda-forge/dash) (πŸ“₯ 1.2M Β· ⏱️ 27.10.2023): ``` conda install -c conda-forge dash ```
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pandas-profiling (πŸ₯ˆ37 Β· ⭐ 11K) - 1 Line of code data quality profiling & exploratory.. MIT +
pyecharts (πŸ₯ˆ37 Β· ⭐ 14K) - Python Echarts Plotting Library. MIT -- [GitHub](https://github.com/ydataai/ydata-profiling) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 1.6K Β· πŸ“¦ 1.7K Β· πŸ“‹ 740 - 25% open Β· ⏱️ 02.11.2023): +- [GitHub](https://github.com/pyecharts/pyecharts) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 2.8K Β· πŸ“¦ 3.6K Β· πŸ“‹ 1.8K - 0% open Β· ⏱️ 21.08.2023): ``` - git clone https://github.com/ydataai/pandas-profiling - ``` -- [PyPi](https://pypi.org/project/pandas-profiling) (πŸ“₯ 730K / month Β· πŸ“¦ 190 Β· ⏱️ 03.02.2023): - ``` - pip install pandas-profiling + git clone https://github.com/pyecharts/pyecharts ``` -- [Conda](https://anaconda.org/conda-forge/pandas-profiling) (πŸ“₯ 410K Β· ⏱️ 16.06.2023): +- [PyPi](https://pypi.org/project/pyecharts) (πŸ“₯ 160K / month Β· πŸ“¦ 250 Β· ⏱️ 21.08.2023): ``` - conda install -c conda-forge pandas-profiling + pip install pyecharts ```
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pyecharts (πŸ₯ˆ36 Β· ⭐ 14K) - Python Echarts Plotting Library. MIT +
pandas-profiling (πŸ₯ˆ37 Β· ⭐ 11K) - 1 Line of code data quality profiling & exploratory.. MIT -- [GitHub](https://github.com/pyecharts/pyecharts) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 2.8K Β· πŸ“¦ 3.6K Β· πŸ“‹ 1.8K - 0% open Β· ⏱️ 21.08.2023): +- [GitHub](https://github.com/ydataai/ydata-profiling) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 1.6K Β· πŸ“¦ 1.8K Β· πŸ“‹ 740 - 26% open Β· ⏱️ 02.11.2023): ``` - git clone https://github.com/pyecharts/pyecharts + git clone https://github.com/ydataai/pandas-profiling ``` -- [PyPi](https://pypi.org/project/pyecharts) (πŸ“₯ 150K / month Β· πŸ“¦ 250 Β· ⏱️ 21.08.2023): +- [PyPi](https://pypi.org/project/pandas-profiling) (πŸ“₯ 710K / month Β· πŸ“¦ 190 Β· ⏱️ 03.02.2023): ``` - pip install pyecharts + pip install pandas-profiling + ``` +- [Conda](https://anaconda.org/conda-forge/pandas-profiling) (πŸ“₯ 410K Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge pandas-profiling ```
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PyQtGraph (πŸ₯ˆ36 Β· ⭐ 3.5K Β· πŸ“ˆ) - Fast data visualization and GUI tools for scientific / engineering.. MIT +
PyQtGraph (πŸ₯ˆ36 Β· ⭐ 3.5K) - Fast data visualization and GUI tools for scientific / engineering.. MIT -- [GitHub](https://github.com/pyqtgraph/pyqtgraph) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 1K Β· πŸ“¦ 8.2K Β· πŸ“‹ 1.2K - 29% open Β· ⏱️ 03.11.2023): +- [GitHub](https://github.com/pyqtgraph/pyqtgraph) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 1K Β· πŸ“¦ 8.2K Β· πŸ“‹ 1.2K - 29% open Β· ⏱️ 14.11.2023): ``` git clone https://github.com/pyqtgraph/pyqtgraph @@ -921,7 +940,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/vispy/vispy ``` -- [PyPi](https://pypi.org/project/vispy) (πŸ“₯ 120K / month Β· πŸ“¦ 130 Β· ⏱️ 03.10.2023): +- [PyPi](https://pypi.org/project/vispy) (πŸ“₯ 150K / month Β· πŸ“¦ 130 Β· ⏱️ 03.10.2023): ``` pip install vispy ``` @@ -929,11 +948,27 @@ _General-purpose and task-specific data visualization libraries._ ``` conda install -c conda-forge vispy ``` -- [npm](https://www.npmjs.com/package/vispy) (πŸ“₯ 24 / month Β· πŸ“¦ 1 Β· ⏱️ 15.03.2020): +- [npm](https://www.npmjs.com/package/vispy) (πŸ“₯ 20 / month Β· πŸ“¦ 1 Β· ⏱️ 15.03.2020): ``` npm install vispy ```
+
PyVista (πŸ₯ˆ36 Β· ⭐ 2K) - 3D plotting and mesh analysis through a streamlined interface for the.. MIT + +- [GitHub](https://github.com/pyvista/pyvista) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 380 Β· πŸ“₯ 780 Β· πŸ“¦ 2.4K Β· πŸ“‹ 1.4K - 28% open Β· ⏱️ 16.11.2023): + + ``` + git clone https://github.com/pyvista/pyvista + ``` +- [PyPi](https://pypi.org/project/pyvista) (πŸ“₯ 250K / month Β· πŸ“¦ 220 Β· ⏱️ 07.10.2023): + ``` + pip install pyvista + ``` +- [Conda](https://anaconda.org/conda-forge/pyvista) (πŸ“₯ 420K Β· ⏱️ 07.10.2023): + ``` + conda install -c conda-forge pyvista + ``` +
Graphviz (πŸ₯ˆ36 Β· ⭐ 1.5K) - Simple Python interface for Graphviz. MIT - [GitHub](https://github.com/xflr6/graphviz) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 200 Β· πŸ“¦ 56K Β· πŸ“‹ 170 - 5% open Β· ⏱️ 26.10.2023): @@ -941,7 +976,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/xflr6/graphviz ``` -- [PyPi](https://pypi.org/project/graphviz) (πŸ“₯ 7.8M / month Β· πŸ“¦ 3.4K Β· ⏱️ 23.07.2022): +- [PyPi](https://pypi.org/project/graphviz) (πŸ“₯ 7.9M / month Β· πŸ“¦ 3.4K Β· ⏱️ 23.07.2022): ``` pip install graphviz ``` @@ -952,12 +987,12 @@ _General-purpose and task-specific data visualization libraries._
HoloViews (πŸ₯ˆ35 Β· ⭐ 2.5K) - With Holoviews, your data visualizes itself. BSD-3 -- [GitHub](https://github.com/holoviz/holoviews) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 380 Β· πŸ“‹ 3.1K - 32% open Β· ⏱️ 08.11.2023): +- [GitHub](https://github.com/holoviz/holoviews) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 380 Β· πŸ“‹ 3.1K - 32% open Β· ⏱️ 16.11.2023): ``` git clone https://github.com/holoviz/holoviews ``` -- [PyPi](https://pypi.org/project/holoviews) (πŸ“₯ 360K / month Β· πŸ“¦ 260 Β· ⏱️ 08.11.2023): +- [PyPi](https://pypi.org/project/holoviews) (πŸ“₯ 380K / month Β· πŸ“¦ 260 Β· ⏱️ 08.11.2023): ``` pip install holoviews ``` @@ -965,35 +1000,19 @@ _General-purpose and task-specific data visualization libraries._ ``` conda install -c conda-forge holoviews ``` -- [npm](https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz) (πŸ“₯ 760 / month Β· πŸ“¦ 2 Β· ⏱️ 16.08.2023): +- [npm](https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz) (πŸ“₯ 810 / month Β· πŸ“¦ 2 Β· ⏱️ 16.08.2023): ``` npm install @pyviz/jupyterlab_pyviz ```
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PyVista (πŸ₯ˆ35 Β· ⭐ 2K) - 3D plotting and mesh analysis through a streamlined interface for the.. MIT - -- [GitHub](https://github.com/pyvista/pyvista) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 380 Β· πŸ“₯ 780 Β· πŸ“¦ 2.3K Β· πŸ“‹ 1.4K - 28% open Β· ⏱️ 09.11.2023): - - ``` - git clone https://github.com/pyvista/pyvista - ``` -- [PyPi](https://pypi.org/project/pyvista) (πŸ“₯ 220K / month Β· πŸ“¦ 220 Β· ⏱️ 07.10.2023): - ``` - pip install pyvista - ``` -- [Conda](https://anaconda.org/conda-forge/pyvista) (πŸ“₯ 420K Β· ⏱️ 07.10.2023): - ``` - conda install -c conda-forge pyvista - ``` -
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UMAP (πŸ₯ˆ34 Β· ⭐ 6.5K Β· πŸ“ˆ) - Uniform Manifold Approximation and Projection. BSD-3 +
UMAP (πŸ₯ˆ34 Β· ⭐ 6.6K) - Uniform Manifold Approximation and Projection. BSD-3 -- [GitHub](https://github.com/lmcinnes/umap) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 750 Β· πŸ“¦ 1 Β· πŸ“‹ 760 - 56% open Β· ⏱️ 17.10.2023): +- [GitHub](https://github.com/lmcinnes/umap) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 750 Β· πŸ“¦ 1 Β· πŸ“‹ 760 - 56% open Β· ⏱️ 14.11.2023): ``` git clone https://github.com/lmcinnes/umap ``` -- [PyPi](https://pypi.org/project/umap-learn) (πŸ“₯ 950K / month Β· πŸ“¦ 500 Β· ⏱️ 15.09.2023): +- [PyPi](https://pypi.org/project/umap-learn) (πŸ“₯ 900K / month Β· πŸ“¦ 510 Β· ⏱️ 15.09.2023): ``` pip install umap-learn ``` @@ -1004,12 +1023,12 @@ _General-purpose and task-specific data visualization libraries._
plotnine (πŸ₯ˆ34 Β· ⭐ 3.6K) - A Grammar of Graphics for Python. MIT -- [GitHub](https://github.com/has2k1/plotnine) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 200 Β· πŸ“¦ 6.1K Β· πŸ“‹ 590 - 13% open Β· ⏱️ 08.08.2023): +- [GitHub](https://github.com/has2k1/plotnine) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 200 Β· πŸ“¦ 6.2K Β· πŸ“‹ 590 - 13% open Β· ⏱️ 08.08.2023): ``` git clone https://github.com/has2k1/plotnine ``` -- [PyPi](https://pypi.org/project/plotnine) (πŸ“₯ 1.6M / month Β· πŸ“¦ 260 Β· ⏱️ 06.11.2023): +- [PyPi](https://pypi.org/project/plotnine) (πŸ“₯ 1.7M / month Β· πŸ“¦ 260 Β· ⏱️ 06.11.2023): ``` pip install plotnine ``` @@ -1020,7 +1039,7 @@ _General-purpose and task-specific data visualization libraries._
FiftyOne (πŸ₯ˆ33 Β· ⭐ 5.4K) - Visualize, create, and debug image and video datasets.. Apache-2 -- [GitHub](https://github.com/voxel51/fiftyone) (πŸ‘¨β€πŸ’» 96 Β· πŸ”€ 430 Β· πŸ“¦ 420 Β· πŸ“‹ 1.5K - 34% open Β· ⏱️ 08.11.2023): +- [GitHub](https://github.com/voxel51/fiftyone) (πŸ‘¨β€πŸ’» 96 Β· πŸ”€ 430 Β· πŸ“¦ 430 Β· πŸ“‹ 1.5K - 34% open Β· ⏱️ 16.11.2023): ``` git clone https://github.com/voxel51/fiftyone @@ -1032,12 +1051,12 @@ _General-purpose and task-specific data visualization libraries._
datashader (πŸ₯ˆ33 Β· ⭐ 3.1K) - Quickly and accurately render even the largest data. BSD-3 -- [GitHub](https://github.com/holoviz/datashader) (πŸ‘¨β€πŸ’» 54 Β· πŸ”€ 360 Β· πŸ“¦ 3.1K Β· πŸ“‹ 570 - 22% open Β· ⏱️ 27.10.2023): +- [GitHub](https://github.com/holoviz/datashader) (πŸ‘¨β€πŸ’» 54 Β· πŸ”€ 360 Β· πŸ“¦ 3.2K Β· πŸ“‹ 570 - 22% open Β· ⏱️ 27.10.2023): ``` git clone https://github.com/holoviz/datashader ``` -- [PyPi](https://pypi.org/project/datashader) (πŸ“₯ 300K / month Β· πŸ“¦ 120 Β· ⏱️ 31.10.2023): +- [PyPi](https://pypi.org/project/datashader) (πŸ“₯ 290K / month Β· πŸ“¦ 120 Β· ⏱️ 31.10.2023): ``` pip install datashader ``` @@ -1062,14 +1081,30 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge wordcloud ```
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hvPlot (πŸ₯ˆ32 Β· ⭐ 820) - A high-level plotting API for pandas, dask, xarray, and networkx built on.. BSD-3 + +- [GitHub](https://github.com/holoviz/hvplot) (πŸ‘¨β€πŸ’» 44 Β· πŸ”€ 88 Β· πŸ“¦ 3.9K Β· πŸ“‹ 680 - 42% open Β· ⏱️ 14.11.2023): + + ``` + git clone https://github.com/holoviz/hvplot + ``` +- [PyPi](https://pypi.org/project/hvplot) (πŸ“₯ 120K / month Β· πŸ“¦ 93 Β· ⏱️ 16.10.2023): + ``` + pip install hvplot + ``` +- [Conda](https://anaconda.org/conda-forge/hvplot) (πŸ“₯ 500K Β· ⏱️ 16.10.2023): + ``` + conda install -c conda-forge hvplot + ``` +
Perspective (πŸ₯ˆ31 Β· ⭐ 6.9K) - A data visualization and analytics component, especially.. Apache-2 -- [GitHub](https://github.com/finos/perspective) (πŸ‘¨β€πŸ’» 93 Β· πŸ”€ 850 Β· πŸ“₯ 1.5K Β· πŸ“¦ 100 Β· πŸ“‹ 680 - 14% open Β· ⏱️ 09.11.2023): +- [GitHub](https://github.com/finos/perspective) (πŸ‘¨β€πŸ’» 93 Β· πŸ”€ 860 Β· πŸ“₯ 1.6K Β· πŸ“¦ 100 Β· πŸ“‹ 680 - 14% open Β· ⏱️ 14.11.2023): ``` git clone https://github.com/finos/perspective ``` -- [PyPi](https://pypi.org/project/perspective-python) (πŸ“₯ 8.1K / month Β· πŸ“¦ 13 Β· ⏱️ 01.11.2023): +- [PyPi](https://pypi.org/project/perspective-python) (πŸ“₯ 7.8K / month Β· πŸ“¦ 13 Β· ⏱️ 01.11.2023): ``` pip install perspective-python ``` @@ -1077,19 +1112,19 @@ _General-purpose and task-specific data visualization libraries._ ``` conda install -c conda-forge perspective ``` -- [npm](https://www.npmjs.com/package/@finos/perspective-jupyterlab) (πŸ“₯ 780 / month Β· πŸ“¦ 3 Β· ⏱️ 01.11.2023): +- [npm](https://www.npmjs.com/package/@finos/perspective-jupyterlab) (πŸ“₯ 880 / month Β· πŸ“¦ 3 Β· ⏱️ 01.11.2023): ``` npm install @finos/perspective-jupyterlab ```
D-Tale (πŸ₯ˆ31 Β· ⭐ 4.3K) - Visualizer for pandas data structures. ❗️LGPL-2.1 -- [GitHub](https://github.com/man-group/dtale) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 360 Β· πŸ“¦ 920 Β· πŸ“‹ 550 - 10% open Β· ⏱️ 23.10.2023): +- [GitHub](https://github.com/man-group/dtale) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 360 Β· πŸ“¦ 930 Β· πŸ“‹ 550 - 10% open Β· ⏱️ 23.10.2023): ``` git clone https://github.com/man-group/dtale ``` -- [PyPi](https://pypi.org/project/dtale) (πŸ“₯ 100K / month Β· πŸ“¦ 21 Β· ⏱️ 02.10.2023): +- [PyPi](https://pypi.org/project/dtale) (πŸ“₯ 120K / month Β· πŸ“¦ 21 Β· ⏱️ 02.10.2023): ``` pip install dtale ``` @@ -1098,37 +1133,21 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge dtale ```
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hvPlot (πŸ₯ˆ31 Β· ⭐ 820) - A high-level plotting API for pandas, dask, xarray, and networkx built on.. BSD-3 - -- [GitHub](https://github.com/holoviz/hvplot) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 88 Β· πŸ“¦ 3.9K Β· πŸ“‹ 680 - 42% open Β· ⏱️ 16.10.2023): - - ``` - git clone https://github.com/holoviz/hvplot - ``` -- [PyPi](https://pypi.org/project/hvplot) (πŸ“₯ 120K / month Β· πŸ“¦ 93 Β· ⏱️ 16.10.2023): - ``` - pip install hvplot - ``` -- [Conda](https://anaconda.org/conda-forge/hvplot) (πŸ“₯ 500K Β· ⏱️ 16.10.2023): - ``` - conda install -c conda-forge hvplot - ``` -
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lets-plot (πŸ₯‰30 Β· ⭐ 1.2K) - Multiplatform plotting library based on Grammar of Graphics. MIT +
lets-plot (πŸ₯‰30 Β· ⭐ 1.3K) - Multiplatform plotting library based on Grammar of Graphics. MIT -- [GitHub](https://github.com/JetBrains/lets-plot) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 48 Β· πŸ“₯ 550 Β· πŸ“¦ 49 Β· πŸ“‹ 450 - 24% open Β· ⏱️ 09.11.2023): +- [GitHub](https://github.com/JetBrains/lets-plot) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 48 Β· πŸ“₯ 550 Β· πŸ“¦ 49 Β· πŸ“‹ 450 - 24% open Β· ⏱️ 16.11.2023): ``` git clone https://github.com/JetBrains/lets-plot ``` -- [PyPi](https://pypi.org/project/lets-plot) (πŸ“₯ 27K / month Β· πŸ“¦ 2 Β· ⏱️ 03.11.2023): +- [PyPi](https://pypi.org/project/lets-plot) (πŸ“₯ 30K / month Β· πŸ“¦ 2 Β· ⏱️ 03.11.2023): ``` pip install lets-plot ```
bqplot (πŸ₯‰29 Β· ⭐ 3.5K) - Plotting library for IPython/Jupyter notebooks. Apache-2 -- [GitHub](https://github.com/bqplot/bqplot) (πŸ‘¨β€πŸ’» 64 Β· πŸ”€ 480 Β· πŸ“¦ 50 Β· πŸ“‹ 620 - 40% open Β· ⏱️ 04.10.2023): +- [GitHub](https://github.com/bqplot/bqplot) (πŸ‘¨β€πŸ’» 64 Β· πŸ”€ 480 Β· πŸ“¦ 51 Β· πŸ“‹ 620 - 40% open Β· ⏱️ 04.10.2023): ``` git clone https://github.com/bqplot/bqplot @@ -1141,19 +1160,19 @@ _General-purpose and task-specific data visualization libraries._ ``` conda install -c conda-forge bqplot ``` -- [npm](https://www.npmjs.com/package/bqplot) (πŸ“₯ 4.3K / month Β· πŸ“¦ 16 Β· ⏱️ 17.10.2023): +- [npm](https://www.npmjs.com/package/bqplot) (πŸ“₯ 4.2K / month Β· πŸ“¦ 16 Β· ⏱️ 17.10.2023): ``` npm install bqplot ```
Sweetviz (πŸ₯‰29 Β· ⭐ 2.7K) - Visualize and compare datasets, target values and associations, with one.. MIT -- [GitHub](https://github.com/fbdesignpro/sweetviz) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 260 Β· πŸ“¦ 1.8K Β· πŸ“‹ 130 - 33% open Β· ⏱️ 26.09.2023): +- [GitHub](https://github.com/fbdesignpro/sweetviz) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 260 Β· πŸ“¦ 1.8K Β· πŸ“‹ 130 - 26% open Β· ⏱️ 16.11.2023): ``` git clone https://github.com/fbdesignpro/sweetviz ``` -- [PyPi](https://pypi.org/project/sweetviz) (πŸ“₯ 69K / month Β· πŸ“¦ 12 Β· ⏱️ 26.08.2023): +- [PyPi](https://pypi.org/project/sweetviz) (πŸ“₯ 68K / month Β· πŸ“¦ 14 Β· ⏱️ 16.11.2023): ``` pip install sweetviz ``` @@ -1169,7 +1188,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/mpld3/mpld3 ``` -- [PyPi](https://pypi.org/project/mpld3) (πŸ“₯ 310K / month Β· πŸ“¦ 410 Β· ⏱️ 10.12.2022): +- [PyPi](https://pypi.org/project/mpld3) (πŸ“₯ 340K / month Β· πŸ“¦ 410 Β· ⏱️ 10.12.2022): ``` pip install mpld3 ``` @@ -1177,19 +1196,19 @@ _General-purpose and task-specific data visualization libraries._ ``` conda install -c conda-forge mpld3 ``` -- [npm](https://www.npmjs.com/package/mpld3) (πŸ“₯ 360 / month Β· πŸ“¦ 8 Β· ⏱️ 10.12.2022): +- [npm](https://www.npmjs.com/package/mpld3) (πŸ“₯ 380 / month Β· πŸ“¦ 8 Β· ⏱️ 10.12.2022): ``` npm install mpld3 ```
data-validation (πŸ₯‰29 Β· ⭐ 740) - Library for exploring and validating machine learning.. Apache-2 -- [GitHub](https://github.com/tensorflow/data-validation) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 150 Β· πŸ“₯ 470 Β· πŸ“¦ 760 Β· πŸ“‹ 180 - 20% open Β· ⏱️ 08.11.2023): +- [GitHub](https://github.com/tensorflow/data-validation) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 150 Β· πŸ“₯ 560 Β· πŸ“¦ 760 Β· πŸ“‹ 180 - 20% open Β· ⏱️ 13.11.2023): ``` git clone https://github.com/tensorflow/data-validation ``` -- [PyPi](https://pypi.org/project/tensorflow-data-validation) (πŸ“₯ 300K / month Β· πŸ“¦ 30 Β· ⏱️ 14.08.2023): +- [PyPi](https://pypi.org/project/tensorflow-data-validation) (πŸ“₯ 260K / month Β· πŸ“¦ 30 Β· ⏱️ 14.08.2023): ``` pip install tensorflow-data-validation ``` @@ -1201,7 +1220,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/pair-code/facets ``` -- [PyPi](https://pypi.org/project/facets-overview) (πŸ“₯ 210K / month Β· πŸ“¦ 8 Β· ⏱️ 24.05.2023): +- [PyPi](https://pypi.org/project/facets-overview) (πŸ“₯ 230K / month Β· πŸ“¦ 8 Β· ⏱️ 24.05.2023): ``` pip install facets-overview ``` @@ -1222,34 +1241,34 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge missingno ```
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pythreejs (πŸ₯‰27 Β· ⭐ 900 Β· πŸ’€) - A Jupyter - Three.js bridge. BSD-3 +
pythreejs (πŸ₯‰27 Β· ⭐ 910 Β· πŸ’€) - A Jupyter - Three.js bridge. BSD-3 - [GitHub](https://github.com/jupyter-widgets/pythreejs) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 180 Β· πŸ“¦ 28 Β· πŸ“‹ 240 - 25% open Β· ⏱️ 20.02.2023): ``` git clone https://github.com/jupyter-widgets/pythreejs ``` -- [PyPi](https://pypi.org/project/pythreejs) (πŸ“₯ 63K / month Β· πŸ“¦ 56 Β· ⏱️ 20.02.2023): +- [PyPi](https://pypi.org/project/pythreejs) (πŸ“₯ 64K / month Β· πŸ“¦ 56 Β· ⏱️ 20.02.2023): ``` pip install pythreejs ``` -- [Conda](https://anaconda.org/conda-forge/pythreejs) (πŸ“₯ 510K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/pythreejs) (πŸ“₯ 520K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge pythreejs ``` -- [npm](https://www.npmjs.com/package/jupyter-threejs) (πŸ“₯ 3.6K / month Β· πŸ“¦ 11 Β· ⏱️ 20.02.2023): +- [npm](https://www.npmjs.com/package/jupyter-threejs) (πŸ“₯ 3.8K / month Β· πŸ“¦ 11 Β· ⏱️ 20.02.2023): ``` npm install jupyter-threejs ```
AutoViz (πŸ₯‰26 Β· ⭐ 1.5K) - Automatically Visualize any dataset, any size with a single line of.. Apache-2 -- [GitHub](https://github.com/AutoViML/AutoViz) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 180 Β· πŸ“¦ 570 Β· πŸ“‹ 82 - 3% open Β· ⏱️ 05.11.2023): +- [GitHub](https://github.com/AutoViML/AutoViz) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 180 Β· πŸ“¦ 570 Β· πŸ“‹ 83 - 3% open Β· ⏱️ 05.11.2023): ``` git clone https://github.com/AutoViML/AutoViz ``` -- [PyPi](https://pypi.org/project/autoviz) (πŸ“₯ 550K / month): +- [PyPi](https://pypi.org/project/autoviz) (πŸ“₯ 490K / month): ``` pip install autoviz ``` @@ -1265,7 +1284,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/spotify/chartify ``` -- [PyPi](https://pypi.org/project/chartify) (πŸ“₯ 3.5K / month Β· πŸ“¦ 10 Β· ⏱️ 12.10.2023): +- [PyPi](https://pypi.org/project/chartify) (πŸ“₯ 3.4K / month Β· πŸ“¦ 10 Β· ⏱️ 12.10.2023): ``` pip install chartify ``` @@ -1297,7 +1316,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/DmitryUlyanov/Multicore-TSNE ``` -- [PyPi](https://pypi.org/project/MulticoreTSNE) (πŸ“₯ 26K / month Β· πŸ“¦ 22 Β· ⏱️ 09.01.2019): +- [PyPi](https://pypi.org/project/MulticoreTSNE) (πŸ“₯ 23K / month Β· πŸ“¦ 22 Β· ⏱️ 09.01.2019): ``` pip install MulticoreTSNE ``` @@ -1308,12 +1327,12 @@ _General-purpose and task-specific data visualization libraries._
Plotly-Resampler (πŸ₯‰25 Β· ⭐ 840) - Visualize large time series data with plotly.py. MIT -- [GitHub](https://github.com/predict-idlab/plotly-resampler) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 56 Β· πŸ“¦ 670 Β· πŸ“‹ 140 - 29% open Β· ⏱️ 08.11.2023): +- [GitHub](https://github.com/predict-idlab/plotly-resampler) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 54 Β· πŸ“¦ 690 Β· πŸ“‹ 140 - 27% open Β· ⏱️ 08.11.2023): ``` git clone https://github.com/predict-idlab/plotly-resampler ``` -- [PyPi](https://pypi.org/project/plotly-resampler) (πŸ“₯ 340K / month Β· πŸ“¦ 10 Β· ⏱️ 08.11.2023): +- [PyPi](https://pypi.org/project/plotly-resampler) (πŸ“₯ 350K / month): ``` pip install plotly-resampler ``` @@ -1324,7 +1343,7 @@ _General-purpose and task-specific data visualization libraries._
openTSNE (πŸ₯‰24 Β· ⭐ 1.3K) - Extensible, parallel implementations of t-SNE. BSD-3 -- [GitHub](https://github.com/pavlin-policar/openTSNE) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 150 Β· πŸ“¦ 680 Β· πŸ“‹ 130 - 1% open Β· ⏱️ 21.08.2023): +- [GitHub](https://github.com/pavlin-policar/openTSNE) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 150 Β· πŸ“¦ 690 Β· πŸ“‹ 130 - 1% open Β· ⏱️ 21.08.2023): ``` git clone https://github.com/pavlin-policar/openTSNE @@ -1345,7 +1364,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/vega/ipyvega ``` -- [PyPi](https://pypi.org/project/vega) (πŸ“₯ 19K / month Β· πŸ“¦ 83 Β· ⏱️ 10.02.2022): +- [PyPi](https://pypi.org/project/vega) (πŸ“₯ 16K / month Β· πŸ“¦ 83 Β· ⏱️ 10.02.2022): ``` pip install vega ``` @@ -1356,7 +1375,7 @@ _General-purpose and task-specific data visualization libraries._
Pandas-Bokeh (πŸ₯‰23 Β· ⭐ 870 Β· πŸ’€) - Bokeh Plotting Backend for Pandas and GeoPandas. MIT -- [GitHub](https://github.com/PatrikHlobil/Pandas-Bokeh) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 110 Β· πŸ“¦ 540 Β· πŸ“‹ 100 - 33% open Β· ⏱️ 06.03.2023): +- [GitHub](https://github.com/PatrikHlobil/Pandas-Bokeh) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 100 Β· πŸ“¦ 540 Β· πŸ“‹ 100 - 33% open Β· ⏱️ 06.03.2023): ``` git clone https://github.com/PatrikHlobil/Pandas-Bokeh @@ -1377,7 +1396,7 @@ _General-purpose and task-specific data visualization libraries._ ``` pip install python-ternary ``` -- [Conda](https://anaconda.org/conda-forge/python-ternary) (πŸ“₯ 78K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/python-ternary) (πŸ“₯ 79K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge python-ternary ``` @@ -1405,19 +1424,19 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/ing-bank/popmon ``` -- [PyPi](https://pypi.org/project/popmon) (πŸ“₯ 6.3K / month Β· πŸ“¦ 2 Β· ⏱️ 18.07.2023): +- [PyPi](https://pypi.org/project/popmon) (πŸ“₯ 7K / month Β· πŸ“¦ 2 Β· ⏱️ 18.07.2023): ``` pip install popmon ```
ivis (πŸ₯‰20 Β· ⭐ 300) - Dimensionality reduction in very large datasets using Siamese.. Apache-2 -- [GitHub](https://github.com/beringresearch/ivis) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 41 Β· πŸ“¦ 31 Β· πŸ“‹ 59 - 5% open Β· ⏱️ 07.11.2023): +- [GitHub](https://github.com/beringresearch/ivis) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 41 Β· πŸ“¦ 31 Β· πŸ“‹ 59 - 5% open Β· ⏱️ 09.11.2023): ``` git clone https://github.com/beringresearch/ivis ``` -- [PyPi](https://pypi.org/project/ivis) (πŸ“₯ 200 / month Β· πŸ“¦ 2 Β· ⏱️ 10.03.2022): +- [PyPi](https://pypi.org/project/ivis) (πŸ“₯ 210 / month Β· πŸ“¦ 2 Β· ⏱️ 10.03.2022): ``` pip install ivis ``` @@ -1428,7 +1447,7 @@ _General-purpose and task-specific data visualization libraries._ - Cufflinks (πŸ₯‰29 Β· ⭐ 2.9K Β· πŸ’€) - Productivity Tools for Plotly + Pandas. MIT - HyperTools (πŸ₯‰25 Β· ⭐ 1.8K Β· πŸ’€) - A Python toolbox for gaining geometric insights into high-.. MIT - PandasGUI (πŸ₯‰24 Β· ⭐ 3.1K Β· πŸ’€) - A GUI for Pandas DataFrames. ❗️MIT-0 -- pivottablejs (πŸ₯‰23 Β· ⭐ 600 Β· πŸ’€) - Dragndrop Pivot Tables and Charts for Jupyter/IPython.. MIT +- pivottablejs (πŸ₯‰23 Β· ⭐ 610 Β· πŸ’€) - Dragndrop Pivot Tables and Charts for Jupyter/IPython.. MIT - joypy (πŸ₯‰21 Β· ⭐ 500 Β· πŸ’€) - Joyplots in Python with matplotlib & pandas. MIT - PyWaffle (πŸ₯‰20 Β· ⭐ 560 Β· πŸ’€) - Make Waffle Charts in Python. MIT - vegafusion (πŸ₯‰20 Β· ⭐ 280) - Serverside scaling for Vega and Altair visualizations. BSD-3 @@ -1446,30 +1465,30 @@ _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._ -
transformers (πŸ₯‡50 Β· ⭐ 110K) - Transformers: State-of-the-art Machine Learning for.. Apache-2 +
transformers (πŸ₯‡50 Β· ⭐ 120K) - Transformers: State-of-the-art Machine Learning for.. Apache-2 -- [GitHub](https://github.com/huggingface/transformers) (πŸ‘¨β€πŸ’» 2.2K Β· πŸ”€ 22K Β· πŸ“₯ 140 Β· πŸ“¦ 110K Β· πŸ“‹ 13K - 5% open Β· ⏱️ 09.11.2023): +- [GitHub](https://github.com/huggingface/transformers) (πŸ‘¨β€πŸ’» 2.3K Β· πŸ”€ 23K Β· πŸ“¦ 110K Β· πŸ“‹ 14K - 6% open Β· ⏱️ 16.11.2023): ``` git clone https://github.com/huggingface/transformers ``` -- [PyPi](https://pypi.org/project/transformers) (πŸ“₯ 18M / month): +- [PyPi](https://pypi.org/project/transformers) (πŸ“₯ 18M / month Β· πŸ“¦ 2.5K Β· ⏱️ 15.11.2023): ``` pip install transformers ``` -- [Conda](https://anaconda.org/conda-forge/transformers) (πŸ“₯ 1.4M Β· ⏱️ 03.11.2023): +- [Conda](https://anaconda.org/conda-forge/transformers) (πŸ“₯ 1.4M Β· ⏱️ 15.11.2023): ``` conda install -c conda-forge transformers ```
spaCy (πŸ₯‡44 Β· ⭐ 28K) - Industrial-strength Natural Language Processing (NLP) in Python. MIT -- [GitHub](https://github.com/explosion/spaCy) (πŸ‘¨β€πŸ’» 740 Β· πŸ”€ 4.1K Β· πŸ“¦ 73K Β· πŸ“‹ 5.5K - 1% open Β· ⏱️ 08.11.2023): +- [GitHub](https://github.com/explosion/spaCy) (πŸ‘¨β€πŸ’» 740 Β· πŸ”€ 4.2K Β· πŸ“¦ 74K Β· πŸ“‹ 5.5K - 1% open Β· ⏱️ 10.11.2023): ``` git clone https://github.com/explosion/spaCy ``` -- [PyPi](https://pypi.org/project/spacy) (πŸ“₯ 6.9M / month): +- [PyPi](https://pypi.org/project/spacy) (πŸ“₯ 6.7M / month Β· πŸ“¦ 2.9K Β· ⏱️ 16.10.2023): ``` pip install spacy ``` @@ -1494,7 +1513,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we conda install -c conda-forge gensim ```
-
nltk (πŸ₯‡41 Β· ⭐ 12K) - Suite of libraries and programs for symbolic and statistical natural.. Apache-2 +
nltk (πŸ₯‡41 Β· ⭐ 13K) - Suite of libraries and programs for symbolic and statistical natural.. Apache-2 - [GitHub](https://github.com/nltk/nltk) (πŸ‘¨β€πŸ’» 440 Β· πŸ”€ 2.7K Β· πŸ“¦ 230K Β· πŸ“‹ 1.7K - 14% open Β· ⏱️ 09.11.2023): @@ -1517,30 +1536,14 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/RasaHQ/rasa ``` -- [PyPi](https://pypi.org/project/rasa) (πŸ“₯ 130K / month): +- [PyPi](https://pypi.org/project/rasa) (πŸ“₯ 140K / month): ``` pip install rasa ```
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flair (πŸ₯‡39 Β· ⭐ 13K) - A very simple framework for state-of-the-art Natural Language Processing.. MIT - -- [GitHub](https://github.com/flairNLP/flair) (πŸ‘¨β€πŸ’» 250 Β· πŸ”€ 2K Β· πŸ“¦ 2.8K Β· πŸ“‹ 2.2K - 2% open Β· ⏱️ 30.10.2023): - - ``` - git clone https://github.com/flairNLP/flair - ``` -- [PyPi](https://pypi.org/project/flair) (πŸ“₯ 120K / month Β· πŸ“¦ 90 Β· ⏱️ 28.10.2023): - ``` - pip install flair - ``` -- [Conda](https://anaconda.org/conda-forge/python-flair) (πŸ“₯ 22K Β· ⏱️ 23.07.2023): - ``` - conda install -c conda-forge python-flair - ``` -
Tokenizers (πŸ₯‡38 Β· ⭐ 7.8K) - Fast State-of-the-Art Tokenizers optimized for Research and.. Apache-2 -- [GitHub](https://github.com/huggingface/tokenizers) (πŸ‘¨β€πŸ’» 81 Β· πŸ”€ 630 Β· πŸ“₯ 33 Β· πŸ“¦ 48K Β· πŸ“‹ 840 - 31% open Β· ⏱️ 06.11.2023): +- [GitHub](https://github.com/huggingface/tokenizers) (πŸ‘¨β€πŸ’» 82 Β· πŸ”€ 630 Β· πŸ“₯ 33 Β· πŸ“¦ 49K Β· πŸ“‹ 850 - 31% open Β· ⏱️ 15.11.2023): ``` git clone https://github.com/huggingface/tokenizers @@ -1549,14 +1552,14 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` pip install tokenizers ``` -- [Conda](https://anaconda.org/conda-forge/tokenizers) (πŸ“₯ 1.4M Β· ⏱️ 16.10.2023): +- [Conda](https://anaconda.org/conda-forge/tokenizers) (πŸ“₯ 1.4M Β· ⏱️ 16.11.2023): ``` conda install -c conda-forge tokenizers ```
haystack (πŸ₯‡37 Β· ⭐ 12K) - LLM orchestration framework to build customizable, production-ready.. Apache-2 -- [GitHub](https://github.com/deepset-ai/haystack) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 1.5K Β· πŸ“₯ 23 Β· πŸ“¦ 1K Β· πŸ“‹ 2.7K - 18% open Β· ⏱️ 09.11.2023): +- [GitHub](https://github.com/deepset-ai/haystack) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 1.5K Β· πŸ“₯ 23 Β· πŸ“¦ 1K Β· πŸ“‹ 2.7K - 18% open Β· ⏱️ 16.11.2023): ``` git clone https://github.com/deepset-ai/haystack @@ -1568,28 +1571,28 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
fairseq (πŸ₯‡36 Β· ⭐ 28K) - Facebook AI Research Sequence-to-Sequence Toolkit written in Python. MIT -- [GitHub](https://github.com/facebookresearch/fairseq) (πŸ‘¨β€πŸ’» 420 Β· πŸ”€ 5.9K Β· πŸ“₯ 320 Β· πŸ“¦ 2.3K Β· πŸ“‹ 4K - 25% open Β· ⏱️ 10.10.2023): +- [GitHub](https://github.com/facebookresearch/fairseq) (πŸ‘¨β€πŸ’» 420 Β· πŸ”€ 5.9K Β· πŸ“₯ 320 Β· πŸ“¦ 2.3K Β· πŸ“‹ 4.1K - 25% open Β· ⏱️ 10.10.2023): ``` git clone https://github.com/facebookresearch/fairseq ``` -- [PyPi](https://pypi.org/project/fairseq) (πŸ“₯ 400K / month): +- [PyPi](https://pypi.org/project/fairseq) (πŸ“₯ 380K / month): ``` pip install fairseq ``` -- [Conda](https://anaconda.org/conda-forge/fairseq) (πŸ“₯ 55K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/fairseq) (πŸ“₯ 56K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge fairseq ```
sentence-transformers (πŸ₯‡36 Β· ⭐ 12K) - Multilingual Sentence & Image Embeddings with BERT. Apache-2 -- [GitHub](https://github.com/UKPLab/sentence-transformers) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 2.1K Β· πŸ“¦ 18K Β· πŸ“‹ 1.8K - 56% open Β· ⏱️ 20.09.2023): +- [GitHub](https://github.com/UKPLab/sentence-transformers) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 2.1K Β· πŸ“¦ 19K Β· πŸ“‹ 1.8K - 56% open Β· ⏱️ 20.09.2023): ``` git clone https://github.com/UKPLab/sentence-transformers ``` -- [PyPi](https://pypi.org/project/sentence-transformers) (πŸ“₯ 3M / month Β· πŸ“¦ 420 Β· ⏱️ 26.06.2022): +- [PyPi](https://pypi.org/project/sentence-transformers) (πŸ“₯ 2.9M / month Β· πŸ“¦ 420 Β· ⏱️ 26.06.2022): ``` pip install sentence-transformers ``` @@ -1598,21 +1601,21 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we conda install -c conda-forge sentence-transformers ```
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NeMo (πŸ₯‡36 Β· ⭐ 8.4K) - NeMo: a toolkit for conversational AI. Apache-2 +
NeMo (πŸ₯‡36 Β· ⭐ 8.5K) - NeMo: a toolkit for conversational AI. Apache-2 -- [GitHub](https://github.com/NVIDIA/NeMo) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 1.8K Β· πŸ“₯ 92K Β· πŸ“¦ 21 Β· πŸ“‹ 1.8K - 2% open Β· ⏱️ 08.11.2023): +- [GitHub](https://github.com/NVIDIA/NeMo) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 1.8K Β· πŸ“₯ 95K Β· πŸ“¦ 21 Β· πŸ“‹ 1.8K - 1% open Β· ⏱️ 16.11.2023): ``` git clone https://github.com/NVIDIA/NeMo ``` -- [PyPi](https://pypi.org/project/nemo-toolkit) (πŸ“₯ 39K / month): +- [PyPi](https://pypi.org/project/nemo-toolkit) (πŸ“₯ 38K / month): ``` pip install nemo-toolkit ```
spark-nlp (πŸ₯‡36 Β· ⭐ 3.5K) - State of the Art Natural Language Processing. Apache-2 -- [GitHub](https://github.com/JohnSnowLabs/spark-nlp) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 670 Β· πŸ“¦ 350 Β· πŸ“‹ 830 - 4% open Β· ⏱️ 26.10.2023): +- [GitHub](https://github.com/JohnSnowLabs/spark-nlp) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 670 Β· πŸ“¦ 360 Β· πŸ“‹ 830 - 4% open Β· ⏱️ 14.11.2023): ``` git clone https://github.com/JohnSnowLabs/spark-nlp @@ -1622,46 +1625,46 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we pip install spark-nlp ```
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sentencepiece (πŸ₯ˆ35 Β· ⭐ 8.5K) - Unsupervised text tokenizer for Neural Network-based text.. Apache-2 +
AllenNLP (πŸ₯ˆ35 Β· ⭐ 12K Β· πŸ’€) - An open-source NLP research library, built on PyTorch. Apache-2 -- [GitHub](https://github.com/google/sentencepiece) (πŸ‘¨β€πŸ’» 78 Β· πŸ”€ 1K Β· πŸ“₯ 31K Β· πŸ“¦ 46K Β· πŸ“‹ 670 - 4% open Β· ⏱️ 05.08.2023): +- [GitHub](https://github.com/allenai/allennlp) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 2.3K Β· πŸ“₯ 61 Β· πŸ“¦ 3.8K Β· πŸ“‹ 2.6K - 3% open Β· ⏱️ 22.11.2022): ``` - git clone https://github.com/google/sentencepiece + git clone https://github.com/allenai/allennlp ``` -- [PyPi](https://pypi.org/project/sentencepiece) (πŸ“₯ 10M / month Β· πŸ“¦ 810 Β· ⏱️ 02.05.2023): +- [PyPi](https://pypi.org/project/allennlp) (πŸ“₯ 55K / month Β· πŸ“¦ 190 Β· ⏱️ 18.10.2022): ``` - pip install sentencepiece + pip install allennlp ``` -- [Conda](https://anaconda.org/conda-forge/sentencepiece) (πŸ“₯ 670K Β· ⏱️ 02.11.2023): +- [Conda](https://anaconda.org/conda-forge/allennlp) (πŸ“₯ 120K Β· ⏱️ 16.06.2023): ``` - conda install -c conda-forge sentencepiece + conda install -c conda-forge allennlp ```
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stanza (πŸ₯ˆ35 Β· ⭐ 6.8K) - Stanford NLP Python library for tokenization, sentence segmentation,.. Apache-2 +
sentencepiece (πŸ₯ˆ35 Β· ⭐ 8.5K) - Unsupervised text tokenizer for Neural Network-based text.. Apache-2 -- [GitHub](https://github.com/stanfordnlp/stanza) (πŸ‘¨β€πŸ’» 64 Β· πŸ”€ 890 Β· πŸ“¦ 2.2K Β· πŸ“‹ 830 - 9% open Β· ⏱️ 06.10.2023): +- [GitHub](https://github.com/google/sentencepiece) (πŸ‘¨β€πŸ’» 78 Β· πŸ”€ 1K Β· πŸ“₯ 31K Β· πŸ“¦ 46K Β· πŸ“‹ 670 - 4% open Β· ⏱️ 05.08.2023): ``` - git clone https://github.com/stanfordnlp/stanza + git clone https://github.com/google/sentencepiece ``` -- [PyPi](https://pypi.org/project/stanza) (πŸ“₯ 150K / month Β· πŸ“¦ 92 Β· ⏱️ 06.10.2023): +- [PyPi](https://pypi.org/project/sentencepiece) (πŸ“₯ 10M / month): ``` - pip install stanza + pip install sentencepiece ``` -- [Conda](https://anaconda.org/stanfordnlp/stanza) (πŸ“₯ 7.2K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/sentencepiece) (πŸ“₯ 670K Β· ⏱️ 02.11.2023): ``` - conda install -c stanfordnlp stanza + conda install -c conda-forge sentencepiece ```
TensorFlow Text (πŸ₯ˆ35 Β· ⭐ 1.2K) - Making text a first-class citizen in TensorFlow. Apache-2 -- [GitHub](https://github.com/tensorflow/text) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 300 Β· πŸ“¦ 6K Β· πŸ“‹ 310 - 47% open Β· ⏱️ 17.10.2023): +- [GitHub](https://github.com/tensorflow/text) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 300 Β· πŸ“¦ 6K Β· πŸ“‹ 230 - 30% open Β· ⏱️ 17.10.2023): ``` git clone https://github.com/tensorflow/text ``` -- [PyPi](https://pypi.org/project/tensorflow-text) (πŸ“₯ 3.7M / month Β· πŸ“¦ 130 Β· ⏱️ 26.10.2023): +- [PyPi](https://pypi.org/project/tensorflow-text) (πŸ“₯ 3.8M / month): ``` pip install tensorflow-text ``` @@ -1673,7 +1676,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/facebookresearch/fastText ``` -- [PyPi](https://pypi.org/project/fasttext) (πŸ“₯ 1.3M / month): +- [PyPi](https://pypi.org/project/fasttext) (πŸ“₯ 1.2M / month): ``` pip install fasttext ``` @@ -1682,70 +1685,70 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we conda install -c conda-forge fasttext ```
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AllenNLP (πŸ₯ˆ34 Β· ⭐ 12K Β· πŸ’€) - An open-source NLP research library, built on PyTorch. Apache-2 +
TextBlob (πŸ₯ˆ34 Β· ⭐ 8.8K Β· πŸ’€) - Simple, Pythonic, text processing--Sentiment analysis, part-of-.. MIT -- [GitHub](https://github.com/allenai/allennlp) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 2.2K Β· πŸ“₯ 61 Β· πŸ“¦ 3.8K Β· πŸ“‹ 2.6K - 3% open Β· ⏱️ 22.11.2022): +- [GitHub](https://github.com/sloria/TextBlob) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 1.1K Β· πŸ“₯ 110 Β· πŸ“¦ 34K Β· πŸ“‹ 260 - 39% open Β· ⏱️ 11.03.2023): ``` - git clone https://github.com/allenai/allennlp + git clone https://github.com/sloria/TextBlob ``` -- [PyPi](https://pypi.org/project/allennlp) (πŸ“₯ 52K / month): +- [PyPi](https://pypi.org/project/textblob) (πŸ“₯ 550K / month): ``` - pip install allennlp + pip install textblob ``` -- [Conda](https://anaconda.org/conda-forge/allennlp) (πŸ“₯ 120K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/textblob) (πŸ“₯ 240K Β· ⏱️ 16.06.2023): ``` - conda install -c conda-forge allennlp + conda install -c conda-forge textblob ```
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TextBlob (πŸ₯ˆ34 Β· ⭐ 8.8K Β· πŸ’€) - Simple, Pythonic, text processing--Sentiment analysis, part-of-.. MIT +
stanza (πŸ₯ˆ34 Β· ⭐ 6.9K) - Stanford NLP Python library for tokenization, sentence segmentation,.. Apache-2 -- [GitHub](https://github.com/sloria/TextBlob) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 1.1K Β· πŸ“₯ 110 Β· πŸ“¦ 34K Β· πŸ“‹ 260 - 39% open Β· ⏱️ 11.03.2023): +- [GitHub](https://github.com/stanfordnlp/stanza) (πŸ‘¨β€πŸ’» 64 Β· πŸ”€ 890 Β· πŸ“¦ 2.2K Β· πŸ“‹ 830 - 9% open Β· ⏱️ 06.10.2023): ``` - git clone https://github.com/sloria/TextBlob + git clone https://github.com/stanfordnlp/stanza ``` -- [PyPi](https://pypi.org/project/textblob) (πŸ“₯ 580K / month): +- [PyPi](https://pypi.org/project/stanza) (πŸ“₯ 160K / month Β· πŸ“¦ 92 Β· ⏱️ 06.10.2023): ``` - pip install textblob + pip install stanza ``` -- [Conda](https://anaconda.org/conda-forge/textblob) (πŸ“₯ 240K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/stanfordnlp/stanza) (πŸ“₯ 7.2K Β· ⏱️ 16.06.2023): ``` - conda install -c conda-forge textblob + conda install -c stanfordnlp stanza ```
OpenNMT (πŸ₯ˆ34 Β· ⭐ 6.3K) - Open Source Neural Machine Translation and (Large) Language Models.. MIT -- [GitHub](https://github.com/OpenNMT/OpenNMT-py) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 2.1K Β· πŸ“¦ 230 Β· πŸ“‹ 1.4K - 1% open Β· ⏱️ 08.11.2023): +- [GitHub](https://github.com/OpenNMT/OpenNMT-py) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 2.1K Β· πŸ“¦ 230 Β· πŸ“‹ 1.4K - 1% open Β· ⏱️ 13.11.2023): ``` git clone https://github.com/OpenNMT/OpenNMT-py ``` -- [PyPi](https://pypi.org/project/OpenNMT-py) (πŸ“₯ 4.7K / month): +- [PyPi](https://pypi.org/project/OpenNMT-py) (πŸ“₯ 4.8K / month): ``` pip install OpenNMT-py ```
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litellm (πŸ₯ˆ34 Β· ⭐ 2.7K Β· 🐣) - Call all LLM APIs using the OpenAI format. Use.. MIT o t h e r s +
litellm (πŸ₯ˆ34 Β· ⭐ 2.8K Β· 🐣) - Call all LLM APIs using the OpenAI format. Use.. MIT o t h e r s -- [GitHub](https://github.com/BerriAI/litellm) (πŸ‘¨β€πŸ’» 52 Β· πŸ”€ 220 Β· πŸ“¦ 370 Β· πŸ“‹ 660 - 14% open Β· ⏱️ 09.11.2023): +- [GitHub](https://github.com/BerriAI/litellm) (πŸ‘¨β€πŸ’» 58 Β· πŸ”€ 250 Β· πŸ“¦ 410 Β· πŸ“‹ 680 - 14% open Β· ⏱️ 16.11.2023): ``` git clone https://github.com/BerriAI/litellm ``` -- [PyPi](https://pypi.org/project/litellm) (πŸ“₯ 160K / month Β· πŸ“¦ 31 Β· ⏱️ 08.11.2023): +- [PyPi](https://pypi.org/project/litellm) (πŸ“₯ 150K / month Β· πŸ“¦ 34 Β· ⏱️ 16.11.2023): ``` pip install litellm ```
rubrix (πŸ₯ˆ34 Β· ⭐ 2.6K) - Argilla: the open-source feedback platform for LLMs. Apache-2 -- [GitHub](https://github.com/argilla-io/argilla) (πŸ‘¨β€πŸ’» 72 Β· πŸ”€ 250 Β· πŸ“¦ 2K Β· πŸ“‹ 1.6K - 12% open Β· ⏱️ 09.11.2023): +- [GitHub](https://github.com/argilla-io/argilla) (πŸ‘¨β€πŸ’» 73 Β· πŸ”€ 250 Β· πŸ“¦ 2K Β· πŸ“‹ 1.7K - 13% open Β· ⏱️ 16.11.2023): ``` git clone https://github.com/recognai/rubrix ``` -- [PyPi](https://pypi.org/project/rubrix) (πŸ“₯ 380 / month Β· ⏱️ 24.10.2022): +- [PyPi](https://pypi.org/project/rubrix) (πŸ“₯ 550 / month Β· ⏱️ 24.10.2022): ``` pip install rubrix ``` @@ -1756,31 +1759,19 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
ParlAI (πŸ₯ˆ33 Β· ⭐ 10K) - A framework for training and evaluating AI models on a variety of.. MIT -- [GitHub](https://github.com/facebookresearch/ParlAI) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 2K Β· πŸ“¦ 21 Β· πŸ“‹ 1.5K - 3% open Β· ⏱️ 03.11.2023): +- [GitHub](https://github.com/facebookresearch/ParlAI) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 2.1K Β· πŸ“¦ 21 Β· πŸ“‹ 1.5K - 3% open Β· ⏱️ 03.11.2023): ``` git clone https://github.com/facebookresearch/ParlAI ``` -- [PyPi](https://pypi.org/project/parlai) (πŸ“₯ 3.7K / month): +- [PyPi](https://pypi.org/project/parlai) (πŸ“₯ 3.7K / month Β· πŸ“¦ 5 Β· ⏱️ 20.09.2022): ``` pip install parlai ```
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DeepPavlov (πŸ₯ˆ33 Β· ⭐ 6.4K) - An open source library for deep learning end-to-end dialog.. Apache-2 - -- [GitHub](https://github.com/deeppavlov/DeepPavlov) (πŸ‘¨β€πŸ’» 76 Β· πŸ”€ 1.1K Β· πŸ“¦ 360 Β· πŸ“‹ 630 - 2% open Β· ⏱️ 17.10.2023): - - ``` - git clone https://github.com/deepmipt/DeepPavlov - ``` -- [PyPi](https://pypi.org/project/deeppavlov) (πŸ“₯ 8.6K / month): - ``` - pip install deeppavlov - ``` -
jellyfish (πŸ₯ˆ33 Β· ⭐ 1.9K) - a python library for doing approximate and phonetic matching of strings. MIT -- [GitHub](https://github.com/jamesturk/jellyfish) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 160 Β· πŸ“¦ 7.3K Β· πŸ“‹ 130 - 8% open Β· ⏱️ 25.10.2023): +- [GitHub](https://github.com/jamesturk/jellyfish) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 160 Β· πŸ“¦ 7.3K Β· πŸ“‹ 130 - 6% open Β· ⏱️ 13.11.2023): ``` git clone https://github.com/jamesturk/jellyfish @@ -1805,11 +1796,23 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` pip install snowballstemmer ``` -- [Conda](https://anaconda.org/conda-forge/snowballstemmer) (πŸ“₯ 7.4M Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/snowballstemmer) (πŸ“₯ 7.5M Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge snowballstemmer ```
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DeepPavlov (πŸ₯ˆ32 Β· ⭐ 6.4K) - An open source library for deep learning end-to-end dialog.. Apache-2 + +- [GitHub](https://github.com/deeppavlov/DeepPavlov) (πŸ‘¨β€πŸ’» 76 Β· πŸ”€ 1.1K Β· πŸ“¦ 360 Β· πŸ“‹ 630 - 2% open Β· ⏱️ 17.10.2023): + + ``` + git clone https://github.com/deepmipt/DeepPavlov + ``` +- [PyPi](https://pypi.org/project/deeppavlov) (πŸ“₯ 11K / month): + ``` + pip install deeppavlov + ``` +
Dedupe (πŸ₯ˆ30 Β· ⭐ 3.9K Β· πŸ’€) - A python library for accurate and scalable fuzzy matching, record.. MIT - [GitHub](https://github.com/dedupeio/dedupe) (πŸ‘¨β€πŸ’» 70 Β· πŸ”€ 520 Β· πŸ“¦ 300 Β· πŸ“‹ 800 - 9% open Β· ⏱️ 17.02.2023): @@ -1817,7 +1820,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/dedupeio/dedupe ``` -- [PyPi](https://pypi.org/project/dedupe) (πŸ“₯ 77K / month Β· πŸ“¦ 49 Β· ⏱️ 17.02.2023): +- [PyPi](https://pypi.org/project/dedupe) (πŸ“₯ 75K / month Β· πŸ“¦ 49 Β· ⏱️ 17.02.2023): ``` pip install dedupe ``` @@ -1828,16 +1831,16 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
TextDistance (πŸ₯ˆ30 Β· ⭐ 3.2K) - Compute distance between sequences. 30+ algorithms, pure python.. MIT -- [GitHub](https://github.com/life4/textdistance) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 240 Β· πŸ“₯ 940 Β· πŸ“¦ 5.1K Β· ⏱️ 28.09.2023): +- [GitHub](https://github.com/life4/textdistance) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 250 Β· πŸ“₯ 970 Β· πŸ“¦ 5.2K Β· ⏱️ 28.09.2023): ``` git clone https://github.com/life4/textdistance ``` -- [PyPi](https://pypi.org/project/textdistance) (πŸ“₯ 400K / month): +- [PyPi](https://pypi.org/project/textdistance) (πŸ“₯ 400K / month Β· πŸ“¦ 63 Β· ⏱️ 28.09.2023): ``` pip install textdistance ``` -- [Conda](https://anaconda.org/conda-forge/textdistance) (πŸ“₯ 490K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/textdistance) (πŸ“₯ 500K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge textdistance ``` @@ -1849,7 +1852,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/dmlc/gluon-nlp ``` -- [PyPi](https://pypi.org/project/gluonnlp) (πŸ“₯ 91K / month): +- [PyPi](https://pypi.org/project/gluonnlp) (πŸ“₯ 89K / month): ``` pip install gluonnlp ``` @@ -1861,23 +1864,23 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/allenai/scispacy ``` -- [PyPi](https://pypi.org/project/scispacy) (πŸ“₯ 51K / month): +- [PyPi](https://pypi.org/project/scispacy) (πŸ“₯ 42K / month): ``` pip install scispacy ```
spacy-transformers (πŸ₯ˆ30 Β· ⭐ 1.3K) - Use pretrained transformers like BERT, XLNet and GPT-2.. MIT spacy -- [GitHub](https://github.com/explosion/spacy-transformers) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 150 Β· πŸ“¦ 1.3K Β· ⏱️ 08.11.2023): +- [GitHub](https://github.com/explosion/spacy-transformers) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 160 Β· πŸ“¦ 1.4K Β· ⏱️ 08.11.2023): ``` git clone https://github.com/explosion/spacy-transformers ``` -- [PyPi](https://pypi.org/project/spacy-transformers) (πŸ“₯ 290K / month): +- [PyPi](https://pypi.org/project/spacy-transformers) (πŸ“₯ 250K / month Β· πŸ“¦ 42 Β· ⏱️ 08.11.2023): ``` pip install spacy-transformers ``` -- [Conda](https://anaconda.org/conda-forge/spacy-transformers) (πŸ“₯ 24K Β· ⏱️ 09.11.2023): +- [Conda](https://anaconda.org/conda-forge/spacy-transformers) (πŸ“₯ 25K Β· ⏱️ 09.11.2023): ``` conda install -c conda-forge spacy-transformers ``` @@ -1889,19 +1892,19 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/pytorch/text ``` -- [PyPi](https://pypi.org/project/torchtext) (πŸ“₯ 410K / month): +- [PyPi](https://pypi.org/project/torchtext) (πŸ“₯ 400K / month): ``` pip install torchtext ```
CLTK (πŸ₯ˆ29 Β· ⭐ 810) - The Classical Language Toolkit. MIT -- [GitHub](https://github.com/cltk/cltk) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 320 Β· πŸ“₯ 44 Β· πŸ“¦ 250 Β· πŸ“‹ 560 - 6% open Β· ⏱️ 04.11.2023): +- [GitHub](https://github.com/cltk/cltk) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 320 Β· πŸ“₯ 46 Β· πŸ“¦ 250 Β· πŸ“‹ 560 - 5% open Β· ⏱️ 04.11.2023): ``` git clone https://github.com/cltk/cltk ``` -- [PyPi](https://pypi.org/project/cltk) (πŸ“₯ 1.9K / month Β· πŸ“¦ 42 Β· ⏱️ 04.11.2023): +- [PyPi](https://pypi.org/project/cltk) (πŸ“₯ 2.1K / month): ``` pip install cltk ``` @@ -1913,54 +1916,42 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/dwyl/english-words ``` -- [PyPi](https://pypi.org/project/english-words) (πŸ“₯ 560K / month Β· πŸ“¦ 8 Β· ⏱️ 06.01.2023): +- [PyPi](https://pypi.org/project/english-words) (πŸ“₯ 530K / month Β· πŸ“¦ 8 Β· ⏱️ 06.01.2023): ``` pip install english-words ```
Sumy (πŸ₯ˆ28 Β· ⭐ 3.3K) - Module for automatic summarization of text documents and HTML pages. Apache-2 -- [GitHub](https://github.com/miso-belica/sumy) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 510 Β· πŸ“¦ 2.3K Β· πŸ“‹ 120 - 13% open Β· ⏱️ 11.08.2023): +- [GitHub](https://github.com/miso-belica/sumy) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 520 Β· πŸ“¦ 2.3K Β· πŸ“‹ 120 - 15% open Β· ⏱️ 10.11.2023): ``` git clone https://github.com/miso-belica/sumy ``` -- [PyPi](https://pypi.org/project/sumy) (πŸ“₯ 27K / month): +- [PyPi](https://pypi.org/project/sumy) (πŸ“₯ 27K / month Β· πŸ“¦ 110 Β· ⏱️ 21.04.2022): ``` pip install sumy ``` -- [Conda](https://anaconda.org/conda-forge/sumy) (πŸ“₯ 7K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/sumy) (πŸ“₯ 7.1K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge sumy ```
DeepKE (πŸ₯ˆ28 Β· ⭐ 2.5K) - An Open Toolkit for Knowledge Graph Extraction and Construction.. MIT -- [GitHub](https://github.com/zjunlp/DeepKE) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 570 Β· πŸ“¦ 19 Β· πŸ“‹ 330 - 0% open Β· ⏱️ 09.11.2023): +- [GitHub](https://github.com/zjunlp/DeepKE) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 570 Β· πŸ“¦ 19 Β· ⏱️ 15.11.2023): ``` git clone https://github.com/zjunlp/deepke ``` -- [PyPi](https://pypi.org/project/deepke) (πŸ“₯ 700 / month Β· ⏱️ 21.09.2023): +- [PyPi](https://pypi.org/project/deepke) (πŸ“₯ 860 / month Β· ⏱️ 21.09.2023): ``` pip install deepke ```
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PyTextRank (πŸ₯ˆ28 Β· ⭐ 2.1K) - Python implementation of TextRank algorithms (textgraphs) for phrase.. MIT - -- [GitHub](https://github.com/DerwenAI/pytextrank) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 310 Β· πŸ“¦ 500 Β· πŸ“‹ 98 - 7% open Β· ⏱️ 22.08.2023): - - ``` - git clone https://github.com/DerwenAI/pytextrank - ``` -- [PyPi](https://pypi.org/project/pytextrank) (πŸ“₯ 64K / month): - ``` - pip install pytextrank - ``` -
qdrant (πŸ₯‰27 Β· ⭐ 14K) - Qdrant - High-performance, massive-scale Vector Database for the next.. Apache-2 -- [GitHub](https://github.com/qdrant/qdrant) (πŸ‘¨β€πŸ’» 70 Β· πŸ”€ 790 Β· πŸ“₯ 2.9K Β· πŸ“‹ 780 - 18% open Β· ⏱️ 27.10.2023): +- [GitHub](https://github.com/qdrant/qdrant) (πŸ‘¨β€πŸ’» 70 Β· πŸ”€ 790 Β· πŸ“₯ 3.5K Β· πŸ“‹ 800 - 19% open Β· ⏱️ 13.11.2023): ``` git clone https://github.com/qdrant/qdrant @@ -1973,11 +1964,23 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/fastnlp/fastNLP ``` -- [PyPi](https://pypi.org/project/fastnlp) (πŸ“₯ 26K / month Β· πŸ“¦ 2 Β· ⏱️ 31.10.2022): +- [PyPi](https://pypi.org/project/fastnlp) (πŸ“₯ 28K / month Β· πŸ“¦ 2 Β· ⏱️ 31.10.2022): ``` pip install fastnlp ```
+
PyTextRank (πŸ₯‰27 Β· ⭐ 2.1K) - Python implementation of TextRank algorithms (textgraphs) for phrase.. MIT + +- [GitHub](https://github.com/DerwenAI/pytextrank) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 310 Β· πŸ“¦ 510 Β· πŸ“‹ 98 - 7% open Β· ⏱️ 22.08.2023): + + ``` + git clone https://github.com/DerwenAI/pytextrank + ``` +- [PyPi](https://pypi.org/project/pytextrank) (πŸ“₯ 56K / month): + ``` + pip install pytextrank + ``` +
Ciphey (πŸ₯‰26 Β· ⭐ 14K) - Automatically decrypt encryptions without knowing the key or cipher, decode.. MIT - [GitHub](https://github.com/Ciphey/Ciphey) (πŸ‘¨β€πŸ’» 48 Β· πŸ”€ 870 Β· πŸ“‹ 310 - 15% open Β· ⏱️ 12.10.2023): @@ -1985,7 +1988,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/Ciphey/Ciphey ``` -- [PyPi](https://pypi.org/project/ciphey) (πŸ“₯ 53K / month): +- [PyPi](https://pypi.org/project/ciphey) (πŸ“₯ 52K / month): ``` pip install ciphey ``` @@ -1994,44 +1997,40 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we docker pull remnux/ciphey ```
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OpenPrompt (πŸ₯‰25 Β· ⭐ 3.9K) - An Open-Source Framework for Prompt-Learning. Apache-2 +
T5 (πŸ₯‰25 Β· ⭐ 5.6K) - Code for the paper Exploring the Limits of Transfer Learning with a.. Apache-2 -- [GitHub](https://github.com/thunlp/OpenPrompt) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 400 Β· πŸ“¦ 86 Β· πŸ“‹ 240 - 29% open Β· ⏱️ 06.05.2023): +- [GitHub](https://github.com/google-research/text-to-text-transfer-transformer) (πŸ‘¨β€πŸ’» 57 Β· πŸ”€ 730 Β· πŸ“‹ 450 - 23% open Β· ⏱️ 25.10.2023): ``` - git clone https://github.com/thunlp/OpenPrompt + git clone https://github.com/google-research/text-to-text-transfer-transformer ``` -- [PyPi](https://pypi.org/project/openprompt) (πŸ“₯ 1.7K / month Β· πŸ“¦ 2 Β· ⏱️ 06.07.2022): +- [PyPi](https://pypi.org/project/t5) (πŸ“₯ 73K / month Β· πŸ“¦ 2 Β· ⏱️ 18.10.2021): ``` - pip install openprompt + pip install t5 ```
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promptsource (πŸ₯‰25 Β· ⭐ 2.2K) - Toolkit for creating, sharing and using natural language.. Apache-2 +
OpenPrompt (πŸ₯‰25 Β· ⭐ 3.9K) - An Open-Source Framework for Prompt-Learning. Apache-2 -- [GitHub](https://github.com/bigscience-workshop/promptsource) (πŸ‘¨β€πŸ’» 65 Β· πŸ”€ 290 Β· πŸ“¦ 68 Β· πŸ“‹ 200 - 24% open Β· ⏱️ 23.10.2023): +- [GitHub](https://github.com/thunlp/OpenPrompt) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 400 Β· πŸ“¦ 87 Β· πŸ“‹ 240 - 29% open Β· ⏱️ 06.05.2023): ``` - git clone https://github.com/bigscience-workshop/promptsource + git clone https://github.com/thunlp/OpenPrompt ``` -- [PyPi](https://pypi.org/project/promptsource) (πŸ“₯ 1.9K / month Β· πŸ“¦ 1 Β· ⏱️ 18.04.2022): +- [PyPi](https://pypi.org/project/openprompt) (πŸ“₯ 1.3K / month Β· πŸ“¦ 2 Β· ⏱️ 06.07.2022): ``` - pip install promptsource + pip install openprompt ```
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scattertext (πŸ₯‰25 Β· ⭐ 2.2K) - Beautiful visualizations of how language differs among document.. Apache-2 +
promptsource (πŸ₯‰25 Β· ⭐ 2.2K) - Toolkit for creating, sharing and using natural language.. Apache-2 -- [GitHub](https://github.com/JasonKessler/scattertext) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 280 Β· πŸ“¦ 440 Β· πŸ“‹ 99 - 21% open Β· ⏱️ 05.09.2023): +- [GitHub](https://github.com/bigscience-workshop/promptsource) (πŸ‘¨β€πŸ’» 65 Β· πŸ”€ 290 Β· πŸ“¦ 69 Β· πŸ“‹ 200 - 24% open Β· ⏱️ 23.10.2023): ``` - git clone https://github.com/JasonKessler/scattertext - ``` -- [PyPi](https://pypi.org/project/scattertext) (πŸ“₯ 11K / month Β· πŸ“¦ 10 Β· ⏱️ 26.03.2022): - ``` - pip install scattertext + git clone https://github.com/bigscience-workshop/promptsource ``` -- [Conda](https://anaconda.org/conda-forge/scattertext) (πŸ“₯ 85K Β· ⏱️ 16.06.2023): +- [PyPi](https://pypi.org/project/promptsource) (πŸ“₯ 2.7K / month Β· πŸ“¦ 1 Β· ⏱️ 18.04.2022): ``` - conda install -c conda-forge scattertext + pip install promptsource ```
sense2vec (πŸ₯‰25 Β· ⭐ 1.5K Β· πŸ’€) - Contextually-keyed word vectors. MIT @@ -2041,7 +2040,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/explosion/sense2vec ``` -- [PyPi](https://pypi.org/project/sense2vec) (πŸ“₯ 2.1K / month Β· πŸ“¦ 13 Β· ⏱️ 19.04.2021): +- [PyPi](https://pypi.org/project/sense2vec) (πŸ“₯ 2K / month Β· πŸ“¦ 13 Β· ⏱️ 19.04.2021): ``` pip install sense2vec ``` @@ -2050,38 +2049,54 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we conda install -c conda-forge sense2vec ```
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T5 (πŸ₯‰24 Β· ⭐ 5.6K) - Code for the paper Exploring the Limits of Transfer Learning with a.. Apache-2 +
pytorch-nlp (πŸ₯‰24 Β· ⭐ 2.2K) - Basic Utilities for PyTorch Natural Language Processing (NLP). BSD-3 -- [GitHub](https://github.com/google-research/text-to-text-transfer-transformer) (πŸ‘¨β€πŸ’» 57 Β· πŸ”€ 730 Β· πŸ“‹ 450 - 23% open Β· ⏱️ 25.10.2023): +- [GitHub](https://github.com/PetrochukM/PyTorch-NLP) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 260 Β· πŸ“¦ 600 Β· πŸ“‹ 69 - 27% open Β· ⏱️ 04.07.2023): ``` - git clone https://github.com/google-research/text-to-text-transfer-transformer + git clone https://github.com/PetrochukM/PyTorch-NLP ``` -- [PyPi](https://pypi.org/project/t5) (πŸ“₯ 56K / month Β· πŸ“¦ 2 Β· ⏱️ 18.10.2021): +- [PyPi](https://pypi.org/project/pytorch-nlp) (πŸ“₯ 5.3K / month Β· πŸ“¦ 19 Β· ⏱️ 04.11.2019): ``` - pip install t5 + pip install pytorch-nlp ```
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pytorch-nlp (πŸ₯‰24 Β· ⭐ 2.2K) - Basic Utilities for PyTorch Natural Language Processing (NLP). BSD-3 +
scattertext (πŸ₯‰24 Β· ⭐ 2.2K) - Beautiful visualizations of how language differs among document.. Apache-2 -- [GitHub](https://github.com/PetrochukM/PyTorch-NLP) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 260 Β· πŸ“¦ 590 Β· πŸ“‹ 69 - 27% open Β· ⏱️ 04.07.2023): +- [GitHub](https://github.com/JasonKessler/scattertext) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 280 Β· πŸ“¦ 440 Β· πŸ“‹ 99 - 21% open Β· ⏱️ 05.09.2023): ``` - git clone https://github.com/PetrochukM/PyTorch-NLP + git clone https://github.com/JasonKessler/scattertext ``` -- [PyPi](https://pypi.org/project/pytorch-nlp) (πŸ“₯ 4.4K / month): +- [PyPi](https://pypi.org/project/scattertext) (πŸ“₯ 11K / month): ``` - pip install pytorch-nlp + pip install scattertext + ``` +- [Conda](https://anaconda.org/conda-forge/scattertext) (πŸ“₯ 85K Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge scattertext + ``` +
+
Texthero (πŸ₯‰23 Β· ⭐ 2.8K) - Text preprocessing, representation and visualization from zero to hero. MIT + +- [GitHub](https://github.com/jbesomi/texthero) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 240 Β· πŸ“₯ 120 Β· πŸ“‹ 140 - 55% open Β· ⏱️ 29.08.2023): + + ``` + git clone https://github.com/jbesomi/texthero + ``` +- [PyPi](https://pypi.org/project/texthero) (πŸ“₯ 13K / month Β· πŸ“¦ 6 Β· ⏱️ 01.07.2021): + ``` + pip install texthero ```
YouTokenToMe (πŸ₯‰23 Β· ⭐ 920 Β· πŸ’€) - Unsupervised text tokenizer focused on computational efficiency. MIT -- [GitHub](https://github.com/VKCOM/YouTokenToMe) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 78 Β· πŸ“¦ 550 Β· πŸ“‹ 63 - 57% open Β· ⏱️ 29.03.2023): +- [GitHub](https://github.com/VKCOM/YouTokenToMe) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 78 Β· πŸ“¦ 550 Β· πŸ“‹ 59 - 54% open Β· ⏱️ 29.03.2023): ``` git clone https://github.com/vkcom/youtokentome ``` -- [PyPi](https://pypi.org/project/youtokentome) (πŸ“₯ 35K / month Β· πŸ“¦ 23 Β· ⏱️ 12.02.2020): +- [PyPi](https://pypi.org/project/youtokentome) (πŸ“₯ 35K / month): ``` pip install youtokentome ``` @@ -2090,52 +2105,64 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we conda install -c conda-forge youtokentome ```
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detoxify (πŸ₯‰23 Β· ⭐ 740) - Trained models & code to predict toxic comments on all 3 Jigsaw.. Apache-2 +
detoxify (πŸ₯‰23 Β· ⭐ 750) - Trained models & code to predict toxic comments on all 3 Jigsaw.. Apache-2 - [GitHub](https://github.com/unitaryai/detoxify) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 98 Β· πŸ“₯ 310K Β· πŸ“¦ 440 Β· πŸ“‹ 58 - 58% open Β· ⏱️ 23.08.2023): ``` git clone https://github.com/unitaryai/detoxify ``` -- [PyPi](https://pypi.org/project/detoxify) (πŸ“₯ 25K / month Β· πŸ“¦ 10 Β· ⏱️ 19.12.2022): +- [PyPi](https://pypi.org/project/detoxify) (πŸ“₯ 24K / month Β· πŸ“¦ 10 Β· ⏱️ 19.12.2022): ``` pip install detoxify ```
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happy-transformer (πŸ₯‰23 Β· ⭐ 480 Β· πŸ“‰) - Happy Transformer makes it easy to fine-tune and.. Apache-2 huggingface +
happy-transformer (πŸ₯‰23 Β· ⭐ 480) - Happy Transformer makes it easy to fine-tune and.. Apache-2 huggingface -- [GitHub](https://github.com/EricFillion/happy-transformer) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 61 Β· πŸ“¦ 200 Β· πŸ“‹ 130 - 14% open Β· ⏱️ 10.08.2023): +- [GitHub](https://github.com/EricFillion/happy-transformer) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 61 Β· πŸ“¦ 210 Β· πŸ“‹ 130 - 14% open Β· ⏱️ 10.08.2023): ``` git clone https://github.com/EricFillion/happy-transformer ``` -- [PyPi](https://pypi.org/project/happytransformer) (πŸ“₯ 3.5K / month Β· πŸ“¦ 5 Β· ⏱️ 05.08.2023): +- [PyPi](https://pypi.org/project/happytransformer) (πŸ“₯ 3.3K / month Β· πŸ“¦ 5 Β· ⏱️ 05.08.2023): ``` pip install happytransformer ```
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Texthero (πŸ₯‰22 Β· ⭐ 2.8K) - Text preprocessing, representation and visualization from zero to hero. MIT +
Sockeye (πŸ₯‰22 Β· ⭐ 1.2K) - Sequence-to-sequence framework with a focus on Neural Machine.. Apache-2 -- [GitHub](https://github.com/jbesomi/texthero) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 240 Β· πŸ“₯ 120 Β· πŸ“‹ 120 - 46% open Β· ⏱️ 29.08.2023): +- [GitHub](https://github.com/awslabs/sockeye) (πŸ‘¨β€πŸ’» 60 Β· πŸ”€ 310 Β· πŸ“₯ 17 Β· πŸ“‹ 300 - 1% open Β· ⏱️ 17.10.2023): ``` - git clone https://github.com/jbesomi/texthero + git clone https://github.com/awslabs/sockeye ``` -- [PyPi](https://pypi.org/project/texthero) (πŸ“₯ 12K / month): +- [PyPi](https://pypi.org/project/sockeye) (πŸ“₯ 820 / month): ``` - pip install texthero + pip install sockeye ```
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Sockeye (πŸ₯‰22 Β· ⭐ 1.2K) - Sequence-to-sequence framework with a focus on Neural Machine.. Apache-2 +
NLP Architect (πŸ₯‰21 Β· ⭐ 2.9K Β· πŸ’€) - A model library for exploring state-of-the-art deep.. Apache-2 -- [GitHub](https://github.com/awslabs/sockeye) (πŸ‘¨β€πŸ’» 60 Β· πŸ”€ 310 Β· πŸ“₯ 17 Β· πŸ“‹ 300 - 1% open Β· ⏱️ 17.10.2023): +- [GitHub](https://github.com/IntelLabs/nlp-architect) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 440 Β· πŸ“¦ 9 Β· πŸ“‹ 130 - 11% open Β· ⏱️ 07.11.2022): ``` - git clone https://github.com/awslabs/sockeye + git clone https://github.com/IntelLabs/nlp-architect ``` -- [PyPi](https://pypi.org/project/sockeye) (πŸ“₯ 800 / month): +- [PyPi](https://pypi.org/project/nlp-architect) (πŸ“₯ 180 / month): ``` - pip install sockeye + pip install nlp-architect + ``` +
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fast-bert (πŸ₯‰21 Β· ⭐ 1.8K) - Super easy library for BERT based NLP models. Apache-2 + +- [GitHub](https://github.com/utterworks/fast-bert) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 330 Β· πŸ“‹ 250 - 61% open Β· ⏱️ 27.07.2023): + + ``` + git clone https://github.com/utterworks/fast-bert + ``` +- [PyPi](https://pypi.org/project/fast-bert) (πŸ“₯ 1.3K / month): + ``` + pip install fast-bert ```
finetune (πŸ₯‰21 Β· ⭐ 690) - Scikit-learn style model finetuning for NLP. MPL-2.0 @@ -2145,19 +2172,19 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/IndicoDataSolutions/finetune ``` -- [PyPi](https://pypi.org/project/finetune) (πŸ“₯ 86 / month): +- [PyPi](https://pypi.org/project/finetune) (πŸ“₯ 140 / month): ``` pip install finetune ```
small-text (πŸ₯‰21 Β· ⭐ 500) - Active Learning for Text Classification in Python. MIT -- [GitHub](https://github.com/webis-de/small-text) (πŸ‘¨β€πŸ’» 4 Β· πŸ”€ 53 Β· πŸ“¦ 23 Β· πŸ“‹ 42 - 26% open Β· ⏱️ 19.08.2023): +- [GitHub](https://github.com/webis-de/small-text) (πŸ‘¨β€πŸ’» 4 Β· πŸ”€ 53 Β· πŸ“¦ 24 Β· πŸ“‹ 43 - 25% open Β· ⏱️ 15.11.2023): ``` git clone https://github.com/webis-de/small-text ``` -- [PyPi](https://pypi.org/project/small-text) (πŸ“₯ 430 / month Β· ⏱️ 19.08.2023): +- [PyPi](https://pypi.org/project/small-text) (πŸ“₯ 560 / month Β· ⏱️ 19.08.2023): ``` pip install small-text ``` @@ -2173,59 +2200,35 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/bytedance/lightseq ``` -- [PyPi](https://pypi.org/project/lightseq) (πŸ“₯ 1.8K / month Β· πŸ“¦ 2 Β· ⏱️ 03.11.2022): +- [PyPi](https://pypi.org/project/lightseq) (πŸ“₯ 1.7K / month Β· πŸ“¦ 2 Β· ⏱️ 03.11.2022): ``` pip install lightseq ```
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NLP Architect (πŸ₯‰20 Β· ⭐ 2.9K Β· πŸ’€) - A model library for exploring state-of-the-art deep.. Apache-2 - -- [GitHub](https://github.com/IntelLabs/nlp-architect) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 450 Β· πŸ“¦ 9 Β· πŸ“‹ 130 - 16% open Β· ⏱️ 07.11.2022): - - ``` - git clone https://github.com/IntelLabs/nlp-architect - ``` -- [PyPi](https://pypi.org/project/nlp-architect) (πŸ“₯ 72 / month Β· ⏱️ 12.04.2020): - ``` - pip install nlp-architect - ``` -
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fast-bert (πŸ₯‰20 Β· ⭐ 1.8K) - Super easy library for BERT based NLP models. Apache-2 +
textaugment (πŸ₯‰19 Β· ⭐ 350) - TextAugment: Text Augmentation Library. MIT -- [GitHub](https://github.com/utterworks/fast-bert) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 330 Β· πŸ“‹ 250 - 61% open Β· ⏱️ 27.07.2023): +- [GitHub](https://github.com/dsfsi/textaugment) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 57 Β· πŸ“₯ 62 Β· πŸ“¦ 67 Β· πŸ“‹ 22 - 40% open Β· ⏱️ 12.09.2023): ``` - git clone https://github.com/utterworks/fast-bert + git clone https://github.com/dsfsi/textaugment ``` -- [PyPi](https://pypi.org/project/fast-bert) (πŸ“₯ 1.1K / month): +- [PyPi](https://pypi.org/project/textaugment) (πŸ“₯ 3.4K / month Β· πŸ“¦ 4 Β· ⏱️ 05.11.2020): ``` - pip install fast-bert + pip install textaugment ```
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UForm (πŸ₯‰19 Β· ⭐ 440) - Multi-Modal AI library for Multi-Lingual Text, Image, and Video.. Apache-2 +
UForm (πŸ₯‰18 Β· ⭐ 440) - Multi-Modal AI library for Multi-Lingual Text, Image, and Video.. Apache-2 - [GitHub](https://github.com/unum-cloud/uform) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 20 Β· πŸ“¦ 8 Β· ⏱️ 13.10.2023): ``` git clone https://github.com/unum-cloud/uform ``` -- [PyPi](https://pypi.org/project/uform) (πŸ“₯ 820 / month Β· ⏱️ 13.10.2023): +- [PyPi](https://pypi.org/project/uform) (πŸ“₯ 530 / month Β· ⏱️ 13.10.2023): ``` pip install uform ```
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textaugment (πŸ₯‰19 Β· ⭐ 350) - TextAugment: Text Augmentation Library. MIT - -- [GitHub](https://github.com/dsfsi/textaugment) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 56 Β· πŸ“₯ 62 Β· πŸ“¦ 66 Β· πŸ“‹ 22 - 40% open Β· ⏱️ 12.09.2023): - - ``` - git clone https://github.com/dsfsi/textaugment - ``` -- [PyPi](https://pypi.org/project/textaugment) (πŸ“₯ 3.5K / month Β· πŸ“¦ 4 Β· ⏱️ 05.11.2020): - ``` - pip install textaugment - ``` -
OpenNRE (πŸ₯‰16 Β· ⭐ 4.1K Β· πŸ’€) - An Open-Source Package for Neural Relation Extraction (NRE). MIT - [GitHub](https://github.com/thunlp/OpenNRE) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 1K Β· πŸ“‹ 360 - 3% open Β· ⏱️ 03.01.2023): @@ -2241,40 +2244,41 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/RUCAIBox/TextBox ``` -- [PyPi](https://pypi.org/project/textbox) (πŸ“₯ 2 / month Β· ⏱️ 15.04.2021): +- [PyPi](https://pypi.org/project/textbox) (πŸ“₯ 1 / month Β· ⏱️ 15.04.2021): ``` pip install textbox ```
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VizSeq (πŸ₯‰15 Β· ⭐ 440) - An Analysis Toolkit for Natural Language Generation (Translation,.. MIT +
VizSeq (πŸ₯‰13 Β· ⭐ 440) - An Analysis Toolkit for Natural Language Generation (Translation,.. MIT -- [GitHub](https://github.com/facebookresearch/vizseq) (πŸ‘¨β€πŸ’» 3 Β· πŸ”€ 57 Β· πŸ“¦ 7 Β· πŸ“‹ 16 - 43% open Β· ⏱️ 27.10.2023): +- [GitHub](https://github.com/facebookresearch/vizseq) (πŸ‘¨β€πŸ’» 3 Β· πŸ”€ 57 Β· πŸ“¦ 7 Β· πŸ“‹ 15 - 40% open Β· ⏱️ 27.10.2023): ``` git clone https://github.com/facebookresearch/vizseq ``` -- [PyPi](https://pypi.org/project/vizseq) (πŸ“₯ 81 / month Β· ⏱️ 07.08.2020): +- [PyPi](https://pypi.org/project/vizseq) (πŸ“₯ 74 / month): ``` pip install vizseq ```
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Show 42 hidden projects... +
Show 43 hidden projects... +- flair (πŸ₯‡37 Β· ⭐ 13K Β· πŸ“‰) - A very simple framework for state-of-the-art Natural.. ❗Unlicensed - ChatterBot (πŸ₯ˆ35 Β· ⭐ 14K Β· πŸ’€) - ChatterBot is a machine learning, conversational dialog engine.. BSD-3 - fuzzywuzzy (πŸ₯ˆ33 Β· ⭐ 9K Β· πŸ’€) - Fuzzy String Matching in Python. ❗️GPL-2.0 - nlpaug (πŸ₯ˆ29 Β· ⭐ 4.2K Β· πŸ’€) - Data augmentation for NLP. MIT - ftfy (πŸ₯ˆ28 Β· ⭐ 3.6K Β· πŸ’€) - Fixes mojibake and other glitches in Unicode text, after the fact. MIT -- langid (πŸ₯ˆ28 Β· ⭐ 2.2K Β· πŸ’€) - Stand-alone language identification system. BSD-3 - textacy (πŸ₯ˆ28 Β· ⭐ 2.1K Β· πŸ’€) - NLP, before and after spaCy. ❗Unlicensed - underthesea (πŸ₯ˆ28 Β· ⭐ 1.3K) - Underthesea - Vietnamese NLP Toolkit. ❗️GPL-3.0 - vaderSentiment (πŸ₯‰27 Β· ⭐ 4.1K Β· πŸ’€) - VADER Sentiment Analysis. VADER (Valence Aware Dictionary.. MIT +- polyglot (πŸ₯‰27 Β· ⭐ 2.2K Β· πŸ’€) - Multilingual text (NLP) processing toolkit. ❗️GPL-3.0 - FARM (πŸ₯‰27 Β· ⭐ 1.7K Β· πŸ’€) - Fast & easy transfer learning for NLP. Harvesting language.. Apache-2 - flashtext (πŸ₯‰26 Β· ⭐ 5.5K Β· πŸ’€) - Extract Keywords from sentence or Replace keywords in sentences. MIT -- polyglot (πŸ₯‰26 Β· ⭐ 2.2K Β· πŸ’€) - Multilingual text (NLP) processing toolkit. ❗️GPL-3.0 - neuralcoref (πŸ₯‰25 Β· ⭐ 2.8K Β· πŸ’€) - Fast Coreference Resolution in spaCy with Neural Networks. MIT -- whoosh (πŸ₯‰25 Β· ⭐ 470 Β· πŸ’€) - Pure-Python full-text search library. ❗️BSD-1-Clause +- whoosh (πŸ₯‰25 Β· ⭐ 480 Β· πŸ’€) - Pure-Python full-text search library. ❗️BSD-1-Clause - textgenrnn (πŸ₯‰24 Β· ⭐ 4.9K Β· πŸ’€) - Easily train your own text-generating neural network of any.. MIT -- pySBD (πŸ₯‰24 Β· ⭐ 670 Β· πŸ’€) - pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence.. MIT +- langid (πŸ₯‰24 Β· ⭐ 2.2K Β· πŸ’€) - Stand-alone language identification system. ❗Unlicensed +- pySBD (πŸ₯‰24 Β· ⭐ 680 Β· πŸ’€) - pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence.. MIT - Snips NLU (πŸ₯‰23 Β· ⭐ 3.8K Β· πŸ’€) - Snips Python library to extract meaning from text. Apache-2 - MatchZoo (πŸ₯‰23 Β· ⭐ 3.8K Β· πŸ’€) - Facilitating the design, comparison and sharing of deep.. Apache-2 - Kashgari (πŸ₯‰23 Β· ⭐ 2.4K Β· πŸ’€) - Kashgari is a production-level NLP Transfer learning.. Apache-2 @@ -2287,12 +2291,12 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we - anaGo (πŸ₯‰21 Β· ⭐ 1.5K Β· πŸ’€) - Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition,.. MIT - pyfasttext (πŸ₯‰20 Β· ⭐ 230 Β· πŸ’€) - Yet another Python binding for fastText. ❗️GPL-3.0 - numerizer (πŸ₯‰20 Β· ⭐ 210) - A Python module to convert natural language numerics into ints and.. MIT -- fastT5 (πŸ₯‰18 Β· ⭐ 510 Β· πŸ’€) - boost inference speed of T5 models by 5x & reduce the model size.. Apache-2 +- fastT5 (πŸ₯‰19 Β· ⭐ 510 Β· πŸ’€) - boost inference speed of T5 models by 5x & reduce the model size.. Apache-2 - Camphr (πŸ₯‰18 Β· ⭐ 340 Β· πŸ’€) - Camphr - NLP libary for creating pipeline components. Apache-2 spacy - NeuroNER (πŸ₯‰17 Β· ⭐ 1.7K Β· πŸ’€) - Named-entity recognition using neural networks. Easy-to-use and.. MIT - nboost (πŸ₯‰17 Β· ⭐ 670 Β· πŸ’€) - NBoost is a scalable, search-api-boosting platform for deploying.. Apache-2 - DeepMatcher (πŸ₯‰17 Β· ⭐ 510 Β· πŸ’€) - Python package for performing Entity and Text Matching using.. BSD-3 -- textpipe (πŸ₯‰17 Β· ⭐ 300 Β· πŸ’€) - Textpipe: clean and extract metadata from text. MIT +- textpipe (πŸ₯‰16 Β· ⭐ 300 Β· πŸ’€) - Textpipe: clean and extract metadata from text. MIT - skift (πŸ₯‰16 Β· ⭐ 230 Β· πŸ’€) - scikit-learn wrappers for Python fastText. MIT - BLINK (πŸ₯‰15 Β· ⭐ 1.1K Β· πŸ’€) - Entity Linker solution. MIT - Translate (πŸ₯‰15 Β· ⭐ 810 Β· πŸ’€) - Translate - a PyTorch Language Library. BSD-3 @@ -2301,7 +2305,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we - NeuralQA (πŸ₯‰13 Β· ⭐ 220 Β· πŸ’€) - NeuralQA: A Usable Library for Question Answering on Large Datasets.. MIT - textvec (πŸ₯‰13 Β· ⭐ 190 Β· πŸ’€) - Text vectorization tool to outperform TFIDF for classification.. MIT - spacy-dbpedia-spotlight (πŸ₯‰12 Β· ⭐ 92 Β· πŸ’€) - A spaCy wrapper for DBpedia Spotlight. MIT spacy -- Headliner (πŸ₯‰10 Β· ⭐ 230 Β· πŸ’€) - Easy training and deployment of seq2seq models. ❗Unlicensed +- Headliner (πŸ₯‰11 Β· ⭐ 230 Β· πŸ’€) - Easy training and deployment of seq2seq models. ❗Unlicensed

@@ -2313,7 +2317,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
Pillow (πŸ₯‡47 Β· ⭐ 11K) - Python Imaging Library (Fork). ❗️PIL -- [GitHub](https://github.com/python-pillow/Pillow) (πŸ‘¨β€πŸ’» 450 Β· πŸ”€ 1.9K Β· πŸ“¦ 1.4M Β· πŸ“‹ 2.9K - 2% open Β· ⏱️ 07.11.2023): +- [GitHub](https://github.com/python-pillow/Pillow) (πŸ‘¨β€πŸ’» 450 Β· πŸ”€ 1.9K Β· πŸ“¦ 1.4M Β· πŸ“‹ 2.9K - 2% open Β· ⏱️ 14.11.2023): ``` git clone https://github.com/python-pillow/Pillow @@ -2327,30 +2331,30 @@ _Libraries for image & video processing, manipulation, and augmentation as well conda install -c conda-forge pillow ```
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torchvision (πŸ₯‡42 Β· ⭐ 15K Β· πŸ“ˆ) - Datasets, Transforms and Models specific to Computer Vision. BSD-3 +
torchvision (πŸ₯‡42 Β· ⭐ 15K) - Datasets, Transforms and Models specific to Computer Vision. BSD-3 -- [GitHub](https://github.com/pytorch/vision) (πŸ‘¨β€πŸ’» 560 Β· πŸ”€ 6.8K Β· πŸ“₯ 33K Β· πŸ“¦ 21 Β· πŸ“‹ 3.2K - 29% open Β· ⏱️ 08.11.2023): +- [GitHub](https://github.com/pytorch/vision) (πŸ‘¨β€πŸ’» 560 Β· πŸ”€ 6.8K Β· πŸ“₯ 33K Β· πŸ“¦ 21 Β· πŸ“‹ 3.2K - 29% open Β· ⏱️ 14.11.2023): ``` git clone https://github.com/pytorch/vision ``` -- [PyPi](https://pypi.org/project/torchvision) (πŸ“₯ 9.5M / month Β· πŸ“¦ 4.7K Β· ⏱️ 04.10.2023): +- [PyPi](https://pypi.org/project/torchvision) (πŸ“₯ 9.3M / month Β· πŸ“¦ 4.8K Β· ⏱️ 15.11.2023): ``` pip install torchvision ``` -- [Conda](https://anaconda.org/conda-forge/torchvision) (πŸ“₯ 920K Β· ⏱️ 02.10.2023): +- [Conda](https://anaconda.org/conda-forge/torchvision) (πŸ“₯ 920K Β· ⏱️ 13.11.2023): ``` conda install -c conda-forge torchvision ```
PyTorch Image Models (πŸ₯‡41 Β· ⭐ 28K) - PyTorch image models, scripts, pretrained weights --.. Apache-2 -- [GitHub](https://github.com/huggingface/pytorch-image-models) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 4.4K Β· πŸ“₯ 5.7M Β· πŸ“¦ 18K Β· πŸ“‹ 820 - 8% open Β· ⏱️ 08.11.2023): +- [GitHub](https://github.com/huggingface/pytorch-image-models) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 4.3K Β· πŸ“₯ 5.8M Β· πŸ“¦ 19K Β· πŸ“‹ 820 - 8% open Β· ⏱️ 08.11.2023): ``` git clone https://github.com/rwightman/pytorch-image-models ``` -- [PyPi](https://pypi.org/project/timm) (πŸ“₯ 3.5M / month Β· πŸ“¦ 340 Β· ⏱️ 04.11.2023): +- [PyPi](https://pypi.org/project/timm) (πŸ“₯ 3.5M / month): ``` pip install timm ``` @@ -2361,19 +2365,19 @@ _Libraries for image & video processing, manipulation, and augmentation as well
MMDetection (πŸ₯‡39 Β· ⭐ 26K) - OpenMMLab Detection Toolbox and Benchmark. Apache-2 -- [GitHub](https://github.com/open-mmlab/mmdetection) (πŸ‘¨β€πŸ’» 440 Β· πŸ”€ 8.1K Β· πŸ“¦ 1.9K Β· πŸ“‹ 7.6K - 13% open Β· ⏱️ 12.10.2023): +- [GitHub](https://github.com/open-mmlab/mmdetection) (πŸ‘¨β€πŸ’» 470 Β· πŸ”€ 9K Β· πŸ“¦ 1.9K Β· πŸ“‹ 7.8K - 15% open Β· ⏱️ 12.10.2023): ``` git clone https://github.com/open-mmlab/mmdetection ``` -- [PyPi](https://pypi.org/project/mmdet) (πŸ“₯ 160K / month): +- [PyPi](https://pypi.org/project/mmdet) (πŸ“₯ 170K / month Β· πŸ“¦ 31 Β· ⏱️ 12.10.2023): ``` pip install mmdet ```
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Kornia (πŸ₯‡38 Β· ⭐ 8.8K) - Computer Vision and Robotics Library for AI. Apache-2 +
Kornia (πŸ₯‡38 Β· ⭐ 8.8K) - Geometric Computer Vision Library for AI. Apache-2 -- [GitHub](https://github.com/kornia/kornia) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 880 Β· πŸ“₯ 860 Β· πŸ“¦ 6.9K Β· πŸ“‹ 830 - 27% open Β· ⏱️ 07.11.2023): +- [GitHub](https://github.com/kornia/kornia) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 880 Β· πŸ“₯ 870 Β· πŸ“¦ 7.1K Β· πŸ“‹ 830 - 27% open Β· ⏱️ 14.11.2023): ``` git clone https://github.com/kornia/kornia @@ -2389,12 +2393,12 @@ _Libraries for image & video processing, manipulation, and augmentation as well
imageio (πŸ₯‡38 Β· ⭐ 1.3K) - Python library for reading and writing image data. BSD-2 -- [GitHub](https://github.com/imageio/imageio) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 270 Β· πŸ“₯ 880 Β· πŸ“¦ 110K Β· πŸ“‹ 580 - 16% open Β· ⏱️ 07.11.2023): +- [GitHub](https://github.com/imageio/imageio) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 270 Β· πŸ“₯ 890 Β· πŸ“¦ 110K Β· πŸ“‹ 580 - 16% open Β· ⏱️ 07.11.2023): ``` git clone https://github.com/imageio/imageio ``` -- [PyPi](https://pypi.org/project/imageio) (πŸ“₯ 18M / month Β· πŸ“¦ 3K Β· ⏱️ 06.11.2023): +- [PyPi](https://pypi.org/project/imageio) (πŸ“₯ 17M / month Β· πŸ“¦ 3K Β· ⏱️ 06.11.2023): ``` pip install imageio ``` @@ -2403,21 +2407,9 @@ _Libraries for image & video processing, manipulation, and augmentation as well conda install -c conda-forge imageio ```
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InsightFace (πŸ₯ˆ37 Β· ⭐ 19K) - State-of-the-art 2D and 3D Face Analysis Project. MIT - -- [GitHub](https://github.com/deepinsight/insightface) (πŸ‘¨β€πŸ’» 57 Β· πŸ”€ 4.8K Β· πŸ“₯ 940K Β· πŸ“¦ 1.2K Β· πŸ“‹ 2.3K - 42% open Β· ⏱️ 10.09.2023): - - ``` - git clone https://github.com/deepinsight/insightface - ``` -- [PyPi](https://pypi.org/project/insightface) (πŸ“₯ 460K / month Β· πŸ“¦ 11 Β· ⏱️ 17.12.2022): - ``` - pip install insightface - ``` -
MoviePy (πŸ₯ˆ37 Β· ⭐ 11K) - Video editing with Python. MIT -- [GitHub](https://github.com/Zulko/moviepy) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 1.4K Β· πŸ“¦ 30K Β· πŸ“‹ 1.4K - 27% open Β· ⏱️ 11.07.2023): +- [GitHub](https://github.com/Zulko/moviepy) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 1.4K Β· πŸ“¦ 31K Β· πŸ“‹ 1.4K - 27% open Β· ⏱️ 11.07.2023): ``` git clone https://github.com/Zulko/moviepy @@ -2431,14 +2423,26 @@ _Libraries for image & video processing, manipulation, and augmentation as well conda install -c conda-forge moviepy ```
+
InsightFace (πŸ₯ˆ36 Β· ⭐ 19K) - State-of-the-art 2D and 3D Face Analysis Project. MIT + +- [GitHub](https://github.com/deepinsight/insightface) (πŸ‘¨β€πŸ’» 57 Β· πŸ”€ 4.8K Β· πŸ“₯ 1M Β· πŸ“¦ 1.2K Β· πŸ“‹ 2.3K - 42% open Β· ⏱️ 10.09.2023): + + ``` + git clone https://github.com/deepinsight/insightface + ``` +- [PyPi](https://pypi.org/project/insightface) (πŸ“₯ 480K / month Β· πŸ“¦ 11 Β· ⏱️ 17.12.2022): + ``` + pip install insightface + ``` +
Albumentations (πŸ₯ˆ36 Β· ⭐ 13K) - Fast image augmentation library and an easy-to-use wrapper.. MIT -- [GitHub](https://github.com/albumentations-team/albumentations) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 1.5K Β· πŸ“¦ 19K Β· πŸ“‹ 800 - 45% open Β· ⏱️ 05.11.2023): +- [GitHub](https://github.com/albumentations-team/albumentations) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 1.5K Β· πŸ“¦ 19K Β· πŸ“‹ 800 - 46% open Β· ⏱️ 05.11.2023): ``` git clone https://github.com/albumentations-team/albumentations ``` -- [PyPi](https://pypi.org/project/albumentations) (πŸ“₯ 1.1M / month): +- [PyPi](https://pypi.org/project/albumentations) (πŸ“₯ 1.1M / month Β· πŸ“¦ 300 Β· ⏱️ 10.06.2023): ``` pip install albumentations ``` @@ -2449,12 +2453,12 @@ _Libraries for image & video processing, manipulation, and augmentation as well
Wand (πŸ₯ˆ36 Β· ⭐ 1.3K) - The ctypes-based simple ImageMagick binding for Python. MIT -- [GitHub](https://github.com/emcconville/wand) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 200 Β· πŸ“₯ 29K Β· πŸ“¦ 18K Β· πŸ“‹ 410 - 5% open Β· ⏱️ 05.11.2023): +- [GitHub](https://github.com/emcconville/wand) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 200 Β· πŸ“₯ 30K Β· πŸ“¦ 18K Β· πŸ“‹ 410 - 5% open Β· ⏱️ 11.11.2023): ``` git clone https://github.com/emcconville/wand ``` -- [PyPi](https://pypi.org/project/wand) (πŸ“₯ 840K / month Β· πŸ“¦ 710 Β· ⏱️ 03.11.2023): +- [PyPi](https://pypi.org/project/wand) (πŸ“₯ 870K / month Β· πŸ“¦ 710 Β· ⏱️ 03.11.2023): ``` pip install wand ``` @@ -2463,9 +2467,9 @@ _Libraries for image & video processing, manipulation, and augmentation as well conda install -c conda-forge wand ```
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detectron2 (πŸ₯ˆ34 Β· ⭐ 27K) - Detectron2 is a platform for object detection, segmentation.. Apache-2 +
detectron2 (πŸ₯ˆ33 Β· ⭐ 27K) - Detectron2 is a platform for object detection, segmentation.. Apache-2 -- [GitHub](https://github.com/facebookresearch/detectron2) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 6.7K Β· πŸ“¦ 1.4K Β· πŸ“‹ 3.4K - 10% open Β· ⏱️ 06.11.2023): +- [GitHub](https://github.com/facebookresearch/detectron2) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 6.7K Β· πŸ“¦ 1.5K Β· πŸ“‹ 3.4K - 10% open Β· ⏱️ 06.11.2023): ``` git clone https://github.com/facebookresearch/detectron2 @@ -2479,42 +2483,70 @@ _Libraries for image & video processing, manipulation, and augmentation as well conda install -c conda-forge detectron2 ```
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PaddleSeg (πŸ₯ˆ33 Β· ⭐ 7.7K) - Easy-to-use image segmentation library with awesome pre-.. Apache-2 +
deepface (πŸ₯ˆ33 Β· ⭐ 8.1K) - A Lightweight Face Recognition and Facial Attribute Analysis (Age,.. MIT -- [GitHub](https://github.com/PaddlePaddle/PaddleSeg) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 1.6K Β· πŸ“¦ 1K Β· πŸ“‹ 1.9K - 17% open Β· ⏱️ 02.11.2023): +- [GitHub](https://github.com/serengil/deepface) (πŸ‘¨β€πŸ’» 47 Β· πŸ”€ 1.5K Β· πŸ“¦ 2.1K Β· πŸ“‹ 800 - 1% open Β· ⏱️ 25.10.2023): + + ``` + git clone https://github.com/serengil/deepface + ``` +- [PyPi](https://pypi.org/project/deepface) (πŸ“₯ 140K / month Β· πŸ“¦ 14 Β· ⏱️ 24.01.2023): + ``` + pip install deepface + ``` +
+
PaddleSeg (πŸ₯ˆ33 Β· ⭐ 7.8K) - Easy-to-use image segmentation library with awesome pre-.. Apache-2 + +- [GitHub](https://github.com/PaddlePaddle/PaddleSeg) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 1.6K Β· πŸ“¦ 1.1K Β· πŸ“‹ 1.9K - 17% open Β· ⏱️ 15.11.2023): ``` git clone https://github.com/PaddlePaddle/PaddleSeg ``` -- [PyPi](https://pypi.org/project/paddleseg) (πŸ“₯ 2.3K / month Β· πŸ“¦ 4 Β· ⏱️ 30.11.2022): +- [PyPi](https://pypi.org/project/paddleseg) (πŸ“₯ 2.2K / month Β· πŸ“¦ 4 Β· ⏱️ 30.11.2022): ``` pip install paddleseg ```
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deepface (πŸ₯ˆ32 Β· ⭐ 8.1K) - A Lightweight Face Recognition and Facial Attribute Analysis (Age,.. MIT +
opencv-python (πŸ₯ˆ33 Β· ⭐ 3.8K Β· πŸ“ˆ) - Automated CI toolchain to produce precompiled opencv-python,.. MIT -- [GitHub](https://github.com/serengil/deepface) (πŸ‘¨β€πŸ’» 47 Β· πŸ”€ 1.5K Β· πŸ“¦ 2.1K Β· πŸ“‹ 800 - 1% open Β· ⏱️ 25.10.2023): +- [GitHub](https://github.com/opencv/opencv-python) (πŸ‘¨β€πŸ’» 48 Β· πŸ”€ 740 Β· πŸ“‹ 720 - 10% open Β· ⏱️ 18.10.2023): ``` - git clone https://github.com/serengil/deepface + git clone https://github.com/opencv/opencv-python ``` -- [PyPi](https://pypi.org/project/deepface) (πŸ“₯ 130K / month Β· πŸ“¦ 14 Β· ⏱️ 24.01.2023): +- [PyPi](https://pypi.org/project/opencv-python) (πŸ“₯ 11M / month Β· πŸ“¦ 11K Β· ⏱️ 28.09.2023): ``` - pip install deepface + pip install opencv-python ```
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PaddleDetection (πŸ₯ˆ31 Β· ⭐ 11K) - Object Detection toolkit based on PaddlePaddle. It.. Apache-2 +
PaddleDetection (πŸ₯ˆ32 Β· ⭐ 11K) - Object Detection toolkit based on PaddlePaddle. It.. Apache-2 -- [GitHub](https://github.com/PaddlePaddle/PaddleDetection) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 2.7K Β· πŸ“¦ 120 Β· πŸ“‹ 5.1K - 24% open Β· ⏱️ 06.11.2023): +- [GitHub](https://github.com/PaddlePaddle/PaddleDetection) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 2.7K Β· πŸ“¦ 120 Β· πŸ“‹ 5.1K - 24% open Β· ⏱️ 27.09.2023): ``` git clone https://github.com/PaddlePaddle/PaddleDetection ``` -- [PyPi](https://pypi.org/project/paddledet) (πŸ“₯ 680 / month Β· πŸ“¦ 1 Β· ⏱️ 19.09.2022): +- [PyPi](https://pypi.org/project/paddledet) (πŸ“₯ 710 / month Β· πŸ“¦ 1 Β· ⏱️ 19.09.2022): ``` pip install paddledet ```
+
imageai (πŸ₯ˆ31 Β· ⭐ 8.1K) - A python library built to empower developers to build applications and.. MIT + +- [GitHub](https://github.com/OlafenwaMoses/ImageAI) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 2.1K Β· πŸ“₯ 890K Β· πŸ“¦ 1.5K Β· πŸ“‹ 740 - 39% open Β· ⏱️ 26.08.2023): + + ``` + git clone https://github.com/OlafenwaMoses/ImageAI + ``` +- [PyPi](https://pypi.org/project/imageai) (πŸ“₯ 7.9K / month Β· πŸ“¦ 18 Β· ⏱️ 02.01.2023): + ``` + pip install imageai + ``` +- [Conda](https://anaconda.org/conda-forge/imageai) (πŸ“₯ 6.6K Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge imageai + ``` +
ImageHash (πŸ₯ˆ31 Β· ⭐ 2.9K) - A Python Perceptual Image Hashing Module. BSD-2 - [GitHub](https://github.com/JohannesBuchner/imagehash) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 320 Β· πŸ“¦ 11K Β· πŸ“‹ 130 - 7% open Β· ⏱️ 24.10.2023): @@ -2522,7 +2554,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/JohannesBuchner/imagehash ``` -- [PyPi](https://pypi.org/project/ImageHash) (πŸ“₯ 1.5M / month Β· πŸ“¦ 380 Β· ⏱️ 28.09.2022): +- [PyPi](https://pypi.org/project/ImageHash) (πŸ“₯ 1.4M / month Β· πŸ“¦ 380 Β· ⏱️ 28.09.2022): ``` pip install ImageHash ``` @@ -2533,7 +2565,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
doctr (πŸ₯ˆ31 Β· ⭐ 2.3K) - docTR (Document Text Recognition) - a seamless, high-.. Apache-2 -- [GitHub](https://github.com/mindee/doctr) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 280 Β· πŸ“₯ 2M Β· πŸ“¦ 210 Β· πŸ“‹ 280 - 14% open Β· ⏱️ 06.11.2023): +- [GitHub](https://github.com/mindee/doctr) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 280 Β· πŸ“₯ 2M Β· πŸ“¦ 210 Β· πŸ“‹ 280 - 14% open Β· ⏱️ 15.11.2023): ``` git clone https://github.com/mindee/doctr @@ -2545,59 +2577,43 @@ _Libraries for image & video processing, manipulation, and augmentation as well
vit-pytorch (πŸ₯ˆ30 Β· ⭐ 16K) - Implementation of Vision Transformer, a simple way to achieve.. MIT -- [GitHub](https://github.com/lucidrains/vit-pytorch) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 2.5K Β· πŸ“¦ 340 Β· πŸ“‹ 240 - 46% open Β· ⏱️ 25.10.2023): +- [GitHub](https://github.com/lucidrains/vit-pytorch) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 2.6K Β· πŸ“¦ 350 Β· πŸ“‹ 240 - 46% open Β· ⏱️ 15.11.2023): ``` git clone https://github.com/lucidrains/vit-pytorch ``` -- [PyPi](https://pypi.org/project/vit-pytorch) (πŸ“₯ 20K / month Β· πŸ“¦ 6 Β· ⏱️ 25.10.2023): +- [PyPi](https://pypi.org/project/vit-pytorch) (πŸ“₯ 22K / month Β· πŸ“¦ 6 Β· ⏱️ 15.11.2023): ``` pip install vit-pytorch ```
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imageai (πŸ₯ˆ30 Β· ⭐ 8.1K) - A python library built to empower developers to build applications and.. MIT - -- [GitHub](https://github.com/OlafenwaMoses/ImageAI) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 2.1K Β· πŸ“₯ 890K Β· πŸ“¦ 1.5K Β· πŸ“‹ 730 - 38% open Β· ⏱️ 26.08.2023): - - ``` - git clone https://github.com/OlafenwaMoses/ImageAI - ``` -- [PyPi](https://pypi.org/project/imageai) (πŸ“₯ 7.7K / month): - ``` - pip install imageai - ``` -- [Conda](https://anaconda.org/conda-forge/imageai) (πŸ“₯ 6.6K Β· ⏱️ 16.06.2023): - ``` - conda install -c conda-forge imageai - ``` -
Face Alignment (πŸ₯ˆ30 Β· ⭐ 6.6K) - 2D and 3D Face alignment library build using pytorch. BSD-3 -- [GitHub](https://github.com/1adrianb/face-alignment) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 1.3K Β· πŸ“¦ 21 Β· πŸ“‹ 310 - 24% open Β· ⏱️ 16.08.2023): +- [GitHub](https://github.com/1adrianb/face-alignment) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 1.3K Β· πŸ“¦ 21 Β· πŸ“‹ 300 - 22% open Β· ⏱️ 16.08.2023): ``` git clone https://github.com/1adrianb/face-alignment ``` -- [PyPi](https://pypi.org/project/face-alignment) (πŸ“₯ 68K / month Β· πŸ“¦ 10 Β· ⏱️ 17.08.2023): +- [PyPi](https://pypi.org/project/face-alignment) (πŸ“₯ 67K / month): ``` pip install face-alignment ```
lightly (πŸ₯ˆ30 Β· ⭐ 2.6K) - A python library for self-supervised learning on images. MIT -- [GitHub](https://github.com/lightly-ai/lightly) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 220 Β· πŸ“¦ 180 Β· πŸ“‹ 480 - 18% open Β· ⏱️ 07.11.2023): +- [GitHub](https://github.com/lightly-ai/lightly) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 220 Β· πŸ“¦ 180 Β· πŸ“‹ 480 - 19% open Β· ⏱️ 15.11.2023): ``` git clone https://github.com/lightly-ai/lightly ``` -- [PyPi](https://pypi.org/project/lightly) (πŸ“₯ 48K / month Β· πŸ“¦ 5 Β· ⏱️ 04.10.2023): +- [PyPi](https://pypi.org/project/lightly) (πŸ“₯ 38K / month Β· πŸ“¦ 5 Β· ⏱️ 04.10.2023): ``` pip install lightly ```
sahi (πŸ₯‰29 Β· ⭐ 3.2K) - Framework agnostic sliced/tiled inference + interactive ui + error analysis.. MIT -- [GitHub](https://github.com/obss/sahi) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 460 Β· πŸ“₯ 20K Β· πŸ“¦ 710 Β· ⏱️ 06.11.2023): +- [GitHub](https://github.com/obss/sahi) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 470 Β· πŸ“₯ 20K Β· πŸ“¦ 730 Β· ⏱️ 06.11.2023): ``` git clone https://github.com/obss/sahi @@ -2623,14 +2639,14 @@ _Libraries for image & video processing, manipulation, and augmentation as well pip install vidgear ```
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CellProfiler (πŸ₯‰29 Β· ⭐ 810) - An open-source application for biological image analysis. BSD-3 +
CellProfiler (πŸ₯‰29 Β· ⭐ 820) - An open-source application for biological image analysis. BSD-3 -- [GitHub](https://github.com/CellProfiler/CellProfiler) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 360 Β· πŸ“₯ 6.1K Β· πŸ“¦ 20 Β· πŸ“‹ 3.2K - 8% open Β· ⏱️ 26.09.2023): +- [GitHub](https://github.com/CellProfiler/CellProfiler) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 360 Β· πŸ“₯ 6.1K Β· πŸ“¦ 20 Β· πŸ“‹ 3.2K - 8% open Β· ⏱️ 14.11.2023): ``` git clone https://github.com/CellProfiler/CellProfiler ``` -- [PyPi](https://pypi.org/project/cellprofiler) (πŸ“₯ 570 / month Β· πŸ“¦ 1 Β· ⏱️ 14.08.2023): +- [PyPi](https://pypi.org/project/cellprofiler) (πŸ“₯ 630 / month Β· πŸ“¦ 1 Β· ⏱️ 14.08.2023): ``` pip install cellprofiler ``` @@ -2642,21 +2658,21 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/dmlc/gluon-cv ``` -- [PyPi](https://pypi.org/project/gluoncv) (πŸ“₯ 48K / month): +- [PyPi](https://pypi.org/project/gluoncv) (πŸ“₯ 44K / month): ``` pip install gluoncv ```
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opencv-python (πŸ₯‰27 Β· ⭐ 3.8K Β· πŸ“‰) - Automated CI toolchain to produce precompiled opencv-python,.. MIT +
Augmentor (πŸ₯‰27 Β· ⭐ 5K Β· πŸ’€) - Image augmentation library in Python for machine learning. MIT -- [GitHub](https://github.com/opencv/opencv-python) (πŸ‘¨β€πŸ’» 48 Β· πŸ”€ 730 Β· πŸ“‹ 710 - 9% open Β· ⏱️ 18.10.2023): +- [GitHub](https://github.com/mdbloice/Augmentor) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 870 Β· πŸ“¦ 660 Β· πŸ“‹ 210 - 64% open Β· ⏱️ 29.03.2023): ``` - git clone https://github.com/opencv/opencv-python + git clone https://github.com/mdbloice/Augmentor ``` -- [PyPi](https://pypi.org/project/opencv-python) (πŸ“₯ 12M / month): +- [PyPi](https://pypi.org/project/Augmentor) (πŸ“₯ 11K / month Β· πŸ“¦ 29 Β· ⏱️ 27.04.2022): ``` - pip install opencv-python + pip install Augmentor ```
mahotas (πŸ₯‰27 Β· ⭐ 810) - Computer Vision in Python. MIT @@ -2666,7 +2682,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/luispedro/mahotas ``` -- [PyPi](https://pypi.org/project/mahotas) (πŸ“₯ 13K / month Β· πŸ“¦ 130 Β· ⏱️ 28.06.2022): +- [PyPi](https://pypi.org/project/mahotas) (πŸ“₯ 14K / month Β· πŸ“¦ 130 Β· ⏱️ 28.06.2022): ``` pip install mahotas ``` @@ -2677,7 +2693,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
facenet-pytorch (πŸ₯‰26 Β· ⭐ 3.8K) - Pretrained Pytorch face detection (MTCNN) and facial.. MIT -- [GitHub](https://github.com/timesler/facenet-pytorch) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 800 Β· πŸ“₯ 710K Β· πŸ“¦ 1.4K Β· πŸ“‹ 170 - 36% open Β· ⏱️ 02.11.2023): +- [GitHub](https://github.com/timesler/facenet-pytorch) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 800 Β· πŸ“₯ 720K Β· πŸ“¦ 1.4K Β· πŸ“‹ 170 - 36% open Β· ⏱️ 02.11.2023): ``` git clone https://github.com/timesler/facenet-pytorch @@ -2694,31 +2710,19 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/facebookresearch/pytorchvideo ``` -- [PyPi](https://pypi.org/project/pytorchvideo) (πŸ“₯ 80K / month Β· πŸ“¦ 7 Β· ⏱️ 20.01.2022): +- [PyPi](https://pypi.org/project/pytorchvideo) (πŸ“₯ 79K / month Β· πŸ“¦ 7 Β· ⏱️ 20.01.2022): ``` pip install pytorchvideo ```
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Augmentor (πŸ₯‰25 Β· ⭐ 5K Β· πŸ’€) - Image augmentation library in Python for machine learning. MIT +
Image Deduplicator (πŸ₯‰25 Β· ⭐ 4.8K Β· πŸ’€) - Finding duplicate images made easy!. Apache-2 -- [GitHub](https://github.com/mdbloice/Augmentor) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 840 Β· πŸ“¦ 660 Β· πŸ“‹ 190 - 61% open Β· ⏱️ 29.03.2023): - - ``` - git clone https://github.com/mdbloice/Augmentor - ``` -- [PyPi](https://pypi.org/project/Augmentor) (πŸ“₯ 11K / month): - ``` - pip install Augmentor - ``` -
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Image Deduplicator (πŸ₯‰25 Β· ⭐ 4.7K Β· πŸ’€) - Finding duplicate images made easy!. Apache-2 - -- [GitHub](https://github.com/idealo/imagededup) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 430 Β· πŸ“¦ 67 Β· πŸ“‹ 120 - 23% open Β· ⏱️ 28.04.2023): +- [GitHub](https://github.com/idealo/imagededup) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 430 Β· πŸ“¦ 68 Β· πŸ“‹ 120 - 24% open Β· ⏱️ 28.04.2023): ``` git clone https://github.com/idealo/imagededup ``` -- [PyPi](https://pypi.org/project/imagededup) (πŸ“₯ 11K / month): +- [PyPi](https://pypi.org/project/imagededup) (πŸ“₯ 13K / month): ``` pip install imagededup ``` @@ -2730,38 +2734,38 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/tryolabs/norfair ``` -- [PyPi](https://pypi.org/project/norfair) (πŸ“₯ 6.1K / month Β· πŸ“¦ 3 Β· ⏱️ 30.05.2022): +- [PyPi](https://pypi.org/project/norfair) (πŸ“₯ 5.8K / month Β· πŸ“¦ 3 Β· ⏱️ 30.05.2022): ``` pip install norfair ```
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kubric (πŸ₯‰25 Β· ⭐ 2K) - A data generation pipeline for creating semi-realistic synthetic multi-.. Apache-2 +
MMF (πŸ₯‰24 Β· ⭐ 5.3K) - A modular framework for vision & language multimodal research from.. BSD-3 -- [GitHub](https://github.com/google-research/kubric) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 180 Β· πŸ“¦ 3 Β· πŸ“‹ 180 - 30% open Β· ⏱️ 16.10.2023): +- [GitHub](https://github.com/facebookresearch/mmf) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 880 Β· πŸ“¦ 14 Β· πŸ“‹ 650 - 16% open Β· ⏱️ 31.10.2023): ``` - git clone https://github.com/google-research/kubric + git clone https://github.com/facebookresearch/mmf ``` -- [PyPi](https://pypi.org/project/kubric-nightly) (πŸ“₯ 2.9K / month Β· ⏱️ 09.11.2023): +- [PyPi](https://pypi.org/project/mmf) (πŸ“₯ 200 / month): ``` - pip install kubric-nightly + pip install mmf ```
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MMF (πŸ₯‰24 Β· ⭐ 5.3K) - A modular framework for vision & language multimodal research from.. BSD-3 +
kubric (πŸ₯‰24 Β· ⭐ 2K) - A data generation pipeline for creating semi-realistic synthetic multi-.. Apache-2 -- [GitHub](https://github.com/facebookresearch/mmf) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 880 Β· πŸ“¦ 14 Β· πŸ“‹ 650 - 16% open Β· ⏱️ 31.10.2023): +- [GitHub](https://github.com/google-research/kubric) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 190 Β· πŸ“¦ 3 Β· πŸ“‹ 180 - 32% open Β· ⏱️ 16.10.2023): ``` - git clone https://github.com/facebookresearch/mmf + git clone https://github.com/google-research/kubric ``` -- [PyPi](https://pypi.org/project/mmf) (πŸ“₯ 210 / month): +- [PyPi](https://pypi.org/project/kubric-nightly) (πŸ“₯ 2.8K / month Β· ⏱️ 16.11.2023): ``` - pip install mmf + pip install kubric-nightly ```
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pyvips (πŸ₯‰24 Β· ⭐ 550) - python binding for libvips using cffi. MIT +
pyvips (πŸ₯‰24 Β· ⭐ 560) - python binding for libvips using cffi. MIT -- [GitHub](https://github.com/libvips/pyvips) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 47 Β· πŸ“¦ 610 Β· πŸ“‹ 380 - 40% open Β· ⏱️ 18.10.2023): +- [GitHub](https://github.com/libvips/pyvips) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 47 Β· πŸ“¦ 620 Β· πŸ“‹ 380 - 40% open Β· ⏱️ 18.10.2023): ``` git clone https://github.com/libvips/pyvips @@ -2770,11 +2774,23 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` pip install pyvips ``` -- [Conda](https://anaconda.org/conda-forge/pyvips) (πŸ“₯ 69K Β· ⏱️ 26.09.2023): +- [Conda](https://anaconda.org/conda-forge/pyvips) (πŸ“₯ 70K Β· ⏱️ 26.09.2023): ``` conda install -c conda-forge pyvips ```
+
tensorflow-graphics (πŸ₯‰23 Β· ⭐ 2.7K) - TensorFlow Graphics: Differentiable Graphics Layers.. Apache-2 + +- [GitHub](https://github.com/tensorflow/graphics) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 360 Β· πŸ“‹ 240 - 61% open Β· ⏱️ 08.08.2023): + + ``` + git clone https://github.com/tensorflow/graphics + ``` +- [PyPi](https://pypi.org/project/tensorflow-graphics) (πŸ“₯ 5.5K / month Β· πŸ“¦ 8 Β· ⏱️ 03.12.2021): + ``` + pip install tensorflow-graphics + ``` +
icevision (πŸ₯‰23 Β· ⭐ 840 Β· πŸ’€) - An Agnostic Computer Vision Framework - Pluggable to any.. Apache-2 - [GitHub](https://github.com/airctic/icevision) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 140 Β· πŸ“‹ 570 - 10% open Β· ⏱️ 07.12.2022): @@ -2782,7 +2798,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/airctic/icevision ``` -- [PyPi](https://pypi.org/project/icevision) (πŸ“₯ 4.2K / month Β· πŸ“¦ 6 Β· ⏱️ 10.02.2022): +- [PyPi](https://pypi.org/project/icevision) (πŸ“₯ 4.5K / month Β· πŸ“¦ 6 Β· ⏱️ 10.02.2022): ``` pip install icevision ``` @@ -2795,7 +2811,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well git clone https://github.com/facebookresearch/detr ```
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vissl (πŸ₯‰22 Β· ⭐ 3.1K) - VISSL is FAIRs library of extensible, modular and scalable components.. MIT +
vissl (πŸ₯‰22 Β· ⭐ 3.2K) - VISSL is FAIRs library of extensible, modular and scalable components.. MIT - [GitHub](https://github.com/facebookresearch/vissl) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 320 Β· πŸ“¦ 30 Β· πŸ“‹ 180 - 42% open Β· ⏱️ 20.10.2023): @@ -2814,23 +2830,11 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/libffcv/ffcv ``` -- [PyPi](https://pypi.org/project/ffcv) (πŸ“₯ 910 / month Β· πŸ“¦ 1 Β· ⏱️ 28.01.2022): +- [PyPi](https://pypi.org/project/ffcv) (πŸ“₯ 960 / month Β· πŸ“¦ 1 Β· ⏱️ 28.01.2022): ``` pip install ffcv ```
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tensorflow-graphics (πŸ₯‰21 Β· ⭐ 2.7K) - TensorFlow Graphics: Differentiable Graphics Layers.. Apache-2 - -- [GitHub](https://github.com/tensorflow/graphics) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 350 Β· πŸ“‹ 180 - 48% open Β· ⏱️ 08.08.2023): - - ``` - git clone https://github.com/tensorflow/graphics - ``` -- [PyPi](https://pypi.org/project/tensorflow-graphics) (πŸ“₯ 5.4K / month): - ``` - pip install tensorflow-graphics - ``` -
Classy Vision (πŸ₯‰21 Β· ⭐ 1.6K Β· πŸ’€) - An end-to-end PyTorch framework for image and video.. MIT - [GitHub](https://github.com/facebookresearch/ClassyVision) (πŸ‘¨β€πŸ’» 77 Β· πŸ”€ 280 Β· πŸ“‹ 77 - 16% open Β· ⏱️ 23.03.2023): @@ -2838,7 +2842,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/facebookresearch/ClassyVision ``` -- [PyPi](https://pypi.org/project/classy_vision) (πŸ“₯ 1.4K / month): +- [PyPi](https://pypi.org/project/classy_vision) (πŸ“₯ 1K / month): ``` pip install classy_vision ``` @@ -2849,12 +2853,12 @@ _Libraries for image & video processing, manipulation, and augmentation as well
PySlowFast (πŸ₯‰20 Β· ⭐ 6K) - PySlowFast: video understanding codebase from FAIR for.. Apache-2 -- [GitHub](https://github.com/facebookresearch/SlowFast) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 1.1K Β· πŸ“¦ 14 Β· πŸ“‹ 640 - 56% open Β· ⏱️ 19.10.2023): +- [GitHub](https://github.com/facebookresearch/SlowFast) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 1.1K Β· πŸ“¦ 15 Β· πŸ“‹ 640 - 56% open Β· ⏱️ 19.10.2023): ``` git clone https://github.com/facebookresearch/SlowFast ``` -- [PyPi](https://pypi.org/project/pyslowfast) (πŸ“₯ 15 / month Β· ⏱️ 15.01.2020): +- [PyPi](https://pypi.org/project/pyslowfast) (πŸ“₯ 14 / month Β· ⏱️ 15.01.2020): ``` pip install pyslowfast ``` @@ -2866,14 +2870,14 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/ProvenanceLabs/image-match ``` -- [PyPi](https://pypi.org/project/image_match) (πŸ“₯ 590 / month Β· πŸ“¦ 4 Β· ⏱️ 13.02.2017): +- [PyPi](https://pypi.org/project/image_match) (πŸ“₯ 630 / month Β· πŸ“¦ 4 Β· ⏱️ 13.02.2017): ``` pip install image_match ```
scenic (πŸ₯‰19 Β· ⭐ 2.6K) - Scenic: A Jax Library for Computer Vision Research and Beyond. Apache-2 -- [GitHub](https://github.com/google-research/scenic) (πŸ‘¨β€πŸ’» 74 Β· πŸ”€ 350 Β· πŸ“‹ 260 - 58% open Β· ⏱️ 03.11.2023): +- [GitHub](https://github.com/google-research/scenic) (πŸ‘¨β€πŸ’» 74 Β· πŸ”€ 350 Β· πŸ“‹ 260 - 58% open Β· ⏱️ 15.11.2023): ``` git clone https://github.com/google-research/scenic @@ -2886,19 +2890,19 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/facebookresearch/pycls ``` -- [PyPi](https://pypi.org/project/pycls) (πŸ“₯ 800 / month Β· ⏱️ 05.09.2020): +- [PyPi](https://pypi.org/project/pycls) (πŸ“₯ 820 / month Β· ⏱️ 05.09.2020): ``` pip install pycls ```
Caer (πŸ₯‰18 Β· ⭐ 720 Β· πŸ’€) - A lightweight Computer Vision library. Scale your models, not boilerplate. MIT -- [GitHub](https://github.com/jasmcaus/caer) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 96 Β· πŸ“₯ 28 Β· πŸ“‹ 15 - 13% open Β· ⏱️ 01.04.2023): +- [GitHub](https://github.com/jasmcaus/caer) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 97 Β· πŸ“₯ 28 Β· πŸ“‹ 15 - 13% open Β· ⏱️ 01.04.2023): ``` git clone https://github.com/jasmcaus/caer ``` -- [PyPi](https://pypi.org/project/caer) (πŸ“₯ 3.5K / month): +- [PyPi](https://pypi.org/project/caer) (πŸ“₯ 3.4K / month): ``` pip install caer ``` @@ -2906,24 +2910,24 @@ _Libraries for image & video processing, manipulation, and augmentation as well
Show 19 hidden projects... - scikit-image (πŸ₯‡42 Β· ⭐ 5.7K) - Image processing in Python. ❗Unlicensed +- Face Recognition (πŸ₯ˆ35 Β· ⭐ 50K Β· πŸ’€) - The worlds simplest facial recognition api for Python.. MIT - imgaug (πŸ₯ˆ35 Β· ⭐ 14K Β· πŸ’€) - Image augmentation for machine learning experiments. MIT - glfw (πŸ₯ˆ35 Β· ⭐ 11K) - A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input. ❗️Zlib -- Face Recognition (πŸ₯ˆ33 Β· ⭐ 50K Β· πŸ’€) - The worlds simplest facial recognition api for Python.. MIT -- imutils (πŸ₯ˆ32 Β· ⭐ 4.4K Β· πŸ’€) - A series of convenience functions to make basic image processing.. MIT +- imutils (πŸ₯ˆ31 Β· ⭐ 4.4K Β· πŸ’€) - A series of convenience functions to make basic image processing.. MIT - PyTorch3D (πŸ₯ˆ30 Β· ⭐ 7.8K) - PyTorch3D is FAIRs library of reusable components for.. ❗Unlicensed - mtcnn (πŸ₯‰28 Β· ⭐ 2.1K Β· πŸ’€) - MTCNN face detection implementation for TensorFlow, as a PIP.. MIT -- layout-parser (πŸ₯‰27 Β· ⭐ 4K Β· πŸ’€) - A Unified Toolkit for Deep Learning Based Document Image.. Apache-2 +- layout-parser (πŸ₯‰27 Β· ⭐ 4.1K Β· πŸ’€) - A Unified Toolkit for Deep Learning Based Document Image.. Apache-2 - chainercv (πŸ₯‰27 Β· ⭐ 1.5K Β· πŸ’€) - ChainerCV: a Library for Deep Learning in Computer Vision. MIT - segmentation_models (πŸ₯‰24 Β· ⭐ 4.5K Β· πŸ’€) - Segmentation models with pretrained backbones. Keras.. MIT - Image Super-Resolution (πŸ₯‰23 Β· ⭐ 4.3K Β· πŸ’€) - Super-scale your images and run experiments with.. Apache-2 - Luminoth (πŸ₯‰23 Β· ⭐ 2.4K Β· πŸ’€) - Deep Learning toolkit for Computer Vision. BSD-3 - deep-daze (πŸ₯‰22 Β· ⭐ 4.4K Β· πŸ’€) - Simple command line tool for text to image generation using.. MIT -- Pillow-SIMD (πŸ₯‰22 Β· ⭐ 2K Β· πŸ“‰) - The friendly PIL fork. ❗️PIL +- Pillow-SIMD (πŸ₯‰22 Β· ⭐ 2K) - The friendly PIL fork. ❗️PIL - nude.py (πŸ₯‰21 Β· ⭐ 920 Β· πŸ’€) - Nudity detection with Python. MIT - detecto (πŸ₯‰20 Β· ⭐ 600 Β· πŸ’€) - Build fully-functioning computer vision models with PyTorch. MIT - solt (πŸ₯‰18 Β· ⭐ 260 Β· πŸ’€) - Streaming over lightweight data transformations. MIT -- Torch Points 3D (πŸ₯‰16 Β· ⭐ 170 Β· πŸ’€) - Pytorch framework for doing deep learning on point.. BSD-3 - HugsVision (πŸ₯‰15 Β· ⭐ 180 Β· πŸ’€) - HugsVision is a easy to use huggingface wrapper for state-of-.. MIT huggingface +- Torch Points 3D (πŸ₯‰14 Β· ⭐ 170 Β· πŸ’€) - Pytorch framework for doing deep learning on point.. BSD-3

@@ -2935,12 +2939,12 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
networkx (πŸ₯‡44 Β· ⭐ 13K) - Network Analysis in Python. BSD-3 -- [GitHub](https://github.com/networkx/networkx) (πŸ‘¨β€πŸ’» 690 Β· πŸ”€ 3.1K Β· πŸ“₯ 65 Β· πŸ“¦ 200K Β· πŸ“‹ 3.3K - 12% open Β· ⏱️ 09.11.2023): +- [GitHub](https://github.com/networkx/networkx) (πŸ‘¨β€πŸ’» 690 Β· πŸ”€ 3.1K Β· πŸ“₯ 65 Β· πŸ“¦ 200K Β· πŸ“‹ 3.3K - 12% open Β· ⏱️ 16.11.2023): ``` git clone https://github.com/networkx/networkx ``` -- [PyPi](https://pypi.org/project/networkx) (πŸ“₯ 33M / month Β· πŸ“¦ 15K Β· ⏱️ 28.10.2023): +- [PyPi](https://pypi.org/project/networkx) (πŸ“₯ 34M / month Β· πŸ“¦ 15K Β· ⏱️ 28.10.2023): ``` pip install networkx ``` @@ -2951,28 +2955,28 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
dgl (πŸ₯‡39 Β· ⭐ 12K) - Python package built to ease deep learning on graph, on top of existing DL.. Apache-2 -- [GitHub](https://github.com/dmlc/dgl) (πŸ‘¨β€πŸ’» 280 Β· πŸ”€ 2.9K Β· πŸ“¦ 160 Β· πŸ“‹ 2.5K - 16% open Β· ⏱️ 09.11.2023): +- [GitHub](https://github.com/dmlc/dgl) (πŸ‘¨β€πŸ’» 280 Β· πŸ”€ 2.9K Β· πŸ“¦ 160 Β· πŸ“‹ 2.5K - 16% open Β· ⏱️ 16.11.2023): ``` git clone https://github.com/dmlc/dgl ``` -- [PyPi](https://pypi.org/project/dgl) (πŸ“₯ 71K / month Β· πŸ“¦ 76 Β· ⏱️ 30.08.2023): +- [PyPi](https://pypi.org/project/dgl) (πŸ“₯ 67K / month Β· πŸ“¦ 76 Β· ⏱️ 30.08.2023): ``` pip install dgl ```
PyTorch Geometric (πŸ₯‡38 Β· ⭐ 19K) - Graph Neural Network Library for PyTorch. MIT -- [GitHub](https://github.com/pyg-team/pytorch_geometric) (πŸ‘¨β€πŸ’» 460 Β· πŸ”€ 3.3K Β· πŸ“‹ 3.3K - 25% open Β· ⏱️ 09.11.2023): +- [GitHub](https://github.com/pyg-team/pytorch_geometric) (πŸ‘¨β€πŸ’» 460 Β· πŸ”€ 3.4K Β· πŸ“‹ 3.4K - 26% open Β· ⏱️ 16.11.2023): ``` git clone https://github.com/pyg-team/pytorch_geometric ``` -- [PyPi](https://pypi.org/project/torch-geometric) (πŸ“₯ 230K / month Β· πŸ“¦ 110 Β· ⏱️ 12.10.2023): +- [PyPi](https://pypi.org/project/torch-geometric) (πŸ“₯ 240K / month Β· πŸ“¦ 120 Β· ⏱️ 12.10.2023): ``` pip install torch-geometric ``` -- [Conda](https://anaconda.org/conda-forge/pytorch_geometric) (πŸ“₯ 33K Β· ⏱️ 08.11.2023): +- [Conda](https://anaconda.org/conda-forge/pytorch_geometric) (πŸ“₯ 34K Β· ⏱️ 08.11.2023): ``` conda install -c conda-forge pytorch_geometric ``` @@ -2984,7 +2988,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` git clone https://github.com/graphistry/pygraphistry ``` -- [PyPi](https://pypi.org/project/graphistry) (πŸ“₯ 2.8K / month Β· πŸ“¦ 5 Β· ⏱️ 02.11.2023): +- [PyPi](https://pypi.org/project/graphistry) (πŸ“₯ 2.7K / month Β· πŸ“¦ 5 Β· ⏱️ 02.11.2023): ``` pip install graphistry ``` @@ -2996,7 +3000,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` git clone https://github.com/snap-stanford/ogb ``` -- [PyPi](https://pypi.org/project/ogb) (πŸ“₯ 28K / month Β· πŸ“¦ 22 Β· ⏱️ 02.11.2022): +- [PyPi](https://pypi.org/project/ogb) (πŸ“₯ 32K / month Β· πŸ“¦ 22 Β· ⏱️ 02.11.2022): ``` pip install ogb ``` @@ -3012,7 +3016,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` git clone https://github.com/PaddlePaddle/PGL ``` -- [PyPi](https://pypi.org/project/pgl) (πŸ“₯ 1.3K / month Β· πŸ“¦ 2 Β· ⏱️ 26.09.2023): +- [PyPi](https://pypi.org/project/pgl) (πŸ“₯ 1.1K / month Β· πŸ“¦ 2 Β· ⏱️ 26.09.2023): ``` pip install pgl ``` @@ -3024,7 +3028,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` git clone https://github.com/danielegrattarola/spektral ``` -- [PyPi](https://pypi.org/project/spektral) (πŸ“₯ 4.9K / month Β· πŸ“¦ 6 Β· ⏱️ 01.06.2023): +- [PyPi](https://pypi.org/project/spektral) (πŸ“₯ 5.3K / month Β· πŸ“¦ 6 Β· ⏱️ 01.06.2023): ``` pip install spektral ``` @@ -3036,7 +3040,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` git clone https://github.com/pykeen/pykeen ``` -- [PyPi](https://pypi.org/project/pykeen) (πŸ“₯ 4.7K / month Β· πŸ“¦ 5 Β· ⏱️ 22.02.2023): +- [PyPi](https://pypi.org/project/pykeen) (πŸ“₯ 5K / month Β· πŸ“¦ 5 Β· ⏱️ 22.02.2023): ``` pip install pykeen ``` @@ -3048,7 +3052,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` git clone https://github.com/facebookresearch/PyTorch-BigGraph ``` -- [PyPi](https://pypi.org/project/torchbiggraph) (πŸ“₯ 320K / month Β· πŸ“¦ 3 Β· ⏱️ 01.05.2019): +- [PyPi](https://pypi.org/project/torchbiggraph) (πŸ“₯ 310K / month Β· πŸ“¦ 3 Β· ⏱️ 01.05.2019): ``` pip install torchbiggraph ``` @@ -3060,19 +3064,19 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` git clone https://github.com/benedekrozemberczki/pytorch_geometric_temporal ``` -- [PyPi](https://pypi.org/project/torch-geometric-temporal) (πŸ“₯ 2.2K / month Β· πŸ“¦ 4 Β· ⏱️ 04.09.2022): +- [PyPi](https://pypi.org/project/torch-geometric-temporal) (πŸ“₯ 2.4K / month Β· πŸ“¦ 4 Β· ⏱️ 04.09.2022): ``` pip install torch-geometric-temporal ```
AmpliGraph (πŸ₯ˆ25 Β· ⭐ 2K) - Python library for Representation Learning on Knowledge.. Apache-2 -- [GitHub](https://github.com/Accenture/AmpliGraph) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 240 Β· πŸ“¦ 44 Β· πŸ“‹ 220 - 14% open Β· ⏱️ 12.07.2023): +- [GitHub](https://github.com/Accenture/AmpliGraph) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 240 Β· πŸ“¦ 45 Β· πŸ“‹ 220 - 14% open Β· ⏱️ 12.07.2023): ``` git clone https://github.com/Accenture/AmpliGraph ``` -- [PyPi](https://pypi.org/project/ampligraph) (πŸ“₯ 660 / month Β· ⏱️ 25.05.2021): +- [PyPi](https://pypi.org/project/ampligraph) (πŸ“₯ 670 / month Β· ⏱️ 25.05.2021): ``` pip install ampligraph ``` @@ -3084,7 +3088,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` git clone https://github.com/rusty1s/pytorch_cluster ``` -- [PyPi](https://pypi.org/project/torch-cluster) (πŸ“₯ 13K / month Β· πŸ“¦ 44 Β· ⏱️ 12.10.2023): +- [PyPi](https://pypi.org/project/torch-cluster) (πŸ“₯ 14K / month Β· πŸ“¦ 44 Β· ⏱️ 12.10.2023): ``` pip install torch-cluster ``` @@ -3100,7 +3104,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` git clone https://github.com/eliorc/node2vec ``` -- [PyPi](https://pypi.org/project/node2vec) (πŸ“₯ 74K / month Β· πŸ“¦ 18 Β· ⏱️ 01.08.2022): +- [PyPi](https://pypi.org/project/node2vec) (πŸ“₯ 67K / month Β· πŸ“¦ 18 Β· ⏱️ 01.08.2022): ``` pip install node2vec ``` @@ -3109,14 +3113,14 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas conda install -c conda-forge node2vec ```
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graph-nets (πŸ₯‰21 Β· ⭐ 5.3K Β· πŸ’€) - Build Graph Nets in Tensorflow. Apache-2 +
graph-nets (πŸ₯‰22 Β· ⭐ 5.3K Β· πŸ’€) - Build Graph Nets in Tensorflow. Apache-2 - [GitHub](https://github.com/google-deepmind/graph_nets) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 780 Β· πŸ“¦ 20 Β· πŸ“‹ 130 - 5% open Β· ⏱️ 12.12.2022): ``` git clone https://github.com/deepmind/graph_nets ``` -- [PyPi](https://pypi.org/project/graph-nets) (πŸ“₯ 950 / month Β· πŸ“¦ 8 Β· ⏱️ 29.01.2020): +- [PyPi](https://pypi.org/project/graph-nets) (πŸ“₯ 1.5K / month Β· πŸ“¦ 8 Β· ⏱️ 29.01.2020): ``` pip install graph-nets ``` @@ -3128,19 +3132,19 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` git clone https://github.com/graph4ai/graph4nlp ``` -- [PyPi](https://pypi.org/project/graph4nlp) (πŸ“₯ 53 / month Β· ⏱️ 20.01.2022): +- [PyPi](https://pypi.org/project/graph4nlp) (πŸ“₯ 89 / month Β· ⏱️ 20.01.2022): ``` pip install graph4nlp ```
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deepsnap (πŸ₯‰21 Β· ⭐ 500 Β· πŸ’€) - Python library assists deep learning on graphs. MIT +
deepsnap (πŸ₯‰21 Β· ⭐ 510) - Python library assists deep learning on graphs. MIT -- [GitHub](https://github.com/snap-stanford/deepsnap) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 53 Β· πŸ“₯ 10 Β· πŸ“¦ 69 Β· πŸ“‹ 45 - 46% open Β· ⏱️ 27.03.2023): +- [GitHub](https://github.com/snap-stanford/deepsnap) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 53 Β· πŸ“₯ 10 Β· πŸ“¦ 71 Β· πŸ“‹ 45 - 46% open Β· ⏱️ 11.11.2023): ``` git clone https://github.com/snap-stanford/deepsnap ``` -- [PyPi](https://pypi.org/project/deepsnap) (πŸ“₯ 420 / month Β· πŸ“¦ 1 Β· ⏱️ 05.09.2021): +- [PyPi](https://pypi.org/project/deepsnap) (πŸ“₯ 430 / month Β· πŸ“¦ 1 Β· ⏱️ 05.09.2021): ``` pip install deepsnap ``` @@ -3159,12 +3163,12 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
Sematch (πŸ₯‰19 Β· ⭐ 410) - semantic similarity framework for knowledge graph. Apache-2 -- [GitHub](https://github.com/gsi-upm/sematch) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 110 Β· πŸ“¦ 45 Β· πŸ“‹ 34 - 44% open Β· ⏱️ 07.11.2023): +- [GitHub](https://github.com/gsi-upm/sematch) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 110 Β· πŸ“¦ 46 Β· πŸ“‹ 34 - 44% open Β· ⏱️ 07.11.2023): ``` git clone https://github.com/gsi-upm/sematch ``` -- [PyPi](https://pypi.org/project/sematch) (πŸ“₯ 340 / month Β· πŸ“¦ 3 Β· ⏱️ 17.04.2017): +- [PyPi](https://pypi.org/project/sematch) (πŸ“₯ 320 / month Β· πŸ“¦ 3 Β· ⏱️ 17.04.2017): ``` pip install sematch ``` @@ -3176,7 +3180,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` git clone https://github.com/THUMNLab/AutoGL ``` -- [PyPi](https://pypi.org/project/auto-graph-learning) (πŸ“₯ 6 / month Β· ⏱️ 23.12.2020): +- [PyPi](https://pypi.org/project/auto-graph-learning) (πŸ“₯ 7 / month Β· ⏱️ 23.12.2020): ``` pip install auto-graph-learning ``` @@ -3188,7 +3192,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` git clone https://github.com/vaticle/kglib ``` -- [PyPi](https://pypi.org/project/grakn-kglib) (πŸ“₯ 81 / month Β· ⏱️ 19.08.2020): +- [PyPi](https://pypi.org/project/grakn-kglib) (πŸ“₯ 87 / month Β· ⏱️ 19.08.2020): ``` pip install grakn-kglib ``` @@ -3234,61 +3238,61 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas _Libraries for audio analysis, manipulation, transformation, and extraction, as well as speech recognition and music generation tasks._ -
speechbrain (πŸ₯‡38 Β· ⭐ 6.8K) - A PyTorch-based Speech Toolkit. Apache-2 +
Coqui TTS (πŸ₯‡37 Β· ⭐ 22K Β· πŸ“ˆ) - - a deep learning toolkit for Text-to-Speech, battle-.. MPL-2.0 -- [GitHub](https://github.com/speechbrain/speechbrain) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 1.1K Β· πŸ“¦ 1.1K Β· πŸ“‹ 1K - 16% open Β· ⏱️ 30.10.2023): +- [GitHub](https://github.com/coqui-ai/TTS) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 2.5K Β· πŸ“₯ 1.6M Β· πŸ“¦ 590 Β· πŸ“‹ 810 - 4% open Β· ⏱️ 16.11.2023): ``` - git clone https://github.com/speechbrain/speechbrain + git clone https://github.com/coqui-ai/TTS + ``` +- [PyPi](https://pypi.org/project/tts) (πŸ“₯ 91K / month Β· πŸ“¦ 17 Β· ⏱️ 15.11.2023): + ``` + pip install tts ``` -- [PyPi](https://pypi.org/project/speechbrain) (πŸ“₯ 190K / month Β· πŸ“¦ 14 Β· ⏱️ 22.07.2023): +- [Conda](https://anaconda.org/conda-forge/tts) (πŸ“₯ 9.9K Β· ⏱️ 16.06.2023): ``` - pip install speechbrain + conda install -c conda-forge tts ```
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espnet (πŸ₯‡37 Β· ⭐ 7.3K) - End-to-End Speech Processing Toolkit. Apache-2 +
espnet (πŸ₯‡37 Β· ⭐ 7.4K) - End-to-End Speech Processing Toolkit. Apache-2 -- [GitHub](https://github.com/espnet/espnet) (πŸ‘¨β€πŸ’» 400 Β· πŸ”€ 2K Β· πŸ“₯ 79 Β· πŸ“¦ 260 Β· πŸ“‹ 2.3K - 10% open Β· ⏱️ 09.11.2023): +- [GitHub](https://github.com/espnet/espnet) (πŸ‘¨β€πŸ’» 400 Β· πŸ”€ 2K Β· πŸ“₯ 79 Β· πŸ“¦ 260 Β· πŸ“‹ 2.3K - 10% open Β· ⏱️ 16.11.2023): ``` git clone https://github.com/espnet/espnet ``` -- [PyPi](https://pypi.org/project/espnet) (πŸ“₯ 23K / month Β· πŸ“¦ 5 Β· ⏱️ 25.10.2023): +- [PyPi](https://pypi.org/project/espnet) (πŸ“₯ 22K / month Β· πŸ“¦ 5 Β· ⏱️ 25.10.2023): ``` pip install espnet ```
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Coqui TTS (πŸ₯‡35 Β· ⭐ 22K) - - a deep learning toolkit for Text-to-Speech, battle-.. MPL-2.0 +
speechbrain (πŸ₯‡37 Β· ⭐ 6.8K) - A PyTorch-based Speech Toolkit. Apache-2 -- [GitHub](https://github.com/coqui-ai/TTS) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 2.4K Β· πŸ“₯ 1.6M Β· πŸ“‹ 780 - 3% open Β· ⏱️ 08.11.2023): +- [GitHub](https://github.com/speechbrain/speechbrain) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 1.1K Β· πŸ“¦ 1.1K Β· πŸ“‹ 1K - 16% open Β· ⏱️ 16.11.2023): ``` - git clone https://github.com/coqui-ai/TTS - ``` -- [PyPi](https://pypi.org/project/tts) (πŸ“₯ 90K / month Β· πŸ“¦ 17 Β· ⏱️ 08.11.2023): - ``` - pip install tts + git clone https://github.com/speechbrain/speechbrain ``` -- [Conda](https://anaconda.org/conda-forge/tts) (πŸ“₯ 9.9K Β· ⏱️ 16.06.2023): +- [PyPi](https://pypi.org/project/speechbrain) (πŸ“₯ 160K / month Β· πŸ“¦ 14 Β· ⏱️ 22.07.2023): ``` - conda install -c conda-forge tts + pip install speechbrain ```
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torchaudio (πŸ₯‡35 Β· ⭐ 2.3K) - Data manipulation and transformation for audio signal.. BSD-2 +
torchaudio (πŸ₯ˆ35 Β· ⭐ 2.3K) - Data manipulation and transformation for audio signal.. BSD-2 -- [GitHub](https://github.com/pytorch/audio) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 600 Β· πŸ“‹ 900 - 21% open Β· ⏱️ 31.10.2023): +- [GitHub](https://github.com/pytorch/audio) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 610 Β· πŸ“‹ 890 - 20% open Β· ⏱️ 10.11.2023): ``` git clone https://github.com/pytorch/audio ``` -- [PyPi](https://pypi.org/project/torchaudio) (πŸ“₯ 1.7M / month Β· πŸ“¦ 440 Β· ⏱️ 04.10.2023): +- [PyPi](https://pypi.org/project/torchaudio) (πŸ“₯ 1.7M / month Β· πŸ“¦ 480 Β· ⏱️ 15.11.2023): ``` pip install torchaudio ```
librosa (πŸ₯ˆ33 Β· ⭐ 6.3K) - Python library for audio and music analysis. ISC -- [GitHub](https://github.com/librosa/librosa) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 900 Β· πŸ“‹ 1.1K - 4% open Β· ⏱️ 19.10.2023): +- [GitHub](https://github.com/librosa/librosa) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 940 Β· πŸ“‹ 1.1K - 4% open Β· ⏱️ 15.11.2023): ``` git clone https://github.com/librosa/librosa @@ -3304,7 +3308,7 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
spleeter (πŸ₯ˆ32 Β· ⭐ 24K) - Deezer source separation library including pretrained models. MIT -- [GitHub](https://github.com/deezer/spleeter) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 2.6K Β· πŸ“₯ 2.7M Β· πŸ“¦ 610 Β· πŸ“‹ 770 - 27% open Β· ⏱️ 13.07.2023): +- [GitHub](https://github.com/deezer/spleeter) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 2.6K Β· πŸ“₯ 2.8M Β· πŸ“¦ 610 Β· πŸ“‹ 770 - 27% open Β· ⏱️ 13.07.2023): ``` git clone https://github.com/deezer/spleeter @@ -3330,30 +3334,30 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as pip install magenta ```
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Pydub (πŸ₯ˆ32 Β· ⭐ 7.8K Β· πŸ’€) - Manipulate audio with a simple and easy high level interface. MIT +
Pydub (πŸ₯ˆ32 Β· ⭐ 7.9K Β· πŸ’€) - Manipulate audio with a simple and easy high level interface. MIT - [GitHub](https://github.com/jiaaro/pydub) (πŸ‘¨β€πŸ’» 95 Β· πŸ”€ 960 Β· πŸ“¦ 42K Β· πŸ“‹ 590 - 54% open Β· ⏱️ 08.12.2022): ``` git clone https://github.com/jiaaro/pydub ``` -- [PyPi](https://pypi.org/project/pydub) (πŸ“₯ 3M / month Β· πŸ“¦ 1.2K Β· ⏱️ 10.03.2021): +- [PyPi](https://pypi.org/project/pydub) (πŸ“₯ 2.9M / month Β· πŸ“¦ 1.2K Β· ⏱️ 10.03.2021): ``` pip install pydub ``` -- [Conda](https://anaconda.org/conda-forge/pydub) (πŸ“₯ 74K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/pydub) (πŸ“₯ 75K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge pydub ```
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SpeechRecognition (πŸ₯ˆ32 Β· ⭐ 7.6K Β· πŸ’€) - Speech recognition module for Python, supporting.. BSD-3 +
SpeechRecognition (πŸ₯ˆ32 Β· ⭐ 7.7K Β· πŸ’€) - Speech recognition module for Python, supporting.. BSD-3 - [GitHub](https://github.com/Uberi/speech_recognition) (πŸ‘¨β€πŸ’» 49 Β· πŸ”€ 2.3K Β· πŸ“¦ 21 Β· πŸ“‹ 610 - 49% open Β· ⏱️ 13.03.2023): ``` git clone https://github.com/Uberi/speech_recognition ``` -- [PyPi](https://pypi.org/project/SpeechRecognition) (πŸ“₯ 440K / month Β· πŸ“¦ 810 Β· ⏱️ 04.12.2022): +- [PyPi](https://pypi.org/project/SpeechRecognition) (πŸ“₯ 480K / month Β· πŸ“¦ 820 Β· ⏱️ 04.12.2022): ``` pip install SpeechRecognition ``` @@ -3362,14 +3366,14 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as conda install -c conda-forge speechrecognition ```
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audiomentations (πŸ₯ˆ31 Β· ⭐ 1.5K) - A Python library for audio data augmentation. Inspired by.. MIT +
audiomentations (πŸ₯ˆ30 Β· ⭐ 1.6K) - A Python library for audio data augmentation. Inspired by.. MIT -- [GitHub](https://github.com/iver56/audiomentations) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 170 Β· πŸ“¦ 360 Β· πŸ“‹ 170 - 27% open Β· ⏱️ 02.11.2023): +- [GitHub](https://github.com/iver56/audiomentations) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 170 Β· πŸ“¦ 370 Β· πŸ“‹ 170 - 27% open Β· ⏱️ 13.11.2023): ``` git clone https://github.com/iver56/audiomentations ``` -- [PyPi](https://pypi.org/project/audiomentations) (πŸ“₯ 18K / month Β· πŸ“¦ 5 Β· ⏱️ 30.08.2023): +- [PyPi](https://pypi.org/project/audiomentations) (πŸ“₯ 12K / month Β· πŸ“¦ 5 Β· ⏱️ 30.08.2023): ``` pip install audiomentations ``` @@ -3385,7 +3389,7 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as ``` pip install audioread ``` -- [Conda](https://anaconda.org/conda-forge/audioread) (πŸ“₯ 720K Β· ⏱️ 30.09.2023): +- [Conda](https://anaconda.org/conda-forge/audioread) (πŸ“₯ 730K Β· ⏱️ 30.09.2023): ``` conda install -c conda-forge audioread ``` @@ -3397,43 +3401,43 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as ``` git clone https://github.com/tyiannak/pyAudioAnalysis ``` -- [PyPi](https://pypi.org/project/pyAudioAnalysis) (πŸ“₯ 13K / month Β· πŸ“¦ 19 Β· ⏱️ 07.02.2022): +- [PyPi](https://pypi.org/project/pyAudioAnalysis) (πŸ“₯ 12K / month Β· πŸ“¦ 19 Β· ⏱️ 07.02.2022): ``` pip install pyAudioAnalysis ```
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Porcupine (πŸ₯‰28 Β· ⭐ 3.2K) - On-device wake word detection powered by deep learning. Apache-2 +
Porcupine (πŸ₯‰27 Β· ⭐ 3.2K) - On-device wake word detection powered by deep learning. Apache-2 -- [GitHub](https://github.com/Picovoice/porcupine) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 440 Β· πŸ“¦ 24 Β· πŸ“‹ 490 - 0% open Β· ⏱️ 09.11.2023): +- [GitHub](https://github.com/Picovoice/porcupine) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 440 Β· πŸ“¦ 24 Β· πŸ“‹ 500 - 0% open Β· ⏱️ 16.11.2023): ``` git clone https://github.com/Picovoice/Porcupine ``` -- [PyPi](https://pypi.org/project/pvporcupine) (πŸ“₯ 4.7K / month Β· πŸ“¦ 13 Β· ⏱️ 25.10.2023): +- [PyPi](https://pypi.org/project/pvporcupine) (πŸ“₯ 5.4K / month Β· πŸ“¦ 13 Β· ⏱️ 25.10.2023): ``` pip install pvporcupine ```
Madmom (πŸ₯‰27 Β· ⭐ 1.2K) - Python audio and music signal processing library. BSD-3 -- [GitHub](https://github.com/CPJKU/madmom) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 180 Β· πŸ“¦ 370 Β· πŸ“‹ 270 - 21% open Β· ⏱️ 10.09.2023): +- [GitHub](https://github.com/CPJKU/madmom) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 190 Β· πŸ“¦ 370 Β· πŸ“‹ 270 - 21% open Β· ⏱️ 10.09.2023): ``` git clone https://github.com/CPJKU/madmom ``` -- [PyPi](https://pypi.org/project/madmom) (πŸ“₯ 3.5K / month Β· πŸ“¦ 33 Β· ⏱️ 14.11.2018): +- [PyPi](https://pypi.org/project/madmom) (πŸ“₯ 3.6K / month Β· πŸ“¦ 33 Β· ⏱️ 14.11.2018): ``` pip install madmom ```
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tinytag (πŸ₯‰26 Β· ⭐ 630) - Read audio and music meta data and duration of MP3, OGG, OPUS, MP4, M4A,.. MIT +
tinytag (πŸ₯‰25 Β· ⭐ 630) - Read audio and music meta data and duration of MP3, OGG, OPUS, MP4, M4A,.. MIT - [GitHub](https://github.com/devsnd/tinytag) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 99 Β· πŸ“‹ 110 - 12% open Β· ⏱️ 26.10.2023): ``` git clone https://github.com/devsnd/tinytag ``` -- [PyPi](https://pypi.org/project/tinytag) (πŸ“₯ 22K / month Β· πŸ“¦ 110 Β· ⏱️ 26.10.2023): +- [PyPi](https://pypi.org/project/tinytag) (πŸ“₯ 24K / month Β· πŸ“¦ 110 Β· ⏱️ 26.10.2023): ``` pip install tinytag ``` @@ -3445,7 +3449,7 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as ``` git clone https://github.com/magenta/ddsp ``` -- [PyPi](https://pypi.org/project/ddsp) (πŸ“₯ 1.7K / month Β· πŸ“¦ 1 Β· ⏱️ 25.05.2022): +- [PyPi](https://pypi.org/project/ddsp) (πŸ“₯ 2.1K / month Β· πŸ“¦ 1 Β· ⏱️ 25.05.2022): ``` pip install ddsp ``` @@ -3461,7 +3465,7 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as ``` git clone https://github.com/bastibe/python-soundfile ``` -- [PyPi](https://pypi.org/project/soundfile) (πŸ“₯ 1.6M / month Β· πŸ“¦ 170 Β· ⏱️ 15.02.2023): +- [PyPi](https://pypi.org/project/soundfile) (πŸ“₯ 1.5M / month Β· πŸ“¦ 170 Β· ⏱️ 15.02.2023): ``` pip install soundfile ``` @@ -3470,14 +3474,14 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as conda install -c anaconda pysoundfile ```
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DeepSpeech (πŸ₯‰22 Β· ⭐ 23K Β· πŸ“‰) - DeepSpeech is an open source embedded (offline, on-.. MPL-2.0 +
DeepSpeech (πŸ₯‰22 Β· ⭐ 23K) - DeepSpeech is an open source embedded (offline, on-device).. MPL-2.0 - [GitHub](https://github.com/mozilla/DeepSpeech) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 3.8K): ``` git clone https://github.com/mozilla/DeepSpeech ``` -- [PyPi](https://pypi.org/project/deepspeech) (πŸ“₯ 7.9K / month Β· πŸ“¦ 43 Β· ⏱️ 19.12.2020): +- [PyPi](https://pypi.org/project/deepspeech) (πŸ“₯ 7.5K / month Β· πŸ“¦ 43 Β· ⏱️ 19.12.2020): ``` pip install deepspeech ``` @@ -3493,7 +3497,7 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as ``` git clone https://github.com/KinWaiCheuk/nnAudio ``` -- [PyPi](https://pypi.org/project/nnAudio) (πŸ“₯ 5.8K / month Β· πŸ“¦ 3 Β· ⏱️ 24.12.2021): +- [PyPi](https://pypi.org/project/nnAudio) (πŸ“₯ 3.4K / month Β· πŸ“¦ 3 Β· ⏱️ 24.12.2021): ``` pip install nnAudio ``` @@ -3509,11 +3513,11 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
Show 9 hidden projects... - aubio (πŸ₯‰28 Β· ⭐ 3.1K Β· πŸ’€) - a library for audio and music analysis. ❗️GPL-3.0 +- TTS (πŸ₯‰27 Β· ⭐ 8.2K Β· πŸ’€) - Deep learning for Text to Speech (Discussion forum:.. MPL-2.0 - Essentia (πŸ₯‰27 Β· ⭐ 2.5K) - C++ library for audio and music analysis, description and.. ❗️AGPL-3.0 -- TTS (πŸ₯‰26 Β· ⭐ 8.1K Β· πŸ’€) - Deep learning for Text to Speech (Discussion forum:.. MPL-2.0 - python_speech_features (πŸ₯‰25 Β· ⭐ 2.3K Β· πŸ’€) - This library provides common speech features for ASR.. MIT +- kapre (πŸ₯‰23 Β· ⭐ 900 Β· πŸ’€) - kapre: Keras Audio Preprocessors. MIT - Dejavu (πŸ₯‰22 Β· ⭐ 6.2K Β· πŸ’€) - Audio fingerprinting and recognition in Python. MIT -- kapre (πŸ₯‰22 Β· ⭐ 900 Β· πŸ’€) - kapre: Keras Audio Preprocessors. MIT - TimeSide (πŸ₯‰21 Β· ⭐ 360 Β· πŸ’€) - scalable audio processing framework and server written in.. ❗️AGPL-3.0 - Julius (πŸ₯‰20 Β· ⭐ 380 Β· πŸ’€) - Fast PyTorch based DSP for audio and 1D signals. MIT - Muda (πŸ₯‰17 Β· ⭐ 220 Β· πŸ’€) - A library for augmenting annotated audio data. ISC @@ -3528,12 +3532,12 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
pydeck (πŸ₯‡42 Β· ⭐ 11K) - WebGL2 powered visualization framework. MIT -- [GitHub](https://github.com/visgl/deck.gl) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 2K Β· πŸ“¦ 6.7K Β· πŸ“‹ 2.8K - 8% open Β· ⏱️ 08.11.2023): +- [GitHub](https://github.com/visgl/deck.gl) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 2K Β· πŸ“¦ 6.8K Β· πŸ“‹ 2.8K - 9% open Β· ⏱️ 16.11.2023): ``` git clone https://github.com/visgl/deck.gl ``` -- [PyPi](https://pypi.org/project/pydeck) (πŸ“₯ 1.7M / month Β· πŸ“¦ 40 Β· ⏱️ 15.04.2023): +- [PyPi](https://pypi.org/project/pydeck) (πŸ“₯ 1.7M / month Β· πŸ“¦ 48 Β· ⏱️ 15.04.2023): ``` pip install pydeck ``` @@ -3541,23 +3545,23 @@ _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) (πŸ“₯ 480K / month Β· πŸ“¦ 470 Β· ⏱️ 02.11.2023): +- [npm](https://www.npmjs.com/package/deck.gl) (πŸ“₯ 480K / month Β· πŸ“¦ 470 Β· ⏱️ 14.11.2023): ``` npm install deck.gl ```
GeoPandas (πŸ₯‡40 Β· ⭐ 3.9K) - Python tools for geographic data. BSD-3 -- [GitHub](https://github.com/geopandas/geopandas) (πŸ‘¨β€πŸ’» 210 Β· πŸ”€ 870 Β· πŸ“₯ 2.2K Β· πŸ“¦ 28K Β· πŸ“‹ 1.6K - 27% open Β· ⏱️ 08.11.2023): +- [GitHub](https://github.com/geopandas/geopandas) (πŸ‘¨β€πŸ’» 210 Β· πŸ”€ 900 Β· πŸ“₯ 2.2K Β· πŸ“¦ 28K Β· πŸ“‹ 1.6K - 28% open Β· ⏱️ 13.11.2023): ``` git clone https://github.com/geopandas/geopandas ``` -- [PyPi](https://pypi.org/project/geopandas) (πŸ“₯ 6.5M / month Β· πŸ“¦ 1.7K Β· ⏱️ 15.09.2023): +- [PyPi](https://pypi.org/project/geopandas) (πŸ“₯ 6.6M / month Β· πŸ“¦ 1.8K Β· ⏱️ 11.11.2023): ``` pip install geopandas ``` -- [Conda](https://anaconda.org/conda-forge/geopandas) (πŸ“₯ 3.3M Β· ⏱️ 11.10.2023): +- [Conda](https://anaconda.org/conda-forge/geopandas) (πŸ“₯ 3.3M Β· ⏱️ 11.11.2023): ``` conda install -c conda-forge geopandas ``` @@ -3569,18 +3573,18 @@ _Libraries to load, process, analyze, and write geographic data as well as libra ``` git clone https://github.com/python-visualization/folium ``` -- [PyPi](https://pypi.org/project/folium) (πŸ“₯ 770K / month Β· πŸ“¦ 800 Β· ⏱️ 06.11.2023): +- [PyPi](https://pypi.org/project/folium) (πŸ“₯ 820K / month Β· πŸ“¦ 800 Β· ⏱️ 06.11.2023): ``` pip install folium ``` -- [Conda](https://anaconda.org/conda-forge/folium) (πŸ“₯ 2.4M Β· ⏱️ 06.11.2023): +- [Conda](https://anaconda.org/conda-forge/folium) (πŸ“₯ 2.5M Β· ⏱️ 06.11.2023): ``` conda install -c conda-forge folium ```
Shapely (πŸ₯ˆ38 Β· ⭐ 3.5K) - Manipulation and analysis of geometric objects. BSD-3 -- [GitHub](https://github.com/shapely/shapely) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 540 Β· πŸ“₯ 2.7K Β· πŸ“¦ 55K Β· πŸ“‹ 1.1K - 20% open Β· ⏱️ 29.10.2023): +- [GitHub](https://github.com/shapely/shapely) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 540 Β· πŸ“₯ 2.7K Β· πŸ“¦ 56K Β· πŸ“‹ 1.1K - 20% open Β· ⏱️ 29.10.2023): ``` git clone https://github.com/shapely/shapely @@ -3589,14 +3593,14 @@ _Libraries to load, process, analyze, and write geographic data as well as libra ``` pip install shapely ``` -- [Conda](https://anaconda.org/conda-forge/shapely) (πŸ“₯ 8.6M Β· ⏱️ 13.10.2023): +- [Conda](https://anaconda.org/conda-forge/shapely) (πŸ“₯ 8.7M Β· ⏱️ 13.10.2023): ``` conda install -c conda-forge shapely ```
Rasterio (πŸ₯ˆ37 Β· ⭐ 2K) - Rasterio reads and writes geospatial raster datasets. BSD-3 -- [GitHub](https://github.com/rasterio/rasterio) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 520 Β· πŸ“₯ 850 Β· πŸ“¦ 9.3K Β· πŸ“‹ 1.8K - 9% open Β· ⏱️ 03.11.2023): +- [GitHub](https://github.com/rasterio/rasterio) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 520 Β· πŸ“₯ 850 Β· πŸ“¦ 9.4K Β· πŸ“‹ 1.8K - 9% open Β· ⏱️ 10.11.2023): ``` git clone https://github.com/rasterio/rasterio @@ -3610,36 +3614,36 @@ _Libraries to load, process, analyze, and write geographic data as well as libra conda install -c conda-forge rasterio ```
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pyproj (πŸ₯ˆ36 Β· ⭐ 940) - Python interface to PROJ (cartographic projections and coordinate.. MIT +
geopy (πŸ₯ˆ36 Β· ⭐ 4.1K) - Geocoding library for Python. MIT -- [GitHub](https://github.com/pyproj4/pyproj) (πŸ‘¨β€πŸ’» 65 Β· πŸ”€ 210 Β· πŸ“¦ 25K Β· πŸ“‹ 590 - 4% open Β· ⏱️ 08.11.2023): +- [GitHub](https://github.com/geopy/geopy) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 630 Β· πŸ“₯ 4 Β· πŸ“‹ 280 - 10% open Β· ⏱️ 27.08.2023): ``` - git clone https://github.com/pyproj4/pyproj + git clone https://github.com/geopy/geopy ``` -- [PyPi](https://pypi.org/project/pyproj) (πŸ“₯ 8.4M / month Β· πŸ“¦ 2K Β· ⏱️ 21.09.2023): +- [PyPi](https://pypi.org/project/geopy) (πŸ“₯ 4.6M / month Β· πŸ“¦ 4K Β· ⏱️ 27.08.2023): ``` - pip install pyproj + pip install geopy ``` -- [Conda](https://anaconda.org/conda-forge/pyproj) (πŸ“₯ 6.9M Β· ⏱️ 06.11.2023): +- [Conda](https://anaconda.org/conda-forge/geopy) (πŸ“₯ 1.2M Β· ⏱️ 27.08.2023): ``` - conda install -c conda-forge pyproj + conda install -c conda-forge geopy ```
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geopy (πŸ₯ˆ35 Β· ⭐ 4.1K) - Geocoding library for Python. MIT +
pyproj (πŸ₯ˆ36 Β· ⭐ 940) - Python interface to PROJ (cartographic projections and coordinate.. MIT -- [GitHub](https://github.com/geopy/geopy) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 630 Β· πŸ“₯ 2 Β· πŸ“‹ 280 - 10% open Β· ⏱️ 27.08.2023): +- [GitHub](https://github.com/pyproj4/pyproj) (πŸ‘¨β€πŸ’» 65 Β· πŸ”€ 210 Β· πŸ“¦ 25K Β· πŸ“‹ 590 - 4% open Β· ⏱️ 08.11.2023): ``` - git clone https://github.com/geopy/geopy + git clone https://github.com/pyproj4/pyproj ``` -- [PyPi](https://pypi.org/project/geopy) (πŸ“₯ 4.5M / month Β· πŸ“¦ 4K Β· ⏱️ 27.08.2023): +- [PyPi](https://pypi.org/project/pyproj) (πŸ“₯ 8.5M / month Β· πŸ“¦ 2K Β· ⏱️ 21.09.2023): ``` - pip install geopy + pip install pyproj ``` -- [Conda](https://anaconda.org/conda-forge/geopy) (πŸ“₯ 1.2M Β· ⏱️ 27.08.2023): +- [Conda](https://anaconda.org/conda-forge/pyproj) (πŸ“₯ 7M Β· ⏱️ 06.11.2023): ``` - conda install -c conda-forge geopy + conda install -c conda-forge pyproj ```
Fiona (πŸ₯ˆ35 Β· ⭐ 1.1K) - Fiona reads and writes geographic data files. BSD-3 @@ -3649,23 +3653,23 @@ _Libraries to load, process, analyze, and write geographic data as well as libra ``` git clone https://github.com/Toblerity/Fiona ``` -- [PyPi](https://pypi.org/project/fiona) (πŸ“₯ 6.8M / month Β· ⏱️ 12.10.2023): +- [PyPi](https://pypi.org/project/fiona) (πŸ“₯ 6.9M / month Β· ⏱️ 12.10.2023): ``` pip install fiona ``` -- [Conda](https://anaconda.org/conda-forge/fiona) (πŸ“₯ 5.1M Β· ⏱️ 12.10.2023): +- [Conda](https://anaconda.org/conda-forge/fiona) (πŸ“₯ 5.1M Β· ⏱️ 15.11.2023): ``` conda install -c conda-forge fiona ```
ipyleaflet (πŸ₯ˆ33 Β· ⭐ 1.4K) - A Jupyter - Leaflet.js bridge. MIT -- [GitHub](https://github.com/jupyter-widgets/ipyleaflet) (πŸ‘¨β€πŸ’» 85 Β· πŸ”€ 350 Β· πŸ“¦ 5.9K Β· πŸ“‹ 590 - 42% open Β· ⏱️ 09.10.2023): +- [GitHub](https://github.com/jupyter-widgets/ipyleaflet) (πŸ‘¨β€πŸ’» 85 Β· πŸ”€ 350 Β· πŸ“¦ 6K Β· πŸ“‹ 590 - 42% open Β· ⏱️ 09.10.2023): ``` git clone https://github.com/jupyter-widgets/ipyleaflet ``` -- [PyPi](https://pypi.org/project/ipyleaflet) (πŸ“₯ 180K / month Β· πŸ“¦ 160 Β· ⏱️ 11.09.2023): +- [PyPi](https://pypi.org/project/ipyleaflet) (πŸ“₯ 170K / month Β· πŸ“¦ 160 Β· ⏱️ 11.09.2023): ``` pip install ipyleaflet ``` @@ -3673,19 +3677,19 @@ _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) (πŸ“₯ 52K / month Β· πŸ“¦ 5 Β· ⏱️ 02.06.2023): +- [npm](https://www.npmjs.com/package/jupyter-leaflet) (πŸ“₯ 53K / month Β· πŸ“¦ 5 Β· ⏱️ 02.06.2023): ``` npm install jupyter-leaflet ```
ArcGIS API (πŸ₯‰32 Β· ⭐ 1.7K) - Documentation and samples for ArcGIS API for Python. Apache-2 -- [GitHub](https://github.com/Esri/arcgis-python-api) (πŸ‘¨β€πŸ’» 89 Β· πŸ”€ 1.1K Β· πŸ“₯ 9.6K Β· πŸ“¦ 3 Β· πŸ“‹ 640 - 6% open Β· ⏱️ 16.10.2023): +- [GitHub](https://github.com/Esri/arcgis-python-api) (πŸ‘¨β€πŸ’» 89 Β· πŸ”€ 1.1K Β· πŸ“₯ 9.7K Β· πŸ“¦ 3 Β· πŸ“‹ 640 - 6% open Β· ⏱️ 16.10.2023): ``` git clone https://github.com/Esri/arcgis-python-api ``` -- [PyPi](https://pypi.org/project/arcgis) (πŸ“₯ 72K / month Β· πŸ“¦ 32 Β· ⏱️ 18.10.2023): +- [PyPi](https://pypi.org/project/arcgis) (πŸ“₯ 75K / month Β· πŸ“¦ 32 Β· ⏱️ 18.10.2023): ``` pip install arcgis ``` @@ -3696,7 +3700,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
geojson (πŸ₯‰30 Β· ⭐ 840) - Python bindings and utilities for GeoJSON. BSD-3 -- [GitHub](https://github.com/jazzband/geojson) (πŸ‘¨β€πŸ’» 55 Β· πŸ”€ 120 Β· πŸ“¦ 16K Β· πŸ“‹ 100 - 26% open Β· ⏱️ 06.11.2023): +- [GitHub](https://github.com/jazzband/geojson) (πŸ‘¨β€πŸ’» 56 Β· πŸ”€ 120 Β· πŸ“¦ 16K Β· πŸ“‹ 100 - 26% open Β· ⏱️ 06.11.2023): ``` git clone https://github.com/jazzband/geojson @@ -3712,12 +3716,12 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
GeoViews (πŸ₯‰28 Β· ⭐ 520) - Simple, concise geographical visualization in Python. BSD-3 -- [GitHub](https://github.com/holoviz/geoviews) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 72 Β· πŸ“¦ 790 Β· πŸ“‹ 340 - 33% open Β· ⏱️ 01.11.2023): +- [GitHub](https://github.com/holoviz/geoviews) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 72 Β· πŸ“¦ 800 Β· πŸ“‹ 340 - 33% open Β· ⏱️ 10.11.2023): ``` git clone https://github.com/holoviz/geoviews ``` -- [PyPi](https://pypi.org/project/geoviews) (πŸ“₯ 8K / month Β· πŸ“¦ 35 Β· ⏱️ 01.11.2023): +- [PyPi](https://pypi.org/project/geoviews) (πŸ“₯ 8.2K / month Β· πŸ“¦ 35 Β· ⏱️ 01.11.2023): ``` pip install geoviews ``` @@ -3733,23 +3737,23 @@ _Libraries to load, process, analyze, and write geographic data as well as libra ``` git clone https://github.com/pysal/pysal ``` -- [PyPi](https://pypi.org/project/pysal) (πŸ“₯ 22K / month Β· πŸ“¦ 36 Β· ⏱️ 01.08.2023): +- [PyPi](https://pypi.org/project/pysal) (πŸ“₯ 21K / month Β· πŸ“¦ 36 Β· ⏱️ 01.08.2023): ``` pip install pysal ``` -- [Conda](https://anaconda.org/conda-forge/pysal) (πŸ“₯ 520K Β· ⏱️ 04.10.2023): +- [Conda](https://anaconda.org/conda-forge/pysal) (πŸ“₯ 530K Β· ⏱️ 04.10.2023): ``` conda install -c conda-forge pysal ```
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EarthPy (πŸ₯‰25 Β· ⭐ 460) - A package built to support working with spatial data using open source.. BSD-3 +
EarthPy (πŸ₯‰25 Β· ⭐ 470) - A package built to support working with spatial data using open source.. BSD-3 - [GitHub](https://github.com/earthlab/earthpy) (πŸ‘¨β€πŸ’» 44 Β· πŸ”€ 150 Β· πŸ“¦ 260 Β· πŸ“‹ 230 - 10% open Β· ⏱️ 23.08.2023): ``` git clone https://github.com/earthlab/earthpy ``` -- [PyPi](https://pypi.org/project/earthpy) (πŸ“₯ 4.7K / month Β· πŸ“¦ 17 Β· ⏱️ 01.10.2021): +- [PyPi](https://pypi.org/project/earthpy) (πŸ“₯ 5K / month Β· πŸ“¦ 17 Β· ⏱️ 01.10.2021): ``` pip install earthpy ``` @@ -3758,18 +3762,18 @@ _Libraries to load, process, analyze, and write geographic data as well as libra conda install -c conda-forge earthpy ```
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pymap3d (πŸ₯‰24 Β· ⭐ 340 Β· πŸ’€) - pure-Python (Numpy optional) 3D coordinate conversions for geospace.. BSD-2 +
pymap3d (πŸ₯‰24 Β· ⭐ 340) - pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef.. BSD-2 -- [GitHub](https://github.com/geospace-code/pymap3d) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 79 Β· πŸ“¦ 330 Β· πŸ“‹ 53 - 16% open Β· ⏱️ 05.03.2023): +- [GitHub](https://github.com/geospace-code/pymap3d) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 80 Β· πŸ“¦ 330 Β· πŸ“‹ 54 - 16% open Β· ⏱️ 15.11.2023): ``` git clone https://github.com/geospace-code/pymap3d ``` -- [PyPi](https://pypi.org/project/pymap3d) (πŸ“₯ 76K / month Β· πŸ“¦ 21 Β· ⏱️ 05.03.2023): +- [PyPi](https://pypi.org/project/pymap3d) (πŸ“₯ 70K / month Β· πŸ“¦ 21 Β· ⏱️ 05.03.2023): ``` pip install pymap3d ``` -- [Conda](https://anaconda.org/conda-forge/pymap3d) (πŸ“₯ 64K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/pymap3d) (πŸ“₯ 65K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge pymap3d ``` @@ -3777,7 +3781,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
Show 7 hidden projects... - Geocoder (πŸ₯‰32 Β· ⭐ 1.6K Β· πŸ’€) - Python Geocoder. MIT -- Satpy (πŸ₯‰31 Β· ⭐ 960) - Python package for earth-observing satellite data processing. ❗️GPL-3.0 +- Satpy (πŸ₯‰31 Β· ⭐ 970) - Python package for earth-observing satellite data processing. ❗️GPL-3.0 - Sentinelsat (πŸ₯‰26 Β· ⭐ 930) - Search and download Copernicus Sentinel satellite images. ❗️GPL-3.0 - gmaps (πŸ₯‰23 Β· ⭐ 760 Β· πŸ’€) - Google maps for Jupyter notebooks. BSD-3 - Mapbox GL (πŸ₯‰23 Β· ⭐ 640 Β· πŸ’€) - Use Mapbox GL JS to visualize data in a Python Jupyter notebook. MIT @@ -3792,9 +3796,9 @@ _Libraries to load, process, analyze, and write geographic data as well as libra _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, technical analysis, and other tasks on financial data._ -
yfinance (πŸ₯‡39 Β· ⭐ 11K) - Download market data from Yahoo! Finances API. Apache-2 +
yfinance (πŸ₯‡38 Β· ⭐ 11K) - Download market data from Yahoo! Finances API. Apache-2 -- [GitHub](https://github.com/ranaroussi/yfinance) (πŸ‘¨β€πŸ’» 93 Β· πŸ”€ 2K Β· πŸ“¦ 29K Β· πŸ“‹ 1.2K - 14% open Β· ⏱️ 04.10.2023): +- [GitHub](https://github.com/ranaroussi/yfinance) (πŸ‘¨β€πŸ’» 94 Β· πŸ”€ 2K Β· πŸ“¦ 30K Β· πŸ“‹ 1.2K - 14% open Β· ⏱️ 09.11.2023): ``` git clone https://github.com/ranaroussi/yfinance @@ -3815,7 +3819,7 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te ``` git clone https://github.com/bukosabino/ta ``` -- [PyPi](https://pypi.org/project/ta) (πŸ“₯ 86K / month Β· πŸ“¦ 44 Β· ⏱️ 02.11.2023): +- [PyPi](https://pypi.org/project/ta) (πŸ“₯ 78K / month Β· πŸ“¦ 44 Β· ⏱️ 02.11.2023): ``` pip install ta ``` @@ -3826,24 +3830,24 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
Qlib (πŸ₯ˆ30 Β· ⭐ 13K) - Qlib is an AI-oriented quantitative investment platform that aims to.. MIT -- [GitHub](https://github.com/microsoft/qlib) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 2.2K Β· πŸ“₯ 390 Β· πŸ“¦ 21 Β· πŸ“‹ 870 - 25% open Β· ⏱️ 03.11.2023): +- [GitHub](https://github.com/microsoft/qlib) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 2.2K Β· πŸ“₯ 390 Β· πŸ“¦ 21 Β· πŸ“‹ 880 - 25% open Β· ⏱️ 16.11.2023): ``` git clone https://github.com/microsoft/qlib ``` -- [PyPi](https://pypi.org/project/pyqlib) (πŸ“₯ 1.8K / month Β· πŸ“¦ 1 Β· ⏱️ 15.06.2022): +- [PyPi](https://pypi.org/project/pyqlib) (πŸ“₯ 1.7K / month Β· πŸ“¦ 1 Β· ⏱️ 15.06.2022): ``` pip install pyqlib ```
IB-insync (πŸ₯ˆ29 Β· ⭐ 2.4K) - Python sync/async framework for Interactive Brokers API. BSD-2 -- [GitHub](https://github.com/erdewit/ib_insync) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 580 Β· πŸ“‹ 540 - 1% open Β· ⏱️ 17.10.2023): +- [GitHub](https://github.com/erdewit/ib_insync) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 580 Β· πŸ“‹ 550 - 1% open Β· ⏱️ 17.10.2023): ``` git clone https://github.com/erdewit/ib_insync ``` -- [PyPi](https://pypi.org/project/ib_insync) (πŸ“₯ 28K / month Β· πŸ“¦ 23 Β· ⏱️ 21.11.2022): +- [PyPi](https://pypi.org/project/ib_insync) (πŸ“₯ 27K / month Β· πŸ“¦ 23 Β· ⏱️ 21.11.2022): ``` pip install ib_insync ``` @@ -3859,7 +3863,7 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te ``` git clone https://github.com/pmorissette/bt ``` -- [PyPi](https://pypi.org/project/bt) (πŸ“₯ 8.1K / month Β· πŸ“¦ 27 Β· ⏱️ 21.04.2021): +- [PyPi](https://pypi.org/project/bt) (πŸ“₯ 8.3K / month Β· πŸ“¦ 28 Β· ⏱️ 21.04.2021): ``` pip install bt ``` @@ -3868,9 +3872,9 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te conda install -c conda-forge bt ```
-
Alpha Vantage (πŸ₯ˆ28 Β· ⭐ 4K Β· πŸ’€) - A python wrapper for Alpha Vantage API for financial data. MIT +
Alpha Vantage (πŸ₯ˆ28 Β· ⭐ 4K) - A python wrapper for Alpha Vantage API for financial data. MIT -- [GitHub](https://github.com/RomelTorres/alpha_vantage) (πŸ‘¨β€πŸ’» 42 Β· πŸ”€ 700 Β· πŸ“¦ 420 Β· πŸ“‹ 280 - 2% open Β· ⏱️ 25.12.2022): +- [GitHub](https://github.com/RomelTorres/alpha_vantage) (πŸ‘¨β€πŸ’» 42 Β· πŸ”€ 700 Β· πŸ“¦ 430 Β· πŸ“‹ 280 - 2% open Β· ⏱️ 11.11.2023): ``` git clone https://github.com/RomelTorres/alpha_vantage @@ -3886,23 +3890,23 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
ffn (πŸ₯ˆ28 Β· ⭐ 1.6K) - ffn - a financial function library for Python. MIT -- [GitHub](https://github.com/pmorissette/ffn) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 270 Β· πŸ“¦ 380 Β· πŸ“‹ 120 - 19% open Β· ⏱️ 14.09.2023): +- [GitHub](https://github.com/pmorissette/ffn) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 270 Β· πŸ“¦ 390 Β· πŸ“‹ 120 - 19% open Β· ⏱️ 14.09.2023): ``` git clone https://github.com/pmorissette/ffn ``` -- [PyPi](https://pypi.org/project/ffn) (πŸ“₯ 150K / month Β· πŸ“¦ 30 Β· ⏱️ 21.04.2021): +- [PyPi](https://pypi.org/project/ffn) (πŸ“₯ 150K / month Β· πŸ“¦ 31 Β· ⏱️ 21.04.2021): ``` pip install ffn ``` -- [Conda](https://anaconda.org/conda-forge/ffn) (πŸ“₯ 5.9K Β· ⏱️ 15.06.2023): +- [Conda](https://anaconda.org/conda-forge/ffn) (πŸ“₯ 6K Β· ⏱️ 15.06.2023): ``` conda install -c conda-forge ffn ```
stockstats (πŸ₯‰27 Β· ⭐ 1.2K) - Supply a wrapper ``StockDataFrame`` based on the.. BSD-3 -- [GitHub](https://github.com/jealous/stockstats) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 290 Β· πŸ“¦ 950 Β· πŸ“‹ 120 - 10% open Β· ⏱️ 30.07.2023): +- [GitHub](https://github.com/jealous/stockstats) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 290 Β· πŸ“¦ 960 Β· πŸ“‹ 120 - 10% open Β· ⏱️ 30.07.2023): ``` git clone https://github.com/jealous/stockstats @@ -3912,14 +3916,14 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te pip install stockstats ```
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PyAlgoTrade (πŸ₯‰24 Β· ⭐ 4.2K Β· πŸ’€) - Python Algorithmic Trading Library. Apache-2 +
PyAlgoTrade (πŸ₯‰25 Β· ⭐ 4.2K Β· πŸ’€) - Python Algorithmic Trading Library. Apache-2 -- [GitHub](https://github.com/gbeced/pyalgotrade) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 1.4K Β· πŸ“¦ 170 Β· ⏱️ 05.03.2023): +- [GitHub](https://github.com/gbeced/pyalgotrade) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 1.4K Β· πŸ“¦ 180 Β· ⏱️ 05.03.2023): ``` git clone https://github.com/gbeced/pyalgotrade ``` -- [PyPi](https://pypi.org/project/pyalgotrade) (πŸ“₯ 920 / month Β· πŸ“¦ 21 Β· ⏱️ 21.08.2018): +- [PyPi](https://pypi.org/project/pyalgotrade) (πŸ“₯ 790 / month Β· πŸ“¦ 21 Β· ⏱️ 21.08.2018): ``` pip install pyalgotrade ``` @@ -3931,31 +3935,31 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te ``` git clone https://github.com/fmilthaler/FinQuant ``` -- [PyPi](https://pypi.org/project/FinQuant) (πŸ“₯ 870 / month Β· ⏱️ 04.09.2023): +- [PyPi](https://pypi.org/project/FinQuant) (πŸ“₯ 530 / month Β· ⏱️ 04.09.2023): ``` pip install FinQuant ```
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tf-quant-finance (πŸ₯‰20 Β· ⭐ 4.1K) - High-performance TensorFlow library for quantitative.. Apache-2 +
tf-quant-finance (πŸ₯‰21 Β· ⭐ 4.1K) - High-performance TensorFlow library for quantitative.. Apache-2 -- [GitHub](https://github.com/google/tf-quant-finance) (πŸ‘¨β€πŸ’» 47 Β· πŸ”€ 530 Β· πŸ“‹ 64 - 56% open Β· ⏱️ 15.08.2023): +- [GitHub](https://github.com/google/tf-quant-finance) (πŸ‘¨β€πŸ’» 47 Β· πŸ”€ 540 Β· πŸ“‹ 65 - 56% open Β· ⏱️ 15.08.2023): ``` git clone https://github.com/google/tf-quant-finance ``` -- [PyPi](https://pypi.org/project/tf-quant-finance) (πŸ“₯ 460 / month Β· πŸ“¦ 2 Β· ⏱️ 19.08.2022): +- [PyPi](https://pypi.org/project/tf-quant-finance) (πŸ“₯ 470 / month Β· πŸ“¦ 2 Β· ⏱️ 19.08.2022): ``` pip install tf-quant-finance ```
-
finmarketpy (πŸ₯‰20 Β· ⭐ 3.2K Β· πŸ’€) - Python library for backtesting trading strategies &.. Apache-2 +
finmarketpy (πŸ₯‰21 Β· ⭐ 3.2K Β· πŸ’€) - Python library for backtesting trading strategies &.. Apache-2 - [GitHub](https://github.com/cuemacro/finmarketpy) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 480 Β· πŸ“₯ 47 Β· πŸ“¦ 11 Β· πŸ“‹ 28 - 85% open Β· ⏱️ 26.04.2023): ``` git clone https://github.com/cuemacro/finmarketpy ``` -- [PyPi](https://pypi.org/project/finmarketpy) (πŸ“₯ 140 / month Β· ⏱️ 07.10.2021): +- [PyPi](https://pypi.org/project/finmarketpy) (πŸ“₯ 180 / month Β· ⏱️ 07.10.2021): ``` pip install finmarketpy ``` @@ -3966,14 +3970,14 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te - pyfolio (πŸ₯‡32 Β· ⭐ 5.2K Β· πŸ’€) - Portfolio and risk analytics in Python. Apache-2 - arch (πŸ₯ˆ31 Β· ⭐ 1.2K) - ARCH models in Python. ❗Unlicensed - backtrader (πŸ₯ˆ29 Β· ⭐ 12K Β· πŸ’€) - Python Backtesting library for trading strategies. ❗️GPL-3.0 -- empyrical (πŸ₯ˆ28 Β· ⭐ 1.1K Β· πŸ’€) - Common financial risk and performance metrics. Used by.. Apache-2 +- empyrical (πŸ₯ˆ28 Β· ⭐ 1.2K Β· πŸ’€) - Common financial risk and performance metrics. Used by.. Apache-2 - Alphalens (πŸ₯‰26 Β· ⭐ 2.9K Β· πŸ’€) - Performance analysis of predictive (alpha) stock factors. Apache-2 - TensorTrade (πŸ₯‰25 Β· ⭐ 4.3K Β· πŸ’€) - An open source reinforcement learning framework for.. Apache-2 - Enigma Catalyst (πŸ₯‰25 Β· ⭐ 2.4K Β· πŸ’€) - An Algorithmic Trading Library for Crypto-Assets in.. Apache-2 - FinTA (πŸ₯‰23 Β· ⭐ 2K Β· πŸ’€) - Common financial technical indicators implemented in Pandas. ❗️LGPL-3.0 - Crypto Signals (πŸ₯‰22 Β· ⭐ 4.5K Β· πŸ’€) - Github.com/CryptoSignal - Trading & Technical Analysis Bot -.. MIT - Backtesting.py (πŸ₯‰22 Β· ⭐ 4.2K Β· πŸ’€) - Backtest trading strategies in Python. ❗️AGPL-3.0 -- surpriver (πŸ₯‰12 Β· ⭐ 1.6K Β· πŸ’€) - Find big moving stocks before they move using machine.. ❗️GPL-3.0 +- surpriver (πŸ₯‰12 Β· ⭐ 1.7K Β· πŸ’€) - Find big moving stocks before they move using machine.. ❗️GPL-3.0 - pyrtfolio (πŸ₯‰8 Β· ⭐ 140 Β· πŸ’€) - Python package to generate stock portfolios. ❗️GPL-3.0

@@ -3986,7 +3990,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
sktime (πŸ₯‡39 Β· ⭐ 7K) - A unified framework for machine learning with time series. BSD-3 -- [GitHub](https://github.com/sktime/sktime) (πŸ‘¨β€πŸ’» 310 Β· πŸ”€ 1.2K Β· πŸ“₯ 84 Β· πŸ“¦ 1.8K Β· πŸ“‹ 2K - 35% open Β· ⏱️ 06.11.2023): +- [GitHub](https://github.com/sktime/sktime) (πŸ‘¨β€πŸ’» 300 Β· πŸ”€ 1.2K Β· πŸ“₯ 84 Β· πŸ“¦ 1.9K Β· πŸ“‹ 2K - 35% open Β· ⏱️ 15.11.2023): ``` git clone https://github.com/alan-turing-institute/sktime @@ -4016,18 +4020,6 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l conda install -c conda-forge prophet ```
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NeuralProphet (πŸ₯‡33 Β· ⭐ 3.3K) - NeuralProphet: A simple forecasting package. MIT - -- [GitHub](https://github.com/ourownstory/neural_prophet) (πŸ‘¨β€πŸ’» 50 Β· πŸ”€ 440 Β· πŸ“¦ 320 Β· πŸ“‹ 500 - 8% open Β· ⏱️ 07.11.2023): - - ``` - git clone https://github.com/ourownstory/neural_prophet - ``` -- [PyPi](https://pypi.org/project/neuralprophet) (πŸ“₯ 68K / month Β· πŸ“¦ 3 Β· ⏱️ 19.09.2023): - ``` - pip install neuralprophet - ``` -
tslearn (πŸ₯‡33 Β· ⭐ 2.6K) - A machine learning toolkit dedicated to time-series data. BSD-2 - [GitHub](https://github.com/tslearn-team/tslearn) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 320 Β· πŸ“¦ 1K Β· πŸ“‹ 310 - 38% open Β· ⏱️ 04.11.2023): @@ -4035,7 +4027,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` git clone https://github.com/tslearn-team/tslearn ``` -- [PyPi](https://pypi.org/project/tslearn) (πŸ“₯ 300K / month Β· πŸ“¦ 45 Β· ⏱️ 21.08.2023): +- [PyPi](https://pypi.org/project/tslearn) (πŸ“₯ 310K / month Β· πŸ“¦ 45 Β· ⏱️ 21.08.2023): ``` pip install tslearn ``` @@ -4044,9 +4036,9 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l conda install -c conda-forge tslearn ```
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pmdarima (πŸ₯‡33 Β· ⭐ 1.4K) - A statistical library designed to fill the void in Pythons time series.. MIT +
pmdarima (πŸ₯‡33 Β· ⭐ 1.5K) - A statistical library designed to fill the void in Pythons time series.. MIT -- [GitHub](https://github.com/alkaline-ml/pmdarima) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 230 Β· πŸ“¦ 6.5K Β· πŸ“‹ 320 - 15% open Β· ⏱️ 23.10.2023): +- [GitHub](https://github.com/alkaline-ml/pmdarima) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 230 Β· πŸ“¦ 6.6K Β· πŸ“‹ 320 - 15% open Β· ⏱️ 23.10.2023): ``` git clone https://github.com/alkaline-ml/pmdarima @@ -4060,14 +4052,26 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l conda install -c conda-forge pmdarima ```
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StatsForecast (πŸ₯ˆ32 Β· ⭐ 3.1K) - Lightning fast forecasting with statistical and econometric.. Apache-2 +
NeuralProphet (πŸ₯ˆ32 Β· ⭐ 3.4K) - NeuralProphet: A simple forecasting package. MIT + +- [GitHub](https://github.com/ourownstory/neural_prophet) (πŸ‘¨β€πŸ’» 50 Β· πŸ”€ 440 Β· πŸ“¦ 330 Β· πŸ“‹ 500 - 8% open Β· ⏱️ 07.11.2023): + + ``` + git clone https://github.com/ourownstory/neural_prophet + ``` +- [PyPi](https://pypi.org/project/neuralprophet) (πŸ“₯ 69K / month Β· πŸ“¦ 3 Β· ⏱️ 19.09.2023): + ``` + pip install neuralprophet + ``` +
+
StatsForecast (πŸ₯ˆ32 Β· ⭐ 3.2K) - Lightning fast forecasting with statistical and econometric.. Apache-2 -- [GitHub](https://github.com/Nixtla/statsforecast) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 220 Β· πŸ“¦ 550 Β· πŸ“‹ 250 - 42% open Β· ⏱️ 24.10.2023): +- [GitHub](https://github.com/Nixtla/statsforecast) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 220 Β· πŸ“¦ 570 Β· πŸ“‹ 250 - 42% open Β· ⏱️ 15.11.2023): ``` git clone https://github.com/Nixtla/statsforecast ``` -- [PyPi](https://pypi.org/project/statsforecast) (πŸ“₯ 520K / month Β· πŸ“¦ 21 Β· ⏱️ 23.08.2023): +- [PyPi](https://pypi.org/project/statsforecast) (πŸ“₯ 530K / month Β· πŸ“¦ 21 Β· ⏱️ 23.08.2023): ``` pip install statsforecast ``` @@ -4083,7 +4087,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` git clone https://github.com/blue-yonder/tsfresh ``` -- [PyPi](https://pypi.org/project/tsfresh) (πŸ“₯ 250K / month Β· πŸ“¦ 75 Β· ⏱️ 21.12.2021): +- [PyPi](https://pypi.org/project/tsfresh) (πŸ“₯ 230K / month Β· πŸ“¦ 76 Β· ⏱️ 21.12.2021): ``` pip install tsfresh ``` @@ -4094,7 +4098,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
Darts (πŸ₯ˆ31 Β· ⭐ 6.6K) - A python library for user-friendly forecasting and anomaly detection.. Apache-2 -- [GitHub](https://github.com/unit8co/darts) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 720 Β· πŸ“¦ 400 Β· πŸ“‹ 1.2K - 19% open Β· ⏱️ 08.11.2023): +- [GitHub](https://github.com/unit8co/darts) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 730 Β· πŸ“¦ 410 Β· πŸ“‹ 1.2K - 19% open Β· ⏱️ 16.11.2023): ``` git clone https://github.com/unit8co/darts @@ -4103,23 +4107,23 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` pip install u8darts ``` -- [Conda](https://anaconda.org/conda-forge/u8darts-all) (πŸ“₯ 37K Β· ⏱️ 16.09.2023): +- [Conda](https://anaconda.org/conda-forge/u8darts-all) (πŸ“₯ 38K Β· ⏱️ 16.09.2023): ``` conda install -c conda-forge u8darts-all ``` -- [Docker Hub](https://hub.docker.com/r/unit8/darts) (πŸ“₯ 430 Β· ⏱️ 16.09.2023): +- [Docker Hub](https://hub.docker.com/r/unit8/darts) (πŸ“₯ 440 Β· ⏱️ 16.09.2023): ``` docker pull unit8/darts ```
GluonTS (πŸ₯ˆ31 Β· ⭐ 3.9K) - Probabilistic time series modeling in Python. Apache-2 -- [GitHub](https://github.com/awslabs/gluonts) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 750 Β· πŸ“‹ 890 - 30% open Β· ⏱️ 02.11.2023): +- [GitHub](https://github.com/awslabs/gluonts) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 750 Β· πŸ“‹ 890 - 30% open Β· ⏱️ 13.11.2023): ``` git clone https://github.com/awslabs/gluon-ts ``` -- [PyPi](https://pypi.org/project/gluonts) (πŸ“₯ 320K / month Β· πŸ“¦ 13 Β· ⏱️ 27.10.2023): +- [PyPi](https://pypi.org/project/gluonts) (πŸ“₯ 310K / month Β· πŸ“¦ 13 Β· ⏱️ 14.11.2023): ``` pip install gluonts ``` @@ -4130,12 +4134,12 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
STUMPY (πŸ₯ˆ31 Β· ⭐ 2.8K) - STUMPY is a powerful and scalable Python library for modern time series.. BSD-3 -- [GitHub](https://github.com/TDAmeritrade/stumpy) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 270 Β· πŸ“¦ 560 Β· πŸ“‹ 460 - 11% open Β· ⏱️ 17.10.2023): +- [GitHub](https://github.com/TDAmeritrade/stumpy) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 270 Β· πŸ“¦ 570 Β· πŸ“‹ 460 - 11% open Β· ⏱️ 17.10.2023): ``` git clone https://github.com/TDAmeritrade/stumpy ``` -- [PyPi](https://pypi.org/project/stumpy) (πŸ“₯ 260K / month Β· πŸ“¦ 15 Β· ⏱️ 21.08.2023): +- [PyPi](https://pypi.org/project/stumpy) (πŸ“₯ 240K / month Β· πŸ“¦ 15 Β· ⏱️ 21.08.2023): ``` pip install stumpy ``` @@ -4144,14 +4148,14 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l conda install -c conda-forge stumpy ```
-
pytorch-forecasting (πŸ₯ˆ29 Β· ⭐ 3.3K) - Time series forecasting with PyTorch. MIT +
pytorch-forecasting (πŸ₯ˆ30 Β· ⭐ 3.3K) - Time series forecasting with PyTorch. MIT -- [GitHub](https://github.com/jdb78/pytorch-forecasting) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 520 Β· πŸ“‹ 710 - 60% open Β· ⏱️ 08.11.2023): +- [GitHub](https://github.com/jdb78/pytorch-forecasting) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 530 Β· πŸ“‹ 710 - 60% open Β· ⏱️ 15.11.2023): ``` git clone https://github.com/jdb78/pytorch-forecasting ``` -- [PyPi](https://pypi.org/project/pytorch-forecasting) (πŸ“₯ 58K / month Β· πŸ“¦ 10 Β· ⏱️ 26.07.2020): +- [PyPi](https://pypi.org/project/pytorch-forecasting) (πŸ“₯ 60K / month Β· πŸ“¦ 10 Β· ⏱️ 26.07.2020): ``` pip install pytorch-forecasting ``` @@ -4162,7 +4166,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
NeuralForecast (πŸ₯ˆ29 Β· ⭐ 1.9K) - Scalable and user friendly neural forecasting algorithms. Apache-2 -- [GitHub](https://github.com/Nixtla/neuralforecast) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 200 Β· πŸ“¦ 61 Β· πŸ“‹ 370 - 23% open Β· ⏱️ 07.11.2023): +- [GitHub](https://github.com/Nixtla/neuralforecast) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 200 Β· πŸ“¦ 64 Β· πŸ“‹ 380 - 24% open Β· ⏱️ 14.11.2023): ``` git clone https://github.com/Nixtla/neuralforecast @@ -4178,7 +4182,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
pyts (πŸ₯‰28 Β· ⭐ 1.6K) - A Python package for time series classification. BSD-3 -- [GitHub](https://github.com/johannfaouzi/pyts) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 150 Β· πŸ“¦ 480 Β· πŸ“‹ 75 - 54% open Β· ⏱️ 20.06.2023): +- [GitHub](https://github.com/johannfaouzi/pyts) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 160 Β· πŸ“¦ 490 Β· πŸ“‹ 75 - 54% open Β· ⏱️ 20.06.2023): ``` git clone https://github.com/johannfaouzi/pyts @@ -4192,14 +4196,14 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l conda install -c conda-forge pyts ```
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skforecast (πŸ₯‰27 Β· ⭐ 710) - Time series forecasting with scikit-learn models. BSD-3 +
skforecast (πŸ₯‰28 Β· ⭐ 720) - Time series forecasting with scikit-learn models. BSD-3 -- [GitHub](https://github.com/JoaquinAmatRodrigo/skforecast) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 88 Β· πŸ“¦ 200 Β· πŸ“‹ 100 - 13% open Β· ⏱️ 02.11.2023): +- [GitHub](https://github.com/JoaquinAmatRodrigo/skforecast) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 88 Β· πŸ“¦ 200 Β· πŸ“‹ 100 - 13% open Β· ⏱️ 15.11.2023): ``` git clone https://github.com/JoaquinAmatRodrigo/skforecast ``` -- [PyPi](https://pypi.org/project/skforecast) (πŸ“₯ 37K / month Β· πŸ“¦ 6 Β· ⏱️ 26.09.2023): +- [PyPi](https://pypi.org/project/skforecast) (πŸ“₯ 38K / month Β· πŸ“¦ 6 Β· ⏱️ 26.09.2023): ``` pip install skforecast ``` @@ -4211,7 +4215,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` git clone https://github.com/python-streamz/streamz ``` -- [PyPi](https://pypi.org/project/streamz) (πŸ“₯ 17K / month Β· πŸ“¦ 37 Β· ⏱️ 27.07.2022): +- [PyPi](https://pypi.org/project/streamz) (πŸ“₯ 18K / month Β· πŸ“¦ 37 Β· ⏱️ 27.07.2022): ``` pip install streamz ``` @@ -4222,24 +4226,24 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
TSFEL (πŸ₯‰25 Β· ⭐ 750) - An intuitive library to extract features from time series. BSD-3 -- [GitHub](https://github.com/fraunhoferportugal/tsfel) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 130 Β· πŸ“¦ 98 Β· πŸ“‹ 68 - 7% open Β· ⏱️ 25.10.2023): +- [GitHub](https://github.com/fraunhoferportugal/tsfel) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 130 Β· πŸ“¦ 99 Β· πŸ“‹ 68 - 7% open Β· ⏱️ 25.10.2023): ``` git clone https://github.com/fraunhoferportugal/tsfel ``` -- [PyPi](https://pypi.org/project/tsfel) (πŸ“₯ 23K / month Β· ⏱️ 22.08.2023): +- [PyPi](https://pypi.org/project/tsfel) (πŸ“₯ 22K / month Β· ⏱️ 22.08.2023): ``` pip install tsfel ```
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uber/orbit (πŸ₯‰23 Β· ⭐ 1.7K) - A Python package for Bayesian forecasting with object-oriented.. Apache-2 +
uber/orbit (πŸ₯‰23 Β· ⭐ 1.8K) - A Python package for Bayesian forecasting with object-oriented.. Apache-2 -- [GitHub](https://github.com/uber/orbit) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 130 Β· πŸ“¦ 40 Β· πŸ“‹ 390 - 16% open Β· ⏱️ 26.09.2023): +- [GitHub](https://github.com/uber/orbit) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 130 Β· πŸ“¦ 41 Β· πŸ“‹ 390 - 16% open Β· ⏱️ 26.09.2023): ``` git clone https://github.com/uber/orbit ``` -- [PyPi](https://pypi.org/project/orbit-ml) (πŸ“₯ 83K / month Β· πŸ“¦ 1 Β· ⏱️ 29.01.2023): +- [PyPi](https://pypi.org/project/orbit-ml) (πŸ“₯ 64K / month Β· πŸ“¦ 1 Β· ⏱️ 29.01.2023): ``` pip install orbit-ml ``` @@ -4255,7 +4259,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` git clone https://github.com/linkedin/greykite ``` -- [PyPi](https://pypi.org/project/greykite) (πŸ“₯ 13K / month Β· ⏱️ 15.07.2022): +- [PyPi](https://pypi.org/project/greykite) (πŸ“₯ 14K / month Β· ⏱️ 15.07.2022): ``` pip install greykite ``` @@ -4279,7 +4283,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` git clone https://github.com/linkedin/luminol ``` -- [PyPi](https://pypi.org/project/luminol) (πŸ“₯ 8K / month Β· πŸ“¦ 15 Β· ⏱️ 11.12.2017): +- [PyPi](https://pypi.org/project/luminol) (πŸ“₯ 7.6K / month Β· πŸ“¦ 15 Β· ⏱️ 11.12.2017): ``` pip install luminol ``` @@ -4291,7 +4295,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` git clone https://github.com/AutoViML/Auto_TS ``` -- [PyPi](https://pypi.org/project/auto-ts) (πŸ“₯ 4K / month Β· ⏱️ 02.11.2023): +- [PyPi](https://pypi.org/project/auto-ts) (πŸ“₯ 4.2K / month Β· ⏱️ 02.11.2023): ``` pip install auto-ts ``` @@ -4303,7 +4307,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` git clone https://github.com/wwrechard/pydlm ``` -- [PyPi](https://pypi.org/project/pydlm) (πŸ“₯ 30K / month Β· πŸ“¦ 2 Β· ⏱️ 19.12.2018): +- [PyPi](https://pypi.org/project/pydlm) (πŸ“₯ 26K / month Β· πŸ“¦ 2 Β· ⏱️ 19.12.2018): ``` pip install pydlm ``` @@ -4315,11 +4319,11 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` git clone https://github.com/predict-idlab/tsflex ``` -- [PyPi](https://pypi.org/project/tsflex) (πŸ“₯ 240 / month Β· ⏱️ 11.10.2022): +- [PyPi](https://pypi.org/project/tsflex) (πŸ“₯ 320 / month Β· ⏱️ 11.10.2022): ``` pip install tsflex ``` -- [Conda](https://anaconda.org/conda-forge/tsflex) (πŸ“₯ 19K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/tsflex) (πŸ“₯ 20K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge tsflex ``` @@ -4344,12 +4348,12 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
MNE (πŸ₯‡39 Β· ⭐ 2.4K) - MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python. BSD-3 -- [GitHub](https://github.com/mne-tools/mne-python) (πŸ‘¨β€πŸ’» 360 Β· πŸ”€ 1.2K Β· πŸ“¦ 3.1K Β· πŸ“‹ 4.7K - 11% open Β· ⏱️ 08.11.2023): +- [GitHub](https://github.com/mne-tools/mne-python) (πŸ‘¨β€πŸ’» 360 Β· πŸ”€ 1.2K Β· πŸ“¦ 3.2K Β· πŸ“‹ 4.7K - 11% open Β· ⏱️ 15.11.2023): ``` git clone https://github.com/mne-tools/mne-python ``` -- [PyPi](https://pypi.org/project/mne) (πŸ“₯ 110K / month Β· πŸ“¦ 280 Β· ⏱️ 06.09.2023): +- [PyPi](https://pypi.org/project/mne) (πŸ“₯ 100K / month Β· πŸ“¦ 280 Β· ⏱️ 06.09.2023): ``` pip install mne ``` @@ -4360,28 +4364,28 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
MONAI (πŸ₯‡36 Β· ⭐ 4.8K) - AI Toolkit for Healthcare Imaging. Apache-2 -- [GitHub](https://github.com/Project-MONAI/MONAI) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 880 Β· πŸ“¦ 1.5K Β· πŸ“‹ 2.8K - 11% open Β· ⏱️ 06.11.2023): +- [GitHub](https://github.com/Project-MONAI/MONAI) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 890 Β· πŸ“¦ 1.5K Β· πŸ“‹ 2.8K - 11% open Β· ⏱️ 15.11.2023): ``` git clone https://github.com/Project-MONAI/MONAI ``` -- [PyPi](https://pypi.org/project/monai) (πŸ“₯ 110K / month Β· πŸ“¦ 46 Β· ⏱️ 12.10.2023): +- [PyPi](https://pypi.org/project/monai) (πŸ“₯ 120K / month Β· πŸ“¦ 47 Β· ⏱️ 12.10.2023): ``` pip install monai ``` -- [Conda](https://anaconda.org/conda-forge/monai) (πŸ“₯ 19K Β· ⏱️ 12.10.2023): +- [Conda](https://anaconda.org/conda-forge/monai) (πŸ“₯ 20K Β· ⏱️ 12.10.2023): ``` conda install -c conda-forge monai ```
Nilearn (πŸ₯ˆ35 Β· ⭐ 1.1K) - Machine learning for NeuroImaging in Python. BSD-3 -- [GitHub](https://github.com/nilearn/nilearn) (πŸ‘¨β€πŸ’» 230 Β· πŸ”€ 530 Β· πŸ“₯ 140 Β· πŸ“¦ 2.7K Β· πŸ“‹ 1.9K - 15% open Β· ⏱️ 09.11.2023): +- [GitHub](https://github.com/nilearn/nilearn) (πŸ‘¨β€πŸ’» 230 Β· πŸ”€ 530 Β· πŸ“₯ 140 Β· πŸ“¦ 2.7K Β· πŸ“‹ 1.9K - 15% open Β· ⏱️ 16.11.2023): ``` git clone https://github.com/nilearn/nilearn ``` -- [PyPi](https://pypi.org/project/nilearn) (πŸ“₯ 49K / month Β· πŸ“¦ 280 Β· ⏱️ 29.09.2023): +- [PyPi](https://pypi.org/project/nilearn) (πŸ“₯ 50K / month Β· πŸ“¦ 280 Β· ⏱️ 29.09.2023): ``` pip install nilearn ``` @@ -4392,12 +4396,12 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
NIPYPE (πŸ₯ˆ34 Β· ⭐ 700) - Workflows and interfaces for neuroimaging packages. Apache-2 -- [GitHub](https://github.com/nipy/nipype) (πŸ‘¨β€πŸ’» 250 Β· πŸ”€ 510 Β· πŸ“¦ 3.7K Β· πŸ“‹ 1.3K - 29% open Β· ⏱️ 28.09.2023): +- [GitHub](https://github.com/nipy/nipype) (πŸ‘¨β€πŸ’» 250 Β· πŸ”€ 510 Β· πŸ“¦ 3.7K Β· πŸ“‹ 1.3K - 29% open Β· ⏱️ 15.11.2023): ``` git clone https://github.com/nipy/nipype ``` -- [PyPi](https://pypi.org/project/nipype) (πŸ“₯ 80K / month Β· πŸ“¦ 180 Β· ⏱️ 21.05.2017): +- [PyPi](https://pypi.org/project/nipype) (πŸ“₯ 81K / month Β· πŸ“¦ 180 Β· ⏱️ 21.05.2017): ``` pip install nipype ``` @@ -4408,12 +4412,12 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
DIPY (πŸ₯ˆ34 Β· ⭐ 630) - DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic.. BSD-3 -- [GitHub](https://github.com/dipy/dipy) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 390 Β· πŸ“¦ 900 Β· πŸ“‹ 890 - 17% open Β· ⏱️ 07.11.2023): +- [GitHub](https://github.com/dipy/dipy) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 390 Β· πŸ“¦ 920 Β· πŸ“‹ 890 - 16% open Β· ⏱️ 15.11.2023): ``` git clone https://github.com/dipy/dipy ``` -- [PyPi](https://pypi.org/project/dipy) (πŸ“₯ 16K / month Β· πŸ“¦ 110 Β· ⏱️ 11.03.2022): +- [PyPi](https://pypi.org/project/dipy) (πŸ“₯ 18K / month Β· πŸ“¦ 110 Β· ⏱️ 11.03.2022): ``` pip install dipy ``` @@ -4424,12 +4428,12 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
Lifelines (πŸ₯ˆ33 Β· ⭐ 2.2K) - Survival analysis in Python. MIT -- [GitHub](https://github.com/CamDavidsonPilon/lifelines) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 560 Β· πŸ“¦ 1.9K Β· πŸ“‹ 930 - 27% open Β· ⏱️ 27.10.2023): +- [GitHub](https://github.com/CamDavidsonPilon/lifelines) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 560 Β· πŸ“¦ 2K Β· πŸ“‹ 930 - 27% open Β· ⏱️ 15.11.2023): ``` git clone https://github.com/CamDavidsonPilon/lifelines ``` -- [PyPi](https://pypi.org/project/lifelines) (πŸ“₯ 400K / month Β· πŸ“¦ 130 Β· ⏱️ 13.09.2023): +- [PyPi](https://pypi.org/project/lifelines) (πŸ“₯ 380K / month Β· πŸ“¦ 130 Β· ⏱️ 13.09.2023): ``` pip install lifelines ``` @@ -4440,19 +4444,19 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
Hail (πŸ₯ˆ33 Β· ⭐ 900) - Cloud-native genomic dataframes and batch computing. MIT -- [GitHub](https://github.com/hail-is/hail) (πŸ‘¨β€πŸ’» 90 Β· πŸ”€ 230 Β· πŸ“¦ 110 Β· πŸ“‹ 2.3K - 7% open Β· ⏱️ 09.11.2023): +- [GitHub](https://github.com/hail-is/hail) (πŸ‘¨β€πŸ’» 90 Β· πŸ”€ 230 Β· πŸ“¦ 120 Β· πŸ“‹ 2.3K - 7% open Β· ⏱️ 16.11.2023): ``` git clone https://github.com/hail-is/hail ``` -- [PyPi](https://pypi.org/project/hail) (πŸ“₯ 26K / month Β· πŸ“¦ 17 Β· ⏱️ 30.10.2023): +- [PyPi](https://pypi.org/project/hail) (πŸ“₯ 44K / month Β· πŸ“¦ 17 Β· ⏱️ 30.10.2023): ``` pip install hail ```
NiBabel (πŸ₯ˆ33 Β· ⭐ 590) - Python package to access a cacophony of neuro-imaging file formats. MIT -- [GitHub](https://github.com/nipy/nibabel) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 250 Β· πŸ“¦ 15K Β· πŸ“‹ 510 - 24% open Β· ⏱️ 07.11.2023): +- [GitHub](https://github.com/nipy/nibabel) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 250 Β· πŸ“¦ 16K Β· πŸ“‹ 510 - 24% open Β· ⏱️ 07.11.2023): ``` git clone https://github.com/nipy/nibabel @@ -4468,12 +4472,12 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
NIPY (πŸ₯‰28 Β· ⭐ 350) - Neuroimaging in Python FMRI analysis package. BSD-3 -- [GitHub](https://github.com/nipy/nipy) (πŸ‘¨β€πŸ’» 68 Β· πŸ”€ 130 Β· πŸ“¦ 210 Β· πŸ“‹ 170 - 26% open Β· ⏱️ 08.11.2023): +- [GitHub](https://github.com/nipy/nipy) (πŸ‘¨β€πŸ’» 68 Β· πŸ”€ 140 Β· πŸ“¦ 210 Β· πŸ“‹ 170 - 26% open Β· ⏱️ 11.11.2023): ``` git clone https://github.com/nipy/nipy ``` -- [PyPi](https://pypi.org/project/nipy) (πŸ“₯ 1.9K / month Β· πŸ“¦ 50 Β· ⏱️ 29.03.2021): +- [PyPi](https://pypi.org/project/nipy) (πŸ“₯ 2.9K / month Β· πŸ“¦ 50 Β· ⏱️ 29.03.2021): ``` pip install nipy ``` @@ -4496,12 +4500,12 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
Brainiak (πŸ₯‰19 Β· ⭐ 320) - Brain Imaging Analysis Kit. Apache-2 -- [GitHub](https://github.com/brainiak/brainiak) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 130 Β· πŸ“‹ 200 - 38% open Β· ⏱️ 13.10.2023): +- [GitHub](https://github.com/brainiak/brainiak) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 130 Β· πŸ“‹ 210 - 38% open Β· ⏱️ 13.11.2023): ``` git clone https://github.com/brainiak/brainiak ``` -- [PyPi](https://pypi.org/project/brainiak) (πŸ“₯ 130 / month Β· πŸ“¦ 1 Β· ⏱️ 15.10.2020): +- [PyPi](https://pypi.org/project/brainiak) (πŸ“₯ 150 / month Β· πŸ“¦ 1 Β· ⏱️ 15.10.2020): ``` pip install brainiak ``` @@ -4514,8 +4518,8 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic - NiftyNet (πŸ₯‰24 Β· ⭐ 1.3K Β· πŸ’€) - [unmaintained] An open-source convolutional neural.. Apache-2 - MedPy (πŸ₯‰23 Β· ⭐ 520 Β· πŸ’€) - Medical image processing in Python. ❗️GPL-3.0 +- Glow (πŸ₯‰21 Β· ⭐ 240 Β· πŸ’€) - An open-source toolkit for large-scale genomic analysis. Apache-2 - DLTK (πŸ₯‰20 Β· ⭐ 1.4K Β· πŸ’€) - Deep Learning Toolkit for Medical Image Analysis. Apache-2 -- Glow (πŸ₯‰20 Β· ⭐ 240 Β· πŸ’€) - An open-source toolkit for large-scale genomic analysis. Apache-2 - Medical Detection Toolkit (πŸ₯‰15 Β· ⭐ 1.2K Β· πŸ’€) - The Medical Detection Toolkit contains 2D + 3D.. Apache-2 - MedicalTorch (πŸ₯‰15 Β· ⭐ 830 Β· πŸ’€) - A medical imaging framework for Pytorch. Apache-2 - DeepNeuro (πŸ₯‰13 Β· ⭐ 120 Β· πŸ’€) - A deep learning python package for neuroimaging data. Made by:. MIT @@ -4529,35 +4533,35 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic _Libraries for processing tabular and structured data._ -
carefree-learn (πŸ₯‰20 Β· ⭐ 400) - Deep Learning PyTorch. MIT +
pytorch_tabular (πŸ₯‰20 Β· ⭐ 1.1K) - A standard framework for modelling Deep Learning Models.. MIT -- [GitHub](https://github.com/carefree0910/carefree-learn) (πŸ‘¨β€πŸ’» 1 Β· πŸ”€ 37 Β· πŸ“¦ 4 Β· πŸ“‹ 82 - 2% open Β· ⏱️ 21.10.2023): +- [GitHub](https://github.com/manujosephv/pytorch_tabular) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 110 Β· πŸ“₯ 21 Β· πŸ“‹ 120 - 11% open Β· ⏱️ 16.11.2023): ``` - git clone https://github.com/carefree0910/carefree-learn + git clone https://github.com/manujosephv/pytorch_tabular ``` -- [PyPi](https://pypi.org/project/carefree-learn) (πŸ“₯ 410 / month Β· ⏱️ 17.10.2023): +- [PyPi](https://pypi.org/project/pytorch_tabular) (πŸ“₯ 4.2K / month Β· πŸ“¦ 2 Β· ⏱️ 01.09.2021): ``` - pip install carefree-learn + pip install pytorch_tabular ```
-
pytorch_tabular (πŸ₯‰19 Β· ⭐ 1.1K) - A standard framework for modelling Deep Learning Models.. MIT +
carefree-learn (πŸ₯‰20 Β· ⭐ 400) - Deep Learning PyTorch. MIT -- [GitHub](https://github.com/manujosephv/pytorch_tabular) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 110 Β· πŸ“₯ 21 Β· πŸ“‹ 120 - 11% open Β· ⏱️ 19.07.2023): +- [GitHub](https://github.com/carefree0910/carefree-learn) (πŸ‘¨β€πŸ’» 1 Β· πŸ”€ 37 Β· πŸ“¦ 4 Β· πŸ“‹ 82 - 2% open Β· ⏱️ 16.11.2023): ``` - git clone https://github.com/manujosephv/pytorch_tabular + git clone https://github.com/carefree0910/carefree-learn ``` -- [PyPi](https://pypi.org/project/pytorch_tabular) (πŸ“₯ 3.8K / month Β· πŸ“¦ 2 Β· ⏱️ 01.09.2021): +- [PyPi](https://pypi.org/project/carefree-learn) (πŸ“₯ 400 / month Β· ⏱️ 17.10.2023): ``` - pip install pytorch_tabular + pip install carefree-learn ```
Show 3 hidden projects... -- miceforest (πŸ₯‡21 Β· ⭐ 260 Β· πŸ’€) - Multiple Imputation with LightGBM in Python. MIT -- upgini (πŸ₯‡21 Β· ⭐ 250) - Data search & enrichment library for Machine Learning Easily find and add.. BSD-3 -- deltapy (πŸ₯‰10 Β· ⭐ 520 Β· πŸ’€) - DeltaPy - Tabular Data Augmentation (by @firmai). ❗Unlicensed +- miceforest (πŸ₯‡23 Β· ⭐ 260) - Multiple Imputation with LightGBM in Python. MIT +- upgini (πŸ₯ˆ21 Β· ⭐ 250) - Data search & enrichment library for Machine Learning Easily find and add.. BSD-3 +- deltapy (πŸ₯‰13 Β· ⭐ 520 Β· πŸ’€) - DeltaPy - Tabular Data Augmentation (by @firmai). MIT

@@ -4567,21 +4571,21 @@ _Libraries for processing tabular and structured data._ _Libraries for optical character recognition (OCR) and text extraction from images or videos._ -
PaddleOCR (πŸ₯‡38 Β· ⭐ 34K) - Awesome multilingual OCR toolkits based on PaddlePaddle.. Apache-2 +
PaddleOCR (πŸ₯‡38 Β· ⭐ 35K) - Awesome multilingual OCR toolkits based on PaddlePaddle.. Apache-2 -- [GitHub](https://github.com/PaddlePaddle/PaddleOCR) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 6.7K Β· πŸ“¦ 1.9K Β· πŸ“‹ 8.2K - 11% open Β· ⏱️ 03.11.2023): +- [GitHub](https://github.com/PaddlePaddle/PaddleOCR) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 6.7K Β· πŸ“¦ 2K Β· πŸ“‹ 8.2K - 11% open Β· ⏱️ 16.11.2023): ``` git clone https://github.com/PaddlePaddle/PaddleOCR ``` -- [PyPi](https://pypi.org/project/paddleocr) (πŸ“₯ 94K / month Β· πŸ“¦ 30 Β· ⏱️ 15.09.2023): +- [PyPi](https://pypi.org/project/paddleocr) (πŸ“₯ 95K / month Β· πŸ“¦ 30 Β· ⏱️ 15.09.2023): ``` pip install paddleocr ```
EasyOCR (πŸ₯‡35 Β· ⭐ 20K) - Ready-to-use OCR with 80+ supported languages and all popular writing.. Apache-2 -- [GitHub](https://github.com/JaidedAI/EasyOCR) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 2.7K Β· πŸ“₯ 7.1M Β· πŸ“¦ 4.2K Β· πŸ“‹ 880 - 33% open Β· ⏱️ 04.09.2023): +- [GitHub](https://github.com/JaidedAI/EasyOCR) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 2.7K Β· πŸ“₯ 7.3M Β· πŸ“¦ 4.3K Β· πŸ“‹ 880 - 34% open Β· ⏱️ 04.09.2023): ``` git clone https://github.com/JaidedAI/EasyOCR @@ -4593,12 +4597,12 @@ _Libraries for optical character recognition (OCR) and text extraction from imag
OCRmyPDF (πŸ₯ˆ34 Β· ⭐ 10K) - OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them.. MPL-2.0 -- [GitHub](https://github.com/ocrmypdf/OCRmyPDF) (πŸ‘¨β€πŸ’» 87 Β· πŸ”€ 770 Β· πŸ“₯ 910 Β· πŸ“¦ 660 Β· πŸ“‹ 1K - 9% open Β· ⏱️ 08.11.2023): +- [GitHub](https://github.com/ocrmypdf/OCRmyPDF) (πŸ‘¨β€πŸ’» 87 Β· πŸ”€ 780 Β· πŸ“₯ 1K Β· πŸ“¦ 660 Β· πŸ“‹ 1K - 9% open Β· ⏱️ 16.11.2023): ``` git clone https://github.com/ocrmypdf/OCRmyPDF ``` -- [PyPi](https://pypi.org/project/ocrmypdf) (πŸ“₯ 51K / month): +- [PyPi](https://pypi.org/project/ocrmypdf) (πŸ“₯ 50K / month): ``` pip install ocrmypdf ``` @@ -4607,7 +4611,7 @@ _Libraries for optical character recognition (OCR) and text extraction from imag conda install -c conda-forge ocrmypdf ```
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Tesseract (πŸ₯ˆ34 Β· ⭐ 5.2K Β· πŸ“ˆ) - Python-tesseract is an optical character recognition (OCR).. Apache-2 +
Tesseract (πŸ₯ˆ34 Β· ⭐ 5.2K) - Python-tesseract is an optical character recognition (OCR) tool.. Apache-2 - [GitHub](https://github.com/madmaze/pytesseract) (πŸ‘¨β€πŸ’» 45 Β· πŸ”€ 680 Β· πŸ“‹ 350 - 3% open Β· ⏱️ 07.11.2023): @@ -4625,12 +4629,12 @@ _Libraries for optical character recognition (OCR) and text extraction from imag
tesserocr (πŸ₯ˆ31 Β· ⭐ 1.9K) - A Python wrapper for the tesseract-ocr API. MIT -- [GitHub](https://github.com/sirfz/tesserocr) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 260 Β· πŸ“₯ 61 Β· πŸ“¦ 900 Β· πŸ“‹ 270 - 18% open Β· ⏱️ 09.10.2023): +- [GitHub](https://github.com/sirfz/tesserocr) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 250 Β· πŸ“₯ 62 Β· πŸ“¦ 900 Β· πŸ“‹ 270 - 17% open Β· ⏱️ 09.10.2023): ``` git clone https://github.com/sirfz/tesserocr ``` -- [PyPi](https://pypi.org/project/tesserocr) (πŸ“₯ 63K / month Β· πŸ“¦ 72 Β· ⏱️ 09.10.2023): +- [PyPi](https://pypi.org/project/tesserocr) (πŸ“₯ 58K / month): ``` pip install tesserocr ``` @@ -4641,33 +4645,33 @@ _Libraries for optical character recognition (OCR) and text extraction from imag
MMOCR (πŸ₯‰27 Β· ⭐ 3.8K) - OpenMMLab Text Detection, Recognition and Understanding Toolbox. Apache-2 -- [GitHub](https://github.com/open-mmlab/mmocr) (πŸ‘¨β€πŸ’» 85 Β· πŸ”€ 690 Β· πŸ“¦ 91 Β· πŸ“‹ 860 - 14% open Β· ⏱️ 01.09.2023): +- [GitHub](https://github.com/open-mmlab/mmocr) (πŸ‘¨β€πŸ’» 85 Β· πŸ”€ 690 Β· πŸ“¦ 94 Β· πŸ“‹ 860 - 14% open Β· ⏱️ 01.09.2023): ``` git clone https://github.com/open-mmlab/mmocr ``` -- [PyPi](https://pypi.org/project/mmocr) (πŸ“₯ 5.5K / month): +- [PyPi](https://pypi.org/project/mmocr) (πŸ“₯ 5.6K / month): ``` pip install mmocr ```
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keras-ocr (πŸ₯‰26 Β· ⭐ 1.3K) - A packaged and flexible version of the CRAFT text detector and.. MIT +
keras-ocr (πŸ₯‰24 Β· ⭐ 1.3K Β· πŸ“‰) - A packaged and flexible version of the CRAFT text detector.. MIT -- [GitHub](https://github.com/faustomorales/keras-ocr) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 320 Β· πŸ“₯ 690K Β· πŸ“¦ 350 Β· πŸ“‹ 210 - 45% open Β· ⏱️ 06.11.2023): +- [GitHub](https://github.com/faustomorales/keras-ocr) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 300 Β· πŸ“₯ 700K Β· πŸ“¦ 350 Β· πŸ“‹ 210 - 45% open Β· ⏱️ 06.11.2023): ``` git clone https://github.com/faustomorales/keras-ocr ``` -- [PyPi](https://pypi.org/project/keras-ocr) (πŸ“₯ 12K / month Β· πŸ“¦ 8 Β· ⏱️ 06.11.2023): +- [PyPi](https://pypi.org/project/keras-ocr) (πŸ“₯ 12K / month): ``` pip install keras-ocr ``` -- [Conda](https://anaconda.org/anaconda/keras-ocr) (πŸ“₯ 290 Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/anaconda/keras-ocr) (πŸ“₯ 300 Β· ⏱️ 16.06.2023): ``` conda install -c anaconda keras-ocr ```
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calamari (πŸ₯‰21 Β· ⭐ 1K) - Line based ATR Engine based on OCRopy. Apache-2 +
calamari (πŸ₯‰22 Β· ⭐ 1K) - Line based ATR Engine based on OCRopy. Apache-2 - [GitHub](https://github.com/Calamari-OCR/calamari) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 200 Β· πŸ“‹ 260 - 22% open Β· ⏱️ 18.08.2023): @@ -4686,7 +4690,7 @@ _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) (πŸ“₯ 260 / month Β· ⏱️ 19.04.2019): +- [PyPi](https://pypi.org/project/aocr) (πŸ“₯ 230 / month): ``` pip install aocr ``` @@ -4725,7 +4729,7 @@ _Libraries for loading, collecting, and extracting data from a variety of data s _Libraries for web scraping, crawling, downloading, and mining as well as libraries._ -πŸ”— best-of-web-python - Web Scraping ( ⭐ 2K) - Collection of web-scraping and crawling libraries. +πŸ”— best-of-web-python - Web Scraping ( ⭐ 2.1K) - Collection of web-scraping and crawling libraries.
@@ -4747,7 +4751,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
Ray (πŸ₯‡44 Β· ⭐ 29K) - Ray is a unified framework for scaling AI and Python applications. Ray.. Apache-2 -- [GitHub](https://github.com/ray-project/ray) (πŸ‘¨β€πŸ’» 940 Β· πŸ”€ 4.7K Β· πŸ“₯ 110 Β· πŸ“¦ 12K Β· πŸ“‹ 16K - 20% open Β· ⏱️ 09.11.2023): +- [GitHub](https://github.com/ray-project/ray) (πŸ‘¨β€πŸ’» 940 Β· πŸ”€ 4.7K Β· πŸ“₯ 110 Β· πŸ“¦ 12K Β· πŸ“‹ 16K - 20% open Β· ⏱️ 16.11.2023): ``` git clone https://github.com/ray-project/ray @@ -4756,35 +4760,35 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ``` pip install ray ``` -- [Conda](https://anaconda.org/conda-forge/ray-tune) (πŸ“₯ 170K Β· ⏱️ 17.10.2023): +- [Conda](https://anaconda.org/conda-forge/ray-tune) (πŸ“₯ 170K Β· ⏱️ 15.11.2023): ``` conda install -c conda-forge ray-tune ```
dask (πŸ₯‡43 Β· ⭐ 12K) - Parallel computing with task scheduling. BSD-3 -- [GitHub](https://github.com/dask/dask) (πŸ‘¨β€πŸ’» 590 Β· πŸ”€ 1.6K Β· πŸ“¦ 54K Β· πŸ“‹ 5K - 19% open Β· ⏱️ 09.11.2023): +- [GitHub](https://github.com/dask/dask) (πŸ‘¨β€πŸ’» 590 Β· πŸ”€ 1.7K Β· πŸ“¦ 54K Β· πŸ“‹ 5K - 19% open Β· ⏱️ 10.11.2023): ``` git clone https://github.com/dask/dask ``` -- [PyPi](https://pypi.org/project/dask) (πŸ“₯ 7.1M / month Β· πŸ“¦ 3K Β· ⏱️ 27.10.2023): +- [PyPi](https://pypi.org/project/dask) (πŸ“₯ 7M / month Β· πŸ“¦ 3K Β· ⏱️ 10.11.2023): ``` pip install dask ``` -- [Conda](https://anaconda.org/conda-forge/dask) (πŸ“₯ 10M Β· ⏱️ 28.10.2023): +- [Conda](https://anaconda.org/conda-forge/dask) (πŸ“₯ 10M Β· ⏱️ 10.11.2023): ``` conda install -c conda-forge dask ```
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DeepSpeed (πŸ₯‡41 Β· ⭐ 29K) - DeepSpeed is a deep learning optimization library that makes.. Apache-2 +
DeepSpeed (πŸ₯‡41 Β· ⭐ 30K) - DeepSpeed is a deep learning optimization library that makes.. Apache-2 -- [GitHub](https://github.com/microsoft/DeepSpeed) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 3.4K Β· πŸ“¦ 4.7K Β· πŸ“‹ 2.2K - 36% open Β· ⏱️ 09.11.2023): +- [GitHub](https://github.com/microsoft/DeepSpeed) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 3.6K Β· πŸ“¦ 4.8K Β· πŸ“‹ 2.3K - 36% open Β· ⏱️ 15.11.2023): ``` git clone https://github.com/microsoft/DeepSpeed ``` -- [PyPi](https://pypi.org/project/deepspeed) (πŸ“₯ 400K / month Β· πŸ“¦ 85 Β· ⏱️ 04.11.2023): +- [PyPi](https://pypi.org/project/deepspeed) (πŸ“₯ 410K / month Β· πŸ“¦ 86 Β· ⏱️ 13.11.2023): ``` pip install deepspeed ``` @@ -4795,16 +4799,16 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
dask.distributed (πŸ₯‡40 Β· ⭐ 1.5K) - A distributed task scheduler for Dask. BSD-3 -- [GitHub](https://github.com/dask/distributed) (πŸ‘¨β€πŸ’» 320 Β· πŸ”€ 700 Β· πŸ“¦ 31K Β· πŸ“‹ 3.7K - 38% open Β· ⏱️ 07.11.2023): +- [GitHub](https://github.com/dask/distributed) (πŸ‘¨β€πŸ’» 320 Β· πŸ”€ 700 Β· πŸ“¦ 31K Β· πŸ“‹ 3.7K - 38% open Β· ⏱️ 16.11.2023): ``` git clone https://github.com/dask/distributed ``` -- [PyPi](https://pypi.org/project/distributed) (πŸ“₯ 4.4M / month Β· πŸ“¦ 1.3K Β· ⏱️ 27.10.2023): +- [PyPi](https://pypi.org/project/distributed) (πŸ“₯ 4.5M / month Β· πŸ“¦ 1.3K Β· ⏱️ 10.11.2023): ``` pip install distributed ``` -- [Conda](https://anaconda.org/conda-forge/distributed) (πŸ“₯ 13M Β· ⏱️ 27.10.2023): +- [Conda](https://anaconda.org/conda-forge/distributed) (πŸ“₯ 13M Β· ⏱️ 10.11.2023): ``` conda install -c conda-forge distributed ``` @@ -4821,26 +4825,14 @@ _Libraries that provide capabilities to distribute and parallelize machine learn pip install horovod ```
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H2O-3 (πŸ₯ˆ35 Β· ⭐ 6.5K) - H2O is an Open Source, Distributed, Fast & Scalable Machine Learning.. Apache-2 - -- [GitHub](https://github.com/h2oai/h2o-3) (πŸ‘¨β€πŸ’» 250 Β· πŸ”€ 2K Β· πŸ“¦ 21 Β· πŸ“‹ 9.2K - 29% open Β· ⏱️ 07.11.2023): - - ``` - git clone https://github.com/h2oai/h2o-3 - ``` -- [PyPi](https://pypi.org/project/h2o) (πŸ“₯ 380K / month Β· πŸ“¦ 81 Β· ⏱️ 08.11.2023): - ``` - pip install h2o - ``` -
-
BigDL (πŸ₯ˆ35 Β· ⭐ 4.5K) - Accelerate LLM with low-bit (FP4 / INT4 / FP8 / INT8) optimizations.. Apache-2 +
BigDL (πŸ₯ˆ36 Β· ⭐ 4.5K) - Accelerate LLM with low-bit (FP4 / INT4 / FP8 / INT8) optimizations.. Apache-2 -- [GitHub](https://github.com/intel-analytics/BigDL) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 1.1K Β· πŸ“¦ 45 Β· πŸ“‹ 2.1K - 38% open Β· ⏱️ 09.11.2023): +- [GitHub](https://github.com/intel-analytics/BigDL) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 1.2K Β· πŸ“₯ 20 Β· πŸ“¦ 46 Β· πŸ“‹ 2.2K - 40% open Β· ⏱️ 16.11.2023): ``` git clone https://github.com/intel-analytics/BigDL ``` -- [PyPi](https://pypi.org/project/bigdl) (πŸ“₯ 4.2K / month Β· πŸ“¦ 1 Β· ⏱️ 09.11.2023): +- [PyPi](https://pypi.org/project/bigdl) (πŸ“₯ 4.1K / month Β· πŸ“¦ 1 Β· ⏱️ 16.11.2023): ``` pip install bigdl ``` @@ -4853,14 +4845,26 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ```
+
H2O-3 (πŸ₯ˆ35 Β· ⭐ 6.5K) - H2O is an Open Source, Distributed, Fast & Scalable Machine Learning.. Apache-2 + +- [GitHub](https://github.com/h2oai/h2o-3) (πŸ‘¨β€πŸ’» 250 Β· πŸ”€ 2K Β· πŸ“¦ 21 Β· πŸ“‹ 9.2K - 29% open Β· ⏱️ 15.11.2023): + + ``` + git clone https://github.com/h2oai/h2o-3 + ``` +- [PyPi](https://pypi.org/project/h2o) (πŸ“₯ 390K / month Β· πŸ“¦ 81 Β· ⏱️ 08.11.2023): + ``` + pip install h2o + ``` +
metrics (πŸ₯ˆ35 Β· ⭐ 1.7K) - Torchmetrics - Machine learning metrics for distributed,.. Apache-2 -- [GitHub](https://github.com/Lightning-AI/torchmetrics) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 330 Β· πŸ“₯ 4.1K Β· πŸ“¦ 17K Β· πŸ“‹ 720 - 8% open Β· ⏱️ 02.11.2023): +- [GitHub](https://github.com/Lightning-AI/torchmetrics) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 330 Β· πŸ“₯ 4.2K Β· πŸ“¦ 17K Β· πŸ“‹ 720 - 8% open Β· ⏱️ 14.11.2023): ``` git clone https://github.com/Lightning-AI/metrics ``` -- [PyPi](https://pypi.org/project/metrics) (πŸ“₯ 6K / month Β· πŸ“¦ 13 Β· ⏱️ 28.04.2018): +- [PyPi](https://pypi.org/project/metrics) (πŸ“₯ 6.1K / month Β· πŸ“¦ 13 Β· ⏱️ 28.04.2018): ``` pip install metrics ``` @@ -4871,7 +4875,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
ColossalAI (πŸ₯ˆ34 Β· ⭐ 35K) - Making large AI models cheaper, faster and more accessible. Apache-2 -- [GitHub](https://github.com/hpcaitech/ColossalAI) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 3.9K Β· πŸ“¦ 270 Β· πŸ“‹ 1.4K - 21% open Β· ⏱️ 09.11.2023): +- [GitHub](https://github.com/hpcaitech/ColossalAI) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 3.9K Β· πŸ“¦ 270 Β· πŸ“‹ 1.4K - 21% open Β· ⏱️ 16.11.2023): ``` git clone https://github.com/hpcaitech/colossalai @@ -4879,12 +4883,12 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
FairScale (πŸ₯ˆ31 Β· ⭐ 2.6K Β· πŸ’€) - PyTorch extensions for high performance and large scale.. BSD-3 -- [GitHub](https://github.com/facebookresearch/fairscale) (πŸ‘¨β€πŸ’» 72 Β· πŸ”€ 240 Β· πŸ“¦ 3.3K Β· πŸ“‹ 350 - 19% open Β· ⏱️ 20.04.2023): +- [GitHub](https://github.com/facebookresearch/fairscale) (πŸ‘¨β€πŸ’» 72 Β· πŸ”€ 240 Β· πŸ“¦ 3.4K Β· πŸ“‹ 350 - 19% open Β· ⏱️ 20.04.2023): ``` git clone https://github.com/facebookresearch/fairscale ``` -- [PyPi](https://pypi.org/project/fairscale) (πŸ“₯ 460K / month Β· πŸ“¦ 58 Β· ⏱️ 11.12.2022): +- [PyPi](https://pypi.org/project/fairscale) (πŸ“₯ 440K / month Β· πŸ“¦ 58 Β· ⏱️ 11.12.2022): ``` pip install fairscale ``` @@ -4895,24 +4899,24 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
SynapseML (πŸ₯ˆ30 Β· ⭐ 4.6K) - Simple and Distributed Machine Learning. MIT -- [GitHub](https://github.com/microsoft/SynapseML) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 800 Β· πŸ“‹ 720 - 45% open Β· ⏱️ 06.11.2023): +- [GitHub](https://github.com/microsoft/SynapseML) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 800 Β· πŸ“‹ 720 - 45% open Β· ⏱️ 16.11.2023): ``` git clone https://github.com/microsoft/SynapseML ``` -- [PyPi](https://pypi.org/project/synapseml) (πŸ“₯ 320K / month Β· πŸ“¦ 3 Β· ⏱️ 02.11.2023): +- [PyPi](https://pypi.org/project/synapseml) (πŸ“₯ 340K / month Β· πŸ“¦ 3 Β· ⏱️ 02.11.2023): ``` pip install synapseml ```
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mpi4py (πŸ₯ˆ29 Β· ⭐ 700) - Python bindings for MPI. BSD-2 +
mpi4py (πŸ₯ˆ29 Β· ⭐ 710) - Python bindings for MPI. BSD-2 -- [GitHub](https://github.com/mpi4py/mpi4py) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 100 Β· πŸ“₯ 18K Β· πŸ“‹ 130 - 8% open Β· ⏱️ 09.11.2023): +- [GitHub](https://github.com/mpi4py/mpi4py) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 100 Β· πŸ“₯ 18K Β· πŸ“‹ 130 - 8% open Β· ⏱️ 15.11.2023): ``` git clone https://github.com/mpi4py/mpi4py ``` -- [PyPi](https://pypi.org/project/mpi4py) (πŸ“₯ 200K / month Β· πŸ“¦ 720 Β· ⏱️ 04.10.2023): +- [PyPi](https://pypi.org/project/mpi4py) (πŸ“₯ 190K / month Β· πŸ“¦ 720 Β· ⏱️ 04.10.2023): ``` pip install mpi4py ``` @@ -4923,44 +4927,44 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
Mesh (πŸ₯‰28 Β· ⭐ 1.5K) - Mesh TensorFlow: Model Parallelism Made Easier. Apache-2 -- [GitHub](https://github.com/tensorflow/mesh) (πŸ‘¨β€πŸ’» 50 Β· πŸ”€ 240 Β· πŸ“¦ 860 Β· πŸ“‹ 110 - 85% open Β· ⏱️ 16.05.2023): +- [GitHub](https://github.com/tensorflow/mesh) (πŸ‘¨β€πŸ’» 50 Β· πŸ”€ 240 Β· πŸ“¦ 870 Β· πŸ“‹ 110 - 85% open Β· ⏱️ 16.05.2023): ``` git clone https://github.com/tensorflow/mesh ``` -- [PyPi](https://pypi.org/project/mesh-tensorflow) (πŸ“₯ 61K / month Β· πŸ“¦ 33 Β· ⏱️ 15.05.2022): +- [PyPi](https://pypi.org/project/mesh-tensorflow) (πŸ“₯ 78K / month Β· πŸ“¦ 33 Β· ⏱️ 15.05.2022): ``` pip install mesh-tensorflow ```
Submit it (πŸ₯‰28 Β· ⭐ 980) - Python 3.8+ toolbox for submitting jobs to Slurm. MIT -- [GitHub](https://github.com/facebookincubator/submitit) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 100 Β· πŸ“¦ 1.7K Β· πŸ“‹ 110 - 32% open Β· ⏱️ 05.10.2023): +- [GitHub](https://github.com/facebookincubator/submitit) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 110 Β· πŸ“¦ 1.8K Β· πŸ“‹ 110 - 32% open Β· ⏱️ 09.11.2023): ``` git clone https://github.com/facebookincubator/submitit ``` -- [PyPi](https://pypi.org/project/submitit) (πŸ“₯ 170K / month Β· πŸ“¦ 15 Β· ⏱️ 05.10.2023): +- [PyPi](https://pypi.org/project/submitit) (πŸ“₯ 170K / month Β· πŸ“¦ 17 Β· ⏱️ 09.11.2023): ``` pip install submitit ``` -- [Conda](https://anaconda.org/conda-forge/submitit) (πŸ“₯ 32K Β· ⏱️ 05.10.2023): +- [Conda](https://anaconda.org/conda-forge/submitit) (πŸ“₯ 33K Β· ⏱️ 05.10.2023): ``` conda install -c conda-forge submitit ```
dask-ml (πŸ₯‰28 Β· ⭐ 870 Β· πŸ’€) - Scalable Machine Learning with Dask. BSD-3 -- [GitHub](https://github.com/dask/dask-ml) (πŸ‘¨β€πŸ’» 77 Β· πŸ”€ 240 Β· πŸ“¦ 880 Β· πŸ“‹ 520 - 51% open Β· ⏱️ 24.03.2023): +- [GitHub](https://github.com/dask/dask-ml) (πŸ‘¨β€πŸ’» 77 Β· πŸ”€ 240 Β· πŸ“¦ 890 Β· πŸ“‹ 520 - 51% open Β· ⏱️ 24.03.2023): ``` git clone https://github.com/dask/dask-ml ``` -- [PyPi](https://pypi.org/project/dask-ml) (πŸ“₯ 370K / month Β· πŸ“¦ 72 Β· ⏱️ 06.05.2020): +- [PyPi](https://pypi.org/project/dask-ml) (πŸ“₯ 370K / month Β· πŸ“¦ 73 Β· ⏱️ 06.05.2020): ``` pip install dask-ml ``` -- [Conda](https://anaconda.org/conda-forge/dask-ml) (πŸ“₯ 780K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/dask-ml) (πŸ“₯ 790K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge dask-ml ``` @@ -4972,7 +4976,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ``` git clone https://github.com/yahoo/TensorFlowOnSpark ``` -- [PyPi](https://pypi.org/project/tensorflowonspark) (πŸ“₯ 460K / month Β· πŸ“¦ 5 Β· ⏱️ 21.04.2022): +- [PyPi](https://pypi.org/project/tensorflowonspark) (πŸ“₯ 500K / month Β· πŸ“¦ 5 Β· ⏱️ 21.04.2022): ``` pip install tensorflowonspark ``` @@ -5000,14 +5004,14 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ``` git clone https://github.com/learning-at-home/hivemind ``` -- [PyPi](https://pypi.org/project/hivemind) (πŸ“₯ 2.9K / month Β· πŸ“¦ 6 Β· ⏱️ 31.08.2023): +- [PyPi](https://pypi.org/project/hivemind) (πŸ“₯ 3.1K / month Β· πŸ“¦ 6 Β· ⏱️ 31.08.2023): ``` pip install hivemind ```
MMLSpark (πŸ₯‰23 Β· ⭐ 4.6K) - Simple and Distributed Machine Learning. MIT -- [GitHub](https://github.com/microsoft/SynapseML) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 800 Β· πŸ“‹ 720 - 45% open Β· ⏱️ 06.11.2023): +- [GitHub](https://github.com/microsoft/SynapseML) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 800 Β· πŸ“‹ 720 - 45% open Β· ⏱️ 16.11.2023): ``` git clone https://github.com/microsoft/SynapseML @@ -5028,7 +5032,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ``` conda install -c nusdbsystem singa ``` -- [Docker Hub](https://hub.docker.com/r/apache/singa) (πŸ“₯ 4.3K Β· ⭐ 4 Β· ⏱️ 31.05.2022): +- [Docker Hub](https://hub.docker.com/r/apache/singa) (πŸ“₯ 4.4K Β· ⭐ 4 Β· ⏱️ 31.05.2022): ``` docker pull apache/singa ``` @@ -5040,19 +5044,19 @@ _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) (πŸ“₯ 640 / month Β· πŸ“¦ 1 Β· ⏱️ 07.07.2022): +- [PyPi](https://pypi.org/project/analytics-zoo) (πŸ“₯ 450 / month Β· πŸ“¦ 1 Β· ⏱️ 07.07.2022): ``` pip install analytics-zoo ```
-
launchpad (πŸ₯‰21 Β· ⭐ 300) - Launchpad is a library that simplifies writing distributed.. Apache-2 +
launchpad (πŸ₯‰20 Β· ⭐ 300) - Launchpad is a library that simplifies writing distributed.. Apache-2 -- [GitHub](https://github.com/google-deepmind/launchpad) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 33 Β· πŸ“¦ 72 Β· πŸ“‹ 39 - 46% open Β· ⏱️ 22.08.2023): +- [GitHub](https://github.com/google-deepmind/launchpad) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 33 Β· πŸ“¦ 74 Β· πŸ“‹ 39 - 46% open Β· ⏱️ 22.08.2023): ``` git clone https://github.com/deepmind/launchpad ``` -- [PyPi](https://pypi.org/project/dm-launchpad) (πŸ“₯ 2K / month Β· πŸ“¦ 1 Β· ⏱️ 28.04.2022): +- [PyPi](https://pypi.org/project/dm-launchpad) (πŸ“₯ 1.9K / month Β· πŸ“¦ 1 Β· ⏱️ 28.04.2022): ``` pip install dm-launchpad ``` @@ -5075,10 +5079,10 @@ _Libraries that provide capabilities to distribute and parallelize machine learn - TensorFrames (πŸ₯‰20 Β· ⭐ 750 Β· πŸ’€) - [DEPRECATED] Tensorflow wrapper for DataFrames on.. Apache-2 - sk-dist (πŸ₯‰20 Β· ⭐ 290 Β· πŸ’€) - Distributed scikit-learn meta-estimators in PySpark. Apache-2 - Fiber (πŸ₯‰17 Β· ⭐ 1K Β· πŸ’€) - Distributed Computing for AI Made Simple. Apache-2 -- parallelformers (πŸ₯‰17 Β· ⭐ 720 Β· πŸ’€) - Parallelformers: An Efficient Model Parallelization.. Apache-2 - bluefog (πŸ₯‰17 Β· ⭐ 290 Β· πŸ’€) - Distributed and decentralized training framework for PyTorch.. Apache-2 +- parallelformers (πŸ₯‰16 Β· ⭐ 720 Β· πŸ’€) - Parallelformers: An Efficient Model Parallelization.. Apache-2 - LazyCluster (πŸ₯‰13 Β· ⭐ 49 Β· πŸ’€) - Distributed machine learning made simple. Apache-2 -- autodist (πŸ₯‰10 Β· ⭐ 130 Β· πŸ’€) - Simple Distributed Deep Learning on TensorFlow. Apache-2 +- autodist (πŸ₯‰11 Β· ⭐ 130 Β· πŸ’€) - Simple Distributed Deep Learning on TensorFlow. Apache-2 - moolib (πŸ₯‰9 Β· ⭐ 360 Β· πŸ’€) - A library for distributed ML training with PyTorch. MIT

@@ -5089,14 +5093,14 @@ _Libraries that provide capabilities to distribute and parallelize machine learn _Libraries for hyperparameter optimization, automl and neural architecture search._ -
featuretools (πŸ₯‡34 Β· ⭐ 6.8K) - An open source python library for automated feature engineering. BSD-3 +
featuretools (πŸ₯‡34 Β· ⭐ 6.9K) - An open source python library for automated feature engineering. BSD-3 -- [GitHub](https://github.com/alteryx/featuretools) (πŸ‘¨β€πŸ’» 71 Β· πŸ”€ 850 Β· πŸ“¦ 1.4K Β· πŸ“‹ 970 - 17% open Β· ⏱️ 26.10.2023): +- [GitHub](https://github.com/alteryx/featuretools) (πŸ‘¨β€πŸ’» 71 Β· πŸ”€ 850 Β· πŸ“¦ 1.5K Β· πŸ“‹ 970 - 17% open Β· ⏱️ 26.10.2023): ``` git clone https://github.com/alteryx/featuretools ``` -- [PyPi](https://pypi.org/project/featuretools) (πŸ“₯ 62K / month Β· πŸ“¦ 77 Β· ⏱️ 26.10.2023): +- [PyPi](https://pypi.org/project/featuretools) (πŸ“₯ 61K / month Β· πŸ“¦ 77 Β· ⏱️ 26.10.2023): ``` pip install featuretools ``` @@ -5107,12 +5111,12 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
Ax (πŸ₯‡34 Β· ⭐ 2.2K) - Adaptive Experimentation Platform. MIT -- [GitHub](https://github.com/facebook/Ax) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 270 Β· πŸ“¦ 570 Β· πŸ“‹ 610 - 8% open Β· ⏱️ 09.11.2023): +- [GitHub](https://github.com/facebook/Ax) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 280 Β· πŸ“¦ 580 Β· πŸ“‹ 620 - 8% open Β· ⏱️ 15.11.2023): ``` git clone https://github.com/facebook/Ax ``` -- [PyPi](https://pypi.org/project/ax-platform) (πŸ“₯ 120K / month Β· πŸ“¦ 25 Β· ⏱️ 11.08.2023): +- [PyPi](https://pypi.org/project/ax-platform) (πŸ“₯ 110K / month Β· πŸ“¦ 28 Β· ⏱️ 13.11.2023): ``` pip install ax-platform ``` @@ -5123,19 +5127,19 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
NNI (πŸ₯‡33 Β· ⭐ 13K) - An open source AutoML toolkit for automate machine learning lifecycle,.. MIT -- [GitHub](https://github.com/microsoft/nni) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 1.8K Β· πŸ“¦ 490 Β· πŸ“‹ 2K - 16% open Β· ⏱️ 26.10.2023): +- [GitHub](https://github.com/microsoft/nni) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 1.8K Β· πŸ“¦ 500 Β· πŸ“‹ 2K - 16% open Β· ⏱️ 26.10.2023): ``` git clone https://github.com/microsoft/nni ``` -- [PyPi](https://pypi.org/project/nni) (πŸ“₯ 19K / month Β· πŸ“¦ 35 Β· ⏱️ 14.09.2023): +- [PyPi](https://pypi.org/project/nni) (πŸ“₯ 18K / month Β· πŸ“¦ 35 Β· ⏱️ 14.09.2023): ``` pip install nni ```
Hyperopt (πŸ₯‡33 Β· ⭐ 6.9K) - Distributed Asynchronous Hyperparameter Optimization in Python. BSD-3 -- [GitHub](https://github.com/hyperopt/hyperopt) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 1K Β· πŸ“¦ 12K Β· πŸ“‹ 700 - 49% open Β· ⏱️ 29.09.2023): +- [GitHub](https://github.com/hyperopt/hyperopt) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 1K Β· πŸ“¦ 13K Β· πŸ“‹ 710 - 49% open Β· ⏱️ 29.09.2023): ``` git clone https://github.com/hyperopt/hyperopt @@ -5151,7 +5155,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
BoTorch (πŸ₯‡33 Β· ⭐ 2.8K) - Bayesian optimization in PyTorch. MIT -- [GitHub](https://github.com/pytorch/botorch) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 340 Β· πŸ“¦ 730 Β· πŸ“‹ 450 - 14% open Β· ⏱️ 09.11.2023): +- [GitHub](https://github.com/pytorch/botorch) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 340 Β· πŸ“¦ 740 Β· πŸ“‹ 450 - 14% open Β· ⏱️ 15.11.2023): ``` git clone https://github.com/pytorch/botorch @@ -5160,35 +5164,35 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` pip install botorch ``` -- [Conda](https://anaconda.org/conda-forge/botorch) (πŸ“₯ 92K Β· ⏱️ 07.11.2023): +- [Conda](https://anaconda.org/conda-forge/botorch) (πŸ“₯ 93K Β· ⏱️ 07.11.2023): ``` conda install -c conda-forge botorch ```
Keras Tuner (πŸ₯ˆ32 Β· ⭐ 2.8K) - A Hyperparameter Tuning Library for Keras. Apache-2 -- [GitHub](https://github.com/keras-team/keras-tuner) (πŸ‘¨β€πŸ’» 59 Β· πŸ”€ 380 Β· πŸ“¦ 2.8K Β· πŸ“‹ 470 - 43% open Β· ⏱️ 07.11.2023): +- [GitHub](https://github.com/keras-team/keras-tuner) (πŸ‘¨β€πŸ’» 59 Β· πŸ”€ 380 Β· πŸ“¦ 2.9K Β· πŸ“‹ 470 - 43% open Β· ⏱️ 07.11.2023): ``` git clone https://github.com/keras-team/keras-tuner ``` -- [PyPi](https://pypi.org/project/keras-tuner) (πŸ“₯ 190K / month Β· πŸ“¦ 60 Β· ⏱️ 07.11.2023): +- [PyPi](https://pypi.org/project/keras-tuner) (πŸ“₯ 180K / month Β· πŸ“¦ 60 Β· ⏱️ 07.11.2023): ``` pip install keras-tuner ``` -- [Conda](https://anaconda.org/conda-forge/keras-tuner) (πŸ“₯ 26K Β· ⏱️ 24.10.2023): +- [Conda](https://anaconda.org/conda-forge/keras-tuner) (πŸ“₯ 26K Β· ⏱️ 10.11.2023): ``` conda install -c conda-forge keras-tuner ```
AutoKeras (πŸ₯ˆ31 Β· ⭐ 9K) - AutoML library for deep learning. Apache-2 -- [GitHub](https://github.com/keras-team/autokeras) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 1.4K Β· πŸ“₯ 16K Β· πŸ“¦ 590 Β· πŸ“‹ 890 - 14% open Β· ⏱️ 02.10.2023): +- [GitHub](https://github.com/keras-team/autokeras) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 1.4K Β· πŸ“₯ 17K Β· πŸ“¦ 590 Β· πŸ“‹ 890 - 14% open Β· ⏱️ 02.10.2023): ``` git clone https://github.com/keras-team/autokeras ``` -- [PyPi](https://pypi.org/project/autokeras) (πŸ“₯ 12K / month Β· πŸ“¦ 11 Β· ⏱️ 30.04.2022): +- [PyPi](https://pypi.org/project/autokeras) (πŸ“₯ 13K / month Β· πŸ“¦ 11 Β· ⏱️ 30.04.2022): ``` pip install autokeras ``` @@ -5200,7 +5204,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/automl/auto-sklearn ``` -- [PyPi](https://pypi.org/project/auto-sklearn) (πŸ“₯ 21K / month Β· πŸ“¦ 39 Β· ⏱️ 20.09.2022): +- [PyPi](https://pypi.org/project/auto-sklearn) (πŸ“₯ 20K / month Β· πŸ“¦ 39 Β· ⏱️ 20.09.2022): ``` pip install auto-sklearn ``` @@ -5211,7 +5215,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
Bayesian Optimization (πŸ₯ˆ31 Β· ⭐ 7.1K) - A Python implementation of global optimization with.. MIT -- [GitHub](https://github.com/bayesian-optimization/BayesianOptimization) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 1.5K Β· πŸ“₯ 140 Β· πŸ“¦ 2.2K Β· πŸ“‹ 320 - 3% open Β· ⏱️ 14.07.2023): +- [GitHub](https://github.com/bayesian-optimization/BayesianOptimization) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 1.5K Β· πŸ“₯ 140 Β· πŸ“¦ 2.2K Β· πŸ“‹ 320 - 4% open Β· ⏱️ 14.07.2023): ``` git clone https://github.com/fmfn/BayesianOptimization @@ -5223,44 +5227,44 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
nevergrad (πŸ₯ˆ31 Β· ⭐ 3.7K) - A Python toolbox for performing gradient-free optimization. MIT -- [GitHub](https://github.com/facebookresearch/nevergrad) (πŸ‘¨β€πŸ’» 50 Β· πŸ”€ 340 Β· πŸ“¦ 560 Β· πŸ“‹ 290 - 40% open Β· ⏱️ 11.10.2023): +- [GitHub](https://github.com/facebookresearch/nevergrad) (πŸ‘¨β€πŸ’» 50 Β· πŸ”€ 340 Β· πŸ“¦ 560 Β· πŸ“‹ 290 - 40% open Β· ⏱️ 10.11.2023): ``` git clone https://github.com/facebookresearch/nevergrad ``` -- [PyPi](https://pypi.org/project/nevergrad) (πŸ“₯ 81K / month Β· πŸ“¦ 27 Β· ⏱️ 10.10.2023): +- [PyPi](https://pypi.org/project/nevergrad) (πŸ“₯ 78K / month Β· πŸ“¦ 27 Β· ⏱️ 10.10.2023): ``` pip install nevergrad ``` -- [Conda](https://anaconda.org/conda-forge/nevergrad) (πŸ“₯ 43K Β· ⏱️ 21.09.2023): +- [Conda](https://anaconda.org/conda-forge/nevergrad) (πŸ“₯ 44K Β· ⏱️ 21.09.2023): ``` conda install -c conda-forge nevergrad ```
AutoGluon (πŸ₯ˆ29 Β· ⭐ 6.4K) - AutoGluon: AutoML for Image, Text, Time Series, and.. Apache-2 -- [GitHub](https://github.com/autogluon/autogluon) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 780 Β· πŸ“¦ 2 Β· πŸ“‹ 1.1K - 23% open Β· ⏱️ 09.11.2023): +- [GitHub](https://github.com/autogluon/autogluon) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 800 Β· πŸ“¦ 2 Β· πŸ“‹ 1.1K - 24% open Β· ⏱️ 16.11.2023): ``` git clone https://github.com/autogluon/autogluon ``` -- [PyPi](https://pypi.org/project/autogluon) (πŸ“₯ 48K / month Β· πŸ“¦ 7 Β· ⏱️ 09.11.2023): +- [PyPi](https://pypi.org/project/autogluon) (πŸ“₯ 48K / month Β· πŸ“¦ 7 Β· ⏱️ 16.11.2023): ``` pip install autogluon ``` -- [Docker Hub](https://hub.docker.com/r/autogluon/autogluon) (πŸ“₯ 4.4K Β· ⭐ 15 Β· ⏱️ 26.07.2023): +- [Docker Hub](https://hub.docker.com/r/autogluon/autogluon) (πŸ“₯ 4.5K Β· ⭐ 15 Β· ⏱️ 26.07.2023): ``` docker pull autogluon/autogluon ```
mljar-supervised (πŸ₯ˆ29 Β· ⭐ 2.8K) - Python package for AutoML on Tabular Data with Feature.. MIT -- [GitHub](https://github.com/mljar/mljar-supervised) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 370 Β· πŸ“¦ 90 Β· πŸ“‹ 580 - 21% open Β· ⏱️ 13.10.2023): +- [GitHub](https://github.com/mljar/mljar-supervised) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 370 Β· πŸ“¦ 93 Β· πŸ“‹ 590 - 22% open Β· ⏱️ 13.10.2023): ``` git clone https://github.com/mljar/mljar-supervised ``` -- [PyPi](https://pypi.org/project/mljar-supervised) (πŸ“₯ 5.9K / month Β· πŸ“¦ 2 Β· ⏱️ 26.09.2023): +- [PyPi](https://pypi.org/project/mljar-supervised) (πŸ“₯ 5.8K / month Β· πŸ“¦ 2 Β· ⏱️ 26.09.2023): ``` pip install mljar-supervised ``` @@ -5276,14 +5280,14 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/maxpumperla/hyperas ``` -- [PyPi](https://pypi.org/project/hyperas) (πŸ“₯ 12K / month Β· πŸ“¦ 24 Β· ⏱️ 28.02.2019): +- [PyPi](https://pypi.org/project/hyperas) (πŸ“₯ 11K / month Β· πŸ“¦ 24 Β· ⏱️ 28.02.2019): ``` pip install hyperas ```
GPyOpt (πŸ₯ˆ25 Β· ⭐ 900 Β· πŸ’€) - Gaussian Process Optimization using GPy. BSD-3 -- [GitHub](https://github.com/SheffieldML/GPyOpt) (πŸ‘¨β€πŸ’» 49 Β· πŸ”€ 250 Β· πŸ“¦ 460 Β· πŸ“‹ 290 - 35% open Β· ⏱️ 17.01.2023): +- [GitHub](https://github.com/SheffieldML/GPyOpt) (πŸ‘¨β€πŸ’» 49 Β· πŸ”€ 250 Β· πŸ“¦ 470 Β· πŸ“‹ 290 - 35% open Β· ⏱️ 17.01.2023): ``` git clone https://github.com/SheffieldML/GPyOpt @@ -5295,24 +5299,24 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
featurewiz (πŸ₯ˆ24 Β· ⭐ 490) - Use advanced feature engineering strategies and select best.. Apache-2 -- [GitHub](https://github.com/AutoViML/featurewiz) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 83 Β· πŸ“¦ 55 Β· πŸ“‹ 81 - 6% open Β· ⏱️ 01.11.2023): +- [GitHub](https://github.com/AutoViML/featurewiz) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 83 Β· πŸ“¦ 55 Β· πŸ“‹ 81 - 6% open Β· ⏱️ 10.11.2023): ``` git clone https://github.com/AutoViML/featurewiz ``` -- [PyPi](https://pypi.org/project/featurewiz) (πŸ“₯ 11K / month Β· πŸ“¦ 2 Β· ⏱️ 01.11.2023): +- [PyPi](https://pypi.org/project/featurewiz) (πŸ“₯ 14K / month Β· πŸ“¦ 2 Β· ⏱️ 01.11.2023): ``` pip install featurewiz ```
FEDOT (πŸ₯‰23 Β· ⭐ 560) - Automated modeling and machine learning framework FEDOT. BSD-3 -- [GitHub](https://github.com/aimclub/FEDOT) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 77 Β· πŸ“¦ 41 Β· πŸ“‹ 490 - 15% open Β· ⏱️ 01.11.2023): +- [GitHub](https://github.com/aimclub/FEDOT) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 77 Β· πŸ“¦ 41 Β· πŸ“‹ 500 - 16% open Β· ⏱️ 14.11.2023): ``` git clone https://github.com/nccr-itmo/FEDOT ``` -- [PyPi](https://pypi.org/project/fedot) (πŸ“₯ 990 / month Β· πŸ“¦ 1 Β· ⏱️ 25.07.2023): +- [PyPi](https://pypi.org/project/fedot) (πŸ“₯ 1K / month Β· πŸ“¦ 1 Β· ⏱️ 25.07.2023): ``` pip install fedot ``` @@ -5324,7 +5328,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/SimonBlanke/Hyperactive ``` -- [PyPi](https://pypi.org/project/hyperactive) (πŸ“₯ 5.9K / month Β· πŸ“¦ 5 Β· ⏱️ 24.10.2023): +- [PyPi](https://pypi.org/project/hyperactive) (πŸ“₯ 5.3K / month Β· πŸ“¦ 5 Β· ⏱️ 24.10.2023): ``` pip install hyperactive ``` @@ -5336,7 +5340,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/nidhaloff/igel ``` -- [PyPi](https://pypi.org/project/igel) (πŸ“₯ 180 / month Β· ⏱️ 19.11.2021): +- [PyPi](https://pypi.org/project/igel) (πŸ“₯ 250 / month Β· ⏱️ 19.11.2021): ``` pip install igel ``` @@ -5348,52 +5352,52 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/ScottfreeLLC/AlphaPy ``` -- [PyPi](https://pypi.org/project/alphapy) (πŸ“₯ 220 / month Β· ⏱️ 29.08.2020): +- [PyPi](https://pypi.org/project/alphapy) (πŸ“₯ 190 / month Β· ⏱️ 29.08.2020): ``` pip install alphapy ```
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opytimizer (πŸ₯‰19 Β· ⭐ 580) - Opytimizer is a Python library consisting of meta-heuristic.. Apache-2 +
Auto ViML (πŸ₯‰20 Β· ⭐ 470) - Automatically Build Multiple ML Models with a Single Line of Code... Apache-2 -- [GitHub](https://github.com/gugarosa/opytimizer) (πŸ‘¨β€πŸ’» 4 Β· πŸ”€ 38 Β· πŸ“¦ 16 Β· ⏱️ 22.09.2023): +- [GitHub](https://github.com/AutoViML/Auto_ViML) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 94 Β· πŸ“¦ 23 Β· πŸ“‹ 30 - 10% open Β· ⏱️ 21.05.2023): ``` - git clone https://github.com/gugarosa/opytimizer + git clone https://github.com/AutoViML/Auto_ViML ``` -- [PyPi](https://pypi.org/project/opytimizer) (πŸ“₯ 200 / month Β· ⏱️ 04.05.2022): +- [PyPi](https://pypi.org/project/autoviml) (πŸ“₯ 1.3K / month Β· πŸ“¦ 2 Β· ⏱️ 01.06.2022): ``` - pip install opytimizer + pip install autoviml ```
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Auto ViML (πŸ₯‰19 Β· ⭐ 470) - Automatically Build Multiple ML Models with a Single Line of Code... Apache-2 +
opytimizer (πŸ₯‰19 Β· ⭐ 580) - Opytimizer is a Python library consisting of meta-heuristic.. Apache-2 -- [GitHub](https://github.com/AutoViML/Auto_ViML) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 94 Β· πŸ“¦ 23 Β· πŸ“‹ 29 - 10% open Β· ⏱️ 21.05.2023): +- [GitHub](https://github.com/gugarosa/opytimizer) (πŸ‘¨β€πŸ’» 4 Β· πŸ”€ 38 Β· πŸ“¦ 16 Β· ⏱️ 22.09.2023): ``` - git clone https://github.com/AutoViML/Auto_ViML + git clone https://github.com/gugarosa/opytimizer ``` -- [PyPi](https://pypi.org/project/autoviml) (πŸ“₯ 1.1K / month Β· πŸ“¦ 2 Β· ⏱️ 01.06.2022): +- [PyPi](https://pypi.org/project/opytimizer) (πŸ“₯ 290 / month Β· ⏱️ 04.05.2022): ``` - pip install autoviml + pip install opytimizer ```
Show 31 hidden projects... - Optuna (πŸ₯‡39 Β· ⭐ 8.9K) - A hyperparameter optimization framework. ❗Unlicensed -- TPOT (πŸ₯‡33 Β· ⭐ 9.3K) - A Python Automated Machine Learning tool that optimizes machine.. ❗️LGPL-3.0 - scikit-optimize (πŸ₯‡33 Β· ⭐ 2.7K Β· πŸ’€) - Sequential model-based optimization with a.. BSD-3 +- TPOT (πŸ₯ˆ32 Β· ⭐ 9.3K) - A Python Automated Machine Learning tool that optimizes machine.. ❗️LGPL-3.0 - SMAC3 (πŸ₯ˆ27 Β· ⭐ 920) - SMAC3: A Versatile Bayesian Optimization Package for.. ❗️BSD-1-Clause -- lazypredict (πŸ₯ˆ26 Β· ⭐ 2.2K Β· πŸ’€) - Lazy Predict help build a lot of basic models without much.. MIT +- lazypredict (πŸ₯ˆ26 Β· ⭐ 2.3K Β· πŸ’€) - Lazy Predict help build a lot of basic models without much.. MIT - AdaNet (πŸ₯ˆ24 Β· ⭐ 3.5K Β· πŸ’€) - Fast and flexible AutoML with learning guarantees. Apache-2 -- Orion (πŸ₯ˆ24 Β· ⭐ 270) - Asynchronous Distributed Hyperparameter Optimization. BSD-3 -- Talos (πŸ₯‰23 Β· ⭐ 1.6K Β· πŸ’€) - Hyperparameter Optimization for TensorFlow, Keras and PyTorch. MIT +- Talos (πŸ₯ˆ24 Β· ⭐ 1.6K Β· πŸ’€) - Hyperparameter Optimization for TensorFlow, Keras and PyTorch. MIT +- Orion (πŸ₯‰23 Β· ⭐ 270) - Asynchronous Distributed Hyperparameter Optimization. BSD-3 - auto_ml (πŸ₯‰22 Β· ⭐ 1.6K Β· πŸ’€) - [UNMAINTAINED] Automated machine learning for analytics & production. MIT - Test Tube (πŸ₯‰22 Β· ⭐ 740 Β· πŸ’€) - Python library to easily log experiments and parallelize.. MIT - HpBandSter (πŸ₯‰22 Β· ⭐ 590 Β· πŸ’€) - a distributed Hyperband implementation on Steroids. BSD-3 +- lightwood (πŸ₯‰22 Β· ⭐ 390) - Lightwood is Legos for Machine Learning. ❗️GPL-3.0 - MLBox (πŸ₯‰21 Β· ⭐ 1.4K Β· πŸ’€) - MLBox is a powerful Automated Machine Learning python library. ❗️BSD-1-Clause - Neuraxle (πŸ₯‰21 Β· ⭐ 580 Β· πŸ’€) - The worlds cleanest AutoML library - Do hyperparameter tuning.. Apache-2 - optunity (πŸ₯‰21 Β· ⭐ 410 Β· πŸ’€) - optimization routines for hyperparameter tuning. BSD-3 -- lightwood (πŸ₯‰21 Β· ⭐ 390) - Lightwood is Legos for Machine Learning. ❗️GPL-3.0 - sklearn-deap (πŸ₯‰20 Β· ⭐ 740 Β· πŸ’€) - Use evolutionary algorithms instead of gridsearch in.. MIT - Dragonfly (πŸ₯‰19 Β· ⭐ 810 Β· πŸ’€) - An open source python library for scalable Bayesian optimisation. MIT - Auto Tune Models (πŸ₯‰18 Β· ⭐ 520 Β· πŸ’€) - Auto Tune Models - A multi-tenant, multi-data system for.. MIT @@ -5426,7 +5430,7 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst ``` git clone https://github.com/openai/gym ``` -- [PyPi](https://pypi.org/project/gym) (πŸ“₯ 530K / month Β· πŸ“¦ 2.7K Β· ⏱️ 04.10.2022): +- [PyPi](https://pypi.org/project/gym) (πŸ“₯ 620K / month Β· πŸ“¦ 2.7K Β· ⏱️ 04.10.2022): ``` pip install gym ``` @@ -5437,12 +5441,12 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
TF-Agents (πŸ₯‡32 Β· ⭐ 2.6K) - TF-Agents: A reliable, scalable and easy to use TensorFlow.. Apache-2 -- [GitHub](https://github.com/tensorflow/agents) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 690 Β· πŸ“¦ 1.3K Β· πŸ“‹ 640 - 28% open Β· ⏱️ 08.11.2023): +- [GitHub](https://github.com/tensorflow/agents) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 690 Β· πŸ“¦ 1.3K Β· πŸ“‹ 640 - 28% open Β· ⏱️ 14.11.2023): ``` git clone https://github.com/tensorflow/agents ``` -- [PyPi](https://pypi.org/project/tf-agents) (πŸ“₯ 37K / month Β· πŸ“¦ 5 Β· ⏱️ 03.10.2023): +- [PyPi](https://pypi.org/project/tf-agents) (πŸ“₯ 38K / month Β· πŸ“¦ 5 Β· ⏱️ 03.10.2023): ``` pip install tf-agents ``` @@ -5454,19 +5458,19 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst ``` git clone https://github.com/mwydmuch/ViZDoom ``` -- [PyPi](https://pypi.org/project/vizdoom) (πŸ“₯ 1.1K / month Β· πŸ“¦ 16 Β· ⏱️ 27.09.2023): +- [PyPi](https://pypi.org/project/vizdoom) (πŸ“₯ 1.5K / month Β· πŸ“¦ 16 Β· ⏱️ 27.09.2023): ``` pip install vizdoom ```
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FinRL (πŸ₯ˆ29 Β· ⭐ 8.3K) - FinRL: Financial Reinforcement Learning. MIT +
FinRL (πŸ₯ˆ30 Β· ⭐ 8.3K) - FinRL: Financial Reinforcement Learning. MIT -- [GitHub](https://github.com/AI4Finance-Foundation/FinRL) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 2K Β· πŸ“¦ 24 Β· πŸ“‹ 640 - 26% open Β· ⏱️ 01.11.2023): +- [GitHub](https://github.com/AI4Finance-Foundation/FinRL) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 2K Β· πŸ“¦ 26 Β· πŸ“‹ 640 - 26% open Β· ⏱️ 15.11.2023): ``` git clone https://github.com/AI4Finance-Foundation/FinRL ``` -- [PyPi](https://pypi.org/project/finrl) (πŸ“₯ 1.1K / month Β· ⏱️ 08.01.2022): +- [PyPi](https://pypi.org/project/finrl) (πŸ“₯ 1.2K / month Β· ⏱️ 08.01.2022): ``` pip install finrl ``` @@ -5478,23 +5482,23 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst ``` git clone https://github.com/google/dopamine ``` -- [PyPi](https://pypi.org/project/dopamine-rl) (πŸ“₯ 40K / month Β· πŸ“¦ 36 Β· ⏱️ 21.09.2022): +- [PyPi](https://pypi.org/project/dopamine-rl) (πŸ“₯ 39K / month Β· πŸ“¦ 36 Β· ⏱️ 21.09.2022): ``` pip install dopamine-rl ```
Acme (πŸ₯ˆ28 Β· ⭐ 3.2K) - A library of reinforcement learning components and agents. Apache-2 -- [GitHub](https://github.com/google-deepmind/acme) (πŸ‘¨β€πŸ’» 84 Β· πŸ”€ 400 Β· πŸ“¦ 170 Β· πŸ“‹ 260 - 21% open Β· ⏱️ 20.10.2023): +- [GitHub](https://github.com/google-deepmind/acme) (πŸ‘¨β€πŸ’» 84 Β· πŸ”€ 400 Β· πŸ“¦ 180 Β· πŸ“‹ 260 - 21% open Β· ⏱️ 20.10.2023): ``` git clone https://github.com/deepmind/acme ``` -- [PyPi](https://pypi.org/project/dm-acme) (πŸ“₯ 980 / month Β· πŸ“¦ 3 Β· ⏱️ 10.02.2022): +- [PyPi](https://pypi.org/project/dm-acme) (πŸ“₯ 920 / month Β· πŸ“¦ 3 Β· ⏱️ 10.02.2022): ``` pip install dm-acme ``` -- [Conda](https://anaconda.org/conda-forge/dm-acme) (πŸ“₯ 7.8K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/dm-acme) (πŸ“₯ 7.9K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge dm-acme ``` @@ -5518,23 +5522,11 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst ``` git clone https://github.com/tensorforce/tensorforce ``` -- [PyPi](https://pypi.org/project/tensorforce) (πŸ“₯ 690 / month Β· πŸ“¦ 2 Β· ⏱️ 30.08.2021): +- [PyPi](https://pypi.org/project/tensorforce) (πŸ“₯ 720 / month Β· πŸ“¦ 2 Β· ⏱️ 30.08.2021): ``` pip install tensorforce ```
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RLax (πŸ₯‰26 Β· ⭐ 1.1K) - A library of reinforcement learning building blocks in JAX. Apache-2 - -- [GitHub](https://github.com/google-deepmind/rlax) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 82 Β· πŸ“¦ 170 Β· πŸ“‹ 30 - 40% open Β· ⏱️ 17.10.2023): - - ``` - git clone https://github.com/deepmind/rlax - ``` -- [PyPi](https://pypi.org/project/rlax) (πŸ“₯ 410K / month Β· πŸ“¦ 2 Β· ⏱️ 09.01.2023): - ``` - pip install rlax - ``` -
PARL (πŸ₯‰25 Β· ⭐ 3.1K) - A high-performance distributed training framework for Reinforcement.. Apache-2 - [GitHub](https://github.com/PaddlePaddle/PARL) (πŸ‘¨β€πŸ’» 42 Β· πŸ”€ 810 Β· πŸ“¦ 120 Β· πŸ“‹ 500 - 20% open Β· ⏱️ 19.05.2023): @@ -5542,7 +5534,7 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst ``` git clone https://github.com/PaddlePaddle/PARL ``` -- [PyPi](https://pypi.org/project/parl) (πŸ“₯ 590 / month Β· πŸ“¦ 1 Β· ⏱️ 13.05.2022): +- [PyPi](https://pypi.org/project/parl) (πŸ“₯ 610 / month Β· πŸ“¦ 1 Β· ⏱️ 13.05.2022): ``` pip install parl ``` @@ -5554,11 +5546,23 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst ``` git clone https://github.com/rlworkgroup/garage ``` -- [PyPi](https://pypi.org/project/garage) (πŸ“₯ 610 / month Β· πŸ“¦ 2 Β· ⏱️ 23.03.2021): +- [PyPi](https://pypi.org/project/garage) (πŸ“₯ 660 / month Β· πŸ“¦ 2 Β· ⏱️ 23.03.2021): ``` pip install garage ```
+
RLax (πŸ₯‰25 Β· ⭐ 1.1K) - A library of reinforcement learning building blocks in JAX. Apache-2 + +- [GitHub](https://github.com/google-deepmind/rlax) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 82 Β· πŸ“¦ 180 Β· πŸ“‹ 30 - 40% open Β· ⏱️ 17.10.2023): + + ``` + git clone https://github.com/deepmind/rlax + ``` +- [PyPi](https://pypi.org/project/rlax) (πŸ“₯ 410K / month Β· πŸ“¦ 2 Β· ⏱️ 09.01.2023): + ``` + pip install rlax + ``` +
ReAgent (πŸ₯‰24 Β· ⭐ 3.5K) - A platform for Reasoning systems (Reinforcement Learning,.. BSD-3 - [GitHub](https://github.com/facebookresearch/ReAgent) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 500 Β· πŸ“‹ 140 - 47% open Β· ⏱️ 07.11.2023): @@ -5566,7 +5570,7 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst ``` git clone https://github.com/facebookresearch/ReAgent ``` -- [PyPi](https://pypi.org/project/reagent) (πŸ“₯ 22 / month Β· ⏱️ 27.05.2020): +- [PyPi](https://pypi.org/project/reagent) (πŸ“₯ 23 / month Β· ⏱️ 27.05.2020): ``` pip install reagent ``` @@ -5578,7 +5582,7 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst ``` git clone https://github.com/pfnet/pfrl ``` -- [PyPi](https://pypi.org/project/pfrl) (πŸ“₯ 480 / month Β· πŸ“¦ 1 Β· ⏱️ 16.07.2023): +- [PyPi](https://pypi.org/project/pfrl) (πŸ“₯ 470 / month Β· πŸ“¦ 1 Β· ⏱️ 16.07.2023): ``` pip install pfrl ``` @@ -5597,7 +5601,7 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
rliable (πŸ₯‰13 Β· ⭐ 630) - [NeurIPS21 Outstanding Paper] Library for reliable evaluation on RL.. Apache-2 -- [GitHub](https://github.com/google-research/rliable) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 41 Β· πŸ“¦ 95 Β· πŸ“‹ 13 - 15% open Β· ⏱️ 29.05.2023): +- [GitHub](https://github.com/google-research/rliable) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 41 Β· πŸ“¦ 100 Β· πŸ“‹ 13 - 15% open Β· ⏱️ 29.05.2023): ``` git clone https://github.com/google-research/rliable @@ -5610,7 +5614,7 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
Show 8 hidden projects... - baselines (πŸ₯ˆ29 Β· ⭐ 15K Β· πŸ’€) - OpenAI Baselines: high-quality implementations of reinforcement.. MIT -- keras-rl (πŸ₯ˆ29 Β· ⭐ 5.4K Β· πŸ’€) - Deep Reinforcement Learning for Keras. MIT +- keras-rl (πŸ₯ˆ29 Β· ⭐ 5.5K Β· πŸ’€) - Deep Reinforcement Learning for Keras. MIT - Stable Baselines (πŸ₯‰24 Β· ⭐ 3.9K Β· πŸ’€) - A fork of OpenAI Baselines, implementations of.. MIT - ChainerRL (πŸ₯‰24 Β· ⭐ 1.1K Β· πŸ’€) - ChainerRL is a deep reinforcement learning library built on top of.. MIT - TRFL (πŸ₯‰22 Β· ⭐ 3.1K Β· πŸ’€) - TensorFlow Reinforcement Learning. Apache-2 @@ -5628,7 +5632,7 @@ _Libraries for building and evaluating recommendation systems._
Recommenders (πŸ₯‡34 Β· ⭐ 17K) - Best Practices on Recommendation Systems. MIT -- [GitHub](https://github.com/recommenders-team/recommenders) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 2.8K Β· πŸ“₯ 440 Β· πŸ“¦ 87 Β· πŸ“‹ 810 - 19% open Β· ⏱️ 13.10.2023): +- [GitHub](https://github.com/recommenders-team/recommenders) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 2.8K Β· πŸ“₯ 450 Β· πŸ“¦ 87 Β· πŸ“‹ 820 - 19% open Β· ⏱️ 13.10.2023): ``` git clone https://github.com/microsoft/recommenders @@ -5661,7 +5665,7 @@ _Libraries for building and evaluating recommendation systems._ ``` git clone https://github.com/lyst/lightfm ``` -- [PyPi](https://pypi.org/project/lightfm) (πŸ“₯ 670K / month Β· πŸ“¦ 47 Β· ⏱️ 27.11.2020): +- [PyPi](https://pypi.org/project/lightfm) (πŸ“₯ 720K / month Β· πŸ“¦ 47 Β· ⏱️ 27.11.2020): ``` pip install lightfm ``` @@ -5677,7 +5681,7 @@ _Libraries for building and evaluating recommendation systems._ ``` git clone https://github.com/tensorflow/recommenders ``` -- [PyPi](https://pypi.org/project/tensorflow-recommenders) (πŸ“₯ 380K / month Β· πŸ“¦ 1 Β· ⏱️ 03.02.2023): +- [PyPi](https://pypi.org/project/tensorflow-recommenders) (πŸ“₯ 370K / month Β· πŸ“¦ 1 Β· ⏱️ 03.02.2023): ``` pip install tensorflow-recommenders ``` @@ -5705,26 +5709,26 @@ _Libraries for building and evaluating recommendation systems._ ``` git clone https://github.com/tensorflow/ranking ``` -- [PyPi](https://pypi.org/project/tensorflow_ranking) (πŸ“₯ 88K / month Β· πŸ“¦ 13 Β· ⏱️ 11.08.2023): +- [PyPi](https://pypi.org/project/tensorflow_ranking) (πŸ“₯ 90K / month Β· πŸ“¦ 13 Β· ⏱️ 11.08.2023): ``` pip install tensorflow_ranking ```
torchrec (πŸ₯ˆ28 Β· ⭐ 1.6K) - Pytorch domain library for recommendation systems. BSD-3 -- [GitHub](https://github.com/pytorch/torchrec) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 290 Β· πŸ“¦ 73 Β· πŸ“‹ 230 - 57% open Β· ⏱️ 09.11.2023): +- [GitHub](https://github.com/pytorch/torchrec) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 290 Β· πŸ“¦ 76 Β· πŸ“‹ 230 - 57% open Β· ⏱️ 16.11.2023): ``` git clone https://github.com/pytorch/torchrec ``` -- [PyPi](https://pypi.org/project/torchrec-nightly-cpu) (πŸ“₯ 67 / month Β· ⏱️ 12.05.2022): +- [PyPi](https://pypi.org/project/torchrec-nightly-cpu) (πŸ“₯ 76 / month Β· ⏱️ 12.05.2022): ``` pip install torchrec-nightly-cpu ```
Cornac (πŸ₯ˆ28 Β· ⭐ 760) - A Comparative Framework for Multimodal Recommender Systems. Apache-2 -- [GitHub](https://github.com/PreferredAI/cornac) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 120 Β· πŸ“¦ 180 Β· πŸ“‹ 130 - 5% open Β· ⏱️ 04.11.2023): +- [GitHub](https://github.com/PreferredAI/cornac) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 120 Β· πŸ“¦ 180 Β· πŸ“‹ 130 - 5% open Β· ⏱️ 15.11.2023): ``` git clone https://github.com/PreferredAI/cornac @@ -5740,12 +5744,12 @@ _Libraries for building and evaluating recommendation systems._
RecBole (πŸ₯‰27 Β· ⭐ 2.9K) - A unified, comprehensive and efficient recommendation library. MIT -- [GitHub](https://github.com/RUCAIBox/RecBole) (πŸ‘¨β€πŸ’» 69 Β· πŸ”€ 550 Β· πŸ“‹ 820 - 20% open Β· ⏱️ 08.11.2023): +- [GitHub](https://github.com/RUCAIBox/RecBole) (πŸ‘¨β€πŸ’» 69 Β· πŸ”€ 550 Β· πŸ“‹ 820 - 20% open Β· ⏱️ 15.11.2023): ``` git clone https://github.com/RUCAIBox/RecBole ``` -- [PyPi](https://pypi.org/project/recbole) (πŸ“₯ 3.5K / month Β· πŸ“¦ 2 Β· ⏱️ 31.10.2023): +- [PyPi](https://pypi.org/project/recbole) (πŸ“₯ 3.4K / month Β· πŸ“¦ 2 Β· ⏱️ 31.10.2023): ``` pip install recbole ``` @@ -5768,11 +5772,11 @@ _Libraries for building and evaluating recommendation systems._
Show 7 hidden projects... -- lkpy (πŸ₯‰23 Β· ⭐ 250) - Python recommendation toolkit. MIT +- lkpy (πŸ₯‰24 Β· ⭐ 250) - Python recommendation toolkit. MIT - tensorrec (πŸ₯‰21 Β· ⭐ 1.2K Β· πŸ’€) - A TensorFlow recommendation algorithm and framework in.. Apache-2 - fastFM (πŸ₯‰21 Β· ⭐ 1.1K Β· πŸ’€) - fastFM: A Library for Factorization Machines. BSD-3 - Spotlight (πŸ₯‰18 Β· ⭐ 2.9K Β· πŸ’€) - Deep recommender models using PyTorch. MIT -- Case Recommender (πŸ₯‰18 Β· ⭐ 450 Β· πŸ’€) - Case Recommender: A Flexible and Extensible Python.. MIT +- Case Recommender (πŸ₯‰17 Β· ⭐ 450 Β· πŸ’€) - Case Recommender: A Flexible and Extensible Python.. MIT - OpenRec (πŸ₯‰16 Β· ⭐ 400 Β· πŸ’€) - OpenRec is an open-source and modular library for neural network-.. Apache-2 - Collie (πŸ₯‰16 Β· ⭐ 100 Β· πŸ’€) - A library for preparing, training, and evaluating scalable deep.. BSD-3
@@ -5784,49 +5788,49 @@ _Libraries for building and evaluating recommendation systems._ _Libraries for encrypted and privacy-preserving machine learning using methods like federated learning & differential privacy._ -
PySyft (πŸ₯‡35 Β· ⭐ 9K) - Perform data science on data that remains in someone elses server. Apache-2 +
PySyft (πŸ₯‡36 Β· ⭐ 9K) - Perform data science on data that remains in someone elses server. Apache-2 -- [GitHub](https://github.com/OpenMined/PySyft) (πŸ‘¨β€πŸ’» 500 Β· πŸ”€ 1.9K Β· πŸ“₯ 470 Β· πŸ“‹ 3.5K - 4% open Β· ⏱️ 09.11.2023): +- [GitHub](https://github.com/OpenMined/PySyft) (πŸ‘¨β€πŸ’» 500 Β· πŸ”€ 1.9K Β· πŸ“₯ 680 Β· πŸ“‹ 3.5K - 4% open Β· ⏱️ 16.11.2023): ``` git clone https://github.com/OpenMined/PySyft ``` -- [PyPi](https://pypi.org/project/syft) (πŸ“₯ 6.7K / month Β· πŸ“¦ 5 Β· ⏱️ 09.11.2023): +- [PyPi](https://pypi.org/project/syft) (πŸ“₯ 7K / month Β· πŸ“¦ 5 Β· ⏱️ 15.11.2023): ``` pip install syft ```
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TensorFlow Privacy (πŸ₯ˆ27 Β· ⭐ 1.8K) - Library for training machine learning models with.. Apache-2 +
Opacus (πŸ₯ˆ28 Β· ⭐ 1.5K) - Training PyTorch models with differential privacy. Apache-2 -- [GitHub](https://github.com/tensorflow/privacy) (πŸ‘¨β€πŸ’» 56 Β· πŸ”€ 430 Β· πŸ“₯ 120 Β· πŸ“‹ 200 - 55% open Β· ⏱️ 24.10.2023): +- [GitHub](https://github.com/pytorch/opacus) (πŸ‘¨β€πŸ’» 74 Β· πŸ”€ 300 Β· πŸ“₯ 100 Β· πŸ“¦ 680 Β· πŸ“‹ 260 - 25% open Β· ⏱️ 09.11.2023): ``` - git clone https://github.com/tensorflow/privacy + git clone https://github.com/pytorch/opacus ``` -- [PyPi](https://pypi.org/project/tensorflow-privacy) (πŸ“₯ 18K / month Β· πŸ“¦ 14 Β· ⏱️ 11.10.2023): +- [PyPi](https://pypi.org/project/opacus) (πŸ“₯ 39K / month Β· πŸ“¦ 17 Β· ⏱️ 06.05.2022): ``` - pip install tensorflow-privacy + pip install opacus + ``` +- [Conda](https://anaconda.org/conda-forge/opacus) (πŸ“₯ 12K Β· ⏱️ 18.06.2023): + ``` + conda install -c conda-forge opacus ```
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Opacus (πŸ₯ˆ27 Β· ⭐ 1.5K) - Training PyTorch models with differential privacy. Apache-2 +
TensorFlow Privacy (πŸ₯ˆ27 Β· ⭐ 1.8K) - Library for training machine learning models with.. Apache-2 -- [GitHub](https://github.com/pytorch/opacus) (πŸ‘¨β€πŸ’» 73 Β· πŸ”€ 300 Β· πŸ“₯ 100 Β· πŸ“¦ 680 Β· πŸ“‹ 260 - 25% open Β· ⏱️ 06.09.2023): +- [GitHub](https://github.com/tensorflow/privacy) (πŸ‘¨β€πŸ’» 56 Β· πŸ”€ 430 Β· πŸ“₯ 120 Β· πŸ“‹ 200 - 55% open Β· ⏱️ 24.10.2023): ``` - git clone https://github.com/pytorch/opacus - ``` -- [PyPi](https://pypi.org/project/opacus) (πŸ“₯ 37K / month Β· πŸ“¦ 17 Β· ⏱️ 06.05.2022): - ``` - pip install opacus + git clone https://github.com/tensorflow/privacy ``` -- [Conda](https://anaconda.org/conda-forge/opacus) (πŸ“₯ 12K Β· ⏱️ 18.06.2023): +- [PyPi](https://pypi.org/project/tensorflow-privacy) (πŸ“₯ 17K / month Β· πŸ“¦ 14 Β· ⏱️ 11.10.2023): ``` - conda install -c conda-forge opacus + pip install tensorflow-privacy ```
FATE (πŸ₯‰26 Β· ⭐ 5.3K) - An Industrial Grade Federated Learning Framework. Apache-2 -- [GitHub](https://github.com/FederatedAI/FATE) (πŸ‘¨β€πŸ’» 94 Β· πŸ”€ 1.5K Β· πŸ“‹ 1.8K - 43% open Β· ⏱️ 09.11.2023): +- [GitHub](https://github.com/FederatedAI/FATE) (πŸ‘¨β€πŸ’» 94 Β· πŸ”€ 1.5K Β· πŸ“‹ 1.8K - 43% open Β· ⏱️ 10.11.2023): ``` git clone https://github.com/FederatedAI/FATE @@ -5843,7 +5847,7 @@ _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) (πŸ“₯ 470 / month Β· πŸ“¦ 9 Β· ⏱️ 16.11.2022): +- [PyPi](https://pypi.org/project/tf-encrypted) (πŸ“₯ 590 / month Β· πŸ“¦ 9 Β· ⏱️ 16.11.2022): ``` pip install tf-encrypted ``` @@ -5874,28 +5878,28 @@ _Libraries to organize, track, and visualize machine learning experiments._
mlflow (πŸ₯‡44 Β· ⭐ 16K) - Open source platform for the machine learning lifecycle. Apache-2 -- [GitHub](https://github.com/mlflow/mlflow) (πŸ‘¨β€πŸ’» 670 Β· πŸ”€ 3.6K Β· πŸ“¦ 26K Β· πŸ“‹ 3.5K - 35% open Β· ⏱️ 08.11.2023): +- [GitHub](https://github.com/mlflow/mlflow) (πŸ‘¨β€πŸ’» 670 Β· πŸ”€ 3.7K Β· πŸ“¦ 26K Β· πŸ“‹ 3.5K - 36% open Β· ⏱️ 16.11.2023): ``` git clone https://github.com/mlflow/mlflow ``` -- [PyPi](https://pypi.org/project/mlflow) (πŸ“₯ 14M / month Β· πŸ“¦ 500 Β· ⏱️ 29.10.2023): +- [PyPi](https://pypi.org/project/mlflow) (πŸ“₯ 14M / month Β· πŸ“¦ 510 Β· ⏱️ 16.11.2023): ``` pip install mlflow ``` -- [Conda](https://anaconda.org/conda-forge/mlflow) (πŸ“₯ 1.6M Β· ⏱️ 29.10.2023): +- [Conda](https://anaconda.org/conda-forge/mlflow) (πŸ“₯ 1.7M Β· ⏱️ 29.10.2023): ``` conda install -c conda-forge mlflow ```
Tensorboard (πŸ₯‡43 Β· ⭐ 6.4K) - TensorFlows Visualization Toolkit. Apache-2 -- [GitHub](https://github.com/tensorflow/tensorboard) (πŸ‘¨β€πŸ’» 310 Β· πŸ”€ 1.6K Β· πŸ“¦ 200K Β· πŸ“‹ 1.9K - 34% open Β· ⏱️ 08.11.2023): +- [GitHub](https://github.com/tensorflow/tensorboard) (πŸ‘¨β€πŸ’» 310 Β· πŸ”€ 1.6K Β· πŸ“¦ 200K Β· πŸ“‹ 1.9K - 34% open Β· ⏱️ 15.11.2023): ``` git clone https://github.com/tensorflow/tensorboard ``` -- [PyPi](https://pypi.org/project/tensorboard) (πŸ“₯ 22M / month Β· πŸ“¦ 2.8K Β· ⏱️ 02.11.2023): +- [PyPi](https://pypi.org/project/tensorboard) (πŸ“₯ 22M / month Β· πŸ“¦ 2.9K Β· ⏱️ 02.11.2023): ``` pip install tensorboard ``` @@ -5904,36 +5908,36 @@ _Libraries to organize, track, and visualize machine learning experiments._ conda install -c conda-forge tensorboard ```
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wandb client (πŸ₯‡41 Β· ⭐ 7.4K) - A tool for visualizing and tracking your machine learning.. MIT +
DVC (πŸ₯‡41 Β· ⭐ 12K) - ML Experiments Management with Git. Apache-2 -- [GitHub](https://github.com/wandb/wandb) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 550 Β· πŸ“¦ 32K Β· πŸ“‹ 2.8K - 27% open Β· ⏱️ 09.11.2023): +- [GitHub](https://github.com/iterative/dvc) (πŸ‘¨β€πŸ’» 290 Β· πŸ”€ 1.1K Β· πŸ“₯ 43K Β· πŸ“¦ 11K Β· πŸ“‹ 4.5K - 12% open Β· ⏱️ 15.11.2023): ``` - git clone https://github.com/wandb/client + git clone https://github.com/iterative/dvc ``` -- [PyPi](https://pypi.org/project/wandb) (πŸ“₯ 7.8M / month Β· πŸ“¦ 630 Β· ⏱️ 07.11.2023): +- [PyPi](https://pypi.org/project/dvc) (πŸ“₯ 870K / month Β· πŸ“¦ 85 Β· ⏱️ 15.11.2023): ``` - pip install wandb + pip install dvc ``` -- [Conda](https://anaconda.org/conda-forge/wandb) (πŸ“₯ 420K Β· ⏱️ 04.10.2023): +- [Conda](https://anaconda.org/conda-forge/dvc) (πŸ“₯ 1.7M Β· ⏱️ 14.11.2023): ``` - conda install -c conda-forge wandb + conda install -c conda-forge dvc ```
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DVC (πŸ₯‡40 Β· ⭐ 12K) - ML Experiments Management with Git. Apache-2 +
wandb client (πŸ₯‡41 Β· ⭐ 7.5K) - A tool for visualizing and tracking your machine learning.. MIT -- [GitHub](https://github.com/iterative/dvc) (πŸ‘¨β€πŸ’» 290 Β· πŸ”€ 1.1K Β· πŸ“₯ 41K Β· πŸ“¦ 10K Β· πŸ“‹ 4.5K - 12% open Β· ⏱️ 09.11.2023): +- [GitHub](https://github.com/wandb/wandb) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 550 Β· πŸ“¦ 33K Β· πŸ“‹ 2.8K - 27% open Β· ⏱️ 16.11.2023): ``` - git clone https://github.com/iterative/dvc + git clone https://github.com/wandb/client ``` -- [PyPi](https://pypi.org/project/dvc) (πŸ“₯ 860K / month Β· πŸ“¦ 83 Β· ⏱️ 31.10.2023): +- [PyPi](https://pypi.org/project/wandb) (πŸ“₯ 8.1M / month Β· πŸ“¦ 630 Β· ⏱️ 07.11.2023): ``` - pip install dvc + pip install wandb ``` -- [Conda](https://anaconda.org/conda-forge/dvc) (πŸ“₯ 1.7M Β· ⏱️ 31.10.2023): +- [Conda](https://anaconda.org/conda-forge/wandb) (πŸ“₯ 420K Β· ⏱️ 04.10.2023): ``` - conda install -c conda-forge dvc + conda install -c conda-forge wandb ```
SageMaker SDK (πŸ₯ˆ38 Β· ⭐ 2K) - A library for training and deploying machine learning.. Apache-2 @@ -5943,7 +5947,7 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` git clone https://github.com/aws/sagemaker-python-sdk ``` -- [PyPi](https://pypi.org/project/sagemaker) (πŸ“₯ 35M / month Β· πŸ“¦ 87 Β· ⏱️ 07.11.2023): +- [PyPi](https://pypi.org/project/sagemaker) (πŸ“₯ 36M / month Β· πŸ“¦ 87 Β· ⏱️ 07.11.2023): ``` pip install sagemaker ``` @@ -5954,16 +5958,16 @@ _Libraries to organize, track, and visualize machine learning experiments._
PyCaret (πŸ₯ˆ37 Β· ⭐ 7.9K) - An open-source, low-code machine learning library in Python. MIT -- [GitHub](https://github.com/pycaret/pycaret) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 1.7K Β· πŸ“₯ 670 Β· πŸ“¦ 4.6K Β· πŸ“‹ 2.2K - 14% open Β· ⏱️ 08.11.2023): +- [GitHub](https://github.com/pycaret/pycaret) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 1.7K Β· πŸ“₯ 670 Β· πŸ“¦ 4.7K Β· πŸ“‹ 2.2K - 14% open Β· ⏱️ 12.11.2023): ``` git clone https://github.com/pycaret/pycaret ``` -- [PyPi](https://pypi.org/project/pycaret) (πŸ“₯ 310K / month Β· πŸ“¦ 14 Β· ⏱️ 11.09.2023): +- [PyPi](https://pypi.org/project/pycaret) (πŸ“₯ 310K / month Β· πŸ“¦ 15 Β· ⏱️ 12.11.2023): ``` pip install pycaret ``` -- [Conda](https://anaconda.org/conda-forge/pycaret) (πŸ“₯ 40K Β· ⏱️ 16.10.2023): +- [Conda](https://anaconda.org/conda-forge/pycaret) (πŸ“₯ 41K Β· ⏱️ 16.11.2023): ``` conda install -c conda-forge pycaret ``` @@ -5975,14 +5979,14 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` git clone https://github.com/Azure/MachineLearningNotebooks ``` -- [PyPi](https://pypi.org/project/azureml-sdk) (πŸ“₯ 1.5M / month Β· πŸ“¦ 48 Β· ⏱️ 23.08.2023): +- [PyPi](https://pypi.org/project/azureml-sdk) (πŸ“₯ 1.3M / month Β· πŸ“¦ 48 Β· ⏱️ 09.11.2023): ``` pip install azureml-sdk ```
snakemake (πŸ₯ˆ35 Β· ⭐ 2K) - This is the development home of the workflow management system.. MIT -- [GitHub](https://github.com/snakemake/snakemake) (πŸ‘¨β€πŸ’» 310 Β· πŸ”€ 460 Β· πŸ“¦ 1.7K Β· πŸ“‹ 1.4K - 60% open Β· ⏱️ 08.11.2023): +- [GitHub](https://github.com/snakemake/snakemake) (πŸ‘¨β€πŸ’» 310 Β· πŸ”€ 460 Β· πŸ“¦ 1.7K Β· πŸ“‹ 1.4K - 60% open Β· ⏱️ 15.11.2023): ``` git clone https://github.com/snakemake/snakemake @@ -5996,9 +6000,9 @@ _Libraries to organize, track, and visualize machine learning experiments._ conda install -c bioconda snakemake ```
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tensorboardX (πŸ₯ˆ33 Β· ⭐ 7.7K) - tensorboard for pytorch (and chainer, mxnet, numpy, ...). MIT +
tensorboardX (πŸ₯ˆ34 Β· ⭐ 7.7K) - tensorboard for pytorch (and chainer, mxnet, numpy, ...). MIT -- [GitHub](https://github.com/lanpa/tensorboardX) (πŸ‘¨β€πŸ’» 81 Β· πŸ”€ 870 Β· πŸ“₯ 400 Β· πŸ“¦ 36K Β· πŸ“‹ 450 - 17% open Β· ⏱️ 03.09.2023): +- [GitHub](https://github.com/lanpa/tensorboardX) (πŸ‘¨β€πŸ’» 82 Β· πŸ”€ 870 Β· πŸ“₯ 400 Β· πŸ“¦ 36K Β· πŸ“‹ 450 - 17% open Β· ⏱️ 12.11.2023): ``` git clone https://github.com/lanpa/tensorboardX @@ -6012,14 +6016,14 @@ _Libraries to organize, track, and visualize machine learning experiments._ conda install -c conda-forge tensorboardx ```
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Metaflow (πŸ₯ˆ33 Β· ⭐ 7.1K) - Build and manage real-life data science projects with ease!. Apache-2 +
Metaflow (πŸ₯ˆ33 Β· ⭐ 7.2K) - Build and manage real-life data science projects with ease!. Apache-2 - [GitHub](https://github.com/Netflix/metaflow) (πŸ‘¨β€πŸ’» 75 Β· πŸ”€ 680 Β· πŸ“¦ 550 Β· πŸ“‹ 620 - 46% open Β· ⏱️ 03.11.2023): ``` git clone https://github.com/Netflix/metaflow ``` -- [PyPi](https://pypi.org/project/metaflow) (πŸ“₯ 170K / month Β· πŸ“¦ 26 Β· ⏱️ 03.11.2023): +- [PyPi](https://pypi.org/project/metaflow) (πŸ“₯ 200K / month Β· πŸ“¦ 26 Β· ⏱️ 03.11.2023): ``` pip install metaflow ``` @@ -6030,7 +6034,7 @@ _Libraries to organize, track, and visualize machine learning experiments._
ClearML (πŸ₯ˆ33 Β· ⭐ 4.8K) - ClearML - Auto-Magical CI/CD to streamline your ML workflow... Apache-2 -- [GitHub](https://github.com/allegroai/clearml) (πŸ‘¨β€πŸ’» 88 Β· πŸ”€ 600 Β· πŸ“₯ 1.7K Β· πŸ“¦ 780 Β· πŸ“‹ 900 - 43% open Β· ⏱️ 08.11.2023): +- [GitHub](https://github.com/allegroai/clearml) (πŸ‘¨β€πŸ’» 88 Β· πŸ”€ 600 Β· πŸ“₯ 1.8K Β· πŸ“¦ 790 Β· πŸ“‹ 900 - 43% open Β· ⏱️ 14.11.2023): ``` git clone https://github.com/allegroai/clearml @@ -6062,23 +6066,23 @@ _Libraries to organize, track, and visualize machine learning experiments._
Neptune.ai (πŸ₯ˆ31 Β· ⭐ 420) - The MLOps stack component for experiment tracking. Apache-2 -- [GitHub](https://github.com/neptune-ai/neptune-client) (πŸ‘¨β€πŸ’» 52 Β· πŸ”€ 49 Β· πŸ“‹ 230 - 15% open Β· ⏱️ 09.11.2023): +- [GitHub](https://github.com/neptune-ai/neptune-client) (πŸ‘¨β€πŸ’» 52 Β· πŸ”€ 49 Β· πŸ“‹ 230 - 15% open Β· ⏱️ 13.11.2023): ``` git clone https://github.com/neptune-ai/neptune-client ``` -- [PyPi](https://pypi.org/project/neptune-client) (πŸ“₯ 540K / month Β· πŸ“¦ 44 Β· ⏱️ 20.10.2023): +- [PyPi](https://pypi.org/project/neptune-client) (πŸ“₯ 540K / month Β· πŸ“¦ 49 Β· ⏱️ 13.11.2023): ``` pip install neptune-client ``` -- [Conda](https://anaconda.org/conda-forge/neptune-client) (πŸ“₯ 220K Β· ⏱️ 10.10.2023): +- [Conda](https://anaconda.org/conda-forge/neptune-client) (πŸ“₯ 220K Β· ⏱️ 13.11.2023): ``` conda install -c conda-forge neptune-client ```
VisualDL (πŸ₯ˆ30 Β· ⭐ 4.7K) - Deep Learning Visualization Toolkit. Apache-2 -- [GitHub](https://github.com/PaddlePaddle/VisualDL) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 630 Β· πŸ“₯ 330 Β· πŸ“¦ 2.4K Β· πŸ“‹ 500 - 28% open Β· ⏱️ 20.09.2023): +- [GitHub](https://github.com/PaddlePaddle/VisualDL) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 630 Β· πŸ“₯ 340 Β· πŸ“¦ 2.4K Β· πŸ“‹ 500 - 28% open Β· ⏱️ 20.09.2023): ``` git clone https://github.com/PaddlePaddle/VisualDL @@ -6090,12 +6094,12 @@ _Libraries to organize, track, and visualize machine learning experiments._
aim (πŸ₯ˆ30 Β· ⭐ 4.3K) - Aim An easy-to-use & supercharged open-source experiment tracker. Apache-2 -- [GitHub](https://github.com/aimhubio/aim) (πŸ‘¨β€πŸ’» 58 Β· πŸ”€ 250 Β· πŸ“¦ 350 Β· πŸ“‹ 940 - 32% open Β· ⏱️ 18.10.2023): +- [GitHub](https://github.com/aimhubio/aim) (πŸ‘¨β€πŸ’» 58 Β· πŸ”€ 250 Β· πŸ“¦ 360 Β· πŸ“‹ 950 - 32% open Β· ⏱️ 18.10.2023): ``` git clone https://github.com/aimhubio/aim ``` -- [PyPi](https://pypi.org/project/aim) (πŸ“₯ 110K / month Β· πŸ“¦ 15 Β· ⏱️ 08.11.2023): +- [PyPi](https://pypi.org/project/aim) (πŸ“₯ 100K / month Β· πŸ“¦ 15 Β· ⏱️ 15.11.2023): ``` pip install aim ``` @@ -6104,18 +6108,18 @@ _Libraries to organize, track, and visualize machine learning experiments._ conda install -c conda-forge aim ```
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sacred (πŸ₯ˆ29 Β· ⭐ 4.1K) - Sacred is a tool to help you configure, organize, log and reproduce.. MIT +
sacred (πŸ₯ˆ30 Β· ⭐ 4.1K) - Sacred is a tool to help you configure, organize, log and reproduce.. MIT -- [GitHub](https://github.com/IDSIA/sacred) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 380 Β· πŸ“¦ 2.7K Β· πŸ“‹ 560 - 17% open Β· ⏱️ 07.11.2023): +- [GitHub](https://github.com/IDSIA/sacred) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 380 Β· πŸ“¦ 2.7K Β· πŸ“‹ 560 - 17% open Β· ⏱️ 13.11.2023): ``` git clone https://github.com/IDSIA/sacred ``` -- [PyPi](https://pypi.org/project/sacred) (πŸ“₯ 22K / month Β· πŸ“¦ 110 Β· ⏱️ 25.01.2023): +- [PyPi](https://pypi.org/project/sacred) (πŸ“₯ 22K / month Β· πŸ“¦ 110 Β· ⏱️ 13.11.2023): ``` pip install sacred ``` -- [Conda](https://anaconda.org/conda-forge/sacred) (πŸ“₯ 4.2K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/sacred) (πŸ“₯ 4.3K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge sacred ``` @@ -6127,14 +6131,14 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` git clone https://github.com/MrPowers/quinn ``` -- [PyPi](https://pypi.org/project/quinn) (πŸ“₯ 860K / month Β· πŸ“¦ 6 Β· ⏱️ 17.02.2023): +- [PyPi](https://pypi.org/project/quinn) (πŸ“₯ 870K / month Β· πŸ“¦ 6 Β· ⏱️ 17.02.2023): ``` pip install quinn ```
Labml (πŸ₯‰27 Β· ⭐ 1.7K) - Monitor deep learning model training and hardware usage from your mobile.. MIT -- [GitHub](https://github.com/labmlai/labml) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 110 Β· πŸ“¦ 110 Β· πŸ“‹ 38 - 47% open Β· ⏱️ 08.11.2023): +- [GitHub](https://github.com/labmlai/labml) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 110 Β· πŸ“¦ 110 Β· πŸ“‹ 38 - 47% open Β· ⏱️ 16.11.2023): ``` git clone https://github.com/labmlai/labml @@ -6146,31 +6150,31 @@ _Libraries to organize, track, and visualize machine learning experiments._
ml-metadata (πŸ₯‰27 Β· ⭐ 570) - For recording and retrieving metadata associated with ML.. Apache-2 -- [GitHub](https://github.com/google/ml-metadata) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 120 Β· πŸ“₯ 2.1K Β· πŸ“¦ 360 Β· πŸ“‹ 100 - 26% open Β· ⏱️ 24.10.2023): +- [GitHub](https://github.com/google/ml-metadata) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 120 Β· πŸ“₯ 2.1K Β· πŸ“¦ 360 Β· πŸ“‹ 100 - 26% open Β· ⏱️ 15.11.2023): ``` git clone https://github.com/google/ml-metadata ``` -- [PyPi](https://pypi.org/project/ml-metadata) (πŸ“₯ 74K / month Β· πŸ“¦ 22 Β· ⏱️ 10.08.2023): +- [PyPi](https://pypi.org/project/ml-metadata) (πŸ“₯ 66K / month Β· πŸ“¦ 22 Β· ⏱️ 10.08.2023): ``` pip install ml-metadata ```
TNT (πŸ₯‰26 Β· ⭐ 1.6K) - A lightweight library for PyTorch training tools and utilities. BSD-3 -- [GitHub](https://github.com/pytorch/tnt) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 240 Β· πŸ“‹ 82 - 25% open Β· ⏱️ 07.11.2023): +- [GitHub](https://github.com/pytorch/tnt) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 250 Β· πŸ“‹ 89 - 31% open Β· ⏱️ 15.11.2023): ``` git clone https://github.com/pytorch/tnt ``` -- [PyPi](https://pypi.org/project/torchnet) (πŸ“₯ 6.6K / month Β· πŸ“¦ 38 Β· ⏱️ 29.07.2018): +- [PyPi](https://pypi.org/project/torchnet) (πŸ“₯ 6.9K / month Β· πŸ“¦ 38 Β· ⏱️ 29.07.2018): ``` pip install torchnet ```
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Guild AI (πŸ₯‰22 Β· ⭐ 830 Β· πŸ“‰) - Experiment tracking, ML developer tools. Apache-2 +
Guild AI (πŸ₯‰23 Β· ⭐ 830) - Experiment tracking, ML developer tools. Apache-2 -- [GitHub](https://github.com/guildai/guildai) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 81 Β· πŸ“₯ 14 Β· πŸ“¦ 84 Β· πŸ“‹ 440 - 50% open Β· ⏱️ 12.08.2023): +- [GitHub](https://github.com/guildai/guildai) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 81 Β· πŸ“₯ 14 Β· πŸ“¦ 85 Β· πŸ“‹ 440 - 50% open Β· ⏱️ 12.08.2023): ``` git clone https://github.com/guildai/guildai @@ -6180,28 +6184,28 @@ _Libraries to organize, track, and visualize machine learning experiments._ pip install guildai ```
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TensorWatch (πŸ₯‰20 Β· ⭐ 3.3K) - Debugging, monitoring and visualization for Python Machine Learning.. MIT +
Studio.ml (πŸ₯‰21 Β· ⭐ 380) - Studio: Simplify and expedite model building process. Apache-2 -- [GitHub](https://github.com/microsoft/tensorwatch) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 360 Β· πŸ“¦ 130 Β· πŸ“‹ 70 - 75% open Β· ⏱️ 30.08.2023): +- [GitHub](https://github.com/studioml/studio) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 52 Β· πŸ“¦ 5 Β· πŸ“‹ 250 - 22% open Β· ⏱️ 06.09.2023): ``` - git clone https://github.com/microsoft/tensorwatch + git clone https://github.com/studioml/studio ``` -- [PyPi](https://pypi.org/project/tensorwatch) (πŸ“₯ 600 / month Β· πŸ“¦ 7 Β· ⏱️ 04.03.2020): +- [PyPi](https://pypi.org/project/studioml) (πŸ“₯ 400 / month Β· ⏱️ 14.09.2021): ``` - pip install tensorwatch + pip install studioml ```
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Studio.ml (πŸ₯‰20 Β· ⭐ 380) - Studio: Simplify and expedite model building process. Apache-2 +
TensorWatch (πŸ₯‰20 Β· ⭐ 3.3K) - Debugging, monitoring and visualization for Python Machine Learning.. MIT -- [GitHub](https://github.com/studioml/studio) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 52 Β· πŸ“¦ 5 Β· πŸ“‹ 250 - 22% open Β· ⏱️ 06.09.2023): +- [GitHub](https://github.com/microsoft/tensorwatch) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 360 Β· πŸ“¦ 130 Β· πŸ“‹ 70 - 75% open Β· ⏱️ 30.08.2023): ``` - git clone https://github.com/studioml/studio + git clone https://github.com/microsoft/tensorwatch ``` -- [PyPi](https://pypi.org/project/studioml) (πŸ“₯ 79 / month Β· ⏱️ 14.09.2021): +- [PyPi](https://pypi.org/project/tensorwatch) (πŸ“₯ 620 / month Β· πŸ“¦ 7 Β· ⏱️ 04.03.2020): ``` - pip install studioml + pip install tensorwatch ```
caliban (πŸ₯‰16 Β· ⭐ 490) - Research workflows made easy, locally and in the Cloud. Apache-2 @@ -6211,18 +6215,18 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` git clone https://github.com/google/caliban ``` -- [PyPi](https://pypi.org/project/caliban) (πŸ“₯ 32 / month Β· ⏱️ 12.09.2020): +- [PyPi](https://pypi.org/project/caliban) (πŸ“₯ 66 / month Β· ⏱️ 12.09.2020): ``` pip install caliban ```
Show 16 hidden projects... -- Catalyst (πŸ₯ˆ29 Β· ⭐ 3.2K Β· πŸ’€) - Accelerated deep learning R&D. Apache-2 +- Catalyst (πŸ₯‰29 Β· ⭐ 3.2K Β· πŸ’€) - Accelerated deep learning R&D. Apache-2 +- SKLL (πŸ₯‰26 Β· ⭐ 540 Β· πŸ“ˆ) - SciKit-Learn Laboratory (SKLL) makes it easy to run.. ❗️BSD-1-Clause - knockknock (πŸ₯‰25 Β· ⭐ 2.7K Β· πŸ’€) - Knock Knock: Get notified when your training ends with only two.. MIT - livelossplot (πŸ₯‰25 Β· ⭐ 1.3K Β· πŸ’€) - Live training loss plot in Jupyter Notebook for Keras,.. MIT -- SKLL (πŸ₯‰24 Β· ⭐ 540) - SciKit-Learn Laboratory (SKLL) makes it easy to run machine.. ❗️BSD-1-Clause -- gokart (πŸ₯‰24 Β· ⭐ 290) - Gokart solves reproducibility, task dependencies, constraints of good code,.. MIT +- gokart (πŸ₯‰25 Β· ⭐ 290) - Gokart solves reproducibility, task dependencies, constraints of good code,.. MIT - hiddenlayer (πŸ₯‰22 Β· ⭐ 1.7K Β· πŸ’€) - Neural network graphs and training metrics for.. MIT - lore (πŸ₯‰20 Β· ⭐ 1.5K Β· πŸ’€) - Lore makes machine learning approachable for Software Engineers and.. MIT - TensorBoard Logger (πŸ₯‰20 Β· ⭐ 620 Β· πŸ’€) - Log TensorBoard events without touching TensorFlow. MIT @@ -6233,7 +6237,7 @@ _Libraries to organize, track, and visualize machine learning experiments._ - steppy (πŸ₯‰16 Β· ⭐ 140 Β· πŸ’€) - Lightweight, Python library for fast and reproducible experimentation. MIT - ModelChimp (πŸ₯‰13 Β· ⭐ 130 Β· πŸ’€) - Experiment tracking for machine and deep learning projects. BSD-2 - CometML (πŸ₯‰13) - Supercharging Machine Learning. ❗Unlicensed -- traintool (πŸ₯‰8 Β· ⭐ 12 Β· πŸ’€) - Train off-the-shelf machine learning models in one.. Apache-2 +- traintool (πŸ₯‰9 Β· ⭐ 12 Β· πŸ’€) - Train off-the-shelf machine learning models in one.. Apache-2

@@ -6245,12 +6249,12 @@ _Libraries to serialize models to files, convert between a variety of model form
onnx (πŸ₯‡43 Β· ⭐ 16K) - Open standard for machine learning interoperability. Apache-2 -- [GitHub](https://github.com/onnx/onnx) (πŸ‘¨β€πŸ’» 300 Β· πŸ”€ 3.6K Β· πŸ“₯ 19K Β· πŸ“¦ 20K Β· πŸ“‹ 2.6K - 11% open Β· ⏱️ 09.11.2023): +- [GitHub](https://github.com/onnx/onnx) (πŸ‘¨β€πŸ’» 300 Β· πŸ”€ 3.6K Β· πŸ“₯ 19K Β· πŸ“¦ 21K Β· πŸ“‹ 2.6K - 11% open Β· ⏱️ 16.11.2023): ``` git clone https://github.com/onnx/onnx ``` -- [PyPi](https://pypi.org/project/onnx) (πŸ“₯ 4.3M / month Β· πŸ“¦ 620 Β· ⏱️ 26.10.2023): +- [PyPi](https://pypi.org/project/onnx) (πŸ“₯ 4.3M / month Β· πŸ“¦ 630 Β· ⏱️ 26.10.2023): ``` pip install onnx ``` @@ -6259,9 +6263,9 @@ _Libraries to serialize models to files, convert between a variety of model form conda install -c conda-forge onnx ```
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triton (πŸ₯‡41 Β· ⭐ 8.7K) - Development repository for the Triton language and compiler. MIT +
triton (πŸ₯‡38 Β· ⭐ 8.8K Β· πŸ“‰) - Development repository for the Triton language and compiler. MIT -- [GitHub](https://github.com/openai/triton) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 910 Β· πŸ“¦ 10K Β· πŸ“‹ 880 - 39% open Β· ⏱️ 08.11.2023): +- [GitHub](https://github.com/openai/triton) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 910 Β· πŸ“¦ 21 Β· πŸ“‹ 890 - 40% open Β· ⏱️ 16.11.2023): ``` git clone https://github.com/openai/triton @@ -6273,24 +6277,24 @@ _Libraries to serialize models to files, convert between a variety of model form
BentoML (πŸ₯ˆ35 Β· ⭐ 5.9K) - Build Production-Grade AI Applications. Apache-2 -- [GitHub](https://github.com/bentoml/BentoML) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 660 Β· πŸ“₯ 2.1K Β· πŸ“¦ 1.4K Β· πŸ“‹ 960 - 18% open Β· ⏱️ 07.11.2023): +- [GitHub](https://github.com/bentoml/BentoML) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 660 Β· πŸ“₯ 2.1K Β· πŸ“¦ 1.4K Β· πŸ“‹ 960 - 18% open Β· ⏱️ 15.11.2023): ``` git clone https://github.com/bentoml/BentoML ``` -- [PyPi](https://pypi.org/project/bentoml) (πŸ“₯ 66K / month Β· πŸ“¦ 11 Β· ⏱️ 07.11.2023): +- [PyPi](https://pypi.org/project/bentoml) (πŸ“₯ 64K / month Β· πŸ“¦ 11 Β· ⏱️ 07.11.2023): ``` pip install bentoml ```
TorchServe (πŸ₯ˆ35 Β· ⭐ 3.8K) - Serve, optimize and scale PyTorch models in production. Apache-2 -- [GitHub](https://github.com/pytorch/serve) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 760 Β· πŸ“₯ 5.3K Β· πŸ“¦ 540 Β· πŸ“‹ 1.4K - 20% open Β· ⏱️ 09.11.2023): +- [GitHub](https://github.com/pytorch/serve) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 780 Β· πŸ“₯ 5.4K Β· πŸ“¦ 540 Β· πŸ“‹ 1.5K - 22% open Β· ⏱️ 16.11.2023): ``` git clone https://github.com/pytorch/serve ``` -- [PyPi](https://pypi.org/project/torchserve) (πŸ“₯ 40K / month Β· πŸ“¦ 13 Β· ⏱️ 12.10.2023): +- [PyPi](https://pypi.org/project/torchserve) (πŸ“₯ 41K / month Β· πŸ“¦ 15 Β· ⏱️ 12.10.2023): ``` pip install torchserve ``` @@ -6305,23 +6309,23 @@ _Libraries to serialize models to files, convert between a variety of model form
huggingface_hub (πŸ₯ˆ35 Β· ⭐ 1.3K) - All the open source things related to the Hugging Face Hub. Apache-2 -- [GitHub](https://github.com/huggingface/huggingface_hub) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 310 Β· πŸ“‹ 620 - 16% open Β· ⏱️ 08.11.2023): +- [GitHub](https://github.com/huggingface/huggingface_hub) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 320 Β· πŸ“‹ 630 - 16% open Β· ⏱️ 15.11.2023): ``` git clone https://github.com/huggingface/huggingface_hub ``` -- [PyPi](https://pypi.org/project/huggingface_hub) (πŸ“₯ 23M / month Β· πŸ“¦ 510 Β· ⏱️ 08.11.2023): +- [PyPi](https://pypi.org/project/huggingface_hub) (πŸ“₯ 24M / month Β· πŸ“¦ 530 Β· ⏱️ 15.11.2023): ``` pip install huggingface_hub ``` -- [Conda](https://anaconda.org/conda-forge/huggingface_hub) (πŸ“₯ 1.5M Β· ⏱️ 08.11.2023): +- [Conda](https://anaconda.org/conda-forge/huggingface_hub) (πŸ“₯ 1.5M Β· ⏱️ 15.11.2023): ``` conda install -c conda-forge huggingface_hub ```
Core ML Tools (πŸ₯ˆ33 Β· ⭐ 3.7K) - Core ML tools contain supporting tools for Core ML model.. BSD-3 -- [GitHub](https://github.com/apple/coremltools) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 560 Β· πŸ“₯ 8.9K Β· πŸ“¦ 3.4K Β· πŸ“‹ 1.3K - 21% open Β· ⏱️ 07.11.2023): +- [GitHub](https://github.com/apple/coremltools) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 560 Β· πŸ“₯ 8.9K Β· πŸ“¦ 3.4K Β· πŸ“‹ 1.3K - 21% open Β· ⏱️ 14.11.2023): ``` git clone https://github.com/apple/coremltools @@ -6337,12 +6341,12 @@ _Libraries to serialize models to files, convert between a variety of model form
Hummingbird (πŸ₯ˆ26 Β· ⭐ 3.2K) - Hummingbird compiles trained ML models into tensor computation for.. MIT -- [GitHub](https://github.com/microsoft/hummingbird) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 260 Β· πŸ“₯ 350 Β· πŸ“‹ 300 - 18% open Β· ⏱️ 13.10.2023): +- [GitHub](https://github.com/microsoft/hummingbird) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 270 Β· πŸ“₯ 360 Β· πŸ“‹ 300 - 18% open Β· ⏱️ 13.10.2023): ``` git clone https://github.com/microsoft/hummingbird ``` -- [PyPi](https://pypi.org/project/hummingbird-ml) (πŸ“₯ 10K / month Β· πŸ“¦ 3 Β· ⏱️ 10.06.2020): +- [PyPi](https://pypi.org/project/hummingbird-ml) (πŸ“₯ 9.3K / month Β· πŸ“¦ 3 Β· ⏱️ 10.06.2020): ``` pip install hummingbird-ml ``` @@ -6351,14 +6355,14 @@ _Libraries to serialize models to files, convert between a variety of model form conda install -c conda-forge hummingbird-ml ```
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hls4ml (πŸ₯‰24 Β· ⭐ 960) - Machine learning on FPGAs using HLS. Apache-2 +
hls4ml (πŸ₯‰25 Β· ⭐ 960) - Machine learning on FPGAs using HLS. Apache-2 -- [GitHub](https://github.com/fastmachinelearning/hls4ml) (πŸ‘¨β€πŸ’» 56 Β· πŸ”€ 360 Β· πŸ“‹ 400 - 39% open Β· ⏱️ 08.11.2023): +- [GitHub](https://github.com/fastmachinelearning/hls4ml) (πŸ‘¨β€πŸ’» 56 Β· πŸ”€ 360 Β· πŸ“‹ 410 - 39% open Β· ⏱️ 16.11.2023): ``` git clone https://github.com/fastmachinelearning/hls4ml ``` -- [PyPi](https://pypi.org/project/hls4ml) (πŸ“₯ 630 / month Β· ⏱️ 08.11.2023): +- [PyPi](https://pypi.org/project/hls4ml) (πŸ“₯ 630 / month Β· ⏱️ 16.11.2023): ``` pip install hls4ml ``` @@ -6374,14 +6378,14 @@ _Libraries to serialize models to files, convert between a variety of model form ``` git clone https://github.com/nebuly-ai/nebullvm ``` -- [PyPi](https://pypi.org/project/nebullvm) (πŸ“₯ 610 / month Β· πŸ“¦ 2 Β· ⏱️ 18.06.2023): +- [PyPi](https://pypi.org/project/nebullvm) (πŸ“₯ 620 / month Β· πŸ“¦ 2 Β· ⏱️ 18.06.2023): ``` pip install nebullvm ```
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cortex (πŸ₯‰22 Β· ⭐ 8K Β· πŸ’€) - Production infrastructure for machine learning at scale. Apache-2 +
cortex (πŸ₯‰23 Β· ⭐ 8K Β· πŸ’€) - Production infrastructure for machine learning at scale. Apache-2 -- [GitHub](https://github.com/cortexlabs/cortex) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 610 Β· πŸ“‹ 1.1K - 10% open Β· ⏱️ 04.03.2023): +- [GitHub](https://github.com/cortexlabs/cortex) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 610 Β· πŸ“‹ 1.1K - 10% open Β· ⏱️ 04.03.2023): ``` git clone https://github.com/cortexlabs/cortex @@ -6399,7 +6403,7 @@ _Libraries to serialize models to files, convert between a variety of model form - Larq Compute Engine (πŸ₯‰20 Β· ⭐ 230) - Highly optimized inference engine for Binarized.. Apache-2 - pytorch2keras (πŸ₯‰19 Β· ⭐ 840 Β· πŸ’€) - PyTorch to Keras model convertor. MIT - OMLT (πŸ₯‰19 Β· ⭐ 220) - Represent trained machine learning models as Pyomo optimization formulations. BSD-3 -- modelkit (πŸ₯‰16 Β· ⭐ 150) - Toolkit for developing and maintaining ML models. MIT +- modelkit (πŸ₯‰17 Β· ⭐ 150) - Toolkit for developing and maintaining ML models. MIT - tfdeploy (πŸ₯‰15 Β· ⭐ 350 Β· πŸ’€) - Deploy tensorflow graphs for fast evaluation and export to.. BSD-3 - ml-ane-transformers (πŸ₯‰13 Β· ⭐ 2.4K Β· πŸ’€) - Reference implementation of the Transformer.. ❗Unlicensed - backprop (πŸ₯‰13 Β· ⭐ 240 Β· πŸ’€) - Backprop makes it simple to use, finetune, and deploy state-of-.. Apache-2 @@ -6419,7 +6423,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/slundberg/shap ``` -- [PyPi](https://pypi.org/project/shap) (πŸ“₯ 7.3M / month Β· πŸ“¦ 430 Β· ⏱️ 09.10.2023): +- [PyPi](https://pypi.org/project/shap) (πŸ“₯ 7.2M / month Β· πŸ“¦ 430 Β· ⏱️ 09.10.2023): ``` pip install shap ``` @@ -6430,7 +6434,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
arviz (πŸ₯‡35 Β· ⭐ 1.5K) - Exploratory analysis of Bayesian models with Python. Apache-2 -- [GitHub](https://github.com/arviz-devs/arviz) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 350 Β· πŸ“₯ 130 Β· πŸ“¦ 5.1K Β· πŸ“‹ 830 - 20% open Β· ⏱️ 30.10.2023): +- [GitHub](https://github.com/arviz-devs/arviz) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 360 Β· πŸ“₯ 130 Β· πŸ“¦ 5.2K Β· πŸ“‹ 830 - 20% open Β· ⏱️ 15.11.2023): ``` git clone https://github.com/arviz-devs/arviz @@ -6446,31 +6450,31 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
Netron (πŸ₯‡34 Β· ⭐ 24K) - Visualizer for neural network, deep learning and machine learning.. MIT -- [GitHub](https://github.com/lutzroeder/netron) (πŸ‘¨β€πŸ’» 2 Β· πŸ”€ 2.6K Β· πŸ“₯ 66K Β· πŸ“¦ 10 Β· πŸ“‹ 1K - 2% open Β· ⏱️ 09.11.2023): +- [GitHub](https://github.com/lutzroeder/netron) (πŸ‘¨β€πŸ’» 2 Β· πŸ”€ 2.6K Β· πŸ“₯ 67K Β· πŸ“¦ 11 Β· πŸ“‹ 1K - 2% open Β· ⏱️ 16.11.2023): ``` git clone https://github.com/lutzroeder/netron ``` -- [PyPi](https://pypi.org/project/netron) (πŸ“₯ 18K / month Β· πŸ“¦ 73 Β· ⏱️ 04.11.2023): +- [PyPi](https://pypi.org/project/netron) (πŸ“₯ 19K / month Β· πŸ“¦ 74 Β· ⏱️ 11.11.2023): ``` pip install netron ```
InterpretML (πŸ₯‡33 Β· ⭐ 5.8K) - Fit interpretable models. Explain blackbox machine learning. MIT -- [GitHub](https://github.com/interpretml/interpret) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 680 Β· πŸ“¦ 550 Β· πŸ“‹ 390 - 17% open Β· ⏱️ 09.11.2023): +- [GitHub](https://github.com/interpretml/interpret) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 680 Β· πŸ“¦ 560 Β· πŸ“‹ 390 - 18% open Β· ⏱️ 16.11.2023): ``` git clone https://github.com/interpretml/interpret ``` -- [PyPi](https://pypi.org/project/interpret) (πŸ“₯ 85K / month Β· πŸ“¦ 28 Β· ⏱️ 26.08.2023): +- [PyPi](https://pypi.org/project/interpret) (πŸ“₯ 86K / month Β· πŸ“¦ 28 Β· ⏱️ 26.08.2023): ``` pip install interpret ```
Captum (πŸ₯‡32 Β· ⭐ 4.3K) - Model interpretability and understanding for PyTorch. BSD-3 -- [GitHub](https://github.com/pytorch/captum) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 440 Β· πŸ“¦ 1.6K Β· πŸ“‹ 500 - 34% open Β· ⏱️ 07.11.2023): +- [GitHub](https://github.com/pytorch/captum) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 440 Β· πŸ“¦ 1.6K Β· πŸ“‹ 500 - 34% open Β· ⏱️ 10.11.2023): ``` git clone https://github.com/pytorch/captum @@ -6486,7 +6490,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
evaluate (πŸ₯‡32 Β· ⭐ 1.6K) - Evaluate: A library for easily evaluating machine learning models.. Apache-2 -- [GitHub](https://github.com/huggingface/evaluate) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 180 Β· πŸ“¦ 4.7K Β· πŸ“‹ 250 - 51% open Β· ⏱️ 02.11.2023): +- [GitHub](https://github.com/huggingface/evaluate) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 180 Β· πŸ“¦ 4.9K Β· πŸ“‹ 250 - 51% open Β· ⏱️ 02.11.2023): ``` git clone https://github.com/huggingface/evaluate @@ -6498,7 +6502,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
DoWhy (πŸ₯ˆ30 Β· ⭐ 6.3K) - DoWhy is a Python library for causal inference that supports explicit.. MIT -- [GitHub](https://github.com/py-why/dowhy) (πŸ‘¨β€πŸ’» 82 Β· πŸ”€ 860 Β· πŸ“₯ 33 Β· πŸ“¦ 300 Β· πŸ“‹ 420 - 30% open Β· ⏱️ 06.11.2023): +- [GitHub](https://github.com/py-why/dowhy) (πŸ‘¨β€πŸ’» 82 Β· πŸ”€ 860 Β· πŸ“₯ 33 Β· πŸ“¦ 300 Β· πŸ“‹ 420 - 30% open Β· ⏱️ 15.11.2023): ``` git clone https://github.com/py-why/dowhy @@ -6514,7 +6518,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
dtreeviz (πŸ₯ˆ30 Β· ⭐ 2.7K) - A python library for decision tree visualization and model interpretation. MIT -- [GitHub](https://github.com/parrt/dtreeviz) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 320 Β· πŸ“¦ 940 Β· πŸ“‹ 190 - 29% open Β· ⏱️ 13.07.2023): +- [GitHub](https://github.com/parrt/dtreeviz) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 320 Β· πŸ“¦ 950 Β· πŸ“‹ 190 - 29% open Β· ⏱️ 13.07.2023): ``` git clone https://github.com/parrt/dtreeviz @@ -6523,19 +6527,19 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` pip install dtreeviz ``` -- [Conda](https://anaconda.org/conda-forge/dtreeviz) (πŸ“₯ 62K Β· ⏱️ 13.07.2023): +- [Conda](https://anaconda.org/conda-forge/dtreeviz) (πŸ“₯ 63K Β· ⏱️ 13.07.2023): ``` conda install -c conda-forge dtreeviz ```
explainerdashboard (πŸ₯ˆ30 Β· ⭐ 2.1K) - Quickly build Explainable AI dashboards that show the inner.. MIT -- [GitHub](https://github.com/oegedijk/explainerdashboard) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 290 Β· πŸ“¦ 390 Β· πŸ“‹ 220 - 12% open Β· ⏱️ 01.08.2023): +- [GitHub](https://github.com/oegedijk/explainerdashboard) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 290 Β· πŸ“¦ 400 Β· πŸ“‹ 220 - 12% open Β· ⏱️ 01.08.2023): ``` git clone https://github.com/oegedijk/explainerdashboard ``` -- [PyPi](https://pypi.org/project/explainerdashboard) (πŸ“₯ 65K / month Β· πŸ“¦ 9 Β· ⏱️ 01.08.2023): +- [PyPi](https://pypi.org/project/explainerdashboard) (πŸ“₯ 64K / month Β· πŸ“¦ 9 Β· ⏱️ 01.08.2023): ``` pip install explainerdashboard ``` @@ -6544,26 +6548,38 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin conda install -c conda-forge explainerdashboard ```
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shapash (πŸ₯ˆ29 Β· ⭐ 2.5K) - Shapash: User-friendly Explainability and Interpretability to.. Apache-2 + +- [GitHub](https://github.com/MAIF/shapash) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 300 Β· πŸ“¦ 130 Β· πŸ“‹ 180 - 18% open Β· ⏱️ 16.11.2023): + + ``` + git clone https://github.com/MAIF/shapash + ``` +- [PyPi](https://pypi.org/project/shapash) (πŸ“₯ 5.8K / month Β· πŸ“¦ 2 Β· ⏱️ 20.09.2023): + ``` + pip install shapash + ``` +
Alibi (πŸ₯ˆ29 Β· ⭐ 2.2K) - Algorithms for explaining machine learning models. Apache-2 -- [GitHub](https://github.com/SeldonIO/alibi) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 230 Β· πŸ“¦ 530 Β· πŸ“‹ 360 - 37% open Β· ⏱️ 02.11.2023): +- [GitHub](https://github.com/SeldonIO/alibi) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 230 Β· πŸ“¦ 530 Β· πŸ“‹ 360 - 37% open Β· ⏱️ 13.11.2023): ``` git clone https://github.com/SeldonIO/alibi ``` -- [PyPi](https://pypi.org/project/alibi) (πŸ“₯ 22K / month Β· πŸ“¦ 25 Β· ⏱️ 07.07.2023): +- [PyPi](https://pypi.org/project/alibi) (πŸ“₯ 19K / month Β· πŸ“¦ 25 Β· ⏱️ 07.07.2023): ``` pip install alibi ```
pyLDAvis (πŸ₯ˆ29 Β· ⭐ 1.7K Β· πŸ’€) - Python library for interactive topic model visualization... BSD-3 -- [GitHub](https://github.com/bmabey/pyLDAvis) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 360 Β· πŸ“¦ 5.4K Β· πŸ“‹ 180 - 45% open Β· ⏱️ 24.04.2023): +- [GitHub](https://github.com/bmabey/pyLDAvis) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 360 Β· πŸ“¦ 5.5K Β· πŸ“‹ 180 - 45% open Β· ⏱️ 24.04.2023): ``` git clone https://github.com/bmabey/pyLDAvis ``` -- [PyPi](https://pypi.org/project/pyldavis) (πŸ“₯ 240K / month Β· πŸ“¦ 160 Β· ⏱️ 24.03.2021): +- [PyPi](https://pypi.org/project/pyldavis) (πŸ“₯ 230K / month Β· πŸ“¦ 160 Β· ⏱️ 24.03.2021): ``` pip install pyldavis ``` @@ -6574,12 +6590,12 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
fairlearn (πŸ₯ˆ29 Β· ⭐ 1.7K) - A Python package to assess and improve fairness of machine.. MIT -- [GitHub](https://github.com/fairlearn/fairlearn) (πŸ‘¨β€πŸ’» 76 Β· πŸ”€ 360 Β· πŸ“¦ 2 Β· πŸ“‹ 460 - 38% open Β· ⏱️ 27.10.2023): +- [GitHub](https://github.com/fairlearn/fairlearn) (πŸ‘¨β€πŸ’» 77 Β· πŸ”€ 360 Β· πŸ“¦ 2 Β· πŸ“‹ 460 - 37% open Β· ⏱️ 16.11.2023): ``` git clone https://github.com/fairlearn/fairlearn ``` -- [PyPi](https://pypi.org/project/fairlearn) (πŸ“₯ 330K / month Β· πŸ“¦ 24 Β· ⏱️ 27.07.2023): +- [PyPi](https://pypi.org/project/fairlearn) (πŸ“₯ 190K / month Β· πŸ“¦ 24 Β· ⏱️ 27.07.2023): ``` pip install fairlearn ``` @@ -6590,24 +6606,24 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
Model Analysis (πŸ₯ˆ29 Β· ⭐ 1.2K) - Model analysis tools for TensorFlow. Apache-2 -- [GitHub](https://github.com/tensorflow/model-analysis) (πŸ‘¨β€πŸ’» 56 Β· πŸ”€ 270 Β· πŸ“‹ 87 - 39% open Β· ⏱️ 08.11.2023): +- [GitHub](https://github.com/tensorflow/model-analysis) (πŸ‘¨β€πŸ’» 56 Β· πŸ”€ 270 Β· πŸ“‹ 87 - 39% open Β· ⏱️ 16.11.2023): ``` git clone https://github.com/tensorflow/model-analysis ``` -- [PyPi](https://pypi.org/project/tensorflow-model-analysis) (πŸ“₯ 100K / month Β· πŸ“¦ 23 Β· ⏱️ 14.08.2023): +- [PyPi](https://pypi.org/project/tensorflow-model-analysis) (πŸ“₯ 94K / month Β· πŸ“¦ 23 Β· ⏱️ 14.08.2023): ``` pip install tensorflow-model-analysis ```
responsible-ai-widgets (πŸ₯ˆ29 Β· ⭐ 1K) - Responsible AI Toolbox is a suite of tools providing.. MIT -- [GitHub](https://github.com/microsoft/responsible-ai-toolbox) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 250 Β· πŸ“¦ 71 Β· πŸ“‹ 300 - 26% open Β· ⏱️ 03.11.2023): +- [GitHub](https://github.com/microsoft/responsible-ai-toolbox) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 270 Β· πŸ“¦ 72 Β· πŸ“‹ 300 - 25% open Β· ⏱️ 15.11.2023): ``` git clone https://github.com/microsoft/responsible-ai-toolbox ``` -- [PyPi](https://pypi.org/project/raiwidgets) (πŸ“₯ 5.9K / month Β· πŸ“¦ 3 Β· ⏱️ 17.10.2023): +- [PyPi](https://pypi.org/project/raiwidgets) (πŸ“₯ 5.9K / month Β· πŸ“¦ 3 Β· ⏱️ 15.11.2023): ``` pip install raiwidgets ``` @@ -6619,7 +6635,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/PAIR-code/lit ``` -- [PyPi](https://pypi.org/project/lit-nlp) (πŸ“₯ 3.4K / month Β· πŸ“¦ 1 Β· ⏱️ 08.11.2023): +- [PyPi](https://pypi.org/project/lit-nlp) (πŸ“₯ 3.7K / month Β· πŸ“¦ 1 Β· ⏱️ 08.11.2023): ``` pip install lit-nlp ``` @@ -6628,26 +6644,14 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin conda install -c conda-forge lit-nlp ```
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shapash (πŸ₯ˆ28 Β· ⭐ 2.5K) - Shapash: User-friendly Explainability and Interpretability to.. Apache-2 - -- [GitHub](https://github.com/MAIF/shapash) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 300 Β· πŸ“¦ 130 Β· πŸ“‹ 180 - 18% open Β· ⏱️ 03.11.2023): - - ``` - git clone https://github.com/MAIF/shapash - ``` -- [PyPi](https://pypi.org/project/shapash) (πŸ“₯ 5.9K / month Β· πŸ“¦ 2 Β· ⏱️ 20.09.2023): - ``` - pip install shapash - ``` -
imodels (πŸ₯ˆ28 Β· ⭐ 1.2K) - Interpretable ML package for concise, transparent, and accurate.. MIT -- [GitHub](https://github.com/csinva/imodels) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 110 Β· πŸ“¦ 57 Β· πŸ“‹ 77 - 33% open Β· ⏱️ 02.11.2023): +- [GitHub](https://github.com/csinva/imodels) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 110 Β· πŸ“¦ 58 Β· πŸ“‹ 78 - 33% open Β· ⏱️ 16.11.2023): ``` git clone https://github.com/csinva/imodels ``` -- [PyPi](https://pypi.org/project/imodels) (πŸ“₯ 150K / month Β· πŸ“¦ 4 Β· ⏱️ 05.10.2023): +- [PyPi](https://pypi.org/project/imodels) (πŸ“₯ 140K / month Β· πŸ“¦ 4 Β· ⏱️ 05.10.2023): ``` pip install imodels ``` @@ -6670,12 +6674,12 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
Fairness 360 (πŸ₯ˆ26 Β· ⭐ 2.2K) - A comprehensive set of fairness metrics for datasets and.. Apache-2 -- [GitHub](https://github.com/Trusted-AI/AIF360) (πŸ‘¨β€πŸ’» 69 Β· πŸ”€ 770 Β· πŸ“¦ 320 Β· πŸ“‹ 260 - 64% open Β· ⏱️ 11.10.2023): +- [GitHub](https://github.com/Trusted-AI/AIF360) (πŸ‘¨β€πŸ’» 70 Β· πŸ”€ 770 Β· πŸ“¦ 320 Β· πŸ“‹ 260 - 63% open Β· ⏱️ 10.11.2023): ``` git clone https://github.com/Trusted-AI/AIF360 ``` -- [PyPi](https://pypi.org/project/aif360) (πŸ“₯ 6.1K / month Β· πŸ“¦ 12 Β· ⏱️ 04.03.2021): +- [PyPi](https://pypi.org/project/aif360) (πŸ“₯ 6.5K / month Β· πŸ“¦ 12 Β· ⏱️ 04.03.2021): ``` pip install aif360 ``` @@ -6698,12 +6702,12 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
iNNvestigate (πŸ₯ˆ26 Β· ⭐ 1.2K) - A toolbox to iNNvestigate neural networks predictions!. BSD-2 -- [GitHub](https://github.com/albermax/innvestigate) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 240 Β· πŸ“₯ 82 Β· πŸ“¦ 110 Β· πŸ“‹ 260 - 20% open Β· ⏱️ 12.10.2023): +- [GitHub](https://github.com/albermax/innvestigate) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 240 Β· πŸ“₯ 86 Β· πŸ“¦ 110 Β· πŸ“‹ 260 - 20% open Β· ⏱️ 12.10.2023): ``` git clone https://github.com/albermax/innvestigate ``` -- [PyPi](https://pypi.org/project/innvestigate) (πŸ“₯ 750 / month Β· πŸ“¦ 2 Β· ⏱️ 12.10.2023): +- [PyPi](https://pypi.org/project/innvestigate) (πŸ“₯ 620 / month Β· πŸ“¦ 2 Β· ⏱️ 12.10.2023): ``` pip install innvestigate ``` @@ -6715,11 +6719,11 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/marcotcr/checklist ``` -- [PyPi](https://pypi.org/project/checklist) (πŸ“₯ 4.3K / month Β· πŸ“¦ 7 Β· ⏱️ 24.05.2021): +- [PyPi](https://pypi.org/project/checklist) (πŸ“₯ 4.6K / month Β· πŸ“¦ 7 Β· ⏱️ 24.05.2021): ``` pip install checklist ``` -- [Conda](https://anaconda.org/conda-forge/checklist) (πŸ“₯ 6.5K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/checklist) (πŸ“₯ 6.6K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge checklist ``` @@ -6731,7 +6735,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/Trusted-AI/AIX360 ``` -- [PyPi](https://pypi.org/project/aix360) (πŸ“₯ 1.3K / month Β· πŸ“¦ 1 Β· ⏱️ 31.07.2023): +- [PyPi](https://pypi.org/project/aix360) (πŸ“₯ 1.4K / month Β· πŸ“¦ 1 Β· ⏱️ 31.07.2023): ``` pip install aix360 ``` @@ -6743,7 +6747,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/interpretml/DiCE ``` -- [PyPi](https://pypi.org/project/dice-ml) (πŸ“₯ 43K / month Β· πŸ“¦ 6 Β· ⏱️ 27.10.2023): +- [PyPi](https://pypi.org/project/dice-ml) (πŸ“₯ 46K / month Β· πŸ“¦ 6 Β· ⏱️ 27.10.2023): ``` pip install dice-ml ``` @@ -6755,7 +6759,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/philipperemy/keract ``` -- [PyPi](https://pypi.org/project/keract) (πŸ“₯ 5.6K / month Β· πŸ“¦ 9 Β· ⏱️ 25.09.2022): +- [PyPi](https://pypi.org/project/keract) (πŸ“₯ 5.8K / month Β· πŸ“¦ 9 Β· ⏱️ 25.09.2022): ``` pip install keract ``` @@ -6767,7 +6771,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/PAIR-code/what-if-tool ``` -- [PyPi](https://pypi.org/project/witwidget) (πŸ“₯ 4.6K / month Β· πŸ“¦ 4 Β· ⏱️ 12.10.2021): +- [PyPi](https://pypi.org/project/witwidget) (πŸ“₯ 4.9K / month Β· πŸ“¦ 4 Β· ⏱️ 12.10.2021): ``` pip install witwidget ``` @@ -6775,19 +6779,19 @@ _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) (πŸ“₯ 1.1K / month Β· πŸ“¦ 1 Β· ⏱️ 12.10.2021): +- [npm](https://www.npmjs.com/package/wit-widget) (πŸ“₯ 1K / month Β· πŸ“¦ 1 Β· ⏱️ 12.10.2021): ``` npm install wit-widget ```
ecco (πŸ₯‰21 Β· ⭐ 1.8K) - Explain, analyze, and visualize NLP language models. Ecco creates.. BSD-3 -- [GitHub](https://github.com/jalammar/ecco) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 150 Β· πŸ“₯ 67 Β· πŸ“¦ 27 Β· πŸ“‹ 57 - 45% open Β· ⏱️ 10.08.2023): +- [GitHub](https://github.com/jalammar/ecco) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 140 Β· πŸ“₯ 67 Β· πŸ“¦ 28 Β· πŸ“‹ 57 - 45% open Β· ⏱️ 10.08.2023): ``` git clone https://github.com/jalammar/ecco ``` -- [PyPi](https://pypi.org/project/ecco) (πŸ“₯ 400 / month Β· πŸ“¦ 1 Β· ⏱️ 09.01.2022): +- [PyPi](https://pypi.org/project/ecco) (πŸ“₯ 410 / month Β· πŸ“¦ 1 Β· ⏱️ 09.01.2022): ``` pip install ecco ``` @@ -6810,36 +6814,36 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
model-card-toolkit (πŸ₯‰20 Β· ⭐ 390) - A toolkit that streamlines and automates the generation.. Apache-2 -- [GitHub](https://github.com/tensorflow/model-card-toolkit) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 79 Β· πŸ“₯ 9 Β· πŸ“¦ 21 Β· πŸ“‹ 33 - 30% open Β· ⏱️ 26.07.2023): +- [GitHub](https://github.com/tensorflow/model-card-toolkit) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 79 Β· πŸ“₯ 11 Β· πŸ“¦ 21 Β· πŸ“‹ 33 - 30% open Β· ⏱️ 26.07.2023): ``` git clone https://github.com/tensorflow/model-card-toolkit ``` -- [PyPi](https://pypi.org/project/model-card-toolkit) (πŸ“₯ 1.1K / month Β· πŸ“¦ 1 Β· ⏱️ 28.04.2022): +- [PyPi](https://pypi.org/project/model-card-toolkit) (πŸ“₯ 1.4K / month Β· πŸ“¦ 1 Β· ⏱️ 28.04.2022): ``` pip install model-card-toolkit ```
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fairness-indicators (πŸ₯‰18 Β· ⭐ 320) - Tensorflows Fairness Evaluation and Visualization.. Apache-2 +
fairness-indicators (πŸ₯‰19 Β· ⭐ 320) - Tensorflows Fairness Evaluation and Visualization.. Apache-2 - [GitHub](https://github.com/tensorflow/fairness-indicators) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 78 Β· πŸ“‹ 30 - 70% open Β· ⏱️ 16.08.2023): ``` git clone https://github.com/tensorflow/fairness-indicators ``` -- [PyPi](https://pypi.org/project/fairness-indicators) (πŸ“₯ 3.5K / month Β· ⏱️ 13.12.2022): +- [PyPi](https://pypi.org/project/fairness-indicators) (πŸ“₯ 1.7K / month Β· ⏱️ 13.12.2022): ``` pip install fairness-indicators ```
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LOFO (πŸ₯‰17 Β· ⭐ 780 Β· πŸ’€) - Leave One Feature Out Importance. MIT +
LOFO (πŸ₯‰18 Β· ⭐ 780 Β· πŸ’€) - Leave One Feature Out Importance. MIT -- [GitHub](https://github.com/aerdem4/lofo-importance) (πŸ‘¨β€πŸ’» 5 Β· πŸ”€ 77 Β· πŸ“¦ 27 Β· πŸ“‹ 28 - 21% open Β· ⏱️ 14.04.2023): +- [GitHub](https://github.com/aerdem4/lofo-importance) (πŸ‘¨β€πŸ’» 5 Β· πŸ”€ 78 Β· πŸ“¦ 27 Β· πŸ“‹ 28 - 21% open Β· ⏱️ 14.04.2023): ``` git clone https://github.com/aerdem4/lofo-importance ``` -- [PyPi](https://pypi.org/project/lofo-importance) (πŸ“₯ 1K / month Β· πŸ“¦ 2 Β· ⏱️ 27.04.2022): +- [PyPi](https://pypi.org/project/lofo-importance) (πŸ“₯ 880 / month Β· πŸ“¦ 2 Β· ⏱️ 27.04.2022): ``` pip install lofo-importance ``` @@ -6863,7 +6867,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/MisaOgura/flashtorch ``` -- [PyPi](https://pypi.org/project/flashtorch) (πŸ“₯ 330 / month Β· ⏱️ 29.05.2020): +- [PyPi](https://pypi.org/project/flashtorch) (πŸ“₯ 340 / month Β· ⏱️ 29.05.2020): ``` pip install flashtorch ``` @@ -6875,7 +6879,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/interpretml/interpret-text ``` -- [PyPi](https://pypi.org/project/interpret-text) (πŸ“₯ 42 / month Β· ⏱️ 07.12.2021): +- [PyPi](https://pypi.org/project/interpret-text) (πŸ“₯ 46 / month Β· ⏱️ 07.12.2021): ``` pip install interpret-text ``` @@ -6885,19 +6889,19 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin - Lime (πŸ₯‡33 Β· ⭐ 11K Β· πŸ’€) - Lime: Explaining the predictions of any machine learning classifier. BSD-2 - Deep Checks (πŸ₯ˆ29 Β· ⭐ 3.1K) - Deepchecks: Tests for Continuous Validation of ML Models &.. ❗️AGPL-3.0 - scikit-plot (πŸ₯ˆ28 Β· ⭐ 2.4K Β· πŸ’€) - An intuitive library to add plotting functionality to.. MIT -- eli5 (πŸ₯ˆ27 Β· ⭐ 2.7K Β· πŸ’€) - A library for debugging/inspecting machine learning classifiers and.. MIT +- eli5 (πŸ₯ˆ26 Β· ⭐ 2.7K Β· πŸ’€) - A library for debugging/inspecting machine learning classifiers and.. MIT - Lucid (πŸ₯‰25 Β· ⭐ 4.6K Β· πŸ’€) - A collection of infrastructure and tools for research in.. Apache-2 - DALEX (πŸ₯‰25 Β· ⭐ 1.3K) - moDel Agnostic Language for Exploration and eXplanation. ❗️GPL-3.0 - keras-vis (πŸ₯‰24 Β· ⭐ 3K Β· πŸ’€) - Neural network visualization toolkit for keras. MIT - tf-explain (πŸ₯‰22 Β· ⭐ 1K Β· πŸ’€) - Interpretability Methods for tf.keras models with Tensorflow.. MIT - TreeInterpreter (πŸ₯‰22 Β· ⭐ 730 Β· πŸ’€) - Package for interpreting scikit-learns decision tree.. BSD-3 - random-forest-importances (πŸ₯‰22 Β· ⭐ 580 Β· πŸ’€) - Code to compute permutation and drop-column.. MIT +- Quantus (πŸ₯‰22 Β· ⭐ 430) - Quantus is an eXplainable AI toolkit for responsible evaluation of.. ❗️GPL-3.0 - deeplift (πŸ₯‰21 Β· ⭐ 770 Β· πŸ’€) - Public facing deeplift repo. MIT -- Quantus (πŸ₯‰21 Β· ⭐ 430) - Quantus is an eXplainable AI toolkit for responsible evaluation of.. ❗️GPL-3.0 -- tcav (πŸ₯‰20 Β· ⭐ 590 Β· πŸ’€) - Code for the TCAV ML interpretability project. Apache-2 +- tcav (πŸ₯‰20 Β· ⭐ 600 Β· πŸ’€) - Code for the TCAV ML interpretability project. Apache-2 - XAI (πŸ₯‰17 Β· ⭐ 950 Β· πŸ’€) - XAI - An eXplainability toolbox for machine learning. MIT -- Anchor (πŸ₯‰16 Β· ⭐ 770 Β· πŸ’€) - Code for High-Precision Model-Agnostic Explanations paper. BSD-2 -- Skater (πŸ₯‰15 Β· ⭐ 1.1K Β· πŸ“ˆ) - Python Library for Model Interpretation/Explanations. ❗️UPL-1.0 +- Anchor (πŸ₯‰16 Β· ⭐ 760 Β· πŸ’€) - Code for High-Precision Model-Agnostic Explanations paper. BSD-2 +- Skater (πŸ₯‰15 Β· ⭐ 1.1K) - Python Library for Model Interpretation/Explanations. ❗️UPL-1.0 - ExplainX.ai (πŸ₯‰14 Β· ⭐ 370 Β· πŸ’€) - Explainable AI framework for data scientists. Explain & debug any.. MIT - Attribution Priors (πŸ₯‰12 Β· ⭐ 120 Β· πŸ’€) - Tools for training explainable models using.. MIT - contextual-ai (πŸ₯‰12 Β· ⭐ 86 Β· πŸ’€) - Contextual AI adds explainability to different stages of.. Apache-2 @@ -6915,28 +6919,28 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
Milvus (πŸ₯‡41 Β· ⭐ 24K) - A cloud-native vector database, storage for next generation AI.. Apache-2 -- [GitHub](https://github.com/milvus-io/milvus) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 2.5K Β· πŸ“₯ 53K Β· πŸ“‹ 9.5K - 7% open Β· ⏱️ 09.11.2023): +- [GitHub](https://github.com/milvus-io/milvus) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 2.5K Β· πŸ“₯ 52K Β· πŸ“‹ 9.5K - 7% open Β· ⏱️ 16.11.2023): ``` git clone https://github.com/milvus-io/milvus ``` -- [PyPi](https://pypi.org/project/pymilvus) (πŸ“₯ 490K / month Β· πŸ“¦ 49 Β· ⏱️ 26.10.2023): +- [PyPi](https://pypi.org/project/pymilvus) (πŸ“₯ 500K / month Β· πŸ“¦ 67 Β· ⏱️ 14.11.2023): ``` pip install pymilvus ``` -- [Docker Hub](https://hub.docker.com/r/milvusdb/milvus) (πŸ“₯ 7.4M Β· ⭐ 37 Β· ⏱️ 09.11.2023): +- [Docker Hub](https://hub.docker.com/r/milvusdb/milvus) (πŸ“₯ 7.7M Β· ⭐ 37 Β· ⏱️ 16.11.2023): ``` docker pull milvusdb/milvus ```
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Faiss (πŸ₯‡38 Β· ⭐ 25K) - A library for efficient similarity search and clustering of dense vectors. MIT +
Faiss (πŸ₯‡37 Β· ⭐ 25K) - A library for efficient similarity search and clustering of dense vectors. MIT -- [GitHub](https://github.com/facebookresearch/faiss) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 3.1K Β· πŸ“¦ 3.2K Β· πŸ“‹ 2.2K - 16% open Β· ⏱️ 06.11.2023): +- [GitHub](https://github.com/facebookresearch/faiss) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 3.1K Β· πŸ“¦ 3.3K Β· πŸ“‹ 2.2K - 16% open Β· ⏱️ 15.11.2023): ``` git clone https://github.com/facebookresearch/faiss ``` -- [PyPi](https://pypi.org/project/pymilvus) (πŸ“₯ 490K / month Β· πŸ“¦ 49 Β· ⏱️ 26.10.2023): +- [PyPi](https://pypi.org/project/pymilvus) (πŸ“₯ 500K / month Β· πŸ“¦ 67 Β· ⏱️ 14.11.2023): ``` pip install pymilvus ``` @@ -6945,7 +6949,7 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit conda install -c conda-forge faiss ```
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Annoy (πŸ₯ˆ35 Β· ⭐ 12K) - Approximate Nearest Neighbors in C++/Python optimized for memory usage.. Apache-2 +
Annoy (πŸ₯ˆ34 Β· ⭐ 12K) - Approximate Nearest Neighbors in C++/Python optimized for memory usage.. Apache-2 - [GitHub](https://github.com/spotify/annoy) (πŸ‘¨β€πŸ’» 88 Β· πŸ”€ 1.1K Β· πŸ“¦ 3.3K Β· πŸ“‹ 400 - 13% open Β· ⏱️ 20.08.2023): @@ -6963,12 +6967,12 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
hnswlib (πŸ₯ˆ31 Β· ⭐ 3.6K Β· πŸ’€) - Header-only C++/python library for fast approximate nearest.. Apache-2 -- [GitHub](https://github.com/nmslib/hnswlib) (πŸ‘¨β€πŸ’» 65 Β· πŸ”€ 510 Β· πŸ“¦ 5.3K Β· πŸ“‹ 320 - 53% open Β· ⏱️ 05.02.2023): +- [GitHub](https://github.com/nmslib/hnswlib) (πŸ‘¨β€πŸ’» 65 Β· πŸ”€ 510 Β· πŸ“¦ 5.4K Β· πŸ“‹ 320 - 53% open Β· ⏱️ 05.02.2023): ``` git clone https://github.com/nmslib/hnswlib ``` -- [PyPi](https://pypi.org/project/hnswlib) (πŸ“₯ 740K / month Β· πŸ“¦ 51 Β· ⏱️ 05.02.2023): +- [PyPi](https://pypi.org/project/hnswlib) (πŸ“₯ 710K / month Β· πŸ“¦ 51 Β· ⏱️ 05.02.2023): ``` pip install hnswlib ``` @@ -6977,14 +6981,14 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit conda install -c conda-forge hnswlib ```
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PyNNDescent (πŸ₯‰28 Β· ⭐ 810) - A Python nearest neighbor descent for approximate nearest neighbors. BSD-2 +
PyNNDescent (πŸ₯‰29 Β· ⭐ 810) - A Python nearest neighbor descent for approximate nearest neighbors. BSD-2 -- [GitHub](https://github.com/lmcinnes/pynndescent) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 100 Β· πŸ“¦ 4.7K Β· πŸ“‹ 130 - 52% open Β· ⏱️ 12.09.2023): +- [GitHub](https://github.com/lmcinnes/pynndescent) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 100 Β· πŸ“¦ 4.8K Β· πŸ“‹ 130 - 52% open Β· ⏱️ 09.11.2023): ``` git clone https://github.com/lmcinnes/pynndescent ``` -- [PyPi](https://pypi.org/project/pynndescent) (πŸ“₯ 920K / month Β· πŸ“¦ 59 Β· ⏱️ 31.10.2022): +- [PyPi](https://pypi.org/project/pynndescent) (πŸ“₯ 870K / month Β· πŸ“¦ 62 Β· ⏱️ 31.10.2022): ``` pip install pynndescent ``` @@ -6993,34 +6997,34 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit conda install -c conda-forge pynndescent ```
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USearch (πŸ₯‰27 Β· ⭐ 870) - Fastest Open-Source Search & Clustering engine for Vectors & Strings.. Apache-2 +
USearch (πŸ₯‰27 Β· ⭐ 980) - Fastest Open-Source Search & Clustering engine for Vectors & Strings.. Apache-2 -- [GitHub](https://github.com/unum-cloud/usearch) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 44 Β· πŸ“₯ 430 Β· πŸ“¦ 24 Β· πŸ“‹ 65 - 30% open Β· ⏱️ 09.11.2023): +- [GitHub](https://github.com/unum-cloud/usearch) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 49 Β· πŸ“₯ 590 Β· πŸ“¦ 24 Β· πŸ“‹ 58 - 17% open Β· ⏱️ 13.11.2023): ``` git clone https://github.com/unum-cloud/usearch ``` -- [PyPi](https://pypi.org/project/usearch) (πŸ“₯ 42K / month Β· πŸ“¦ 1 Β· ⏱️ 09.11.2023): +- [PyPi](https://pypi.org/project/usearch) (πŸ“₯ 47K / month Β· πŸ“¦ 1 Β· ⏱️ 13.11.2023): ``` pip install usearch ``` -- [npm](https://www.npmjs.com/package/usearch) (πŸ“₯ 7.9K / month Β· πŸ“¦ 4 Β· ⏱️ 09.11.2023): +- [npm](https://www.npmjs.com/package/usearch) (πŸ“₯ 7.6K / month Β· πŸ“¦ 4 Β· ⏱️ 13.11.2023): ``` npm install usearch ``` -- [Docker Hub](https://hub.docker.com/r/unum/usearch) (πŸ“₯ 41 Β· ⭐ 1 Β· ⏱️ 09.11.2023): +- [Docker Hub](https://hub.docker.com/r/unum/usearch) (πŸ“₯ 41 Β· ⭐ 1 Β· ⏱️ 13.11.2023): ``` docker pull unum/usearch ```
NGT (πŸ₯‰22 Β· ⭐ 1.1K) - Nearest Neighbor Search with Neighborhood Graph and Tree for High-.. Apache-2 -- [GitHub](https://github.com/yahoojapan/NGT) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 100 Β· πŸ“‹ 130 - 12% open Β· ⏱️ 09.11.2023): +- [GitHub](https://github.com/yahoojapan/NGT) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 110 Β· πŸ“‹ 130 - 13% open Β· ⏱️ 13.11.2023): ``` git clone https://github.com/yahoojapan/NGT ``` -- [PyPi](https://pypi.org/project/ngt) (πŸ“₯ 6.4K / month Β· πŸ“¦ 8 Β· ⏱️ 02.11.2023): +- [PyPi](https://pypi.org/project/ngt) (πŸ“₯ 6.6K / month Β· πŸ“¦ 8 Β· ⏱️ 14.11.2023): ``` pip install ngt ``` @@ -7032,19 +7036,19 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit ``` git clone https://github.com/pixelogik/NearPy ``` -- [PyPi](https://pypi.org/project/NearPy) (πŸ“₯ 730 / month Β· πŸ“¦ 16 Β· ⏱️ 27.09.2016): +- [PyPi](https://pypi.org/project/NearPy) (πŸ“₯ 770 / month Β· πŸ“¦ 16 Β· ⏱️ 27.09.2016): ``` pip install NearPy ```
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N2 (πŸ₯‰19 Β· ⭐ 550) - TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast.. Apache-2 +
N2 (πŸ₯‰19 Β· ⭐ 560) - TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast.. Apache-2 -- [GitHub](https://github.com/kakao/n2) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 71 Β· πŸ“¦ 30 Β· πŸ“‹ 35 - 37% open Β· ⏱️ 27.06.2023): +- [GitHub](https://github.com/kakao/n2) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 71 Β· πŸ“¦ 31 Β· πŸ“‹ 35 - 37% open Β· ⏱️ 27.06.2023): ``` git clone https://github.com/kakao/n2 ``` -- [PyPi](https://pypi.org/project/n2) (πŸ“₯ 360 / month Β· πŸ“¦ 4 Β· ⏱️ 16.10.2020): +- [PyPi](https://pypi.org/project/n2) (πŸ“₯ 320 / month Β· πŸ“¦ 4 Β· ⏱️ 16.10.2020): ``` pip install n2 ``` @@ -7063,9 +7067,9 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit _Libraries providing capabilities for probabilistic programming/reasoning, bayesian inference, gaussian processes, or statistics._ -
PyMC3 (πŸ₯‡40 Β· ⭐ 7.9K) - Bayesian Modeling in Python. Apache-2 +
PyMC3 (πŸ₯‡40 Β· ⭐ 7.9K) - Bayesian Modeling in Python with MCMC and VI. Apache-2 -- [GitHub](https://github.com/pymc-devs/pymc) (πŸ‘¨β€πŸ’» 470 Β· πŸ”€ 1.8K Β· πŸ“₯ 1.9K Β· πŸ“¦ 2.2K Β· πŸ“‹ 3.1K - 6% open Β· ⏱️ 08.11.2023): +- [GitHub](https://github.com/pymc-devs/pymc) (πŸ‘¨β€πŸ’» 470 Β· πŸ”€ 1.8K Β· πŸ“₯ 1.9K Β· πŸ“¦ 2.3K Β· πŸ“‹ 3.1K - 6% open Β· ⏱️ 14.11.2023): ``` git clone https://github.com/pymc-devs/pymc @@ -7086,23 +7090,23 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes ``` git clone https://github.com/tensorflow/probability ``` -- [PyPi](https://pypi.org/project/tensorflow-probability) (πŸ“₯ 1.3M / month Β· πŸ“¦ 430 Β· ⏱️ 23.10.2023): +- [PyPi](https://pypi.org/project/tensorflow-probability) (πŸ“₯ 1.3M / month Β· πŸ“¦ 440 Β· ⏱️ 23.10.2023): ``` pip install tensorflow-probability ``` -- [Conda](https://anaconda.org/conda-forge/tensorflow-probability) (πŸ“₯ 120K Β· ⏱️ 30.10.2023): +- [Conda](https://anaconda.org/conda-forge/tensorflow-probability) (πŸ“₯ 120K Β· ⏱️ 15.11.2023): ``` conda install -c conda-forge tensorflow-probability ```
Pyro (πŸ₯‡35 Β· ⭐ 8.2K) - Deep universal probabilistic programming with Python and PyTorch. Apache-2 -- [GitHub](https://github.com/pyro-ppl/pyro) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 970 Β· πŸ“¦ 1.7K Β· πŸ“‹ 1.1K - 22% open Β· ⏱️ 05.11.2023): +- [GitHub](https://github.com/pyro-ppl/pyro) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 970 Β· πŸ“¦ 1.7K Β· πŸ“‹ 1.1K - 22% open Β· ⏱️ 13.11.2023): ``` git clone https://github.com/pyro-ppl/pyro ``` -- [PyPi](https://pypi.org/project/pyro-ppl) (πŸ“₯ 360K / month Β· πŸ“¦ 92 Β· ⏱️ 29.07.2023): +- [PyPi](https://pypi.org/project/pyro-ppl) (πŸ“₯ 330K / month Β· πŸ“¦ 92 Β· ⏱️ 29.07.2023): ``` pip install pyro-ppl ``` @@ -7113,12 +7117,12 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
GPyTorch (πŸ₯ˆ31 Β· ⭐ 3.3K) - A highly efficient implementation of Gaussian Processes in PyTorch. MIT -- [GitHub](https://github.com/cornellius-gp/gpytorch) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 500 Β· πŸ“¦ 1.6K Β· πŸ“‹ 1.3K - 24% open Β· ⏱️ 26.10.2023): +- [GitHub](https://github.com/cornellius-gp/gpytorch) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 500 Β· πŸ“¦ 1.7K Β· πŸ“‹ 1.3K - 24% open Β· ⏱️ 13.11.2023): ``` git clone https://github.com/cornellius-gp/gpytorch ``` -- [PyPi](https://pypi.org/project/gpytorch) (πŸ“₯ 200K / month Β· πŸ“¦ 67 Β· ⏱️ 02.06.2023): +- [PyPi](https://pypi.org/project/gpytorch) (πŸ“₯ 190K / month Β· πŸ“¦ 67 Β· ⏱️ 02.06.2023): ``` pip install gpytorch ``` @@ -7129,7 +7133,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
pgmpy (πŸ₯ˆ31 Β· ⭐ 2.5K) - Python Library for learning (Structure and Parameter), inference.. MIT -- [GitHub](https://github.com/pgmpy/pgmpy) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 680 Β· πŸ“₯ 300 Β· πŸ“¦ 760 Β· πŸ“‹ 870 - 29% open Β· ⏱️ 03.11.2023): +- [GitHub](https://github.com/pgmpy/pgmpy) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 680 Β· πŸ“₯ 300 Β· πŸ“¦ 770 Β· πŸ“‹ 880 - 29% open Β· ⏱️ 03.11.2023): ``` git clone https://github.com/pgmpy/pgmpy @@ -7146,7 +7150,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes ``` git clone https://github.com/dfm/emcee ``` -- [PyPi](https://pypi.org/project/emcee) (πŸ“₯ 90K / month Β· πŸ“¦ 350 Β· ⏱️ 10.05.2022): +- [PyPi](https://pypi.org/project/emcee) (πŸ“₯ 92K / month Β· πŸ“¦ 360 Β· ⏱️ 10.05.2022): ``` pip install emcee ``` @@ -7157,7 +7161,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
pomegranate (πŸ₯ˆ30 Β· ⭐ 3.2K) - Fast, flexible and easy to use probabilistic modelling in Python. MIT -- [GitHub](https://github.com/jmschrei/pomegranate) (πŸ‘¨β€πŸ’» 71 Β· πŸ”€ 570 Β· πŸ“¦ 1K Β· πŸ“‹ 740 - 3% open Β· ⏱️ 26.08.2023): +- [GitHub](https://github.com/jmschrei/pomegranate) (πŸ‘¨β€πŸ’» 72 Β· πŸ”€ 570 Β· πŸ“¦ 1K Β· πŸ“‹ 740 - 3% open Β· ⏱️ 13.11.2023): ``` git clone https://github.com/jmschrei/pomegranate @@ -7189,7 +7193,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
SALib (πŸ₯ˆ30 Β· ⭐ 750) - Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and.. MIT -- [GitHub](https://github.com/SALib/SALib) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 220 Β· πŸ“¦ 930 Β· πŸ“‹ 320 - 15% open Β· ⏱️ 13.10.2023): +- [GitHub](https://github.com/SALib/SALib) (πŸ‘¨β€πŸ’» 44 Β· πŸ”€ 220 Β· πŸ“¦ 940 Β· πŸ“‹ 320 - 14% open Β· ⏱️ 14.11.2023): ``` git clone https://github.com/SALib/SALib @@ -7203,14 +7207,14 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes conda install -c conda-forge salib ```
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hmmlearn (πŸ₯‰29 Β· ⭐ 2.8K) - Hidden Markov Models in Python, with scikit-learn like API. BSD-3 +
hmmlearn (πŸ₯‰29 Β· ⭐ 2.9K) - Hidden Markov Models in Python, with scikit-learn like API. BSD-3 - [GitHub](https://github.com/hmmlearn/hmmlearn) (πŸ‘¨β€πŸ’» 45 Β· πŸ”€ 730 Β· πŸ“¦ 2.1K Β· πŸ“‹ 420 - 13% open Β· ⏱️ 31.08.2023): ``` git clone https://github.com/hmmlearn/hmmlearn ``` -- [PyPi](https://pypi.org/project/hmmlearn) (πŸ“₯ 170K / month Β· πŸ“¦ 140 Β· ⏱️ 10.02.2022): +- [PyPi](https://pypi.org/project/hmmlearn) (πŸ“₯ 160K / month Β· πŸ“¦ 140 Β· ⏱️ 10.02.2022): ``` pip install hmmlearn ``` @@ -7219,14 +7223,14 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes conda install -c conda-forge hmmlearn ```
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bambi (πŸ₯‰27 Β· ⭐ 940) - BAyesian Model-Building Interface (Bambi) in Python. MIT +
bambi (πŸ₯‰27 Β· ⭐ 950) - BAyesian Model-Building Interface (Bambi) in Python. MIT -- [GitHub](https://github.com/bambinos/bambi) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 110 Β· πŸ“¦ 93 Β· πŸ“‹ 360 - 18% open Β· ⏱️ 06.11.2023): +- [GitHub](https://github.com/bambinos/bambi) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 110 Β· πŸ“¦ 96 Β· πŸ“‹ 370 - 19% open Β· ⏱️ 11.11.2023): ``` git clone https://github.com/bambinos/bambi ``` -- [PyPi](https://pypi.org/project/bambi) (πŸ“₯ 16K / month Β· πŸ“¦ 9 Β· ⏱️ 25.10.2023): +- [PyPi](https://pypi.org/project/bambi) (πŸ“₯ 15K / month Β· πŸ“¦ 9 Β· ⏱️ 25.10.2023): ``` pip install bambi ``` @@ -7235,14 +7239,14 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes conda install -c conda-forge bambi ```
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scikit-posthocs (πŸ₯‰26 Β· ⭐ 300 Β· πŸ“ˆ) - Multiple Pairwise Comparisons (Post Hoc) Tests in.. MIT +
scikit-posthocs (πŸ₯‰26 Β· ⭐ 300) - Multiple Pairwise Comparisons (Post Hoc) Tests in Python. MIT -- [GitHub](https://github.com/maximtrp/scikit-posthocs) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 37 Β· πŸ“₯ 39 Β· πŸ“¦ 530 Β· πŸ“‹ 50 - 10% open Β· ⏱️ 06.11.2023): +- [GitHub](https://github.com/maximtrp/scikit-posthocs) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 37 Β· πŸ“₯ 39 Β· πŸ“¦ 540 Β· πŸ“‹ 50 - 10% open Β· ⏱️ 06.11.2023): ``` git clone https://github.com/maximtrp/scikit-posthocs ``` -- [PyPi](https://pypi.org/project/scikit-posthocs) (πŸ“₯ 76K / month Β· πŸ“¦ 27 Β· ⏱️ 06.11.2023): +- [PyPi](https://pypi.org/project/scikit-posthocs) (πŸ“₯ 70K / month Β· πŸ“¦ 27 Β· ⏱️ 06.11.2023): ``` pip install scikit-posthocs ``` @@ -7253,12 +7257,12 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
Baal (πŸ₯‰25 Β· ⭐ 800) - Library to enable Bayesian active learning in your research or labeling.. Apache-2 -- [GitHub](https://github.com/baal-org/baal) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 79 Β· πŸ“¦ 52 Β· πŸ“‹ 110 - 22% open Β· ⏱️ 04.11.2023): +- [GitHub](https://github.com/baal-org/baal) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 80 Β· πŸ“¦ 52 Β· πŸ“‹ 110 - 22% open Β· ⏱️ 04.11.2023): ``` git clone https://github.com/baal-org/baal ``` -- [PyPi](https://pypi.org/project/baal) (πŸ“₯ 1.5K / month Β· πŸ“¦ 1 Β· ⏱️ 02.10.2023): +- [PyPi](https://pypi.org/project/baal) (πŸ“₯ 1.8K / month Β· πŸ“¦ 1 Β· ⏱️ 02.10.2023): ``` pip install baal ``` @@ -7267,14 +7271,14 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes conda install -c conda-forge baal ```
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Orbit (πŸ₯‰23 Β· ⭐ 1.7K) - A Python package for Bayesian forecasting with object-oriented design.. Apache-2 +
Orbit (πŸ₯‰23 Β· ⭐ 1.8K) - A Python package for Bayesian forecasting with object-oriented design.. Apache-2 -- [GitHub](https://github.com/uber/orbit) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 130 Β· πŸ“¦ 40 Β· πŸ“‹ 390 - 16% open Β· ⏱️ 26.09.2023): +- [GitHub](https://github.com/uber/orbit) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 130 Β· πŸ“¦ 41 Β· πŸ“‹ 390 - 16% open Β· ⏱️ 26.09.2023): ``` git clone https://github.com/uber/orbit ``` -- [PyPi](https://pypi.org/project/orbit-ml) (πŸ“₯ 83K / month Β· πŸ“¦ 1 Β· ⏱️ 29.01.2023): +- [PyPi](https://pypi.org/project/orbit-ml) (πŸ“₯ 64K / month Β· πŸ“¦ 1 Β· ⏱️ 29.01.2023): ``` pip install orbit-ml ``` @@ -7282,11 +7286,11 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
Show 9 hidden projects... - filterpy (πŸ₯ˆ32 Β· ⭐ 2.9K Β· πŸ’€) - Python Kalman filtering and optimal estimation library. Implements.. MIT -- pandas-ta (πŸ₯ˆ30 Β· ⭐ 4.1K Β· πŸ’€) - Technical Analysis Indicators - Pandas TA is an easy to use.. MIT +- pandas-ta (πŸ₯ˆ30 Β· ⭐ 4.2K Β· πŸ’€) - Technical Analysis Indicators - Pandas TA is an easy to use.. MIT +- pingouin (πŸ₯ˆ30 Β· ⭐ 1.4K) - Statistical package in Python based on Pandas. ❗️GPL-3.0 - patsy (πŸ₯ˆ30 Β· ⭐ 900 Β· πŸ’€) - Describing statistical models in Python using symbolic formulas. BSD-2 -- pingouin (πŸ₯‰29 Β· ⭐ 1.4K) - Statistical package in Python based on Pandas. ❗️GPL-3.0 - Edward (πŸ₯‰28 Β· ⭐ 4.8K Β· πŸ’€) - A probabilistic programming language in TensorFlow. Deep.. Apache-2 -- PyStan (πŸ₯‰25 Β· ⭐ 280) - PyStan, a Python interface to Stan, a platform for statistical modeling... ISC +- PyStan (πŸ₯‰25 Β· ⭐ 290) - PyStan, a Python interface to Stan, a platform for statistical modeling... ISC - pyhsmm (πŸ₯‰20 Β· ⭐ 540 Β· πŸ’€) - Bayesian inference in HSMMs and HMMs. MIT - Funsor (πŸ₯‰20 Β· ⭐ 220) - Functional tensors for probabilistic programming. Apache-2 - ZhuSuan (πŸ₯‰15 Β· ⭐ 2.2K Β· πŸ’€) - A probabilistic programming library for Bayesian deep learning,.. MIT @@ -7301,7 +7305,7 @@ _Libraries for testing the robustness of machine learning models against attacks
ART (πŸ₯‡34 Β· ⭐ 4.1K) - Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning.. MIT -- [GitHub](https://github.com/Trusted-AI/adversarial-robustness-toolbox) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 1.1K Β· πŸ“¦ 440 Β· πŸ“‹ 860 - 14% open Β· ⏱️ 02.11.2023): +- [GitHub](https://github.com/Trusted-AI/adversarial-robustness-toolbox) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 1.1K Β· πŸ“¦ 450 Β· πŸ“‹ 860 - 13% open Β· ⏱️ 02.11.2023): ``` git clone https://github.com/Trusted-AI/adversarial-robustness-toolbox @@ -7315,25 +7319,25 @@ _Libraries for testing the robustness of machine learning models against attacks conda install -c conda-forge adversarial-robustness-toolbox ```
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TextAttack (πŸ₯ˆ30 Β· ⭐ 2.5K) - TextAttack is a Python framework for adversarial attacks, data.. MIT +
TextAttack (πŸ₯ˆ31 Β· ⭐ 2.6K) - TextAttack is a Python framework for adversarial attacks, data.. MIT -- [GitHub](https://github.com/QData/TextAttack) (πŸ‘¨β€πŸ’» 60 Β· πŸ”€ 340 Β· πŸ“¦ 210 Β· πŸ“‹ 260 - 16% open Β· ⏱️ 05.11.2023): +- [GitHub](https://github.com/QData/TextAttack) (πŸ‘¨β€πŸ’» 61 Β· πŸ”€ 340 Β· πŸ“¦ 210 Β· πŸ“‹ 260 - 16% open Β· ⏱️ 11.11.2023): ``` git clone https://github.com/QData/TextAttack ``` -- [PyPi](https://pypi.org/project/textattack) (πŸ“₯ 4.2K / month Β· πŸ“¦ 5 Β· ⏱️ 11.09.2023): +- [PyPi](https://pypi.org/project/textattack) (πŸ“₯ 3.9K / month Β· πŸ“¦ 5 Β· ⏱️ 11.09.2023): ``` pip install textattack ``` -- [Conda](https://anaconda.org/conda-forge/textattack) (πŸ“₯ 6.8K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/textattack) (πŸ“₯ 6.9K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge textattack ```
CleverHans (πŸ₯ˆ29 Β· ⭐ 6K Β· πŸ’€) - An adversarial example library for constructing attacks,.. MIT -- [GitHub](https://github.com/cleverhans-lab/cleverhans) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 1.4K Β· πŸ“¦ 530 Β· πŸ“‹ 460 - 8% open Β· ⏱️ 31.01.2023): +- [GitHub](https://github.com/cleverhans-lab/cleverhans) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 1.4K Β· πŸ“¦ 540 Β· πŸ“‹ 460 - 8% open Β· ⏱️ 31.01.2023): ``` git clone https://github.com/cleverhans-lab/cleverhans @@ -7354,7 +7358,7 @@ _Libraries for testing the robustness of machine learning models against attacks ``` git clone https://github.com/bethgelab/foolbox ``` -- [PyPi](https://pypi.org/project/foolbox) (πŸ“₯ 2.1K / month Β· πŸ“¦ 14 Β· ⏱️ 02.04.2022): +- [PyPi](https://pypi.org/project/foolbox) (πŸ“₯ 2.2K / month Β· πŸ“¦ 14 Β· ⏱️ 02.04.2022): ``` pip install foolbox ``` @@ -7381,35 +7385,35 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
optimum (πŸ₯‡34 Β· ⭐ 1.7K) - Accelerate training and inference of Transformers and Diffusers with.. Apache-2 -- [GitHub](https://github.com/huggingface/optimum) (πŸ‘¨β€πŸ’» 85 Β· πŸ”€ 290 Β· πŸ“¦ 820 Β· πŸ“‹ 570 - 44% open Β· ⏱️ 07.11.2023): +- [GitHub](https://github.com/huggingface/optimum) (πŸ‘¨β€πŸ’» 86 Β· πŸ”€ 290 Β· πŸ“¦ 880 Β· πŸ“‹ 580 - 44% open Β· ⏱️ 15.11.2023): ``` git clone https://github.com/huggingface/optimum ``` -- [PyPi](https://pypi.org/project/optimum) (πŸ“₯ 460K / month Β· πŸ“¦ 42 Β· ⏱️ 06.11.2023): +- [PyPi](https://pypi.org/project/optimum) (πŸ“₯ 500K / month Β· πŸ“¦ 44 Β· ⏱️ 14.11.2023): ``` pip install optimum ``` -- [Conda](https://anaconda.org/conda-forge/optimum) (πŸ“₯ 9.7K Β· ⏱️ 06.11.2023): +- [Conda](https://anaconda.org/conda-forge/optimum) (πŸ“₯ 9.8K Β· ⏱️ 15.11.2023): ``` conda install -c conda-forge optimum ```
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cuDF (πŸ₯‡33 Β· ⭐ 6.1K) - cuDF - GPU DataFrame Library. Apache-2 +
cuDF (πŸ₯‡33 Β· ⭐ 6.5K) - cuDF - GPU DataFrame Library. Apache-2 -- [GitHub](https://github.com/rapidsai/cudf) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 730 Β· πŸ“¦ 49 Β· πŸ“‹ 5.8K - 15% open Β· ⏱️ 09.11.2023): +- [GitHub](https://github.com/rapidsai/cudf) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 750 Β· πŸ“¦ 49 Β· πŸ“‹ 5.8K - 15% open Β· ⏱️ 16.11.2023): ``` git clone https://github.com/rapidsai/cudf ``` -- [PyPi](https://pypi.org/project/cudf) (πŸ“₯ 2.1K / month Β· πŸ“¦ 8 Β· ⏱️ 01.06.2020): +- [PyPi](https://pypi.org/project/cudf) (πŸ“₯ 3.5K / month Β· πŸ“¦ 9 Β· ⏱️ 01.06.2020): ``` pip install cudf ```
gpustat (πŸ₯ˆ31 Β· ⭐ 3.6K) - A simple command-line utility for querying and monitoring GPU status. MIT -- [GitHub](https://github.com/wookayin/gpustat) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 260 Β· πŸ“¦ 4.2K Β· πŸ“‹ 120 - 23% open Β· ⏱️ 01.11.2023): +- [GitHub](https://github.com/wookayin/gpustat) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 260 Β· πŸ“¦ 4.3K Β· πŸ“‹ 120 - 23% open Β· ⏱️ 01.11.2023): ``` git clone https://github.com/wookayin/gpustat @@ -7425,7 +7429,7 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
Apex (πŸ₯ˆ30 Β· ⭐ 7.7K) - A PyTorch Extension: Tools for easy mixed precision and distributed.. BSD-3 -- [GitHub](https://github.com/NVIDIA/apex) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 1.3K Β· πŸ“¦ 2.1K Β· πŸ“‹ 1.2K - 56% open Β· ⏱️ 08.11.2023): +- [GitHub](https://github.com/NVIDIA/apex) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 1.3K Β· πŸ“¦ 2.1K Β· πŸ“‹ 1.2K - 56% open Β· ⏱️ 16.11.2023): ``` git clone https://github.com/NVIDIA/apex @@ -7435,54 +7439,54 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c conda install -c conda-forge nvidia-apex ```
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cuML (πŸ₯ˆ30 Β· ⭐ 3.6K) - cuML - RAPIDS Machine Learning Library. Apache-2 +
cuML (πŸ₯ˆ30 Β· ⭐ 3.7K) - cuML - RAPIDS Machine Learning Library. Apache-2 -- [GitHub](https://github.com/rapidsai/cuml) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 480 Β· πŸ“‹ 2.3K - 34% open Β· ⏱️ 08.11.2023): +- [GitHub](https://github.com/rapidsai/cuml) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 480 Β· πŸ“‹ 2.3K - 34% open Β· ⏱️ 14.11.2023): ``` git clone https://github.com/rapidsai/cuml ``` -- [PyPi](https://pypi.org/project/cuml) (πŸ“₯ 2.1K / month Β· πŸ“¦ 5 Β· ⏱️ 01.06.2020): +- [PyPi](https://pypi.org/project/cuml) (πŸ“₯ 2.2K / month Β· πŸ“¦ 5 Β· ⏱️ 01.06.2020): ``` pip install cuml ```
PyCUDA (πŸ₯ˆ30 Β· ⭐ 1.6K) - CUDA integration for Python, plus shiny features. MIT -- [GitHub](https://github.com/inducer/pycuda) (πŸ‘¨β€πŸ’» 80 Β· πŸ”€ 270 Β· πŸ“¦ 2.5K Β· πŸ“‹ 260 - 30% open Β· ⏱️ 28.08.2023): +- [GitHub](https://github.com/inducer/pycuda) (πŸ‘¨β€πŸ’» 80 Β· πŸ”€ 280 Β· πŸ“¦ 2.5K Β· πŸ“‹ 260 - 30% open Β· ⏱️ 10.11.2023): ``` git clone https://github.com/inducer/pycuda ``` -- [PyPi](https://pypi.org/project/pycuda) (πŸ“₯ 36K / month Β· πŸ“¦ 220 Β· ⏱️ 21.12.2022): +- [PyPi](https://pypi.org/project/pycuda) (πŸ“₯ 36K / month Β· πŸ“¦ 220 Β· ⏱️ 10.11.2023): ``` pip install pycuda ``` -- [Conda](https://anaconda.org/conda-forge/pycuda) (πŸ“₯ 260K Β· ⏱️ 01.10.2023): +- [Conda](https://anaconda.org/conda-forge/pycuda) (πŸ“₯ 260K Β· ⏱️ 11.11.2023): ``` conda install -c conda-forge pycuda ```
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ArrayFire (πŸ₯ˆ28 Β· ⭐ 4.3K) - ArrayFire: a general purpose GPU library. BSD-3 +
ArrayFire (πŸ₯ˆ27 Β· ⭐ 4.3K) - ArrayFire: a general purpose GPU library. BSD-3 - [GitHub](https://github.com/arrayfire/arrayfire) (πŸ‘¨β€πŸ’» 88 Β· πŸ”€ 510 Β· πŸ“₯ 4.7K Β· πŸ“‹ 1.6K - 18% open Β· ⏱️ 05.10.2023): ``` git clone https://github.com/arrayfire/arrayfire ``` -- [PyPi](https://pypi.org/project/arrayfire) (πŸ“₯ 910 / month Β· πŸ“¦ 7 Β· ⏱️ 22.02.2022): +- [PyPi](https://pypi.org/project/arrayfire) (πŸ“₯ 970 / month Β· πŸ“¦ 7 Β· ⏱️ 22.02.2022): ``` pip install arrayfire ```
cuGraph (πŸ₯ˆ27 Β· ⭐ 1.4K) - cuGraph - RAPIDS Graph Analytics Library. Apache-2 -- [GitHub](https://github.com/rapidsai/cugraph) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 250 Β· πŸ“¦ 2 Β· πŸ“‹ 1.6K - 18% open Β· ⏱️ 08.11.2023): +- [GitHub](https://github.com/rapidsai/cugraph) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 260 Β· πŸ“¦ 2 Β· πŸ“‹ 1.6K - 18% open Β· ⏱️ 15.11.2023): ``` git clone https://github.com/rapidsai/cugraph ``` -- [PyPi](https://pypi.org/project/cugraph) (πŸ“₯ 200 / month Β· πŸ“¦ 2 Β· ⏱️ 01.06.2020): +- [PyPi](https://pypi.org/project/cugraph) (πŸ“₯ 220 / month Β· πŸ“¦ 2 Β· ⏱️ 01.06.2020): ``` pip install cugraph ``` @@ -7498,7 +7502,7 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c ``` git clone https://github.com/cupy/cupy ``` -- [PyPi](https://pypi.org/project/cupy) (πŸ“₯ 22K / month Β· πŸ“¦ 200 Β· ⏱️ 08.08.2023): +- [PyPi](https://pypi.org/project/cupy) (πŸ“₯ 23K / month Β· πŸ“¦ 200 Β· ⏱️ 08.08.2023): ``` pip install cupy ``` @@ -7513,7 +7517,7 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
DALI (πŸ₯‰25 Β· ⭐ 4.7K) - A GPU-accelerated library containing highly optimized building blocks.. Apache-2 -- [GitHub](https://github.com/NVIDIA/DALI) (πŸ‘¨β€πŸ’» 87 Β· πŸ”€ 590 Β· πŸ“‹ 1.5K - 18% open Β· ⏱️ 09.11.2023): +- [GitHub](https://github.com/NVIDIA/DALI) (πŸ‘¨β€πŸ’» 87 Β· πŸ”€ 590 Β· πŸ“‹ 1.5K - 18% open Β· ⏱️ 16.11.2023): ``` git clone https://github.com/NVIDIA/DALI @@ -7526,31 +7530,31 @@ _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) (πŸ“₯ 620 / month Β· πŸ“¦ 49 Β· ⏱️ 27.05.2019): +- [PyPi](https://pypi.org/project/scikit-cuda) (πŸ“₯ 630 / month Β· πŸ“¦ 49 Β· ⏱️ 27.05.2019): ``` pip install scikit-cuda ```
Vulkan Kompute (πŸ₯‰22 Β· ⭐ 1.3K) - General purpose GPU compute framework built on Vulkan to.. Apache-2 -- [GitHub](https://github.com/KomputeProject/kompute) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 94 Β· πŸ“₯ 480 Β· πŸ“¦ 7 Β· πŸ“‹ 190 - 32% open Β· ⏱️ 02.11.2023): +- [GitHub](https://github.com/KomputeProject/kompute) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 95 Β· πŸ“₯ 480 Β· πŸ“¦ 8 Β· πŸ“‹ 190 - 32% open Β· ⏱️ 02.11.2023): ``` git clone https://github.com/KomputeProject/kompute ``` -- [PyPi](https://pypi.org/project/kp) (πŸ“₯ 120 / month Β· ⏱️ 13.04.2022): +- [PyPi](https://pypi.org/project/kp) (πŸ“₯ 130 / month Β· ⏱️ 13.04.2022): ``` pip install kp ```
Merlin (πŸ₯‰22 Β· ⭐ 620) - NVIDIA Merlin is an open source library providing end-to-end GPU-.. Apache-2 -- [GitHub](https://github.com/NVIDIA-Merlin/Merlin) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 92 Β· πŸ“‹ 440 - 44% open Β· ⏱️ 10.10.2023): +- [GitHub](https://github.com/NVIDIA-Merlin/Merlin) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 93 Β· πŸ“‹ 440 - 44% open Β· ⏱️ 10.10.2023): ``` git clone https://github.com/NVIDIA-Merlin/Merlin ``` -- [PyPi](https://pypi.org/project/merlin-core) (πŸ“₯ 5.3K / month Β· πŸ“¦ 1 Β· ⏱️ 29.08.2023): +- [PyPi](https://pypi.org/project/merlin-core) (πŸ“₯ 5.4K / month Β· πŸ“¦ 1 Β· ⏱️ 29.08.2023): ``` pip install merlin-core ``` @@ -7565,7 +7569,7 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
Show 6 hidden projects... -- GPUtil (πŸ₯‰25 Β· ⭐ 1K Β· πŸ’€) - A Python module for getting the GPU status from NVIDA GPUs using nvidia-.. MIT +- GPUtil (πŸ₯‰24 Β· ⭐ 1K Β· πŸ’€) - A Python module for getting the GPU status from NVIDA GPUs using nvidia-.. MIT - py3nvml (πŸ₯‰23 Β· ⭐ 230 Β· πŸ’€) - Python 3 Bindings for NVML library. Get NVIDIA GPU status inside.. BSD-3 - BlazingSQL (πŸ₯‰20 Β· ⭐ 1.9K Β· πŸ’€) - BlazingSQL is a lightweight, GPU accelerated, SQL engine for.. Apache-2 - nvidia-ml-py3 (πŸ₯‰18 Β· ⭐ 120 Β· πŸ’€) - Python 3 Bindings for the NVIDIA Management Library. BSD-3 @@ -7582,7 +7586,7 @@ _Libraries that extend TensorFlow with additional capabilities._
TensorFlow Datasets (πŸ₯‡38 Β· ⭐ 4K) - TFDS is a collection of datasets ready to use with.. Apache-2 -- [GitHub](https://github.com/tensorflow/datasets) (πŸ‘¨β€πŸ’» 300 Β· πŸ”€ 1.5K Β· πŸ“¦ 15K Β· πŸ“‹ 1.3K - 47% open Β· ⏱️ 09.11.2023): +- [GitHub](https://github.com/tensorflow/datasets) (πŸ‘¨β€πŸ’» 300 Β· πŸ”€ 1.5K Β· πŸ“¦ 15K Β· πŸ“‹ 1.3K - 47% open Β· ⏱️ 15.11.2023): ``` git clone https://github.com/tensorflow/datasets @@ -7610,7 +7614,7 @@ _Libraries that extend TensorFlow with additional capabilities._
tensorflow-hub (πŸ₯ˆ33 Β· ⭐ 3.4K) - A library for transfer learning by reusing parts of.. Apache-2 -- [GitHub](https://github.com/tensorflow/hub) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 1.7K Β· πŸ“‹ 680 - 0% open Β· ⏱️ 19.10.2023): +- [GitHub](https://github.com/tensorflow/hub) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 1.7K Β· πŸ“‹ 680 - 0% open Β· ⏱️ 15.11.2023): ``` git clone https://github.com/tensorflow/hub @@ -7638,24 +7642,24 @@ _Libraries that extend TensorFlow with additional capabilities._
TFX (πŸ₯ˆ32 Β· ⭐ 2K) - TFX is an end-to-end platform for deploying production ML pipelines. Apache-2 -- [GitHub](https://github.com/tensorflow/tfx) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 670 Β· πŸ“‹ 940 - 9% open Β· ⏱️ 08.11.2023): +- [GitHub](https://github.com/tensorflow/tfx) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 670 Β· πŸ“‹ 940 - 9% open Β· ⏱️ 15.11.2023): ``` git clone https://github.com/tensorflow/tfx ``` -- [PyPi](https://pypi.org/project/tfx) (πŸ“₯ 63K / month Β· πŸ“¦ 14 Β· ⏱️ 06.09.2023): +- [PyPi](https://pypi.org/project/tfx) (πŸ“₯ 80K / month Β· πŸ“¦ 14 Β· ⏱️ 06.09.2023): ``` pip install tfx ```
TF Model Optimization (πŸ₯ˆ31 Β· ⭐ 1.4K) - A toolkit to optimize ML models for deployment for.. Apache-2 -- [GitHub](https://github.com/tensorflow/model-optimization) (πŸ‘¨β€πŸ’» 82 Β· πŸ”€ 320 Β· πŸ“¦ 3.3K Β· πŸ“‹ 370 - 55% open Β· ⏱️ 14.09.2023): +- [GitHub](https://github.com/tensorflow/model-optimization) (πŸ‘¨β€πŸ’» 83 Β· πŸ”€ 320 Β· πŸ“¦ 3.3K Β· πŸ“‹ 370 - 55% open Β· ⏱️ 10.11.2023): ``` git clone https://github.com/tensorflow/model-optimization ``` -- [PyPi](https://pypi.org/project/tensorflow-model-optimization) (πŸ“₯ 440K / month Β· πŸ“¦ 30 Β· ⏱️ 26.05.2023): +- [PyPi](https://pypi.org/project/tensorflow-model-optimization) (πŸ“₯ 470K / month Β· πŸ“¦ 30 Β· ⏱️ 26.05.2023): ``` pip install tensorflow-model-optimization ``` @@ -7667,7 +7671,7 @@ _Libraries that extend TensorFlow with additional capabilities._ ``` git clone https://github.com/tensorflow/transform ``` -- [PyPi](https://pypi.org/project/tensorflow-transform) (πŸ“₯ 780K / month Β· πŸ“¦ 56 Β· ⏱️ 11.08.2023): +- [PyPi](https://pypi.org/project/tensorflow-transform) (πŸ“₯ 760K / month Β· πŸ“¦ 56 Β· ⏱️ 11.08.2023): ``` pip install tensorflow-transform ``` @@ -7698,24 +7702,24 @@ _Libraries that extend TensorFlow with additional capabilities._
TensorFlow Cloud (πŸ₯‰24 Β· ⭐ 360) - The TensorFlow Cloud repository provides APIs that.. Apache-2 -- [GitHub](https://github.com/tensorflow/cloud) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 84 Β· πŸ“¦ 300 Β· πŸ“‹ 100 - 73% open Β· ⏱️ 20.10.2023): +- [GitHub](https://github.com/tensorflow/cloud) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 84 Β· πŸ“¦ 310 Β· πŸ“‹ 100 - 73% open Β· ⏱️ 20.10.2023): ``` git clone https://github.com/tensorflow/cloud ``` -- [PyPi](https://pypi.org/project/tensorflow-cloud) (πŸ“₯ 52K / month Β· πŸ“¦ 7 Β· ⏱️ 17.06.2021): +- [PyPi](https://pypi.org/project/tensorflow-cloud) (πŸ“₯ 47K / month Β· πŸ“¦ 7 Β· ⏱️ 17.06.2021): ``` pip install tensorflow-cloud ```
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TF Compression (πŸ₯‰23 Β· ⭐ 780) - Data compression in TensorFlow. Apache-2 +
TF Compression (πŸ₯‰23 Β· ⭐ 790) - Data compression in TensorFlow. Apache-2 - [GitHub](https://github.com/tensorflow/compression) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 240 Β· πŸ“‹ 98 - 7% open Β· ⏱️ 12.10.2023): ``` git clone https://github.com/tensorflow/compression ``` -- [PyPi](https://pypi.org/project/tensorflow-compression) (πŸ“₯ 11K / month Β· πŸ“¦ 2 Β· ⏱️ 12.10.2023): +- [PyPi](https://pypi.org/project/tensorflow-compression) (πŸ“₯ 10K / month Β· πŸ“¦ 2 Β· ⏱️ 12.10.2023): ``` pip install tensorflow-compression ``` @@ -7726,7 +7730,7 @@ _Libraries that extend TensorFlow with additional capabilities._ - efficientnet (πŸ₯‰25 Β· ⭐ 2K Β· πŸ’€) - Implementation of EfficientNet model. Keras and.. Apache-2 - TensorNets (πŸ₯‰21 Β· ⭐ 1K Β· πŸ’€) - High level network definitions with pre-trained weights in.. MIT - Saliency (πŸ₯‰21 Β· ⭐ 910 Β· πŸ’€) - Framework-agnostic implementation for state-of-the-art.. Apache-2 -- tffm (πŸ₯‰18 Β· ⭐ 780 Β· πŸ’€) - TensorFlow implementation of an arbitrary order Factorization Machine. MIT +- tffm (πŸ₯‰18 Β· ⭐ 790 Β· πŸ’€) - TensorFlow implementation of an arbitrary order Factorization Machine. MIT

@@ -7738,12 +7742,12 @@ _Libraries that extend Jax with additional capabilities._
equinox (πŸ₯‡30 Β· ⭐ 1.5K) - Elegant easy-to-use neural networks + scientific computing in.. Apache-2 -- [GitHub](https://github.com/patrick-kidger/equinox) (πŸ‘¨β€πŸ’» 42 Β· πŸ”€ 97 Β· πŸ“¦ 290 Β· πŸ“‹ 260 - 26% open Β· ⏱️ 31.10.2023): +- [GitHub](https://github.com/patrick-kidger/equinox) (πŸ‘¨β€πŸ’» 42 Β· πŸ”€ 99 Β· πŸ“¦ 300 Β· πŸ“‹ 270 - 28% open Β· ⏱️ 15.11.2023): ``` git clone https://github.com/patrick-kidger/equinox ``` -- [PyPi](https://pypi.org/project/equinox) (πŸ“₯ 25K / month Β· πŸ“¦ 39 Β· ⏱️ 13.10.2023): +- [PyPi](https://pypi.org/project/equinox) (πŸ“₯ 29K / month Β· πŸ“¦ 41 Β· ⏱️ 13.11.2023): ``` pip install equinox ``` @@ -7755,7 +7759,7 @@ _Libraries that extend Jax with additional capabilities._ ``` git clone https://github.com/google/evojax ``` -- [PyPi](https://pypi.org/project/evojax) (πŸ“₯ 360 / month Β· πŸ“¦ 2 Β· ⏱️ 29.08.2023): +- [PyPi](https://pypi.org/project/evojax) (πŸ“₯ 590 / month Β· πŸ“¦ 2 Β· ⏱️ 29.08.2023): ``` pip install evojax ``` @@ -7776,14 +7780,14 @@ _Libraries that extend Jax with additional capabilities._ _Libraries that extend scikit-learn with additional capabilities._ -
imbalanced-learn (πŸ₯‡36 Β· ⭐ 6.5K) - A Python Package to Tackle the Curse of Imbalanced.. MIT +
imbalanced-learn (πŸ₯‡36 Β· ⭐ 6.6K) - A Python Package to Tackle the Curse of Imbalanced.. MIT -- [GitHub](https://github.com/scikit-learn-contrib/imbalanced-learn) (πŸ‘¨β€πŸ’» 80 Β· πŸ”€ 1.2K Β· πŸ“¦ 21K Β· πŸ“‹ 570 - 6% open Β· ⏱️ 23.10.2023): +- [GitHub](https://github.com/scikit-learn-contrib/imbalanced-learn) (πŸ‘¨β€πŸ’» 80 Β· πŸ”€ 1.2K Β· πŸ“¦ 22K Β· πŸ“‹ 570 - 6% open Β· ⏱️ 23.10.2023): ``` git clone https://github.com/scikit-learn-contrib/imbalanced-learn ``` -- [PyPi](https://pypi.org/project/imbalanced-learn) (πŸ“₯ 6M / month Β· πŸ“¦ 330 Β· ⏱️ 08.07.2023): +- [PyPi](https://pypi.org/project/imbalanced-learn) (πŸ“₯ 6.3M / month Β· πŸ“¦ 340 Β· ⏱️ 08.07.2023): ``` pip install imbalanced-learn ``` @@ -7799,7 +7803,7 @@ _Libraries that extend scikit-learn with additional capabilities._ ``` git clone https://github.com/rasbt/mlxtend ``` -- [PyPi](https://pypi.org/project/mlxtend) (πŸ“₯ 790K / month Β· πŸ“¦ 190 Β· ⏱️ 25.09.2023): +- [PyPi](https://pypi.org/project/mlxtend) (πŸ“₯ 780K / month Β· πŸ“¦ 190 Β· ⏱️ 25.09.2023): ``` pip install mlxtend ``` @@ -7810,12 +7814,12 @@ _Libraries that extend scikit-learn with additional capabilities._
scikit-learn-intelex (πŸ₯‡34 Β· ⭐ 1.1K) - Intel(R) Extension for Scikit-learn is a seamless way.. Apache-2 -- [GitHub](https://github.com/intel/scikit-learn-intelex) (πŸ‘¨β€πŸ’» 77 Β· πŸ”€ 160 Β· πŸ“¦ 8.4K Β· πŸ“‹ 220 - 23% open Β· ⏱️ 08.11.2023): +- [GitHub](https://github.com/intel/scikit-learn-intelex) (πŸ‘¨β€πŸ’» 77 Β· πŸ”€ 170 Β· πŸ“¦ 8.5K Β· πŸ“‹ 220 - 24% open Β· ⏱️ 15.11.2023): ``` git clone https://github.com/intel/scikit-learn-intelex ``` -- [PyPi](https://pypi.org/project/scikit-learn-intelex) (πŸ“₯ 180K / month Β· πŸ“¦ 17 Β· ⏱️ 21.07.2023): +- [PyPi](https://pypi.org/project/scikit-learn-intelex) (πŸ“₯ 180K / month Β· πŸ“¦ 23 Β· ⏱️ 14.11.2023): ``` pip install scikit-learn-intelex ``` @@ -7826,7 +7830,7 @@ _Libraries that extend scikit-learn with additional capabilities._
category_encoders (πŸ₯ˆ33 Β· ⭐ 2.3K) - A library of sklearn compatible categorical variable.. BSD-3 -- [GitHub](https://github.com/scikit-learn-contrib/category_encoders) (πŸ‘¨β€πŸ’» 65 Β· πŸ”€ 390 Β· πŸ“¦ 1.2K Β· πŸ“‹ 280 - 15% open Β· ⏱️ 29.10.2023): +- [GitHub](https://github.com/scikit-learn-contrib/category_encoders) (πŸ‘¨β€πŸ’» 67 Β· πŸ”€ 390 Β· πŸ“¦ 1.2K Β· πŸ“‹ 280 - 15% open Β· ⏱️ 11.11.2023): ``` git clone https://github.com/scikit-learn-contrib/category_encoders @@ -7842,33 +7846,33 @@ _Libraries that extend scikit-learn with additional capabilities._
scikit-lego (πŸ₯ˆ27 Β· ⭐ 1.1K) - Extra blocks for scikit-learn pipelines. MIT -- [GitHub](https://github.com/koaning/scikit-lego) (πŸ‘¨β€πŸ’» 61 Β· πŸ”€ 100 Β· πŸ“¦ 120 Β· πŸ“‹ 280 - 10% open Β· ⏱️ 08.11.2023): +- [GitHub](https://github.com/koaning/scikit-lego) (πŸ‘¨β€πŸ’» 62 Β· πŸ”€ 110 Β· πŸ“¦ 120 Β· πŸ“‹ 280 - 10% open Β· ⏱️ 15.11.2023): ``` git clone https://github.com/koaning/scikit-lego ``` -- [PyPi](https://pypi.org/project/scikit-lego) (πŸ“₯ 31K / month): +- [PyPi](https://pypi.org/project/scikit-lego) (πŸ“₯ 29K / month Β· πŸ“¦ 8 Β· ⏱️ 17.10.2023): ``` pip install scikit-lego ``` -- [Conda](https://anaconda.org/conda-forge/scikit-lego) (πŸ“₯ 44K Β· ⏱️ 19.07.2023): +- [Conda](https://anaconda.org/conda-forge/scikit-lego) (πŸ“₯ 45K Β· ⏱️ 19.07.2023): ``` conda install -c conda-forge scikit-lego ```
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scikit-multilearn (πŸ₯ˆ27 Β· ⭐ 880 Β· πŸ’€) - A scikit-learn based module for multi-label et. al... BSD-2 +
scikit-multilearn (πŸ₯‰26 Β· ⭐ 880 Β· πŸ’€) - A scikit-learn based module for multi-label et. al... BSD-2 - [GitHub](https://github.com/scikit-multilearn/scikit-multilearn) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 170 Β· πŸ“¦ 1.3K Β· πŸ“‹ 210 - 41% open Β· ⏱️ 19.04.2023): ``` git clone https://github.com/scikit-multilearn/scikit-multilearn ``` -- [PyPi](https://pypi.org/project/scikit-multilearn) (πŸ“₯ 63K / month Β· πŸ“¦ 24 Β· ⏱️ 10.12.2018): +- [PyPi](https://pypi.org/project/scikit-multilearn) (πŸ“₯ 57K / month Β· πŸ“¦ 24 Β· ⏱️ 10.12.2018): ``` pip install scikit-multilearn ```
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scikit-opt (πŸ₯‰24 Β· ⭐ 4.5K Β· πŸ’€) - Genetic Algorithm, Particle Swarm Optimization, Simulated.. MIT +
scikit-opt (πŸ₯‰24 Β· ⭐ 4.6K Β· πŸ’€) - Genetic Algorithm, Particle Swarm Optimization, Simulated.. MIT - [GitHub](https://github.com/guofei9987/scikit-opt) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 910 Β· πŸ“¦ 160 Β· πŸ“‹ 170 - 36% open Β· ⏱️ 19.02.2023): @@ -7882,19 +7886,19 @@ _Libraries that extend scikit-learn with additional capabilities._
combo (πŸ₯‰22 Β· ⭐ 630 Β· πŸ’€) - (AAAI 20) A Python Toolbox for Machine Learning Model.. BSD-2 xgboost -- [GitHub](https://github.com/yzhao062/combo) (πŸ‘¨β€πŸ’» 2 Β· πŸ”€ 100 Β· πŸ“¦ 580 Β· πŸ“‹ 16 - 81% open Β· ⏱️ 14.01.2023): +- [GitHub](https://github.com/yzhao062/combo) (πŸ‘¨β€πŸ’» 2 Β· πŸ”€ 100 Β· πŸ“¦ 590 Β· πŸ“‹ 16 - 81% open Β· ⏱️ 14.01.2023): ``` git clone https://github.com/yzhao062/combo ``` -- [PyPi](https://pypi.org/project/combo) (πŸ“₯ 83K / month Β· πŸ“¦ 5 Β· ⏱️ 02.04.2022): +- [PyPi](https://pypi.org/project/combo) (πŸ“₯ 76K / month Β· πŸ“¦ 5 Β· ⏱️ 02.04.2022): ``` pip install combo ```
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DESlib (πŸ₯‰19 Β· ⭐ 450) - A Python library for dynamic classifier and ensemble selection. BSD-3 +
DESlib (πŸ₯‰16 Β· ⭐ 450 Β· πŸ“‰) - A Python library for dynamic classifier and ensemble selection. BSD-3 -- [GitHub](https://github.com/scikit-learn-contrib/DESlib) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 75 Β· πŸ“¦ 45 Β· πŸ“‹ 150 - 9% open Β· ⏱️ 18.06.2023): +- [GitHub](https://github.com/scikit-learn-contrib/DESlib) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 75 Β· πŸ“‹ 150 - 9% open Β· ⏱️ 18.06.2023): ``` git clone https://github.com/scikit-learn-contrib/DESlib @@ -7906,9 +7910,9 @@ _Libraries that extend scikit-learn with additional capabilities._
Show 10 hidden projects... -- scikit-survival (πŸ₯ˆ28 Β· ⭐ 1K) - Survival analysis built on top of scikit-learn. ❗️GPL-3.0 -- sklearn-crfsuite (πŸ₯ˆ28 Β· ⭐ 420 Β· πŸ’€) - scikit-learn inspired API for CRFsuite. MIT - fancyimpute (πŸ₯ˆ27 Β· ⭐ 1.2K Β· πŸ’€) - Multivariate imputation and matrix completion.. Apache-2 +- scikit-survival (πŸ₯ˆ27 Β· ⭐ 1K) - Survival analysis built on top of scikit-learn. ❗️GPL-3.0 +- sklearn-crfsuite (πŸ₯ˆ27 Β· ⭐ 420 Β· πŸ’€) - scikit-learn inspired API for CRFsuite. MIT - sklearn-contrib-lightning (πŸ₯‰22 Β· ⭐ 1.7K Β· πŸ’€) - Large-scale linear classification, regression and.. BSD-3 - iterative-stratification (πŸ₯‰22 Β· ⭐ 800 Β· πŸ’€) - scikit-learn cross validators for iterative.. BSD-3 - skope-rules (πŸ₯‰22 Β· ⭐ 560 Β· πŸ’€) - machine learning with logical rules in Python. ❗️BSD-1-Clause @@ -7927,7 +7931,7 @@ _Libraries that extend Pytorch with additional capabilities._
accelerate (πŸ₯‡39 Β· ⭐ 6K) - A simple way to train and use PyTorch models with multi-GPU,.. Apache-2 -- [GitHub](https://github.com/huggingface/accelerate) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 650 Β· πŸ“¦ 18K Β· πŸ“‹ 1.1K - 10% open Β· ⏱️ 08.11.2023): +- [GitHub](https://github.com/huggingface/accelerate) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 650 Β· πŸ“¦ 18K Β· πŸ“‹ 1.1K - 10% open Β· ⏱️ 15.11.2023): ``` git clone https://github.com/huggingface/accelerate @@ -7936,19 +7940,19 @@ _Libraries that extend Pytorch with additional capabilities._ ``` pip install accelerate ``` -- [Conda](https://anaconda.org/conda-forge/accelerate) (πŸ“₯ 85K Β· ⏱️ 30.10.2023): +- [Conda](https://anaconda.org/conda-forge/accelerate) (πŸ“₯ 87K Β· ⏱️ 30.10.2023): ``` conda install -c conda-forge accelerate ```
PML (πŸ₯‡32 Β· ⭐ 5.5K) - The easiest way to use deep metric learning in your application. Modular,.. MIT -- [GitHub](https://github.com/KevinMusgrave/pytorch-metric-learning) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 630 Β· πŸ“¦ 990 Β· πŸ“‹ 470 - 10% open Β· ⏱️ 25.07.2023): +- [GitHub](https://github.com/KevinMusgrave/pytorch-metric-learning) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 630 Β· πŸ“¦ 1K Β· πŸ“‹ 480 - 10% open Β· ⏱️ 25.07.2023): ``` git clone https://github.com/KevinMusgrave/pytorch-metric-learning ``` -- [PyPi](https://pypi.org/project/pytorch-metric-learning) (πŸ“₯ 380K / month Β· πŸ“¦ 19 Β· ⏱️ 25.07.2023): +- [PyPi](https://pypi.org/project/pytorch-metric-learning) (πŸ“₯ 360K / month Β· πŸ“¦ 19 Β· ⏱️ 25.07.2023): ``` pip install pytorch-metric-learning ``` @@ -7959,7 +7963,7 @@ _Libraries that extend Pytorch with additional capabilities._
tinygrad (πŸ₯‡31 Β· ⭐ 20K) - You like pytorch? You like micrograd? You love tinygrad!. MIT -- [GitHub](https://github.com/tinygrad/tinygrad) (πŸ‘¨β€πŸ’» 230 Β· πŸ”€ 2.1K Β· πŸ“¦ 29 Β· πŸ“‹ 400 - 17% open Β· ⏱️ 09.11.2023): +- [GitHub](https://github.com/tinygrad/tinygrad) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 2.2K Β· πŸ“¦ 29 Β· πŸ“‹ 400 - 17% open Β· ⏱️ 16.11.2023): ``` git clone https://github.com/geohot/tinygrad @@ -7983,7 +7987,7 @@ _Libraries that extend Pytorch with additional capabilities._
torchsde (πŸ₯‡30 Β· ⭐ 1.4K) - Differentiable SDE solvers with GPU support and efficient.. Apache-2 -- [GitHub](https://github.com/google-research/torchsde) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 170 Β· πŸ“¦ 1.7K Β· πŸ“‹ 70 - 27% open Β· ⏱️ 26.09.2023): +- [GitHub](https://github.com/google-research/torchsde) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 170 Β· πŸ“¦ 1.8K Β· πŸ“‹ 70 - 27% open Β· ⏱️ 26.09.2023): ``` git clone https://github.com/google-research/torchsde @@ -8004,7 +8008,7 @@ _Libraries that extend Pytorch with additional capabilities._ ``` git clone https://github.com/rtqichen/torchdiffeq ``` -- [PyPi](https://pypi.org/project/torchdiffeq) (πŸ“₯ 810K / month Β· πŸ“¦ 36 Β· ⏱️ 22.04.2022): +- [PyPi](https://pypi.org/project/torchdiffeq) (πŸ“₯ 790K / month Β· πŸ“¦ 36 Β· ⏱️ 22.04.2022): ``` pip install torchdiffeq ``` @@ -8020,11 +8024,11 @@ _Libraries that extend Pytorch with additional capabilities._ ``` git clone https://github.com/jettify/pytorch-optimizer ``` -- [PyPi](https://pypi.org/project/torch_optimizer) (πŸ“₯ 98K / month Β· πŸ“¦ 42 Β· ⏱️ 31.10.2021): +- [PyPi](https://pypi.org/project/torch_optimizer) (πŸ“₯ 110K / month Β· πŸ“¦ 42 Β· ⏱️ 31.10.2021): ``` pip install torch_optimizer ``` -- [Conda](https://anaconda.org/conda-forge/torch-optimizer) (πŸ“₯ 9.2K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/torch-optimizer) (πŸ“₯ 9.3K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge torch-optimizer ``` @@ -8036,7 +8040,7 @@ _Libraries that extend Pytorch with additional capabilities._ ``` git clone https://github.com/dreamquark-ai/tabnet ``` -- [PyPi](https://pypi.org/project/pytorch-tabnet) (πŸ“₯ 31K / month Β· πŸ“¦ 11 Β· ⏱️ 23.07.2023): +- [PyPi](https://pypi.org/project/pytorch-tabnet) (πŸ“₯ 40K / month Β· πŸ“¦ 11 Β· ⏱️ 23.07.2023): ``` pip install pytorch-tabnet ``` @@ -8047,7 +8051,7 @@ _Libraries that extend Pytorch with additional capabilities._
torch-scatter (πŸ₯ˆ26 Β· ⭐ 1.4K) - PyTorch Extension Library of Optimized Scatter Operations. MIT -- [GitHub](https://github.com/rusty1s/pytorch_scatter) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 160 Β· πŸ“‹ 340 - 6% open Β· ⏱️ 05.10.2023): +- [GitHub](https://github.com/rusty1s/pytorch_scatter) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 160 Β· πŸ“‹ 340 - 7% open Β· ⏱️ 05.10.2023): ``` git clone https://github.com/rusty1s/pytorch_scatter @@ -8056,7 +8060,7 @@ _Libraries that extend Pytorch with additional capabilities._ ``` pip install torch-scatter ``` -- [Conda](https://anaconda.org/conda-forge/pytorch_scatter) (πŸ“₯ 230K Β· ⏱️ 08.11.2023): +- [Conda](https://anaconda.org/conda-forge/pytorch_scatter) (πŸ“₯ 230K Β· ⏱️ 16.11.2023): ``` conda install -c conda-forge pytorch_scatter ``` @@ -8068,14 +8072,14 @@ _Libraries that extend Pytorch with additional capabilities._ ``` git clone https://github.com/BloodAxe/pytorch-toolbelt ``` -- [PyPi](https://pypi.org/project/pytorch_toolbelt) (πŸ“₯ 13K / month Β· πŸ“¦ 7 Β· ⏱️ 27.06.2022): +- [PyPi](https://pypi.org/project/pytorch_toolbelt) (πŸ“₯ 11K / month Β· πŸ“¦ 7 Β· ⏱️ 27.06.2022): ``` pip install pytorch_toolbelt ```
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PyTorch Sparse (πŸ₯‰24 Β· ⭐ 890) - PyTorch Extension Library of Optimized Autograd Sparse.. MIT +
PyTorch Sparse (πŸ₯ˆ25 Β· ⭐ 890) - PyTorch Extension Library of Optimized Autograd Sparse.. MIT -- [GitHub](https://github.com/rusty1s/pytorch_sparse) (πŸ‘¨β€πŸ’» 44 Β· πŸ”€ 140 Β· πŸ“‹ 250 - 10% open Β· ⏱️ 05.10.2023): +- [GitHub](https://github.com/rusty1s/pytorch_sparse) (πŸ‘¨β€πŸ’» 44 Β· πŸ”€ 140 Β· πŸ“‹ 250 - 10% open Β· ⏱️ 09.11.2023): ``` git clone https://github.com/rusty1s/pytorch_sparse @@ -8096,7 +8100,7 @@ _Libraries that extend Pytorch with additional capabilities._ ``` git clone https://github.com/lucidrains/reformer-pytorch ``` -- [PyPi](https://pypi.org/project/reformer-pytorch) (πŸ“₯ 3.2K / month Β· ⏱️ 06.11.2021): +- [PyPi](https://pypi.org/project/reformer-pytorch) (πŸ“₯ 3.8K / month Β· ⏱️ 06.11.2021): ``` pip install reformer-pytorch ``` @@ -8108,20 +8112,20 @@ _Libraries that extend Pytorch with additional capabilities._ ``` git clone https://github.com/facebookresearch/madgrad ``` -- [PyPi](https://pypi.org/project/madgrad) (πŸ“₯ 3.7K / month Β· πŸ“¦ 1 Β· ⏱️ 08.03.2022): +- [PyPi](https://pypi.org/project/madgrad) (πŸ“₯ 3.6K / month Β· πŸ“¦ 1 Β· ⏱️ 08.03.2022): ``` pip install madgrad ```
Show 19 hidden projects... -- pretrainedmodels (πŸ₯ˆ29 Β· ⭐ 8.8K Β· πŸ’€) - Pretrained ConvNets for pytorch: NASNet, ResNeXt,.. BSD-3 +- pretrainedmodels (πŸ₯ˆ29 Β· ⭐ 8.9K Β· πŸ’€) - Pretrained ConvNets for pytorch: NASNet, ResNeXt,.. BSD-3 - EfficientNet-PyTorch (πŸ₯ˆ27 Β· ⭐ 7.6K Β· πŸ’€) - A PyTorch implementation of EfficientNet and.. Apache-2 - pytorch-summary (πŸ₯ˆ27 Β· ⭐ 3.9K Β· πŸ’€) - Model summary in PyTorch similar to `model.summary()`.. MIT -- EfficientNets (πŸ₯‰24 Β· ⭐ 1.5K Β· πŸ’€) - Pretrained EfficientNet, EfficientNet-Lite, MixNet,.. Apache-2 - SRU (πŸ₯‰23 Β· ⭐ 2.1K Β· πŸ’€) - Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755). MIT - Torchmeta (πŸ₯‰23 Β· ⭐ 1.9K Β· πŸ’€) - A collection of extensions and data-loaders for few-shot.. MIT - Higher (πŸ₯‰23 Β· ⭐ 1.6K Β· πŸ’€) - higher is a pytorch library allowing users to obtain higher.. Apache-2 +- EfficientNets (πŸ₯‰23 Β· ⭐ 1.5K Β· πŸ’€) - Pretrained EfficientNet, EfficientNet-Lite, MixNet,.. Apache-2 - Antialiased CNNs (πŸ₯‰21 Β· ⭐ 1.6K Β· πŸ’€) - pip install antialiased-cnns to improve stability and.. ❗️CC BY-NC-SA 4.0 - AdaBound (πŸ₯‰20 Β· ⭐ 2.9K Β· πŸ’€) - An optimizer that trains as fast as Adam and as good as SGD. Apache-2 - pytorchviz (πŸ₯‰20 Β· ⭐ 2.8K Β· πŸ’€) - A small package to create visualizations of PyTorch execution.. MIT @@ -8151,14 +8155,14 @@ _Libraries for connecting to, operating, and querying databases._ Back to top -
scipy (πŸ₯‡47 Β· ⭐ 12K) - Ecosystem of open-source software for mathematics, science, and engineering. BSD-3 +
scipy (πŸ₯‡49 Β· ⭐ 12K Β· πŸ“ˆ) - Ecosystem of open-source software for mathematics, science, and.. BSD-3 -- [GitHub](https://github.com/scipy/scipy) (πŸ‘¨β€πŸ’» 1.6K Β· πŸ”€ 4.9K Β· πŸ“₯ 390K Β· πŸ“¦ 21 Β· πŸ“‹ 9.7K - 17% open Β· ⏱️ 09.11.2023): +- [GitHub](https://github.com/scipy/scipy) (πŸ‘¨β€πŸ’» 1.6K Β· πŸ”€ 4.9K Β· πŸ“₯ 390K Β· πŸ“¦ 860K Β· πŸ“‹ 9.7K - 17% open Β· ⏱️ 16.11.2023): ``` git clone https://github.com/scipy/scipy ``` -- [PyPi](https://pypi.org/project/scipy) (πŸ“₯ 66M / month Β· πŸ“¦ 65K Β· ⏱️ 27.09.2023): +- [PyPi](https://pypi.org/project/scipy) (πŸ“₯ 65M / month Β· πŸ“¦ 65K Β· ⏱️ 27.09.2023): ``` pip install scipy ``` @@ -8169,7 +8173,7 @@ _Libraries for connecting to, operating, and querying databases._
SymPy (πŸ₯‡47 Β· ⭐ 12K) - A computer algebra system written in pure Python. BSD-3 -- [GitHub](https://github.com/sympy/sympy) (πŸ‘¨β€πŸ’» 1.3K Β· πŸ”€ 4K Β· πŸ“₯ 520K Β· πŸ“¦ 91K Β· πŸ“‹ 13K - 36% open Β· ⏱️ 09.11.2023): +- [GitHub](https://github.com/sympy/sympy) (πŸ‘¨β€πŸ’» 1.3K Β· πŸ”€ 4K Β· πŸ“₯ 520K Β· πŸ“¦ 93K Β· πŸ“‹ 13K - 36% open Β· ⏱️ 14.11.2023): ``` git clone https://github.com/sympy/sympy @@ -8183,38 +8187,50 @@ _Libraries for connecting to, operating, and querying databases._ conda install -c conda-forge sympy ```
+
Gradio (πŸ₯‡42 Β· ⭐ 23K) - Wrap UIs around any model, share with anyone. Apache-2 + +- [GitHub](https://github.com/gradio-app/gradio) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 1.7K Β· πŸ“¦ 17K Β· πŸ“‹ 3.2K - 13% open Β· ⏱️ 16.11.2023): + + ``` + git clone https://github.com/gradio-app/gradio + ``` +- [PyPi](https://pypi.org/project/gradio) (πŸ“₯ 3M / month Β· πŸ“¦ 210 Β· ⏱️ 14.11.2023): + ``` + pip install gradio + ``` +
Streamlit (πŸ₯‡41 Β· ⭐ 28K) - Streamlit A faster way to build and share data apps. Apache-2 -- [GitHub](https://github.com/streamlit/streamlit) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 2.5K Β· πŸ“¦ 1K Β· πŸ“‹ 3.7K - 18% open Β· ⏱️ 09.11.2023): +- [GitHub](https://github.com/streamlit/streamlit) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 2.5K Β· πŸ“‹ 3.7K - 18% open Β· ⏱️ 15.11.2023): ``` git clone https://github.com/streamlit/streamlit ``` -- [PyPi](https://pypi.org/project/streamlit) (πŸ“₯ 2.6M / month Β· πŸ“¦ 1.2K Β· ⏱️ 03.11.2023): +- [PyPi](https://pypi.org/project/streamlit) (πŸ“₯ 2.7M / month Β· πŸ“¦ 1.2K Β· ⏱️ 13.11.2023): ``` pip install streamlit ```
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Gradio (πŸ₯‡41 Β· ⭐ 23K) - Wrap UIs around any model, share with anyone. Apache-2 +
carla (πŸ₯‡36 Β· ⭐ 9.9K Β· πŸ“ˆ) - Open-source simulator for autonomous driving research. MIT -- [GitHub](https://github.com/gradio-app/gradio) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 1.6K Β· πŸ“¦ 16K Β· πŸ“‹ 3.1K - 13% open Β· ⏱️ 09.11.2023): +- [GitHub](https://github.com/carla-simulator/carla) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 3.1K Β· πŸ“¦ 580 Β· πŸ“‹ 4.7K - 19% open Β· ⏱️ 10.11.2023): ``` - git clone https://github.com/gradio-app/gradio + git clone https://github.com/carla-simulator/carla ``` -- [PyPi](https://pypi.org/project/gradio) (πŸ“₯ 2.9M / month Β· πŸ“¦ 190 Β· ⏱️ 07.11.2023): +- [PyPi](https://pypi.org/project/carla) (πŸ“₯ 15K / month Β· πŸ“¦ 6 Β· ⏱️ 14.11.2023): ``` - pip install gradio + pip install carla ```
DeepChem (πŸ₯‡36 Β· ⭐ 4.7K) - Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry,.. MIT -- [GitHub](https://github.com/deepchem/deepchem) (πŸ‘¨β€πŸ’» 230 Β· πŸ”€ 1.5K Β· πŸ“¦ 280 Β· πŸ“‹ 1.7K - 27% open Β· ⏱️ 08.11.2023): +- [GitHub](https://github.com/deepchem/deepchem) (πŸ‘¨β€πŸ’» 230 Β· πŸ”€ 1.5K Β· πŸ“¦ 280 Β· πŸ“‹ 1.7K - 27% open Β· ⏱️ 10.11.2023): ``` git clone https://github.com/deepchem/deepchem ``` -- [PyPi](https://pypi.org/project/deepchem) (πŸ“₯ 18K / month Β· πŸ“¦ 11 Β· ⏱️ 08.11.2023): +- [PyPi](https://pypi.org/project/deepchem) (πŸ“₯ 17K / month Β· πŸ“¦ 11 Β· ⏱️ 10.11.2023): ``` pip install deepchem ``` @@ -8223,30 +8239,30 @@ _Libraries for connecting to, operating, and querying databases._ conda install -c conda-forge deepchem ```
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Datasette (πŸ₯‡35 Β· ⭐ 8.4K) - An open source multi-tool for exploring and publishing data. Apache-2 +
Datasette (πŸ₯‡35 Β· ⭐ 8.5K) - An open source multi-tool for exploring and publishing data. Apache-2 -- [GitHub](https://github.com/simonw/datasette) (πŸ‘¨β€πŸ’» 75 Β· πŸ”€ 590 Β· πŸ“₯ 58 Β· πŸ“¦ 1.1K Β· πŸ“‹ 1.7K - 31% open Β· ⏱️ 13.10.2023): +- [GitHub](https://github.com/simonw/datasette) (πŸ‘¨β€πŸ’» 75 Β· πŸ”€ 590 Β· πŸ“₯ 59 Β· πŸ“¦ 1.1K Β· πŸ“‹ 1.7K - 31% open Β· ⏱️ 13.10.2023): ``` git clone https://github.com/simonw/datasette ``` -- [PyPi](https://pypi.org/project/datasette) (πŸ“₯ 38K / month Β· πŸ“¦ 200 Β· ⏱️ 08.10.2023): +- [PyPi](https://pypi.org/project/datasette) (πŸ“₯ 40K / month Β· πŸ“¦ 200 Β· ⏱️ 08.10.2023): ``` pip install datasette ``` -- [Conda](https://anaconda.org/conda-forge/datasette) (πŸ“₯ 27K Β· ⏱️ 27.09.2023): +- [Conda](https://anaconda.org/conda-forge/datasette) (πŸ“₯ 28K Β· ⏱️ 27.09.2023): ``` conda install -c conda-forge datasette ```
Autograd (πŸ₯‡35 Β· ⭐ 6.5K) - Efficiently computes derivatives of numpy code. MIT -- [GitHub](https://github.com/HIPS/autograd) (πŸ‘¨β€πŸ’» 55 Β· πŸ”€ 870 Β· πŸ“¦ 6.5K Β· πŸ“‹ 410 - 42% open Β· ⏱️ 02.08.2023): +- [GitHub](https://github.com/HIPS/autograd) (πŸ‘¨β€πŸ’» 56 Β· πŸ”€ 870 Β· πŸ“¦ 6.6K Β· πŸ“‹ 410 - 42% open Β· ⏱️ 16.11.2023): ``` git clone https://github.com/HIPS/autograd ``` -- [PyPi](https://pypi.org/project/autograd) (πŸ“₯ 1.3M / month Β· πŸ“¦ 320 Β· ⏱️ 23.06.2023): +- [PyPi](https://pypi.org/project/autograd) (πŸ“₯ 1.2M / month Β· πŸ“¦ 320 Β· ⏱️ 23.06.2023): ``` pip install autograd ``` @@ -8262,7 +8278,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/wireservice/agate ``` -- [PyPi](https://pypi.org/project/agate) (πŸ“₯ 4.7M / month Β· πŸ“¦ 150 Β· ⏱️ 18.10.2023): +- [PyPi](https://pypi.org/project/agate) (πŸ“₯ 4.8M / month Β· πŸ“¦ 150 Β· ⏱️ 18.10.2023): ``` pip install agate ``` @@ -8294,23 +8310,11 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/PaddlePaddle/PaddleHub ``` -- [PyPi](https://pypi.org/project/paddlehub) (πŸ“₯ 6.6K / month Β· πŸ“¦ 6 Β· ⏱️ 20.09.2023): +- [PyPi](https://pypi.org/project/paddlehub) (πŸ“₯ 6.5K / month Β· πŸ“¦ 6 Β· ⏱️ 20.09.2023): ``` pip install paddlehub ```
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carla (πŸ₯ˆ33 Β· ⭐ 9.8K) - Open-source simulator for autonomous driving research. MIT - -- [GitHub](https://github.com/carla-simulator/carla) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 3K Β· πŸ“¦ 570 Β· πŸ“‹ 4.7K - 19% open Β· ⏱️ 26.10.2023): - - ``` - git clone https://github.com/carla-simulator/carla - ``` -- [PyPi](https://pypi.org/project/carla) (πŸ“₯ 14K / month Β· πŸ“¦ 4 Β· ⏱️ 24.12.2022): - ``` - pip install carla - ``` -
Pythran (πŸ₯ˆ33 Β· ⭐ 1.9K) - Ahead of Time compiler for numeric kernels. BSD-3 - [GitHub](https://github.com/serge-sans-paille/pythran) (πŸ‘¨β€πŸ’» 72 Β· πŸ”€ 190 Β· πŸ“¦ 1.4K Β· πŸ“‹ 830 - 15% open Β· ⏱️ 20.10.2023): @@ -8322,19 +8326,19 @@ _Libraries for connecting to, operating, and querying databases._ ``` pip install pythran ``` -- [Conda](https://anaconda.org/conda-forge/pythran) (πŸ“₯ 420K Β· ⏱️ 21.09.2023): +- [Conda](https://anaconda.org/conda-forge/pythran) (πŸ“₯ 430K Β· ⏱️ 21.09.2023): ``` conda install -c conda-forge pythran ```
River (πŸ₯ˆ32 Β· ⭐ 4.5K) - Online machine learning in Python. BSD-3 -- [GitHub](https://github.com/online-ml/river) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 540 Β· πŸ“¦ 370 Β· πŸ“‹ 550 - 17% open Β· ⏱️ 09.11.2023): +- [GitHub](https://github.com/online-ml/river) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 540 Β· πŸ“¦ 380 Β· πŸ“‹ 550 - 17% open Β· ⏱️ 09.11.2023): ``` git clone https://github.com/online-ml/river ``` -- [PyPi](https://pypi.org/project/river) (πŸ“₯ 19K / month Β· πŸ“¦ 29 Β· ⏱️ 09.11.2023): +- [PyPi](https://pypi.org/project/river) (πŸ“₯ 22K / month Β· πŸ“¦ 29 Β· ⏱️ 09.11.2023): ``` pip install river ``` @@ -8345,12 +8349,12 @@ _Libraries for connecting to, operating, and querying databases._
hdbscan (πŸ₯ˆ32 Β· ⭐ 2.6K) - A high performance implementation of HDBSCAN clustering. BSD-3 -- [GitHub](https://github.com/scikit-learn-contrib/hdbscan) (πŸ‘¨β€πŸ’» 85 Β· πŸ”€ 460 Β· πŸ“¦ 2.8K Β· πŸ“‹ 490 - 66% open Β· ⏱️ 04.10.2023): +- [GitHub](https://github.com/scikit-learn-contrib/hdbscan) (πŸ‘¨β€πŸ’» 86 Β· πŸ”€ 460 Β· πŸ“¦ 2.8K Β· πŸ“‹ 490 - 66% open Β· ⏱️ 10.11.2023): ``` git clone https://github.com/scikit-learn-contrib/hdbscan ``` -- [PyPi](https://pypi.org/project/hdbscan) (πŸ“₯ 570K / month Β· πŸ“¦ 220 Β· ⏱️ 18.07.2023): +- [PyPi](https://pypi.org/project/hdbscan) (πŸ“₯ 540K / month Β· πŸ“¦ 220 Β· ⏱️ 18.07.2023): ``` pip install hdbscan ``` @@ -8361,12 +8365,12 @@ _Libraries for connecting to, operating, and querying databases._
PennyLane (πŸ₯ˆ32 Β· ⭐ 2K) - PennyLane is a cross-platform Python library for differentiable.. Apache-2 -- [GitHub](https://github.com/PennyLaneAI/pennylane) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 500 Β· πŸ“₯ 70 Β· πŸ“¦ 660 Β· πŸ“‹ 1.1K - 28% open Β· ⏱️ 08.11.2023): +- [GitHub](https://github.com/PennyLaneAI/pennylane) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 500 Β· πŸ“₯ 70 Β· πŸ“¦ 670 Β· πŸ“‹ 1.1K - 28% open Β· ⏱️ 15.11.2023): ``` git clone https://github.com/PennyLaneAI/PennyLane ``` -- [PyPi](https://pypi.org/project/pennylane) (πŸ“₯ 41K / month Β· πŸ“¦ 63 Β· ⏱️ 08.11.2023): +- [PyPi](https://pypi.org/project/pennylane) (πŸ“₯ 42K / month Β· πŸ“¦ 63 Β· ⏱️ 08.11.2023): ``` pip install pennylane ``` @@ -8382,7 +8386,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/inducer/pyopencl ``` -- [PyPi](https://pypi.org/project/pyopencl) (πŸ“₯ 81K / month Β· πŸ“¦ 200 Β· ⏱️ 12.10.2023): +- [PyPi](https://pypi.org/project/pyopencl) (πŸ“₯ 71K / month Β· πŸ“¦ 200 Β· ⏱️ 12.10.2023): ``` pip install pyopencl ``` @@ -8391,9 +8395,9 @@ _Libraries for connecting to, operating, and querying databases._ conda install -c conda-forge pyopencl ```
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pandas-ai (πŸ₯ˆ30 Β· ⭐ 9K) - PandasAI is the Python library that integrates Gen AI into pandas,.. MIT +
pandas-ai (πŸ₯ˆ30 Β· ⭐ 9.1K) - PandasAI is the Python library that integrates Gen AI into pandas,.. MIT -- [GitHub](https://github.com/gventuri/pandas-ai) (πŸ‘¨β€πŸ’» 52 Β· πŸ”€ 730 Β· πŸ“¦ 2.3K Β· πŸ“‹ 370 - 35% open Β· ⏱️ 07.11.2023): +- [GitHub](https://github.com/gventuri/pandas-ai) (πŸ‘¨β€πŸ’» 53 Β· πŸ”€ 740 Β· πŸ“¦ 2.4K Β· πŸ“‹ 380 - 34% open Β· ⏱️ 15.11.2023): ``` git clone https://github.com/gventuri/pandas-ai @@ -8403,50 +8407,50 @@ _Libraries for connecting to, operating, and querying databases._ pip install pandas-ai ```
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causalml (πŸ₯ˆ30 Β· ⭐ 4.3K) - Uplift modeling and causal inference with machine learning.. Apache-2 +
causalml (πŸ₯ˆ30 Β· ⭐ 4.4K) - Uplift modeling and causal inference with machine learning.. Apache-2 -- [GitHub](https://github.com/uber/causalml) (πŸ‘¨β€πŸ’» 57 Β· πŸ”€ 690 Β· πŸ“¦ 170 Β· πŸ“‹ 390 - 22% open Β· ⏱️ 08.11.2023): +- [GitHub](https://github.com/uber/causalml) (πŸ‘¨β€πŸ’» 58 Β· πŸ”€ 700 Β· πŸ“¦ 170 Β· πŸ“‹ 390 - 22% open Β· ⏱️ 11.11.2023): ``` git clone https://github.com/uber/causalml ``` -- [PyPi](https://pypi.org/project/causalml) (πŸ“₯ 95K / month Β· πŸ“¦ 1 Β· ⏱️ 28.08.2023): +- [PyPi](https://pypi.org/project/causalml) (πŸ“₯ 91K / month Β· πŸ“¦ 1 Β· ⏱️ 28.08.2023): ``` pip install causalml ```
adapter-transformers (πŸ₯ˆ30 Β· ⭐ 2K) - Huggingface Transformers + Adapters =. Apache-2 huggingface -- [GitHub](https://github.com/adapter-hub/adapter-transformers) (πŸ‘¨β€πŸ’» 1.7K Β· πŸ”€ 290 Β· πŸ“¦ 240 Β· πŸ“‹ 350 - 18% open Β· ⏱️ 09.09.2023): +- [GitHub](https://github.com/adapter-hub/adapter-transformers) (πŸ‘¨β€πŸ’» 1.7K Β· πŸ”€ 290 Β· πŸ“¦ 250 Β· πŸ“‹ 350 - 18% open Β· ⏱️ 09.09.2023): ``` git clone https://github.com/Adapter-Hub/adapter-transformers ``` -- [PyPi](https://pypi.org/project/adapter-transformers) (πŸ“₯ 30K / month Β· πŸ“¦ 7 Β· ⏱️ 18.05.2022): +- [PyPi](https://pypi.org/project/adapter-transformers) (πŸ“₯ 31K / month Β· πŸ“¦ 7 Β· ⏱️ 18.05.2022): ``` pip install adapter-transformers ```
avalanche (πŸ₯ˆ30 Β· ⭐ 1.5K) - Avalanche: an End-to-End Library for Continual Learning based on.. MIT -- [GitHub](https://github.com/ContinualAI/avalanche) (πŸ‘¨β€πŸ’» 73 Β· πŸ”€ 250 Β· πŸ“₯ 4 Β· πŸ“¦ 54 Β· πŸ“‹ 750 - 11% open Β· ⏱️ 27.10.2023): +- [GitHub](https://github.com/ContinualAI/avalanche) (πŸ‘¨β€πŸ’» 73 Β· πŸ”€ 250 Β· πŸ“₯ 4 Β· πŸ“¦ 55 Β· πŸ“‹ 750 - 11% open Β· ⏱️ 27.10.2023): ``` git clone https://github.com/ContinualAI/avalanche ``` -- [PyPi](https://pypi.org/project/avalanche-lib) (πŸ“₯ 1.6K / month Β· πŸ“¦ 1 Β· ⏱️ 28.07.2023): +- [PyPi](https://pypi.org/project/avalanche-lib) (πŸ“₯ 1.3K / month Β· πŸ“¦ 1 Β· ⏱️ 28.07.2023): ``` pip install avalanche-lib ```
tensorly (πŸ₯ˆ30 Β· ⭐ 1.5K) - TensorLy: Tensor Learning in Python. BSD-2 -- [GitHub](https://github.com/tensorly/tensorly) (πŸ‘¨β€πŸ’» 66 Β· πŸ”€ 270 Β· πŸ“¦ 500 Β· πŸ“‹ 250 - 23% open Β· ⏱️ 20.10.2023): +- [GitHub](https://github.com/tensorly/tensorly) (πŸ‘¨β€πŸ’» 66 Β· πŸ”€ 270 Β· πŸ“¦ 510 Β· πŸ“‹ 250 - 23% open Β· ⏱️ 09.11.2023): ``` git clone https://github.com/tensorly/tensorly ``` -- [PyPi](https://pypi.org/project/tensorly) (πŸ“₯ 20K / month Β· πŸ“¦ 49 Β· ⏱️ 14.01.2023): +- [PyPi](https://pypi.org/project/tensorly) (πŸ“₯ 16K / month Β· πŸ“¦ 49 Β· ⏱️ 14.01.2023): ``` pip install tensorly ``` @@ -8457,12 +8461,12 @@ _Libraries for connecting to, operating, and querying databases._
pyjanitor (πŸ₯ˆ30 Β· ⭐ 1.2K) - Clean APIs for data cleaning. Python implementation of R package.. MIT -- [GitHub](https://github.com/pyjanitor-devs/pyjanitor) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 160 Β· πŸ“¦ 480 Β· πŸ“‹ 540 - 19% open Β· ⏱️ 09.11.2023): +- [GitHub](https://github.com/pyjanitor-devs/pyjanitor) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 160 Β· πŸ“¦ 490 Β· πŸ“‹ 540 - 19% open Β· ⏱️ 09.11.2023): ``` git clone https://github.com/pyjanitor-devs/pyjanitor ``` -- [PyPi](https://pypi.org/project/pyjanitor) (πŸ“₯ 32K / month Β· πŸ“¦ 18 Β· ⏱️ 18.09.2023): +- [PyPi](https://pypi.org/project/pyjanitor) (πŸ“₯ 34K / month Β· πŸ“¦ 18 Β· ⏱️ 18.09.2023): ``` pip install pyjanitor ``` @@ -8478,7 +8482,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/datalad/datalad ``` -- [PyPi](https://pypi.org/project/datalad) (πŸ“₯ 17K / month Β· πŸ“¦ 64 Β· ⏱️ 10.08.2023): +- [PyPi](https://pypi.org/project/datalad) (πŸ“₯ 18K / month Β· πŸ“¦ 64 Β· ⏱️ 10.08.2023): ``` pip install datalad ``` @@ -8487,21 +8491,9 @@ _Libraries for connecting to, operating, and querying databases._ conda install -c conda-forge datalad ```
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anomalib (πŸ₯ˆ29 Β· ⭐ 2.5K) - An anomaly detection library comprising state-of-the-art algorithms.. Apache-2 - -- [GitHub](https://github.com/openvinotoolkit/anomalib) (πŸ‘¨β€πŸ’» 63 Β· πŸ”€ 460 Β· πŸ“₯ 3.7K Β· πŸ“¦ 33 Β· πŸ“‹ 590 - 9% open Β· ⏱️ 08.11.2023): - - ``` - git clone https://github.com/openvinotoolkit/anomalib - ``` -- [PyPi](https://pypi.org/project/anomalib) (πŸ“₯ 33K / month Β· πŸ“¦ 1 Β· ⏱️ 29.08.2023): - ``` - pip install anomalib - ``` -
alibi-detect (πŸ₯ˆ29 Β· ⭐ 2K) - Algorithms for outlier, adversarial and drift detection. Apache-2 -- [GitHub](https://github.com/SeldonIO/alibi-detect) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 200 Β· πŸ“¦ 380 Β· πŸ“‹ 370 - 36% open Β· ⏱️ 25.10.2023): +- [GitHub](https://github.com/SeldonIO/alibi-detect) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 200 Β· πŸ“¦ 380 Β· πŸ“‹ 370 - 36% open Β· ⏱️ 13.11.2023): ``` git clone https://github.com/SeldonIO/alibi-detect @@ -8513,12 +8505,12 @@ _Libraries for connecting to, operating, and querying databases._
Prince (πŸ₯ˆ29 Β· ⭐ 1.1K) - Multivariate exploratory data analysis in Python PCA, CA, MCA, MFA,.. MIT -- [GitHub](https://github.com/MaxHalford/prince) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 180 Β· πŸ“¦ 430 Β· πŸ“‹ 130 - 2% open Β· ⏱️ 11.10.2023): +- [GitHub](https://github.com/MaxHalford/prince) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 180 Β· πŸ“¦ 440 Β· πŸ“‹ 130 - 2% open Β· ⏱️ 11.10.2023): ``` git clone https://github.com/MaxHalford/prince ``` -- [PyPi](https://pypi.org/project/prince) (πŸ“₯ 72K / month Β· πŸ“¦ 10 Β· ⏱️ 11.10.2023): +- [PyPi](https://pypi.org/project/prince) (πŸ“₯ 67K / month Β· πŸ“¦ 10 Β· ⏱️ 11.10.2023): ``` pip install prince ``` @@ -8527,6 +8519,18 @@ _Libraries for connecting to, operating, and querying databases._ conda install -c conda-forge prince-factor-analysis ```
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anomalib (πŸ₯‰28 Β· ⭐ 2.6K) - An anomaly detection library comprising state-of-the-art algorithms.. Apache-2 + +- [GitHub](https://github.com/openvinotoolkit/anomalib) (πŸ‘¨β€πŸ’» 64 Β· πŸ”€ 470 Β· πŸ“₯ 3.8K Β· πŸ“¦ 34 Β· πŸ“‹ 590 - 9% open Β· ⏱️ 15.11.2023): + + ``` + git clone https://github.com/openvinotoolkit/anomalib + ``` +- [PyPi](https://pypi.org/project/anomalib) (πŸ“₯ 37K / month Β· πŸ“¦ 1 Β· ⏱️ 29.08.2023): + ``` + pip install anomalib + ``` +
TabPy (πŸ₯‰28 Β· ⭐ 1.5K) - Execute Python code on the fly and display results in Tableau visualizations:. MIT - [GitHub](https://github.com/tableau/TabPy) (πŸ‘¨β€πŸ’» 49 Β· πŸ”€ 570 Β· πŸ“¦ 140 Β· πŸ“‹ 310 - 3% open Β· ⏱️ 10.10.2023): @@ -8534,7 +8538,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/tableau/TabPy ``` -- [PyPi](https://pypi.org/project/tabpy) (πŸ“₯ 18K / month Β· πŸ“¦ 2 Β· ⏱️ 30.01.2023): +- [PyPi](https://pypi.org/project/tabpy) (πŸ“₯ 17K / month Β· πŸ“¦ 2 Β· ⏱️ 30.01.2023): ``` pip install tabpy ``` @@ -8550,7 +8554,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/scikit-learn-contrib/metric-learn ``` -- [PyPi](https://pypi.org/project/metric-learn) (πŸ“₯ 9.4K / month Β· πŸ“¦ 13 Β· ⏱️ 09.10.2023): +- [PyPi](https://pypi.org/project/metric-learn) (πŸ“₯ 10K / month Β· πŸ“¦ 13 Β· ⏱️ 09.10.2023): ``` pip install metric-learn ``` @@ -8566,7 +8570,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/nicodv/kmodes ``` -- [PyPi](https://pypi.org/project/kmodes) (πŸ“₯ 160K / month Β· πŸ“¦ 33 Β· ⏱️ 14.04.2022): +- [PyPi](https://pypi.org/project/kmodes) (πŸ“₯ 170K / month Β· πŸ“¦ 33 Β· ⏱️ 14.04.2022): ``` pip install kmodes ``` @@ -8582,19 +8586,19 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/ljvmiranda921/pyswarms ``` -- [PyPi](https://pypi.org/project/pyswarms) (πŸ“₯ 22K / month Β· πŸ“¦ 14 Β· ⏱️ 03.01.2021): +- [PyPi](https://pypi.org/project/pyswarms) (πŸ“₯ 28K / month Β· πŸ“¦ 14 Β· ⏱️ 03.01.2021): ``` pip install pyswarms ```
pysc2 (πŸ₯‰27 Β· ⭐ 7.8K Β· πŸ’€) - StarCraft II Learning Environment. Apache-2 -- [GitHub](https://github.com/google-deepmind/pysc2) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 1.2K Β· πŸ“₯ 31K Β· πŸ“¦ 620 Β· πŸ“‹ 280 - 16% open Β· ⏱️ 19.04.2023): +- [GitHub](https://github.com/google-deepmind/pysc2) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 1.2K Β· πŸ“₯ 31K Β· πŸ“¦ 630 Β· πŸ“‹ 280 - 16% open Β· ⏱️ 19.04.2023): ``` git clone https://github.com/deepmind/pysc2 ``` -- [PyPi](https://pypi.org/project/pysc2) (πŸ“₯ 1.6K / month Β· πŸ“¦ 26 Β· ⏱️ 13.07.2022): +- [PyPi](https://pypi.org/project/pysc2) (πŸ“₯ 1.5K / month Β· πŸ“¦ 26 Β· ⏱️ 13.07.2022): ``` pip install pysc2 ``` @@ -8606,50 +8610,38 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/sepandhaghighi/pycm ``` -- [PyPi](https://pypi.org/project/pycm) (πŸ“₯ 35K / month Β· πŸ“¦ 16 Β· ⏱️ 27.04.2022): +- [PyPi](https://pypi.org/project/pycm) (πŸ“₯ 37K / month Β· πŸ“¦ 16 Β· ⏱️ 27.04.2022): ``` pip install pycm ```
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modAL (πŸ₯‰26 Β· ⭐ 2K) - A modular active learning framework for Python. MIT - -- [GitHub](https://github.com/modAL-python/modAL) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 340 Β· πŸ“₯ 29 Β· πŸ“¦ 17 Β· πŸ“‹ 150 - 62% open Β· ⏱️ 01.06.2023): - - ``` - git clone https://github.com/modAL-python/modAL - ``` -- [PyPi](https://pypi.org/project/modAL) (πŸ“₯ 140K / month Β· πŸ“¦ 3 Β· ⏱️ 07.11.2023): - ``` - pip install modAL - ``` -
-
dstack (πŸ₯‰26 Β· ⭐ 850) - dstack simplifies training, fine-tuning, and deploying generative AI.. MPL-2.0 +
Trax (πŸ₯‰26 Β· ⭐ 7.8K) - Trax Deep Learning with Clear Code and Speed. Apache-2 -- [GitHub](https://github.com/dstackai/dstack) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 53 Β· πŸ“¦ 13 Β· πŸ“‹ 410 - 2% open Β· ⏱️ 09.11.2023): +- [GitHub](https://github.com/google/trax) (πŸ‘¨β€πŸ’» 79 Β· πŸ”€ 810 Β· πŸ“¦ 130 Β· πŸ“‹ 240 - 47% open Β· ⏱️ 15.11.2023): ``` - git clone https://github.com/dstackai/dstack + git clone https://github.com/google/trax ``` -- [PyPi](https://pypi.org/project/dstack) (πŸ“₯ 1.4K / month Β· ⏱️ 31.10.2023): +- [PyPi](https://pypi.org/project/trax) (πŸ“₯ 4.3K / month Β· πŸ“¦ 1 Β· ⏱️ 26.10.2021): ``` - pip install dstack + pip install trax ```
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Trax (πŸ₯‰25 Β· ⭐ 7.8K) - Trax Deep Learning with Clear Code and Speed. Apache-2 +
modAL (πŸ₯‰26 Β· ⭐ 2.1K) - A modular active learning framework for Python. MIT -- [GitHub](https://github.com/google/trax) (πŸ‘¨β€πŸ’» 79 Β· πŸ”€ 810 Β· πŸ“¦ 130 Β· πŸ“‹ 240 - 47% open Β· ⏱️ 23.10.2023): +- [GitHub](https://github.com/modAL-python/modAL) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 350 Β· πŸ“₯ 29 Β· πŸ“¦ 22 Β· πŸ“‹ 150 - 62% open Β· ⏱️ 01.06.2023): ``` - git clone https://github.com/google/trax + git clone https://github.com/modAL-python/modAL ``` -- [PyPi](https://pypi.org/project/trax) (πŸ“₯ 4K / month Β· πŸ“¦ 1 Β· ⏱️ 26.10.2021): +- [PyPi](https://pypi.org/project/modAL) (πŸ“₯ 140K / month Β· πŸ“¦ 3 Β· ⏱️ 15.11.2023): ``` - pip install trax + pip install modAL ```
AugLy (πŸ₯‰25 Β· ⭐ 4.8K) - A data augmentations library for audio, image, text, and video. MIT -- [GitHub](https://github.com/facebookresearch/AugLy) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 290 Β· πŸ“¦ 84 Β· πŸ“‹ 73 - 26% open Β· ⏱️ 08.11.2023): +- [GitHub](https://github.com/facebookresearch/AugLy) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 290 Β· πŸ“¦ 86 Β· πŸ“‹ 73 - 26% open Β· ⏱️ 08.11.2023): ``` git clone https://github.com/facebookresearch/AugLy @@ -8666,7 +8658,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/mars-project/mars ``` -- [PyPi](https://pypi.org/project/pymars) (πŸ“₯ 51K / month Β· πŸ“¦ 1 Β· ⏱️ 12.06.2022): +- [PyPi](https://pypi.org/project/pymars) (πŸ“₯ 45K / month Β· πŸ“¦ 1 Β· ⏱️ 12.06.2022): ``` pip install pymars ``` @@ -8687,6 +8679,22 @@ _Libraries for connecting to, operating, and querying databases._ conda install -c conda-forge feature_engine ```
+
gplearn (πŸ₯‰25 Β· ⭐ 1.4K) - Genetic Programming in Python, with a scikit-learn inspired API. BSD-3 + +- [GitHub](https://github.com/trevorstephens/gplearn) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 250 Β· πŸ“¦ 460 Β· πŸ“‹ 210 - 10% open Β· ⏱️ 12.08.2023): + + ``` + git clone https://github.com/trevorstephens/gplearn + ``` +- [PyPi](https://pypi.org/project/gplearn) (πŸ“₯ 6.7K / month Β· πŸ“¦ 15 Β· ⏱️ 03.05.2022): + ``` + pip install gplearn + ``` +- [Conda](https://anaconda.org/conda-forge/gplearn) (πŸ“₯ 6.3K Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge gplearn + ``` +
BioPandas (πŸ₯‰25 Β· ⭐ 650) - Working with molecular structures in pandas DataFrames. BSD-3 - [GitHub](https://github.com/BioPandas/biopandas) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 120 Β· πŸ“¦ 210 Β· πŸ“‹ 56 - 41% open Β· ⏱️ 19.09.2023): @@ -8694,7 +8702,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/rasbt/biopandas ``` -- [PyPi](https://pypi.org/project/biopandas) (πŸ“₯ 92K / month Β· πŸ“¦ 23 Β· ⏱️ 28.08.2023): +- [PyPi](https://pypi.org/project/biopandas) (πŸ“₯ 91K / month Β· πŸ“¦ 23 Β· ⏱️ 28.08.2023): ``` pip install biopandas ``` @@ -8703,20 +8711,16 @@ _Libraries for connecting to, operating, and querying databases._ conda install -c conda-forge biopandas ```
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gplearn (πŸ₯‰24 Β· ⭐ 1.4K) - Genetic Programming in Python, with a scikit-learn inspired API. BSD-3 +
dstack (πŸ₯‰24 Β· ⭐ 850 Β· πŸ“‰) - dstack simplifies training, fine-tuning, and deploying generative.. MPL-2.0 -- [GitHub](https://github.com/trevorstephens/gplearn) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 250 Β· πŸ“¦ 460 Β· πŸ“‹ 210 - 10% open Β· ⏱️ 12.08.2023): +- [GitHub](https://github.com/dstackai/dstack) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 53 Β· πŸ“¦ 13 Β· πŸ“‹ 420 - 2% open Β· ⏱️ 15.11.2023): ``` - git clone https://github.com/trevorstephens/gplearn - ``` -- [PyPi](https://pypi.org/project/gplearn) (πŸ“₯ 6.4K / month Β· πŸ“¦ 15 Β· ⏱️ 03.05.2022): - ``` - pip install gplearn + git clone https://github.com/dstackai/dstack ``` -- [Conda](https://anaconda.org/conda-forge/gplearn) (πŸ“₯ 6.3K Β· ⏱️ 16.06.2023): +- [PyPi](https://pypi.org/project/dstack) (πŸ“₯ 990 / month Β· ⏱️ 15.11.2023): ``` - conda install -c conda-forge gplearn + pip install dstack ```
MONAILabel (πŸ₯‰24 Β· ⭐ 470) - MONAI Label is an intelligent open source image labeling and.. Apache-2 @@ -8738,19 +8742,19 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/yzhao062/SUOD ``` -- [PyPi](https://pypi.org/project/suod) (πŸ“₯ 75K / month Β· πŸ“¦ 2 Β· ⏱️ 27.10.2023): +- [PyPi](https://pypi.org/project/suod) (πŸ“₯ 68K / month Β· πŸ“¦ 2 Β· ⏱️ 27.10.2023): ``` pip install suod ```
benchmark_VAE (πŸ₯‰22 Β· ⭐ 1.5K) - Unifying Variational Autoencoder (VAE) implementations.. Apache-2 -- [GitHub](https://github.com/clementchadebec/benchmark_VAE) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 130 Β· πŸ“¦ 15 Β· πŸ“‹ 48 - 35% open Β· ⏱️ 22.10.2023): +- [GitHub](https://github.com/clementchadebec/benchmark_VAE) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 140 Β· πŸ“¦ 17 Β· πŸ“‹ 48 - 35% open Β· ⏱️ 22.10.2023): ``` git clone https://github.com/clementchadebec/benchmark_VAE ``` -- [PyPi](https://pypi.org/project/pythae) (πŸ“₯ 470 / month Β· ⏱️ 06.09.2023): +- [PyPi](https://pypi.org/project/pythae) (πŸ“₯ 580 / month Β· ⏱️ 06.09.2023): ``` pip install pythae ``` @@ -8762,7 +8766,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/astroML/astroML ``` -- [PyPi](https://pypi.org/project/astroML) (πŸ“₯ 900 / month Β· πŸ“¦ 36 Β· ⏱️ 01.03.2022): +- [PyPi](https://pypi.org/project/astroML) (πŸ“₯ 920 / month Β· πŸ“¦ 36 Β· ⏱️ 01.03.2022): ``` pip install astroML ``` @@ -8773,24 +8777,24 @@ _Libraries for connecting to, operating, and querying databases._
pykale (πŸ₯‰21 Β· ⭐ 410) - Knowledge-Aware machine LEarning (KALE): accessible machine learning.. MIT -- [GitHub](https://github.com/pykale/pykale) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 60 Β· πŸ“¦ 1 Β· πŸ“‹ 120 - 7% open Β· ⏱️ 23.10.2023): +- [GitHub](https://github.com/pykale/pykale) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 60 Β· πŸ“¦ 1 Β· πŸ“‹ 120 - 7% open Β· ⏱️ 15.11.2023): ``` git clone https://github.com/pykale/pykale ``` -- [PyPi](https://pypi.org/project/pykale) (πŸ“₯ 74 / month Β· ⏱️ 12.04.2022): +- [PyPi](https://pypi.org/project/pykale) (πŸ“₯ 85 / month Β· ⏱️ 12.04.2022): ``` pip install pykale ```
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rrcf (πŸ₯‰18 Β· ⭐ 460) - Implementation of the Robust Random Cut Forest algorithm for anomaly detection.. MIT +
rrcf (πŸ₯‰19 Β· ⭐ 460) - Implementation of the Robust Random Cut Forest algorithm for anomaly detection.. MIT - [GitHub](https://github.com/kLabUM/rrcf) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 100 Β· πŸ“¦ 55 Β· πŸ“‹ 47 - 57% open Β· ⏱️ 12.08.2023): ``` git clone https://github.com/kLabUM/rrcf ``` -- [PyPi](https://pypi.org/project/rrcf) (πŸ“₯ 5.9K / month Β· πŸ“¦ 8 Β· ⏱️ 10.06.2020): +- [PyPi](https://pypi.org/project/rrcf) (πŸ“₯ 6.1K / month Β· πŸ“¦ 8 Β· ⏱️ 10.06.2020): ``` pip install rrcf ``` @@ -8802,7 +8806,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/facebookresearch/NeuralCompression ``` -- [PyPi](https://pypi.org/project/neuralcompression) (πŸ“₯ 480 / month Β· ⏱️ 03.10.2023): +- [PyPi](https://pypi.org/project/neuralcompression) (πŸ“₯ 460 / month Β· ⏱️ 03.10.2023): ``` pip install neuralcompression ``` @@ -8814,7 +8818,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/infer-actively/pymdp ``` -- [PyPi](https://pypi.org/project/inferactively-pymdp) (πŸ“₯ 94 / month Β· ⏱️ 08.12.2022): +- [PyPi](https://pypi.org/project/inferactively-pymdp) (πŸ“₯ 98 / month Β· ⏱️ 08.12.2022): ``` pip install inferactively-pymdp ``` @@ -8839,9 +8843,9 @@ _Libraries for connecting to, operating, and querying databases._ - minisom (πŸ₯‰26 Β· ⭐ 1.3K) - MiniSom is a minimalistic implementation of the Self Organizing.. ❗️CC-BY-3.0 - metricflow (πŸ₯‰24 Β· ⭐ 980) - MetricFlow allows you to define, build, and maintain metrics.. ❗Unlicensed - findspark (πŸ₯‰24 Β· ⭐ 500 Β· πŸ’€) - Find pyspark to make it importable. BSD-3 -- mlens (πŸ₯‰22 Β· ⭐ 810 Β· πŸ’€) - ML-Ensemble high performance ensemble learning. MIT +- mlens (πŸ₯‰23 Β· ⭐ 810 Β· πŸ’€) - ML-Ensemble high performance ensemble learning. MIT +- opyrator (πŸ₯‰22 Β· ⭐ 3K Β· πŸ’€) - Turns your machine learning code into microservices with web API,.. MIT - vecstack (πŸ₯‰22 Β· ⭐ 680 Β· πŸ’€) - Python package for stacking (machine learning technique). MIT -- opyrator (πŸ₯‰21 Β· ⭐ 2.9K Β· πŸ’€) - Turns your machine learning code into microservices with web API,.. MIT - StreamAlert (πŸ₯‰21 Β· ⭐ 2.8K Β· πŸ’€) - StreamAlert is a serverless, realtime data analysis.. Apache-2 - impyute (πŸ₯‰21 Β· ⭐ 340 Β· πŸ’€) - Data imputations library to preprocess datasets with missing data. MIT - apricot (πŸ₯‰20 Β· ⭐ 480 Β· πŸ’€) - apricot implements submodular optimization for the purpose of.. MIT @@ -8849,7 +8853,7 @@ _Libraries for connecting to, operating, and querying databases._ - baikal (πŸ₯‰18 Β· ⭐ 590 Β· πŸ’€) - A graph-based functional API for building complex scikit-learn.. BSD-3 - pandas-ml (πŸ₯‰18 Β· ⭐ 310 Β· πŸ’€) - pandas, scikit-learn, xgboost and seaborn integration. BSD-3 - traingenerator (πŸ₯‰13 Β· ⭐ 1.3K Β· πŸ’€) - A web app to generate template code for machine learning. MIT -- nylon (πŸ₯‰12 Β· ⭐ 83 Β· πŸ’€) - An intelligent, flexible grammar of machine learning. MIT +- nylon (πŸ₯‰12 Β· ⭐ 84 Β· πŸ’€) - An intelligent, flexible grammar of machine learning. MIT
--- diff --git a/history/2023-11-16_changes.md b/history/2023-11-16_changes.md new file mode 100644 index 00000000..e781c411 --- /dev/null +++ b/history/2023-11-16_changes.md @@ -0,0 +1,30 @@ +## πŸ“ˆ 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._ + +- Keras (πŸ₯‡50 Β· ⭐ 60K Β· πŸ“ˆ) - Deep Learning for humans. Apache-2 +- scipy (πŸ₯‡49 Β· ⭐ 12K Β· πŸ“ˆ) - Ecosystem of open-source software for mathematics, science, and.. BSD-3 +- Theano (πŸ₯ˆ38 Β· ⭐ 9.8K Β· πŸ’€) - Theano was a Python library that allows you to define, optimize, and.. BSD-3 +- Coqui TTS (πŸ₯‡37 Β· ⭐ 22K Β· πŸ“ˆ) - - a deep learning toolkit for Text-to-Speech, battle-.. MPL-2.0 +- carla (πŸ₯‡36 Β· ⭐ 9.9K Β· πŸ“ˆ) - Open-source simulator for autonomous driving research. MIT +- Face Recognition (πŸ₯ˆ35 Β· ⭐ 50K Β· πŸ’€) - The worlds simplest facial recognition api for Python.. MIT +- opencv-python (πŸ₯ˆ33 Β· ⭐ 3.8K Β· πŸ“ˆ) - Automated CI toolchain to produce precompiled opencv-python,.. MIT +- Augmentor (πŸ₯‰27 Β· ⭐ 5K Β· πŸ’€) - Image augmentation library in Python for machine learning. MIT +- SKLL (πŸ₯‰26 Β· ⭐ 540 Β· πŸ“ˆ) - SciKit-Learn Laboratory (SKLL) makes it easy to run.. ❗️BSD-1-Clause +- deltapy (πŸ₯‰13 Β· ⭐ 520 Β· πŸ’€) - DeltaPy - Tabular Data Augmentation (by @firmai). MIT + +## πŸ“‰ 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._ + +- PySpark (πŸ₯ˆ38 Β· ⭐ 37K Β· πŸ“‰) - Apache Spark Python API. Apache-2 +- triton (πŸ₯‡38 Β· ⭐ 8.8K Β· πŸ“‰) - Development repository for the Triton language and compiler. MIT +- flair (πŸ₯‡37 Β· ⭐ 13K Β· πŸ“‰) - A very simple framework for state-of-the-art Natural.. ❗Unlicensed +- PyFlink (πŸ₯ˆ34 Β· ⭐ 22K Β· πŸ“‰) - Apache Flink Python API. Apache-2 +- CNTK (πŸ₯‰26 Β· ⭐ 17K Β· πŸ’€) - Microsoft Cognitive Toolkit (CNTK), an open source deep-learning.. ❗Unlicensed +- langid (πŸ₯‰24 Β· ⭐ 2.2K Β· πŸ’€) - Stand-alone language identification system. ❗Unlicensed +- keras-ocr (πŸ₯‰24 Β· ⭐ 1.3K Β· πŸ“‰) - A packaged and flexible version of the CRAFT text detector.. MIT +- dstack (πŸ₯‰24 Β· ⭐ 850 Β· πŸ“‰) - dstack simplifies training, fine-tuning, and deploying generative.. MPL-2.0 +- Objax (πŸ₯‰22 Β· ⭐ 740 Β· πŸ“‰) - Apache-2 +- DESlib (πŸ₯‰16 Β· ⭐ 450 Β· πŸ“‰) - A Python library for dynamic classifier and ensemble selection. BSD-3 + diff --git a/history/2023-11-16_projects.csv b/history/2023-11-16_projects.csv new file mode 100644 index 00000000..c5060562 --- /dev/null +++ b/history/2023-11-16_projects.csv @@ -0,0 +1,917 @@ +,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_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,pypi_latest_release_published_at,pypi_dependent_project_count,trending,npm_id,npm_url,npm_monthly_downloads,helm_id,npm_latest_release_published_at,npm_dependent_project_count,updated_github_id,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 +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 13:21:43.000,2023-11-09 15:21:11.000000,2023-10-23 18:26:19,1535.0,21.0,605.0,107.0,304.0,45.0,130.0,4180.0,Benchmarks of approximate nearest neighbor libraries in Python.,98.0,0,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 13:09:27.000,2023-11-10 20:22:49.000000,2023-11-10 20:22:49,282.0,23.0,154.0,52.0,169.0,1.0,2.0,2056.0,Collection of web-scraping and crawling libraries.,13.0,0,True,2023-11-09 18:04:11.000,2023.11.09,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +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 19:11:32.000,2023-11-16 13:32:08.000000,2023-11-09 14:44:16,299.0,25.0,222.0,88.0,170.0,4.0,4.0,3225.0,Collection of data-loading and -extraction libraries.,12.0,0,True,2023-11-09 14:45:29.000,2023.04.06,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +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 19:11:32.000,2023-11-16 13:32:08.000000,2023-11-09 14:44:16,299.0,25.0,222.0,88.0,170.0,4.0,4.0,3225.0,Collection of database clients for python.,12.0,0,True,2023-11-09 14:45:29.000,2023.04.06,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +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 19:11:32.000,2023-11-16 13:32:08.000000,2023-11-09 14:44:16,299.0,25.0,222.0,88.0,170.0,4.0,4.0,3225.0,"Collection of data-container, dataframe, and pandas-utility libraries.",12.0,0,True,2023-11-09 14:45:29.000,2023.04.06,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +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 19:11:32.000,2023-11-16 13:32:08.000000,2023-11-09 14:44:16,299.0,25.0,222.0,88.0,170.0,4.0,4.0,3225.0,"Libraries for data batch- and stream-processing, workflow automation, job scheduling, and other data pipeline tasks.",12.0,0,True,2023-11-09 14:45:29.000,2023.04.06,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +6,Tensorflow,tensorflow/tensorflow,ml-frameworks,,https://github.com/tensorflow/tensorflow,https://github.com/tensorflow/tensorflow,Apache-2.0,2015-11-07 01:19:20.000,2023-11-16 13:49:13.437174,2023-11-16 13:39:15,156307.0,3610.0,71884.0,7681.0,23518.0,1918.0,36372.0,181039.0,An Open Source Machine Learning Framework for Everyone.,4494.0,54,True,2023-11-14 18:46:08.000,2.15.0,100.0,tensorflow,conda-forge/tensorflow,tensorflow/tensorflow,https://www.tensorflow.org/overview,['tensorflow'],319437.0,319437.0,https://pypi.org/project/tensorflow,17760228.0,18983812.0,https://anaconda.org/conda-forge/tensorflow,2023-11-14 01:21:42.350,4418696.0,https://hub.docker.com/r/tensorflow/tensorflow,2023-11-16 13:49:13.437174,2234.0,75044642.0,1.0,,,,,,,,,,,,,,,,,,,,,, +7,PyTorch,pytorch/pytorch,ml-frameworks,,https://github.com/pytorch/pytorch,https://github.com/pytorch/pytorch,BSD-3-Clause,2016-08-13 05:26:41.000,2023-11-16 14:14:24.000000,2023-11-16 13:21:15,66413.0,3337.0,19173.0,1682.0,75735.0,12293.0,25544.0,72585.0,Tensors and Dynamic neural networks in Python with strong GPU acceleration.,4491.0,54,True,2023-11-15 22:59:33.000,2.1.1,47.0,torch,pytorch/pytorch,,https://pytorch.org/docs/stable/index.html,['pytorch'],344953.0,344953.0,https://pypi.org/project/torch,14722385.0,15473340.0,https://anaconda.org/pytorch/pytorch,2023-11-14 20:37:38.204,19516625.0,,,,,1.0,27222.0,,,,,,,,,,,,,,,,,,,,, +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 09:43:38.000,2023-11-16 13:59:12.000000,2023-11-16 10:23:44,30638.0,357.0,23919.0,2155.0,16366.0,1621.0,8909.0,56437.0,scikit-learn: machine learning in Python.,3011.0,52,True,2023-10-25 08:23:32.000,1.3.2,44.0,scikit-learn,conda-forge/scikit-learn,,,['sklearn'],638927.0,638927.0,https://pypi.org/project/scikit-learn,44391340.0,44998592.0,https://anaconda.org/conda-forge/scikit-learn,2023-10-25 09:40:41.903,25504204.0,,,,,1.0,913.0,,,,,,,,,,,,,,,,,,,,, +9,Matplotlib,matplotlib/matplotlib,data-viz,,https://github.com/matplotlib/matplotlib,https://github.com/matplotlib/matplotlib,Python-2.0,2011-02-19 03:17:12.000,2023-11-16 06:10:35.000000,2023-11-16 02:30:24,49094.0,892.0,7044.0,592.0,17388.0,1495.0,8744.0,18414.0,matplotlib: plotting with Python.,1606.0,51,True,2023-11-01 00:39:39.000,3.8.1,117.0,matplotlib,conda-forge/matplotlib,,,,1064528.0,1001735.0,https://pypi.org/project/matplotlib,43790825.0,44309834.0,https://anaconda.org/conda-forge/matplotlib,2023-11-01 20:55:47.459,21279383.0,,,,,1.0,,2023-11-01 00:39:39.000,62793.0,,,,,,,,,,,,,,,,,,, +10,transformers,huggingface/transformers,nlp,,https://github.com/huggingface/transformers,https://github.com/huggingface/transformers,Apache-2.0,2018-10-29 13:56:00.000,2023-11-16 14:11:42.000000,2023-11-16 13:50:39,14516.0,774.0,23020.0,1072.0,13883.0,925.0,12626.0,115273.0,"Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.",2258.0,50,True,2023-11-15 16:39:42.000,4.35.2,125.0,transformers,conda-forge/transformers,,,"['pytorch', 'tensorflow']",116650.0,114165.0,https://pypi.org/project/transformers,17854862.0,17890962.0,https://anaconda.org/conda-forge/transformers,2023-11-15 00:12:51.565,1444014.0,,,,,1.0,,2023-11-15 16:38:58.000,2485.0,,,,,,,,,,,,,,,,,,, +11,Keras,keras-team/keras,ml-frameworks,,https://github.com/keras-team/keras,https://github.com/keras-team/keras,Apache-2.0,2015-03-28 00:35:42.000,2023-11-16 07:16:48.000000,2023-11-16 06:31:32,10031.0,549.0,18535.0,1918.0,6738.0,118.0,11262.0,59739.0,Deep Learning for humans.,1252.0,50,True,2023-09-12 16:19:40.000,2.14.0,52.0,keras,conda-forge/keras,,https://keras.io,['tensorflow'],189359.0,189359.0,https://pypi.org/project/keras,13325941.0,13406965.0,https://anaconda.org/conda-forge/keras,2023-11-15 08:53:46.597,3321987.0,,,,,1.0,,,,6.0,,,,,,,,,,,,,,,,,, +12,scipy,scipy/scipy,others,,https://github.com/scipy/scipy,https://github.com/scipy/scipy,BSD-3-Clause,2011-03-09 18:52:03.000,2023-11-16 13:20:28.000000,2023-11-16 11:45:22,31115.0,417.0,4859.0,348.0,10024.0,1676.0,8056.0,11905.0,"Ecosystem of open-source software for mathematics, science, and engineering.",1552.0,49,True,2023-09-27 22:44:39.000,1.11.3,97.0,scipy,conda-forge/scipy,,,,923770.0,858957.0,https://pypi.org/project/scipy,65485172.0,66703907.0,https://anaconda.org/conda-forge/scipy,2023-10-05 05:09:54.567,43735124.0,,,,,1.0,387176.0,2023-09-27 21:55:42.000,64813.0,2.0,,,,,,,,,,,,,,,,,, +13,SymPy,sympy/sympy,others,,https://github.com/sympy/sympy,https://github.com/sympy/sympy,BSD-3-Clause,2010-04-30 20:37:14.000,2023-11-16 13:31:53.000000,2023-11-14 19:38:48,56616.0,1027.0,3997.0,290.0,12771.0,4826.0,8560.0,11539.0,A computer algebra system written in pure Python.,1259.0,47,True,2023-05-10 18:09:23.000,sympy-1.12,50.0,sympy,conda-forge/sympy,,,,97861.0,93105.0,https://pypi.org/project/sympy,10072453.0,10128925.0,https://anaconda.org/conda-forge/sympy,2023-06-16 13:17:18.981,4704106.0,,,,,1.0,521536.0,2023-05-10 18:24:09.226,4756.0,,,,,,,,,,,,,,,,,,, +14,Pillow,python-pillow/Pillow,image,,https://github.com/python-pillow/Pillow,https://github.com/python-pillow/Pillow,PIL,2012-07-24 21:38:39.000,2023-11-16 12:06:08.000000,2023-11-14 12:46:45,16488.0,363.0,1931.0,225.0,4466.0,79.0,2869.0,11234.0,Python Imaging Library (Fork).,449.0,47,True,2023-10-15 13:05:17.000,10.1.0,53.0,Pillow,conda-forge/pillow,,,,1421793.0,1421793.0,https://pypi.org/project/Pillow,74215001.0,75085259.0,https://anaconda.org/conda-forge/pillow,2023-10-16 03:42:18.439,34810353.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +15,jax,google/jax,ml-frameworks,,https://github.com/google/jax,https://github.com/google/jax,Apache-2.0,2018-10-25 21:25:02.000,2023-11-16 09:24:00.000000,2023-11-16 09:23:56,18248.0,1143.0,2286.0,316.0,11586.0,1175.0,3503.0,25551.0,"Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more.",597.0,45,True,2023-11-02 23:29:45.000,jax-v0.4.20,89.0,jax,conda-forge/jaxlib,,,,19268.0,19268.0,https://pypi.org/project/jax,12055056.0,12079213.0,https://anaconda.org/conda-forge/jaxlib,2023-10-25 14:41:56.031,990458.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +16,pytorch-lightning,Lightning-AI/lightning,ml-frameworks,,https://github.com/Lightning-AI/lightning,https://github.com/Lightning-AI/lightning,Apache-2.0,2019-03-31 00:45:57.000,2023-11-16 13:04:45.000000,2023-11-16 04:15:01,9913.0,330.0,2988.0,244.0,9667.0,664.0,5930.0,25140.0,"Deep learning framework to train, deploy, and ship AI products Lightning fast.",912.0,45,True,2023-11-15 20:56:33.000,2.1.2,103.0,pytorch-lightning,conda-forge/pytorch-lightning,,,['pytorch'],26010.0,26010.0,https://pypi.org/project/pytorch-lightning,4410406.0,4435453.0,https://anaconda.org/conda-forge/pytorch-lightning,2023-10-12 22:54:18.350,1009537.0,,,,,1.0,13600.0,,,,,,,,,,,,,,,,,,,,, +17,PaddlePaddle,PaddlePaddle/Paddle,ml-frameworks,,https://github.com/PaddlePaddle/Paddle,https://github.com/PaddlePaddle/Paddle,Apache-2.0,2016-08-15 06:59:08.000,2023-11-16 14:00:23.000000,2023-11-16 13:51:17,44794.0,1670.0,5163.0,727.0,41361.0,1079.0,16418.0,21012.0,PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice &.,1133.0,45,True,2023-07-25 11:09:59.000,2.5.0,60.0,paddlepaddle,,,,['paddle'],4265.0,4265.0,https://pypi.org/project/paddlepaddle,174892.0,175068.0,,,,,,,,1.0,15368.0,,,,,,,,,,,,,,,,,,,,, +18,Ray,ray-project/ray,distributed-ml,,https://github.com/ray-project/ray,https://github.com/ray-project/ray,Apache-2.0,2016-10-25 19:38:30.000,2023-11-16 14:01:55.000000,2023-11-16 13:47:09,19838.0,1123.0,4742.0,468.0,25024.0,3301.0,12816.0,28653.0,Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a..,940.0,44,True,2023-11-03 00:55:09.000,ray-2.8.0,93.0,ray,conda-forge/ray-tune,,,,12713.0,12284.0,https://pypi.org/project/ray,2496231.0,2501193.0,https://anaconda.org/conda-forge/ray-tune,2023-11-15 20:08:23.496,173666.0,,,,,1.0,113.0,2023-11-03 00:48:02.000,429.0,,,,,,,,,,,,,,,,,,, +19,spaCy,explosion/spaCy,nlp,,https://github.com/explosion/spaCy,https://github.com/explosion/spaCy,MIT,2014-07-03 15:15:40.000,2023-11-15 08:44:20.000000,2023-11-10 07:05:07,16071.0,70.0,4233.0,567.0,3914.0,93.0,5426.0,27575.0,Industrial-strength Natural Language Processing (NLP) in Python.,743.0,44,True,2023-10-16 16:11:22.000,3.7.2,226.0,spacy,conda-forge/spacy,,,,76870.0,73995.0,https://pypi.org/project/spacy,6652579.0,6732697.0,https://anaconda.org/conda-forge/spacy,2023-11-05 20:08:03.012,3284858.0,,,,,1.0,,2023-10-16 16:09:47.000,2875.0,,,,,,,,,,,,,,,,,,, +20,XGBoost,dmlc/xgboost,ml-frameworks,,https://github.com/dmlc/xgboost,https://github.com/dmlc/xgboost,Apache-2.0,2014-02-06 17:28:03.000,2023-11-16 10:16:00.000000,2023-11-16 10:15:59,6637.0,128.0,8118.0,914.0,4795.0,332.0,4652.0,24985.0,"Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and..",630.0,44,True,2023-11-09 20:24:31.000,2.0.2,55.0,xgboost,conda-forge/xgboost,,https://xgboost.readthedocs.io/en/latest/,,72065.0,72065.0,https://pypi.org/project/xgboost,11417165.0,11527023.0,https://anaconda.org/conda-forge/xgboost,2023-10-24 05:08:56.957,4391756.0,,,,,2.0,7639.0,,,,,,,,,,,,,,,,,,,,, +21,mlflow,mlflow/mlflow,ml-experiments,,https://github.com/mlflow/mlflow,https://github.com/mlflow/mlflow,Apache-2.0,2018-06-05 16:05:58.000,2023-11-16 12:15:22.000000,2023-11-16 10:59:49,5029.0,502.0,3696.0,291.0,6941.0,1279.0,2256.0,15822.0,Open source platform for the machine learning lifecycle.,670.0,44,True,2023-11-16 02:55:35.000,2.8.1,84.0,mlflow,conda-forge/mlflow,,,,26568.0,26060.0,https://pypi.org/project/mlflow,14269270.0,14309535.0,https://anaconda.org/conda-forge/mlflow,2023-10-29 23:48:54.745,1650893.0,,,,,1.0,,2023-11-16 02:08:43.000,508.0,,,,,,,,,,,,,,,,,,, +22,Plotly,plotly/plotly.py,data-viz,,https://github.com/plotly/plotly.py,https://github.com/plotly/plotly.py,MIT,2013-11-21 05:53:08.000,2023-11-15 21:49:36.000000,2023-11-15 15:53:28,6241.0,73.0,2384.0,279.0,1570.0,1385.0,1360.0,14401.0,The interactive graphing library for Python This project now includes Plotly Express!.,249.0,44,True,2023-10-25 19:52:56.000,5.18.0,97.0,plotly,conda-forge/plotly,,,,216277.0,216277.0,https://pypi.org/project/plotly,11303664.0,11470318.0,https://anaconda.org/conda-forge/plotly,2023-10-25 22:33:48.925,5063558.0,,,,,1.0,,,,,plotlywidget,https://www.npmjs.com/package/plotlywidget,46094.0,,,,,,,,,,,,,,, +23,networkx,networkx/networkx,graph,,https://github.com/networkx/networkx,https://github.com/networkx/networkx,BSD-3-Clause,2010-09-06 00:53:44.000,2023-11-16 13:12:39.000000,2023-11-16 13:12:39,7508.0,148.0,3095.0,276.0,3545.0,397.0,2900.0,13435.0,Network Analysis in Python.,693.0,44,True,2023-10-28 09:53:23.000,networkx-3.2.1,92.0,networkx,conda-forge/networkx,,,,214806.0,199954.0,https://pypi.org/project/networkx,34155301.0,34517995.0,https://anaconda.org/conda-forge/networkx,2023-10-28 14:55:59.129,14145080.0,,,,,1.0,65.0,2023-10-28 08:41:36.000,14852.0,,,,,,,,,,,,,,,,,,, +24,Bokeh,bokeh/bokeh,data-viz,,https://github.com/bokeh/bokeh,https://github.com/bokeh/bokeh,BSD-3-Clause,2012-03-26 15:40:01.000,2023-11-16 12:19:08.000000,2023-11-08 23:32:52,20299.0,108.0,4043.0,444.0,5877.0,743.0,6734.0,18295.0,"Interactive Data Visualization in the browser, from Python.",675.0,43,True,,,55.0,bokeh,conda-forge/bokeh,,,,79265.0,79265.0,https://pypi.org/project/bokeh,3584678.0,3903721.0,https://anaconda.org/conda-forge/bokeh,2023-11-09 21:55:31.595,13080768.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +25,onnx,onnx/onnx,model-serialisation,,https://github.com/onnx/onnx,https://github.com/onnx/onnx,Apache-2.0,2017-09-07 04:53:45.000,2023-11-16 12:07:31.000000,2023-11-16 11:26:49,2597.0,121.0,3601.0,438.0,3024.0,301.0,2282.0,15881.0,Open standard for machine learning interoperability.,299.0,43,True,2023-10-31 17:04:56.000,1.15.0,31.0,onnx,conda-forge/onnx,,,,21233.0,20602.0,https://pypi.org/project/onnx,4270244.0,4291947.0,https://anaconda.org/conda-forge/onnx,2023-11-07 18:53:33.533,878947.0,,,,,1.0,19488.0,2023-10-26 18:30:51.000,631.0,,,,,,,,,,,,,,,,,,, +26,LightGBM,microsoft/LightGBM,ml-frameworks,,https://github.com/microsoft/LightGBM,https://github.com/microsoft/LightGBM,MIT,2016-08-05 05:45:50.000,2023-11-16 13:56:53.000000,2023-11-16 04:10:54,3376.0,58.0,3771.0,441.0,3025.0,316.0,2859.0,15646.0,"A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision..",290.0,43,True,2023-09-12 02:08:33.000,4.1.0,34.0,lightgbm,conda-forge/lightgbm,,,,27755.0,26949.0,https://pypi.org/project/lightgbm,6798032.0,6856232.0,https://anaconda.org/conda-forge/lightgbm,2023-10-25 14:14:10.430,2112390.0,,,,,2.0,206322.0,2023-09-12 02:08:33.000,806.0,,,,,,,,,,,,,,,,,,, +27,dask,dask/dask,distributed-ml,,https://github.com/dask/dask,https://github.com/dask/dask,BSD-3-Clause,2015-01-04 18:50:00.000,2023-11-16 10:47:36.000000,2023-11-10 21:33:39,7909.0,68.0,1658.0,212.0,5507.0,1001.0,4043.0,11523.0,Parallel computing with task scheduling.,589.0,43,True,2023-11-10 21:36:00.000,2023.11.0,184.0,dask,conda-forge/dask,,,,57465.0,54420.0,https://pypi.org/project/dask,7009225.0,7258582.0,https://anaconda.org/conda-forge/dask,2023-11-10 23:54:07.170,10473012.0,,,,,1.0,,2023-11-10 21:36:00.000,3045.0,,,,,stable/dask,,,,,,,,,,,,,, +28,Seaborn,mwaskom/seaborn,data-viz,,https://github.com/mwaskom/seaborn,https://github.com/mwaskom/seaborn,BSD-3-Clause,2012-06-18 18:41:19.000,2023-11-15 16:51:26.000000,2023-11-07 12:02:40,3199.0,42.0,1812.0,257.0,1061.0,115.0,2310.0,11350.0,Statistical data visualization in Python.,202.0,43,True,2023-09-29 19:01:44.000,0.13.0,35.0,seaborn,conda-forge/seaborn,,,,335845.0,324628.0,https://pypi.org/project/seaborn,12459901.0,12650299.0,https://anaconda.org/conda-forge/seaborn,2023-10-02 16:03:37.621,7806241.0,,,,,1.0,301.0,2023-09-29 18:58:33.000,11217.0,,,,,,,,,,,,,,,,,,, +29,StatsModels,statsmodels/statsmodels,ml-frameworks,,https://github.com/statsmodels/statsmodels,https://github.com/statsmodels/statsmodels,BSD-3-Clause,2011-06-12 17:04:50.000,2023-11-08 17:58:10.000000,2023-10-29 06:30:59,15118.0,20.0,2596.0,278.0,3814.0,2532.0,2714.0,9027.0,Statsmodels: statistical modeling and econometrics in Python.,416.0,43,True,2023-05-05 10:52:12.000,0.14.0,25.0,statsmodels,conda-forge/statsmodels,,,,107256.0,107256.0,https://pypi.org/project/statsmodels,11463101.0,11752265.0,https://anaconda.org/conda-forge/statsmodels,2023-10-05 23:45:15.777,11855740.0,,,,,2.0,29.0,,,,,,,,,,,,,,,,,,,,, +30,Tensorboard,tensorflow/tensorboard,ml-experiments,,https://github.com/tensorflow/tensorboard,https://github.com/tensorflow/tensorboard,Apache-2.0,2017-05-15 20:08:07.000,2023-11-16 00:22:07.000000,2023-11-15 23:17:02,5719.0,87.0,1620.0,196.0,4858.0,646.0,1215.0,6399.0,TensorFlows Visualization Toolkit.,309.0,43,True,2023-11-02 20:49:50.000,2.15.1,56.0,tensorboard,conda-forge/tensorboard,,,['tensorflow'],201375.0,198516.0,https://pypi.org/project/tensorboard,21636928.0,21744666.0,https://anaconda.org/conda-forge/tensorboard,2023-11-03 15:31:12.158,4417286.0,,,,,1.0,,2023-11-02 20:49:50.000,2859.0,,,,,,,,,,,,,,,,,,, +31,Gradio,gradio-app/gradio,others,,https://github.com/gradio-app/gradio,https://github.com/gradio-app/gradio,Apache-2.0,2018-12-19 08:24:04.000,2023-11-16 14:47:10.000000,2023-11-16 14:45:48,5917.0,370.0,1664.0,140.0,2908.0,443.0,2737.0,23480.0,"Wrap UIs around any model, share with anyone.",223.0,42,True,2023-11-14 03:23:00.000,4.3.0,528.0,gradio,,,,,17209.0,16996.0,https://pypi.org/project/gradio,2966262.0,2966262.0,,,,,,,,1.0,,2023-11-14 03:23:00.000,213.0,,,,,,,,,,,,,,,,,,, +32,torchvision,pytorch/vision,image,,https://github.com/pytorch/vision,https://github.com/pytorch/vision,BSD-3-Clause,2016-11-09 23:11:43.000,2023-11-16 11:34:33.000000,2023-11-14 17:33:48,3735.0,111.0,6818.0,398.0,5076.0,945.0,2276.0,14782.0,"Datasets, Transforms and Models specific to Computer Vision.",558.0,42,True,2023-11-15 22:18:12.000,0.16.1,39.0,torchvision,conda-forge/torchvision,,,['pytorch'],4805.0,21.0,https://pypi.org/project/torchvision,9281671.0,9310983.0,https://anaconda.org/conda-forge/torchvision,2023-11-13 09:15:21.265,924561.0,,,,,1.0,33233.0,2023-11-15 16:45:49.000,4784.0,,,,,,,,,,,,,,,,,,, +33,pydeck,visgl/deck.gl,geospatial-data,,https://github.com/visgl/deck.gl,https://github.com/visgl/deck.gl,MIT,2015-12-15 08:38:29.000,2023-11-16 10:20:38.000000,2023-11-16 10:20:27,4574.0,81.0,2047.0,1697.0,4412.0,266.0,2555.0,11316.0,WebGL2 powered visualization framework.,239.0,42,True,2023-10-24 16:58:59.931,8.9.32,620.0,pydeck,conda-forge/pydeck,,,['jupyter'],7269.0,6751.0,https://pypi.org/project/pydeck,1737338.0,2232270.0,https://anaconda.org/conda-forge/pydeck,2023-06-16 19:17:51.392,461698.0,,,,,1.0,,2023-04-15 06:29:01.705,48.0,,deck.gl,https://www.npmjs.com/package/deck.gl,484673.0,,2023-11-14 10:33:47.834,470.0,,,,,,,,,,,, +34,Altair,altair-viz/altair,data-viz,,https://github.com/altair-viz/altair,https://github.com/altair-viz/altair,BSD-3-Clause,2015-09-19 03:14:04.000,2023-11-16 08:53:37.000000,2023-11-14 20:33:02,3597.0,55.0,761.0,144.0,1297.0,185.0,1719.0,8549.0,Declarative statistical visualization library for Python.,158.0,42,True,2023-10-03 18:18:45.000,5.1.2,38.0,altair,conda-forge/altair,,,,87150.0,86528.0,https://pypi.org/project/altair,14076925.0,14167882.0,https://anaconda.org/conda-forge/altair,2023-10-03 20:26:07.376,2091997.0,,,,,1.0,89.0,2023-10-03 17:40:10.000,622.0,,,,,,,,,,,,,,,,,,, +35,scikit-image,scikit-image/scikit-image,image,,https://github.com/scikit-image/scikit-image,https://github.com/scikit-image/scikit-image,,2011-07-07 22:07:20.000,2023-11-16 14:01:34.000000,2023-11-14 20:22:20,13775.0,108.0,2214.0,185.0,4310.0,742.0,2023.0,5668.0,Image processing in Python.,637.0,42,False,2023-10-03 21:36:37.000,0.22.0,59.0,scikit-image,conda-forge/scikit-image,,,,170482.0,160174.0,https://pypi.org/project/scikit-image,9618317.0,9759671.0,https://anaconda.org/conda-forge/scikit-image,2023-10-11 16:58:18.971,5795535.0,,,,,1.0,,2023-10-03 21:35:27.000,10308.0,,,,,,,,,,,,,,,,,,, +36,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,,8561.0,1068.0,1449.0,69.0,1716.0,33061.0,A toolkit for developing and comparing reinforcement learning algorithms.,384.0,41,True,2023-07-20 15:30:49.667,0.0.1,108.0,gym,conda-forge/gym,,,,50052.0,47371.0,https://pypi.org/project/gym,619478.0,625451.0,https://anaconda.org/conda-forge/gym,2023-06-16 19:18:41.854,256871.0,,,,,1.0,,2022-10-04 23:58:42.348,2681.0,,,,,,,,,,,,,,,,,,, +37,DeepSpeed,microsoft/DeepSpeed,distributed-ml,,https://github.com/microsoft/DeepSpeed,https://github.com/microsoft/DeepSpeed,Apache-2.0,2020-01-23 18:35:18.000,2023-11-16 12:44:48.000000,2023-11-15 19:38:27,1953.0,218.0,3589.0,308.0,2293.0,832.0,1431.0,29585.0,"DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and..",262.0,41,True,2023-11-13 17:54:24.000,0.12.3,78.0,deepspeed,,deepspeed/deepspeed,,['pytorch'],4885.0,4799.0,https://pypi.org/project/deepspeed,411164.0,411539.0,,,,https://hub.docker.com/r/deepspeed/deepspeed,2022-09-02 00:25:31.275782,4.0,17285.0,1.0,,2023-11-13 17:54:24.000,86.0,,,,,,,,,,,,,,,,,,, +38,Streamlit,streamlit/streamlit,others,,https://github.com/streamlit/streamlit,https://github.com/streamlit/streamlit,Apache-2.0,2019-08-24 00:14:52.000,2023-11-16 07:59:49.000000,2023-11-15 23:43:14,5936.0,252.0,2530.0,306.0,3906.0,694.0,3048.0,28490.0,Streamlit A faster way to build and share data apps.,204.0,41,True,2023-11-13 20:42:41.000,1.28.2,211.0,streamlit,,,,,1183.0,,https://pypi.org/project/streamlit,2713094.0,2713094.0,,,,,,,,1.0,,2023-11-13 20:42:32.000,1183.0,,,,,,,,,,,,,,,,,,, +39,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 05:51:12.000,2023-11-13 08:01:16.000000,2023-11-08 18:18:59,2071.0,108.0,4267.0,308.0,413.0,69.0,747.0,27618.0,"PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT),..",122.0,41,True,2023-11-04 15:23:03.000,0.9.10,52.0,timm,conda-forge/timm,,,['pytorch'],18629.0,18629.0,https://pypi.org/project/timm,3487086.0,3596627.0,https://anaconda.org/conda-forge/timm,2023-11-06 16:38:30.168,111856.0,,,,,1.0,5764246.0,,,,,,,,,,huggingface/pytorch-image-models,,,,,,,,,,, +40,Milvus,milvus-io/milvus,nn-search,,https://github.com/milvus-io/milvus,https://github.com/milvus-io/milvus,Apache-2.0,2019-09-16 06:43:43.000,2023-11-16 13:36:44.000000,2023-11-16 12:34:41,18424.0,649.0,2451.0,348.0,17631.0,674.0,8851.0,24097.0,"A cloud-native vector database, storage for next generation AI applications.",259.0,41,True,2023-11-14 10:46:35.000,2.2.15,100.0,pymilvus,,milvusdb/milvus,,,67.0,,https://pypi.org/project/pymilvus,498506.0,655839.0,,,,https://hub.docker.com/r/milvusdb/milvus,2023-11-16 13:22:14.391630,37.0,7651448.0,1.0,51669.0,2023-11-14 09:49:05.000,67.0,,,,,,,,,,,,,,,,,,, +41,shap,slundberg/shap,interpretability,,https://github.com/shap/shap,https://github.com/shap/shap,MIT,2016-11-22 19:17:08.000,2023-11-16 13:54:27.000000,2023-11-04 16:10:10,2560.0,88.0,3019.0,258.0,757.0,1412.0,932.0,20454.0,A game theoretic approach to explain the output of any machine learning model.,226.0,41,True,2023-10-09 10:28:05.000,0.43.0,99.0,shap,conda-forge/shap,,,,14715.0,14285.0,https://pypi.org/project/shap,7240501.0,7303596.0,https://anaconda.org/conda-forge/shap,2023-10-09 21:10:21.871,2208353.0,,,,,1.0,,2023-10-09 10:28:05.000,430.0,,,,,,,,shap/shap,,,,,,,,,,, +42,gensim,RaRe-Technologies/gensim,nlp,,https://github.com/piskvorky/gensim,https://github.com/piskvorky/gensim,LGPL-2.1,2011-02-10 07:43:04.000,2023-11-01 12:33:08.000000,2023-10-01 14:51:00,4509.0,38.0,4148.0,433.0,1681.0,375.0,1444.0,14781.0,Topic Modelling for Humans.,447.0,41,True,2023-08-24 08:44:46.000,4.3.2,43.0,gensim,conda-forge/gensim,,,,52348.0,52348.0,https://pypi.org/project/gensim,3878553.0,3915317.0,https://anaconda.org/conda-forge/gensim,2023-08-24 12:30:21.806,1174952.0,,,,,1.0,4532.0,,,,,,,,,,piskvorky/gensim,,,,,,,,,,, +43,nltk,nltk/nltk,nlp,,https://github.com/nltk/nltk,https://github.com/nltk/nltk,Apache-2.0,2009-09-07 10:53:58.000,2023-11-09 20:19:23.000000,2023-11-09 20:19:22,14452.0,7.0,2680.0,465.0,1433.0,249.0,1493.0,12521.0,Suite of libraries and programs for symbolic and statistical natural language processing for English.,444.0,41,True,,,17.0,nltk,conda-forge/nltk,,,,231521.0,231521.0,https://pypi.org/project/nltk,12667122.0,12694103.0,https://anaconda.org/conda-forge/nltk,2023-06-16 13:20:53.756,2347373.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,, +44,DVC,iterative/dvc,ml-experiments,,https://github.com/iterative/dvc,https://github.com/iterative/dvc,Apache-2.0,2017-03-04 08:16:33.000,2023-11-15 14:31:00.000000,2023-11-15 14:28:17,9065.0,133.0,1117.0,136.0,5245.0,585.0,3937.0,12398.0,ML Experiments Management with Git.,289.0,41,True,2023-11-15 14:31:00.000,3.30.0,485.0,dvc,conda-forge/dvc,,,,10611.0,10526.0,https://pypi.org/project/dvc,871765.0,917216.0,https://anaconda.org/conda-forge/dvc,2023-11-14 11:24:20.839,1729271.0,,,,,1.0,42562.0,2023-11-15 14:31:00.000,85.0,,,,,,,,,dvc,dvc,dvc,,,,,,,, +45,wandb client,wandb/client,ml-experiments,,https://github.com/wandb/wandb,https://github.com/wandb/wandb,MIT,2017-03-24 05:46:23.000,2023-11-16 08:42:14.000000,2023-11-16 00:01:33,5947.0,258.0,549.0,54.0,3768.0,774.0,2062.0,7458.0,A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.,167.0,41,True,2023-11-07 21:04:35.000,0.16.0,265.0,wandb,conda-forge/wandb,,,,33343.0,32711.0,https://pypi.org/project/wandb,8058780.0,8069342.0,https://anaconda.org/conda-forge/wandb,2023-10-04 19:30:33.577,422483.0,,,,,1.0,,2023-11-07 21:01:39.000,632.0,,,,,,,,wandb/wandb,,,,,,,,,,, +46,Catboost,catboost/catboost,ml-frameworks,,https://github.com/catboost/catboost,https://github.com/catboost/catboost,Apache-2.0,2017-07-18 05:29:04.000,2023-11-16 13:47:42.000000,2023-11-16 13:47:35,46860.0,527.0,1139.0,198.0,371.0,520.0,1630.0,7456.0,"A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification,..",1188.0,41,True,2023-09-19 20:01:10.000,1.2.2,109.0,catboost,conda-forge/catboost,,,,346.0,11.0,https://pypi.org/project/catboost,2078549.0,2120606.0,https://anaconda.org/conda-forge/catboost,2023-09-19 20:23:11.996,1419928.0,,,,,2.0,193545.0,2023-09-19 18:13:58.000,335.0,,,,,,,,,,,,,,,,,,, +47,Fastai,fastai/fastai,ml-frameworks,,https://github.com/fastai/fastai,https://github.com/fastai/fastai,Apache-2.0,2017-09-09 17:43:36.000,2023-11-16 13:40:29.000000,2023-11-01 22:40:55,2729.0,39.0,7453.0,614.0,2205.0,183.0,1580.0,24790.0,The fastai deep learning library.,662.0,40,True,2023-10-15 04:04:44.000,2.7.13,147.0,fastai,,,,['pytorch'],15604.0,15266.0,https://pypi.org/project/fastai,448239.0,448239.0,,,,,,,,2.0,,2023-10-15 04:04:44.000,338.0,,,,,,,,,,,,,,,,,,, +48,dash,plotly/dash,data-viz,,https://github.com/plotly/dash,https://github.com/plotly/dash,MIT,2015-04-10 01:53:08.000,2023-11-15 01:09:43.000000,2023-10-26 19:38:28,7069.0,85.0,1936.0,412.0,1003.0,764.0,837.0,19635.0,Data Apps & Dashboards for Python. No JavaScript Required.,142.0,40,True,2023-10-26 20:29:58.000,2.14.1,173.0,dash,conda-forge/dash,,,,55662.0,54233.0,https://pypi.org/project/dash,2224334.0,2252384.0,https://anaconda.org/conda-forge/dash,2023-10-27 05:04:11.728,1150087.0,,,,,1.0,,2023-10-26 20:27:41.000,1429.0,,,,,,,,,,,,,,,,,,, +49,Jina,jina-ai/jina,ml-frameworks,,https://github.com/jina-ai/jina,https://github.com/jina-ai/jina,Apache-2.0,2020-02-13 17:04:44.000,2023-11-15 15:32:02.454965,2023-11-15 15:11:25,8492.0,66.0,2157.0,206.0,4136.0,18.0,1901.0,19334.0,Build multimodal AI applications with cloud-native stack.,177.0,40,True,2023-10-31 14:36:40.000,3.22.4,2436.0,jina,conda-forge/jina-core,jinaai/jina,,,1307.0,1291.0,https://pypi.org/project/jina,86153.0,116363.0,https://anaconda.org/conda-forge/jina-core,2023-06-16 19:27:18.682,57766.0,https://hub.docker.com/r/jinaai/jina,2023-11-15 15:32:02.454965,8.0,1259505.0,2.0,,2023-11-03 05:21:06.000,16.0,,,,,,,,,,,,,,,,,,, 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20:05:00.841,19.24.2,34.0,dlib,conda-forge/dlib,,,,23906.0,23112.0,https://pypi.org/project/dlib,147030.0,162732.0,https://anaconda.org/conda-forge/dlib,2023-10-17 10:36:07.545,633559.0,,,,,2.0,25336.0,2022-05-08 14:40:14.000,794.0,,,,,,,,,,,,,,,,,,, +52,PyMC3,pymc-devs/pymc,probabilistics,,https://github.com/pymc-devs/pymc,https://github.com/pymc-devs/pymc,Apache-2.0,2009-05-05 09:43:50.000,2023-11-16 10:11:50.000000,2023-11-14 16:39:39,9683.0,70.0,1800.0,231.0,3755.0,207.0,2935.0,7872.0,Bayesian Modeling in Python with MCMC and VI.,471.0,40,True,2023-11-12 10:34:43.000,5.9.2,73.0,pymc3,conda-forge/pymc3,,,,2526.0,2277.0,https://pypi.org/project/pymc3,504214.0,510629.0,https://anaconda.org/conda-forge/pymc3,2023-06-16 13:23:30.938,543855.0,,,,,1.0,1929.0,2022-03-15 10:10:19.000,249.0,,,,,,,,,,,,,,,,,,, +53,GeoPandas,geopandas/geopandas,geospatial-data,,https://github.com/geopandas/geopandas,https://github.com/geopandas/geopandas,BSD-3-Clause,2013-06-27 17:03:47.000,2023-11-16 09:35:49.000000,2023-11-13 11:15:54,1828.0,49.0,895.0,106.0,1474.0,449.0,1152.0,3926.0,Python tools for geographic data.,213.0,40,True,2023-11-11 09:30:40.000,0.14.1,50.0,geopandas,conda-forge/geopandas,,,['pandas'],29665.0,27914.0,https://pypi.org/project/geopandas,6588594.0,6669059.0,https://anaconda.org/conda-forge/geopandas,2023-11-11 14:20:49.573,3298060.0,,,,,1.0,2217.0,2023-11-11 09:30:36.000,1751.0,,,,,,,,,,,,,,,,,,, +54,dask.distributed,dask/distributed,distributed-ml,,https://github.com/dask/distributed,https://github.com/dask/distributed,BSD-3-Clause,2015-09-13 18:42:29.000,2023-11-16 13:34:09.000000,2023-11-16 13:20:34,5595.0,138.0,705.0,57.0,4819.0,1451.0,2274.0,1496.0,A distributed task scheduler for Dask.,318.0,40,True,2023-11-10 21:36:09.000,2023.11.0,216.0,distributed,conda-forge/distributed,,,,32644.0,31343.0,https://pypi.org/project/distributed,4516307.0,4816511.0,https://anaconda.org/conda-forge/distributed,2023-11-10 22:39:02.890,12608596.0,,,,,1.0,,2023-11-10 21:36:09.000,1301.0,,,,,,,,,,,,,,,,,,, +55,MMDetection,open-mmlab/mmdetection,image,,https://github.com/open-mmlab/mmdetection,https://github.com/open-mmlab/mmdetection,Apache-2.0,2018-08-22 07:06:06.000,2023-11-16 06:50:19.000000,2023-10-12 07:43:04,2677.0,40.0,9005.0,376.0,3075.0,1203.0,6575.0,26112.0,OpenMMLab Detection Toolbox and Benchmark.,466.0,39,True,2023-10-12 07:46:52.000,3.2.0,52.0,mmdet,,,,['pytorch'],1931.0,1900.0,https://pypi.org/project/mmdet,167463.0,167463.0,,,,,,,,1.0,,2023-10-12 07:46:52.000,31.0,,,,,,,,,,,,,,,,,,, +56,dgl,dmlc/dgl,graph,,https://github.com/dmlc/dgl,https://github.com/dmlc/dgl,Apache-2.0,2018-04-20 14:49:09.000,2023-11-16 10:51:38.000000,2023-11-16 10:51:38,3586.0,271.0,2884.0,171.0,4140.0,417.0,2107.0,12435.0,"Python package built to ease deep learning on graph, on top of existing DL frameworks.",281.0,39,True,2023-08-15 07:31:40.000,1.1.2,448.0,dgl,,,,,237.0,161.0,https://pypi.org/project/dgl,67025.0,67025.0,,,,,,,,1.0,,2023-08-30 08:45:26.000,76.0,,,,,,,,,,,,,,,,,,, +57,Optuna,optuna/optuna,hyperopt,,https://github.com/optuna/optuna,https://github.com/optuna/optuna,,2018-02-21 06:12:56.000,2023-11-16 09:38:41.000000,2023-11-16 09:13:30,16778.0,387.0,894.0,122.0,3330.0,115.0,1451.0,8899.0,A hyperparameter optimization framework.,255.0,39,False,2023-10-17 07:05:49.000,3.4.0,61.0,optuna,conda-forge/optuna,,,,11115.0,10691.0,https://pypi.org/project/optuna,2067109.0,2081072.0,https://anaconda.org/conda-forge/optuna,2023-10-20 10:10:01.680,572487.0,,,,,1.0,,2023-10-17 07:05:49.000,424.0,,,,,,,,,,,,,,,,,,, +58,sktime,alan-turing-institute/sktime,time-series-data,,https://github.com/sktime/sktime,https://github.com/sktime/sktime,BSD-3-Clause,2018-11-06 15:08:24.000,2023-11-16 09:14:27.000000,2023-11-15 21:32:48,4060.0,235.0,1170.0,104.0,3167.0,716.0,1306.0,7022.0,A unified framework for machine learning with time series.,304.0,39,True,2023-11-06 00:08:12.000,0.24.1,57.0,sktime,conda-forge/sktime-all-extras,,,['sklearn'],1918.0,1863.0,https://pypi.org/project/sktime,825285.0,858146.0,https://anaconda.org/conda-forge/sktime-all-extras,2023-11-06 08:49:23.870,920102.0,,,,,1.0,84.0,2023-11-06 00:08:12.000,55.0,,,,,,,,sktime/sktime,,,,,,,,,,, +59,folium,python-visualization/folium,geospatial-data,,https://github.com/python-visualization/folium,https://github.com/python-visualization/folium,MIT,2013-05-09 04:21:35.000,2023-11-07 12:59:16.000000,2023-11-07 12:53:58,1758.0,35.0,2233.0,170.0,784.0,65.0,976.0,6472.0,Python Data. Leaflet.js Maps.,156.0,39,True,2023-11-06 17:38:34.000,0.15.0,29.0,folium,conda-forge/folium,,,,31591.0,30789.0,https://pypi.org/project/folium,816294.0,888606.0,https://anaconda.org/conda-forge/folium,2023-11-06 19:27:34.985,2458641.0,,,,,1.0,,2023-11-06 17:38:34.000,802.0,,,,,,,,,,,,,,,,,,, +60,accelerate,huggingface/accelerate,pytorch-utils,,https://github.com/huggingface/accelerate,https://github.com/huggingface/accelerate,Apache-2.0,2020-10-30 13:27:12.000,2023-11-16 10:40:31.000000,2023-11-15 16:29:39,1160.0,120.0,647.0,94.0,1089.0,107.0,963.0,6013.0,"A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision.",192.0,39,True,2023-10-30 14:12:25.000,0.24.1,37.0,accelerate,conda-forge/accelerate,,,['pytorch'],18556.0,18158.0,https://pypi.org/project/accelerate,7364979.0,7368440.0,https://anaconda.org/conda-forge/accelerate,2023-10-30 20:25:30.968,86530.0,,,,,1.0,,2023-10-30 14:11:01.000,398.0,,,,,,,,,,,,,,,,,,, +61,Flax,google/flax,ml-frameworks,,https://github.com/google/flax,https://github.com/google/flax,Apache-2.0,2020-01-10 09:48:37.000,2023-11-15 23:23:37.000000,2023-11-15 23:23:34,3977.0,224.0,527.0,81.0,2051.0,91.0,663.0,4882.0,Flax is a neural network library for JAX that is designed for flexibility.,208.0,39,True,2023-10-28 02:07:21.000,0.7.5,36.0,flax,conda-forge/flax,,,['jax'],4977.0,4977.0,https://pypi.org/project/flax,10093506.0,10094665.0,https://anaconda.org/conda-forge/flax,2023-11-09 02:38:30.298,37063.0,,,,,2.0,50.0,,,,,,,,,,,,,,,,,,,,, +62,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 03:31:13.000,2023-11-16 12:56:16.000000,2023-11-15 21:12:50,17724.0,198.0,1217.0,84.0,7575.0,531.0,4196.0,2401.0,MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python.,357.0,39,True,2023-09-06 17:49:45.000,1.5.1,75.0,mne,conda-forge/mne,,,,3458.0,3177.0,https://pypi.org/project/mne,100189.0,108247.0,https://anaconda.org/conda-forge/mne,2023-09-06 18:39:29.631,338476.0,,,,,1.0,,2023-09-06 17:48:48.000,281.0,,,,,,,,,,,,,,,,,,, +63,PySpark,apache/spark,ml-frameworks,,https://github.com/apache/spark,https://github.com/apache/spark,Apache-2.0,2014-02-25 08:00:08.000,2023-11-16 13:55:35.000000,2023-11-16 13:41:41,38803.0,1018.0,26282.0,2034.0,43813.0,,,37199.0,Apache Spark Python API.,2974.0,38,True,,,33.0,pyspark,conda-forge/pyspark,,,['spark'],,,https://pypi.org/project/pyspark,26587542.0,26659132.0,https://anaconda.org/conda-forge/pyspark,2023-10-04 13:44:45.676,2935219.0,,,,,2.0,,,,-7.0,,,,stable/spark,,,,,,,,,,,,,, +64,PaddleOCR,PaddlePaddle/PaddleOCR,ocr,,https://github.com/PaddlePaddle/PaddleOCR,https://github.com/PaddlePaddle/PaddleOCR,Apache-2.0,2020-05-08 10:38:16.000,2023-11-16 05:31:28.000000,2023-11-16 05:31:28,6115.0,37.0,6693.0,419.0,2771.0,986.0,7245.0,34583.0,"Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages..",184.0,38,True,2023-10-18 12:32:48.000,2.7.1,40.0,paddleocr,,,,['paddle'],2002.0,1972.0,https://pypi.org/project/paddleocr,94859.0,94859.0,,,,,,,,1.0,,2023-09-15 08:35:48.000,30.0,,,,,,,,,,,,,,,,,,, +65,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,,6880.0,1075.0,11124.0,1805.0,7763.0,20644.0,"Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler;..",983.0,38,True,2022-10-24 07:38:03.000,1.9.1,983.0,mxnet,mxnet,,,['mxnet'],7146.0,6851.0,https://pypi.org/project/mxnet,340887.0,341328.0,https://anaconda.org/anaconda/mxnet,2023-06-16 13:24:22.589,10444.0,,,,,2.0,26475.0,2022-05-17 21:11:13.000,290.0,,,,,,,,apache/mxnet,,,,5.0,,,,,,, +66,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 16:03:03.000,2023-11-16 14:19:55.000000,2023-11-16 11:18:37,7101.0,210.0,3425.0,254.0,2520.0,875.0,2486.0,18932.0,Graph Neural Network Library for PyTorch.,463.0,38,True,2023-10-12 08:28:59.000,2.4.0,40.0,torch-geometric,conda-forge/pytorch_geometric,,,['pytorch'],123.0,,https://pypi.org/project/torch-geometric,239570.0,240410.0,https://anaconda.org/conda-forge/pytorch_geometric,2023-11-08 13:56:02.983,33631.0,,,,,1.0,,2023-10-12 08:27:10.000,123.0,,,,,,,,,,,,,,,,,,, +67,yfinance,ranaroussi/yfinance,financial-data,,https://github.com/ranaroussi/yfinance,https://github.com/ranaroussi/yfinance,Apache-2.0,2017-05-21 10:16:15.000,2023-11-15 05:03:57.000000,2023-11-09 20:20:56,1079.0,40.0,2001.0,233.0,477.0,172.0,1017.0,10633.0,Download market data from Yahoo! Finances API.,94.0,38,True,2023-10-04 21:06:36.000,0.2.31,102.0,yfinance,ranaroussi/yfinance,,,,29773.0,29500.0,https://pypi.org/project/yfinance,1038053.0,1040982.0,https://anaconda.org/ranaroussi/yfinance,2023-06-16 19:26:44.442,82019.0,,,,,1.0,,2023-10-04 21:06:36.000,273.0,,,,,,,,,,,,,,,,,,, +68,Theano,Theano/Theano,ml-frameworks,,https://github.com/Theano/Theano,https://github.com/Theano/Theano,BSD-3-Clause,2011-08-10 03:48:06.000,2023-07-01 12:19:02.000000,2022-12-20 16:49:55,28132.0,,2511.0,545.0,4118.0,685.0,2088.0,9806.0,"Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving..",386.0,38,True,2020-07-27 16:13:54.000,1.0.5,45.0,theano,conda-forge/theano,,,,17291.0,14453.0,https://pypi.org/project/theano,300286.0,327366.0,https://anaconda.org/conda-forge/theano,2023-06-16 13:23:49.668,2383123.0,,,,,2.0,,2020-07-27 16:13:54.000,2838.0,4.0,,,,,,,,,,,,,,,,,, +69,Kornia,kornia/kornia,image,,https://github.com/kornia/kornia,https://github.com/kornia/kornia,Apache-2.0,2018-08-22 10:31:37.000,2023-11-15 12:46:26.000000,2023-11-14 09:00:13,2599.0,83.0,877.0,125.0,1692.0,228.0,599.0,8822.0,Geometric Computer Vision Library for AI.,242.0,38,True,2023-08-02 09:57:58.000,0.7.0,36.0,kornia,conda-forge/kornia,,,['pytorch'],7059.0,7059.0,https://pypi.org/project/kornia,2129055.0,2132141.0,https://anaconda.org/conda-forge/kornia,2023-08-04 20:43:55.693,107549.0,,,,,1.0,868.0,,,,,,,,,,,,,,,,,,,,, +70,triton,openai/triton,model-serialisation,,https://github.com/openai/triton,https://github.com/openai/triton,MIT,2014-08-30 17:07:16.000,2023-11-16 07:44:59.000000,2023-11-16 06:46:38,1483.0,299.0,914.0,163.0,1668.0,357.0,532.0,8772.0,Development repository for the Triton language and compiler.,188.0,38,True,2023-09-01 07:26:13.000,2.1.0,191.0,triton,,,,,93.0,21.0,https://pypi.org/project/triton,6824172.0,6824172.0,,,,,,,,1.0,,2023-09-01 07:26:13.000,72.0,-3.0,,,,,,,,,,,,,,,,,, +71,Tokenizers,huggingface/tokenizers,nlp,,https://github.com/huggingface/tokenizers,https://github.com/huggingface/tokenizers,Apache-2.0,2019-11-01 17:52:20.000,2023-11-16 14:00:28.000000,2023-11-15 12:30:58,1743.0,50.0,633.0,119.0,541.0,266.0,580.0,7801.0,Fast State-of-the-Art Tokenizers optimized for Research and Production.,82.0,38,True,2023-11-14 19:06:30.000,0.15.0,81.0,tokenizers,conda-forge/tokenizers,,,,48782.0,48782.0,https://pypi.org/project/tokenizers,15375662.0,15409937.0,https://anaconda.org/conda-forge/tokenizers,2023-11-16 07:53:27.784,1371039.0,,,,,1.0,33.0,,,,,,,,,,,,,,,,,,,,, +72,TensorFlow Datasets,tensorflow/datasets,tensorflow-utils,,https://github.com/tensorflow/datasets,https://github.com/tensorflow/datasets,Apache-2.0,2018-09-10 21:27:22.000,2023-11-15 09:53:16.000000,2023-11-15 09:53:05,6075.0,95.0,1459.0,112.0,4028.0,643.0,700.0,4044.0,"TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...",299.0,38,True,2023-09-08 09:07:53.000,4.9.3,36.0,tensorflow-datasets,conda-forge/tensorflow-datasets,,,['tensorflow'],15307.0,15095.0,https://pypi.org/project/tensorflow-datasets,1907747.0,1908578.0,https://anaconda.org/conda-forge/tensorflow-datasets,2023-06-16 19:25:46.849,24948.0,,,,,1.0,,2023-09-08 09:07:47.000,212.0,,,,,,,,,,,,,,,,,,, +73,Shapely,shapely/shapely,geospatial-data,,https://github.com/shapely/shapely,https://github.com/shapely/shapely,BSD-3-Clause,2011-12-31 19:43:11.000,2023-11-08 03:51:58.000000,2023-10-29 21:14:26,2226.0,23.0,543.0,89.0,763.0,229.0,891.0,3490.0,Manipulation and analysis of geometric objects.,149.0,38,True,2023-10-12 20:37:19.000,2.0.2,121.0,shapely,conda-forge/shapely,,,,57065.0,55992.0,https://pypi.org/project/shapely,16613173.0,16835268.0,https://anaconda.org/conda-forge/shapely,2023-10-13 10:53:16.010,8657568.0,,,,,2.0,2682.0,2023-10-12 20:37:19.000,1073.0,,,,,,,,,,,,,,,,,,, +74,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 01:03:33.000,2023-11-13 22:06:59.000000,2023-11-07 06:46:07,3352.0,132.0,1042.0,135.0,2717.0,489.0,907.0,1953.0,A library for training and deploying machine learning models on Amazon SageMaker.,406.0,38,True,2023-11-07 06:46:16.000,2.197.0,552.0,sagemaker,conda-forge/sagemaker-python-sdk,,,"['mxnet', 'tensorflow']",3318.0,3231.0,https://pypi.org/project/sagemaker,36177568.0,36195348.0,https://anaconda.org/conda-forge/sagemaker-python-sdk,2023-11-07 09:32:41.291,693454.0,,,,,2.0,,2023-11-07 06:46:16.000,87.0,,,,,,,,,,,,,,,,,,, +75,imageio,imageio/imageio,image,,https://github.com/imageio/imageio,https://github.com/imageio/imageio,BSD-2-Clause,2013-05-04 22:56:45.000,2023-11-07 06:44:28.000000,2023-11-07 06:44:27,1514.0,18.0,268.0,32.0,472.0,95.0,485.0,1338.0,Python library for reading and writing image data.,108.0,38,True,2023-11-06 02:23:42.000,2.32.0,87.0,imageio,conda-forge/imageio,,,,109980.0,106932.0,https://pypi.org/project/imageio,17170833.0,17318162.0,https://anaconda.org/conda-forge/imageio,2023-10-09 12:27:51.214,5892616.0,,,,,1.0,890.0,2023-11-06 02:23:38.000,3048.0,,,,,,,,,,,,,,,,,,, +76,Faiss,facebookresearch/faiss,nn-search,,https://github.com/facebookresearch/faiss,https://github.com/facebookresearch/faiss,MIT,2017-02-07 16:07:05.000,2023-11-16 07:46:36.000000,2023-11-15 19:19:02,911.0,41.0,3100.0,469.0,818.0,374.0,1850.0,25394.0,A library for efficient similarity search and clustering of dense vectors.,142.0,37,True,2023-11-14 09:49:05.000,2.2.17,88.0,pymilvus,conda-forge/faiss,,,,3321.0,3254.0,https://pypi.org/project/pymilvus,498506.0,521811.0,https://anaconda.org/conda-forge/faiss,2023-06-16 19:19:09.201,978831.0,,,,,1.0,,2023-11-14 09:49:05.000,67.0,,,,,,,,,,,,,,,,,,, +77,Coqui TTS,coqui-ai/TTS,audio,,https://github.com/coqui-ai/TTS,https://github.com/coqui-ai/TTS,MPL-2.0,2020-05-20 15:45:28.000,2023-11-16 10:01:15.000000,2023-11-16 10:01:11,4567.0,177.0,2466.0,226.0,647.0,39.0,771.0,22392.0,"- a deep learning toolkit for Text-to-Speech, battle-tested in research and production.",154.0,37,True,2023-11-15 14:47:52.000,0.20.5,92.0,tts,conda-forge/tts,,,"['pytorch', 'tensorflow']",604.0,587.0,https://pypi.org/project/tts,91322.0,141989.0,https://anaconda.org/conda-forge/tts,2023-06-16 19:27:41.222,9943.0,,,,,1.0,1608648.0,2023-11-15 14:47:52.000,17.0,2.0,,,,,,,,,,,,,,,,,, +78,pyecharts,pyecharts/pyecharts,data-viz,,https://github.com/pyecharts/pyecharts,https://github.com/pyecharts/pyecharts,MIT,2017-06-22 02:50:25.000,2023-10-28 02:59:49.000000,2023-08-21 03:59:26,1627.0,3.0,2814.0,379.0,456.0,10.0,1786.0,14008.0,Python Echarts Plotting Library.,39.0,37,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'],3836.0,3590.0,https://pypi.org/project/pyecharts,160269.0,160269.0,,,,,,,,2.0,,2023-08-21 03:40:32.000,246.0,,,,,,,,,,,,,,,,,,, +79,flair,flairNLP/flair,nlp,,https://github.com/flairNLP/flair,https://github.com/flairNLP/flair,,2018-06-11 11:04:18.000,2023-11-12 21:18:56.000000,2023-11-12 19:59:18,5761.0,147.0,1705.0,205.0,1163.0,45.0,2166.0,13229.0,A very simple framework for state-of-the-art Natural Language Processing (NLP).,250.0,37,False,2023-10-28 12:19:55.000,0.13.0,24.0,flair,conda-forge/python-flair,,,['pytorch'],2858.0,2858.0,https://pypi.org/project/flair,134733.0,135275.0,https://anaconda.org/conda-forge/python-flair,2023-07-23 11:04:16.024,21711.0,,,,,1.0,,,,-2.0,,,,,,,,,,,,,,,,,, +80,haystack,deepset-ai/haystack,nlp,,https://github.com/deepset-ai/haystack,https://github.com/deepset-ai/haystack,Apache-2.0,2019-11-14 09:05:28.000,2023-11-16 14:38:16.000000,2023-11-16 14:04:50,2791.0,306.0,1466.0,116.0,2961.0,503.0,2232.0,11582.0,"LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models,..",218.0,37,True,2023-11-09 16:44:55.000,1.22.1,70.0,haystack,,,,,1113.0,1026.0,https://pypi.org/project/haystack,2425.0,2425.0,,,,,,,,1.0,23.0,2017-07-03 04:44:52.000,87.0,,,,,,,,,,,,,,,,,,, +81,pandas-profiling,ydataai/pandas-profiling,data-viz,,https://github.com/ydataai/ydata-profiling,https://github.com/ydataai/ydata-profiling,MIT,2016-01-09 23:47:55.000,2023-11-16 10:06:26.000000,2023-11-02 08:01:34,1354.0,24.0,1566.0,150.0,731.0,195.0,547.0,11398.0,1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.,115.0,37,True,2023-10-24 11:33:51.000,4.6.1,52.0,pandas-profiling,conda-forge/pandas-profiling,,,"['jupyter', 'pandas']",1983.0,1790.0,https://pypi.org/project/pandas-profiling,709243.0,713955.0,https://anaconda.org/conda-forge/pandas-profiling,2023-06-16 13:22:30.453,409976.0,,,,,2.0,,2023-02-03 17:59:40.571,193.0,,,,,,,,ydataai/ydata-profiling,,,,,,,,,,, +82,MoviePy,Zulko/moviepy,image,,https://github.com/Zulko/moviepy,https://github.com/Zulko/moviepy,MIT,2013-08-12 09:39:28.000,2023-10-07 03:22:11.000000,2023-07-11 16:23:35,1095.0,,1447.0,250.0,650.0,383.0,1018.0,11083.0,Video editing with Python.,160.0,37,True,2020-05-07 16:29:35.000,1.0.3,85.0,moviepy,conda-forge/moviepy,,,,31685.0,30736.0,https://pypi.org/project/moviepy,709712.0,712571.0,https://anaconda.org/conda-forge/moviepy,2023-06-16 13:23:34.876,217305.0,,,,,2.0,,2021-12-15 14:41:26.454,949.0,,,,,,,,,,,,,,,,,,, +83,PyCaret,pycaret/pycaret,ml-experiments,,https://github.com/pycaret/pycaret,https://github.com/pycaret/pycaret,MIT,2019-11-23 18:40:48.000,2023-11-16 02:21:22.926000,2023-11-12 21:44:14,5034.0,112.0,1687.0,128.0,959.0,309.0,1886.0,7915.0,"An open-source, low-code machine learning library in Python.",129.0,37,True,2023-11-12 21:46:01.000,3.2.0,95.0,pycaret,conda-forge/pycaret,,,,4708.0,4693.0,https://pypi.org/project/pycaret,308449.0,309505.0,https://anaconda.org/conda-forge/pycaret,2023-11-16 02:21:22.926,40589.0,,,,,2.0,671.0,2023-11-12 21:44:47.000,15.0,,,,,,,,,,,,,,,,,,, +84,espnet,espnet/espnet,audio,,https://github.com/espnet/espnet,https://github.com/espnet/espnet,Apache-2.0,2017-12-13 00:45:11.000,2023-11-16 14:08:38.000000,2023-11-16 13:48:40,20032.0,547.0,2010.0,179.0,3157.0,231.0,2032.0,7358.0,End-to-End Speech Processing Toolkit.,398.0,37,True,2023-10-25 11:52:03.000,.202310,51.0,espnet,,,,,268.0,263.0,https://pypi.org/project/espnet,21748.0,21749.0,,,,,,,,1.0,79.0,2023-10-25 11:52:34.000,5.0,,,,,,,,,,,,,,,,,,, +85,speechbrain,speechbrain/speechbrain,audio,,https://github.com/speechbrain/speechbrain,https://github.com/speechbrain/speechbrain,Apache-2.0,2020-04-28 17:48:45.000,2023-11-16 14:20:42.000000,2023-11-16 14:10:36,9586.0,180.0,1143.0,125.0,1024.0,168.0,863.0,6827.0,A PyTorch-based Speech Toolkit.,223.0,37,True,2023-07-22 18:07:47.000,0.5.15,14.0,speechbrain,,,,['pytorch'],1160.0,1146.0,https://pypi.org/project/speechbrain,155335.0,155335.0,,,,,,,,1.0,,2023-07-22 18:08:45.000,14.0,,,,,,,,,,,,,,,,,,, +86,tensorflow-probability,tensorflow/probability,probabilistics,,https://github.com/tensorflow/probability,https://github.com/tensorflow/probability,Apache-2.0,2017-10-23 23:50:54.000,2023-11-15 10:36:45.409000,2023-11-07 21:57:43,12001.0,57.0,1085.0,167.0,457.0,650.0,735.0,3996.0,Probabilistic reasoning and statistical analysis in TensorFlow.,484.0,37,True,2023-10-23 16:42:22.000,0.22.1,50.0,tensorflow-probability,conda-forge/tensorflow-probability,,,['tensorflow'],437.0,,https://pypi.org/project/tensorflow-probability,1295918.0,1299462.0,https://anaconda.org/conda-forge/tensorflow-probability,2023-11-15 10:36:45.409,116952.0,,,,,1.0,,2023-10-23 16:42:22.000,437.0,,,,,,,,,,,,,,,,,,, +87,Rasterio,rasterio/rasterio,geospatial-data,,https://github.com/rasterio/rasterio,https://github.com/rasterio/rasterio,BSD-3-Clause,2013-11-04 16:36:27.000,2023-11-14 22:24:50.000000,2023-11-10 03:40:27,3791.0,20.0,518.0,147.0,1110.0,161.0,1592.0,2046.0,Rasterio reads and writes geospatial raster datasets.,150.0,37,True,2023-10-19 14:09:18.000,1.3.9,153.0,rasterio,conda-forge/rasterio,,,,10389.0,9371.0,https://pypi.org/project/rasterio,2095854.0,2175405.0,https://anaconda.org/conda-forge/rasterio,2023-10-19 11:41:01.295,2704477.0,,,,,2.0,853.0,2023-10-19 14:04:39.000,1018.0,,,,,,,,,,,,,,,,,,, +88,jieba,fxsjy/jieba,chinese-nlp,,https://github.com/fxsjy/jieba,https://github.com/fxsjy/jieba,MIT,2012-09-29 07:52:01.000,2023-06-16 13:21:35.778000,2020-02-15 08:33:35,523.0,,6699.0,1290.0,164.0,662.0,219.0,31532.0,Chinese Words Segmentation Utilities.,49.0,36,False,2020-01-20 14:27:23.000,0.42.1,32.0,jieba,conda-forge/jieba,,,,26641.0,24972.0,https://pypi.org/project/jieba,803927.0,805792.0,https://anaconda.org/conda-forge/jieba,2023-06-16 13:21:35.778,147409.0,,,,,1.0,,2020-01-20 14:27:23.000,1669.0,,,,,,,,,,,,,,,,,,, +89,fairseq,facebookresearch/fairseq,nlp,,https://github.com/facebookresearch/fairseq,https://github.com/facebookresearch/fairseq,MIT,2017-08-29 16:26:12.000,2023-11-15 16:19:41.000000,2023-10-10 17:36:53,2318.0,5.0,5910.0,423.0,1316.0,1027.0,3025.0,28002.0,Facebook AI Research Sequence-to-Sequence Toolkit written in Python.,420.0,36,True,2022-06-27 19:32:58.000,0.12.2,16.0,fairseq,conda-forge/fairseq,,,['pytorch'],2283.0,2283.0,https://pypi.org/project/fairseq,381946.0,383348.0,https://anaconda.org/conda-forge/fairseq,2023-06-16 19:21:01.221,55934.0,,,,,1.0,324.0,,,,,,,,,,,,,,,,,,,,, +90,InsightFace,deepinsight/insightface,image,,https://github.com/deepinsight/insightface,https://github.com/deepinsight/insightface,MIT,2017-09-01 00:36:51.000,2023-11-14 17:36:10.000000,2023-09-10 02:01:49,2281.0,6.0,4780.0,489.0,150.0,975.0,1342.0,18914.0,State-of-the-art 2D and 3D Face Analysis Project.,57.0,36,True,2023-04-02 08:03:01.222,0.7.3,28.0,insightface,,,,['mxnet'],1211.0,1200.0,https://pypi.org/project/insightface,479198.0,622947.0,,,,,,,,2.0,1006244.0,2022-12-17 02:14:00.699,11.0,,,,,,,,,,,,,,,,,,, +91,Prophet,facebook/prophet,time-series-data,,https://github.com/facebook/prophet,https://github.com/facebook/prophet,MIT,2016-11-16 01:50:08.000,2023-11-14 02:28:47.000000,2023-10-18 07:33:05,791.0,16.0,4436.0,426.0,435.0,379.0,1721.0,17158.0,Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear..,173.0,36,True,2023-10-10 12:57:04.000,1.1.5,16.0,fbprophet,conda-forge/prophet,,,,148.0,21.0,https://pypi.org/project/fbprophet,848531.0,884621.0,https://anaconda.org/conda-forge/prophet,2023-10-20 01:36:39.935,1118008.0,,,,,1.0,2128.0,2020-09-05 16:12:50.000,127.0,,,,,,,,,,,,,,,,,,, +92,ivy,unifyai/ivy,ml-frameworks,,https://github.com/unifyai/ivy,https://github.com/unifyai/ivy,Apache-2.0,2021-01-19 08:37:25.000,2023-11-16 12:30:24.000000,2023-11-16 08:42:49,17063.0,1463.0,6000.0,67.0,11087.0,3548.0,13138.0,13771.0,The Unified AI Framework.,1441.0,36,True,2023-06-29 19:33:01.167,0.0.0,103.0,ivy,,,,,9.0,,https://pypi.org/project/ivy,548.0,548.0,,,,,,,,2.0,,2023-10-11 17:04:40.000,9.0,,,,,,,,,,,,,,,,,,, +93,horovod,horovod/horovod,distributed-ml,,https://github.com/horovod/horovod,https://github.com/horovod/horovod,Apache-2.0,2017-08-09 19:39:59.000,2023-11-15 22:11:44.000000,2023-09-18 08:44:36,1331.0,6.0,2216.0,332.0,1576.0,364.0,1846.0,13654.0,"Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.",172.0,36,True,2023-06-12 09:28:02.604,0.28.1,77.0,horovod,,,,,1071.0,1035.0,https://pypi.org/project/horovod,54759.0,54759.0,,,,,,,,2.0,,2023-06-12 09:28:02.604,36.0,,,,,stable/horovod,,,,,,,,,,,,,, +94,Albumentations,albumentations-team/albumentations,image,,https://github.com/albumentations-team/albumentations,https://github.com/albumentations-team/albumentations,MIT,2018-06-06 03:10:50.000,2023-11-10 13:46:57.000000,2023-11-05 20:03:56,785.0,6.0,1529.0,129.0,662.0,372.0,433.0,12804.0,Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation:..,131.0,36,True,2023-06-10 07:46:02.827,1.3.1,53.0,albumentations,conda-forge/albumentations,,,['pytorch'],19075.0,18777.0,https://pypi.org/project/albumentations,1094515.0,1097248.0,https://anaconda.org/conda-forge/albumentations,2023-06-12 13:29:26.010,144889.0,,,,,2.0,,2023-06-10 07:46:02.827,298.0,,,,,,,,,,,,,,,,,,, +95,sentence-transformers,UKPLab/sentence-transformers,nlp,,https://github.com/UKPLab/sentence-transformers,https://github.com/UKPLab/sentence-transformers,Apache-2.0,2019-07-24 10:53:51.000,2023-11-15 21:12:44.000000,2023-09-20 06:17:29,1209.0,7.0,2114.0,125.0,274.0,1029.0,801.0,12386.0,Multilingual Sentence & Image Embeddings with BERT.,115.0,36,True,2022-06-26 19:52:06.000,2.2.2,43.0,sentence-transformers,conda-forge/sentence-transformers,,,['pytorch'],19057.0,18634.0,https://pypi.org/project/sentence-transformers,2944058.0,2948901.0,https://anaconda.org/conda-forge/sentence-transformers,2023-06-16 19:21:44.846,184064.0,,,,,1.0,,2022-06-26 19:50:11.000,423.0,,,,,,,,,,,,,,,,,,, +96,carla,carla-simulator/carla,others,,https://github.com/carla-simulator/carla,https://github.com/carla-simulator/carla,MIT,2017-10-24 09:06:23.000,2023-11-16 13:47:13.000000,2023-11-10 11:25:48,6020.0,41.0,3118.0,236.0,1402.0,943.0,3800.0,9862.0,Open-source simulator for autonomous driving research.,170.0,36,True,2023-11-14 22:51:02.000,0.9.15,26.0,carla,,,,,586.0,580.0,https://pypi.org/project/carla,14855.0,14855.0,,,,,,,,1.0,,2023-11-14 22:51:02.000,6.0,3.0,,,,,,,,,,,,,,,,,, +97,PySyft,OpenMined/PySyft,privacy-ml,,https://github.com/OpenMined/PySyft,https://github.com/OpenMined/PySyft,Apache-2.0,2017-07-18 20:41:16.000,2023-11-16 09:07:27.000000,2023-11-16 06:03:34,25030.0,1259.0,1948.0,200.0,4822.0,164.0,3304.0,9001.0,Perform data science on data that remains in someone elses server.,502.0,36,True,2023-11-15 10:16:44.000,0.8.2,221.0,syft,,,,['pytorch'],5.0,,https://pypi.org/project/syft,7010.0,7024.0,,,,,,,,1.0,684.0,2023-11-15 11:29:36.000,5.0,,,,,,,,,,,,,,,,,,, +98,NeMo,NVIDIA/NeMo,nlp,,https://github.com/NVIDIA/NeMo,https://github.com/NVIDIA/NeMo,Apache-2.0,2019-08-05 20:16:42.000,2023-11-16 10:17:50.000000,2023-11-16 00:56:29,5940.0,226.0,1800.0,173.0,5493.0,35.0,1792.0,8478.0,NeMo: a toolkit for conversational AI.,258.0,36,True,2023-10-25 23:27:38.000,1.21.0,45.0,nemo-toolkit,,,,['pytorch'],21.0,21.0,https://pypi.org/project/nemo-toolkit,38344.0,40235.0,,,,,,,,1.0,94593.0,,,,,,,,,,,,,,,,,,,,, +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 05:08:26.000,2023-11-14 22:20:43.000000,2023-10-23 10:43:57,848.0,4.0,1247.0,141.0,488.0,35.0,538.0,6558.0,A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning.,80.0,36,True,2023-07-08 22:17:53.000,0.11.0,33.0,imbalanced-learn,conda-forge/imbalanced-learn,,,['sklearn'],21966.0,21630.0,https://pypi.org/project/imbalanced-learn,6330566.0,6342873.0,https://anaconda.org/conda-forge/imbalanced-learn,2023-07-08 22:18:55.284,504598.0,,,,,1.0,,2023-07-08 21:51:38.887,336.0,,,,,,,,,,,,,,,,,,, +100,MONAI,Project-MONAI/MONAI,medical-data,,https://github.com/Project-MONAI/MONAI,https://github.com/Project-MONAI/MONAI,Apache-2.0,2019-10-11 16:41:38.000,2023-11-16 09:14:38.000000,2023-11-15 11:00:21,2903.0,107.0,890.0,94.0,3144.0,329.0,2460.0,4824.0,AI Toolkit for Healthcare Imaging.,174.0,36,True,2023-10-12 17:37:33.000,1.3.0,77.0,monai,conda-forge/monai,,,['pytorch'],1533.0,1486.0,https://pypi.org/project/monai,119778.0,120628.0,https://anaconda.org/conda-forge/monai,2023-10-12 17:35:33.024,19551.0,,,,,1.0,,2023-10-12 17:09:21.000,47.0,,,,,,,,,,,,,,,,,,, +101,DeepChem,deepchem/deepchem,others,,https://github.com/deepchem/deepchem,https://github.com/deepchem/deepchem,MIT,2015-09-24 23:20:28.000,2023-11-16 14:22:24.000000,2023-11-10 05:50:16,9624.0,427.0,1502.0,145.0,2036.0,466.0,1208.0,4712.0,"Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology.",229.0,36,True,2022-12-01 14:00:47.111,2.7.1,735.0,deepchem,conda-forge/deepchem,,,['tensorflow'],293.0,282.0,https://pypi.org/project/deepchem,16897.0,19209.0,https://anaconda.org/conda-forge/deepchem,2023-06-16 19:18:02.015,104081.0,,,,,1.0,,2023-11-10 05:55:47.000,11.0,,,,,,,,,,,,,,,,,,, +102,BigDL,intel-analytics/BigDL,distributed-ml,,https://github.com/intel-analytics/BigDL,https://github.com/intel-analytics/BigDL,Apache-2.0,2016-08-29 07:59:50.000,2023-11-16 13:57:28.000000,2023-11-16 13:57:28,20763.0,463.0,1157.0,239.0,7507.0,883.0,1303.0,4523.0,Accelerate LLM with low-bit (FP4 / INT4 / FP8 / INT8) optimizations using bigdl-llm.,193.0,36,True,2023-11-13 02:02:20.000,2.4.0,719.0,bigdl,,,,,51.0,46.0,https://pypi.org/project/bigdl,4077.0,4077.0,,,,,,,,2.0,20.0,2023-11-16 13:44:17.000,1.0,,,,,,,,,,,,,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,,, +103,geopy,geopy/geopy,geospatial-data,,https://github.com/geopy/geopy,https://github.com/geopy/geopy,MIT,2010-03-04 22:05:28.000,2023-11-10 09:46:04.000000,2023-08-27 17:01:46,1130.0,22.0,627.0,90.0,266.0,31.0,251.0,4126.0,Geocoding library for Python.,133.0,36,True,2023-08-27 18:59:34.000,2.4.0,60.0,geopy,conda-forge/geopy,,,,4033.0,,https://pypi.org/project/geopy,4567076.0,4596868.0,https://anaconda.org/conda-forge/geopy,2023-08-27 20:08:56.023,1221502.0,,,,,2.0,4.0,2023-08-27 18:57:29.000,4033.0,,,,,,,,,,,,,,,,,,, +104,spark-nlp,JohnSnowLabs/spark-nlp,nlp,,https://github.com/JohnSnowLabs/spark-nlp,https://github.com/JohnSnowLabs/spark-nlp,Apache-2.0,2017-09-24 19:36:44.000,2023-11-16 14:20:43.000000,2023-11-14 14:50:04,8376.0,85.0,666.0,99.0,13063.0,39.0,793.0,3494.0,State of the Art Natural Language Processing.,108.0,36,True,2023-10-26 20:10:39.000,5.1.4,133.0,spark-nlp,,,,['spark'],386.0,356.0,https://pypi.org/project/spark-nlp,3815248.0,3815248.0,,,,,,,,1.0,,2023-10-26 17:51:05.000,30.0,,,,,,,,,,,,,,,,,,, +105,PyQtGraph,pyqtgraph/pyqtgraph,data-viz,,https://github.com/pyqtgraph/pyqtgraph,https://github.com/pyqtgraph/pyqtgraph,MIT,2013-09-12 07:18:21.000,2023-11-16 13:32:37.000000,2023-11-14 04:09:22,3839.0,68.0,1021.0,154.0,1544.0,357.0,859.0,3461.0,Fast data visualization and GUI tools for scientific / engineering applications.,265.0,36,True,2023-04-14 21:33:03.621,0.13.3,21.0,pyqtgraph,conda-forge/pyqtgraph,,,,9200.0,8247.0,https://pypi.org/project/pyqtgraph,160513.0,166464.0,https://anaconda.org/conda-forge/pyqtgraph,2023-06-16 13:19:32.302,488010.0,,,,,2.0,,2022-09-29 04:05:13.139,953.0,,,,,,,,,,,,,,,,,,, +106,VisPy,vispy/vispy,data-viz,,https://github.com/vispy/vispy,https://github.com/vispy/vispy,BSD-3-Clause,2013-03-21 18:43:22.000,2023-11-15 19:00:14.000000,2023-10-31 15:18:07,7309.0,45.0,606.0,117.0,1145.0,323.0,1100.0,3143.0,High-performance interactive 2D/3D data visualization library.,189.0,36,True,2023-10-03 22:23:12.000,0.14.1,37.0,vispy,conda-forge/vispy,,,['jupyter'],1450.0,1315.0,https://pypi.org/project/vispy,146297.0,157928.0,https://anaconda.org/conda-forge/vispy,2023-10-04 03:59:45.400,441253.0,,,,,2.0,,2023-10-03 22:13:28.000,134.0,,vispy,https://www.npmjs.com/package/vispy,20.0,,2020-03-15 14:39:41.516,1.0,,,,,,,,,,,, +107,PyVista,pyvista/pyvista,data-viz,,https://github.com/pyvista/pyvista,https://github.com/pyvista/pyvista,MIT,2017-05-31 18:01:42.000,2023-11-16 08:44:59.000000,2023-11-16 04:48:11,3917.0,192.0,379.0,31.0,2713.0,386.0,980.0,2049.0,3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK).,149.0,36,True,2023-10-07 04:19:00.000,0.42.3,84.0,pyvista,conda-forge/pyvista,,,['jupyter'],2584.0,2364.0,https://pypi.org/project/pyvista,249582.0,259901.0,https://anaconda.org/conda-forge/pyvista,2023-10-07 03:29:50.976,422705.0,,,,,2.0,782.0,2023-10-07 01:49:47.000,220.0,,,,,,,,,,,,,,,,,,, +108,Graphviz,xflr6/graphviz,data-viz,,https://github.com/xflr6/graphviz,https://github.com/xflr6/graphviz,MIT,2014-01-12 17:49:29.000,2023-10-26 17:56:26.000000,2023-10-26 17:56:04,1210.0,11.0,199.0,33.0,45.0,9.0,157.0,1486.0,Simple Python interface for Graphviz.,21.0,36,True,2022-07-23 11:35:06.076,0.20.1,56.0,graphviz,anaconda/python-graphviz,,,,59486.0,56071.0,https://pypi.org/project/graphviz,7901467.0,7901996.0,https://anaconda.org/anaconda/python-graphviz,2023-06-16 13:23:51.228,41861.0,,,,,2.0,,2022-07-23 11:35:06.076,3415.0,,,,,,,,,,,,,,,,,,, +109,Wand,emcconville/wand,image,,https://github.com/emcconville/wand,https://github.com/emcconville/wand,MIT,2011-09-30 21:36:38.000,2023-11-11 21:59:16.000000,2023-11-11 21:35:59,1841.0,17.0,199.0,30.0,208.0,22.0,388.0,1329.0,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,,,,18298.0,17585.0,https://pypi.org/project/wand,868093.0,869277.0,https://anaconda.org/conda-forge/wand,2023-06-16 16:16:46.218,35010.0,,,,,2.0,29912.0,2023-11-03 23:18:50.000,713.0,,,,,,,,,,,,,,,,,,, +110,pyproj,pyproj4/pyproj,geospatial-data,,https://github.com/pyproj4/pyproj,https://github.com/pyproj4/pyproj,MIT,2014-12-29 21:38:25.000,2023-11-08 03:22:56.000000,2023-11-08 03:20:43,1527.0,22.0,206.0,33.0,668.0,25.0,562.0,938.0,Python interface to PROJ (cartographic projections and coordinate transformations library).,65.0,36,True,2023-09-21 02:07:12.000,3.6.1,61.0,pyproj,conda-forge/pyproj,,,,26873.0,24879.0,https://pypi.org/project/pyproj,8469568.0,8643480.0,https://anaconda.org/conda-forge/pyproj,2023-11-06 11:49:19.848,6956494.0,,,,,2.0,,2023-09-21 02:07:12.000,1994.0,,,,,,,,,,,,,,,,,,, +111,Face Recognition,ageitgey/face_recognition,image,,https://github.com/ageitgey/face_recognition,https://github.com/ageitgey/face_recognition,MIT,2017-03-03 21:52:39.000,2023-11-06 06:38:09.000000,2022-06-10 09:12:18,238.0,,13078.0,1571.0,224.0,735.0,584.0,50203.0,The worlds simplest facial recognition api for Python and the command line.,54.0,35,False,2020-02-20 14:26:01.000,1.3.0,21.0,face_recognition,conda-forge/face_recognition,,,['pytorch'],1819.0,1763.0,https://pypi.org/project/face_recognition,65134.0,65650.0,https://anaconda.org/conda-forge/face_recognition,2023-06-16 19:21:40.721,19042.0,,,,,2.0,1197.0,2020-02-20 14:26:01.000,56.0,2.0,,,,,,,,,,,,,,,,,, +112,EasyOCR,JaidedAI/EasyOCR,ocr,,https://github.com/JaidedAI/EasyOCR,https://github.com/JaidedAI/EasyOCR,Apache-2.0,2020-03-14 11:46:39.000,2023-11-16 13:45:37.000000,2023-09-04 11:42:16,615.0,9.0,2714.0,299.0,238.0,300.0,581.0,20097.0,"Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic,..",128.0,35,True,2023-09-04 11:53:04.000,1.7.1,22.0,easyocr,,,,,4274.0,4274.0,https://pypi.org/project/easyocr,198430.0,375373.0,,,,,,,,1.0,7254675.0,,,,,,,,,,,,,,,,,,,,, +113,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,,2395.0,232.0,336.0,294.0,223.0,13877.0,Image augmentation for machine learning experiments.,36.0,35,False,2020-02-06 06:18:40.000,0.4.0,11.0,imgaug,conda-forge/imgaug,,,,17553.0,17150.0,https://pypi.org/project/imgaug,342418.0,345188.0,https://anaconda.org/conda-forge/imgaug,2023-06-16 16:15:24.882,146830.0,,,,,2.0,,2020-02-05 20:54:22.000,403.0,,,,,,,,,,,,,,,,,,, +114,ChatterBot,gunthercox/ChatterBot,nlp,,https://github.com/gunthercox/ChatterBot,https://github.com/gunthercox/ChatterBot,BSD-3-Clause,2014-09-28 14:49:00.000,2023-11-03 17:37:00.000000,2021-06-01 10:43:00,1848.0,,4245.0,550.0,711.0,344.0,1266.0,13671.0,"ChatterBot is a machine learning, conversational dialog engine for creating chat bots.",103.0,35,False,2020-08-22 18:42:43.000,1.0.8,86.0,chatterbot,,,,,5425.0,5425.0,https://pypi.org/project/chatterbot,39014.0,39014.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +115,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,,2260.0,285.0,3096.0,91.0,2477.0,11604.0,"An open-source NLP research library, built on PyTorch.",265.0,35,True,2022-10-18 23:54:05.191,2.10.1,265.0,allennlp,conda-forge/allennlp,,,['pytorch'],3996.0,3808.0,https://pypi.org/project/allennlp,54753.0,56747.0,https://anaconda.org/conda-forge/allennlp,2023-06-16 16:12:37.768,117677.0,,,,,2.0,61.0,2022-10-18 23:54:05.191,188.0,,,,,,,,,,,,,,,,,,, +116,glfw,glfw/glfw,image,,https://github.com/glfw/glfw,https://github.com/glfw/glfw,Zlib,2013-04-18 15:24:53.000,2023-11-15 16:48:30.000000,2023-11-15 16:48:30,4642.0,4.0,4634.0,392.0,659.0,628.0,1250.0,11395.0,"A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input.",189.0,35,False,2023-06-30 18:36:01.101,2.6.2,54.0,glfw,conda-forge/glfw,,,,211.0,22.0,https://pypi.org/project/glfw,192196.0,230660.0,https://anaconda.org/conda-forge/glfw,2023-11-04 14:49:02.806,167379.0,,,,,2.0,3472867.0,2023-06-30 18:36:01.101,189.0,,,,,,,,,,,,,,,,,,, +117,sentencepiece,google/sentencepiece,nlp,,https://github.com/google/sentencepiece,https://github.com/google/sentencepiece,Apache-2.0,2017-03-07 10:03:48.000,2023-11-13 21:01:22.000000,2023-08-05 09:01:02,884.0,,1013.0,124.0,260.0,33.0,640.0,8487.0,Unsupervised text tokenizer for Neural Network-based text generation.,78.0,35,True,2023-05-02 03:20:40.000,0.1.99,25.0,sentencepiece,conda-forge/sentencepiece,,,,46384.0,46384.0,https://pypi.org/project/sentencepiece,10167660.0,10184941.0,https://anaconda.org/conda-forge/sentencepiece,2023-11-02 09:17:09.257,671310.0,,,,,2.0,31459.0,,,,,,,,,,,,,,,,,,,,, +118,Datasette,simonw/datasette,others,,https://github.com/simonw/datasette,https://github.com/simonw/datasette,Apache-2.0,2017-10-23 00:39:03.000,2023-11-15 15:22:00.000000,2023-10-13 00:00:27,2469.0,57.0,592.0,103.0,435.0,544.0,1157.0,8463.0,An open source multi-tool for exploring and publishing data.,75.0,35,True,2023-10-08 16:10:00.000,0.64.5,140.0,datasette,conda-forge/datasette,,,,1306.0,1103.0,https://pypi.org/project/datasette,40028.0,40918.0,https://anaconda.org/conda-forge/datasette,2023-09-27 17:06:18.945,27559.0,,,,,1.0,59.0,2023-10-08 16:10:00.000,203.0,,,,,,,,,datasette,,,,,,,,,, +119,Pyro,pyro-ppl/pyro,probabilistics,,https://github.com/pyro-ppl/pyro,https://github.com/pyro-ppl/pyro,Apache-2.0,2017-06-16 05:03:47.000,2023-11-13 03:14:25.000000,2023-11-13 02:24:49,2423.0,16.0,971.0,203.0,2247.0,241.0,823.0,8191.0,Deep universal probabilistic programming with Python and PyTorch.,144.0,35,True,2023-07-29 21:20:27.000,1.8.6,34.0,pyro-ppl,conda-forge/pyro-ppl,,,['pytorch'],1804.0,1712.0,https://pypi.org/project/pyro-ppl,333076.0,337123.0,https://anaconda.org/conda-forge/pyro-ppl,2023-07-29 23:12:47.995,129522.0,,,,,1.0,,2023-07-29 21:09:56.000,92.0,,,,,,,,,,,,,,,,,,, +120,einops,arogozhnikov/einops,ml-frameworks,,https://github.com/arogozhnikov/einops,https://github.com/arogozhnikov/einops,MIT,2018-09-22 00:45:08.000,2023-10-11 23:12:45.000000,2023-10-11 23:12:41,657.0,26.0,311.0,67.0,102.0,27.0,125.0,7391.0,"Deep learning operations reinvented (for pytorch, tensorflow, jax and others).",24.0,35,True,2023-10-01 01:13:00.000,0.7.0,13.0,einops,conda-forge/einops,,,,20408.0,20408.0,https://pypi.org/project/einops,5074458.0,5079003.0,https://anaconda.org/conda-forge/einops,2023-10-01 10:01:09.036,168176.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +121,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 16:08:07.000,2023-11-16 14:43:43.000000,2023-11-15 09:54:06,32239.0,188.0,2006.0,387.0,6697.0,2713.0,6492.0,6548.0,"H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM)..",247.0,35,True,,,149.0,h2o,,,,,102.0,21.0,https://pypi.org/project/h2o,387343.0,387343.0,,,,,,,,2.0,,2023-11-08 12:27:28.000,81.0,,,,,,,,,,,,,,,,,,, +122,Autograd,HIPS/autograd,others,,https://github.com/HIPS/autograd,https://github.com/HIPS/autograd,MIT,2014-11-24 15:50:23.000,2023-11-16 08:43:39.000000,2023-11-16 08:43:39,1418.0,5.0,872.0,216.0,220.0,174.0,232.0,6545.0,Efficiently computes derivatives of numpy code.,56.0,35,True,2023-06-23 08:37:07.368,1.6.2,29.0,autograd,conda-forge/autograd,,,,6897.0,6578.0,https://pypi.org/project/autograd,1222582.0,1244456.0,https://anaconda.org/conda-forge/autograd,2023-06-26 15:21:38.267,371874.0,,,,,1.0,,2023-06-23 08:37:07.368,319.0,,,,,,,,,,,,,,,,,,, +123,BentoML,bentoml/BentoML,model-serialisation,,https://github.com/bentoml/BentoML,https://github.com/bentoml/BentoML,Apache-2.0,2019-04-02 01:39:27.000,2023-11-16 12:35:42.000000,2023-11-15 05:40:14,2688.0,94.0,664.0,74.0,3112.0,174.0,782.0,5898.0,Build Production-Grade AI Applications.,186.0,35,True,2023-11-09 17:48:58.000,1.1.9,118.0,bentoml,,,,,1380.0,1369.0,https://pypi.org/project/bentoml,64434.0,64472.0,,,,,,,,2.0,2120.0,2023-11-07 23:43:21.000,11.0,,,,,,,,,,,,,,,,,,, +124,Ignite,pytorch/ignite,ml-frameworks,,https://github.com/pytorch/ignite,https://github.com/pytorch/ignite,BSD-3-Clause,2017-11-23 17:31:21.000,2023-11-13 18:56:46.000000,2023-11-10 22:40:45,1645.0,42.0,588.0,61.0,1787.0,112.0,1202.0,4370.0,High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.,202.0,35,True,2023-10-19 08:22:16.000,0.4.13,24.0,pytorch-ignite,pytorch/ignite,,,['pytorch'],2509.0,2509.0,https://pypi.org/project/pytorch-ignite,211851.0,214425.0,https://anaconda.org/pytorch/ignite,2023-10-19 08:25:55.130,167319.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +125,AzureML SDK,Azure/MachineLearningNotebooks,ml-experiments,,https://github.com/Azure/MachineLearningNotebooks,https://github.com/Azure/MachineLearningNotebooks,MIT,2018-08-17 17:29:14.000,2023-11-09 22:25:24.000000,2023-10-23 21:57:13,1286.0,14.0,2431.0,1986.0,528.0,374.0,1074.0,3818.0,Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft.,64.0,35,True,2023-08-23 02:38:47.000,1.53.0,101.0,azureml-sdk,,,,,48.0,,https://pypi.org/project/azureml-sdk,1336064.0,1336072.0,,,,,,,,2.0,504.0,2023-11-09 22:25:24.000,48.0,,,,,,,,,,,,,,,,,,, +126,TorchServe,pytorch/serve,model-serialisation,,https://github.com/pytorch/serve,https://github.com/pytorch/serve,Apache-2.0,2019-10-03 03:17:43.000,2023-11-16 07:20:49.000000,2023-11-16 01:32:30,3590.0,126.0,779.0,56.0,1331.0,332.0,1155.0,3768.0,"Serve, optimize and scale PyTorch models in production.",178.0,35,True,2023-10-13 00:21:43.000,0.9.0,22.0,torchserve,pytorch/torchserve,pytorch/torchserve,,['pytorch'],555.0,540.0,https://pypi.org/project/torchserve,41481.0,69397.0,https://anaconda.org/pytorch/torchserve,2023-10-12 22:01:52.717,134209.0,https://hub.docker.com/r/pytorch/torchserve,2023-10-12 22:44:52.307587,21.0,1208894.0,2.0,5360.0,2023-10-12 22:01:55.000,15.0,,,,,,,,,,,,,,,,,,, +127,Thinc,explosion/thinc,ml-frameworks,,https://github.com/explosion/thinc,https://github.com/explosion/thinc,MIT,2014-10-16 16:34:59.000,2023-11-08 15:28:17.000000,2023-11-08 15:28:17,5266.0,9.0,267.0,83.0,769.0,17.0,123.0,2767.0,"A refreshing functional take on deep learning, compatible with your favorite libraries.",63.0,35,True,2023-09-22 09:35:25.000,8.2.1,75.0,thinc,conda-forge/thinc,,,,39103.0,39103.0,https://pypi.org/project/thinc,5811012.0,5874480.0,https://anaconda.org/conda-forge/thinc,2023-09-25 06:51:17.362,2665673.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +128,HoloViews,holoviz/holoviews,data-viz,,https://github.com/holoviz/holoviews,https://github.com/holoviz/holoviews,BSD-3-Clause,2014-05-07 16:59:22.000,2023-11-16 10:49:21.000000,2023-11-16 10:49:20,10647.0,68.0,377.0,58.0,2852.0,1019.0,2099.0,2514.0,"With Holoviews, your data visualizes itself.",137.0,35,True,2023-11-09 09:16:35.000,1.18.1,149.0,holoviews,conda-forge/holoviews,,,['jupyter'],263.0,,https://pypi.org/project/holoviews,375204.0,411334.0,https://anaconda.org/conda-forge/holoviews,2023-11-08 21:19:49.170,1448299.0,,,,,2.0,,2023-11-08 19:02:58.000,261.0,,@pyviz/jupyterlab_pyviz,https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz,806.0,,2023-08-16 17:21:06.628,2.0,,,,,,,,,,,, +129,torchaudio,pytorch/audio,audio,,https://github.com/pytorch/audio,https://github.com/pytorch/audio,BSD-2-Clause,2017-05-05 00:38:05.000,2023-11-16 11:34:23.000000,2023-11-10 05:05:45,2292.0,78.0,611.0,76.0,2832.0,179.0,710.0,2262.0,"Data manipulation and transformation for audio signal processing, powered by PyTorch.",221.0,35,True,2023-11-15 22:19:00.000,2.1.1,29.0,torchaudio,,,,['pytorch'],482.0,,https://pypi.org/project/torchaudio,1670225.0,1670225.0,,,,,,,,2.0,,2023-11-15 16:46:55.000,482.0,,,,,,,,,,,,,,,,,,, +130,snakemake,snakemake/snakemake,ml-experiments,,https://github.com/snakemake/snakemake,https://github.com/snakemake/snakemake,MIT,2015-10-17 15:43:54.867,2023-11-16 13:44:10.000000,2023-11-15 20:58:28,4880.0,76.0,463.0,21.0,1094.0,855.0,568.0,1980.0,"This is the development home of the workflow management system Snakemake. For general information, see.",309.0,35,True,2023-09-18 14:47:18.000,7.32.4,284.0,snakemake,bioconda/snakemake,,,,1992.0,1738.0,https://pypi.org/project/snakemake,131757.0,141169.0,https://anaconda.org/bioconda/snakemake,2023-10-17 09:53:13.042,912991.0,,,,,2.0,,2023-09-18 14:47:18.000,254.0,,,,,,,,,,,,,,,,,,, +131,metrics,Lightning-AI/metrics,distributed-ml,,https://github.com/Lightning-AI/torchmetrics,https://github.com/Lightning-AI/torchmetrics,Apache-2.0,2020-12-22 20:02:42.000,2023-11-14 19:53:14.000000,2023-11-14 18:57:38,1549.0,133.0,331.0,27.0,1290.0,60.0,662.0,1712.0,"Torchmetrics - Machine learning metrics for distributed, scalable PyTorch applications.",215.0,35,True,2023-09-22 13:17:42.000,1.2.0,39.0,metrics,conda-forge/torchmetrics,,,['pytorch'],17113.0,17100.0,https://pypi.org/project/metrics,6122.0,42732.0,https://anaconda.org/conda-forge/torchmetrics,2023-09-25 21:19:09.764,1167312.0,,,,,2.0,4245.0,2018-04-28 10:58:56.000,13.0,,,,,,,,Lightning-AI/torchmetrics,,,,,,,,,,, +132,TF Addons,tensorflow/addons,tensorflow-utils,,https://github.com/tensorflow/addons,https://github.com/tensorflow/addons,Apache-2.0,2018-11-26 23:57:17.000,2023-11-09 01:45:39.000000,2023-10-19 17:10:39,1515.0,5.0,590.0,58.0,1878.0,251.0,893.0,1671.0,Useful extra functionality for TensorFlow 2.x maintained by SIG-addons.,205.0,35,True,2023-10-17 04:25:20.000,0.22.0,37.0,tensorflow-addons,,,,['tensorflow'],13688.0,13469.0,https://pypi.org/project/tensorflow-addons,850875.0,850875.0,,,,,,,,1.0,,2023-10-17 05:46:45.000,219.0,,,,,,,,,,,,,,,,,,, +133,arviz,arviz-devs/arviz,interpretability,,https://github.com/arviz-devs/arviz,https://github.com/arviz-devs/arviz,Apache-2.0,2015-07-29 11:51:10.000,2023-11-15 13:26:39.000000,2023-11-15 01:17:51,1515.0,9.0,356.0,48.0,1458.0,167.0,664.0,1460.0,Exploratory analysis of Bayesian models with Python.,150.0,35,True,2023-07-18 20:14:08.000,0.16.1,34.0,arviz,conda-forge/arviz,,,,5297.0,5158.0,https://pypi.org/project/arviz,1361944.0,1410714.0,https://anaconda.org/conda-forge/arviz,2023-09-19 13:51:11.324,2048281.0,,,,,1.0,133.0,2023-07-18 20:14:08.000,139.0,,,,,,,,,,,,,,,,,,, +134,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 10:20:28.000,2023-11-16 14:14:30.000000,2023-11-15 18:08:25,1176.0,142.0,315.0,59.0,1090.0,107.0,526.0,1315.0,All the open source things related to the Hugging Face Hub.,118.0,35,True,2023-11-15 15:01:24.000,0.19.3,88.0,huggingface_hub,conda-forge/huggingface_hub,,,,527.0,,https://pypi.org/project/huggingface_hub,23652859.0,23697451.0,https://anaconda.org/conda-forge/huggingface_hub,2023-11-15 19:58:29.392,1471550.0,,,,,2.0,,2023-11-15 14:54:02.000,527.0,,,,,,,,,,,,,,,,,,, +135,TensorFlow Text,tensorflow/text,nlp,,https://github.com/tensorflow/text,https://github.com/tensorflow/text,Apache-2.0,2019-05-29 22:10:03.000,2023-11-15 19:00:05.000000,2023-10-17 15:41:51,860.0,11.0,300.0,45.0,1002.0,70.0,161.0,1159.0,Making text a first-class citizen in TensorFlow.,111.0,35,True,2023-11-15 19:00:05.000,2.15.0,53.0,tensorflow-text,,,,['tensorflow'],6040.0,6040.0,https://pypi.org/project/tensorflow-text,3782869.0,3782869.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +136,agate,wireservice/agate,others,,https://github.com/wireservice/agate,https://github.com/wireservice/agate,MIT,2014-04-25 13:59:09.000,2023-10-18 11:17:00.880000,2023-10-18 03:51:44,1522.0,27.0,150.0,42.0,131.0,7.0,640.0,1149.0,A Python data analysis library that is optimized for humans instead of machines.,52.0,35,True,2023-10-18 03:54:36.000,1.9.0,31.0,agate,conda-forge/agate,,,,2536.0,2389.0,https://pypi.org/project/agate,4767305.0,4772459.0,https://anaconda.org/conda-forge/agate,2023-10-18 11:17:00.880,154635.0,,,,,1.0,,2023-10-18 03:54:36.000,147.0,,,,,,,,,,,,,,,,,,, +137,Fiona,Toblerity/Fiona,geospatial-data,,https://github.com/Toblerity/Fiona,https://github.com/Toblerity/Fiona,BSD-3-Clause,2011-12-31 19:47:00.000,2023-11-15 12:49:41.898000,2023-10-26 21:54:40,1467.0,19.0,202.0,47.0,522.0,38.0,731.0,1090.0,Fiona reads and writes geographic data files.,72.0,35,True,2023-10-12 19:29:21.000,1.9.5,47.0,fiona,conda-forge/fiona,,,,15963.0,15963.0,https://pypi.org/project/fiona,6857372.0,6985070.0,https://anaconda.org/conda-forge/fiona,2023-11-15 12:49:41.898,5107925.0,,,,,2.0,,2023-10-12 19:16:01.000,,,,,,,,,,,,,,,,,,,, +138,Nilearn,nilearn/nilearn,medical-data,,https://github.com/nilearn/nilearn,https://github.com/nilearn/nilearn,BSD-3-Clause,2011-01-09 19:02:23.000,2023-11-16 14:02:51.000000,2023-11-16 10:56:46,10117.0,132.0,526.0,69.0,2215.0,296.0,1650.0,1056.0,Machine learning for NeuroImaging in Python.,229.0,35,True,2023-10-01 19:30:40.000,0.10.2,45.0,nilearn,conda-forge/nilearn,,,['sklearn'],2966.0,2682.0,https://pypi.org/project/nilearn,50272.0,57325.0,https://anaconda.org/conda-forge/nilearn,2023-10-02 11:59:55.930,253751.0,,,,,2.0,145.0,2023-09-29 11:10:28.000,284.0,,,,,,,,,,,,,,,,,,, +139,ColossalAI,hpcaitech/colossalai,distributed-ml,,https://github.com/hpcaitech/ColossalAI,https://github.com/hpcaitech/ColossalAI,Apache-2.0,2021-10-28 16:19:44.000,2023-11-16 13:34:04.000000,2023-11-16 13:34:04,2876.0,196.0,3949.0,371.0,3390.0,313.0,1129.0,35277.0,"Making large AI models cheaper, faster and more accessible.",160.0,34,True,2023-11-01 05:57:35.000,0.3.4,34.0,,,,,,269.0,269.0,,,,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +140,fastText,facebookresearch/fastText,nlp,,https://github.com/facebookresearch/fastText,https://github.com/facebookresearch/fastText,MIT,2016-07-16 13:38:42.000,2023-11-16 09:04:10.000000,2023-10-04 06:55:43,386.0,2.0,4481.0,851.0,265.0,458.0,610.0,25164.0,Library for fast text representation and classification.,65.0,34,True,2020-04-28 09:51:33.000,0.9.2,4.0,fasttext,conda-forge/fasttext,,,,5209.0,5209.0,https://pypi.org/project/fasttext,1214766.0,1216534.0,https://anaconda.org/conda-forge/fasttext,2023-09-26 23:15:16.887,67192.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +141,Netron,lutzroeder/netron,interpretability,,https://github.com/lutzroeder/netron,https://github.com/lutzroeder/netron,MIT,2010-12-26 12:53:43.000,2023-11-16 05:05:14.000000,2023-11-16 05:05:10,7328.0,244.0,2580.0,296.0,175.0,24.0,983.0,24474.0,"Visualizer for neural network, deep learning and machine learning models.",2.0,34,True,2023-11-11 23:49:55.000,7.2.9,606.0,netron,,,,"['pytorch', 'tensorflow']",85.0,11.0,https://pypi.org/project/netron,18673.0,85635.0,,,,,,,,1.0,66962.0,2023-11-11 22:49:41.000,74.0,,,,,,,,,,,,,,,,,,, +142,PyFlink,apache/flink,ml-frameworks,,https://github.com/apache/flink,https://github.com/apache/flink,Apache-2.0,2014-06-07 07:00:10.000,2023-11-16 13:55:22.000000,2023-11-16 13:15:59,34252.0,368.0,12093.0,944.0,23720.0,,,22250.0,Apache Flink Python API.,1795.0,34,True,,,,apache-flink,,,,,21.0,21.0,https://pypi.org/project/apache-flink,82287.0,82287.0,,,,,,,,2.0,,,,-3.0,,,,,,,,,,,,,,,,,, +143,Recommenders,microsoft/recommenders,recommender-systems,,https://github.com/recommenders-team/recommenders,https://github.com/recommenders-team/recommenders,MIT,2018-09-19 10:06:07.000,2023-11-14 19:25:29.000000,2023-10-13 16:32:21,8666.0,165.0,2812.0,264.0,1210.0,162.0,653.0,16674.0,Best Practices on Recommendation Systems.,128.0,34,True,2022-07-20 05:58:55.000,1.1.1,12.0,recommenders,,,,,89.0,87.0,https://pypi.org/project/recommenders,51678.0,51685.0,,,,,,,,1.0,448.0,2022-04-01 08:49:49.000,2.0,,,,,,,,recommenders-team/recommenders,,,,,,,,,,, +144,Annoy,spotify/annoy,nn-search,,https://github.com/spotify/annoy,https://github.com/spotify/annoy,Apache-2.0,2013-04-01 20:29:40.000,2023-09-25 04:57:08.085000,2023-08-20 17:38:53,890.0,1.0,1110.0,320.0,266.0,54.0,341.0,12151.0,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,,,,3554.0,3284.0,https://pypi.org/project/annoy,1066975.0,1076793.0,https://anaconda.org/conda-forge/python-annoy,2023-09-25 04:57:08.085,373093.0,,,,,2.0,,2023-06-14 16:39:02.504,270.0,,,,,,,,,,,,,,,,,,, +145,OCRmyPDF,ocrmypdf/OCRmyPDF,ocr,,https://github.com/ocrmypdf/OCRmyPDF,https://github.com/ocrmypdf/OCRmyPDF,MPL-2.0,2013-12-20 08:26:28.000,2023-11-16 09:11:29.000000,2023-11-16 04:27:16,3656.0,197.0,775.0,134.0,154.0,99.0,932.0,10387.0,"OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched.",87.0,34,True,2023-11-16 09:27:53.000,15.4.3,46.0,ocrmypdf,conda-forge/ocrmypdf,,,,663.0,663.0,https://pypi.org/project/ocrmypdf,49701.0,51833.0,https://anaconda.org/conda-forge/ocrmypdf,2023-06-16 19:24:58.228,58992.0,,,,,2.0,1035.0,,,,,,,,,,,ocrmypdf,ocrmypdf,,,,,,,,, +146,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,,1090.0,268.0,156.0,101.0,155.0,8752.0,"Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation,..",36.0,34,True,2013-09-26 02:29:01.000,0.7.0,7.0,textblob,conda-forge/textblob,,,,33922.0,33922.0,https://pypi.org/project/textblob,552153.0,554902.0,https://anaconda.org/conda-forge/textblob,2023-06-16 13:22:54.304,239179.0,,,,,2.0,113.0,,,,,,,,,,,,,,,,,,,,, +147,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 19:36:58.000,2023-11-14 15:00:46.000000,2023-11-01 21:59:23,10396.0,10.0,1859.0,349.0,3404.0,126.0,1130.0,8318.0,Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as..,332.0,34,True,2023-07-19 14:18:35.000,9.9.0,29.0,vowpalwabbit,conda-forge/vowpalwabbit,,,,,,https://pypi.org/project/vowpalwabbit,118048.0,121703.0,https://anaconda.org/conda-forge/vowpalwabbit,2023-10-08 10:19:04.401,135258.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +148,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 14:28:03,528.0,4.0,870.0,86.0,274.0,78.0,376.0,7717.0,"tensorboard for pytorch (and chainer, mxnet, numpy, ...).",82.0,34,True,2023-07-30 14:05:26.000,2.6.2,24.0,tensorboardX,conda-forge/tensorboardx,,,,37424.0,36445.0,https://pypi.org/project/tensorboardX,2410458.0,2438580.0,https://anaconda.org/conda-forge/tensorboardx,2023-08-20 16:29:43.490,1124705.0,,,,,2.0,400.0,2023-08-20 13:38:18.000,979.0,,,,,,,,,,,,,,,,,,, +149,PyOD,yzhao062/pyod,others,,https://github.com/yzhao062/pyod,https://github.com/yzhao062/pyod,BSD-2-Clause,2017-10-03 20:29:04.000,2023-11-14 11:44:13.000000,2023-10-25 07:33:27,1701.0,12.0,1291.0,148.0,203.0,188.0,144.0,7579.0,A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection).,49.0,34,True,2023-10-25 07:38:28.000,1.1.1,89.0,pyod,conda-forge/pyod,,,,3044.0,2986.0,https://pypi.org/project/pyod,678617.0,680665.0,https://anaconda.org/conda-forge/pyod,2023-10-25 09:59:42.105,86043.0,,,,,2.0,,2023-10-25 07:36:29.000,58.0,,,,,,,,,,,,,,,,,,, +150,featuretools,alteryx/featuretools,hyperopt,,https://github.com/alteryx/featuretools,https://github.com/alteryx/featuretools,BSD-3-Clause,2017-09-08 22:15:17.000,2023-11-09 22:48:54.000000,2023-10-26 18:06:30,1312.0,11.0,848.0,158.0,1650.0,171.0,803.0,6860.0,An open source python library for automated feature engineering.,71.0,34,True,2023-10-26 18:22:23.000,1.28.0,103.0,featuretools,conda-forge/featuretools,,,,1536.0,1459.0,https://pypi.org/project/featuretools,60993.0,65180.0,https://anaconda.org/conda-forge/featuretools,2023-10-27 14:28:34.721,171705.0,,,,,1.0,,2023-10-26 18:22:23.000,77.0,,,,,,,,,,,,,,,,,,, +151,stanza,stanfordnlp/stanza,nlp,,https://github.com/stanfordnlp/stanza,https://github.com/stanfordnlp/stanza,Apache-2.0,2017-09-26 08:00:56.000,2023-11-16 07:50:39.000000,2023-10-06 05:01:16,4079.0,160.0,886.0,146.0,457.0,77.0,749.0,6854.0,"Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages.",64.0,34,True,2023-10-06 05:16:12.000,1.6.1,21.0,stanza,stanfordnlp/stanza,,,,2327.0,2235.0,https://pypi.org/project/stanza,158187.0,158351.0,https://anaconda.org/stanfordnlp/stanza,2023-06-16 19:18:21.932,7232.0,,,,,2.0,,2023-10-06 05:09:50.000,92.0,,,,,,,,,,,,,,,,,,, +152,UMAP,lmcinnes/umap,data-viz,,https://github.com/lmcinnes/umap,https://github.com/lmcinnes/umap,BSD-3-Clause,2017-07-02 01:11:17.000,2023-11-14 16:02:49.000000,2023-11-14 16:02:49,1758.0,47.0,750.0,126.0,265.0,429.0,328.0,6553.0,Uniform Manifold Approximation and Projection.,127.0,34,True,2023-09-15 15:27:59.000,0.5.4,38.0,umap-learn,conda-forge/umap-learn,,,,515.0,1.0,https://pypi.org/project/umap-learn,898881.0,953747.0,https://anaconda.org/conda-forge/umap-learn,2023-09-16 02:25:50.473,2249526.0,,,,,2.0,,2023-09-15 15:27:59.000,514.0,,,,,,,,,,,,,,,,,,, +153,OpenNMT,OpenNMT/OpenNMT-py,nlp,,https://github.com/OpenNMT/OpenNMT-py,https://github.com/OpenNMT/OpenNMT-py,MIT,2017-02-22 19:01:50.000,2023-11-13 12:20:13.000000,2023-11-13 12:20:13,2848.0,35.0,2074.0,174.0,1100.0,15.0,1398.0,6337.0,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'],232.0,232.0,https://pypi.org/project/OpenNMT-py,4821.0,4821.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +154,Tesseract,madmaze/pytesseract,ocr,,https://github.com/madmaze/pytesseract,https://github.com/madmaze/pytesseract,Apache-2.0,2010-10-27 23:02:49.000,2023-11-13 19:20:06.000000,2023-11-07 12:05:37,593.0,53.0,680.0,109.0,176.0,14.0,337.0,5172.0,Python-tesseract is an optical character recognition (OCR) tool for python.,45.0,34,True,2023-10-15 15:39:44.000,0.3.13,27.0,pytesseract,conda-forge/pytesseract,,,,1178.0,,https://pypi.org/project/pytesseract,1313937.0,1328716.0,https://anaconda.org/conda-forge/pytesseract,2023-10-15 19:50:43.241,591175.0,,,,,2.0,,2022-08-16 19:20:38.334,1178.0,,,,,,,,,,,,,,,,,,, +155,MLxtend,rasbt/mlxtend,sklearn-utils,,https://github.com/rasbt/mlxtend,https://github.com/rasbt/mlxtend,BSD-3-Clause,2014-08-14 01:56:16.000,2023-09-25 18:40:43.024000,2023-09-23 14:57:17,1634.0,6.0,827.0,117.0,518.0,137.0,336.0,4564.0,A library of extension and helper modules for Pythons data analysis and machine learning libraries.,101.0,34,True,2023-09-25 13:23:15.000,0.23.0,51.0,mlxtend,conda-forge/mlxtend,,,['sklearn'],11304.0,11116.0,https://pypi.org/project/mlxtend,776581.0,783910.0,https://anaconda.org/conda-forge/mlxtend,2023-09-25 18:40:43.024,293173.0,,,,,1.0,,2023-09-25 13:23:15.000,188.0,,,,,,,,,,,,,,,,,,, +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 14:40:43.000,2023-11-16 12:51:28.000000,2023-11-02 07:52:20,11956.0,191.0,1058.0,101.0,1265.0,120.0,739.0,4123.0,"Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction,..",133.0,34,True,2023-09-22 14:42:30.000,1.16.0,56.0,adversarial-robustness-toolbox,conda-forge/adversarial-robustness-toolbox,,,,458.0,449.0,https://pypi.org/project/adversarial-robustness-toolbox,27542.0,28402.0,https://anaconda.org/conda-forge/adversarial-robustness-toolbox,2023-09-22 17:09:10.511,34421.0,,,,,1.0,,2023-09-22 14:17:16.000,9.0,,,,,,,,,,,,,,,,,,, +157,plotnine,has2k1/plotnine,data-viz,,https://github.com/has2k1/plotnine,https://github.com/has2k1/plotnine,MIT,2017-04-24 19:00:44.000,2023-11-06 12:55:06.721000,2023-08-08 07:57:53,1994.0,,202.0,66.0,128.0,78.0,510.0,3620.0,A Grammar of Graphics for Python.,103.0,34,True,2023-11-06 11:06:44.000,0.12.4,20.0,plotnine,conda-forge/plotnine,,,,6417.0,6158.0,https://pypi.org/project/plotnine,1658504.0,1666429.0,https://anaconda.org/conda-forge/plotnine,2023-11-06 12:55:06.721,324928.0,,,,,2.0,,2023-11-06 11:02:10.000,259.0,,,,,,,,,,,,,,,,,,, +158,litellm,BerriAI/litellm,nlp,,https://github.com/BerriAI/litellm,https://github.com/BerriAI/litellm,MIT,2023-07-27 00:09:52.000,2023-11-16 05:16:47.000000,2023-11-16 04:46:48,3289.0,2798.0,249.0,29.0,136.0,96.0,588.0,2845.0,"Call all LLM APIs using the OpenAI format. Use Bedrock, Azure, OpenAI, Cohere, Anthropic, Ollama, Sagemaker,..",58.0,34,True,2023-11-14 02:33:55.000,1.0.0,391.0,litellm,,,,others,443.0,409.0,https://pypi.org/project/litellm,152696.0,152696.0,,,,,,,,2.0,,2023-11-16 05:16:47.000,34.0,,,,,,,,,,,,,,,,,,, +159,rubrix,recognai/rubrix,nlp,,https://github.com/argilla-io/argilla,https://github.com/argilla-io/argilla,Apache-2.0,2021-04-28 14:37:42.000,2023-11-16 12:01:48.000000,2023-11-16 12:01:47,2689.0,302.0,253.0,23.0,2467.0,232.0,1430.0,2614.0,Argilla: the open-source feedback platform for LLMs.,73.0,34,True,2023-11-13 12:57:09.000,1.19.0,100.0,rubrix,conda-forge/rubrix,,,,2046.0,2046.0,https://pypi.org/project/rubrix,546.0,1752.0,https://anaconda.org/conda-forge/rubrix,2023-06-16 19:28:09.653,27744.0,,,,,2.0,,2022-10-24 18:22:00.951,,,,,,,,,argilla-io/argilla,,,,,,,,,,, +160,Ax,facebook/Ax,hyperopt,,https://github.com/facebook/Ax,https://github.com/facebook/Ax,MIT,2019-02-09 15:23:44.000,2023-11-16 06:41:46.000000,2023-11-15 21:04:46,2671.0,169.0,276.0,68.0,1386.0,54.0,568.0,2181.0,Adaptive Experimentation Platform.,156.0,34,True,2023-11-13 23:05:13.000,0.3.5,38.0,ax-platform,conda-forge/ax-platform,,,['pytorch'],606.0,578.0,https://pypi.org/project/ax-platform,113692.0,114213.0,https://anaconda.org/conda-forge/ax-platform,2023-08-12 13:48:33.316,15135.0,,,,,1.0,,2023-11-13 23:05:13.000,28.0,,,,,,,,,,,,,,,,,,, +161,optimum,huggingface/optimum,gpu-utilities,,https://github.com/huggingface/optimum,https://github.com/huggingface/optimum,Apache-2.0,2021-07-20 12:36:40.000,2023-11-16 14:19:57.000000,2023-11-15 11:33:08,889.0,106.0,291.0,52.0,1006.0,260.0,323.0,1725.0,Accelerate training and inference of Transformers and Diffusers with easy to use hardware optimization tools.,86.0,34,True,2023-11-14 17:50:24.000,1.14.1,52.0,optimum,conda-forge/optimum,,,,928.0,884.0,https://pypi.org/project/optimum,500228.0,500744.0,https://anaconda.org/conda-forge/optimum,2023-11-15 07:10:12.987,9809.0,,,,,1.0,,2023-11-14 17:47:33.000,44.0,,,,,,,,,,,,,,,,,,, +162,cartopy,SciTools/cartopy,data-viz,,https://github.com/SciTools/cartopy,https://github.com/SciTools/cartopy,LGPL-3.0,2012-08-03 07:43:59.000,2023-11-15 19:11:20.000000,2023-11-15 19:11:20,2924.0,59.0,348.0,55.0,1104.0,326.0,909.0,1296.0,Cartopy - a cartographic python library with matplotlib support.,124.0,34,False,2023-08-05 00:57:41.000,0.22.0,29.0,cartopy,conda-forge/cartopy,,,,4423.0,4005.0,https://pypi.org/project/cartopy,151407.0,230052.0,https://anaconda.org/conda-forge/cartopy,2023-10-24 18:58:07.197,3303117.0,,,,,2.0,,2023-08-05 00:57:41.000,418.0,,,,,,,,,,,,,,,,,,, +163,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 06:45:41.000,2023-11-16 14:54:30.000000,2023-11-15 03:15:25,1489.0,106.0,166.0,31.0,1331.0,54.0,167.0,1074.0,Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application.,77.0,34,True,2023-11-14 18:28:55.000,2024.0.0,22.0,scikit-learn-intelex,conda-forge/scikit-learn-intelex,,,['sklearn'],8528.0,8505.0,https://pypi.org/project/scikit-learn-intelex,176373.0,183577.0,https://anaconda.org/conda-forge/scikit-learn-intelex,2023-07-25 12:42:29.795,223350.0,,,,,1.0,,2023-11-14 18:28:55.000,23.0,,,,,,,,,,,,,,,,,,, +164,NIPYPE,nipy/nipype,medical-data,,https://github.com/nipy/nipype,https://github.com/nipy/nipype,Apache-2.0,2010-07-22 17:06:49.000,2023-11-15 22:14:56.000000,2023-11-15 22:14:56,14784.0,15.0,506.0,50.0,2273.0,392.0,947.0,704.0,Workflows and interfaces for neuroimaging packages.,251.0,34,True,2023-04-06 12:55:55.544,1.8.6,64.0,nipype,conda-forge/nipype,,,,3891.0,3713.0,https://pypi.org/project/nipype,80545.0,95600.0,https://anaconda.org/conda-forge/nipype,2023-09-22 18:28:24.915,587182.0,,,,,2.0,,2017-05-21 03:34:02.000,178.0,,,,,,,,,,,,,,,,,,, +165,DIPY,dipy/dipy,medical-data,,https://github.com/dipy/dipy,https://github.com/dipy/dipy,BSD-3-Clause,2010-02-06 11:43:08.000,2023-11-16 14:17:38.000000,2023-11-15 22:47:35,13463.0,344.0,387.0,52.0,1954.0,151.0,739.0,628.0,"DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal..",152.0,34,True,2023-04-23 23:30:00.533,1.7.0,26.0,dipy,conda-forge/dipy,,,,1026.0,917.0,https://pypi.org/project/dipy,17660.0,22301.0,https://anaconda.org/conda-forge/dipy,2023-06-16 13:16:19.782,417735.0,,,,,2.0,,2022-03-11 20:19:02.000,109.0,,,,,,,,,,,,,,,,,,, +166,detectron2,facebookresearch/detectron2,image,,https://github.com/facebookresearch/detectron2,https://github.com/facebookresearch/detectron2,Apache-2.0,2019-09-05 21:30:20.000,2023-11-15 14:03:00.000000,2023-11-06 20:14:35,1493.0,9.0,6699.0,384.0,642.0,368.0,3028.0,27164.0,"Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.",261.0,33,True,2021-11-15 22:08:26.000,0.6,10.0,detectron2,conda-forge/detectron2,,,['pytorch'],1457.0,1457.0,https://pypi.org/project/detectron2,,5313.0,https://anaconda.org/conda-forge/detectron2,2023-06-23 08:23:13.856,212549.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +167,MindsDB,mindsdb/mindsdb,ml-frameworks,,https://github.com/mindsdb/mindsdb,https://github.com/mindsdb/mindsdb,,2018-08-02 17:56:45.000,2023-11-16 13:43:17.000000,2023-11-16 13:33:21,16057.0,2247.0,2500.0,375.0,4369.0,505.0,3052.0,18984.0,MindsDB connects AI models to real time data.,810.0,33,False,2023-11-09 13:04:28.000,23.11.1.0,100.0,mindsdb,,,,['pytorch'],,,https://pypi.org/project/mindsdb,10262.0,10262.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +168,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 05:31:53,3012.0,1.0,1817.0,284.0,3502.0,334.0,1675.0,13397.0,"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,,,,,536.0,501.0,https://pypi.org/project/nni,17813.0,17813.0,,,,,,,,1.0,,2023-09-14 12:22:00.000,35.0,,,,,,,,,,,,,,,,,,, +169,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,,2090.0,188.0,1005.0,580.0,711.0,12249.0,"Awesome pre-trained models toolkit based on PaddlePaddle. (400+ models including Image, Text, Audio, Video and Cross-..",69.0,33,True,2023-09-20 10:33:08.000,2.4.0,50.0,paddlehub,,,,['paddle'],1454.0,1448.0,https://pypi.org/project/paddlehub,6544.0,6555.0,,,,,,,,2.0,664.0,2023-09-20 10:33:08.000,6.0,,,,,,,,,,,,,,,,,,, +170,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,,1124.0,340.0,1683.0,500.0,1294.0,11114.0,Turi Create simplifies the development of custom machine learning models.,86.0,33,False,2020-09-30 22:51:40.000,6.4.1,31.0,turicreate,,,,,381.0,360.0,https://pypi.org/project/turicreate,19042.0,19175.0,,,,,,,,2.0,9474.0,2020-09-30 22:51:40.000,21.0,,,,,,,,,,,,,,,,,,, +171,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,,1760.0,264.0,114.0,96.0,535.0,10976.0,Lime: Explaining the predictions of any machine learning classifier.,62.0,33,False,2020-04-03 22:05:03.000,0.2.0.0,39.0,lime,conda-forge/lime,,,,4773.0,4603.0,https://pypi.org/project/lime,325436.0,327749.0,https://anaconda.org/conda-forge/lime,2023-06-16 13:18:57.655,192019.0,,,,,1.0,,2020-06-26 21:38:15.000,170.0,,,,,,,,,,,,,,,,,,, +172,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 14:30:00,4358.0,10.0,2060.0,287.0,3401.0,54.0,1494.0,10366.0,A framework for training and evaluating AI models on a variety of openly available dialogue datasets.,217.0,33,True,2023-06-06 20:46:16.091,1.7.2,25.0,parlai,,,,['pytorch'],26.0,21.0,https://pypi.org/project/parlai,3674.0,3674.0,,,,,,,,2.0,,2022-09-20 02:56:01.305,5.0,,,,,,,,,,,,,,,,,,, +173,Ludwig,ludwig-ai/ludwig,ml-frameworks,,https://github.com/ludwig-ai/ludwig,https://github.com/ludwig-ai/ludwig,Apache-2.0,2018-12-27 23:58:12.000,2023-11-16 07:47:16.000000,2023-11-11 20:27:45,3727.0,128.0,1070.0,189.0,2707.0,258.0,735.0,10115.0,"Low-code framework for building custom LLMs, neural networks, and other AI models.",146.0,33,True,2023-10-13 15:47:19.000,0.8.6,42.0,ludwig,,,,['tensorflow'],219.0,219.0,https://pypi.org/project/ludwig,5923.0,5923.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +174,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,,870.0,263.0,148.0,83.0,103.0,9014.0,Fuzzy String Matching in Python.,70.0,33,False,2020-02-13 22:14:12.000,0.18.0,23.0,fuzzywuzzy,conda-forge/fuzzywuzzy,,,,21222.0,21222.0,https://pypi.org/project/fuzzywuzzy,5457537.0,5463407.0,https://anaconda.org/conda-forge/fuzzywuzzy,2023-06-16 13:22:53.603,516644.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +175,deepface,serengil/deepface,image,,https://github.com/serengil/deepface,https://github.com/serengil/deepface,MIT,2020-02-08 20:42:28.000,2023-11-15 13:23:25.000000,2023-10-25 14:29:02,1095.0,18.0,1548.0,110.0,91.0,8.0,790.0,8134.0,"A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python.",47.0,33,True,2023-02-23 10:07:02.320,0.0.79,78.0,deepface,,,,,2157.0,2143.0,https://pypi.org/project/deepface,138093.0,138093.0,,,,,,,,2.0,,2023-01-24 23:15:00.809,14.0,,,,,,,,,,,,,,,,,,, +176,PaddleSeg,PaddlePaddle/PaddleSeg,image,,https://github.com/PaddlePaddle/PaddleSeg,https://github.com/PaddlePaddle/PaddleSeg,Apache-2.0,2019-08-26 02:32:22.000,2023-11-15 08:24:53.000000,2023-11-15 08:21:28,2892.0,13.0,1564.0,86.0,1616.0,345.0,1600.0,7759.0,"Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in..",115.0,33,True,2023-10-18 03:54:18.000,2.9.0,19.0,paddleseg,,,,['paddle'],1069.0,1065.0,https://pypi.org/project/paddleseg,2239.0,2239.0,,,,,,,,2.0,,2022-11-30 11:24:02.578,4.0,,,,,,,,,,,,,,,,,,, +177,Metaflow,Netflix/metaflow,ml-experiments,,https://github.com/Netflix/metaflow,https://github.com/Netflix/metaflow,Apache-2.0,2019-09-17 17:48:25.000,2023-11-16 00:18:00.000000,2023-11-03 13:46:45,804.0,61.0,684.0,276.0,1056.0,292.0,331.0,7152.0,Build and manage real-life data science projects with ease!.,75.0,33,True,2023-11-03 15:54:37.000,2.10.6,101.0,metaflow,conda-forge/metaflow,,,,579.0,553.0,https://pypi.org/project/metaflow,196278.0,200147.0,https://anaconda.org/conda-forge/metaflow,2023-11-04 15:00:16.567,154773.0,,,,,2.0,,2023-11-03 15:54:37.000,26.0,,,,,,,,,,,,,,,,,,, +178,Hyperopt,hyperopt/hyperopt,hyperopt,,https://github.com/hyperopt/hyperopt,https://github.com/hyperopt/hyperopt,BSD-3-Clause,2011-09-06 22:24:59.000,2023-11-13 21:02:31.000000,2023-09-29 18:36:14,1218.0,5.0,1022.0,127.0,270.0,349.0,359.0,6915.0,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,,,,13063.0,12567.0,https://pypi.org/project/hyperopt,2216016.0,2227941.0,https://anaconda.org/conda-forge/hyperopt,2023-06-16 16:14:11.076,739392.0,,,,,1.0,,2021-11-17 10:07:00.808,496.0,,,,,,,,,,,,,,,,,,, +179,cuDF,rapidsai/cudf,gpu-utilities,,https://github.com/rapidsai/cudf,https://github.com/rapidsai/cudf,Apache-2.0,2017-05-07 03:43:37.000,2023-11-16 14:28:49.000000,2023-11-16 14:28:44,37726.0,828.0,751.0,144.0,8653.0,903.0,4889.0,6476.0,cuDF - GPU DataFrame Library.,265.0,33,True,2023-11-07 21:43:01.000,23.04.01,42.0,cudf,,,,,58.0,49.0,https://pypi.org/project/cudf,3492.0,3492.0,,,,,,,,1.0,,2020-06-01 20:07:47.000,9.0,,,,,,,,,,,,,,,,,,, +180,librosa,librosa/librosa,audio,,https://github.com/librosa/librosa,https://github.com/librosa/librosa,ISC,2012-10-20 14:21:01.000,2023-11-15 14:44:32.000000,2023-11-15 14:44:32,3256.0,8.0,943.0,138.0,632.0,57.0,1092.0,6291.0,Python library for audio and music analysis.,118.0,33,True,2023-08-16 13:52:19.000,0.10.1,41.0,librosa,conda-forge/librosa,,,,1479.0,,https://pypi.org/project/librosa,2062107.0,2079790.0,https://anaconda.org/conda-forge/librosa,2023-08-16 18:07:49.183,707357.0,,,,,2.0,,2023-08-16 13:52:19.000,1479.0,,,,,,,,,,,,,,,,,,, +181,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,,1397.0,291.0,6588.0,12.0,2030.0,5829.0,A flexible framework of neural networks for deep learning.,325.0,33,False,2022-06-29 08:19:03.000,7.8.1.post1,111.0,chainer,conda-forge/chainer,,,,3534.0,3131.0,https://pypi.org/project/chainer,23944.0,24303.0,https://anaconda.org/conda-forge/chainer,2023-06-16 19:17:58.452,16169.0,,,,,2.0,,2022-01-05 05:33:36.000,403.0,,,,,,,,,,,,,,,,,,, +182,InterpretML,interpretml/interpret,interpretability,,https://github.com/interpretml/interpret,https://github.com/interpretml/interpret,MIT,2019-05-03 05:47:52.000,2023-11-16 10:26:46.000000,2023-11-16 10:19:47,2809.0,87.0,684.0,141.0,89.0,71.0,322.0,5770.0,Fit interpretable models. Explain blackbox machine learning.,39.0,33,True,2023-08-28 03:48:17.000,0.4.4,45.0,interpret,,,,['jupyter'],587.0,559.0,https://pypi.org/project/interpret,85648.0,85648.0,,,,,,,,1.0,,2023-08-26 19:56:29.000,28.0,,,,,,,,,,,,,,,,,,, +183,FiftyOne,voxel51/fiftyone,data-viz,,https://github.com/voxel51/fiftyone,https://github.com/voxel51/fiftyone,Apache-2.0,2020-04-22 13:43:28.000,2023-11-16 14:00:14.000000,2023-11-16 13:28:44,18603.0,703.0,429.0,52.0,2447.0,505.0,954.0,5391.0,"Visualize, create, and debug image and video datasets and model predictions.",96.0,33,True,2023-11-06 14:21:11.000,db-v0.4.3,133.0,fiftyone,,,,"['tensorflow', 'pytorch', 'jupyter']",438.0,429.0,https://pypi.org/project/fiftyone,52694.0,52694.0,,,,,,,,2.0,,2023-11-06 22:01:16.000,9.0,,,,,,,,,,,,,,,,,,, +184,DEAP,deap/deap,distributed-ml,,https://github.com/DEAP/deap,https://github.com/DEAP/deap,LGPL-3.0,2014-05-21 20:07:39.000,2023-10-25 19:50:57.000000,2023-07-28 00:16:45,2332.0,,1068.0,191.0,230.0,271.0,278.0,5345.0,Distributed Evolutionary Algorithms in Python.,87.0,33,False,2023-07-21 10:51:54.000,1.4.1,23.0,deap,conda-forge/deap,,,,4477.0,4109.0,https://pypi.org/project/deap,208260.0,217574.0,https://anaconda.org/conda-forge/deap,2023-09-25 01:16:08.711,344623.0,,,,,2.0,,2023-07-21 10:51:54.000,368.0,,,,,,,,,,,,,,,,,,, +185,ClearML,allegroai/clearml,ml-experiments,,https://github.com/allegroai/clearml,https://github.com/allegroai/clearml,Apache-2.0,2019-06-10 08:18:32.000,2023-11-14 09:42:26.000000,2023-11-14 09:42:02,2243.0,61.0,603.0,91.0,239.0,391.0,511.0,4848.0,"ClearML - Auto-Magical CI/CD to streamline your ML workflow. Experiment Manager, MLOps and Data-Management.",88.0,33,True,2023-11-08 21:09:23.000,1.13.2,143.0,clearml,,allegroai/trains,,,802.0,788.0,https://pypi.org/project/clearml,228519.0,229121.0,,,,https://hub.docker.com/r/allegroai/trains,2020-10-05 10:16:46.865671,,30188.0,2.0,1775.0,2023-11-08 21:07:37.000,14.0,,,,,,,,,,,,,,,,,,, +186,opencv-python,opencv/opencv-python,image,,https://github.com/opencv/opencv-python,https://github.com/opencv/opencv-python,MIT,2016-04-08 13:36:40.000,2023-11-09 17:50:54.000000,2023-10-18 12:45:17,932.0,5.0,737.0,86.0,189.0,76.0,641.0,3828.0,"Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-..",48.0,33,True,2023-09-27 14:17:30.000,78,71.0,opencv-python,,,,,11404.0,,https://pypi.org/project/opencv-python,11340571.0,11340571.0,,,,,,,,2.0,,2023-09-28 11:00:22.000,11404.0,6.0,,,,,,,,,,,,,,,,,, +187,Core ML Tools,apple/coremltools,model-serialisation,,https://github.com/apple/coremltools,https://github.com/apple/coremltools,BSD-3-Clause,2017-06-30 07:39:02.000,2023-11-15 17:04:54.000000,2023-11-14 05:33:14,1106.0,35.0,564.0,115.0,807.0,272.0,1003.0,3726.0,"Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.",158.0,33,True,2023-11-01 14:46:14.000,7.1,46.0,coremltools,conda-forge/coremltools,,,,3610.0,3442.0,https://pypi.org/project/coremltools,206076.0,207616.0,https://anaconda.org/conda-forge/coremltools,2023-06-16 19:23:14.592,52594.0,,,,,2.0,8875.0,2023-11-01 14:33:59.000,168.0,,,,,,,,,,,,,,,,,,, +188,tensorflow-hub,tensorflow/hub,tensorflow-utils,,https://github.com/tensorflow/hub,https://github.com/tensorflow/hub,Apache-2.0,2018-03-12 07:55:42.000,2023-11-15 15:58:26.000000,2023-11-15 15:58:24,1171.0,8.0,1715.0,148.0,209.0,3.0,680.0,3409.0,A library for transfer learning by reusing parts of TensorFlow models.,106.0,33,True,2023-10-06 10:06:37.000,0.15.0,18.0,tensorflow-hub,conda-forge/tensorflow-hub,,,['tensorflow'],332.0,,https://pypi.org/project/tensorflow-hub,2425068.0,2427407.0,https://anaconda.org/conda-forge/tensorflow-hub,2023-07-13 16:39:43.723,91229.0,,,,,2.0,,2023-10-06 09:58:50.000,332.0,,,,,,,,,,,,,,,,,,, +189,datashader,holoviz/datashader,data-viz,,https://github.com/holoviz/datashader,https://github.com/holoviz/datashader,BSD-3-Clause,2015-12-23 18:02:20.000,2023-11-06 08:46:38.000000,2023-10-27 18:17:16,1488.0,24.0,363.0,92.0,731.0,131.0,440.0,3102.0,Quickly and accurately render even the largest data.,54.0,33,True,2023-10-26 15:10:16.000,0.16.0,42.0,datashader,conda-forge/datashader,,,,3290.0,3166.0,https://pypi.org/project/datashader,294881.0,311999.0,https://anaconda.org/conda-forge/datashader,2023-10-27 12:10:53.716,718977.0,,,,,2.0,,2023-10-31 11:50:35.000,124.0,,,,,,,,,,,,,,,,,,, +190,BoTorch,pytorch/botorch,hyperopt,,https://github.com/pytorch/botorch,https://github.com/pytorch/botorch,MIT,2018-07-30 23:59:57.000,2023-11-16 12:02:26.000000,2023-11-15 23:16:56,1732.0,91.0,341.0,54.0,1465.0,67.0,385.0,2832.0,Bayesian optimization in PyTorch.,105.0,33,True,2023-11-06 23:46:14.000,0.9.4,41.0,botorch,conda-forge/botorch,,,['pytorch'],772.0,735.0,https://pypi.org/project/botorch,158813.0,161200.0,https://anaconda.org/conda-forge/botorch,2023-11-07 01:30:41.208,93103.0,,,,,1.0,,2023-11-06 23:46:14.000,37.0,,,,,,,,,,,,,,,,,,, +191,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 21:10:54.000,2023-11-11 16:03:37.000000,2021-10-12 13:32:38,1570.0,,502.0,64.0,538.0,303.0,391.0,2682.0,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,,,,5284.0,5015.0,https://pypi.org/project/scikit-optimize,566752.0,575842.0,https://anaconda.org/conda-forge/scikit-optimize,2023-06-16 13:23:01.487,690904.0,,,,,1.0,,2021-10-12 14:23:01.204,269.0,,,,,,,,,,,,,,,,,,, +192,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 13:08:13.000,2023-11-15 13:49:14.000000,2023-11-04 06:22:35,1628.0,14.0,317.0,61.0,179.0,119.0,191.0,2648.0,A machine learning toolkit dedicated to time-series data.,43.0,33,True,2023-08-21 13:31:48.000,0.6.2,99.0,tslearn,conda-forge/tslearn,,,['sklearn'],1059.0,1014.0,https://pypi.org/project/tslearn,309633.0,340391.0,https://anaconda.org/conda-forge/tslearn,2023-08-21 16:01:42.662,1261112.0,,,,,1.0,,2023-08-21 13:31:48.000,45.0,,,,,,,,,,,,,,,,,,, +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 19:32:37.000,2023-11-11 14:45:57.000000,2023-11-11 14:43:17,947.0,30.0,393.0,39.0,147.0,45.0,238.0,2296.0,A library of sklearn compatible categorical variable encoders.,67.0,33,True,2023-10-29 20:29:52.000,2.6.3,32.0,category_encoders,conda-forge/category_encoders,,,['sklearn'],1371.0,1206.0,https://pypi.org/project/category_encoders,1326463.0,1336294.0,https://anaconda.org/conda-forge/category_encoders,2023-10-30 01:23:52.252,245781.0,,,,,2.0,,2023-10-29 20:29:52.000,165.0,,,,,,,,,,,,,,,,,,, +194,Lifelines,CamDavidsonPilon/lifelines,medical-data,,https://github.com/CamDavidsonPilon/lifelines,https://github.com/CamDavidsonPilon/lifelines,MIT,2013-08-28 00:16:42.000,2023-11-15 13:02:20.000000,2023-11-15 13:02:20,2274.0,19.0,561.0,71.0,478.0,255.0,679.0,2203.0,Survival analysis in Python.,115.0,33,True,2023-09-13 15:31:06.000,0.27.8,169.0,lifelines,conda-forge/lifelines,,,,2090.0,1964.0,https://pypi.org/project/lifelines,384019.0,391216.0,https://anaconda.org/conda-forge/lifelines,2023-09-13 16:31:11.545,302289.0,,,,,2.0,,2023-09-13 15:31:06.000,126.0,,,,,,,,,,,,,,,,,,, +195,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 08:02:14.000,2023-10-20 21:22:57.000000,2023-10-20 21:22:57,3662.0,11.0,189.0,51.0,1333.0,126.0,704.0,1927.0,Ahead of Time compiler for numeric kernels.,72.0,33,True,2023-09-06 20:25:23.000,0.14.0,58.0,pythran,conda-forge/pythran,,,,1446.0,1424.0,https://pypi.org/project/pythran,175700.0,186886.0,https://anaconda.org/conda-forge/pythran,2023-09-21 12:37:53.939,425102.0,,,,,2.0,,2023-09-06 20:25:23.000,22.0,,,,,,,,,,,,,,,,,pythran,python-pythran, +196,jellyfish,jamesturk/jellyfish,nlp,,https://github.com/jamesturk/jellyfish,https://github.com/jamesturk/jellyfish,MIT,2010-07-09 20:41:11.000,2023-11-16 14:16:36.000000,2023-11-13 22:44:08,534.0,12.0,160.0,44.0,71.0,8.0,123.0,1922.0,a python library for doing approximate and phonetic matching of strings.,30.0,33,True,2023-09-18 23:14:35.000,1.0.1,41.0,jellyfish,conda-forge/jellyfish,,,,7779.0,7332.0,https://pypi.org/project/jellyfish,2386699.0,2404852.0,https://anaconda.org/conda-forge/jellyfish,2023-09-25 04:19:29.218,744287.0,,,,,2.0,,2023-09-18 23:14:35.000,447.0,,,,,,,,,,,,,,,,,,, +197,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 16:17:56,1077.0,4.0,227.0,35.0,249.0,51.0,271.0,1453.0,"A statistical library designed to fill the void in Pythons time series analysis capabilities, including the equivalent..",22.0,33,True,2023-10-23 16:52:00.000,2.0.4,44.0,pmdarima,conda-forge/pmdarima,,,,6673.0,6587.0,https://pypi.org/project/pmdarima,1676833.0,1704370.0,https://anaconda.org/conda-forge/pmdarima,2023-10-27 13:29:40.913,1018883.0,,,,,1.0,,2023-10-23 14:02:41.000,86.0,,,,,,,,,,,,,,,,,,, +198,ipyleaflet,jupyter-widgets/ipyleaflet,geospatial-data,,https://github.com/jupyter-widgets/ipyleaflet,https://github.com/jupyter-widgets/ipyleaflet,MIT,2014-05-07 16:32:10.000,2023-10-27 22:48:05.000000,2023-10-09 06:31:38,1150.0,4.0,348.0,63.0,572.0,249.0,342.0,1417.0,A Jupyter - Leaflet.js bridge.,85.0,33,True,2023-09-11 09:06:03.000,0.17.4,78.0,ipyleaflet,conda-forge/ipyleaflet,,,['jupyter'],6148.0,5985.0,https://pypi.org/project/ipyleaflet,166024.0,245299.0,https://anaconda.org/conda-forge/ipyleaflet,2023-09-11 12:39:04.948,1086286.0,,,,,2.0,,2023-09-11 09:06:03.000,158.0,,jupyter-leaflet,https://www.npmjs.com/package/jupyter-leaflet,53412.0,,2023-06-02 07:27:55.785,5.0,,,,,,,,,,,, +199,Hail,hail-is/hail,medical-data,,https://github.com/hail-is/hail,https://github.com/hail-is/hail,MIT,2015-10-27 20:55:42.000,2023-11-16 14:13:41.000000,2023-11-16 00:10:33,11208.0,293.0,232.0,58.0,11730.0,185.0,2130.0,895.0,Cloud-native genomic dataframes and batch computing.,90.0,33,True,2023-10-30 17:22:27.000,0.2.126,146.0,hail,,,,['spark'],132.0,115.0,https://pypi.org/project/hail,44141.0,44141.0,,,,,,,,2.0,,2023-10-30 17:22:27.000,17.0,,,,,,,,,,,,,,,,,,, +200,snowballstemmer,snowballstem/snowball,nlp,,https://github.com/snowballstem/snowball,https://github.com/snowballstem/snowball,BSD-3-Clause,2013-02-23 07:17:42.000,2023-11-09 02:19:13.000000,2023-11-09 02:15:57,1048.0,107.0,170.0,36.0,113.0,31.0,58.0,693.0,Snowball compiler and stemming algorithms.,34.0,33,True,2021-11-16 18:38:34.000,2.2.0,10.0,snowballstemmer,conda-forge/snowballstemmer,,,,6817.0,4.0,https://pypi.org/project/snowballstemmer,11018810.0,11104649.0,https://anaconda.org/conda-forge/snowballstemmer,2023-06-16 13:16:49.834,7468015.0,,,,,2.0,,2021-11-16 18:38:34.000,6813.0,,,,,,,,,,,,,,,,,,, +201,NiBabel,nipy/nibabel,medical-data,,https://github.com/nipy/nibabel,https://github.com/nipy/nibabel,MIT,2010-07-22 16:28:30.000,2023-11-08 17:48:19.000000,2023-11-07 21:01:51,5724.0,170.0,248.0,37.0,778.0,122.0,385.0,591.0,Python package to access a cacophony of neuro-imaging file formats.,100.0,33,True,2023-04-03 15:53:03.644,5.1.0,40.0,nibabel,conda-forge/nibabel,,,,16704.0,15530.0,https://pypi.org/project/nibabel,273223.0,289340.0,https://anaconda.org/conda-forge/nibabel,2023-09-29 18:53:45.076,660799.0,,,,,2.0,,2023-04-03 15:53:03.644,1174.0,,,,,,,,,,,,,,,,,,, +202,spleeter,deezer/spleeter,audio,,https://github.com/deezer/spleeter,https://github.com/deezer/spleeter,MIT,2019-09-26 15:40:46.000,2023-10-23 19:11:00.000000,2023-07-13 08:50:20,531.0,,2614.0,380.0,117.0,213.0,558.0,23828.0,Deezer source separation library including pretrained models.,19.0,32,True,2023-07-10 10:07:01.047,2.4.0,37.0,spleeter,conda-forge/spleeter,,,['tensorflow'],617.0,611.0,https://pypi.org/project/spleeter,16104.0,74119.0,https://anaconda.org/conda-forge/spleeter,2023-06-16 16:18:57.741,78672.0,,,,,2.0,2762438.0,2022-06-10 13:19:35.000,6.0,,,,,,,,,,,,,,,,,,, +203,Magenta,magenta/magenta,audio,,https://github.com/magenta/magenta,https://github.com/magenta/magenta,Apache-2.0,2016-05-05 20:10:40.000,2023-10-04 00:17:49.000000,2023-07-11 13:03:36,1421.0,,3721.0,765.0,1132.0,373.0,588.0,18728.0,Magenta: Music and Art Generation with Machine Intelligence.,155.0,32,True,2022-08-01 18:23:00.243,2.1.4,67.0,magenta,,,,['tensorflow'],512.0,474.0,https://pypi.org/project/magenta,3184.0,3184.0,,,,,,,,2.0,,2018-07-31 15:38:15.000,38.0,,,,,,,,,,,,,,,,,,, +204,zipline,quantopian/zipline,financial-data,,https://github.com/quantopian/zipline,https://github.com/quantopian/zipline,Apache-2.0,2012-10-19 15:50:29.000,2023-07-17 16:46:23.000000,2020-10-14 16:36:49,6226.0,,4627.0,998.0,1868.0,357.0,658.0,16601.0,"Zipline, a Pythonic Algorithmic Trading Library.",160.0,32,False,2020-10-05 15:46:20.429,1.4.1,30.0,zipline,conda-forge/zipline,,,,1045.0,960.0,https://pypi.org/project/zipline,2592.0,2786.0,https://anaconda.org/conda-forge/zipline,2023-06-16 19:21:35.991,7373.0,,,,,1.0,,2020-10-05 15:46:20.429,85.0,,,,,,,,,,,,,,,,,,, +205,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,,3293.0,465.0,671.0,589.0,672.0,14281.0,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'],1528.0,1438.0,https://pypi.org/project/tensor2tensor,4747.0,4747.0,,,,,,,,2.0,,2017-06-21 01:15:55.000,90.0,,,,,,,,,,,,,,,,,,, +206,PaddleDetection,PaddlePaddle/PaddleDetection,image,,https://github.com/PaddlePaddle/PaddleDetection,https://github.com/PaddlePaddle/PaddleDetection,Apache-2.0,2019-10-25 07:21:14.000,2023-11-14 07:54:46.000000,2023-09-27 02:38:06,2223.0,7.0,2695.0,195.0,3589.0,1276.0,3842.0,11420.0,"Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object..",157.0,32,True,2023-10-19 03:47:18.000,2.7.0,9.0,paddledet,,,,['paddle'],123.0,122.0,https://pypi.org/project/paddledet,709.0,709.0,,,,,,,,2.0,,2022-09-19 20:42:09.271,1.0,,,,,,,,,,,,,,,,,,, +207,wordcloud,amueller/word_cloud,data-viz,,https://github.com/amueller/word_cloud,https://github.com/amueller/word_cloud,MIT,2012-11-04 22:57:59.000,2023-10-12 17:53:25.000000,2023-10-04 01:39:27,564.0,1.0,2299.0,221.0,234.0,107.0,409.0,9738.0,A little word cloud generator in Python.,69.0,32,True,2023-05-18 18:12:02.829,1.9.2,19.0,wordcloud,conda-forge/wordcloud,,,,846.0,21.0,https://pypi.org/project/wordcloud,1384497.0,1395613.0,https://anaconda.org/conda-forge/wordcloud,2023-07-07 15:15:49.535,444663.0,,,,,2.0,,2023-05-18 18:12:02.829,825.0,,,,,,,,,,,,,,,,,,, +208,TPOT,EpistasisLab/tpot,hyperopt,,https://github.com/EpistasisLab/tpot,https://github.com/EpistasisLab/tpot,LGPL-3.0,2015-11-03 21:08:40.000,2023-09-06 21:46:11.000000,2023-09-06 21:46:11,2424.0,2.0,1542.0,291.0,424.0,281.0,634.0,9302.0,A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.,116.0,32,False,2023-08-15 18:22:07.000,0.12.1,62.0,tpot,conda-forge/tpot,,,['sklearn'],2513.0,2452.0,https://pypi.org/project/tpot,40096.0,45951.0,https://anaconda.org/conda-forge/tpot,2023-08-15 22:49:07.495,240076.0,,,,,2.0,,2023-08-15 18:22:07.000,61.0,,,,,,,,,,,,,,,,,,, +209,Pydub,jiaaro/pydub,audio,,https://github.com/jiaaro/pydub,https://github.com/jiaaro/pydub,MIT,2011-05-02 18:42:38.000,2023-08-14 20:55:28.000000,2022-12-08 17:49:19,746.0,,964.0,134.0,217.0,320.0,268.0,7858.0,Manipulate audio with a simple and easy high level interface.,95.0,32,True,2021-03-10 02:10:41.000,0.25.1,68.0,pydub,conda-forge/pydub,,,,43482.0,42272.0,https://pypi.org/project/pydub,2888247.0,2889513.0,https://anaconda.org/conda-forge/pydub,2023-06-16 16:12:25.533,74722.0,,,,,2.0,,2021-03-10 02:09:53.000,1210.0,,,,,,,,,,,,,,,,,,, +210,SpeechRecognition,Uberi/speech_recognition,audio,,https://github.com/Uberi/speech_recognition,https://github.com/Uberi/speech_recognition,BSD-3-Clause,2014-04-23 04:53:54.000,2023-11-08 23:29:28.000000,2023-03-13 12:21:37,454.0,,2291.0,282.0,133.0,298.0,309.0,7661.0,"Speech recognition module for Python, supporting several engines and APIs, online and offline.",49.0,32,True,2023-03-14 12:04:32.000,3.10.0,54.0,SpeechRecognition,conda-forge/speechrecognition,,,,838.0,21.0,https://pypi.org/project/SpeechRecognition,482681.0,484686.0,https://anaconda.org/conda-forge/speechrecognition,2023-06-16 13:24:04.552,174486.0,,,,,2.0,,2022-12-04 12:47:02.703,817.0,,,,,,,,,,,,,,,,,,, +211,DeepPavlov,deepmipt/DeepPavlov,nlp,,https://github.com/deeppavlov/DeepPavlov,https://github.com/deeppavlov/DeepPavlov,Apache-2.0,2017-11-17 14:35:29.000,2023-11-16 13:56:10.000000,2023-10-17 11:40:34,2699.0,6.0,1117.0,211.0,1042.0,18.0,613.0,6395.0,An open source library for deep learning end-to-end dialog systems and chatbots.,76.0,32,True,2023-10-17 11:41:15.000,1.4.0,61.0,deeppavlov,,,,['tensorflow'],362.0,362.0,https://pypi.org/project/deeppavlov,10522.0,10522.0,,,,,,,,2.0,,,,,,,,,,,deeppavlov/DeepPavlov,,,,,,,,,,, +212,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 17:20:35.000,2023-11-11 19:20:33.000000,2023-07-25 15:00:08,1165.0,,626.0,65.0,127.0,50.0,425.0,5539.0,"The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.",38.0,32,True,2023-07-25 15:01:13.000,2.3.0,207.0,pytorch-metric-learning,metric-learning/pytorch-metric-learning,,,['pytorch'],1032.0,1013.0,https://pypi.org/project/pytorch-metric-learning,361116.0,361352.0,https://anaconda.org/metric-learning/pytorch-metric-learning,2023-06-16 19:17:36.446,10875.0,,,,,1.0,,2023-07-25 14:56:04.000,19.0,,,,,,,,,,,,,,,,,,, +213,pyfolio,quantopian/pyfolio,financial-data,,https://github.com/quantopian/pyfolio,https://github.com/quantopian/pyfolio,Apache-2.0,2015-06-01 15:31:39.000,2023-10-09 03:38:19.000000,2020-07-15 13:46:58,1184.0,,1594.0,305.0,293.0,152.0,266.0,5216.0,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,,,,936.0,902.0,https://pypi.org/project/pyfolio,10174.0,10357.0,https://anaconda.org/conda-forge/pyfolio,2023-06-16 16:07:59.111,12634.0,,,,,1.0,,2019-04-15 15:00:21.000,34.0,,,,,,,,,,,,,,,,,,, +214,River,online-ml/river,others,,https://github.com/online-ml/river,https://github.com/online-ml/river,BSD-3-Clause,2019-01-24 15:18:26.000,2023-11-15 20:39:53.000000,2023-11-09 14:51:14,3801.0,72.0,543.0,85.0,529.0,94.0,455.0,4508.0,Online machine learning in Python.,106.0,32,True,2023-11-09 14:20:01.000,0.20.0,19.0,river,conda-forge/river,,,,404.0,375.0,https://pypi.org/project/river,22491.0,24132.0,https://anaconda.org/conda-forge/river,2023-10-06 14:40:00.791,50883.0,,,,,2.0,,2023-11-09 14:06:35.000,29.0,,,,,,,,,,,,,,,,,,, +215,Captum,pytorch/captum,interpretability,,https://github.com/pytorch/captum,https://github.com/pytorch/captum,BSD-3-Clause,2019-08-27 15:34:41.000,2023-11-15 20:30:39.000000,2023-11-10 17:02:30,1032.0,15.0,440.0,225.0,719.0,175.0,328.0,4269.0,Model interpretability and understanding for PyTorch.,102.0,32,True,2022-12-28 01:14:50.000,0.6.0,9.0,captum,conda-forge/captum,,,['pytorch'],1623.0,1577.0,https://pypi.org/project/captum,116566.0,117349.0,https://anaconda.org/conda-forge/captum,2023-06-16 19:28:19.191,18016.0,,,,,1.0,,2022-12-27 23:25:01.082,46.0,,,,,,,,,,,,,,,,,,, +216,NeuralProphet,ourownstory/neural_prophet,time-series-data,,https://github.com/ourownstory/neural_prophet,https://github.com/ourownstory/neural_prophet,MIT,2020-05-04 05:12:43.000,2023-11-07 00:26:23.000000,2023-11-07 00:26:23,1390.0,42.0,436.0,52.0,734.0,44.0,451.0,3398.0,NeuralProphet: A simple forecasting package.,50.0,32,True,2023-06-14 22:41:07.000,0.6.2,27.0,neuralprophet,,,,['pytorch'],334.0,331.0,https://pypi.org/project/neuralprophet,68684.0,68684.0,,,,,,,,2.0,,2023-09-19 18:17:10.000,3.0,,,,,,,,,,,,,,,,,,, +217,StatsForecast,Nixtla/statsforecast,time-series-data,,https://github.com/Nixtla/statsforecast,https://github.com/Nixtla/statsforecast,Apache-2.0,2021-11-24 02:19:14.000,2023-11-15 22:14:42.000000,2023-11-15 17:05:35,1219.0,33.0,220.0,30.0,379.0,105.0,145.0,3172.0,Lightning fast forecasting with statistical and econometric models.,34.0,32,True,2023-11-13 18:17:17.000,1.6.0,27.0,statsforecast,conda-forge/statsforecast,,,,588.0,567.0,https://pypi.org/project/statsforecast,534921.0,537633.0,https://anaconda.org/conda-forge/statsforecast,2023-08-25 15:46:41.512,54253.0,,,,,2.0,,2023-08-23 19:27:53.000,21.0,,,,,,,,,,,,,,,,,,, +218,filterpy,rlabbe/filterpy,probabilistics,,https://github.com/rlabbe/filterpy,https://github.com/rlabbe/filterpy,MIT,2014-07-15 02:15:19.000,2023-11-09 13:51:49.000000,2022-08-22 18:21:12,586.0,,568.0,78.0,75.0,60.0,161.0,2940.0,"Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman..",43.0,32,False,2021-12-15 15:49:27.374,0.0.13,49.0,filterpy,conda-forge/filterpy,,,,4561.0,4395.0,https://pypi.org/project/filterpy,1896358.0,1899451.0,https://anaconda.org/conda-forge/filterpy,2023-06-16 13:24:39.196,238235.0,,,,,2.0,,2018-10-10 22:38:24.000,166.0,,,,,,,,,,,,,,,,,,, +219,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 22:38:21.000,2023-11-15 05:32:14.000000,2023-11-07 23:08:48,1076.0,41.0,382.0,64.0,483.0,201.0,265.0,2783.0,A Hyperparameter Tuning Library for Keras.,59.0,32,True,2023-11-07 19:38:18.000,1.4.6,34.0,keras-tuner,conda-forge/keras-tuner,,,['tensorflow'],2918.0,2858.0,https://pypi.org/project/keras-tuner,179243.0,180214.0,https://anaconda.org/conda-forge/keras-tuner,2023-11-10 05:23:26.167,26234.0,,,,,2.0,,2023-11-07 19:38:18.000,60.0,,,,,,,,,,,,,,,,,,, +220,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 07:14:02.000,2023-11-15 14:34:42.000000,2023-11-15 14:34:37,961.0,32.0,221.0,40.0,516.0,71.0,171.0,2639.0,JAX-based neural network library.,79.0,32,True,2023-11-10 14:04:13.000,0.0.11,13.0,dm-haiku,conda-forge/dm-haiku,,,,1561.0,1561.0,https://pypi.org/project/dm-haiku,221996.0,222411.0,https://anaconda.org/conda-forge/dm-haiku,2023-11-10 15:32:28.698,13702.0,,,,,3.0,,,,,,,,,,,google-deepmind/dm-haiku,,,,,,,,,,, +221,TF-Agents,tensorflow/agents,reinforcement-learning,,https://github.com/tensorflow/agents,https://github.com/tensorflow/agents,Apache-2.0,2018-11-17 00:29:12.000,2023-11-14 17:38:46.000000,2023-11-14 17:37:49,2261.0,25.0,688.0,78.0,197.0,184.0,460.0,2621.0,"TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.",145.0,32,True,2023-10-03 11:38:48.000,0.18.0,49.0,tf-agents,,,,['tensorflow'],1342.0,1337.0,https://pypi.org/project/tf-agents,38277.0,38277.0,,,,,,,,1.0,,2023-10-03 11:38:48.000,5.0,,,,,,,,,,,,,,,,,,, +222,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 13:32:37.000,2023-11-14 16:26:52.000000,2023-11-10 14:12:21,996.0,7.0,460.0,55.0,135.0,330.0,163.0,2567.0,A high performance implementation of HDBSCAN clustering.,86.0,32,True,2023-07-18 17:54:02.116,0.8.33,50.0,hdbscan,conda-forge/hdbscan,,,['sklearn'],3033.0,2815.0,https://pypi.org/project/hdbscan,540502.0,588202.0,https://anaconda.org/conda-forge/hdbscan,2023-10-06 14:12:48.829,1764935.0,,,,,2.0,,2023-07-18 17:54:02.116,218.0,,,,,,,,,,,,,,,,,,, +223,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 02:26:03.000,2023-11-16 09:55:01.000000,2023-11-14 17:25:47,2400.0,350.0,213.0,26.0,1053.0,75.0,218.0,2438.0,Database system for AI-powered apps.,69.0,32,True,2023-10-18 21:51:25.000,0.3.8,35.0,evadb,,,,['pytorch'],112.0,112.0,https://pypi.org/project/evadb,14033.0,39509.0,,,,,,,,3.0,407631.0,,,,,,,,,,georgia-tech-db/evadb,,,,,,,,,,, +224,TFX,tensorflow/tfx,tensorflow-utils,,https://github.com/tensorflow/tfx,https://github.com/tensorflow/tfx,Apache-2.0,2019-02-04 17:14:36.000,2023-11-16 11:06:22.000000,2023-11-15 19:25:35,5389.0,149.0,666.0,89.0,5560.0,93.0,842.0,2021.0,TFX is an end-to-end platform for deploying production ML pipelines.,178.0,32,True,2023-09-06 18:31:57.000,1.14.0,95.0,tfx,,,,['tensorflow'],14.0,,https://pypi.org/project/tfx,79891.0,79891.0,,,,,,,,2.0,,2023-09-06 22:01:30.000,14.0,,,,,,,,,,,,,,,,,,, +225,PennyLane,PennyLaneAI/PennyLane,others,,https://github.com/PennyLaneAI/pennylane,https://github.com/PennyLaneAI/pennylane,Apache-2.0,2018-04-17 16:45:42.000,2023-11-16 14:11:01.000000,2023-11-15 16:24:12,3712.0,173.0,498.0,54.0,3797.0,321.0,820.0,1959.0,PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum..,147.0,32,True,2023-11-08 21:58:24.000,0.33.1,52.0,pennylane,conda-forge/pennylane,,,,731.0,668.0,https://pypi.org/project/pennylane,41915.0,43103.0,https://anaconda.org/conda-forge/pennylane,2023-11-02 19:53:25.357,28500.0,,,,,2.0,70.0,2023-11-08 21:58:24.000,63.0,,,,,,,,,,,,,,,,,,, +226,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 01:09:14.000,2023-11-16 03:50:43.000000,2023-10-16 17:20:19,4118.0,95.0,1075.0,154.0,1076.0,45.0,600.0,1669.0,Documentation and samples for ArcGIS API for Python.,89.0,32,True,2023-10-03 15:37:18.000,2.2.0,39.0,arcgis,,esridocker/arcgis-api-python-notebook,,,35.0,3.0,https://pypi.org/project/arcgis,74697.0,74809.0,,,,https://hub.docker.com/r/esridocker/arcgis-api-python-notebook,,,,3.0,9697.0,2023-10-18 17:19:02.000,32.0,,,,,,,,,,,,,,,,,,, +227,evaluate,huggingface/evaluate,interpretability,,https://github.com/huggingface/evaluate,https://github.com/huggingface/evaluate,Apache-2.0,2022-03-30 15:08:26.000,2023-11-02 14:07:02.000000,2023-11-02 14:07:02,936.0,6.0,181.0,48.0,295.0,127.0,121.0,1598.0,Evaluate: A library for easily evaluating machine learning models and datasets.,123.0,32,True,2023-10-13 15:57:18.000,0.4.1,14.0,evaluate,,,,,4978.0,4851.0,https://pypi.org/project/evaluate,1417905.0,1417905.0,,,,,,,,1.0,,2023-10-13 15:54:47.000,127.0,,,,,,,,,,,,,,,,,,, +228,Geocoder,DenisCarriere/geocoder,geospatial-data,,https://github.com/DenisCarriere/geocoder,https://github.com/DenisCarriere/geocoder,MIT,2014-01-13 04:19:21.000,2023-11-14 19:50:28.000000,2018-10-12 15:53:05,1251.0,,282.0,52.0,156.0,104.0,218.0,1561.0,Python Geocoder.,73.0,32,False,2021-12-15 15:58:16.110,1.1.4,110.0,geocoder,conda-forge/geocoder,,,,8697.0,8174.0,https://pypi.org/project/geocoder,405255.0,406915.0,https://anaconda.org/conda-forge/geocoder,2023-06-16 13:21:27.128,134490.0,,,,,3.0,,2021-12-15 15:58:16.110,523.0,,,,,,,,,,,,,,,,,,,geocoder +229,igraph,igraph/python-igraph,graph,,https://github.com/igraph/python-igraph,https://github.com/igraph/python-igraph,GPL-2.0,2015-01-08 23:55:16.000,2023-11-05 11:05:52.000000,2023-11-05 11:05:52,2756.0,81.0,263.0,34.0,196.0,36.0,488.0,1177.0,Python interface for igraph.,71.0,32,False,2023-10-12 21:32:31.000,0.11.2,38.0,python-igraph,conda-forge/igraph,,,,411.0,,https://pypi.org/project/python-igraph,304863.0,323888.0,https://anaconda.org/conda-forge/igraph,2023-10-04 20:43:38.652,477953.0,,,,,1.0,561975.0,2023-10-12 21:32:31.000,411.0,,,,,,,,,,,,,,,,,,, +230,pyopencl,inducer/pyopencl,others,,https://github.com/inducer/pyopencl,https://github.com/inducer/pyopencl,MIT,2011-04-06 02:51:33.000,2023-10-18 18:59:53.000000,2023-10-18 18:59:52,3272.0,11.0,242.0,48.0,347.0,72.0,262.0,997.0,"OpenCL integration for Python, plus shiny features.",95.0,32,True,2023-10-12 23:06:24.000,2023.1.4,94.0,pyopencl,conda-forge/pyopencl,,,,1905.0,1700.0,https://pypi.org/project/pyopencl,70584.0,94049.0,https://anaconda.org/conda-forge/pyopencl,2023-10-13 14:22:03.075,962072.0,,,,,2.0,,2023-10-12 23:06:24.000,205.0,,,,,,,,,,,,,,,,,,, +231,hvPlot,holoviz/hvplot,data-viz,,https://github.com/holoviz/hvplot,https://github.com/holoviz/hvplot,BSD-3-Clause,2018-03-19 14:22:41.000,2023-11-15 13:14:22.000000,2023-11-14 18:42:42,626.0,44.0,88.0,23.0,473.0,290.0,387.0,822.0,"A high-level plotting API for pandas, dask, xarray, and networkx built on HoloViews.",44.0,32,True,2023-10-17 08:55:43.000,0.9.0,60.0,hvplot,conda-forge/hvplot,,,,4023.0,3930.0,https://pypi.org/project/hvplot,119413.0,131588.0,https://anaconda.org/conda-forge/hvplot,2023-10-16 18:32:23.923,499189.0,,,,,2.0,,2023-10-16 15:05:47.000,93.0,,,,,,,,,,,,,,,,,,, +232,tinygrad,geohot/tinygrad,pytorch-utils,,https://github.com/tinygrad/tinygrad,https://github.com/tinygrad/tinygrad,MIT,2020-10-18 16:23:12.000,2023-11-16 13:43:43.000000,2023-11-16 02:47:18,2794.0,495.0,2153.0,259.0,1880.0,69.0,327.0,20365.0,You like pytorch? You like micrograd? You love tinygrad!.,236.0,31,True,2023-08-27 16:40:37.000,0.7.0,4.0,,,,,['pytorch'],29.0,29.0,,,,,,,,,,,1.0,,,,,,,,,,,tinygrad/tinygrad,,,,,,,,,,, +233,Sonnet,deepmind/sonnet,ml-frameworks,,https://github.com/google-deepmind/sonnet,https://github.com/google-deepmind/sonnet,Apache-2.0,2017-04-03 11:34:35.000,2023-07-21 09:09:23.000000,2023-07-21 09:09:17,859.0,,1268.0,419.0,82.0,32.0,158.0,9621.0,TensorFlow-based neural network library.,58.0,31,True,2020-03-27 10:36:19.000,2.0.0,13.0,dm-sonnet,conda-forge/sonnet,,,['tensorflow'],1174.0,1174.0,https://pypi.org/project/dm-sonnet,20023.0,20571.0,https://anaconda.org/conda-forge/sonnet,2023-06-16 16:19:12.602,26307.0,,,,,3.0,,,,,,,,,,,google-deepmind/sonnet,,,,,,,,,,, +234,TFlearn,tflearn/tflearn,ml-frameworks,,https://github.com/tflearn/tflearn,https://github.com/tflearn/tflearn,,2016-03-31 12:05:53.000,2023-11-13 18:35:20.000000,2020-11-30 04:34:51,613.0,,2324.0,461.0,259.0,555.0,362.0,9602.0,Deep learning library featuring a higher-level API for TensorFlow.,128.0,31,False,2020-11-11 19:26:11.000,0.5.0,8.0,tflearn,,,,['tensorflow'],4698.0,4698.0,https://pypi.org/project/tflearn,8205.0,8205.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +235,AutoKeras,keras-team/autokeras,hyperopt,,https://github.com/keras-team/autokeras,https://github.com/keras-team/autokeras,Apache-2.0,2017-11-19 23:18:20.000,2023-10-02 22:40:56.000000,2023-10-02 22:40:55,1387.0,2.0,1406.0,303.0,889.0,129.0,758.0,8976.0,AutoML library for deep learning.,143.0,31,True,2023-01-28 18:46:30.271,1.1.0,58.0,autokeras,,,,['tensorflow'],604.0,593.0,https://pypi.org/project/autokeras,12663.0,12904.0,,,,,,,,2.0,17365.0,2022-04-30 05:46:13.000,11.0,,,,,,,,,,,,,,,,,,, +236,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 12:04:19,383.0,5.0,2093.0,288.0,96.0,295.0,446.0,8137.0,A python library built to empower developers to build applications and systems with self-contained Computer Vision..,19.0,31,True,2023-01-02 17:10:24.749,3.0.3,13.0,imageai,conda-forge/imageai,,,,1497.0,1479.0,https://pypi.org/project/imageai,7937.0,21412.0,https://anaconda.org/conda-forge/imageai,2023-06-16 19:21:01.568,6644.0,,,,,2.0,891724.0,2023-01-02 17:10:24.749,18.0,,,,,,,,,,,,,,,,,,, +237,tsfresh,blue-yonder/tsfresh,time-series-data,,https://github.com/blue-yonder/tsfresh,https://github.com/blue-yonder/tsfresh,MIT,2016-10-26 11:29:17.000,2023-10-24 19:57:22.000000,2023-10-24 19:51:03,547.0,3.0,1158.0,166.0,427.0,58.0,469.0,7825.0,Automatic extraction of relevant features from time series:.,91.0,31,True,2023-06-14 21:34:06.791,0.20.1,30.0,tsfresh,conda-forge/tsfresh,,,['sklearn'],97.0,21.0,https://pypi.org/project/tsfresh,227753.0,259280.0,https://anaconda.org/conda-forge/tsfresh,2023-07-30 07:29:21.371,1324174.0,,,,,2.0,,2021-12-21 03:37:03.000,76.0,,,,,,,,,,,,,,,,,,, +238,auto-sklearn,automl/auto-sklearn,hyperopt,,https://github.com/automl/auto-sklearn,https://github.com/automl/auto-sklearn,BSD-3-Clause,2015-07-02 15:38:10.000,2023-10-18 14:39:11.000000,2023-04-18 11:08:13,2759.0,,1239.0,215.0,705.0,173.0,827.0,7201.0,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'],551.0,512.0,https://pypi.org/project/auto-sklearn,19925.0,20575.0,https://anaconda.org/conda-forge/auto-sklearn,2023-06-16 19:25:30.278,20160.0,,,,,2.0,50.0,2022-09-20 10:32:07.471,39.0,,,,,,,,,,,,,,,,,,, +239,Bayesian Optimization,fmfn/BayesianOptimization,hyperopt,,https://github.com/bayesian-optimization/BayesianOptimization,https://github.com/bayesian-optimization/BayesianOptimization,MIT,2014-06-06 08:18:56.000,2023-10-22 10:20:09.000000,2023-07-14 06:46:40,354.0,,1455.0,135.0,126.0,13.0,309.0,7111.0,A Python implementation of global optimization with gaussian processes.,41.0,31,True,2023-04-25 22:00:01.831,1.4.3,14.0,bayesian-optimization,,,,,2281.0,2178.0,https://pypi.org/project/bayesian-optimization,219405.0,219406.0,,,,,,,,2.0,139.0,2023-04-25 22:00:01.831,103.0,,,,,,,,bayesian-optimization/BayesianOptimization,,,,,,,,,,, +240,cleanlab,cleanlab/cleanlab,others,,https://github.com/cleanlab/cleanlab,https://github.com/cleanlab/cleanlab,AGPL-3.0,2018-05-11 01:55:21.000,2023-11-16 13:01:39.000000,2023-11-16 10:48:30,1470.0,101.0,551.0,72.0,585.0,76.0,195.0,6989.0,"The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.",39.0,31,False,2023-09-11 17:53:22.000,2.5.0,24.0,cleanlab,conda-forge/cleanlab,,,,210.0,202.0,https://pypi.org/project/cleanlab,16852.0,17448.0,https://anaconda.org/conda-forge/cleanlab,2023-09-12 22:14:32.939,18505.0,,,,,2.0,,2023-09-11 17:53:22.000,8.0,,,,,,,,,,,,,,,,,,, +241,Perspective,finos/perspective,data-viz,,https://github.com/finos/perspective,https://github.com/finos/perspective,Apache-2.0,2017-11-02 16:27:54.000,2023-11-15 22:13:15.000000,2023-11-14 16:20:36,5797.0,76.0,856.0,112.0,1560.0,101.0,580.0,6931.0,"A data visualization and analytics component, especially well-suited for large and/or streaming datasets.",93.0,31,True,2023-11-01 07:55:13.000,2.6.1,115.0,perspective-python,conda-forge/perspective,,,['jupyter'],117.0,101.0,https://pypi.org/project/perspective-python,7848.0,20832.0,https://anaconda.org/conda-forge/perspective,2023-11-06 15:43:21.069,480330.0,,,,,2.0,1572.0,2023-11-01 07:50:20.000,13.0,,@finos/perspective-jupyterlab,https://www.npmjs.com/package/@finos/perspective-jupyterlab,876.0,,2023-11-01 07:49:51.309,3.0,,,,,,,,,,,, +242,Darts,unit8co/darts,time-series-data,,https://github.com/unit8co/darts,https://github.com/unit8co/darts,Apache-2.0,2018-09-13 15:17:28.000,2023-11-16 13:16:28.000000,2023-11-16 13:16:24,1105.0,38.0,726.0,62.0,865.0,237.0,980.0,6641.0,A python library for user-friendly forecasting and anomaly detection on time series.,105.0,31,True,2023-09-16 18:00:33.000,0.26.0,37.0,u8darts,conda-forge/u8darts-all,unit8/darts,,,418.0,413.0,https://pypi.org/project/u8darts,12709.0,14062.0,https://anaconda.org/conda-forge/u8darts-all,2023-09-16 21:13:02.960,37711.0,https://hub.docker.com/r/unit8/darts,2023-09-16 17:47:31.409750,,442.0,2.0,,2023-09-16 18:00:33.000,5.0,,,,,,,,,,,,,,,,,,, +243,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,,1809.0,200.0,206.0,10.0,1343.0,6285.0,"A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility.",58.0,31,True,2019-01-18 19:18:13.000,doc-v0.9.0.1,3.0,tensorpack,conda-forge/tensorpack,,,['tensorflow'],1395.0,1395.0,https://pypi.org/project/tensorpack,13960.0,14366.0,https://anaconda.org/conda-forge/tensorpack,2023-06-16 19:27:42.012,10119.0,,,,,3.0,159.0,,,,,,,,,,,,,,,,,,,,, +244,kaggle,Kaggle/kaggle-api,ml-experiments,,https://github.com/Kaggle/kaggle-api,https://github.com/Kaggle/kaggle-api,Apache-2.0,2018-01-25 03:02:39.000,2023-10-28 21:21:00.000000,2023-07-17 16:59:29,152.0,,1011.0,199.0,93.0,135.0,281.0,5643.0,Official Kaggle API.,37.0,31,True,2023-07-17 17:06:58.000,1.5.16,59.0,kaggle,conda-forge/kaggle,,,,395.0,21.0,https://pypi.org/project/kaggle,196249.0,199937.0,https://anaconda.org/conda-forge/kaggle,2023-07-18 03:35:17.292,140170.0,,,,,2.0,,2023-09-19 19:12:15.000,374.0,,,,,,,,,,,,,,,,,,, +245,skorch,skorch-dev/skorch,ml-frameworks,,https://github.com/skorch-dev/skorch,https://github.com/skorch-dev/skorch,BSD-3-Clause,2017-07-18 00:13:54.000,2023-10-30 14:27:57.000000,2023-10-29 22:14:08,1076.0,7.0,355.0,83.0,517.0,50.0,447.0,5397.0,A scikit-learn compatible neural network library that wraps PyTorch.,60.0,31,True,2023-09-04 10:10:59.000,0.15.0,15.0,skorch,conda-forge/skorch,,,"['pytorch', 'sklearn']",1005.0,1005.0,https://pypi.org/project/skorch,54173.0,74620.0,https://anaconda.org/conda-forge/skorch,2023-09-06 08:43:59.780,777000.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +246,mlpack,mlpack/mlpack,ml-frameworks,,https://github.com/mlpack/mlpack,https://github.com/mlpack/mlpack,BSD-3-Clause,2014-12-17 18:16:59.000,2023-11-16 14:04:48.000000,2023-11-05 13:32:01,28821.0,39.0,1520.0,182.0,2006.0,28.0,1535.0,4595.0,"mlpack: a fast, header-only C++ machine learning library.",308.0,31,True,2023-10-16 11:06:45.000,4.2.1,45.0,mlpack,conda-forge/mlpack,,,,1.0,,https://pypi.org/project/mlpack,1003.0,4986.0,https://anaconda.org/conda-forge/mlpack,2023-06-17 04:40:48.549,163329.0,,,,,3.0,,2023-09-07 13:37:40.000,1.0,,,,,,,,,,,,,,,,,,, +247,imutils,PyImageSearch/imutils,image,,https://github.com/PyImageSearch/imutils,https://github.com/PyImageSearch/imutils,MIT,2015-01-11 20:05:39.000,2023-11-12 21:40:25.000000,2022-01-27 13:24:16,139.0,,1009.0,154.0,113.0,150.0,79.0,4413.0,"A series of convenience functions to make basic image processing operations such as translation, rotation, resizing,..",21.0,31,False,2021-01-15 10:53:17.000,0.5.4,29.0,imutils,conda-forge/imutils,,,,39333.0,38491.0,https://pypi.org/project/imutils,420749.0,424532.0,https://anaconda.org/conda-forge/imutils,2023-10-27 09:12:56.985,151352.0,,,,,2.0,,2021-01-15 10:53:17.000,842.0,,,,,,,,,,,,,,,,,,, +248,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 09:34:48.000,2023-11-11 16:19:02.000000,2023-10-23 13:17:06,765.0,32.0,355.0,71.0,275.0,56.0,493.0,4339.0,Visualizer for pandas data structures.,30.0,31,True,2023-10-02 20:11:29.000,3.7.0,175.0,dtale,conda-forge/dtale,,,"['pandas', 'jupyter']",952.0,931.0,https://pypi.org/project/dtale,119956.0,126068.0,https://anaconda.org/conda-forge/dtale,2023-10-02 20:41:19.114,256745.0,,,,,2.0,,2023-10-02 19:47:12.000,21.0,,,,,,,,,,,,,,,,,,, +249,GluonTS,awslabs/gluon-ts,time-series-data,,https://github.com/awslabs/gluonts,https://github.com/awslabs/gluonts,Apache-2.0,2019-05-15 17:17:29.000,2023-11-14 18:02:47.000000,2023-11-13 10:13:04,1428.0,43.0,754.0,75.0,1746.0,275.0,619.0,3893.0,Probabilistic time series modeling in Python.,110.0,31,True,2023-11-14 11:09:26.000,0.14.1,101.0,gluonts,anaconda/gluonts,,,['mxnet'],13.0,,https://pypi.org/project/gluonts,305937.0,305961.0,https://anaconda.org/anaconda/gluonts,2023-06-23 14:26:58.411,624.0,,,,,2.0,,2023-11-14 11:09:26.000,13.0,,,,,,,,,,,,,,,,,,, +250,ta,bukosabino/ta,financial-data,,https://github.com/bukosabino/ta,https://github.com/bukosabino/ta,MIT,2018-01-02 18:08:48.000,2023-11-05 18:03:02.000000,2023-11-02 13:49:44,662.0,38.0,822.0,147.0,125.0,124.0,104.0,3813.0,Technical Analysis Library using Pandas and Numpy.,34.0,31,True,2023-11-02 13:53:35.000,0.11.0,56.0,ta,conda-forge/ta,,,,2755.0,2711.0,https://pypi.org/project/ta,77980.0,78618.0,https://anaconda.org/conda-forge/ta,2023-11-02 22:03:30.766,21082.0,,,,,2.0,,2023-11-02 13:53:35.000,44.0,,,,,,,,,,,,,,,,,,, +251,nevergrad,facebookresearch/nevergrad,hyperopt,,https://github.com/facebookresearch/nevergrad,https://github.com/facebookresearch/nevergrad,MIT,2018-11-21 00:33:17.000,2023-11-16 14:04:48.000000,2023-11-10 21:18:11,1072.0,17.0,342.0,60.0,1326.0,116.0,172.0,3738.0,A Python toolbox for performing gradient-free optimization.,50.0,31,True,2023-10-10 10:46:49.000,1.0.0,45.0,nevergrad,conda-forge/nevergrad,,,,591.0,564.0,https://pypi.org/project/nevergrad,78443.0,79482.0,https://anaconda.org/conda-forge/nevergrad,2023-09-21 13:51:23.949,43673.0,,,,,2.0,,2023-10-10 10:46:49.000,27.0,,,,,,,,,,,,,,,,,,, +252,hnswlib,nmslib/hnswlib,nn-search,,https://github.com/nmslib/hnswlib,https://github.com/nmslib/hnswlib,Apache-2.0,2017-07-06 13:08:46.000,2023-11-06 15:04:43.000000,2023-02-05 22:03:50,437.0,,512.0,63.0,209.0,171.0,148.0,3624.0,Header-only C++/python library for fast approximate nearest neighbors.,65.0,31,True,2023-02-07 20:10:08.000,0.7.0,10.0,hnswlib,conda-forge/hnswlib,,,,5471.0,5420.0,https://pypi.org/project/hnswlib,708208.0,711582.0,https://anaconda.org/conda-forge/hnswlib,2023-09-27 14:20:16.958,118118.0,,,,,2.0,,2023-02-05 22:20:00.654,51.0,,,,,,,,,,,,,,,,,,, +253,gpustat,wookayin/gpustat,gpu-utilities,,https://github.com/wookayin/gpustat,https://github.com/wookayin/gpustat,MIT,2016-04-24 10:46:43.000,2023-11-01 02:26:40.000000,2023-11-01 02:18:41,243.0,8.0,262.0,46.0,49.0,29.0,92.0,3615.0,A simple command-line utility for querying and monitoring GPU status.,17.0,31,True,2023-08-22 19:40:33.000,1.1.1,15.0,gpustat,conda-forge/gpustat,,,,4396.0,4265.0,https://pypi.org/project/gpustat,1091520.0,1099063.0,https://anaconda.org/conda-forge/gpustat,2023-08-23 10:35:25.821,271558.0,,,,,2.0,,2023-08-22 19:39:06.000,131.0,,,,,,,,,,,,,,,,,,, +254,dyNET,clab/dynet,ml-frameworks,,https://github.com/clab/dynet,https://github.com/clab/dynet,Apache-2.0,2015-02-08 23:09:21.000,2023-11-08 12:40:01.000000,2023-11-08 12:40:01,3273.0,1.0,703.0,185.0,736.0,262.0,669.0,3399.0,DyNet: The Dynamic Neural Network Toolkit.,160.0,31,True,2020-10-21 14:31:01.000,2.1.2,24.0,dyNET,,,,,280.0,251.0,https://pypi.org/project/dyNET,219887.0,220047.0,,,,,,,,3.0,13601.0,2020-10-21 14:31:01.000,29.0,,,,,,,,,,,,,,,,,,, +255,implicit,benfred/implicit,recommender-systems,,https://github.com/benfred/implicit,https://github.com/benfred/implicit,MIT,2016-04-17 03:45:23.000,2023-10-12 06:56:41.568000,2023-10-11 17:58:18,434.0,9.0,602.0,79.0,226.0,76.0,403.0,3314.0,Fast Python Collaborative Filtering for Implicit Feedback Datasets.,34.0,31,True,2023-09-29 21:07:11.000,0.7.2,47.0,implicit,conda-forge/implicit,,,,1196.0,1157.0,https://pypi.org/project/implicit,222416.0,236824.0,https://anaconda.org/conda-forge/implicit,2023-10-12 06:56:41.568,546475.0,,,,,1.0,622.0,2023-09-29 21:07:11.000,39.0,,,,,,,,,,,,,,,,,,, +256,GPyTorch,cornellius-gp/gpytorch,probabilistics,,https://github.com/cornellius-gp/gpytorch,https://github.com/cornellius-gp/gpytorch,MIT,2017-06-09 14:48:20.000,2023-11-15 18:20:05.000000,2023-11-13 18:59:50,3823.0,5.0,504.0,57.0,871.0,320.0,963.0,3281.0,A highly efficient implementation of Gaussian Processes in PyTorch.,125.0,31,True,2023-06-02 22:04:02.000,1.11,38.0,gpytorch,conda-forge/gpytorch,,,['pytorch'],1728.0,1661.0,https://pypi.org/project/gpytorch,192504.0,195770.0,https://anaconda.org/conda-forge/gpytorch,2023-08-11 22:34:06.614,137188.0,,,,,2.0,,2023-06-02 22:13:00.914,67.0,,,,,,,,,,,,,,,,,,, +257,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,,425.0,92.0,122.0,71.0,348.0,3168.0,Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods..,47.0,31,False,2021-02-03 16:40:09.000,2.1.1,32.0,nmslib,conda-forge/nmslib,,,,1035.0,978.0,https://pypi.org/project/nmslib,238478.0,241218.0,https://anaconda.org/conda-forge/nmslib,2023-09-26 10:22:21.295,101387.0,,,,,2.0,,2021-02-03 00:02:08.000,57.0,,,,,,,,,,,,,,,,,,, +258,ImageHash,JohannesBuchner/imagehash,image,,https://github.com/JohannesBuchner/imagehash,https://github.com/JohannesBuchner/imagehash,BSD-2-Clause,2013-03-02 23:32:48.000,2023-10-24 18:29:08.000000,2023-10-24 18:29:08,333.0,5.0,322.0,66.0,75.0,9.0,119.0,2885.0,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,,,,11506.0,11126.0,https://pypi.org/project/ImageHash,1447585.0,1451712.0,https://anaconda.org/conda-forge/imagehash,2023-06-16 13:23:10.041,346711.0,,,,,2.0,,2022-09-28 08:48:24.658,380.0,,,,,,,,,,,,,,,,,,, +259,STUMPY,TDAmeritrade/stumpy,time-series-data,,https://github.com/TDAmeritrade/stumpy,https://github.com/TDAmeritrade/stumpy,BSD-3-Clause,2019-05-03 19:23:44.000,2023-11-06 06:50:55.000000,2023-10-17 15:12:42,1272.0,6.0,269.0,54.0,213.0,51.0,404.0,2824.0,STUMPY is a powerful and scalable Python library for modern time series analysis.,35.0,31,True,2023-08-21 11:33:22.000,1.12.0,28.0,stumpy,conda-forge/stumpy,,,,581.0,566.0,https://pypi.org/project/stumpy,241238.0,264427.0,https://anaconda.org/conda-forge/stumpy,2023-08-21 11:50:40.587,950763.0,,,,,2.0,,2023-08-21 11:33:22.000,15.0,,,,,,,,,,,,,,,,,,, +260,FairScale,facebookresearch/fairscale,distributed-ml,,https://github.com/facebookresearch/fairscale,https://github.com/facebookresearch/fairscale,BSD-3-Clause,2020-07-07 19:02:01.000,2023-11-09 05:53:43.000000,2023-04-20 03:41:53,699.0,,241.0,41.0,794.0,69.0,282.0,2633.0,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'],3475.0,3417.0,https://pypi.org/project/fairscale,442718.0,449579.0,https://anaconda.org/conda-forge/fairscale,2023-06-16 19:27:50.549,164682.0,,,,,2.0,,2022-12-11 18:09:31.906,58.0,,,,,,,,,,,,,,,,,,, +261,TextAttack,QData/TextAttack,adversarial,,https://github.com/QData/TextAttack,https://github.com/QData/TextAttack,MIT,2019-10-15 00:51:44.000,2023-11-11 12:54:41.000000,2023-11-11 12:54:41,2661.0,43.0,340.0,37.0,503.0,43.0,212.0,2552.0,"TextAttack is a Python framework for adversarial attacks, data augmentation, and model training in NLP..",61.0,31,True,2023-09-11 23:15:50.000,0.3.9,46.0,textattack,conda-forge/textattack,,,,215.0,210.0,https://pypi.org/project/textattack,3939.0,4119.0,https://anaconda.org/conda-forge/textattack,2023-06-16 19:22:50.186,6863.0,,,,,2.0,,2023-09-11 23:15:50.000,5.0,,,,,,,,,,,,,,,,,,, +262,pgmpy,pgmpy/pgmpy,probabilistics,,https://github.com/pgmpy/pgmpy,https://github.com/pgmpy/pgmpy,MIT,2013-09-20 08:18:58.000,2023-11-03 18:31:10.000000,2023-11-03 18:30:51,2922.0,35.0,683.0,79.0,846.0,256.0,619.0,2513.0,"Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in..",120.0,31,True,2023-10-16 21:49:45.000,0.1.24,23.0,pgmpy,,,,,798.0,767.0,https://pypi.org/project/pgmpy,57542.0,57549.0,,,,,,,,2.0,298.0,2023-10-16 20:46:07.000,31.0,,,,,,,,,,,,,,,,,,, +263,doctr,mindee/doctr,image,,https://github.com/mindee/doctr,https://github.com/mindee/doctr,Apache-2.0,2021-01-08 16:05:12.000,2023-11-16 14:13:13.000000,2023-11-15 08:54:12,777.0,40.0,284.0,35.0,849.0,40.0,241.0,2318.0,"docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by..",41.0,31,True,2023-09-09 13:24:13.000,0.7.0,13.0,python-doctr,,,,"['tensorflow', 'pytorch']",211.0,208.0,https://pypi.org/project/python-doctr,14287.0,75584.0,,,,,,,,2.0,2022833.0,2023-09-09 13:24:13.000,3.0,,,,,,,,,,,,,,,,,,, +264,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 11:45:47.000000,2023-10-09 11:43:56,191.0,4.0,250.0,57.0,69.0,47.0,219.0,1868.0,A Python wrapper for the tesseract-ocr API.,29.0,31,True,2023-10-09 13:37:06.000,2.6.2,16.0,tesserocr,conda-forge/tesserocr,,,,903.0,903.0,https://pypi.org/project/tesserocr,58371.0,60968.0,https://anaconda.org/conda-forge/tesserocr,2023-06-16 16:18:15.161,127297.0,,,,,2.0,62.0,,,,,,,,,,,,,,,,,,,,, +265,ViZDoom,mwydmuch/ViZDoom,reinforcement-learning,,https://github.com/Farama-Foundation/ViZDoom,https://github.com/Farama-Foundation/ViZDoom,MIT,2015-06-26 18:38:23.000,2023-11-05 17:35:13.000000,2023-11-05 02:37:05,1765.0,68.0,364.0,53.0,113.0,40.0,417.0,1598.0,Reinforcement Learning environments based on the 1993 game Doom.,53.0,31,True,2023-09-27 21:19:28.000,1.2.2,28.0,vizdoom,,,,,226.0,210.0,https://pypi.org/project/vizdoom,1474.0,1601.0,,,,,,,,1.0,11764.0,2023-09-27 21:19:28.000,16.0,,,,,,,,Farama-Foundation/ViZDoom,,,,,,,,,,, +266,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 20:34:28.000,2023-11-16 11:38:13.000000,2023-11-10 08:30:12,816.0,5.0,320.0,121.0,767.0,205.0,164.0,1441.0,"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'],3331.0,3301.0,https://pypi.org/project/tensorflow-model-optimization,468944.0,468944.0,,,,,,,,2.0,,2023-05-26 02:35:42.850,30.0,,,,,,,,,,,,,,,,,,, +267,emcee,dfm/emcee,probabilistics,,https://github.com/dfm/emcee,https://github.com/dfm/emcee,MIT,2011-11-07 16:17:08.000,2023-11-13 20:21:20.000000,2023-11-02 20:43:40,927.0,10.0,427.0,87.0,208.0,49.0,235.0,1377.0,The Python ensemble sampling toolkit for affine-invariant MCMC.,72.0,31,True,2023-02-02 20:53:47.943,3.1.0,24.0,emcee,conda-forge/emcee,,,,2482.0,2125.0,https://pypi.org/project/emcee,92202.0,95709.0,https://anaconda.org/conda-forge/emcee,2023-06-16 13:16:26.628,315638.0,,,,,2.0,,2022-05-10 15:29:37.000,357.0,,,,,,,,,,,,,,,,,,, +268,arch,bashtage/arch,financial-data,,https://github.com/bashtage/arch,https://github.com/bashtage/arch,,2014-08-29 15:41:28.000,2023-11-04 04:13:26.000000,2023-10-16 10:24:24,1106.0,27.0,268.0,43.0,497.0,31.0,178.0,1182.0,ARCH models in Python.,35.0,31,False,2023-09-26 15:06:52.000,6.2.0,45.0,arch,conda-forge/arch-py,,,,1327.0,1258.0,https://pypi.org/project/arch,276994.0,283581.0,https://anaconda.org/conda-forge/arch-py,2023-10-06 06:11:20.798,270101.0,,,,,2.0,,2023-09-26 15:06:52.000,69.0,,,,,,,,,,,,,,,,,,, +269,TensorFlow Transform,tensorflow/transform,tensorflow-utils,,https://github.com/tensorflow/transform,https://github.com/tensorflow/transform,Apache-2.0,2017-02-10 00:36:53.000,2023-10-24 13:55:57.000000,2023-10-24 13:55:55,917.0,5.0,214.0,59.0,98.0,45.0,173.0,971.0,Input pipeline framework.,27.0,31,True,2023-08-11 23:14:04.000,1.14.0,56.0,tensorflow-transform,,,,['tensorflow'],1589.0,1533.0,https://pypi.org/project/tensorflow-transform,756418.0,756418.0,,,,,,,,2.0,,2023-08-11 23:14:04.000,56.0,,,,,,,,,,,,,,,,,,, +270,Satpy,pytroll/satpy,geospatial-data,,https://github.com/pytroll/satpy,https://github.com/pytroll/satpy,GPL-3.0,2016-02-09 20:29:43.000,2023-11-16 14:10:28.000000,2023-11-16 14:10:28,12524.0,297.0,270.0,34.0,1686.0,437.0,592.0,968.0,Python package for earth-observing satellite data processing.,145.0,31,False,2023-10-17 11:11:12.000,0.44.0,90.0,satpy,conda-forge/satpy,,,,129.0,112.0,https://pypi.org/project/satpy,5237.0,9505.0,https://anaconda.org/conda-forge/satpy,2023-10-17 14:26:15.835,174994.0,,,,,3.0,,2023-10-17 11:11:12.000,17.0,,,,,,,,,,,,,,,,,,, +271,tensorflow-upstream,ROCmSoftwarePlatform/tensorflow-upstream,ml-frameworks,,https://github.com/ROCmSoftwarePlatform/tensorflow-upstream,https://github.com/ROCmSoftwarePlatform/tensorflow-upstream,Apache-2.0,2018-04-09 21:24:50.000,2023-11-16 13:18:33.000000,2023-11-13 16:08:32,159901.0,2996.0,83.0,51.0,1945.0,106.0,279.0,666.0,TensorFlow ROCm port.,4509.0,31,True,2022-12-06 16:42:53.965,2.9.4,97.0,tensorflow-rocm,,,,['tensorflow'],5.0,,https://pypi.org/project/tensorflow-rocm,4158.0,4158.0,,,,,,,,3.0,21.0,2023-10-04 19:01:50.000,5.0,,,,,,,,,,,,,,,,,,, +272,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 11:25:57.000,2023-11-16 12:12:30.000000,2023-11-13 13:31:49,1817.0,220.0,49.0,15.0,1345.0,37.0,197.0,419.0,The MLOps stack component for experiment tracking.,52.0,31,True,2023-11-13 14:33:11.000,1.8.3,193.0,neptune-client,conda-forge/neptune-client,,,,49.0,,https://pypi.org/project/neptune-client,538921.0,544203.0,https://anaconda.org/conda-forge/neptune-client,2023-11-13 15:45:01.993,221863.0,,,,,2.0,,2023-11-13 14:33:11.000,49.0,,,,,,,,,,,,,,,,,,, +273,vit-pytorch,lucidrains/vit-pytorch,image,,https://github.com/lucidrains/vit-pytorch,https://github.com/lucidrains/vit-pytorch,MIT,2020-10-03 22:47:24.000,2023-11-15 00:56:24.000000,2023-11-15 00:55:36,301.0,15.0,2553.0,136.0,43.0,112.0,129.0,15876.0,"Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single..",20.0,30,True,2023-11-15 00:56:24.000,1.6.4,184.0,vit-pytorch,,,,['pytorch'],353.0,347.0,https://pypi.org/project/vit-pytorch,22496.0,22496.0,,,,,,,,2.0,,2023-11-15 00:56:24.000,6.0,,,,,,,,,,,,,,,,,,, +274,Qlib,microsoft/qlib,financial-data,,https://github.com/microsoft/qlib,https://github.com/microsoft/qlib,MIT,2020-08-14 06:46:00.000,2023-11-16 10:11:29.000000,2023-11-16 10:11:29,1956.0,7.0,2167.0,270.0,882.0,226.0,650.0,12832.0,"Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and..",122.0,30,True,2023-07-18 11:35:09.110,0.9.3,32.0,pyqlib,,,,['pytorch'],22.0,21.0,https://pypi.org/project/pyqlib,1731.0,1741.0,,,,,,,,2.0,392.0,2022-06-15 06:55:10.000,1.0,,,,,,,,,,,,,,,,,,, +275,pandas-ai,gventuri/pandas-ai,others,,https://github.com/gventuri/pandas-ai,https://github.com/gventuri/pandas-ai,MIT,2023-04-22 12:58:01.000,2023-11-15 23:20:59.000000,2023-11-15 10:40:48,612.0,227.0,743.0,82.0,284.0,131.0,248.0,9070.0,"PandasAI is the Python library that integrates Gen AI into pandas, making data analysis conversational.",53.0,30,True,2023-11-15 10:41:16.000,1.4.10,90.0,pandas-ai,,,,,2369.0,2369.0,https://pypi.org/project/pandas-ai,,,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +276,FinRL,AI4Finance-Foundation/FinRL,reinforcement-learning,,https://github.com/AI4Finance-Foundation/FinRL,https://github.com/AI4Finance-Foundation/FinRL,MIT,2020-07-26 13:18:16.000,2023-11-15 01:33:33.000000,2023-11-15 01:33:29,2864.0,31.0,2011.0,190.0,395.0,174.0,471.0,8333.0,FinRL: Financial Reinforcement Learning.,107.0,30,True,2023-02-07 13:58:00.815,0.3.6,8.0,finrl,,,,,26.0,26.0,https://pypi.org/project/finrl,1204.0,1204.0,,,,,,,,2.0,,2022-01-08 13:58:14.000,,,,,,,,,,,,,,,,,,,, +277,PyTorch3D,facebookresearch/pytorch3d,image,,https://github.com/facebookresearch/pytorch3d,https://github.com/facebookresearch/pytorch3d,,2019-10-25 02:23:45.000,2023-11-14 19:16:11.000000,2023-11-14 19:07:28,1115.0,15.0,1173.0,145.0,154.0,230.0,1191.0,7826.0,PyTorch3D is FAIRs library of reusable components for deep learning with 3D data.,127.0,30,False,2023-10-31 20:06:30.000,0.7.5,17.0,pytorch3d,pytorch3d/pytorch3d,,,['pytorch'],629.0,629.0,https://pypi.org/project/pytorch3d,3571.0,7028.0,https://anaconda.org/pytorch3d/pytorch3d,2023-10-31 20:03:11.190,165945.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +278,Apex,NVIDIA/apex,gpu-utilities,,https://github.com/NVIDIA/apex,https://github.com/NVIDIA/apex,BSD-3-Clause,2018-04-23 16:28:52.000,2023-11-16 09:58:00.000000,2023-11-16 09:58:00,1152.0,26.0,1251.0,104.0,612.0,673.0,515.0,7684.0,A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch.,123.0,30,True,,,2.0,,conda-forge/nvidia-apex,,,['pytorch'],2087.0,2087.0,,,3606.0,https://anaconda.org/conda-forge/nvidia-apex,2023-06-16 16:18:35.589,176699.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +279,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,,1283.0,174.0,46.0,69.0,236.0,6590.0,2D and 3D Face alignment library build using pytorch.,26.0,30,True,2023-08-17 14:37:33.000,1.4.1,13.0,face-alignment,,,,['pytorch'],21.0,21.0,https://pypi.org/project/face-alignment,66740.0,66740.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +280,DoWhy,py-why/dowhy,interpretability,,https://github.com/py-why/dowhy,https://github.com/py-why/dowhy,MIT,2018-05-31 13:07:04.000,2023-11-16 13:36:33.000000,2023-11-15 21:13:05,926.0,18.0,863.0,137.0,612.0,129.0,294.0,6322.0,DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions...,82.0,30,True,2023-09-05 05:01:49.000,0.10.1,13.0,dowhy,conda-forge/dowhy,,,,312.0,305.0,https://pypi.org/project/dowhy,38345.0,38770.0,https://anaconda.org/conda-forge/dowhy,2023-06-16 19:19:18.359,17890.0,,,,,2.0,33.0,2023-09-05 05:01:49.000,7.0,,,,,,,,,,,,,,,,,,, +281,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 11:21:28,918.0,1.0,634.0,148.0,789.0,141.0,356.0,4667.0,Deep Learning Visualization Toolkit.,33.0,30,True,2023-06-05 07:21:00.910,2.5.3,43.0,visualdl,,,,['paddle'],2478.0,2438.0,https://pypi.org/project/visualdl,181928.0,181936.0,,,,,,,,2.0,335.0,2023-06-05 07:21:00.910,40.0,,,,,,,,,,,,,,,,,,, +282,SynapseML,microsoft/SynapseML,distributed-ml,,https://github.com/microsoft/SynapseML,https://github.com/microsoft/SynapseML,MIT,2017-06-05 08:23:44.000,2023-11-16 08:14:26.000000,2023-11-16 07:28:23,1544.0,57.0,802.0,145.0,1442.0,326.0,397.0,4613.0,Simple and Distributed Machine Learning.,114.0,30,True,2023-11-02 01:54:37.000,1.0.1,40.0,synapseml,,,,,3.0,,https://pypi.org/project/synapseml,337522.0,337522.0,,,,,,,,2.0,,2023-11-02 01:54:37.000,3.0,,,,,,,,,,,,,,,,,,, +283,causalml,uber/causalml,others,,https://github.com/uber/causalml,https://github.com/uber/causalml,Apache-2.0,2019-07-09 02:08:58.000,2023-11-16 14:06:19.000000,2023-11-11 14:59:18,571.0,34.0,696.0,82.0,309.0,87.0,306.0,4374.0,Uplift modeling and causal inference with machine learning algorithms.,58.0,30,True,2023-08-28 06:52:12.000,0.14.1,22.0,causalml,,,,,169.0,168.0,https://pypi.org/project/causalml,91464.0,91464.0,,,,,,,,2.0,,2023-08-28 06:52:12.000,1.0,,,,,,,,,,,,,,,,,,, +284,aim,aimhubio/aim,ml-experiments,,https://github.com/aimhubio/aim,https://github.com/aimhubio/aim,Apache-2.0,2019-05-31 18:25:07.000,2023-11-15 20:08:19.000000,2023-10-18 11:57:02,2141.0,1.0,253.0,45.0,2092.0,304.0,644.0,4346.0,Aim An easy-to-use & supercharged open-source experiment tracker.,58.0,30,True,2023-10-04 15:24:14.000,4.0.3,808.0,aim,conda-forge/aim,,,,372.0,357.0,https://pypi.org/project/aim,101751.0,103184.0,https://anaconda.org/conda-forge/aim,2023-06-16 19:26:46.894,40139.0,,,,,2.0,,2023-11-15 20:08:19.000,15.0,,,,,,,,,,,,,,,,,,, +285,pandas-ta,twopirllc/pandas-ta,probabilistics,,https://github.com/twopirllc/pandas-ta,https://github.com/twopirllc/pandas-ta,MIT,2019-02-19 16:41:09.000,2023-11-14 23:30:29.000000,2022-09-24 16:20:26,585.0,,833.0,90.0,204.0,102.0,418.0,4157.0,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'],3446.0,3414.0,https://pypi.org/project/pandas-ta,76418.0,77190.0,https://anaconda.org/conda-forge/pandas-ta,2023-06-16 19:27:34.124,19310.0,,,,,2.0,,2021-07-28 20:51:17.000,32.0,,,,,,,,,,,,,,,,,,, +286,sacred,IDSIA/sacred,ml-experiments,,https://github.com/IDSIA/sacred,https://github.com/IDSIA/sacred,MIT,2014-03-31 18:05:29.000,2023-11-13 07:24:08.000000,2023-11-13 07:19:19,1344.0,2.0,375.0,71.0,366.0,97.0,460.0,4114.0,"Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.",105.0,30,True,2023-11-13 07:24:08.000,0.8.5,29.0,sacred,conda-forge/sacred,,,,2781.0,2672.0,https://pypi.org/project/sacred,22107.0,22284.0,https://anaconda.org/conda-forge/sacred,2023-06-16 19:27:54.498,4258.0,,,,,2.0,,2023-11-13 07:24:08.000,109.0,,,,,,,,,,,,,,,,,,, +287,Dedupe,dedupeio/dedupe,nlp,,https://github.com/dedupeio/dedupe,https://github.com/dedupeio/dedupe,MIT,2012-04-20 14:57:36.000,2023-11-08 21:47:53.000000,2023-02-17 16:34:52,3273.0,,522.0,122.0,362.0,75.0,728.0,3857.0,"A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.",70.0,30,True,2023-02-17 16:58:05.493,2.0.23,174.0,dedupe,conda-forge/dedupe,,,,353.0,304.0,https://pypi.org/project/dedupe,74866.0,76651.0,https://anaconda.org/conda-forge/dedupe,2023-06-16 19:28:08.623,41069.0,,,,,2.0,,2023-02-17 16:58:05.493,49.0,,,,,,,,,,,,,,,,,,, +288,cuML,rapidsai/cuml,gpu-utilities,,https://github.com/rapidsai/cuml,https://github.com/rapidsai/cuml,Apache-2.0,2018-10-11 15:45:35.000,2023-11-16 09:18:25.000000,2023-11-14 19:58:00,15302.0,55.0,478.0,70.0,3333.0,796.0,1537.0,3655.0,cuML - RAPIDS Machine Learning Library.,166.0,30,True,2023-10-11 18:02:50.000,23.10.00,35.0,cuml,,,,,5.0,,https://pypi.org/project/cuml,2246.0,2246.0,,,,,,,,2.0,,2020-06-01 20:09:10.000,5.0,,,,,,,,,,,,,,,,,,, +289,pytorch-forecasting,jdb78/pytorch-forecasting,time-series-data,,https://github.com/jdb78/pytorch-forecasting,https://github.com/jdb78/pytorch-forecasting,MIT,2020-07-03 13:05:24.000,2023-11-15 19:31:16.000000,2023-11-15 19:31:08,1708.0,117.0,526.0,41.0,744.0,429.0,280.0,3310.0,Time series forecasting with PyTorch.,43.0,30,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,59939.0,61314.0,https://anaconda.org/conda-forge/pytorch-forecasting,2023-06-16 19:21:40.268,52287.0,,,,,2.0,,2020-07-26 21:35:43.000,10.0,,,,,,,,,,,,,,,,,,, +290,TextDistance,life4/textdistance,nlp,,https://github.com/life4/textdistance,https://github.com/life4/textdistance,MIT,2017-05-05 08:46:10.000,2023-09-28 08:31:00.000000,2023-09-28 08:30:38,400.0,24.0,247.0,63.0,51.0,9.0,,3214.0,"Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external..",14.0,30,True,2023-09-28 08:32:07.000,4.6.0,26.0,textdistance,conda-forge/textdistance,,,,5245.0,5182.0,https://pypi.org/project/textdistance,402129.0,409648.0,https://anaconda.org/conda-forge/textdistance,2023-06-16 16:13:38.456,495364.0,,,,,2.0,969.0,2023-09-28 08:30:50.000,63.0,,,,,,,,,,,,,,,,,,, +291,pomegranate,jmschrei/pomegranate,probabilistics,,https://github.com/jmschrei/pomegranate,https://github.com/jmschrei/pomegranate,MIT,2014-11-24 18:36:58.000,2023-11-13 00:15:46.000000,2023-11-13 00:15:46,980.0,8.0,570.0,101.0,332.0,29.0,710.0,3195.0,"Fast, flexible and easy to use probabilistic modelling in Python.",72.0,30,True,2023-09-17 19:03:32.000,0.14.9,73.0,pomegranate,conda-forge/pomegranate,,,,1064.0,1006.0,https://pypi.org/project/pomegranate,22081.0,25391.0,https://anaconda.org/conda-forge/pomegranate,2023-09-07 11:32:40.942,139051.0,,,,,2.0,,2023-09-17 19:03:32.000,58.0,,,,,,,,,,,,,,,,,,, +292,dtreeviz,parrt/dtreeviz,interpretability,,https://github.com/parrt/dtreeviz,https://github.com/parrt/dtreeviz,MIT,2018-08-13 21:45:15.000,2023-09-23 22:00:36.000000,2023-07-13 17:20:36,617.0,,323.0,49.0,119.0,57.0,134.0,2689.0,A python library for decision tree visualization and model interpretation.,25.0,30,True,2023-07-13 17:23:01.507,2.2.2,41.0,dtreeviz,conda-forge/dtreeviz,,,,974.0,950.0,https://pypi.org/project/dtreeviz,180095.0,181834.0,https://anaconda.org/conda-forge/dtreeviz,2023-07-13 20:18:43.899,62625.0,,,,,2.0,,2022-07-07 17:18:00.886,24.0,,,,,,,,,,,,,,,,,,, +293,lightly,lightly-ai/lightly,image,,https://github.com/lightly-ai/lightly,https://github.com/lightly-ai/lightly,MIT,2020-10-13 13:02:56.000,2023-11-15 09:32:18.000000,2023-11-15 09:32:17,1115.0,34.0,224.0,26.0,951.0,91.0,385.0,2586.0,A python library for self-supervised learning on images.,33.0,30,True,2023-10-04 07:51:48.000,1.4.21,108.0,lightly,,,,['pytorch'],186.0,181.0,https://pypi.org/project/lightly,37951.0,37951.0,,,,,,,,2.0,,2023-10-04 07:52:44.000,5.0,,,,,,,,,,,,,,,,,,, +294,Determined,determined-ai/determined,ml-frameworks,,https://github.com/determined-ai/determined,https://github.com/determined-ai/determined,Apache-2.0,2020-04-07 16:12:29.000,2023-11-16 14:06:30.000000,2023-11-16 10:55:59,6941.0,654.0,319.0,75.0,8071.0,126.0,309.0,2549.0,"Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning,..",108.0,30,True,2023-11-03 20:15:32.000,0.26.3,456.0,determined,,,https://docs.determined.ai,"['pytorch', 'tensorflow']",4.0,,https://pypi.org/project/determined,19046.0,19223.0,,,,,,,,3.0,7653.0,2023-11-15 01:39:57.000,4.0,,,,,,,,,,,,,,,,,,, +295,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,,503.0,99.0,1045.0,237.0,297.0,2541.0,"Toolkit that enables easy text preprocessing, datasets loading and neural models building to help you speed up your..",86.0,30,True,2020-08-13 19:16:27.000,0.10.0,15.0,gluonnlp,,,,['mxnet'],1410.0,1410.0,https://pypi.org/project/gluonnlp,88860.0,88860.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +296,explainerdashboard,oegedijk/explainerdashboard,interpretability,,https://github.com/oegedijk/explainerdashboard,https://github.com/oegedijk/explainerdashboard,MIT,2019-10-30 08:26:16.000,2023-11-03 12:13:52.000000,2023-08-01 12:07:51,1342.0,,293.0,23.0,43.0,28.0,194.0,2106.0,Quickly build Explainable AI dashboards that show the inner workings of so-called blackbox machine learning models.,20.0,30,True,2023-08-01 11:53:07.000,0.4.3,88.0,explainerdashboard,conda-forge/explainerdashboard,,,,407.0,398.0,https://pypi.org/project/explainerdashboard,64159.0,65339.0,https://anaconda.org/conda-forge/explainerdashboard,2023-06-16 19:23:52.178,41322.0,,,,,2.0,,2023-08-01 11:53:07.000,9.0,,,,,,,,,,,,,,,,,,, +297,adapter-transformers,Adapter-Hub/adapter-transformers,others,,https://github.com/adapter-hub/adapter-transformers,https://github.com/adapter-hub/adapter-transformers,Apache-2.0,2020-04-21 16:21:43.000,2023-11-16 08:54:39.000000,2023-09-09 10:28:34,12583.0,2.0,287.0,24.0,262.0,65.0,287.0,1981.0,Huggingface Transformers + Adapters =.,1714.0,30,True,2023-04-06 21:17:41.000,adapters3.2.1,18.0,adapter-transformers,,,,['huggingface'],255.0,248.0,https://pypi.org/project/adapter-transformers,31283.0,31283.0,,,,,,,,2.0,,2022-05-18 08:45:47.000,7.0,,,,,,,,,,,,,,,,,,, +298,pygraphistry,graphistry/pygraphistry,graph,,https://github.com/graphistry/pygraphistry,https://github.com/graphistry/pygraphistry,BSD-3-Clause,2015-06-02 20:28:42.000,2023-11-14 19:32:21.000000,2023-11-02 15:04:55,1357.0,55.0,198.0,50.0,226.0,149.0,149.0,1934.0,"PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated..",39.0,30,True,2023-11-02 15:06:22.000,0.29.7,162.0,graphistry,,,,['jupyter'],110.0,105.0,https://pypi.org/project/graphistry,2665.0,2665.0,,,,,,,,2.0,,2023-11-02 15:06:22.000,5.0,,,,,,,,,,,,,,,,,,, +299,GPflow,GPflow/GPflow,probabilistics,,https://github.com/GPflow/GPflow,https://github.com/GPflow/GPflow,Apache-2.0,2016-01-14 11:29:24.000,2023-11-06 11:07:12.000000,2023-08-09 07:05:49,2440.0,,435.0,74.0,1252.0,143.0,679.0,1774.0,Gaussian processes in TensorFlow.,83.0,30,True,2023-08-09 09:23:26.000,2.9.0,48.0,gpflow,conda-forge/gpflow,,,['tensorflow'],617.0,581.0,https://pypi.org/project/gpflow,43411.0,43780.0,https://anaconda.org/conda-forge/gpflow,2023-06-16 16:08:37.785,24371.0,,,,,2.0,,2023-08-09 09:23:26.000,36.0,,,,,,,,,,,,,,,,,,, +300,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 14:28:43,1157.0,26.0,206.0,36.0,1081.0,25.0,496.0,1714.0,Your PyTorch AI Factory - Flash enables you to easily configure and run complex AI recipes for over 15 tasks across 7..,87.0,30,True,2023-06-30 13:37:19.283,0.8.2,40.0,lightning-flash,conda-forge/lightning-flash,,,['pytorch'],253.0,250.0,https://pypi.org/project/lightning-flash,2305.0,2910.0,https://anaconda.org/conda-forge/lightning-flash,2023-07-04 02:12:18.993,16352.0,,,,,1.0,,2022-05-11 18:17:54.000,3.0,,,,,,,,Lightning-Universe/lightning-flash,,,,,,,,,,, +301,PyCUDA,inducer/pycuda,gpu-utilities,,https://github.com/inducer/pycuda,https://github.com/inducer/pycuda,MIT,2011-04-06 02:53:31.000,2023-11-11 20:39:50.545000,2023-11-10 19:30:40,1586.0,3.0,278.0,54.0,135.0,78.0,182.0,1648.0,"CUDA integration for Python, plus shiny features.",80.0,30,True,2023-11-10 19:34:27.000,2023.1,52.0,pycuda,conda-forge/pycuda,,,,2704.0,2484.0,https://pypi.org/project/pycuda,36053.0,44265.0,https://anaconda.org/conda-forge/pycuda,2023-11-11 20:39:50.545,262804.0,,,,,2.0,,2023-11-10 19:36:56.000,220.0,,,,,,,,,,,,,,,,,,, +302,audiomentations,iver56/audiomentations,audio,,https://github.com/iver56/audiomentations,https://github.com/iver56/audiomentations,MIT,2019-02-12 16:36:24.000,2023-11-13 08:48:58.000000,2023-11-13 08:48:47,1100.0,32.0,172.0,22.0,142.0,46.0,123.0,1560.0,A Python library for audio data augmentation. Inspired by albumentations. Useful for machine learning.,24.0,30,True,2023-08-30 11:28:23.000,0.33.0,36.0,audiomentations,,,,,373.0,368.0,https://pypi.org/project/audiomentations,12467.0,12467.0,,,,,,,,2.0,,2023-08-30 11:28:23.000,5.0,,,,,,,,,,,,,,,,,,, +303,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 21:52:11,1051.0,23.0,204.0,52.0,201.0,26.0,272.0,1515.0,A full spaCy pipeline and models for scientific/biomedical documents.,32.0,30,True,2023-09-30 19:50:08.000,0.5.3,10.0,scispacy,,,,,785.0,785.0,https://pypi.org/project/scispacy,41729.0,41729.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +304,avalanche,ContinualAI/avalanche,others,,https://github.com/ContinualAI/avalanche,https://github.com/ContinualAI/avalanche,MIT,2020-03-05 11:32:13.000,2023-11-16 14:26:03.000000,2023-10-27 14:48:20,3716.0,82.0,248.0,30.0,544.0,84.0,668.0,1510.0,Avalanche: an End-to-End Library for Continual Learning based on PyTorch.,73.0,30,True,2023-07-28 14:24:47.000,0.4.0,7.0,avalanche-lib,,,,,56.0,55.0,https://pypi.org/project/avalanche-lib,1332.0,1332.0,,,,,,,,2.0,4.0,2023-07-28 14:24:47.000,1.0,,,,,,,,,,,,,,,,,,, +305,equinox,patrick-kidger/equinox,jax-utils,,https://github.com/patrick-kidger/equinox,https://github.com/patrick-kidger/equinox,Apache-2.0,2021-07-29 02:21:39.000,2023-11-15 23:27:55.000000,2023-11-15 16:28:29,827.0,117.0,99.0,22.0,327.0,77.0,196.0,1494.0,Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/.,42.0,30,True,2023-11-13 18:28:25.000,0.11.2,46.0,equinox,,,,['jax'],342.0,301.0,https://pypi.org/project/equinox,29178.0,29178.0,,,,,,,,1.0,,2023-11-13 18:28:25.000,41.0,,,,,,,,,,,,,,,,,,, +306,tensorly,tensorly/tensorly,others,,https://github.com/tensorly/tensorly,https://github.com/tensorly/tensorly,BSD-2-Clause,2016-10-21 23:14:52.000,2023-11-14 02:18:09.000000,2023-11-09 19:35:44,1833.0,34.0,269.0,45.0,268.0,58.0,191.0,1457.0,TensorLy: Tensor Learning in Python.,66.0,30,True,2023-03-08 01:09:02.237,0.8.1,20.0,tensorly,conda-forge/tensorly,,,,560.0,511.0,https://pypi.org/project/tensorly,15520.0,21017.0,https://anaconda.org/conda-forge/tensorly,2023-06-16 16:08:38.154,362863.0,,,,,2.0,,2023-01-14 21:19:00.648,49.0,,,,,,,,,,,,,,,,,,, +307,pingouin,raphaelvallat/pingouin,probabilistics,,https://github.com/raphaelvallat/pingouin,https://github.com/raphaelvallat/pingouin,GPL-3.0,2018-04-01 01:10:22.000,2023-11-13 20:31:37.000000,2023-11-13 20:31:36,1240.0,18.0,131.0,31.0,101.0,35.0,244.0,1430.0,Statistical package in Python based on Pandas.,43.0,30,False,2023-01-02 16:01:44.953,0.5.3,39.0,pingouin,conda-forge/pingouin,,,,1609.0,1555.0,https://pypi.org/project/pingouin,82509.0,84366.0,https://anaconda.org/conda-forge/pingouin,2023-06-16 16:12:34.261,109601.0,,,,,2.0,,2023-01-02 16:01:44.953,54.0,,,,,,,,,,,,,,,,,,, +308,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 23:11:11,163.0,4.0,174.0,33.0,72.0,19.0,51.0,1381.0,Differentiable SDE solvers with GPU support and efficient sensitivity analysis.,8.0,30,True,2023-09-26 22:07:23.000,0.2.6,5.0,torchsde,conda-forge/torchsde,,,['pytorch'],1802.0,1792.0,https://pypi.org/project/torchsde,998596.0,999150.0,https://anaconda.org/conda-forge/torchsde,2023-06-16 19:24:16.458,18857.0,,,,,1.0,,2023-09-26 21:52:19.000,10.0,,,,,,,,,,,,,,,,,,, +309,spacy-transformers,explosion/spacy-transformers,nlp,,https://github.com/explosion/spacy-transformers,https://github.com/explosion/spacy-transformers,MIT,2019-07-26 19:12:34.000,2023-11-09 12:24:29.392000,2023-11-08 09:18:59,1469.0,9.0,160.0,33.0,242.0,1.0,,1294.0,"Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy.",22.0,30,True,2023-11-08 10:45:18.000,1.3.3,75.0,spacy-transformers,conda-forge/spacy-transformers,,,['spacy'],1393.0,1351.0,https://pypi.org/project/spacy-transformers,248680.0,249705.0,https://anaconda.org/conda-forge/spacy-transformers,2023-11-09 12:24:29.392,24601.0,,,,,2.0,,2023-11-08 10:39:17.000,42.0,,,,,,,,,,,,,,,,,,, +310,lets-plot,JetBrains/lets-plot,data-viz,,https://github.com/JetBrains/lets-plot,https://github.com/JetBrains/lets-plot,MIT,2019-03-20 16:13:03.000,2023-11-16 14:35:03.000000,2023-11-16 02:15:21,3615.0,171.0,48.0,161.0,473.0,110.0,340.0,1261.0,Multiplatform plotting library based on Grammar of Graphics.,20.0,30,True,2023-11-03 12:21:13.000,4.1.0,66.0,lets-plot,,,,,51.0,49.0,https://pypi.org/project/lets-plot,29613.0,29624.0,,,,,,,,3.0,547.0,2023-11-03 11:53:45.000,2.0,,,,,,,,,,,,,,,,,,, +311,pyjanitor,pyjanitor-devs/pyjanitor,others,,https://github.com/pyjanitor-devs/pyjanitor,https://github.com/pyjanitor-devs/pyjanitor,MIT,2018-03-04 22:43:33.000,2023-11-13 18:36:16.000000,2023-11-09 08:34:56,1513.0,17.0,162.0,18.0,760.0,106.0,432.0,1208.0,Clean APIs for data cleaning. Python implementation of R package Janitor.,107.0,30,True,2023-09-18 03:57:15.000,0.26.0,59.0,pyjanitor,conda-forge/pyjanitor,,,,506.0,488.0,https://pypi.org/project/pyjanitor,34288.0,37008.0,https://anaconda.org/conda-forge/pyjanitor,2023-06-16 16:12:04.304,184976.0,,,,,2.0,,2023-09-18 03:57:09.000,18.0,,,,,,,,,,,,,,,,,,, +312,ktrain,amaiya/ktrain,ml-frameworks,,https://github.com/amaiya/ktrain,https://github.com/amaiya/ktrain,Apache-2.0,2019-02-06 17:01:39.000,2023-10-04 22:35:58.000000,2023-09-05 18:32:42,3006.0,17.0,257.0,35.0,37.0,5.0,473.0,1189.0,ktrain is a Python library that makes deep learning and AI more accessible and easier to apply.,16.0,30,True,2023-09-05 19:18:15.000,0.38.0,100.0,ktrain,,,,['tensorflow'],475.0,475.0,https://pypi.org/project/ktrain,19532.0,19532.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +313,Geomstats,geomstats/geomstats,ml-frameworks,,https://github.com/geomstats/geomstats,https://github.com/geomstats/geomstats,MIT,2017-10-25 00:44:57.000,2023-11-14 11:50:24.000000,2023-11-14 11:50:24,10263.0,79.0,218.0,34.0,1397.0,206.0,335.0,1018.0,Computations and statistics on manifolds with geometric structures.,85.0,30,True,2023-08-30 05:36:10.000,2.7.0,32.0,geomstats,conda-forge/geomstats,,https://geomstats.github.io/,,87.0,84.0,https://pypi.org/project/geomstats,2649.0,2763.0,https://anaconda.org/conda-forge/geomstats,2023-08-30 16:59:06.279,1954.0,,,,,3.0,,2023-08-30 05:33:32.000,3.0,,,,,,,,,,,,,,,,,,, +314,patsy,pydata/patsy,probabilistics,,https://github.com/pydata/patsy,https://github.com/pydata/patsy,BSD-2-Clause,2012-07-10 12:30:06.000,2023-06-16 13:22:54.711000,2022-10-09 20:27:52,544.0,,105.0,32.0,54.0,72.0,75.0,905.0,Describing statistical models in Python using symbolic formulas.,17.0,30,False,2022-10-09 20:34:35.000,0.5.3,10.0,patsy,conda-forge/patsy,,,,85630.0,82894.0,https://pypi.org/project/patsy,9769178.0,9876567.0,https://anaconda.org/conda-forge/patsy,2023-06-16 13:22:54.711,9342873.0,,,,,2.0,,2022-10-09 20:29:01.698,2736.0,,,,,,,,,,,,,,,,,,, +315,geojson,jazzband/geojson,geospatial-data,,https://github.com/jazzband/geojson,https://github.com/jazzband/geojson,BSD-3-Clause,2011-07-01 20:39:48.000,2023-11-06 11:21:40.354000,2023-11-06 00:17:47,493.0,8.0,121.0,31.0,126.0,26.0,74.0,845.0,Python bindings and utilities for GeoJSON.,56.0,30,True,2023-11-05 21:06:50.000,3.1.0,31.0,geojson,conda-forge/geojson,,,,17050.0,15791.0,https://pypi.org/project/geojson,1397391.0,1482622.0,https://anaconda.org/conda-forge/geojson,2023-11-06 11:21:40.354,767086.0,,,,,3.0,,2023-11-05 21:06:50.000,1259.0,,,,,,,,,,,,,,,,,,, +316,SALib,SALib/SALib,probabilistics,,https://github.com/SALib/SALib,https://github.com/SALib/SALib,MIT,2013-05-30 13:38:10.000,2023-11-14 05:08:49.000000,2023-11-14 05:08:49,1913.0,27.0,220.0,19.0,286.0,47.0,269.0,754.0,"Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.",44.0,30,True,2023-01-08 01:14:38.679,1.4.7,46.0,salib,conda-forge/salib,,,,1027.0,944.0,https://pypi.org/project/salib,111403.0,113062.0,https://anaconda.org/conda-forge/salib,2023-06-16 13:22:11.263,139435.0,,,,,2.0,,2022-06-22 01:55:54.000,83.0,,,,,,,,,,,,,,,,,,, +317,TensorFlow I/O,tensorflow/io,tensorflow-utils,,https://github.com/tensorflow/io,https://github.com/tensorflow/io,Apache-2.0,2018-11-09 22:44:05.000,2023-11-14 19:37:54.000000,2023-10-07 23:47:13,1647.0,32.0,277.0,44.0,1267.0,259.0,361.0,668.0,"Dataset, streaming, and file system extensions maintained by TensorFlow SIG-IO.",107.0,30,True,2023-09-08 15:59:39.000,0.34.0,41.0,tensorflow-io,,,,['tensorflow'],33.0,,https://pypi.org/project/tensorflow-io,2839962.0,2839962.0,,,,,,,,3.0,,2023-09-08 14:58:40.000,33.0,,,,,,,,,,,,,,,,,,, +318,datalad,datalad/datalad,others,,https://github.com/datalad/datalad,https://github.com/datalad/datalad,MIT,2013-11-01 19:40:08.000,2023-11-09 07:32:20.000000,2023-11-06 13:22:50,17051.0,41.0,108.0,26.0,3551.0,509.0,3376.0,463.0,"Keep code, data, containers under control with git and git-annex.",55.0,30,True,2023-08-10 15:56:42.000,0.19.3,108.0,datalad,conda-forge/datalad,,,,64.0,,https://pypi.org/project/datalad,17525.0,27402.0,https://anaconda.org/conda-forge/datalad,2023-08-10 20:20:25.522,404965.0,,,,,2.0,,2023-08-10 15:56:42.000,64.0,,,,,,,,,,,,,,,,,,, +319,audioread,beetbox/audioread,audio,,https://github.com/beetbox/audioread,https://github.com/beetbox/audioread,MIT,2011-11-08 19:53:18.000,2023-09-30 21:07:31.348000,2023-08-17 17:52:43,277.0,,107.0,24.0,50.0,35.0,54.0,453.0,cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio decoding for Python.,25.0,30,True,2023-09-27 19:27:51.000,3.0.1,27.0,audioread,conda-forge/audioread,,,,16661.0,16301.0,https://pypi.org/project/audioread,1695050.0,1714663.0,https://anaconda.org/conda-forge/audioread,2023-09-30 21:07:31.348,725684.0,,,,,2.0,,2023-09-27 19:27:51.000,360.0,,,,,,,,,,,,,,,,,,, +320,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 14:46:16,569.0,5.0,38.0,14.0,69.0,7.0,25.0,205.0,Fast matrix-multiplication as a self-contained Python library no system dependencies!.,12.0,30,False,2023-09-22 06:31:01.000,0.7.11,46.0,blis,conda-forge/cython-blis,,,,35575.0,35328.0,https://pypi.org/project/blis,5263707.0,5316739.0,https://anaconda.org/conda-forge/cython-blis,2023-10-01 08:59:57.840,2015243.0,,,,,2.0,,2023-09-22 06:27:17.000,247.0,,,,,,,,,,,,,,,,,,, +321,baselines,openai/baselines,reinforcement-learning,,https://github.com/openai/baselines,https://github.com/openai/baselines,MIT,2017-05-24 01:58:13.000,2023-08-31 08:45:10.000000,2020-01-31 13:06:18,347.0,,4769.0,653.0,371.0,495.0,435.0,14932.0,OpenAI Baselines: high-quality implementations of reinforcement learning algorithms.,115.0,29,False,2018-02-26 17:07:07.000,0.1.5,6.0,baselines,,,,,572.0,533.0,https://pypi.org/project/baselines,1152.0,1152.0,,,,,,,,2.0,,2018-02-26 17:07:07.000,39.0,,,,,,,,,,,,,,,,,,, +322,backtrader,mementum/backtrader,financial-data,,https://github.com/mementum/backtrader,https://github.com/mementum/backtrader,GPL-3.0,2015-01-10 07:14:52.000,2023-10-09 02:57:53.000000,2023-04-19 14:13:08,2404.0,,3342.0,594.0,217.0,42.0,,11892.0,Python Backtesting library for trading strategies.,56.0,29,False,,,157.0,backtrader,,,,,1830.0,1770.0,https://pypi.org/project/backtrader,13580.0,13580.0,,,,,,,,2.0,,2020-07-03 13:02:14.000,60.0,,,,,,,,,,,,,,,,,,, +323,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,,1840.0,218.0,46.0,96.0,94.0,8856.0,"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,117062.0,117782.0,https://anaconda.org/conda-forge/pretrainedmodels,2023-06-16 19:20:12.183,29546.0,,,,,2.0,,2018-10-29 08:18:45.000,94.0,,,,,,,,,,,,,,,,,,, +324,AutoGluon,autogluon/autogluon,hyperopt,,https://github.com/autogluon/autogluon,https://github.com/autogluon/autogluon,Apache-2.0,2019-07-29 18:51:24.000,2023-11-16 14:16:43.000000,2023-11-16 13:29:12,2004.0,128.0,800.0,96.0,2239.0,281.0,854.0,6430.0,"AutoGluon: AutoML for Image, Text, Time Series, and Tabular Data.",114.0,29,True,2023-06-30 22:19:00.811,0.8.2,1335.0,autogluon,,autogluon/autogluon,https://auto.gluon.ai,"['pytorch', 'sklearn']",9.0,2.0,https://pypi.org/project/autogluon,47586.0,47672.0,,,,https://hub.docker.com/r/autogluon/autogluon,2023-07-26 19:13:58.158186,15.0,4479.0,2.0,,2023-11-16 09:05:10.000,7.0,,,,,,,,,,,,,,,,,,, +325,CleverHans,cleverhans-lab/cleverhans,adversarial,,https://github.com/cleverhans-lab/cleverhans,https://github.com/cleverhans-lab/cleverhans,MIT,2016-09-15 00:28:04.000,2023-06-16 19:20:32.486000,2023-01-31 19:40:04,3203.0,,1390.0,190.0,783.0,38.0,423.0,5961.0,"An adversarial example library for constructing attacks, building defenses, and benchmarking both.",131.0,29,True,2021-07-24 08:53:21.000,4.0.0,8.0,cleverhans,conda-forge/cleverhans,,,['tensorflow'],552.0,540.0,https://pypi.org/project/cleverhans,1204.0,1381.0,https://anaconda.org/conda-forge/cleverhans,2023-06-16 19:20:32.486,7288.0,,,,,2.0,,2021-07-24 08:53:21.000,12.0,,,,,,,,,,,,,,,,,,, +326,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 09:33:23,779.0,4.0,1156.0,212.0,91.0,194.0,120.0,5487.0,"Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications.",28.0,29,True,2022-02-07 22:36:53.000,0.3.14,23.0,pyAudioAnalysis,,,,,419.0,400.0,https://pypi.org/project/pyAudioAnalysis,11577.0,11577.0,,,,,,,,2.0,,2022-02-07 22:36:53.000,19.0,,,,,,,,,,,,,,,,,,, +327,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,,1360.0,208.0,158.0,42.0,227.0,5451.0,Deep Reinforcement Learning for Keras.,41.0,29,False,2018-06-01 07:52:24.000,0.4.2,8.0,keras-rl,,,,['tensorflow'],777.0,723.0,https://pypi.org/project/keras-rl,2308.0,2308.0,,,,,,,,2.0,,2018-06-01 07:52:24.000,54.0,,,,,,,,,,,,,,,,,,, +328,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 19:24:51,248.0,2.0,851.0,123.0,38.0,62.0,143.0,4927.0,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'],2533.0,2497.0,https://pypi.org/project/torchdiffeq,794003.0,794331.0,https://anaconda.org/conda-forge/torchdiffeq,2023-06-16 19:19:05.182,13794.0,,,,,2.0,,2022-04-22 15:21:47.000,36.0,,,,,,,,,,,,,,,,,,, +329,lightfm,lyst/lightfm,recommender-systems,,https://github.com/lyst/lightfm,https://github.com/lyst/lightfm,Apache-2.0,2015-07-30 08:34:00.000,2023-08-27 19:16:02.000000,2023-04-30 18:36:20,483.0,,666.0,89.0,206.0,138.0,356.0,4469.0,"A Python implementation of LightFM, a hybrid recommendation algorithm.",47.0,29,True,2023-03-20 04:08:46.000,1.17,15.0,lightfm,conda-forge/lightfm,,,,1313.0,1266.0,https://pypi.org/project/lightfm,717901.0,720298.0,https://anaconda.org/conda-forge/lightfm,2023-06-16 16:08:40.466,167806.0,,,,,2.0,,2020-11-27 19:55:08.000,47.0,,,,,,,,,,,,,,,,,,, +330,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,,441.0,42.0,124.0,63.0,154.0,4172.0,Data augmentation for NLP.,33.0,29,False,2022-07-07 05:24:14.000,1.1.11,37.0,nlpaug,conda-forge/nlpaug,,,,966.0,940.0,https://pypi.org/project/nlpaug,174287.0,174806.0,https://anaconda.org/conda-forge/nlpaug,2023-06-16 19:26:38.185,15071.0,,,,,2.0,,2022-07-07 05:23:07.000,26.0,,,,,,,,,,,,,,,,,,, +331,bqplot,bqplot/bqplot,data-viz,,https://github.com/bqplot/bqplot,https://github.com/bqplot/bqplot,Apache-2.0,2015-09-26 04:02:18.000,2023-11-06 09:55:37.480000,2023-10-04 07:40:23,3656.0,2.0,476.0,102.0,1043.0,250.0,368.0,3489.0,Plotting library for IPython/Jupyter notebooks.,64.0,29,True,2023-10-17 15:07:51.000,0.12.42,110.0,bqplot,conda-forge/bqplot,,,['jupyter'],172.0,51.0,https://pypi.org/project/bqplot,140473.0,174183.0,https://anaconda.org/conda-forge/bqplot,2023-11-06 09:55:37.480,1240753.0,,,,,3.0,,2023-10-17 15:07:51.000,105.0,,bqplot,https://www.npmjs.com/package/bqplot,4169.0,,2023-10-17 10:48:26.195,16.0,,,,,,,,,,,, +332,torchtext,pytorch/text,nlp,,https://github.com/pytorch/text,https://github.com/pytorch/text,BSD-3-Clause,2016-12-12 00:56:03.000,2023-11-16 11:34:28.000000,2023-10-16 20:54:26,1292.0,4.0,778.0,274.0,1436.0,259.0,512.0,3395.0,"Models, data loaders and abstractions for language processing, powered by PyTorch.",149.0,29,True,2023-11-15 23:09:44.000,0.16.1,26.0,torchtext,,,,['pytorch'],,,https://pypi.org/project/torchtext,398897.0,398897.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +333,sahi,obss/sahi,image,,https://github.com/obss/sahi,https://github.com/obss/sahi,MIT,2021-01-30 12:54:53.000,2023-11-08 11:41:22.000000,2023-11-06 09:12:19,482.0,13.0,467.0,35.0,497.0,6.0,,3190.0,Framework agnostic sliced/tiled inference + interactive ui + error analysis plots.,36.0,29,True,2023-11-05 23:19:54.000,0.11.15,101.0,sahi,conda-forge/sahi,,,,744.0,732.0,https://pypi.org/project/sahi,113696.0,116343.0,https://anaconda.org/conda-forge/sahi,2023-11-06 10:35:24.165,51233.0,,,,,3.0,19741.0,2023-11-05 23:19:54.000,12.0,,,,,,,,,,,,,,,,,,, +334,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,,399.0,47.0,1084.0,6.0,353.0,3186.0,Accelerated deep learning R&D.,104.0,29,False,2022-04-29 04:45:11.000,22.04,108.0,catalyst,,,,['pytorch'],1064.0,1026.0,https://pypi.org/project/catalyst,87621.0,87621.0,,,,,,,,3.0,,2022-04-29 04:46:04.000,38.0,,,,,,,,,,,,,,,,,,, +335,Deep Checks,deepchecks/deepchecks,interpretability,,https://github.com/deepchecks/deepchecks,https://github.com/deepchecks/deepchecks,AGPL-3.0,2021-10-11 14:48:38.000,2023-11-11 07:23:07.000000,2023-11-07 13:45:15,1468.0,15.0,225.0,16.0,1681.0,263.0,721.0,3097.0,Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all..,50.0,29,False,2023-10-11 15:32:25.000,0.17.5,58.0,deepchecks,,,,,299.0,293.0,https://pypi.org/project/deepchecks,36101.0,36131.0,,,,,,,,2.0,765.0,2023-10-11 15:32:13.000,6.0,,,,,,,,,,,,,,,,,,, +336,vidgear,abhiTronix/vidgear,image,,https://github.com/abhiTronix/vidgear,https://github.com/abhiTronix/vidgear,Apache-2.0,2019-03-17 02:42:42.000,2023-09-28 14:19:11.000000,2023-09-10 15:15:16,1059.0,23.0,226.0,61.0,109.0,4.0,266.0,3011.0,A High-performance cross-platform Video Processing Python framework powerpacked with unique trailblazing features.,14.0,29,True,2023-09-10 19:39:46.000,0.3.2,22.0,vidgear,,,,,483.0,474.0,https://pypi.org/project/vidgear,11482.0,11498.0,,,,,,,,3.0,941.0,2023-09-10 19:39:46.000,9.0,,,,,,,,,,,,,,,,,,, +337,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,,672.0,111.0,73.0,99.0,123.0,2912.0,Productivity Tools for Plotly + Pandas.,39.0,29,False,2020-03-01 17:42:01.000,0.17.3,28.0,cufflinks,,,,['pandas'],9612.0,9442.0,https://pypi.org/project/cufflinks,77025.0,77025.0,,,,,,,,3.0,,2020-03-01 17:42:01.000,170.0,,,,,,,,,,,,,,,,,,, +338,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 03:16:39.000,2023-09-18 10:49:10.000000,2023-06-20 03:14:12,435.0,,277.0,34.0,474.0,31.0,30.0,2875.0,torch-optimizer -- collection of optimizers for Pytorch.,26.0,29,True,2021-10-31 03:00:19.000,0.3.0,21.0,torch_optimizer,conda-forge/torch-optimizer,,,['pytorch'],1072.0,1030.0,https://pypi.org/project/torch_optimizer,109751.0,110049.0,https://anaconda.org/conda-forge/torch-optimizer,2023-06-16 19:25:40.043,9256.0,,,,,2.0,,2021-10-31 03:00:19.000,42.0,,,,,,,,,,,,,,,,,,, +339,hmmlearn,hmmlearn/hmmlearn,probabilistics,,https://github.com/hmmlearn/hmmlearn,https://github.com/hmmlearn/hmmlearn,BSD-3-Clause,2014-03-23 10:33:09.000,2023-11-01 02:59:58.000000,2023-08-31 20:43:50,463.0,2.0,729.0,120.0,114.0,57.0,365.0,2854.0,"Hidden Markov Models in Python, with scikit-learn like API.",45.0,29,True,2023-04-18 18:59:00.534,0.3.0,12.0,hmmlearn,conda-forge/hmmlearn,,,['sklearn'],2250.0,2109.0,https://pypi.org/project/hmmlearn,163438.0,168716.0,https://anaconda.org/conda-forge/hmmlearn,2023-10-07 20:19:04.855,200574.0,,,,,3.0,,2022-02-10 14:13:50.000,141.0,,,,,,,,,,,,,,,,,,, +340,mljar-supervised,mljar/mljar-supervised,hyperopt,,https://github.com/mljar/mljar-supervised,https://github.com/mljar/mljar-supervised,MIT,2018-11-05 12:58:04.000,2023-10-13 10:43:44.000000,2023-10-13 10:43:44,1131.0,33.0,366.0,44.0,62.0,129.0,457.0,2820.0,"Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and..",23.0,29,True,2023-09-26 17:27:09.000,1.1.1,84.0,mljar-supervised,conda-forge/mljar-supervised,,,,95.0,93.0,https://pypi.org/project/mljar-supervised,5802.0,6209.0,https://anaconda.org/conda-forge/mljar-supervised,2023-09-27 04:54:23.157,11815.0,,,,,2.0,,2023-09-26 17:23:51.000,2.0,,,,,,,,,,,,,,,,,,, +341,Sweetviz,fbdesignpro/sweetviz,data-viz,,https://github.com/fbdesignpro/sweetviz,https://github.com/fbdesignpro/sweetviz,MIT,2020-05-09 15:25:47.000,2023-11-16 14:04:33.000000,2023-11-16 13:34:48,134.0,21.0,262.0,50.0,19.0,34.0,96.0,2673.0,"Visualize and compare datasets, target values and associations, with one line of code.",11.0,29,True,2023-11-16 14:04:33.000,2.3.0,34.0,sweetviz,conda-forge/sweetviz,,,,1819.0,1805.0,https://pypi.org/project/sweetviz,68330.0,69121.0,https://anaconda.org/conda-forge/sweetviz,2023-08-28 12:37:11.059,26131.0,,,,,3.0,,2023-11-16 13:58:01.000,14.0,,,,,,,,,,,,,,,,,,, +342,ipyparallel,ipython/ipyparallel,distributed-ml,,https://github.com/ipython/ipyparallel,https://github.com/ipython/ipyparallel,,2015-04-09 07:43:55.000,2023-11-08 11:24:35.000000,2023-11-07 09:04:03,2855.0,25.0,962.0,120.0,492.0,54.0,291.0,2500.0,IPython Parallel: Interactive Parallel Computing in Python.,112.0,29,False,2023-04-14 13:35:06.415,8.6.1,45.0,ipyparallel,conda-forge/ipyparallel,,,['jupyter'],300.0,,https://pypi.org/project/ipyparallel,212859.0,223125.0,https://anaconda.org/conda-forge/ipyparallel,2023-06-16 13:17:51.662,934268.0,,,,,2.0,,2023-04-14 13:35:06.415,300.0,,,,,,,,,,,,,,,,,,, +343,shapash,MAIF/shapash,interpretability,,https://github.com/MAIF/shapash,https://github.com/MAIF/shapash,Apache-2.0,2020-04-29 07:34:23.000,2023-11-16 10:44:15.000000,2023-11-16 10:44:15,1507.0,66.0,296.0,40.0,311.0,33.0,144.0,2497.0,Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models.,35.0,29,True,2023-09-20 13:10:11.000,2.3.7,35.0,shapash,,,,['jupyter'],131.0,129.0,https://pypi.org/project/shapash,5849.0,5849.0,,,,,,,,2.0,,2023-09-20 13:10:11.000,2.0,,,,,,,,,,,,,,,,,,, +344,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 12:09:24.000,2023-10-17 16:57:10.000000,2023-10-17 16:57:08,762.0,15.0,581.0,177.0,72.0,10.0,537.0,2437.0,Python sync/async framework for Interactive Brokers API.,36.0,29,True,2023-07-02 12:44:10.283,0.9.86,111.0,ib_insync,conda-forge/ib-insync,,,,23.0,,https://pypi.org/project/ib_insync,27347.0,28065.0,https://anaconda.org/conda-forge/ib-insync,2023-06-16 16:16:07.159,37341.0,,,,,2.0,,2022-11-21 09:32:01.715,23.0,,,,,,,,,,,,,,,,,,, +345,mpld3,mpld3/mpld3,data-viz,,https://github.com/mpld3/mpld3,https://github.com/mpld3/mpld3,BSD-3-Clause,2013-12-18 01:48:30.000,2023-07-06 22:54:55.000000,2022-12-10 14:00:49,877.0,,356.0,84.0,166.0,219.0,146.0,2284.0,D3 Renderings of Matplotlib Graphics.,51.0,29,True,2022-12-10 14:03:04.289,0.5.9,18.0,mpld3,conda-forge/mpld3,,,,5627.0,5211.0,https://pypi.org/project/mpld3,335265.0,337728.0,https://anaconda.org/conda-forge/mpld3,2023-06-16 13:17:04.944,190011.0,,,,,3.0,,2022-12-10 14:03:04.289,408.0,,mpld3,https://www.npmjs.com/package/mpld3,375.0,,2022-12-10 14:00:31.699,8.0,,,,,,,,,,,, +346,Alibi,SeldonIO/alibi,interpretability,,https://github.com/SeldonIO/alibi,https://github.com/SeldonIO/alibi,Apache-2.0,2019-02-26 10:10:56.000,2023-11-15 00:46:35.000000,2023-11-13 15:09:34,648.0,18.0,232.0,47.0,628.0,132.0,224.0,2203.0,Algorithms for explaining machine learning models.,19.0,29,True,2023-07-07 14:10:27.000,0.9.4,31.0,alibi,,,,,555.0,530.0,https://pypi.org/project/alibi,19074.0,19074.0,,,,,,,,2.0,,2023-07-07 14:10:05.734,25.0,,,,,,,,,,,,,,,,,,, +347,alibi-detect,SeldonIO/alibi-detect,others,,https://github.com/SeldonIO/alibi-detect,https://github.com/SeldonIO/alibi-detect,Apache-2.0,2019-10-07 13:29:13.000,2023-11-15 07:17:07.000000,2023-11-13 15:09:30,712.0,13.0,201.0,36.0,517.0,134.0,233.0,1976.0,"Algorithms for outlier, adversarial and drift detection.",20.0,29,True,2023-07-07 12:16:02.615,0.11.4,36.0,alibi-detect,,,,,389.0,383.0,https://pypi.org/project/alibi-detect,22994.0,22994.0,,,,,,,,2.0,,2022-06-01 16:23:29.000,6.0,,,,,,,,,,,,,,,,,,, +348,NeuralForecast,Nixtla/neuralforecast,time-series-data,,https://github.com/Nixtla/neuralforecast,https://github.com/Nixtla/neuralforecast,Apache-2.0,2021-04-26 00:15:19.000,2023-11-15 00:41:10.000000,2023-11-14 21:47:21,1071.0,39.0,205.0,31.0,393.0,90.0,285.0,1943.0,Scalable and user friendly neural forecasting algorithms.,31.0,29,True,2023-10-05 19:40:30.000,1.6.4,20.0,neuralforecast,conda-forge/neuralforecast,,,,67.0,64.0,https://pypi.org/project/neuralforecast,13991.0,14576.0,https://anaconda.org/conda-forge/neuralforecast,2023-10-06 19:47:12.240,11716.0,,,,,2.0,,2023-10-05 19:40:30.000,3.0,,,,,,,,,,,,,,,,,,, +349,bt,pmorissette/bt,financial-data,,https://github.com/pmorissette/bt,https://github.com/pmorissette/bt,MIT,2014-06-19 16:06:28.000,2023-10-15 23:16:55.733000,2023-09-04 14:53:24,500.0,4.0,393.0,85.0,96.0,80.0,251.0,1824.0,bt - flexible backtesting for Python.,28.0,29,True,2021-04-21 02:52:26.000,0.2.9,25.0,bt,conda-forge/bt,,,,1599.0,1571.0,https://pypi.org/project/bt,8323.0,8932.0,https://anaconda.org/conda-forge/bt,2023-10-15 23:16:55.733,18904.0,,,,,2.0,,2021-04-21 02:52:26.000,28.0,,,,,,,,,,,,,,,,,,, +350,ogb,snap-stanford/ogb,graph,,https://github.com/snap-stanford/ogb,https://github.com/snap-stanford/ogb,MIT,2019-11-22 22:13:57.000,2023-10-23 23:19:39.000000,2023-06-10 14:30:23,670.0,,400.0,41.0,58.0,19.0,267.0,1778.0,"Benchmark datasets, data loaders, and evaluators for graph machine learning.",32.0,29,True,2023-04-07 06:00:55.135,1.3.6,19.0,ogb,conda-forge/ogb,,,,1223.0,1201.0,https://pypi.org/project/ogb,31739.0,32506.0,https://anaconda.org/conda-forge/ogb,2023-06-16 19:21:31.692,29164.0,,,,,2.0,,2022-11-02 22:00:56.960,22.0,,,,,,,,,,,,,,,,,,, +351,pyLDAvis,bmabey/pyLDAvis,interpretability,,https://github.com/bmabey/pyLDAvis,https://github.com/bmabey/pyLDAvis,BSD-3-Clause,2015-04-09 22:48:03.000,2023-07-31 14:46:11.000000,2023-04-24 15:04:32,275.0,,355.0,53.0,77.0,83.0,99.0,1746.0,Python library for interactive topic model visualization. Port of the R LDAvis package.,39.0,29,True,2023-04-23 23:55:02.142,3.4.1,26.0,pyldavis,conda-forge/pyldavis,,,['jupyter'],5637.0,5478.0,https://pypi.org/project/pyldavis,231738.0,232909.0,https://anaconda.org/conda-forge/pyldavis,2023-06-16 16:08:55.034,76126.0,,,,,2.0,,2021-03-24 12:57:08.000,159.0,,,,,,,,,,,,,,,,,,, +352,fairlearn,fairlearn/fairlearn,interpretability,,https://github.com/fairlearn/fairlearn,https://github.com/fairlearn/fairlearn,MIT,2018-05-15 01:51:35.000,2023-11-16 14:46:08.000000,2023-11-16 12:44:16,829.0,30.0,358.0,36.0,843.0,175.0,286.0,1682.0,A Python package to assess and improve fairness of machine learning models.,77.0,29,True,2023-07-28 09:05:39.000,0.9.0,19.0,fairlearn,conda-forge/fairlearn,,,['sklearn'],26.0,2.0,https://pypi.org/project/fairlearn,193708.0,194541.0,https://anaconda.org/conda-forge/fairlearn,2023-07-28 12:27:51.245,29997.0,,,,,2.0,,2023-07-27 16:36:24.000,24.0,,,,,,,,,,,,,,,,,,, +353,TF Recommenders,tensorflow/recommenders,recommender-systems,,https://github.com/tensorflow/recommenders,https://github.com/tensorflow/recommenders,Apache-2.0,2020-06-26 21:38:01.000,2023-10-24 20:06:11.000000,2023-10-24 20:06:05,363.0,4.0,245.0,48.0,310.0,232.0,183.0,1672.0,TensorFlow Recommenders is a library for building recommender system models using TensorFlow.,42.0,29,True,2023-02-03 02:17:00.422,0.7.3,16.0,tensorflow-recommenders,,,,['tensorflow'],260.0,259.0,https://pypi.org/project/tensorflow-recommenders,366244.0,366244.0,,,,,,,,2.0,,2023-02-03 02:17:00.422,1.0,,,,,,,,,,,,,,,,,,, +354,Elephas,maxpumperla/elephas,distributed-ml,,https://github.com/maxpumperla/elephas,https://github.com/maxpumperla/elephas,MIT,2015-08-13 12:09:19.000,2023-11-09 11:42:34.000000,2022-08-31 01:52:51,509.0,,308.0,103.0,49.0,7.0,151.0,1569.0,Distributed Deep learning with Keras & Spark.,27.0,29,False,2023-11-09 11:42:34.000,5.0.0,39.0,elephas,conda-forge/elephas,,,"['keras', 'spark']",76.0,73.0,https://pypi.org/project/elephas,65203.0,65461.0,https://anaconda.org/conda-forge/elephas,2023-06-16 16:16:35.554,13193.0,,,,,2.0,,2023-11-09 11:42:34.000,3.0,,,,,,,,,,,,,,,,,,, +355,Model Analysis,tensorflow/model-analysis,interpretability,,https://github.com/tensorflow/model-analysis,https://github.com/tensorflow/model-analysis,Apache-2.0,2018-03-23 19:08:49.000,2023-11-16 06:04:46.000000,2023-11-16 06:04:45,1378.0,23.0,266.0,74.0,103.0,34.0,53.0,1215.0,Model analysis tools for TensorFlow.,56.0,29,True,2023-08-14 20:20:00.000,0.45.0,56.0,tensorflow-model-analysis,,,,"['tensorflow', 'jupyter']",23.0,,https://pypi.org/project/tensorflow-model-analysis,93852.0,93852.0,,,,,,,,2.0,,2023-08-14 20:39:41.000,23.0,,,,,,,,,,,,,,,,,,, +356,Prince,MaxHalford/prince,others,,https://github.com/MaxHalford/prince,https://github.com/MaxHalford/prince,MIT,2016-10-22 12:36:06.000,2023-10-11 22:37:43.000000,2023-10-11 22:37:41,386.0,11.0,177.0,24.0,30.0,3.0,129.0,1119.0,"Multivariate exploratory data analysis in Python PCA, CA, MCA, MFA, FAMD, GPA.",16.0,29,True,2023-10-11 22:35:06.000,0.13.0,59.0,prince,conda-forge/prince-factor-analysis,,,['sklearn'],447.0,437.0,https://pypi.org/project/prince,67167.0,67529.0,https://anaconda.org/conda-forge/prince-factor-analysis,2023-06-16 16:19:02.748,17390.0,,,,,2.0,,2023-10-11 22:35:06.000,10.0,,,,,,,,,,,,,,,,,,, +357,pyclustering,annoviko/pyclustering,others,,https://github.com/annoviko/pyclustering,https://github.com/annoviko/pyclustering,BSD-3-Clause,2014-02-25 18:59:03.000,2023-10-19 21:12:08.031000,2021-02-12 19:04:59,2079.0,,244.0,40.0,36.0,66.0,590.0,1111.0,"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,,,,602.0,568.0,https://pypi.org/project/pyclustering,76586.0,78045.0,https://anaconda.org/conda-forge/pyclustering,2023-10-19 21:12:08.031,58189.0,,,,,2.0,477.0,2020-11-25 22:41:20.000,34.0,,,,,,,,,,,,,,,,,,, +358,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'],1572.0,,https://pypi.org/project/keras-preprocessing,5320868.0,5353828.0,https://anaconda.org/conda-forge/keras-preprocessing,2023-06-16 16:10:42.597,2142402.0,,,,,3.0,,2020-05-14 03:55:22.223,1572.0,,,,,,,,,,,,,,,,,,, +359,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 20:46:53.000,2023-11-15 22:20:08.000000,2023-11-15 21:39:57,1852.0,128.0,272.0,23.0,2131.0,78.0,224.0,1026.0,Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and..,39.0,29,True,2023-11-15 15:27:53.000,0.32.0,50.0,raiwidgets,,,,"['pytorch', 'tensorflow', 'jupyter']",75.0,72.0,https://pypi.org/project/raiwidgets,5870.0,5870.0,,,,,,,,2.0,,2023-11-15 15:10:43.000,3.0,,,,,,,,,,,,,,,,,,, +360,CellProfiler,CellProfiler/CellProfiler,image,,https://github.com/CellProfiler/CellProfiler,https://github.com/CellProfiler/CellProfiler,BSD-3-Clause,2011-04-05 12:10:12.000,2023-11-15 14:51:57.000000,2023-11-14 18:29:53,16527.0,87.0,359.0,43.0,1604.0,278.0,2949.0,815.0,An open-source application for biological image analysis.,142.0,29,True,2023-08-14 19:59:48.000,4.2.6,48.0,cellprofiler,,,,,21.0,20.0,https://pypi.org/project/cellprofiler,627.0,679.0,,,,,,,,3.0,6147.0,2023-08-14 19:14:28.000,1.0,,,,,,,,,,,,,,,,,,, +361,PyNNDescent,lmcinnes/pynndescent,nn-search,,https://github.com/lmcinnes/pynndescent,https://github.com/lmcinnes/pynndescent,BSD-2-Clause,2018-02-07 23:23:54.000,2023-11-10 15:31:52.000000,2023-11-09 17:10:27,662.0,12.0,101.0,14.0,94.0,67.0,60.0,813.0,A Python nearest neighbor descent for approximate nearest neighbors.,27.0,29,True,2023-04-20 15:29:00.655,0.5.10,29.0,pynndescent,conda-forge/pynndescent,,,,4828.0,4766.0,https://pypi.org/project/pynndescent,874048.0,906285.0,https://anaconda.org/conda-forge/pynndescent,2023-06-16 16:15:32.587,1708596.0,,,,,3.0,,2022-10-31 17:20:00.872,62.0,,,,,,,,,,,,,,,,,,, +362,CLTK,cltk/cltk,nlp,,https://github.com/cltk/cltk,https://github.com/cltk/cltk,MIT,2014-01-11 23:59:47.000,2023-11-12 15:12:25.000000,2023-11-04 10:15:39,3699.0,38.0,320.0,67.0,675.0,31.0,525.0,808.0,The Classical Language Toolkit.,120.0,29,True,2023-11-04 10:32:32.000,1.1.7,72.0,cltk,,,,,250.0,250.0,https://pypi.org/project/cltk,2062.0,2062.0,,,,,,,,2.0,46.0,,,,,,,,,,,,,,,,,,,,, +363,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 15:47:02.000,2023-11-13 20:53:20.000000,2023-11-13 20:53:19,934.0,11.0,152.0,47.0,81.0,37.0,142.0,736.0,Library for exploring and validating machine learning data.,25.0,29,True,2023-08-14 06:29:46.000,1.14.0,44.0,tensorflow-data-validation,,,,"['tensorflow', 'jupyter']",790.0,760.0,https://pypi.org/project/tensorflow-data-validation,256702.0,256710.0,,,,,,,,3.0,555.0,2023-08-14 06:58:23.000,30.0,,,,,,,,,,,,,,,,,,, +364,mpi4py,mpi4py/mpi4py,distributed-ml,,https://github.com/mpi4py/mpi4py,https://github.com/mpi4py/mpi4py,BSD-2-Clause,2013-09-05 14:44:25.000,2023-11-16 12:30:45.000000,2023-11-15 15:50:47,2983.0,113.0,104.0,15.0,240.0,11.0,122.0,708.0,Python bindings for MPI.,26.0,29,True,2023-10-04 09:04:51.000,3.1.5,27.0,mpi4py,conda-forge/mpi4py,,,,717.0,,https://pypi.org/project/mpi4py,193408.0,254355.0,https://anaconda.org/conda-forge/mpi4py,2023-10-17 08:36:29.714,2238169.0,,,,,2.0,18279.0,2023-10-04 09:04:51.000,717.0,,,,,,,,,,,,,,,,,,, +365,Dopamine,google/dopamine,reinforcement-learning,,https://github.com/google/dopamine,https://github.com/google/dopamine,Apache-2.0,2018-07-26 09:58:36.000,2023-11-06 14:53:02.000000,2023-06-29 16:28:24,325.0,,1387.0,438.0,49.0,98.0,87.0,10248.0,Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.,15.0,28,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,39198.0,39198.0,,,,,,,,2.0,,2022-09-21 20:20:42.649,36.0,,,,,,,,,,,,,,,,,,, +366,english-words,dwyl/english-words,nlp,,https://github.com/dwyl/english-words,https://github.com/dwyl/english-words,Unlicense,2014-07-13 22:20:45.000,2023-06-14 00:38:14.000000,2022-11-08 22:11:16,98.0,,1706.0,201.0,68.0,96.0,34.0,9501.0,A text file containing 479k English words for all your dictionary/word-based projects e.g: auto-completion /..,30.0,28,True,2023-05-24 15:11:00.531,2.0.1,9.0,english-words,,,,,10.0,2.0,https://pypi.org/project/english-words,534450.0,534450.0,,,,,,,,2.0,,2023-01-06 00:05:02.564,8.0,,,,,,,,,,,,,,,,,,, +367,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,,909.0,269.0,98.0,82.0,81.0,7197.0,Visualizations for machine learning datasets.,31.0,28,True,2023-05-24 15:58:01.158,1.1.1,9.0,facets-overview,,,,['jupyter'],212.0,204.0,https://pypi.org/project/facets-overview,226210.0,226210.0,,,,,,,,3.0,,2023-05-24 15:58:01.158,8.0,,,,,,,,,,,,,,,,,,, +368,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,,970.0,145.0,93.0,73.0,304.0,6030.0,A Python scikit for building and analyzing recommender systems.,45.0,28,True,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,134977.0,143582.0,https://anaconda.org/conda-forge/scikit-surprise,2023-10-06 08:13:53.418,344221.0,,,,,2.0,,2022-09-23 17:17:00.724,50.0,,,,,,,,,,,,,,,,,,, +369,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,,780.0,275.0,438.0,221.0,329.0,4805.0,"A probabilistic programming language in TensorFlow. Deep generative models, variational inference.",87.0,28,False,2018-01-22 06:03:37.000,1.3.5,28.0,edward,,,,['tensorflow'],342.0,302.0,https://pypi.org/project/edward,466.0,466.0,,,,,,,,3.0,16.0,2018-01-22 06:03:05.000,40.0,,,,,,,,,,,,,,,,,,, +370,Alpha Vantage,RomelTorres/alpha_vantage,financial-data,,https://github.com/RomelTorres/alpha_vantage,https://github.com/RomelTorres/alpha_vantage,MIT,2017-04-29 17:23:00.000,2023-11-11 01:23:34.000000,2023-11-11 01:23:34,523.0,1.0,699.0,176.0,79.0,8.0,270.0,4048.0,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,,,,460.0,431.0,https://pypi.org/project/alpha_vantage,22803.0,22974.0,https://anaconda.org/conda-forge/alpha_vantage,2023-06-16 19:24:19.804,5841.0,,,,,2.0,,2020-12-21 02:36:15.000,29.0,,,,,,,,,,,,,,,,,,, +371,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,,971.0,219.0,408.0,140.0,402.0,3848.0,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,,,,,1278.0,1018.0,https://pypi.org/project/lasagne,2276.0,2276.0,,,,,,,,3.0,,2015-08-13 21:10:53.000,260.0,,,,,,,,,,,,,,,,,,, +372,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,,455.0,72.0,37.0,9.0,121.0,3696.0,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,,,,13811.0,13671.0,https://pypi.org/project/missingno,423692.0,427807.0,https://anaconda.org/conda-forge/missingno,2023-06-16 13:24:02.087,312805.0,,,,,3.0,,2022-02-27 20:39:36.000,140.0,,,,,,,,,,,,,,,,,,, +373,ftfy,rspeer/python-ftfy,nlp,,https://github.com/rspeer/python-ftfy,https://github.com/rspeer/python-ftfy,MIT,2012-08-24 16:14:59.000,2023-08-19 15:07:22.000000,2022-10-25 17:55:33,609.0,,114.0,76.0,66.0,13.0,120.0,3622.0,"Fixes mojibake and other glitches in Unicode text, after the fact.",18.0,28,False,2021-08-23 21:02:05.000,6.0.3,11.0,ftfy,conda-forge/ftfy,,,,14780.0,14780.0,https://pypi.org/project/ftfy,2997022.0,3000512.0,https://anaconda.org/conda-forge/ftfy,2023-06-16 13:23:10.061,275774.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +374,Sumy,miso-belica/sumy,nlp,,https://github.com/miso-belica/sumy,https://github.com/miso-belica/sumy,Apache-2.0,2013-02-20 12:56:48.000,2023-11-10 07:34:12.000000,2023-11-10 07:34:11,445.0,8.0,521.0,113.0,83.0,18.0,100.0,3287.0,Module for automatic summarization of text documents and HTML pages.,30.0,28,True,2022-10-23 16:42:18.783,0.11.0,16.0,sumy,conda-forge/sumy,,,,2388.0,2278.0,https://pypi.org/project/sumy,26634.0,26877.0,https://anaconda.org/conda-forge/sumy,2023-06-16 19:26:28.563,7068.0,,,,,2.0,,2022-04-21 21:59:46.000,110.0,,,,,,,,,,,,,,,,,,, +375,Acme,deepmind/acme,reinforcement-learning,,https://github.com/google-deepmind/acme,https://github.com/google-deepmind/acme,Apache-2.0,2020-05-01 09:18:12.000,2023-10-23 13:19:15.000000,2023-10-20 08:00:02,1192.0,10.0,397.0,82.0,53.0,56.0,201.0,3234.0,A library of reinforcement learning components and agents.,84.0,28,True,2022-02-10 06:52:27.000,0.4.0,15.0,dm-acme,conda-forge/dm-acme,,,['tensorflow'],178.0,175.0,https://pypi.org/project/dm-acme,915.0,1133.0,https://anaconda.org/conda-forge/dm-acme,2023-06-16 19:23:44.096,7854.0,,,,,2.0,,2022-02-10 06:52:27.000,3.0,,,,,,,,google-deepmind/acme,,,,,,,,,,, +376,LIT,PAIR-code/lit,interpretability,,https://github.com/PAIR-code/lit,https://github.com/PAIR-code/lit,Apache-2.0,2020-07-28 13:07:26.000,2023-11-12 20:38:48.000000,2023-11-08 16:40:21,1347.0,78.0,336.0,72.0,1238.0,91.0,77.0,3233.0,The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and..,34.0,28,True,2023-11-08 16:44:23.000,1.0.2,11.0,lit-nlp,conda-forge/lit-nlp,,,,26.0,25.0,https://pypi.org/project/lit-nlp,3739.0,5465.0,https://anaconda.org/conda-forge/lit-nlp,2023-06-16 19:21:41.530,65614.0,,,,,2.0,,2023-11-08 16:44:23.000,1.0,,,,,,,,,,,,,,,,,,, +377,aubio,aubio/aubio,audio,,https://github.com/aubio/aubio,https://github.com/aubio/aubio,GPL-3.0,2009-12-04 21:07:44.000,2023-09-25 11:28:13.000000,2022-01-25 17:32:20,4123.0,,357.0,81.0,62.0,151.0,186.0,3055.0,a library for audio and music analysis.,24.0,28,False,2019-02-27 09:00:43.000,0.4.9,10.0,aubio,conda-forge/aubio,,,,435.0,408.0,https://pypi.org/project/aubio,5573.0,13485.0,https://anaconda.org/conda-forge/aubio,2023-06-16 13:24:40.255,632997.0,,,,,3.0,,2019-02-08 11:21:02.000,27.0,,,,,,,,,,,,,,,,,,, +378,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,,412.0,65.0,932.0,315.0,745.0,2805.0,StellarGraph - Machine Learning on Graphs.,36.0,28,False,2021-02-22 06:35:38.731,1.2.1,25.0,stellargraph,,,,['tensorflow'],250.0,242.0,https://pypi.org/project/stellargraph,4462.0,4462.0,,,,,,,,2.0,,2018-09-14 03:43:24.000,8.0,,,,,,,,,,,,,,,,,,, +379,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 21:01:10,548.0,8.0,468.0,97.0,43.0,82.0,240.0,2680.0,Learning to Rank in TensorFlow.,33.0,28,True,2023-08-11 17:56:48.000,0.5.3,22.0,tensorflow_ranking,,,,['tensorflow'],13.0,,https://pypi.org/project/tensorflow_ranking,89720.0,89720.0,,,,,,,,2.0,,2023-08-11 17:56:48.000,13.0,,,,,,,,,,,,,,,,,,, +380,pygal,Kozea/pygal,graph,,https://github.com/Kozea/pygal,https://github.com/Kozea/pygal,LGPL-3.0,2011-09-23 10:17:50.000,2023-11-09 13:25:38.000000,2023-05-16 07:26:21,1020.0,,409.0,127.0,131.0,189.0,246.0,2576.0,PYthon svg GrAph plotting Library.,73.0,28,False,2021-11-24 21:09:00.501,3.0.0,76.0,pygal,conda-forge/pygal,,,,636.0,,https://pypi.org/project/pygal,246719.0,247371.0,https://anaconda.org/conda-forge/pygal,2023-06-16 16:15:26.623,34559.0,,,,,2.0,,2021-11-24 21:09:00.501,636.0,,,,,,,,,,,,,,,,,,, +381,anomalib,openvinotoolkit/anomalib,others,,https://github.com/openvinotoolkit/anomalib,https://github.com/openvinotoolkit/anomalib,Apache-2.0,2021-11-02 09:11:38.000,2023-11-16 14:48:49.000000,2023-11-15 08:28:12,505.0,39.0,468.0,31.0,629.0,59.0,533.0,2560.0,"An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-..",64.0,28,True,2023-08-29 07:29:32.000,0.7.0,27.0,anomalib,,,,,35.0,34.0,https://pypi.org/project/anomalib,36534.0,36700.0,,,,,,,,3.0,3830.0,2023-08-29 07:29:59.000,1.0,,,,,,,,,,,,,,,,,,, +382,DeepKE,zjunlp/deepke,nlp,,https://github.com/zjunlp/DeepKE,https://github.com/zjunlp/DeepKE,MIT,2018-08-01 01:54:52.000,2023-11-15 07:03:00.000000,2023-11-15 07:02:43,1489.0,82.0,570.0,44.0,27.0,,334.0,2472.0,An Open Toolkit for Knowledge Graph Extraction and Construction published at EMNLP2022 System Demonstrations.,29.0,28,True,2023-09-21 04:12:03.000,2.2.7,111.0,deepke,,,,['pytorch'],19.0,19.0,https://pypi.org/project/deepke,858.0,858.0,,,,,,,,2.0,,2023-09-21 04:12:03.000,,,,,,,,,,,,,,,,,,,, +383,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,,282.0,67.0,59.0,26.0,39.0,2360.0,An intuitive library to add plotting functionality to scikit-learn objects.,13.0,28,False,2018-08-19 12:25:39.290,0.3.7,27.0,scikit-plot,conda-forge/scikit-plot,,,['sklearn'],4175.0,4102.0,https://pypi.org/project/scikit-plot,428830.0,431019.0,https://anaconda.org/conda-forge/scikit-plot,2023-06-16 13:22:21.652,166404.0,,,,,2.0,,2018-08-19 12:25:39.290,73.0,,,,,,,,,,,,,,,,,,, +384,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,,246.0,92.0,124.0,31.0,230.0,2116.0,"NLP, before and after spaCy.",35.0,28,False,2023-04-02 22:46:00.000,0.13.0,29.0,textacy,conda-forge/textacy,,,,1590.0,1590.0,https://pypi.org/project/textacy,46153.0,47903.0,https://anaconda.org/conda-forge/textacy,2023-06-16 13:22:44.862,136514.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,, +385,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,,485.0,40.0,24.0,66.0,38.0,2058.0,"MTCNN face detection implementation for TensorFlow, as a PIP package.",15.0,28,False,2021-07-09 11:16:39.000,0.1.1,11.0,mtcnn,conda-forge/mtcnn,,,['tensorflow'],4305.0,4254.0,https://pypi.org/project/mtcnn,74126.0,74364.0,https://anaconda.org/conda-forge/mtcnn,2023-06-16 19:18:00.316,10714.0,,,,,3.0,,2021-07-09 11:16:39.000,51.0,,,,,,,,,,,,,,,,,,, +386,ffn,pmorissette/ffn,financial-data,,https://github.com/pmorissette/ffn,https://github.com/pmorissette/ffn,MIT,2014-06-19 15:54:09.000,2023-09-14 02:29:45.000000,2023-09-14 02:29:42,410.0,4.0,269.0,60.0,87.0,23.0,95.0,1636.0,ffn - a financial function library for Python.,30.0,28,True,2023-05-23 20:33:00.695,0.3.7,28.0,ffn,conda-forge/ffn,,,,418.0,387.0,https://pypi.org/project/ffn,150759.0,150951.0,https://anaconda.org/conda-forge/ffn,2023-06-15 20:53:40.904,5952.0,,,,,2.0,,2021-04-21 02:47:21.000,31.0,,,,,,,,,,,,,,,,,,, +387,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,,155.0,25.0,81.0,41.0,34.0,1603.0,A Python package for time series classification.,14.0,28,True,2023-06-18 12:36:11.801,0.13.0,19.0,pyts,conda-forge/pyts,,,,510.0,491.0,https://pypi.org/project/pyts,124098.0,124965.0,https://anaconda.org/conda-forge/pyts,2023-06-18 16:28:23.633,21681.0,,,,,3.0,,2021-10-31 13:51:09.000,19.0,,,,,,,,,,,,,,,,,,, +388,torchrec,pytorch/torchrec,recommender-systems,,https://github.com/pytorch/torchrec,https://github.com/pytorch/torchrec,BSD-3-Clause,2021-07-12 23:15:48.000,2023-11-16 13:54:26.000000,2023-11-16 12:45:25,1379.0,137.0,290.0,29.0,1400.0,130.0,96.0,1571.0,Pytorch domain library for recommendation systems.,182.0,28,True,2023-10-05 17:21:59.000,0.5.0,77.0,torchrec-nightly-cpu,,,,,76.0,76.0,https://pypi.org/project/torchrec-nightly-cpu,76.0,76.0,,,,,,,,2.0,,2022-05-12 18:55:21.000,,,,,,,,,,,,,,,,,,,, +389,Paddle Graph Learning,PaddlePaddle/PGL,graph,,https://github.com/PaddlePaddle/PGL,https://github.com/PaddlePaddle/PGL,Apache-2.0,2019-06-11 03:23:28.000,2023-09-26 07:49:38.000000,2023-09-26 07:34:28,1378.0,14.0,309.0,27.0,375.0,89.0,120.0,1544.0,Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle.,31.0,28,True,2023-09-26 07:49:38.000,2.2.6,21.0,pgl,,,,['paddle'],48.0,46.0,https://pypi.org/project/pgl,1148.0,1148.0,,,,,,,,2.0,,2023-09-26 07:49:38.000,2.0,,,,,,,,,,,,,,,,,,, +390,Opacus,pytorch/opacus,privacy-ml,,https://github.com/pytorch/opacus,https://github.com/pytorch/opacus,Apache-2.0,2019-12-07 01:58:09.000,2023-11-09 21:00:39.000000,2023-11-09 20:52:16,699.0,3.0,295.0,43.0,351.0,66.0,195.0,1512.0,Training PyTorch models with differential privacy.,74.0,28,True,2023-03-24 16:01:05.890,1.4.0,20.0,opacus,conda-forge/opacus,,,['pytorch'],701.0,684.0,https://pypi.org/project/opacus,38961.0,39520.0,https://anaconda.org/conda-forge/opacus,2023-06-18 08:40:32.992,12258.0,,,,,2.0,105.0,2022-05-06 09:43:18.000,17.0,,,,,,,,,,,,,,,,,,, +391,Mesh,tensorflow/mesh,distributed-ml,,https://github.com/tensorflow/mesh,https://github.com/tensorflow/mesh,Apache-2.0,2018-09-20 20:23:34.000,2023-10-06 01:33:53.000000,2023-05-16 13:01:43,657.0,,245.0,49.0,311.0,95.0,16.0,1481.0,Mesh TensorFlow: Model Parallelism Made Easier.,50.0,28,True,2022-05-15 21:06:13.000,0.1.21,27.0,mesh-tensorflow,,,,['tensorflow'],901.0,868.0,https://pypi.org/project/mesh-tensorflow,77561.0,77561.0,,,,,,,,3.0,,2022-05-15 21:06:13.000,33.0,,,,,,,,,,,,,,,,,,, +392,TabPy,tableau/TabPy,others,,https://github.com/tableau/TabPy,https://github.com/tableau/TabPy,MIT,2016-09-27 21:26:03.000,2023-10-10 21:15:24.000000,2023-10-10 21:15:24,946.0,6.0,567.0,107.0,280.0,11.0,300.0,1463.0,Execute Python code on the fly and display results in Tableau visualizations:.,49.0,28,True,2023-06-28 20:49:21.000,2.9.0,31.0,tabpy,anaconda/tabpy-client,,,,146.0,144.0,https://pypi.org/project/tabpy,17419.0,17475.0,https://anaconda.org/anaconda/tabpy-client,2023-06-16 13:20:17.078,4454.0,,,,,3.0,,2023-01-30 23:34:02.112,2.0,,,,,,,,,,,,,,,,,,, +393,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 00:13:39,295.0,9.0,257.0,50.0,184.0,54.0,120.0,1348.0,Metric learning algorithms in Python.,22.0,28,True,2023-10-09 04:53:59.000,0.7.0,11.0,metric-learn,conda-forge/metric-learn,,,['sklearn'],324.0,311.0,https://pypi.org/project/metric-learn,10422.0,10691.0,https://anaconda.org/conda-forge/metric-learn,2023-10-09 05:53:11.819,10775.0,,,,,3.0,,2023-10-09 04:53:59.000,13.0,,,,,,,,,,,,,,,,,,, +394,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 01:24:32,851.0,7.0,260.0,72.0,481.0,38.0,198.0,1260.0,Underthesea - Vietnamese NLP Toolkit.,18.0,28,False,2023-09-22 23:57:31.000,6.8.0,125.0,underthesea,,,,,870.0,844.0,https://pypi.org/project/underthesea,10364.0,10432.0,,,,,,,,2.0,5347.0,2023-09-22 23:50:49.000,26.0,,,,,,,,,,,,,,,,,,, +395,imodels,csinva/imodels,interpretability,,https://github.com/csinva/imodels,https://github.com/csinva/imodels,MIT,2019-07-04 15:38:48.000,2023-11-16 02:42:05.000000,2023-11-16 02:42:03,1010.0,37.0,106.0,25.0,113.0,26.0,52.0,1200.0,"Interpretable ML package for concise, transparent, and accurate predictive modeling (sklearn-compatible).",22.0,28,True,2023-10-05 02:21:28.000,1.4.1,44.0,imodels,,,,,62.0,58.0,https://pypi.org/project/imodels,141918.0,141918.0,,,,,,,,2.0,,2023-10-05 02:20:48.000,4.0,,,,,,,,,,,,,,,,,,, +396,kmodes,nicodv/kmodes,others,,https://github.com/nicodv/kmodes,https://github.com/nicodv/kmodes,MIT,2013-08-01 11:54:40.000,2023-06-16 19:18:39.600000,2023-04-20 04:36:19,526.0,,404.0,51.0,37.0,17.0,139.0,1187.0,"Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data.",22.0,28,True,2022-09-06 19:52:23.000,0.12.2,17.0,kmodes,conda-forge/kmodes,,,,2351.0,2318.0,https://pypi.org/project/kmodes,169056.0,169943.0,https://anaconda.org/conda-forge/kmodes,2023-06-16 19:18:39.600,38149.0,,,,,3.0,,2022-04-14 21:22:39.000,33.0,,,,,,,,,,,,,,,,,,, +397,PySwarms,ljvmiranda921/pyswarms,others,,https://github.com/ljvmiranda921/pyswarms,https://github.com/ljvmiranda921/pyswarms,MIT,2017-07-12 12:04:45.000,2023-10-23 11:16:32.000000,2023-06-06 09:46:40,415.0,,325.0,40.0,299.0,23.0,200.0,1163.0,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,,,,,326.0,312.0,https://pypi.org/project/pyswarms,27506.0,27506.0,,,,,,,,3.0,,2021-01-03 21:34:15.000,14.0,,,,,,,,,,,,,,,,,,, +398,empyrical,quantopian/empyrical,financial-data,,https://github.com/quantopian/empyrical,https://github.com/quantopian/empyrical,Apache-2.0,2016-03-18 10:22:52.000,2023-11-15 00:51:27.000000,2020-10-14 13:22:39,167.0,,336.0,71.0,85.0,27.0,26.0,1156.0,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,,,,1386.0,1242.0,https://pypi.org/project/empyrical,24939.0,25307.0,https://anaconda.org/conda-forge/empyrical,2023-06-16 16:07:55.979,25450.0,,,,,2.0,,2020-10-13 21:29:19.000,144.0,,,,,,,,,,,,,,,,,,, +399,Submit it,facebookincubator/submitit,distributed-ml,,https://github.com/facebookincubator/submitit,https://github.com/facebookincubator/submitit,MIT,2020-04-24 07:41:09.000,2023-11-09 17:23:42.000000,2023-11-09 17:20:43,139.0,10.0,106.0,22.0,103.0,35.0,73.0,985.0,Python 3.8+ toolbox for submitting jobs to Slurm.,23.0,28,True,2023-11-09 17:23:02.000,1.5.1,23.0,submitit,conda-forge/submitit,,,,1776.0,1759.0,https://pypi.org/project/submitit,172529.0,173364.0,https://anaconda.org/conda-forge/submitit,2023-10-05 15:20:30.342,32578.0,,,,,3.0,,2023-11-09 17:23:02.000,17.0,,,,,,,,,,,,,,,,,,, +400,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,,245.0,41.0,502.0,271.0,252.0,869.0,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,,,,964.0,891.0,https://pypi.org/project/dask-ml,373615.0,384369.0,https://anaconda.org/conda-forge/dask-ml,2023-06-16 13:24:06.152,785085.0,,,,,3.0,,2020-05-06 15:02:41.000,73.0,,,,,,,,,,,,,,,,,,, +401,Cornac,PreferredAI/cornac,recommender-systems,,https://github.com/PreferredAI/cornac,https://github.com/PreferredAI/cornac,Apache-2.0,2018-07-17 06:31:35.000,2023-11-16 10:54:40.000000,2023-11-15 20:19:01,1289.0,24.0,122.0,27.0,418.0,7.0,120.0,763.0,A Comparative Framework for Multimodal Recommender Systems.,17.0,28,True,2023-10-20 02:59:14.000,1.17.0,53.0,cornac,conda-forge/cornac,,,,195.0,179.0,https://pypi.org/project/cornac,104387.0,112355.0,https://anaconda.org/conda-forge/cornac,2023-10-25 04:30:35.094,326696.0,,,,,2.0,,2023-10-20 03:18:35.000,16.0,,,,,,,,,,,,,,,,,,, +402,skforecast,JoaquinAmatRodrigo/skforecast,time-series-data,,https://github.com/JoaquinAmatRodrigo/skforecast,https://github.com/JoaquinAmatRodrigo/skforecast,BSD-3-Clause,2021-02-10 11:40:34.000,2023-11-15 19:39:54.000000,2023-11-15 19:39:54,2550.0,264.0,88.0,10.0,485.0,14.0,87.0,717.0,Time series forecasting with scikit-learn models.,9.0,28,True,2023-09-27 09:35:25.000,0.10.1,24.0,skforecast,,,,['sklearn'],204.0,198.0,https://pypi.org/project/skforecast,37884.0,37884.0,,,,,,,,3.0,,2023-09-26 12:13:41.000,6.0,,,,,,,,,,,,,,,,,,, +403,quinn,MrPowers/quinn,ml-experiments,,https://github.com/MrPowers/quinn,https://github.com/MrPowers/quinn,Apache-2.0,2017-09-15 13:02:42.000,2023-11-05 17:46:37.000000,2023-11-05 17:45:27,211.0,71.0,74.0,21.0,68.0,35.0,50.0,531.0,pyspark methods to enhance developer productivity.,23.0,28,True,2023-02-17 21:55:30.000,0.10.0,13.0,quinn,,,,['spark'],78.0,72.0,https://pypi.org/project/quinn,865283.0,865283.0,,,,,,,,3.0,9.0,2023-02-17 21:54:00.812,6.0,,,,,,,,,,,,,,,,,,, +404,GeoViews,holoviz/geoviews,geospatial-data,,https://github.com/holoviz/geoviews,https://github.com/holoviz/geoviews,BSD-3-Clause,2016-04-19 16:27:01.000,2023-11-10 16:24:57.000000,2023-11-10 16:24:55,788.0,14.0,72.0,25.0,353.0,111.0,225.0,525.0,"Simple, concise geographical visualization in Python.",29.0,28,True,2023-11-01 18:39:43.000,1.11.0,53.0,geoviews,conda-forge/geoviews,,,,837.0,802.0,https://pypi.org/project/geoviews,8204.0,13568.0,https://anaconda.org/conda-forge/geoviews,2023-11-02 09:01:15.038,203844.0,,,,,3.0,,2023-11-01 16:39:32.000,35.0,,,,,,,,,,,,,,,,,,, +405,NIPY,nipy/nipy,medical-data,,https://github.com/nipy/nipy,https://github.com/nipy/nipy,BSD-3-Clause,2010-05-02 10:00:33.000,2023-11-11 09:46:58.000000,2023-11-11 09:46:28,6674.0,227.0,135.0,36.0,390.0,45.0,123.0,354.0,Neuroimaging in Python FMRI analysis package.,68.0,28,True,2021-03-29 16:34:34.000,0.5.0,7.0,nipy,conda-forge/nipy,,,,262.0,212.0,https://pypi.org/project/nipy,2949.0,4340.0,https://anaconda.org/conda-forge/nipy,2023-06-16 13:21:17.395,105790.0,,,,,3.0,,2021-03-29 16:34:34.000,50.0,,,,,,,,,,,,,,,,,,, +406,qdrant,qdrant/qdrant,nlp,,https://github.com/qdrant/qdrant,https://github.com/qdrant/qdrant,Apache-2.0,2020-05-30 21:37:01.000,2023-11-16 12:52:16.000000,2023-11-13 13:56:55,1915.0,198.0,794.0,101.0,2085.0,153.0,642.0,14430.0,"Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud..",70.0,27,True,2023-10-11 18:42:02.000,1.6.1,57.0,,,,,,,,,,112.0,,,,,,,,3.0,3496.0,,,,,,,,,,,,,,,,,,,,, +407,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,,1113.0,178.0,213.0,19.0,533.0,8167.0,Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts).,56.0,27,False,2021-01-29 00:03:56.000,0.0.9,1.0,,,,,,21.0,21.0,,,225.0,,,,,,,,3.0,7681.0,,,,,,,,,,,,,,,,,,,,, +408,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,,1153.0,352.0,79.0,47.0,231.0,7828.0,StarCraft II Learning Environment.,39.0,27,True,2022-07-13 12:08:43.000,4.0,8.0,pysc2,,,,,654.0,628.0,https://pypi.org/project/pysc2,1541.0,1951.0,,,,,,,,3.0,30778.0,2022-07-13 12:02:04.256,26.0,,,,,,,,google-deepmind/pysc2,,,,,,,,,,, +409,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,,1500.0,131.0,51.0,155.0,141.0,7590.0,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,147427.0,226943.0,,,,,,,,2.0,3498712.0,2021-04-15 15:17:23.000,43.0,,,,,,,,,,,,,,,,,,, +410,TensorLayer,tensorlayer/tensorlayer,reinforcement-learning,,https://github.com/tensorlayer/TensorLayer,https://github.com/tensorlayer/TensorLayer,Apache-2.0,2016-06-07 15:55:16.000,2023-02-18 07:58:21.000000,2023-02-18 07:58:21,3353.0,,1642.0,461.0,698.0,32.0,441.0,7249.0,Deep Learning and Reinforcement Learning Library for Scientists and Engineers.,134.0,27,True,2022-02-15 02:05:47.000,2.2.5,83.0,tensorlayer,,,,['tensorflow'],40.0,,https://pypi.org/project/tensorlayer,1624.0,1645.0,,,,,,,,2.0,1843.0,2022-02-15 02:05:47.000,40.0,,,,,,,,,,,,,,,,,,, +411,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 21:49:25,6626.0,1.0,1558.0,625.0,2111.0,453.0,1338.0,6332.0,"Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of..",123.0,27,False,2018-06-01 15:12:12.000,1.0.5,47.0,nupic,,,,,21.0,21.0,https://pypi.org/project/nupic,1691.0,1691.0,,,,,,,,3.0,1.0,,,,,,,,,,numenta/nupic-legacy,,,,,,,,,,, +412,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,,1338.0,348.0,14.0,41.0,65.0,6212.0,Python library for processing Chinese text.,8.0,27,False,2015-09-27 16:35:23.000,0.12.3,17.0,snownlp,,,,,1273.0,1231.0,https://pypi.org/project/snownlp,12210.0,12210.0,,,,,,,,3.0,,2015-09-27 16:35:23.000,42.0,,,,,,,,,,,,,,,,,,, +413,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,,1187.0,155.0,950.0,40.0,782.0,5660.0,Gluon CV Toolkit.,119.0,27,True,2021-03-09 00:20:06.000,0.10.0,10.0,gluoncv,,,,['mxnet'],21.0,21.0,https://pypi.org/project/gluoncv,44084.0,44084.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +414,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,,867.0,123.0,63.0,136.0,74.0,4973.0,Image augmentation library in Python for machine learning.,23.0,27,True,2023-03-29 07:06:01.465,0.2.12,24.0,Augmentor,,,,,693.0,664.0,https://pypi.org/project/Augmentor,10852.0,10852.0,,,,,,,,3.0,,2022-04-27 09:29:23.000,29.0,2.0,,,,,,,,,,,,,,,,,, +415,ArrayFire,arrayfire/arrayfire,gpu-utilities,,https://github.com/arrayfire/arrayfire,https://github.com/arrayfire/arrayfire,BSD-3-Clause,2014-10-28 20:58:33.000,2023-11-05 23:29:16.000000,2023-10-05 16:17:35,6152.0,9.0,510.0,153.0,1902.0,294.0,1324.0,4263.0,ArrayFire: a general purpose GPU library.,88.0,27,True,2023-08-29 19:49:26.000,3.9.0,34.0,arrayfire,,,,,7.0,,https://pypi.org/project/arrayfire,968.0,1014.0,,,,,,,,2.0,4735.0,2022-02-22 21:42:15.000,7.0,,,,,,,,,,,,,,,,,,, +416,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,,950.0,145.0,30.0,46.0,77.0,4116.0,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,,,,7693.0,7503.0,https://pypi.org/project/vadersentiment,167729.0,168147.0,https://anaconda.org/conda-forge/vadersentiment,2023-06-16 19:25:16.902,13382.0,,,,,3.0,,2020-05-22 15:07:00.000,190.0,,,,,,,,,,,,,,,,,,, +417,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 20:22:54.000,2023-09-19 00:32:03.000000,2022-08-06 21:47:18,182.0,,402.0,66.0,56.0,86.0,55.0,4067.0,A Unified Toolkit for Deep Learning Based Document Image Analysis.,8.0,27,False,2022-04-06 04:38:09.000,0.3.4,11.0,layoutparser,,,,,707.0,703.0,https://pypi.org/project/layoutparser,136669.0,136669.0,,,,,,,,3.0,,2022-04-06 04:38:09.000,4.0,,,,,,,,,,,,,,,,,,, +418,pytorch-summary,sksq96/pytorch-summary,pytorch-utils,,https://github.com/sksq96/pytorch-summary,https://github.com/sksq96/pytorch-summary,MIT,2018-04-23 13:58:04.000,2023-08-21 13:36:56.000000,2021-05-10 18:34:53,57.0,,403.0,39.0,55.0,118.0,43.0,3885.0,Model summary in PyTorch similar to `model.summary()` in Keras.,11.0,27,False,2018-09-26 05:07:28.000,1.5.1,12.0,torchsummary,,,,['pytorch'],11573.0,11467.0,https://pypi.org/project/torchsummary,141498.0,141498.0,,,,,,,,2.0,,2018-09-26 05:07:28.000,106.0,,,,,,,,,,,,,,,,,,, +419,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,,964.0,282.0,226.0,11.0,356.0,3856.0,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,500091.0,500526.0,https://anaconda.org/conda-forge/tensorflowonspark,2023-06-16 16:19:28.736,20481.0,,,,,3.0,,2022-04-21 20:05:56.000,5.0,,,,,,,,,,,,,,,,,,, +420,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 03:04:11,1137.0,1.0,690.0,60.0,1011.0,122.0,736.0,3803.0,"OpenMMLab Text Detection, Recognition and Understanding Toolbox.",85.0,27,True,2023-07-04 07:11:53.000,1.0.1,20.0,mmocr,,,,['pytorch'],94.0,94.0,https://pypi.org/project/mmocr,5641.0,5641.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +421,Porcupine,Picovoice/Porcupine,audio,,https://github.com/Picovoice/porcupine,https://github.com/Picovoice/porcupine,Apache-2.0,2018-03-08 01:55:25.000,2023-11-16 03:25:07.000000,2023-11-16 00:46:24,1126.0,28.0,444.0,60.0,667.0,1.0,494.0,3235.0,On-device wake word detection powered by deep learning.,36.0,27,True,2023-10-26 19:17:54.000,3.0,32.0,pvporcupine,,,,,37.0,24.0,https://pypi.org/project/pvporcupine,5371.0,5371.0,,,,,,,,3.0,,2023-10-25 17:37:16.000,13.0,,,,,,,,,,,,,,,,,,, +422,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,,455.0,84.0,245.0,61.0,154.0,3005.0,fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.,61.0,27,True,2022-10-31 14:47:34.183,1.0.1,24.0,fastnlp,,,,,165.0,163.0,https://pypi.org/project/fastnlp,27931.0,27932.0,,,,,,,,3.0,75.0,2022-10-31 14:47:34.183,2.0,,,,,,,,,,,,,,,,,,, +423,DeepVariant,google/deepvariant,medical-data,,https://github.com/google/deepvariant,https://github.com/google/deepvariant,BSD-3-Clause,2017-11-23 01:56:22.000,2023-11-02 19:18:07.000000,2023-11-02 19:13:15,2359.0,106.0,682.0,163.0,60.0,7.0,662.0,2962.0,DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA..,28.0,27,True,2023-10-23 21:02:38.000,1.6.0,20.0,,bioconda/deepvariant,,,['tensorflow'],,,,,905.0,https://anaconda.org/bioconda/deepvariant,2023-06-16 16:08:50.013,58781.0,,,,,3.0,4690.0,,,,,,,,,,,,,,,,,,,,, +424,RecBole,RUCAIBox/RecBole,recommender-systems,,https://github.com/RUCAIBox/RecBole,https://github.com/RUCAIBox/RecBole,MIT,2020-06-11 15:18:11.000,2023-11-15 16:09:41.000000,2023-11-15 16:09:41,4318.0,84.0,546.0,41.0,991.0,171.0,653.0,2918.0,"A unified, comprehensive and efficient recommendation library.",69.0,27,True,2023-11-04 11:23:19.000,1.2.0,10.0,recbole,aibox/recbole,,,['pytorch'],2.0,,https://pypi.org/project/recbole,3432.0,3548.0,https://anaconda.org/aibox/recbole,2023-11-01 15:53:42.380,4188.0,,,,,3.0,,2023-10-31 12:52:34.000,2.0,,,,,,,,,,,,,,,,,,, +425,Neural Network Libraries,sony/nnabla,ml-frameworks,,https://github.com/sony/nnabla,https://github.com/sony/nnabla,Apache-2.0,2017-06-26 01:07:10.000,2023-11-13 09:52:17.000000,2023-11-13 09:52:14,3479.0,52.0,329.0,157.0,1154.0,20.0,59.0,2655.0,Neural Network Libraries.,73.0,27,True,2023-11-06 05:57:30.000,1.37.0,72.0,nnabla,,,,,,,https://pypi.org/project/nnabla,4496.0,4507.0,,,,,,,,3.0,906.0,,,,,,,,,,,,,,,,,,,,, +426,Foolbox,bethgelab/foolbox,adversarial,,https://github.com/bethgelab/foolbox,https://github.com/bethgelab/foolbox,MIT,2017-06-14 13:05:48.000,2023-11-09 09:05:16.000000,2023-11-09 09:05:15,1698.0,2.0,413.0,45.0,350.0,32.0,345.0,2570.0,"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,,,,543.0,529.0,https://pypi.org/project/foolbox,2178.0,2486.0,https://anaconda.org/conda-forge/foolbox,2023-06-16 19:20:41.396,12334.0,,,,,2.0,,2022-04-02 15:26:45.000,14.0,,,,,,,,,,,,,,,,,,, +427,Essentia,MTG/essentia,audio,,https://github.com/MTG/essentia,https://github.com/MTG/essentia,AGPL-3.0,2013-06-03 14:53:47.000,2023-11-06 09:42:59.000000,2023-10-24 14:45:10,3435.0,20.0,513.0,109.0,337.0,406.0,653.0,2545.0,"C++ library for audio and music analysis, description and synthesis, including Python bindings.",79.0,27,False,2015-03-31 16:33:30.000,2.0,20.0,essentia,,,,,541.0,525.0,https://pypi.org/project/essentia,6675.0,6675.0,,,,,,,,3.0,,2023-10-27 09:13:56.000,16.0,,,,,,,,,,,,,,,,,,, +428,TabNet,dreamquark-ai/tabnet,pytorch-utils,,https://github.com/dreamquark-ai/tabnet,https://github.com/dreamquark-ai/tabnet,MIT,2019-10-17 11:17:32.000,2023-11-16 13:19:44.000000,2023-07-23 14:42:27,191.0,,442.0,37.0,237.0,52.0,265.0,2332.0,PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf.,21.0,27,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,39942.0,40194.0,https://anaconda.org/conda-forge/pytorch-tabnet,2023-06-16 19:28:15.390,5810.0,,,,,2.0,,2023-07-23 13:26:57.000,11.0,,,,,,,,,,,,,,,,,,, +429,Spektral,danielegrattarola/spektral,graph,,https://github.com/danielegrattarola/spektral,https://github.com/danielegrattarola/spektral,MIT,2019-01-17 11:19:10.000,2023-06-01 22:20:25.000000,2023-06-01 22:10:29,1131.0,,335.0,44.0,57.0,64.0,201.0,2303.0,Graph Neural Networks with Keras and Tensorflow 2.,27.0,27,True,2023-06-01 22:20:25.000,1.3,34.0,spektral,,,,['tensorflow'],247.0,241.0,https://pypi.org/project/spektral,5333.0,5333.0,,,,,,,,2.0,,2023-06-01 22:17:00.684,6.0,,,,,,,,,,,,,,,,,,, +430,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,,329.0,79.0,55.0,161.0,68.0,2214.0,Multilingual text (NLP) processing toolkit.,26.0,27,False,2021-12-15 16:11:38.716,15.5.1,9.0,polyglot,,,,,1208.0,1116.0,https://pypi.org/project/polyglot,53381.0,53381.0,,,,,,,,3.0,,2016-07-03 20:05:42.000,92.0,,,,,,,,,,,,,,,,,,, +431,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,,317.0,65.0,38.0,96.0,160.0,2164.0,Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization.,22.0,27,True,2019-02-28 09:16:54.000,0.4.1,9.0,hyperas,,,,['tensorflow'],352.0,328.0,https://pypi.org/project/hyperas,10723.0,10723.0,,,,,,,,2.0,,2019-02-28 09:16:54.000,24.0,,,,,,,,,,,,,,,,,,, +432,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 16:48:48.000,2023-09-30 17:24:12.000000,2023-09-30 17:24:05,635.0,16.0,226.0,67.0,31.0,53.0,90.0,2136.0,Fast and Easy Infinite Neural Networks in Python.,27.0,27,True,2023-08-25 00:01:21.000,0.6.4,16.0,neural-tangents,,,,,86.0,86.0,https://pypi.org/project/neural-tangents,2415.0,2423.0,,,,,,,,3.0,331.0,,,,,,,,,,,,,,,,,,,,, +433,PyTextRank,DerwenAI/pytextrank,nlp,,https://github.com/DerwenAI/pytextrank,https://github.com/DerwenAI/pytextrank,MIT,2016-10-02 18:39:12.000,2023-11-05 14:22:04.000000,2023-08-22 16:20:29,468.0,5.0,313.0,62.0,150.0,7.0,91.0,2064.0,Python implementation of TextRank algorithms (textgraphs) for phrase extraction.,19.0,27,True,2023-08-07 19:46:52.000,3.2.5,21.0,pytextrank,,,,,510.0,510.0,https://pypi.org/project/pytextrank,56251.0,56251.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +434,TensorFlow Privacy,tensorflow/privacy,privacy-ml,,https://github.com/tensorflow/privacy,https://github.com/tensorflow/privacy,Apache-2.0,2018-12-21 18:46:46.000,2023-11-14 18:51:44.000000,2023-10-24 18:54:45,847.0,23.0,432.0,62.0,311.0,113.0,91.0,1824.0,Library for training machine learning models with privacy for training data.,56.0,27,True,2023-10-11 15:51:39.000,0.8.12,30.0,tensorflow-privacy,,,,['tensorflow'],14.0,,https://pypi.org/project/tensorflow-privacy,16792.0,16794.0,,,,,,,,2.0,124.0,2023-10-11 15:51:39.000,14.0,,,,,,,,,,,,,,,,,,, +435,FARM,deepset-ai/FARM,nlp,,https://github.com/deepset-ai/FARM,https://github.com/deepset-ai/FARM,Apache-2.0,2019-07-17 14:51:12.000,2023-10-25 15:56:37.000000,2022-08-31 09:45:24,594.0,,237.0,55.0,445.0,3.0,402.0,1697.0,Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.,37.0,27,False,2023-03-07 23:47:39.075,0.7.1,25.0,farm,conda-forge/farm,,,['pytorch'],214.0,211.0,https://pypi.org/project/farm,2818.0,2918.0,https://anaconda.org/conda-forge/farm,2023-06-16 19:25:45.236,3120.0,,,,,3.0,,2020-09-14 15:23:01.000,3.0,,,,,,,,,,,,,,,,,,, +436,Labml,labmlai/labml,ml-experiments,,https://github.com/labmlai/labml,https://github.com/labmlai/labml,MIT,2018-11-16 09:34:48.000,2023-11-16 06:27:14.000000,2023-11-16 06:27:11,1581.0,225.0,113.0,29.0,105.0,18.0,20.0,1690.0,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,,,,,116.0,110.0,https://pypi.org/project/labml,2742.0,2742.0,,,,,,,,3.0,,2023-09-10 04:20:57.000,6.0,,,,,,,,,,,,,,,,,,, +437,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,,318.0,74.0,742.0,54.0,168.0,1477.0,ChainerCV: a Library for Deep Learning in Computer Vision.,39.0,27,False,2019-06-12 11:55:40.000,0.13.1,25.0,chainercv,,,,,401.0,371.0,https://pypi.org/project/chainercv,2415.0,2415.0,,,,,,,,3.0,,2019-06-12 11:55:40.000,30.0,,,,,,,,,,,,,,,,,,, +438,cuGraph,rapidsai/cugraph,gpu-utilities,,https://github.com/rapidsai/cugraph,https://github.com/rapidsai/cugraph,Apache-2.0,2018-11-15 18:07:11.000,2023-11-16 05:58:17.000000,2023-11-15 23:01:59,6170.0,129.0,255.0,47.0,2432.0,307.0,1326.0,1427.0,cuGraph - RAPIDS Graph Analytics Library.,106.0,27,True,2023-10-11 18:08:26.000,23.10.00,32.0,cugraph,conda-forge/libcugraph,,,,4.0,2.0,https://pypi.org/project/cugraph,222.0,781.0,https://anaconda.org/conda-forge/libcugraph,2023-06-16 19:25:39.870,17344.0,,,,,2.0,,2020-06-01 20:09:06.000,2.0,,,,,,,,,,,,,,,,,,, +439,pycm,sepandhaghighi/pycm,others,,https://github.com/sepandhaghighi/pycm,https://github.com/sepandhaghighi/pycm,MIT,2018-01-22 19:46:54.000,2023-11-16 07:21:04.000000,2023-06-07 07:35:59,3033.0,,118.0,37.0,328.0,11.0,187.0,1402.0,Multi-class confusion matrix library in Python.,17.0,27,True,2023-06-07 14:06:28.000,4.0,44.0,pycm,,,,,265.0,249.0,https://pypi.org/project/pycm,37202.0,37202.0,,,,,,,,3.0,,2022-04-27 15:18:44.000,16.0,,,,,,,,,,,,,,,,,,, +440,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,,173.0,26.0,36.0,2.0,114.0,1199.0,Multivariate imputation and matrix completion algorithms implemented in Python.,12.0,27,False,2021-10-21 17:50:40.000,0.7.0,29.0,fancyimpute,,,,['sklearn'],1499.0,1467.0,https://pypi.org/project/fancyimpute,31211.0,31211.0,,,,,,,,2.0,,2021-10-21 17:50:40.000,32.0,,,,,,,,,,,,,,,,,,, +441,stockstats,jealous/stockstats,financial-data,,https://github.com/jealous/stockstats,https://github.com/jealous/stockstats,BSD-3-Clause,2016-06-05 15:21:22.000,2023-09-25 14:05:54.000000,2023-07-30 07:05:58,66.0,,287.0,57.0,62.0,12.0,108.0,1189.0,Supply a wrapper ``StockDataFrame`` based on the ``pandas.DataFrame`` with inline stock statistics/indicators support.,9.0,27,True,2023-07-30 07:07:37.000,0.6.2,24.0,stockstats,,,,,984.0,955.0,https://pypi.org/project/stockstats,10400.0,10400.0,,,,,,,,3.0,,2023-07-30 07:07:37.000,29.0,,,,,,,,,,,,,,,,,,, +442,Madmom,CPJKU/madmom,audio,,https://github.com/CPJKU/madmom,https://github.com/CPJKU/madmom,BSD-3-Clause,2015-09-08 08:19:06.000,2023-10-26 11:34:14.000000,2023-09-10 06:51:22,1752.0,6.0,186.0,41.0,256.0,59.0,211.0,1176.0,Python audio and music signal processing library.,20.0,27,True,2018-11-14 14:57:41.000,0.16.1,11.0,madmom,,,,,405.0,372.0,https://pypi.org/project/madmom,3603.0,3603.0,,,,,,,,3.0,,2018-11-14 14:56:22.000,33.0,,,,,,,,,,,,,,,,,,, +443,scikit-lego,koaning/scikit-lego,sklearn-utils,,https://github.com/koaning/scikit-lego,https://github.com/koaning/scikit-lego,MIT,2019-01-21 15:30:15.000,2023-11-15 10:18:35.000000,2023-11-15 10:17:58,476.0,22.0,106.0,22.0,316.0,29.0,253.0,1080.0,Extra blocks for scikit-learn pipelines.,62.0,27,True,2023-10-17 19:17:47.000,0.6.16,42.0,scikit-lego,conda-forge/scikit-lego,,,['sklearn'],128.0,120.0,https://pypi.org/project/scikit-lego,29487.0,30546.0,https://anaconda.org/conda-forge/scikit-lego,2023-07-19 07:17:55.286,44518.0,,,,,2.0,,2023-10-17 19:19:27.000,8.0,,,,,,,,,,,,,,,,,,, +444,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 22:15:53.000,2023-11-12 14:25:41.000000,2023-11-12 14:25:39,1015.0,40.0,203.0,24.0,119.0,24.0,183.0,1004.0,Survival analysis built on top of scikit-learn.,18.0,27,False,2023-10-08 13:11:29.000,0.22.1,27.0,scikit-survival,conda-forge/scikit-survival,,,['sklearn'],387.0,376.0,https://pypi.org/project/scikit-survival,36010.0,38760.0,https://anaconda.org/conda-forge/scikit-survival,2023-10-20 18:47:48.968,66020.0,,,,,2.0,,2023-10-08 13:11:29.000,11.0,,,,,,,,,,,,,,,,,,, +445,USearch,unum-cloud/usearch,nn-search,,https://github.com/unum-cloud/usearch,https://github.com/unum-cloud/usearch,Apache-2.0,2023-02-22 09:20:20.000,2023-11-13 21:39:36.000000,2023-11-13 21:00:57,1435.0,504.0,49.0,12.0,256.0,10.0,48.0,979.0,"Fastest Open-Source Search & Clustering engine for Vectors & Strings in C++, C, Python, JavaScript, Rust, Java,..",26.0,27,True,2023-11-13 21:02:20.900,2.8.12,100.0,usearch,,unum/usearch,,,29.0,24.0,https://pypi.org/project/usearch,47042.0,54786.0,,,,https://hub.docker.com/r/unum/usearch,2023-11-13 21:02:03.268277,1.0,41.0,3.0,589.0,2023-11-13 21:39:36.000,1.0,,usearch,https://www.npmjs.com/package/usearch,7642.0,,2023-11-13 21:02:20.900,4.0,,,,,,,,,,,, +446,bambi,bambinos/bambi,probabilistics,,https://github.com/bambinos/bambi,https://github.com/bambinos/bambi,MIT,2016-05-16 03:21:00.000,2023-11-15 05:46:12.000000,2023-11-11 14:03:11,789.0,25.0,111.0,32.0,391.0,70.0,297.0,948.0,BAyesian Model-Building Interface (Bambi) in Python.,35.0,27,True,2023-10-25 02:06:14.000,0.13.0,28.0,bambi,conda-forge/bambi,,,,105.0,96.0,https://pypi.org/project/bambi,14867.0,15656.0,https://anaconda.org/conda-forge/bambi,2023-10-27 17:16:55.433,27639.0,,,,,3.0,,2023-10-25 02:06:14.000,9.0,,,,,,,,,,,,,,,,,,, +447,SMAC3,automl/SMAC3,hyperopt,,https://github.com/automl/SMAC3,https://github.com/automl/SMAC3,BSD-1-Clause,2016-08-17 10:58:05.000,2023-11-16 11:26:27.000000,2023-08-01 13:02:51,2070.0,,197.0,43.0,580.0,74.0,428.0,924.0,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,,,,46.0,,https://pypi.org/project/smac,29439.0,29990.0,https://anaconda.org/conda-forge/smac,2023-08-11 21:35:06.370,17645.0,,,,,2.0,,2023-08-01 13:30:07.000,46.0,,,,,,,,,,,,,,,,,,, +448,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,,185.0,39.0,173.0,61.0,174.0,906.0,A Jupyter - Three.js bridge.,30.0,27,True,2023-02-20 00:24:01.104,2.4.2,46.0,pythreejs,conda-forge/pythreejs,,,['jupyter'],95.0,28.0,https://pypi.org/project/pythreejs,64471.0,73948.0,https://anaconda.org/conda-forge/pythreejs,2023-06-16 13:16:30.947,515211.0,,,,,3.0,,2023-02-20 00:24:01.104,56.0,,jupyter-threejs,https://www.npmjs.com/package/jupyter-threejs,3753.0,,2023-02-20 00:16:17.277,11.0,,,,,,,,,,,, +449,mahotas,luispedro/mahotas,image,,https://github.com/luispedro/mahotas,https://github.com/luispedro/mahotas,MIT,2010-01-31 00:13:06.000,2023-07-26 22:41:29.989000,2023-06-09 22:11:37,1299.0,,149.0,49.0,56.0,21.0,65.0,814.0,Computer Vision in Python.,34.0,27,True,2022-06-28 14:25:55.000,1.4.13,59.0,mahotas,conda-forge/mahotas,,,,1271.0,1143.0,https://pypi.org/project/mahotas,13976.0,23450.0,https://anaconda.org/conda-forge/mahotas,2023-07-26 22:41:29.989,388450.0,,,,,3.0,,2022-06-28 08:11:26.000,128.0,,,,,,,,,,,,,,,,,,, +450,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 21:02:09.000,2023-11-15 21:31:18.000000,2023-11-15 21:31:17,826.0,32.0,123.0,30.0,83.0,27.0,75.0,566.0,For recording and retrieving metadata associated with ML developer and data scientist workflows.,19.0,27,True,2023-08-10 00:37:12.000,1.14.0,42.0,ml-metadata,,,,,386.0,364.0,https://pypi.org/project/ml-metadata,66200.0,66237.0,,,,,,,,3.0,2118.0,2023-08-10 00:37:12.000,22.0,,,,,,,,,,,,,,,,,,, +451,sklearn-crfsuite,TeamHG-Memex/sklearn-crfsuite,sklearn-utils,,https://github.com/TeamHG-Memex/sklearn-crfsuite,https://github.com/TeamHG-Memex/sklearn-crfsuite,MIT,2015-11-26 21:15:41.000,2023-09-25 19:44:09.000000,2019-12-05 08:17:22,46.0,,210.0,23.0,17.0,45.0,23.0,423.0,scikit-learn inspired API for CRFsuite.,6.0,27,False,2017-06-22 18:49:27.000,0.3.6,9.0,sklearn-crfsuite,conda-forge/sklearn-crfsuite,,,['sklearn'],7459.0,7178.0,https://pypi.org/project/sklearn-crfsuite,386122.0,387041.0,https://anaconda.org/conda-forge/sklearn-crfsuite,2023-06-16 19:18:37.991,39551.0,,,,,2.0,,2017-06-22 18:49:27.000,281.0,,,,,,,,,,,,,,,,,,, +452,CNTK,microsoft/CNTK,ml-frameworks,,https://github.com/microsoft/CNTK,https://github.com/microsoft/CNTK,,2015-11-26 09:52:06.000,2023-03-11 07:31:35.000000,2022-09-23 14:06:50,16117.0,,4245.0,1261.0,557.0,750.0,2543.0,17411.0,"Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit.",274.0,26,False,2019-04-26 14:13:32.000,2.7,32.0,cntk,,,,,,,https://pypi.org/project/cntk,430.0,582.0,,,,,,,,3.0,14320.0,,,-4.0,,,,,,,,,,,,,,,,,, +453,Ciphey,Ciphey/Ciphey,nlp,,https://github.com/Ciphey/Ciphey,https://github.com/Ciphey/Ciphey,MIT,2019-07-16 20:20:39.000,2023-10-14 18:53:31.974373,2023-10-12 07:20:40,1894.0,1.0,868.0,217.0,453.0,50.0,264.0,14339.0,"Automatically decrypt encryptions without knowing the key or cipher, decode encodings, and crack hashes.",48.0,26,True,2021-06-06 17:14:16.000,5.14.0,29.0,ciphey,,remnux/ciphey,,,,,https://pypi.org/project/ciphey,52264.0,52670.0,,,,https://hub.docker.com/r/remnux/ciphey,2023-10-14 18:53:31.974373,14.0,21133.0,3.0,,,,,,,,,,,,,,,,,,,,,, +454,Trax,google/trax,others,,https://github.com/google/trax,https://github.com/google/trax,Apache-2.0,2019-10-05 15:09:14.000,2023-11-15 06:27:03.000000,2023-11-15 06:26:56,1617.0,3.0,808.0,147.0,1559.0,114.0,125.0,7794.0,Trax Deep Learning with Clear Code and Speed.,79.0,26,True,2021-10-26 20:29:38.000,1.4.1,24.0,trax,,,,,127.0,126.0,https://pypi.org/project/trax,4302.0,4302.0,,,,,,,,3.0,,2021-10-26 20:29:00.538,1.0,,,,,,,,,,,,,,,,,,, +455,CuPy,cupy/cupy,gpu-utilities,,https://github.com/cupy/cupy,https://github.com/cupy/cupy,MIT,2016-11-01 09:54:45.000,2023-10-04 22:41:52.749000,,,,700.0,,,511.0,,7117.0,NumPy & SciPy for GPU.,257.0,26,True,2023-08-08 06:14:47.000,12.2.0,136.0,cupy,conda-forge/cupy,cupy/cupy,,,201.0,,https://pypi.org/project/cupy,22925.0,99685.0,https://anaconda.org/conda-forge/cupy,2023-10-04 22:41:52.749,3194917.0,https://hub.docker.com/r/cupy/cupy,2023-08-15 12:32:31.435488,11.0,58115.0,3.0,,2023-08-08 06:14:47.000,201.0,,,,,,,,,,,,,,,,,,, +456,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,,979.0,184.0,327.0,334.0,292.0,5763.0,MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion..,86.0,26,False,2020-07-24 06:34:39.000,0.3.1,12.0,mmdnn,,,,,116.0,113.0,https://pypi.org/project/mmdnn,441.0,492.0,,,,,,,,2.0,3711.0,2020-07-24 06:34:39.000,3.0,,,,,,,,,,,,,,,,,,, +457,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,,583.0,140.0,31.0,57.0,53.0,5472.0,Extract Keywords from sentence or Replace keywords in sentences.,7.0,26,False,,,1.0,flashtext,conda-forge/flashtext,,,,1390.0,1390.0,https://pypi.org/project/flashtext,1059851.0,1060301.0,https://anaconda.org/conda-forge/flashtext,2023-06-16 19:20:49.106,18037.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +458,FATE,FederatedAI/FATE,privacy-ml,,https://github.com/FederatedAI/FATE,https://github.com/FederatedAI/FATE,Apache-2.0,2019-01-24 10:32:43.000,2023-11-16 09:11:06.000000,2023-11-10 02:16:43,11569.0,63.0,1521.0,142.0,3385.0,794.0,1027.0,5292.0,An Industrial Grade Federated Learning Framework.,94.0,26,True,2023-09-12 07:58:53.000,1.11.3,46.0,ETAF,,,,,,,https://pypi.org/project/ETAF,3.0,3.0,,,,,,,,3.0,,2020-05-06 09:35:40.000,,,,,,,,,,,,,,,,,,,, +459,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,,548.0,105.0,617.0,89.0,606.0,4114.0,Visual analysis and diagnostic tools to facilitate machine learning model selection.,113.0,26,True,2022-08-21 12:49:43.000,1.5,24.0,yellowbrick,conda-forge/yellowbrick,,,['sklearn'],83.0,,https://pypi.org/project/yellowbrick,436281.0,438133.0,https://anaconda.org/conda-forge/yellowbrick,2023-06-16 19:21:13.554,72263.0,,,,,2.0,,2022-08-21 16:11:55.287,83.0,,,,,,,,,,,,,,,,,,, +460,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 03:20:28,249.0,2.0,799.0,52.0,50.0,61.0,106.0,3838.0,Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models.,16.0,26,True,2023-04-07 19:27:35.000,2.5.3,32.0,facenet-pytorch,,,,['pytorch'],1392.0,1373.0,https://pypi.org/project/facenet-pytorch,30072.0,44977.0,,,,,,,,3.0,715479.0,2021-03-10 01:00:20.000,19.0,,,,,,,,,,,,,,,,,,, +461,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,,538.0,146.0,237.0,34.0,631.0,3257.0,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'],432.0,430.0,https://pypi.org/project/tensorforce,725.0,725.0,,,,,,,,3.0,,2021-08-30 20:13:45.000,2.0,,,,,,,,,,,,,,,,,,, +462,Hummingbird,microsoft/hummingbird,model-serialisation,,https://github.com/microsoft/hummingbird,https://github.com/microsoft/hummingbird,MIT,2020-03-12 20:27:03.000,2023-11-04 12:31:16.000000,2023-10-13 15:09:00,448.0,3.0,266.0,46.0,439.0,57.0,246.0,3237.0,Hummingbird compiles trained ML models into tensor computation for faster inference.,39.0,26,True,2023-07-12 16:55:59.000,0.4.9,22.0,hummingbird-ml,conda-forge/hummingbird-ml,,,,3.0,,https://pypi.org/project/hummingbird-ml,9304.0,10458.0,https://anaconda.org/conda-forge/hummingbird-ml,2023-07-12 18:59:37.482,36685.0,,,,,2.0,355.0,2020-06-10 22:08:15.000,3.0,,,,,,,,,,,,,,,,,,, +463,pytorchvideo,facebookresearch/pytorchvideo,image,,https://github.com/facebookresearch/pytorchvideo,https://github.com/facebookresearch/pytorchvideo,Apache-2.0,2021-03-09 20:39:13.000,2023-10-30 16:50:13.000000,2023-10-30 16:34:46,179.0,3.0,363.0,165.0,82.0,87.0,99.0,3045.0,A deep learning library for video understanding research.,55.0,26,True,2022-01-20 00:16:35.000,0.1.5,9.0,pytorchvideo,,,,['pytorch'],7.0,,https://pypi.org/project/pytorchvideo,79194.0,79194.0,,,,,,,,3.0,,2022-01-20 00:16:35.000,7.0,,,,,,,,,,,,,,,,,,, +464,SHOGUN,shogun-toolbox/shogun,ml-frameworks,,https://github.com/shogun-toolbox/shogun,https://github.com/shogun-toolbox/shogun,BSD-3-Clause,2011-04-01 10:44:32.000,2023-06-16 13:22:38.816000,2020-12-08 16:56:38,17588.0,,1050.0,218.0,3648.0,429.0,1110.0,2976.0,Unified and efficient Machine Learning.,248.0,26,False,2019-07-05 10:23:31.000,shogun_6.1.4,10.0,,conda-forge/shogun,shogun/shogun,,,,,,,1698.0,https://anaconda.org/conda-forge/shogun,2023-06-16 13:22:38.816,128371.0,https://hub.docker.com/r/shogun/shogun,2019-01-31 13:45:10.435327,1.0,1502.0,3.0,,,,,,,,,,,,shogun,,,,,,,,,, +465,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,,1007.0,169.0,214.0,42.0,146.0,2869.0,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,,,,675.0,657.0,https://pypi.org/project/alphalens,2808.0,3097.0,https://anaconda.org/conda-forge/alphalens,2023-06-16 16:09:06.563,19969.0,,,,,3.0,,2020-04-27 21:03:10.000,18.0,,,,,,,,,,,,,,,,,,, +466,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,,329.0,67.0,167.0,164.0,112.0,2694.0,A library for debugging/inspecting machine learning classifiers and explaining their predictions.,14.0,26,False,2022-05-11 09:37:12.000,0.13.0,30.0,eli5,conda-forge/eli5,,,,90.0,,https://pypi.org/project/eli5,437426.0,439288.0,https://anaconda.org/conda-forge/eli5,2023-06-16 13:18:29.838,145294.0,,,,,2.0,,2022-05-11 09:37:12.000,90.0,,,,,,,,,,,,,,,,,,, +467,lazypredict,shankarpandala/lazypredict,hyperopt,,https://github.com/shankarpandala/lazypredict,https://github.com/shankarpandala/lazypredict,MIT,2019-11-16 09:56:35.000,2023-11-14 18:33:51.000000,2022-09-28 17:12:28,249.0,,255.0,26.0,316.0,73.0,37.0,2265.0,Lazy Predict help build a lot of basic models without much code and helps understand which models works better without..,17.0,26,False,2022-09-28 08:51:19.531,0.2.12,12.0,lazypredict,conda-forge/lazypredict,,,['sklearn'],724.0,723.0,https://pypi.org/project/lazypredict,32681.0,32778.0,https://anaconda.org/conda-forge/lazypredict,2023-06-16 19:27:14.287,2634.0,,,,,2.0,,2022-09-28 08:51:19.531,1.0,,,,,,,,,,,,,,,,,,, +468,Fairness 360,Trusted-AI/AIF360,interpretability,,https://github.com/Trusted-AI/AIF360,https://github.com/Trusted-AI/AIF360,Apache-2.0,2018-08-22 20:47:15.000,2023-11-10 19:35:31.000000,2023-11-10 19:35:31,417.0,4.0,771.0,91.0,263.0,165.0,93.0,2200.0,"A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and..",70.0,26,True,2022-09-03 03:41:16.000,0.5.0,10.0,aif360,conda-forge/aif360,,,,333.0,321.0,https://pypi.org/project/aif360,6509.0,6707.0,https://anaconda.org/conda-forge/aif360,2023-10-14 06:57:34.052,7526.0,,,,,2.0,,2021-03-04 18:11:34.000,12.0,,,,,,,,,,,,,,,,,,, +469,modAL,modAL-python/modAL,others,,https://github.com/modAL-python/modAL,https://github.com/modAL-python/modAL,MIT,2017-11-14 14:01:15.000,2023-11-15 16:37:41.000000,2023-06-01 12:18:23,739.0,,351.0,42.0,42.0,95.0,56.0,2051.0,A modular active learning framework for Python.,20.0,26,True,2023-11-15 16:37:41.000,0.55.4094,385.0,modAL,,,,['sklearn'],25.0,22.0,https://pypi.org/project/modAL,136832.0,136832.0,,,,,,,,3.0,29.0,2023-11-15 16:37:41.000,3.0,,,,,,,,,,,,,,,,,,, +470,CausalNex,quantumblacklabs/causalnex,interpretability,,https://github.com/mckinsey/causalnex,https://github.com/mckinsey/causalnex,Apache-2.0,2019-12-12 15:26:09.000,2023-09-27 23:50:48.000000,2023-07-11 07:11:36,210.0,,228.0,46.0,84.0,17.0,115.0,2025.0,A Python library that helps data scientists to infer causation rather than observing correlation.,35.0,26,True,2023-06-22 13:11:59.629,0.12.1,20.0,causalnex,,,,"['pytorch', 'sklearn']",105.0,102.0,https://pypi.org/project/causalnex,3675.0,3675.0,,,,,,,,2.0,,2021-11-11 15:15:32.000,3.0,,,,,,,,mckinsey/causalnex,,,,,,,,,,, +471,petastorm,uber/petastorm,distributed-ml,,https://github.com/uber/petastorm,https://github.com/uber/petastorm,Apache-2.0,2018-06-15 23:15:29.000,2023-05-12 18:37:24.000000,2023-02-03 00:10:35,690.0,,275.0,41.0,494.0,172.0,151.0,1687.0,Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets..,49.0,26,True,2022-12-16 20:54:02.878,0.12.1,86.0,petastorm,,,,,149.0,141.0,https://pypi.org/project/petastorm,31262.0,31268.0,,,,,,,,3.0,432.0,2023-02-03 00:33:00.499,8.0,,,,,,,,,,,,,,,,,,, +472,TNT,pytorch/tnt,ml-experiments,,https://github.com/pytorch/tnt,https://github.com/pytorch/tnt,BSD-3-Clause,2016-12-10 11:49:58.000,2023-11-15 23:10:14.000000,2023-11-15 23:05:39,739.0,112.0,250.0,48.0,558.0,28.0,61.0,1575.0,A lightweight library for PyTorch training tools and utilities.,108.0,26,True,2018-07-29 23:16:03.000,0.0.4,3.0,torchnet,,,,['pytorch'],38.0,,https://pypi.org/project/torchnet,6932.0,6932.0,,,,,,,,3.0,,2018-07-29 23:16:03.000,38.0,,,,,,,,,,,,,,,,,,, +473,AutoViz,AutoViML/AutoViz,data-viz,,https://github.com/AutoViML/AutoViz,https://github.com/AutoViML/AutoViz,Apache-2.0,2019-07-17 17:14:06.000,2023-11-05 16:37:31.000000,2023-11-05 16:36:40,172.0,2.0,181.0,30.0,18.0,3.0,80.0,1493.0,"Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators..",14.0,26,True,,,34.0,autoviz,conda-forge/autoviz,,,,574.0,574.0,https://pypi.org/project/autoviz,487759.0,489394.0,https://anaconda.org/conda-forge/autoviz,2023-07-21 21:17:07.584,44148.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +474,PyKEEN,pykeen/pykeen,graph,,https://github.com/pykeen/pykeen,https://github.com/pykeen/pykeen,MIT,2020-02-24 07:26:03.000,2023-11-16 10:42:22.000000,2023-10-07 11:26:54,2816.0,19.0,168.0,27.0,659.0,109.0,431.0,1384.0,A Python library for learning and evaluating knowledge graph embeddings.,36.0,26,True,2023-02-22 18:29:02.145,1.10.1,46.0,pykeen,,,,,5.0,,https://pypi.org/project/pykeen,5043.0,5047.0,,,,,,,,2.0,175.0,2023-02-22 18:29:02.145,5.0,,,,,,,,,,,,,,,,,,, +475,torch-scatter,rusty1s/pytorch_scatter,pytorch-utils,,https://github.com/rusty1s/pytorch_scatter,https://github.com/rusty1s/pytorch_scatter,MIT,2017-12-16 16:34:23.000,2023-11-16 10:59:32.831000,2023-10-05 18:36:18,1029.0,1.0,165.0,18.0,62.0,24.0,316.0,1376.0,PyTorch Extension Library of Optimized Scatter Operations.,28.0,26,True,2023-10-06 08:49:07.000,2.1.2,32.0,torch-scatter,conda-forge/pytorch_scatter,,,['pytorch'],77.0,,https://pypi.org/project/torch-scatter,50697.0,56279.0,https://anaconda.org/conda-forge/pytorch_scatter,2023-11-16 10:59:32.831,228882.0,,,,,2.0,,2023-10-06 08:49:07.000,77.0,,,,,,,,,,,,,,,,,,, +476,minisom,JustGlowing/minisom,others,,https://github.com/JustGlowing/minisom,https://github.com/JustGlowing/minisom,CC-BY-3.0,2013-07-03 10:10:06.000,2023-11-16 10:30:26.000000,2023-11-10 07:25:13,520.0,6.0,396.0,32.0,45.0,13.0,118.0,1307.0,MiniSom is a minimalistic implementation of the Self Organizing Maps.,26.0,26,False,2023-03-02 15:10:38.000,2.3.1,24.0,minisom,,,,,501.0,480.0,https://pypi.org/project/minisom,22037.0,22037.0,,,,,,,,3.0,,2022-02-25 07:49:30.000,21.0,,,,,,,,,,,,,,,,,,, +477,PySAL,pysal/pysal,geospatial-data,,https://github.com/pysal/pysal,https://github.com/pysal/pysal,BSD-3-Clause,2013-02-19 17:27:42.000,2023-10-05 17:24:24.000000,2023-09-05 02:07:57,4200.0,2.0,285.0,84.0,638.0,14.0,607.0,1208.0,PySAL: Python Spatial Analysis Library Meta-Package.,78.0,26,True,2023-08-01 02:38:24.000,23.07,33.0,pysal,conda-forge/pysal,,,,36.0,,https://pypi.org/project/pysal,20850.0,33985.0,https://anaconda.org/conda-forge/pysal,2023-10-04 23:43:19.864,525400.0,,,,,3.0,,2023-08-01 02:39:38.000,36.0,,,,,,,,,,,,,,,,,,, +478,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,,142.0,36.0,214.0,109.0,152.0,1193.0,Real-time stream processing for python.,48.0,26,True,2022-07-27 18:09:03.803,0.6.4,17.0,streamz,conda-forge/streamz,,,,468.0,431.0,https://pypi.org/project/streamz,17509.0,27493.0,https://anaconda.org/conda-forge/streamz,2023-06-16 13:22:22.238,738872.0,,,,,3.0,,2022-07-27 18:09:03.803,37.0,,,,,,,,,,,,,,,,,,, +479,iNNvestigate,albermax/innvestigate,interpretability,,https://github.com/albermax/innvestigate,https://github.com/albermax/innvestigate,BSD-2-Clause,2017-12-13 18:11:20.000,2023-10-12 14:57:26.000000,2023-10-12 14:56:47,1107.0,5.0,238.0,39.0,67.0,54.0,205.0,1182.0,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'],112.0,110.0,https://pypi.org/project/innvestigate,625.0,630.0,,,,,,,,2.0,86.0,2023-10-12 14:55:59.000,2.0,,,,,,,,,,,,,,,,,,, +480,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 21:55:22,1142.0,2.0,236.0,62.0,245.0,22.0,345.0,931.0,Search and download Copernicus Sentinel satellite images.,43.0,26,False,2023-03-10 17:53:00.587,1.2.1,41.0,sentinelsat,conda-forge/sentinelsat,,,,548.0,509.0,https://pypi.org/project/sentinelsat,18871.0,19608.0,https://anaconda.org/conda-forge/sentinelsat,2023-06-16 19:22:55.678,27159.0,,,,,3.0,262.0,2017-03-06 02:33:09.000,39.0,,,,,,,,,,,,,,,,,,, +481,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 13:05:44.000,2023-08-25 16:48:20.000000,2023-04-19 21:43:19,547.0,,168.0,35.0,85.0,88.0,122.0,877.0,A scikit-learn based module for multi-label et. al. classification.,28.0,26,True,2018-12-10 16:24:47.000,0.2.0,6.0,scikit-multilearn,,,,['sklearn'],1344.0,1320.0,https://pypi.org/project/scikit-multilearn,57425.0,57425.0,,,,,,,,3.0,,2018-12-10 16:24:47.000,24.0,,,,,,,,,,,,,,,,,,, +482,SKLL,EducationalTestingService/skll,ml-experiments,,https://github.com/EducationalTestingService/skll,https://github.com/EducationalTestingService/skll,BSD-1-Clause,2013-08-02 14:31:46.000,2023-11-15 00:08:06.079000,2023-11-14 19:40:38,3703.0,10.0,67.0,47.0,349.0,21.0,388.0,535.0,SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.,37.0,26,False,2023-11-14 15:08:13.000,4.0.1,69.0,skll,conda-forge/skll,,,['sklearn'],58.0,40.0,https://pypi.org/project/skll,659.0,1174.0,https://anaconda.org/conda-forge/skll,2023-11-15 00:08:06.079,12380.0,,,,,3.0,13.0,2023-11-14 15:04:40.000,18.0,2.0,,,,,,,,,,,,,,,,,, +483,pyRiemann,pyRiemann/pyRiemann,ml-frameworks,,https://github.com/pyRiemann/pyRiemann,https://github.com/pyRiemann/pyRiemann,BSD-3-Clause,2015-04-19 16:01:44.000,2023-11-15 20:30:06.000000,2023-10-13 07:25:01,516.0,9.0,150.0,31.0,170.0,8.0,97.0,533.0,Machine learning for multivariate data analysis through the Riemannian geometry of symmetric or Hermitian positive..,28.0,26,True,2023-06-20 08:57:52.000,0.5,11.0,pyriemann,conda-forge/pyriemann,,https://pyriemann.readthedocs.io/en/latest/,['sklearn'],303.0,286.0,https://pypi.org/project/pyriemann,35689.0,35960.0,https://anaconda.org/conda-forge/pyriemann,2023-06-20 10:39:38.006,4608.0,,,,,3.0,,2022-07-17 13:53:18.565,17.0,,,,,,,,,,,,,,,,,,, +484,scikit-posthocs,maximtrp/scikit-posthocs,probabilistics,,https://github.com/maximtrp/scikit-posthocs,https://github.com/maximtrp/scikit-posthocs,MIT,2017-06-22 19:41:37.000,2023-11-07 12:32:53.282000,2023-11-06 16:34:31,520.0,10.0,37.0,5.0,12.0,5.0,45.0,303.0,Multiple Pairwise Comparisons (Post Hoc) Tests in Python.,13.0,26,True,2023-11-06 17:10:51.000,0.8.0,23.0,scikit-posthocs,conda-forge/scikit-posthocs,,,['sklearn'],562.0,535.0,https://pypi.org/project/scikit-posthocs,70262.0,94644.0,https://anaconda.org/conda-forge/scikit-posthocs,2023-11-07 12:32:53.282,902148.0,,,,,3.0,39.0,2023-11-06 17:10:51.000,27.0,,,,,,,,,,,,,,,,,,, +485,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 21:45:14.000,2023-11-15 15:59:47.000000,2023-10-25 22:13:52,595.0,3.0,728.0,106.0,587.0,105.0,345.0,5582.0,Code for the paper Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.,57.0,25,True,2023-03-30 16:55:07.154,0.9.4,29.0,t5,,,,['tensorflow'],2.0,,https://pypi.org/project/t5,72596.0,72596.0,,,,,,,,3.0,,2021-10-18 13:55:26.000,2.0,,,,,,,,,,,,,,,,,,, +486,AugLy,facebookresearch/AugLy,others,,https://github.com/facebookresearch/AugLy,https://github.com/facebookresearch/AugLy,MIT,2021-06-09 17:57:28.000,2023-11-09 08:24:33.000000,2023-11-08 00:58:38,213.0,5.0,286.0,64.0,179.0,19.0,54.0,4831.0,"A data augmentations library for audio, image, text, and video.",34.0,25,True,2022-03-29 11:42:50.000,1.0.0,17.0,augly,,,,,89.0,86.0,https://pypi.org/project/augly,1727.0,1727.0,,,,,,,,3.0,,2022-03-28 13:29:26.000,3.0,,,,,,,,,,,,,,,,,,, +487,Image Deduplicator,idealo/imagededup,image,,https://github.com/idealo/imagededup,https://github.com/idealo/imagededup,Apache-2.0,2019-04-05 12:10:54.000,2023-10-26 08:08:10.000000,2023-04-28 16:55:30,521.0,,427.0,60.0,89.0,28.0,88.0,4754.0,Finding duplicate images made easy!.,15.0,25,True,2023-04-28 17:26:08.000,0.3.2,8.0,imagededup,,,,['tensorflow'],68.0,68.0,https://pypi.org/project/imagededup,12949.0,12949.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +488,DALI,NVIDIA/DALI,gpu-utilities,,https://github.com/NVIDIA/DALI,https://github.com/NVIDIA/DALI,Apache-2.0,2018-06-01 22:18:01.000,2023-11-16 14:37:33.000000,2023-11-16 12:01:12,3325.0,111.0,588.0,92.0,3676.0,277.0,1239.0,4674.0,A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to..,87.0,25,True,2023-10-30 18:27:16.000,1.31.0,71.0,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +489,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,,658.0,160.0,130.0,83.0,101.0,4581.0,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'],756.0,750.0,https://pypi.org/project/lucid,733.0,733.0,,,,,,,,3.0,,2021-03-19 16:01:00.000,6.0,,,,,,,,,,,,,,,,,,, +490,TensorTrade,tensortrade-org/tensortrade,financial-data,,https://github.com/tensortrade-org/tensortrade,https://github.com/tensortrade-org/tensortrade,Apache-2.0,2019-07-30 21:28:32.000,2023-06-16 19:25:40.006000,2022-08-23 22:54:23,1046.0,,982.0,238.0,214.0,51.0,200.0,4268.0,"An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.",61.0,25,False,2021-05-10 18:04:30.000,1.0.3,27.0,tensortrade,conda-forge/tensortrade,,,,50.0,49.0,https://pypi.org/project/tensortrade,415.0,517.0,https://anaconda.org/conda-forge/tensortrade,2023-06-16 19:25:40.006,3179.0,,,,,3.0,,2021-05-10 18:00:35.000,1.0,,,,,,,,,,,,,,,,,,, +491,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,,4178.0,Python Algorithmic Trading Library.,11.0,25,True,,,8.0,pyalgotrade,,,,,196.0,175.0,https://pypi.org/project/pyalgotrade,790.0,790.0,,,,,,,,3.0,,2018-08-21 01:48:25.000,21.0,,,,,,,,,,,,,,,,,,, +492,OpenPrompt,thunlp/OpenPrompt,nlp,,https://github.com/thunlp/OpenPrompt,https://github.com/thunlp/OpenPrompt,Apache-2.0,2021-09-30 09:38:45.000,2023-05-31 10:01:38.000000,2023-05-06 14:09:10,264.0,,403.0,41.0,49.0,72.0,173.0,3891.0,An Open-Source Framework for Prompt-Learning.,22.0,25,True,2022-07-06 14:27:42.000,1.0.1,5.0,openprompt,,,,,89.0,87.0,https://pypi.org/project/openprompt,1318.0,1318.0,,,,,,,,3.0,,2022-07-06 14:27:42.000,2.0,,,,,,,,,,,,,,,,,,, +493,Chartify,spotify/chartify,data-viz,,https://github.com/spotify/chartify,https://github.com/spotify/chartify,Apache-2.0,2018-09-17 14:12:05.000,2023-10-12 09:43:46.000000,2023-10-12 08:57:51,209.0,2.0,309.0,85.0,92.0,48.0,32.0,3402.0,Python library that makes it easy for data scientists to create charts.,25.0,25,True,2023-10-12 09:02:25.000,4.0.5,25.0,chartify,conda-forge/chartify,,,,83.0,73.0,https://pypi.org/project/chartify,3350.0,3833.0,https://anaconda.org/conda-forge/chartify,2023-06-16 16:11:58.064,29037.0,,,,,3.0,,2023-10-12 09:02:25.000,10.0,,,,,,,,,,,,,,,,,,, +494,PyTorch-BigGraph,facebookresearch/PyTorch-BigGraph,graph,,https://github.com/facebookresearch/PyTorch-BigGraph,https://github.com/facebookresearch/PyTorch-BigGraph,BSD-3-Clause,2018-10-01 20:41:16.000,2023-11-06 16:44:05.000000,2023-11-06 16:37:37,171.0,4.0,432.0,91.0,78.0,57.0,137.0,3306.0,Generate embeddings from large-scale graph-structured data.,31.0,25,True,2019-10-14 16:45:11.000,1.0.0,3.0,torchbiggraph,,,,['pytorch'],3.0,,https://pypi.org/project/torchbiggraph,312460.0,312462.0,,,,,,,,2.0,163.0,2019-05-01 21:31:13.000,3.0,,,,,,,,,,,,,,,,,,, +495,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,,811.0,62.0,629.0,105.0,396.0,3096.0,A high-performance distributed training framework for Reinforcement Learning.,42.0,25,True,2023-03-14 02:03:08.557,2.2.1,29.0,parl,,,,['paddle'],120.0,119.0,https://pypi.org/project/parl,614.0,614.0,,,,,,,,3.0,,2022-05-13 04:46:41.000,1.0,,,,,,,,,,,,,,,,,,, +496,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,,528.0,110.0,73.0,193.0,115.0,3074.0,"High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization..",30.0,25,False,2019-04-25 02:10:05.000,0.4.4,15.0,xlearn,,,,,135.0,123.0,https://pypi.org/project/xlearn,2326.0,2389.0,,,,,,,,3.0,4300.0,2018-12-04 11:05:06.000,12.0,,,,,,,,,,,,,,,,,,, +497,Towhee,towhee-io/towhee,ml-frameworks,,https://github.com/towhee-io/towhee,https://github.com/towhee-io/towhee,Apache-2.0,2021-07-13 08:28:50.000,2023-11-08 00:01:15.000000,2023-11-08 00:01:14,1570.0,6.0,241.0,48.0,2006.0,11.0,639.0,2825.0,Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.,33.0,25,True,2023-09-15 03:06:04.000,1.1.2,25.0,towhee,,,,,,,https://pypi.org/project/towhee,4610.0,4721.0,,,,,,,,3.0,2571.0,2023-09-14 07:31:36.000,,,,,,,,,,,,,,,,,,,, +498,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,,469.0,100.0,49.0,59.0,253.0,2761.0,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,,,,693.0,670.0,https://pypi.org/project/neuralcoref,3053.0,3393.0,https://anaconda.org/conda-forge/neuralcoref,2023-06-16 19:17:56.088,14879.0,,,,,3.0,813.0,2019-04-08 09:56:00.000,23.0,,,,,,,,,,,,,,,,,,, +499,Mars,mars-project/mars,others,,https://github.com/mars-project/mars,https://github.com/mars-project/mars,Apache-2.0,2018-12-05 16:04:03.000,2023-11-02 03:31:23.000000,2023-11-02 03:13:52,1297.0,3.0,313.0,93.0,2156.0,206.0,982.0,2656.0,"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,44741.0,44741.0,,,,,,,,3.0,,2022-06-12 11:43:21.000,1.0,,,,,,,,,,,,,,,,,,, +500,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,,217.0,66.0,42.0,17.0,23.0,2655.0,Knock Knock: Get notified when your training ends with only two additional lines of code.,20.0,25,False,2020-03-04 04:15:47.000,0.1.8,10.0,knockknock,conda-forge/knockknock,,,,818.0,813.0,https://pypi.org/project/knockknock,82608.0,82894.0,https://anaconda.org/conda-forge/knockknock,2023-06-16 16:18:44.705,14038.0,,,,,3.0,,2020-03-16 14:30:23.000,5.0,,,,,,,,,,,,,,,,,,, +501,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,,216.0,48.0,481.0,45.0,70.0,2648.0,"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,,,,,181.0,178.0,https://pypi.org/project/m2cgen,22159.0,22159.0,,,,,,,,3.0,54.0,2022-04-26 01:24:34.000,3.0,,,,,,,,,,,,,,,,,,, +502,HiPlot,facebookresearch/hiplot,data-viz,,https://github.com/facebookresearch/hiplot,https://github.com/facebookresearch/hiplot,MIT,2019-11-08 13:06:41.000,2023-10-18 12:30:19.000000,2023-07-19 07:40:10,212.0,,129.0,30.0,198.0,19.0,73.0,2593.0,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,,,,360.0,345.0,https://pypi.org/project/hiplot,24242.0,27994.0,https://anaconda.org/conda-forge/hiplot,2023-06-16 19:18:10.488,168865.0,,,,,3.0,,2022-07-05 08:51:12.000,15.0,,,,,,,,,,,,,,,,,,, +503,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,,707.0,167.0,94.0,134.0,358.0,2445.0,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,92.0,92.0,,,,,,,,3.0,,2018-11-11 16:46:28.000,2.0,,,,,,,,,,,,,,,,,,, +504,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 01:11:33.000,2023-11-01 16:09:35.000000,2023-07-01 21:40:58,1936.0,,317.0,39.0,84.0,16.0,157.0,2305.0,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'],4.0,,https://pypi.org/project/torch-geometric-temporal,2433.0,2433.0,,,,,,,,2.0,,2022-09-04 16:10:00.738,4.0,,,,,,,,,,,,,,,,,,, +505,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,,604.0,91.0,29.0,23.0,51.0,2300.0,This library provides common speech features for ASR including MFCCs and filterbank energies.,19.0,25,False,2020-01-14 14:12:10.000,0.6.1,6.0,python_speech_features,,,,,630.0,451.0,https://pypi.org/project/python_speech_features,162792.0,162792.0,,,,,,,,3.0,,2017-08-16 01:46:13.000,179.0,,,,,,,,,,,,,,,,,,, +506,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 17:59:40,755.0,2.0,294.0,29.0,695.0,49.0,149.0,2214.0,"Toolkit for creating, sharing and using natural language prompts.",65.0,25,True,2022-07-02 17:57:17.000,0.2.3,5.0,promptsource,,,,,70.0,69.0,https://pypi.org/project/promptsource,2742.0,2742.0,,,,,,,,3.0,,2022-04-18 22:31:03.000,1.0,,,,,,,,,,,,,,,,,,, +507,Norfair,tryolabs/norfair,image,,https://github.com/tryolabs/norfair,https://github.com/tryolabs/norfair,BSD-3-Clause,2020-07-01 20:15:44.000,2023-10-15 09:57:16.000000,2023-05-15 21:21:45,660.0,,219.0,39.0,136.0,6.0,129.0,2190.0,Lightweight Python library for adding real-time multi-object tracking to any detector.,24.0,25,True,2023-01-04 21:42:02.301,2.2.0,19.0,norfair,,,,,140.0,137.0,https://pypi.org/project/norfair,5848.0,5855.0,,,,,,,,3.0,294.0,2022-05-30 21:14:58.000,3.0,,,,,,,,,,,,,,,,,,, +508,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,,238.0,72.0,21.0,92.0,66.0,2064.0,Open source time series library for Python.,6.0,25,False,2017-11-21 16:27:06.000,0.4.16,35.0,pyflux,,,,,270.0,254.0,https://pypi.org/project/pyflux,27767.0,27767.0,,,,,,,,3.0,,2017-11-21 16:27:06.000,16.0,,,,,,,,,,,,,,,,,,, +509,efficientnet,qubvel/efficientnet,tensorflow-utils,,https://github.com/qubvel/efficientnet,https://github.com/qubvel/efficientnet,Apache-2.0,2019-05-30 20:21:09.000,2023-06-16 19:23:39.686000,2021-07-16 09:03:20,66.0,,463.0,38.0,42.0,64.0,58.0,2039.0,Implementation of EfficientNet model. Keras and TensorFlow Keras.,10.0,25,False,2020-09-15 16:26:00.000,1.1.1,9.0,efficientnet,anaconda/efficientnet,,,['tensorflow'],1830.0,1816.0,https://pypi.org/project/efficientnet,52515.0,57195.0,https://anaconda.org/anaconda/efficientnet,2023-06-16 19:23:39.686,465.0,,,,,3.0,252090.0,2020-09-15 16:26:00.000,14.0,,,,,,,,,,,,,,,,,,, +510,AmpliGraph,Accenture/AmpliGraph,graph,,https://github.com/Accenture/AmpliGraph,https://github.com/Accenture/AmpliGraph,Apache-2.0,2019-01-09 14:52:05.000,2023-07-12 18:18:40.000000,2023-07-12 18:14:01,1515.0,,237.0,67.0,58.0,31.0,185.0,2013.0,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'],45.0,45.0,https://pypi.org/project/ampligraph,666.0,666.0,,,,,,,,2.0,,2021-05-25 16:47:29.000,,,,,,,,,,,,,,,,,,,, +511,checklist,marcotcr/checklist,interpretability,,https://github.com/marcotcr/checklist,https://github.com/marcotcr/checklist,MIT,2020-03-09 17:18:49.000,2023-10-27 06:59:13.000000,2023-09-26 17:27:56,255.0,3.0,192.0,29.0,64.0,35.0,83.0,1957.0,Beyond Accuracy: Behavioral Testing of NLP models with CheckList.,15.0,25,True,2021-05-24 16:45:59.000,0.0.11,10.0,checklist,conda-forge/checklist,,,['jupyter'],299.0,292.0,https://pypi.org/project/checklist,4590.0,4783.0,https://anaconda.org/conda-forge/checklist,2023-06-16 19:24:18.549,6591.0,,,,,3.0,,2021-05-24 16:45:59.000,7.0,,,,,,,,,,,,,,,,,,, +512,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 05:46:52.000,2023-10-11 19:12:48.654000,2023-05-26 18:23:37,117.0,,228.0,44.0,36.0,45.0,21.0,1819.0,Parallel t-SNE implementation with Python and Torch wrappers.,17.0,25,True,2017-11-08 13:32:20.000,0.0.1,3.0,MulticoreTSNE,conda-forge/multicore-tsne,,,['pytorch'],431.0,409.0,https://pypi.org/project/MulticoreTSNE,22723.0,23697.0,https://anaconda.org/conda-forge/multicore-tsne,2023-10-11 19:12:48.654,30210.0,,,,,3.0,,2019-01-09 07:23:04.000,22.0,,,,,,,,,,,,,,,,,,, +513,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,,160.0,61.0,66.0,65.0,129.0,1789.0,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,,,,,343.0,333.0,https://pypi.org/project/hypertools,616.0,616.0,,,,,,,,3.0,30.0,2022-02-12 02:43:24.000,10.0,,,,,,,,,,,,,,,,,,, +514,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,,296.0,56.0,1313.0,233.0,810.0,1745.0,A toolkit for reproducible reinforcement learning research.,79.0,25,True,2021-03-23 22:18:36.000,2021.3.0,21.0,garage,,,,['tensorflow'],92.0,90.0,https://pypi.org/project/garage,662.0,662.0,,,,,,,,3.0,,2021-03-23 22:18:36.000,2.0,,,,,,,,,,,,,,,,,,, +515,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 13:50:19.000,2023-10-08 20:12:03.000000,2023-10-08 20:12:02,569.0,8.0,113.0,52.0,441.0,60.0,102.0,1700.0,Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.,28.0,25,True,2023-08-31 20:07:52.000,1.1.10,27.0,hivemind,,,,,79.0,73.0,https://pypi.org/project/hivemind,3148.0,3148.0,,,,,,,,3.0,,2023-08-31 20:07:10.000,6.0,,,,,,,,,,,,,,,,,,, +516,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,,238.0,50.0,48.0,22.0,91.0,1546.0,Contextually-keyed word vectors.,19.0,25,True,2023-04-17 14:14:02.218,2.0.2,24.0,sense2vec,conda-forge/sense2vec,,,,313.0,300.0,https://pypi.org/project/sense2vec,2019.0,4170.0,https://anaconda.org/conda-forge/sense2vec,2023-09-22 07:25:32.800,35193.0,,,,,3.0,59972.0,2021-04-19 07:05:28.000,13.0,,,,,,,,,,,,,,,,,,, +517,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,,1526.0,Feature engineering package with sklearn like functionality.,38.0,25,True,2023-09-18 14:50:58.000,1.6.2,38.0,feature_engine,conda-forge/feature_engine,,,,86.0,,https://pypi.org/project/feature_engine,128261.0,129341.0,https://anaconda.org/conda-forge/feature_engine,2023-09-19 07:41:06.631,42155.0,,,,,3.0,,2023-09-18 14:50:58.000,86.0,,,,,,,,,,,,,,,,,,, +518,Pytorch Toolbelt,BloodAxe/pytorch-toolbelt,pytorch-utils,,https://github.com/BloodAxe/pytorch-toolbelt,https://github.com/BloodAxe/pytorch-toolbelt,MIT,2019-03-15 16:02:49.000,2023-11-03 15:04:58.000000,2023-11-03 16:06:14,1169.0,11.0,117.0,29.0,68.0,1.0,29.0,1447.0,PyTorch extensions for fast R&D prototyping and Kaggle farming.,7.0,25,True,2023-08-19 14:26:10.000,0.7.0,29.0,pytorch_toolbelt,,,,['pytorch'],7.0,,https://pypi.org/project/pytorch_toolbelt,11283.0,11283.0,,,,,,,,2.0,7.0,2022-06-27 19:59:57.000,7.0,,,,,,,,,,,,,,,,,,, +519,gplearn,trevorstephens/gplearn,others,,https://github.com/trevorstephens/gplearn,https://github.com/trevorstephens/gplearn,BSD-3-Clause,2015-03-26 01:01:14.000,2023-08-12 06:34:31.000000,2023-08-12 06:34:27,161.0,,254.0,50.0,86.0,21.0,188.0,1434.0,"Genetic Programming in Python, with a scikit-learn inspired API.",11.0,25,True,2022-05-03 10:56:08.000,0.4.2,7.0,gplearn,conda-forge/gplearn,,,['sklearn'],478.0,463.0,https://pypi.org/project/gplearn,6672.0,6825.0,https://anaconda.org/conda-forge/gplearn,2023-06-16 19:20:25.471,6286.0,,,,,3.0,,2022-05-03 10:47:30.000,15.0,,,,,,,,,,,,,,,,,,, +520,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 14:21:42,580.0,1.0,302.0,53.0,115.0,54.0,29.0,1429.0,Interpretability and explainability of data and machine learning models.,41.0,25,True,2023-07-31 18:54:38.000,0.3.0,5.0,aix360,,,,,87.0,86.0,https://pypi.org/project/aix360,1386.0,1386.0,,,,,,,,3.0,,2023-07-31 18:54:38.000,1.0,,,,,,,,,,,,,,,,,,, +521,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,,141.0,29.0,63.0,7.0,70.0,1265.0,"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'],1277.0,1264.0,https://pypi.org/project/livelossplot,19655.0,19655.0,,,,,,,,3.0,,2022-04-04 16:14:08.000,13.0,,,,,,,,,,,,,,,,,,, +522,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 15:14:33,667.0,1.0,157.0,47.0,161.0,20.0,376.0,1261.0,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,,,,141.0,135.0,https://pypi.org/project/dalex,19452.0,19777.0,https://anaconda.org/conda-forge/dalex,2023-06-16 19:24:13.607,11080.0,,,,,3.0,,2022-09-07 14:45:39.364,6.0,,,,,,,,,,,,,,,,,,, +523,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,,201.0,54.0,460.0,142.0,291.0,1166.0,A Framework for Encrypted Machine Learning in TensorFlow.,29.0,25,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,587.0,587.0,,,,,,,,3.0,,2022-11-16 09:12:55.841,9.0,,,,,,,,,,,,,,,,,,, +524,RLax,deepmind/rlax,reinforcement-learning,,https://github.com/google-deepmind/rlax,https://github.com/google-deepmind/rlax,Apache-2.0,2020-02-18 07:14:59.000,2023-11-01 13:47:32.000000,2023-10-17 16:27:51,207.0,1.0,82.0,33.0,108.0,12.0,18.0,1115.0,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'],180.0,178.0,https://pypi.org/project/rlax,406375.0,406375.0,,,,,,,,3.0,,2023-01-09 22:29:35.947,2.0,,,,,,,,google-deepmind/rlax,,,,,,,,,,, +525,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 15:32:36,567.0,1.0,191.0,49.0,61.0,1.0,68.0,972.0,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'],397.0,394.0,https://pypi.org/project/neural-structured-learning,14381.0,14381.0,,,,,,,,3.0,,2022-07-29 21:05:16.715,3.0,,,,,,,,,,,,,,,,,,, +526,hls4ml,fastmachinelearning/hls4ml,model-serialisation,,https://github.com/fastmachinelearning/hls4ml,https://github.com/fastmachinelearning/hls4ml,Apache-2.0,2017-10-25 21:43:56.000,2023-11-16 05:53:37.000000,2023-11-16 05:51:51,1804.0,81.0,360.0,56.0,455.0,160.0,248.0,958.0,Machine learning on FPGAs using HLS.,56.0,25,True,2023-11-16 00:11:22.000,0.8.0,15.0,hls4ml,conda-forge/hls4ml,,,"['tensorflow', 'pytorch']",,,https://pypi.org/project/hls4ml,628.0,812.0,https://anaconda.org/conda-forge/hls4ml,2023-06-16 19:22:51.232,7020.0,,,,,3.0,,2023-11-16 00:11:22.000,,,,,,,,,,,,,,,,,,,, +527,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,,252.0,42.0,72.0,103.0,188.0,898.0,Gaussian Process Optimization using GPy.,49.0,25,True,2020-03-19 21:21:18.000,1.2.6,11.0,gpyopt,,,,,505.0,467.0,https://pypi.org/project/gpyopt,7343.0,7343.0,,,,,,,,2.0,,2020-03-19 11:37:45.000,38.0,,,,,,,,,,,,,,,,,,, +528,PyTorch Sparse,rusty1s/pytorch_sparse,pytorch-utils,,https://github.com/rusty1s/pytorch_sparse,https://github.com/rusty1s/pytorch_sparse,MIT,2018-07-28 18:46:53.000,2023-11-09 15:26:23.000000,2023-11-09 15:26:22,727.0,3.0,143.0,15.0,100.0,26.0,227.0,891.0,PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations.,44.0,25,True,2023-10-06 08:51:55.000,0.6.18,31.0,torch-sparse,conda-forge/pytorch_sparse,,,['pytorch'],73.0,,https://pypi.org/project/torch-sparse,27572.0,33352.0,https://anaconda.org/conda-forge/pytorch_sparse,2023-06-16 19:19:31.218,237007.0,,,,,2.0,,2023-10-06 08:51:55.000,73.0,,,,,,,,,,,,,,,,,,, +529,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 10:51:56.000,2023-11-16 13:16:41.000000,2023-11-08 09:57:31,761.0,8.0,54.0,13.0,119.0,39.0,102.0,845.0,Visualize large time series data with plotly.py.,11.0,25,True,2023-07-13 11:26:44.000,0.9.1,19.0,plotly-resampler,conda-forge/plotly-resampler,,,,691.0,691.0,https://pypi.org/project/plotly-resampler,349043.0,350465.0,https://anaconda.org/conda-forge/plotly-resampler,2023-08-11 13:55:21.400,31293.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +530,Baal,baal-org/baal,probabilistics,,https://github.com/baal-org/baal,https://github.com/baal-org/baal,Apache-2.0,2019-09-30 20:16:26.000,2023-11-04 17:13:06.000000,2023-11-04 17:13:05,221.0,12.0,80.0,21.0,152.0,24.0,82.0,802.0,Library to enable Bayesian active learning in your research or labeling work.,21.0,25,True,2023-10-02 19:58:51.000,1.9.1,19.0,baal,conda-forge/baal,,,,53.0,52.0,https://pypi.org/project/baal,1753.0,1971.0,https://anaconda.org/conda-forge/baal,2023-06-12 15:14:19.747,7426.0,,,,,3.0,,2023-10-02 19:57:48.000,1.0,,,,,,,,,,,,,,,,,,, +531,TSFEL,fraunhoferportugal/tsfel,time-series-data,,https://github.com/fraunhoferportugal/tsfel,https://github.com/fraunhoferportugal/tsfel,BSD-3-Clause,2019-01-09 16:41:30.000,2023-11-14 14:45:55.000000,2023-10-25 13:56:50,307.0,11.0,129.0,21.0,72.0,5.0,63.0,752.0,An intuitive library to extract features from time series.,18.0,25,True,2023-08-23 07:53:53.000,0.1.6,10.0,tsfel,,,,,99.0,99.0,https://pypi.org/project/tsfel,21675.0,21675.0,,,,,,,,3.0,,2023-08-22 10:46:05.000,,,,,,,,,,,,,,,,,,,, +532,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 18:44:18,355.0,13.0,116.0,19.0,78.0,23.0,33.0,653.0,Working with molecular structures in pandas DataFrames.,15.0,25,True,2023-08-28 15:31:05.000,0.5.1de,19.0,biopandas,conda-forge/biopandas,,,['pandas'],235.0,212.0,https://pypi.org/project/biopandas,90785.0,92554.0,https://anaconda.org/conda-forge/biopandas,2023-06-16 13:21:19.340,146889.0,,,,,3.0,,2023-08-28 15:32:25.000,23.0,,,,,,,,BioPandas/biopandas,,,,,,,,,,, +533,tinytag,devsnd/tinytag,audio,,https://github.com/devsnd/tinytag,https://github.com/devsnd/tinytag,MIT,2014-01-27 15:27:01.000,2023-10-26 19:30:36.000000,2023-10-26 19:25:33,460.0,9.0,99.0,23.0,85.0,13.0,94.0,633.0,"Read audio and music meta data and duration of MP3, OGG, OPUS, MP4, M4A, FLAC, WMA, Wave and AIFF files with python 2..",26.0,25,True,2023-10-26 19:30:36.000,1.10.1,40.0,tinytag,,,,,111.0,,https://pypi.org/project/tinytag,23967.0,23967.0,,,,,,,,3.0,,2023-10-26 19:30:36.000,111.0,,,,,,,,,,,,,,,,,,, +534,whoosh,mchaput/whoosh,nlp,,https://github.com/mchaput/whoosh,https://github.com/mchaput/whoosh,BSD-1-Clause,2015-04-17 19:34:47.000,2023-09-23 13:28:08.196000,2022-01-15 18:08:37,1718.0,,55.0,13.0,11.0,31.0,6.0,476.0,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,,,,3693.0,,https://pypi.org/project/whoosh,312619.0,319823.0,https://anaconda.org/conda-forge/whoosh,2023-09-23 13:28:08.196,216124.0,,,,,3.0,,2016-04-04 01:19:40.000,3693.0,,,,,,,,,,,,,,,,,,, +535,EarthPy,earthlab/earthpy,geospatial-data,,https://github.com/earthlab/earthpy,https://github.com/earthlab/earthpy,BSD-3-Clause,2018-02-20 03:02:42.000,2023-11-07 02:55:32.000000,2023-08-23 17:20:54,1241.0,1.0,150.0,19.0,684.0,25.0,208.0,466.0,A package built to support working with spatial data using open source python.,44.0,25,True,2021-10-01 22:51:04.000,0.9.4,23.0,earthpy,conda-forge/earthpy,,,,274.0,257.0,https://pypi.org/project/earthpy,4961.0,6239.0,https://anaconda.org/conda-forge/earthpy,2023-06-16 16:14:50.280,70329.0,,,,,3.0,,2021-10-01 22:51:04.000,17.0,,,,,,,,,,,,,,,,,,, +536,gokart,m3dev/gokart,ml-experiments,,https://github.com/m3dev/gokart,https://github.com/m3dev/gokart,MIT,2018-12-23 07:40:27.000,2023-11-10 00:08:46.000000,2023-11-10 00:08:45,513.0,10.0,54.0,40.0,260.0,17.0,59.0,293.0,"Gokart solves reproducibility, task dependencies, constraints of good code, and ease of use for Machine Learning..",37.0,25,False,2023-10-26 01:38:28.000,1.2.4,71.0,gokart,,,,,79.0,74.0,https://pypi.org/project/gokart,5367.0,5367.0,,,,,,,,3.0,,2023-10-26 01:38:28.000,5.0,,,,,,,,,,,,,,,,,,, +537,PyStan,stan-dev/pystan,probabilistics,,https://github.com/stan-dev/pystan,https://github.com/stan-dev/pystan,ISC,2017-03-06 19:56:42.094,2023-10-05 14:57:15.000000,2023-10-05 14:57:15,219.0,2.0,53.0,14.0,196.0,12.0,184.0,287.0,"PyStan, a Python interface to Stan, a platform for statistical modeling. Documentation: https://pystan.readthedocs.io.",13.0,25,False,2023-04-23 19:42:01.507,3.7.0,69.0,pystan,conda-forge/pystan,,,,259.0,,https://pypi.org/project/pystan,1579368.0,1614093.0,https://anaconda.org/conda-forge/pystan,2023-06-16 13:14:39.735,2778067.0,,,,,3.0,,2023-04-23 19:42:01.507,259.0,,,,,,,,,,,,,,,,,,, +538,MMF,facebookresearch/mmf,image,,https://github.com/facebookresearch/mmf,https://github.com/facebookresearch/mmf,BSD-3-Clause,2018-06-27 04:52:40.000,2023-10-31 20:58:20.000000,2023-10-31 20:52:37,1093.0,3.0,879.0,117.0,674.0,108.0,541.0,5336.0,A modular framework for vision & language multimodal research from Facebook AI Research (FAIR).,115.0,24,True,2019-08-26 19:04:21.000,0.3.1,2.0,mmf,,,,['pytorch'],14.0,14.0,https://pypi.org/project/mmf,197.0,197.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +539,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,,749.0,138.0,43.0,141.0,98.0,4924.0,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'],1118.0,1102.0,https://pypi.org/project/textgenrnn,899.0,912.0,,,,,,,,3.0,885.0,2020-02-02 21:16:15.000,16.0,,,,,,,,,,,,,,,,,,, +540,scikit-opt,guofei9987/scikit-opt,sklearn-utils,,https://github.com/guofei9987/scikit-opt,https://github.com/guofei9987/scikit-opt,MIT,2017-12-05 10:20:41.000,2023-10-24 08:51:14.000000,2023-02-19 16:29:00,327.0,,912.0,46.0,30.0,63.0,111.0,4553.0,"Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune..",17.0,24,True,2022-01-14 08:49:08.000,0.6.6,23.0,scikit-opt,,,,['sklearn'],168.0,160.0,https://pypi.org/project/scikit-opt,3873.0,3873.0,,,,,,,,3.0,,2022-01-14 08:49:08.000,8.0,,,,,,,,,,,,,,,,,,, +541,segmentation_models,qubvel/segmentation_models,image,,https://github.com/qubvel/segmentation_models,https://github.com/qubvel/segmentation_models,MIT,2018-06-05 13:27:56.000,2023-08-31 07:24:48.000000,2022-07-29 10:37:24,205.0,,987.0,94.0,62.0,246.0,269.0,4479.0,Segmentation models with pretrained backbones. Keras and TensorFlow Keras.,14.0,24,False,2020-01-10 11:36:02.000,1.0.1,8.0,segmentation_models,,,,['tensorflow'],28.0,,https://pypi.org/project/segmentation_models,18508.0,18508.0,,,,,,,,3.0,,2020-01-10 11:36:02.000,28.0,,,,,,,,,,,,,,,,,,, +542,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,,713.0,66.0,247.0,124.0,822.0,3929.0,"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,5270.0,5270.0,,,,,,,,3.0,,2021-04-06 12:38:10.521,35.0,,,,,,,,,,,,,,,,,,, +543,AdaNet,tensorflow/adanet,hyperopt,,https://github.com/tensorflow/adanet,https://github.com/tensorflow/adanet,Apache-2.0,2018-06-28 20:20:24.000,2021-08-30 19:33:24.000000,2021-08-30 19:33:24,440.0,,529.0,175.0,49.0,64.0,49.0,3472.0,Fast and flexible AutoML with learning guarantees.,27.0,24,False,2020-07-09 21:03:28.000,0.9.0,13.0,adanet,,,,['tensorflow'],57.0,54.0,https://pypi.org/project/adanet,149.0,149.0,,,,,,,,2.0,,2020-07-09 21:03:28.000,3.0,,,,,,,,,,,,,,,,,,, +544,ReAgent,facebookresearch/ReAgent,reinforcement-learning,,https://github.com/facebookresearch/ReAgent,https://github.com/facebookresearch/ReAgent,BSD-3-Clause,2017-07-27 17:53:21.000,2023-11-07 18:49:44.000000,2023-11-07 18:44:28,1579.0,11.0,498.0,152.0,609.0,69.0,75.0,3465.0,"A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.).",162.0,24,True,2020-01-27 22:06:00.000,0.0.0,2.0,reagent,,,,['pytorch'],,,https://pypi.org/project/reagent,23.0,23.0,,,,,,,,3.0,,2020-05-27 20:58:01.000,,,,,,,,,,,,,,,,,,,, +545,PandasGUI,adamerose/pandasgui,data-viz,,https://github.com/adamerose/PandasGUI,https://github.com/adamerose/PandasGUI,MIT-0,2019-06-12 02:19:42.000,2023-10-02 18:04:41.000000,2022-03-16 17:52:29,715.0,,217.0,55.0,34.0,69.0,120.0,3058.0,A GUI for Pandas DataFrames.,13.0,24,False,2023-02-11 20:04:00.783,0.2.14,44.0,pandasgui,conda-forge/pandasgui,,,['pandas'],310.0,305.0,https://pypi.org/project/pandasgui,3344.0,3945.0,https://anaconda.org/conda-forge/pandasgui,2023-06-16 19:24:31.206,20459.0,,,,,3.0,,2021-08-14 09:14:51.000,5.0,,,,,,,,,,,,,,,,,,, +546,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,,679.0,72.0,25.0,117.0,101.0,2972.0,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'],2871.0,2842.0,https://pypi.org/project/keras-vis,967.0,967.0,,,,,,,,3.0,,2017-04-02 03:54:58.000,29.0,,,,,,,,,,,,,,,,,,, +547,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,,304.0,67.0,315.0,41.0,123.0,2650.0,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'],48.0,47.0,https://pypi.org/project/ddsp,2094.0,2448.0,https://anaconda.org/conda-forge/ddsp,2023-06-16 19:19:34.916,14516.0,,,,,3.0,,2022-05-25 17:42:19.000,1.0,,,,,,,,,,,,,,,,,,, +548,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,,257.0,58.0,56.0,19.0,50.0,2196.0,Basic Utilities for PyTorch Natural Language Processing (NLP).,18.0,24,True,2019-11-04 05:16:00.000,0.5.0,19.0,pytorch-nlp,,,,['pytorch'],616.0,597.0,https://pypi.org/project/pytorch-nlp,5338.0,5338.0,,,,,,,,3.0,,2019-11-04 04:35:18.000,19.0,,,,,,,,,,,,,,,,,,, +549,langid,saffsd/langid.py,nlp,,https://github.com/saffsd/langid.py,https://github.com/saffsd/langid.py,,2011-04-29 00:16:56.000,2020-01-01 10:49:30.000000,2017-07-15 02:49:17,242.0,,294.0,66.0,14.0,26.0,46.0,2173.0,Stand-alone language identification system.,9.0,24,False,,,,langid,,,,,8240.0,8240.0,https://pypi.org/project/langid,325723.0,325723.0,,,,,,,,3.0,,,,-4.0,,,,,,,,,,,,,,,,,, +550,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 06:09:05,385.0,1.0,278.0,57.0,14.0,21.0,78.0,2164.0,Beautiful visualizations of how language differs among document types.,14.0,24,True,2017-03-13 05:31:21.000,0.0.2.4.4,18.0,scattertext,conda-forge/scattertext,,,,444.0,444.0,https://pypi.org/project/scattertext,10630.0,11764.0,https://anaconda.org/conda-forge/scattertext,2023-06-16 13:23:09.869,85084.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +551,kubric,google-research/kubric,image,,https://github.com/google-research/kubric,https://github.com/google-research/kubric,Apache-2.0,2020-07-22 19:56:38.000,2023-11-16 00:46:02.000000,2023-10-16 16:49:59,532.0,9.0,186.0,40.0,114.0,60.0,125.0,2034.0,A data generation pipeline for creating semi-realistic synthetic multi-object videos with rich annotations such as..,25.0,24,True,2023-11-16 00:46:02.000,2023.11.16,732.0,kubric-nightly,,,,,3.0,3.0,https://pypi.org/project/kubric-nightly,2810.0,2810.0,,,,,,,,3.0,,2023-11-16 00:46:02.000,,,,,,,,,,,,,,,,,,,, +552,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,,229.0,38.0,37.0,8.0,109.0,2006.0,Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020).,17.0,24,False,2022-12-04 19:04:05.000,_10304,107.0,karateclub,conda-forge/karateclub,,,,209.0,205.0,https://pypi.org/project/karateclub,3021.0,3558.0,https://anaconda.org/conda-forge/karateclub,2023-06-16 19:21:04.092,21497.0,,,,,2.0,,2022-10-22 16:17:27.886,4.0,,,,,,,,,,,,,,,,,,, +553,Talos,autonomio/talos,hyperopt,,https://github.com/autonomio/talos,https://github.com/autonomio/talos,MIT,2018-05-04 20:36:41.000,2022-09-18 16:01:21.000000,2022-09-18 16:01:20,637.0,,268.0,28.0,182.0,9.0,389.0,1597.0,"Hyperparameter Optimization for TensorFlow, Keras and PyTorch.",22.0,24,False,2022-05-28 10:07:13.000,1.3,17.0,talos,,,,['tensorflow'],174.0,167.0,https://pypi.org/project/talos,1113.0,1113.0,,,,,,,,2.0,,2022-05-28 10:07:34.000,7.0,,,,,,,,,,,,,,,,,,, +554,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,,406.0,91.0,165.0,103.0,224.0,1348.0,[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,114.0,114.0,,,,,,,,3.0,,2019-10-10 10:59:33.000,1.0,,,,,,,,,,,,,,,,,,, +555,openTSNE,pavlin-policar/openTSNE,data-viz,,https://github.com/pavlin-policar/openTSNE,https://github.com/pavlin-policar/openTSNE,BSD-3-Clause,2018-06-08 18:42:09.000,2023-08-21 19:22:07.000000,2023-08-21 19:22:07,680.0,9.0,147.0,24.0,123.0,2.0,128.0,1282.0,"Extensible, parallel implementations of t-SNE.",11.0,24,True,2023-05-24 15:25:03.278,1.0.0,26.0,opentsne,conda-forge/opentsne,,,,702.0,687.0,https://pypi.org/project/opentsne,23536.0,27409.0,https://anaconda.org/conda-forge/opentsne,2023-06-16 16:12:36.657,228544.0,,,,,3.0,,2022-03-18 13:53:43.000,15.0,,,,,,,,,,,,,,,,,,, +556,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 16:35:34.000000,2023-11-06 15:20:05,206.0,2.0,304.0,49.0,43.0,95.0,112.0,1269.0,A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model.,18.0,24,True,2020-09-13 21:05:45.000,0.8.4,1.0,keras-ocr,anaconda/keras-ocr,,,['tensorflow'],352.0,352.0,https://pypi.org/project/keras-ocr,12312.0,30708.0,https://anaconda.org/anaconda/keras-ocr,2023-06-16 19:23:39.693,295.0,,,,,3.0,698758.0,,,-2.0,,,,,,,,,,,,,,,,,, +557,DiCE,interpretml/DiCE,interpretability,,https://github.com/interpretml/DiCE,https://github.com/interpretml/DiCE,MIT,2019-05-02 09:51:02.000,2023-11-06 18:53:49.000000,2023-11-03 20:15:27,769.0,82.0,172.0,18.0,254.0,70.0,93.0,1181.0,Generate Diverse Counterfactual Explanations for any machine learning model.,19.0,24,True,2023-10-26 11:36:48.000,0.11,12.0,dice-ml,,,,"['tensorflow', 'pytorch']",6.0,,https://pypi.org/project/dice-ml,46448.0,46448.0,,,,,,,,3.0,,2023-10-27 03:54:06.000,6.0,,,,,,,,,,,,,,,,,,, +558,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,,224.0,73.0,415.0,75.0,147.0,1133.0,ChainerRL is a deep reinforcement learning library built on top of Chainer.,29.0,24,False,2020-02-14 05:35:56.000,0.8.0,10.0,chainerrl,,,,,166.0,156.0,https://pypi.org/project/chainerrl,533.0,533.0,,,,,,,,3.0,,2020-02-14 05:35:56.000,10.0,,,,,,,,,,,,,,,,,,, +559,keract,philipperemy/keract,interpretability,,https://github.com/philipperemy/keract,https://github.com/philipperemy/keract,MIT,2017-05-17 04:50:57.000,2023-09-30 06:19:56.000000,2023-09-30 06:19:56,409.0,4.0,184.0,34.0,72.0,3.0,86.0,1030.0,Layers Outputs and Gradients in Keras. Made easy.,16.0,24,True,2022-09-25 14:40:40.377,4.5.1,39.0,keract,,,,['tensorflow'],202.0,193.0,https://pypi.org/project/keract,5755.0,5755.0,,,,,,,,3.0,,2022-09-25 14:40:40.377,9.0,,,,,,,,,,,,,,,,,,, +560,GPUtil,anderskm/gputil,gpu-utilities,,https://github.com/anderskm/gputil,https://github.com/anderskm/gputil,MIT,2017-01-16 11:57:43.000,2023-10-28 20:30:12.000000,2019-08-16 09:00:15,140.0,,105.0,12.0,19.0,15.0,15.0,1011.0,A Python module for getting the GPU status from NVIDA GPUs using nvidia-smi programmically in Python.,13.0,24,False,2018-12-18 09:12:13.000,1.4.0,8.0,gputil,,,,,4449.0,4198.0,https://pypi.org/project/gputil,436081.0,436081.0,,,,,,,,3.0,,2018-12-18 09:12:13.000,251.0,,,,,,,,,,,,,,,,,,, +561,metricflow,transform-data/metricflow,others,,https://github.com/dbt-labs/metricflow,https://github.com/dbt-labs/metricflow,,2022-04-04 18:33:06.000,2023-11-16 08:50:31.000000,2023-11-16 04:33:30,1867.0,171.0,75.0,19.0,665.0,62.0,146.0,983.0,"MetricFlow allows you to define, build, and maintain metrics in code.",41.0,24,False,2023-11-15 23:21:15.000,0.203.1,64.0,metricflow,,,,,14.0,11.0,https://pypi.org/project/metricflow,19795.0,19795.0,,,,,,,,3.0,,2023-11-15 23:20:58.000,3.0,,,,,,,,dbt-labs/metricflow,,,,,,,,,,, +562,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 05:57:46,1036.0,2.0,173.0,48.0,112.0,51.0,170.0,953.0,Python interface to GPU-powered libraries.,44.0,24,True,2019-05-27 00:29:00.000,0.5.3,7.0,scikit-cuda,,,,,320.0,271.0,https://pypi.org/project/scikit-cuda,629.0,629.0,,,,,,,,3.0,,2019-05-27 00:29:00.000,49.0,,,,,,,,,,,,,,,,,,, +563,dstack,dstackai/dstack,others,,https://github.com/dstackai/dstack,https://github.com/dstackai/dstack,MPL-2.0,2022-01-04 10:29:46.000,2023-11-16 12:32:25.000000,2023-11-15 19:44:59,1382.0,183.0,53.0,14.0,346.0,12.0,405.0,850.0,"dstack simplifies training, fine-tuning, and deploying generative AI models on any cloud. Discord:..",13.0,24,True,2023-10-31 13:44:57.000,0.12.2,154.0,dstack,,,,,13.0,13.0,https://pypi.org/project/dstack,991.0,991.0,,,,,,,,3.0,,2023-11-15 15:04:54.000,,-2.0,,,,,,,,,,,,,,,,,, +564,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,,159.0,33.0,25.0,33.0,235.0,740.0,NeuPy is a Tensorflow based python library for prototyping and building neural networks.,8.0,24,True,2019-04-04 19:44:59.000,0.8.2,34.0,neupy,,,,,174.0,161.0,https://pypi.org/project/neupy,2591.0,2591.0,,,,,,,,3.0,,2019-04-04 19:43:06.000,13.0,,,,,,,,,,,,,,,,,,, +565,torch-cluster,rusty1s/pytorch_cluster,graph,,https://github.com/rusty1s/pytorch_cluster,https://github.com/rusty1s/pytorch_cluster,MIT,2018-01-12 20:56:06.000,2023-10-18 07:58:23.867000,2023-10-11 13:01:19,594.0,3.0,127.0,16.0,53.0,25.0,120.0,713.0,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'],44.0,,https://pypi.org/project/torch-cluster,13956.0,15903.0,https://anaconda.org/conda-forge/pytorch_cluster,2023-10-18 07:58:23.867,81802.0,,,,,2.0,,2023-10-12 06:52:43.000,44.0,,,,,,,,,,,,,,,,,,, +566,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,,71.0,13.0,48.0,19.0,53.0,675.0,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,,,,985.0,985.0,https://pypi.org/project/pysbd,200083.0,200276.0,https://anaconda.org/conda-forge/pysbd,2023-06-16 19:27:37.870,4835.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +567,python-soundfile,bastibe/python-soundfile,audio,,https://github.com/bastibe/python-soundfile,https://github.com/bastibe/python-soundfile,BSD-3-Clause,2013-08-27 13:36:52.000,2023-11-06 08:05:38.000000,2023-10-14 06:13:02,551.0,2.0,93.0,17.0,191.0,95.0,135.0,604.0,"SoundFile is an audio library based on libsndfile, CFFI, and NumPy.",31.0,24,True,2023-02-15 15:39:02.000,0.12.1,15.0,soundfile,anaconda/pysoundfile,,,,169.0,,https://pypi.org/project/soundfile,1548875.0,1549015.0,https://anaconda.org/anaconda/pysoundfile,,,,,,,3.0,16418.0,2023-02-15 15:39:00.786,169.0,,,,,,,,,,,,,,,,,,, +568,pyvips,libvips/pyvips,image,,https://github.com/libvips/pyvips,https://github.com/libvips/pyvips,MIT,2017-07-28 16:39:43.000,2023-10-18 13:09:12.000000,2023-10-18 13:08:59,466.0,6.0,47.0,8.0,51.0,156.0,229.0,556.0,python binding for libvips using cffi.,16.0,24,True,2022-06-12 09:54:07.000,2.2.1,24.0,pyvips,conda-forge/pyvips,,,,663.0,617.0,https://pypi.org/project/pyvips,50923.0,52805.0,https://anaconda.org/conda-forge/pyvips,2023-09-26 03:23:28.071,69639.0,,,,,3.0,,2022-06-12 09:54:07.000,46.0,,,,,,,,,,,,,,,,,,, +569,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,,72.0,9.0,17.0,11.0,12.0,499.0,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'],4096.0,3932.0,https://pypi.org/project/findspark,1998952.0,2008719.0,https://anaconda.org/conda-forge/findspark,2023-06-16 13:16:45.065,869332.0,,,,,3.0,,2022-02-11 08:02:06.000,164.0,,,,,,,,,,,,,,,,,,, +570,featurewiz,AutoViML/featurewiz,hyperopt,,https://github.com/AutoViML/featurewiz,https://github.com/AutoViML/featurewiz,Apache-2.0,2020-11-29 16:46:16.000,2023-11-10 15:37:49.000000,2023-11-10 15:37:49,311.0,33.0,83.0,7.0,18.0,5.0,76.0,489.0,Use advanced feature engineering strategies and select best features from your data set with a single line of code.,16.0,24,True,2023-11-01 13:58:56.000,0.4.4,150.0,featurewiz,,,,,57.0,55.0,https://pypi.org/project/featurewiz,13520.0,13520.0,,,,,,,,2.0,,2023-11-01 13:58:56.000,2.0,,,,,,,,,,,,,,,,,,, +571,MONAILabel,Project-MONAI/MONAILabel,others,,https://github.com/Project-MONAI/MONAILabel,https://github.com/Project-MONAI/MONAILabel,Apache-2.0,2021-03-26 15:25:10.000,2023-11-08 16:03:22.000000,2023-11-08 16:03:21,952.0,23.0,165.0,25.0,819.0,88.0,381.0,470.0,MONAI Label is an intelligent open source image labeling and learning tool.,53.0,24,True,2023-10-18 15:08:49.000,0.8.0,114.0,monailabel-weekly,,,,,,,https://pypi.org/project/monailabel-weekly,179.0,2569.0,,,,,,,,3.0,66922.0,2023-10-01 02:24:07.000,,,,,,,,,,,,,,,,,,,, +572,vega,vega/ipyvega,data-viz,,https://github.com/vega/ipyvega,https://github.com/vega/ipyvega,BSD-3-Clause,2015-08-04 03:22:47.000,2023-11-01 02:12:00.000000,2023-11-01 02:11:59,650.0,8.0,62.0,29.0,421.0,13.0,91.0,363.0,IPython/Jupyter notebook module for Vega and Vega-Lite.,15.0,24,True,2023-07-18 13:09:18.000,4.0.0,40.0,vega,conda-forge/vega,,,['jupyter'],85.0,2.0,https://pypi.org/project/vega,15853.0,22264.0,https://anaconda.org/conda-forge/vega,2023-06-16 13:18:03.216,570598.0,,,,,3.0,,2022-02-10 02:01:39.000,83.0,,,,,,,,,,,,,,,,,,, +573,SUOD,yzhao062/SUOD,others,,https://github.com/yzhao062/SUOD,https://github.com/yzhao062/SUOD,BSD-2-Clause,2019-11-20 00:23:54.000,2023-10-27 06:03:47.000000,2023-10-27 06:01:03,162.0,9.0,47.0,17.0,2.0,9.0,3.0,361.0,(MLSys 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection).,3.0,24,True,2023-10-27 06:03:47.000,0.1.0,11.0,suod,,,,,496.0,494.0,https://pypi.org/project/suod,67880.0,67880.0,,,,,,,,3.0,,2023-10-27 06:03:47.000,2.0,,,,,,,,,,,,,,,,,,, +574,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 17:29:28,575.0,1.0,84.0,29.0,317.0,75.0,27.0,359.0,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'],316.0,309.0,https://pypi.org/project/tensorflow-cloud,46850.0,46850.0,,,,,,,,3.0,,2021-06-17 01:15:10.000,7.0,,,,,,,,,,,,,,,,,,, +575,pymap3d,geospace-code/pymap3d,geospatial-data,,https://github.com/geospace-code/pymap3d,https://github.com/geospace-code/pymap3d,BSD-2-Clause,2014-08-03 04:28:03.000,2023-11-15 07:33:52.000000,2023-11-15 07:33:51,743.0,6.0,80.0,13.0,30.0,9.0,45.0,341.0,pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef enu eci.,18.0,24,True,2023-03-05 05:35:05.094,3.0.1,57.0,pymap3d,conda-forge/pymap3d,,,,351.0,330.0,https://pypi.org/project/pymap3d,69713.0,71179.0,https://anaconda.org/conda-forge/pymap3d,2023-06-16 19:18:14.535,64517.0,,,,,3.0,,2023-03-05 05:35:05.094,21.0,,,,,,,,,,,,,,,,,,, +576,lkpy,lenskit/lkpy,recommender-systems,,https://github.com/lenskit/lkpy,https://github.com/lenskit/lkpy,MIT,2018-06-08 21:05:10.000,2023-11-12 00:58:57.000000,2023-11-12 00:58:57,2511.0,58.0,56.0,8.0,234.0,30.0,77.0,248.0,Python recommendation toolkit.,13.0,24,False,2022-08-16 20:29:07.512,0.14.2,23.0,lenskit,conda-forge/lenskit,,,,96.0,92.0,https://pypi.org/project/lenskit,1101.0,1744.0,https://anaconda.org/conda-forge/lenskit,2023-06-16 19:23:42.362,23149.0,,,,,3.0,,2022-08-16 20:29:07.512,4.0,,,,,,,,,,,,,,,,,,, +577,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 10:19:07,763.0,8.0,649.0,97.0,150.0,98.0,103.0,8324.0,The user analytics platform for LLMs.,40.0,23,True,2023-06-18 11:03:00.511,0.10.0,26.0,nebullvm,,,,,2.0,,https://pypi.org/project/nebullvm,618.0,618.0,,,,,,,,3.0,,2023-06-18 11:03:00.511,2.0,,,,,,,,nebuly-ai/nebuly,,,,,,,,,,, +578,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,,606.0,146.0,1362.0,118.0,985.0,7962.0,Production infrastructure for machine learning at scale.,25.0,23,True,2022-09-23 18:01:31.000,0.42.1,63.0,cortex,,,,,1.0,,https://pypi.org/project/cortex,1106.0,1106.0,,,,,,,,3.0,,2022-09-23 17:40:01.770,1.0,,,,,,,,,,,,,,,,,,, +579,MMLSpark,microsoft/SynapseML,distributed-ml,,https://github.com/microsoft/SynapseML,https://github.com/microsoft/SynapseML,MIT,2017-06-05 08:23:44.000,2023-11-16 08:14:26.000000,2023-11-16 07:28:23,1544.0,57.0,802.0,145.0,1442.0,326.0,397.0,4613.0,Simple and Distributed Machine Learning.,114.0,23,True,2023-11-02 01:41:54.000,1.0.1,40.0,mmlspark,,,,['spark'],,,https://pypi.org/project/mmlspark,1.0,1.0,,,,,,,,3.0,,2020-03-18 01:27:31.000,,,,,,,,,,,,,,,,,,,, +580,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 13:41:13.000,2022-01-23 11:27:35.000000,2021-06-02 09:45:13,150.0,,702.0,102.0,32.0,101.0,113.0,4343.0,Super-scale your images and run experiments with Residual Dense and Adversarial Networks.,10.0,23,False,2020-01-08 15:37:35.000,2.2.0,11.0,ISR,,idealo/image-super-resolution-gpu,,['tensorflow'],121.0,116.0,https://pypi.org/project/ISR,5259.0,5262.0,,,,https://hub.docker.com/r/idealo/image-super-resolution-gpu,2019-04-01 13:48:45.697251,1.0,229.0,3.0,,2020-01-08 15:37:35.000,5.0,,,,,,,,,,,,,,,,,,, +581,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,,510.0,139.0,649.0,66.0,197.0,3838.0,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,2487.0,2487.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +582,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,,892.0,177.0,385.0,33.0,430.0,3802.0,"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'],15.0,15.0,https://pypi.org/project/matchzoo,108.0,108.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +583,Apache Singa,apache/singa,distributed-ml,,https://github.com/apache/singa,https://github.com/apache/singa,Apache-2.0,2015-04-02 07:00:05.000,2023-11-05 09:58:06.000000,2023-11-05 09:58:06,2685.0,84.0,1043.0,132.0,1025.0,53.0,72.0,3018.0,a distributed deep learning platform.,85.0,23,True,2020-04-21 08:01:08.000,3.0.0,16.0,,nusdbsystem/singa,apache/singa,,,2.0,2.0,,,51.0,https://anaconda.org/nusdbsystem/singa,2023-06-16 13:23:56.805,726.0,https://hub.docker.com/r/apache/singa,2022-05-31 15:24:19.649658,4.0,4431.0,3.0,,,,,,,,,,,,,,,,,,,,,, +584,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 08:45:10,277.0,6.0,236.0,43.0,110.0,80.0,64.0,2823.0,"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,12588.0,12590.0,,,,,,,,3.0,119.0,2021-07-01 17:11:02.000,6.0,,,,,,,,,,,,,,,,,,, +585,tensorflow-graphics,tensorflow/graphics,image,,https://github.com/tensorflow/graphics,https://github.com/tensorflow/graphics,Apache-2.0,2019-01-08 10:39:44.000,2023-10-18 17:03:24.000000,2023-08-08 21:17:31,765.0,,362.0,93.0,545.0,144.0,92.0,2732.0,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'],8.0,,https://pypi.org/project/tensorflow-graphics,5457.0,5457.0,,,,,,,,3.0,,2021-12-03 22:33:39.000,8.0,,,,,,,,,,,,,,,,,,, +586,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 02:27:30.000,2023-09-06 01:51:23.000000,2023-09-06 01:51:17,3452.0,1.0,732.0,107.0,3869.0,533.0,855.0,2591.0,"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,447.0,447.0,,,,,,,,3.0,,2022-07-07 07:51:54.000,1.0,,,,,,,,,,,,,,,,,,, +587,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,,413.0,130.0,136.0,60.0,128.0,2398.0,Deep Learning toolkit for Computer Vision.,15.0,23,False,2018-11-09 21:35:17.000,0.2.3,10.0,luminoth,,,,['tensorflow'],51.0,49.0,https://pypi.org/project/luminoth,2198.0,2372.0,,,,,,,,3.0,12709.0,2018-11-09 21:35:17.000,2.0,,,,,,,,,,,,,,,,,,, +588,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,,440.0,65.0,122.0,26.0,350.0,2371.0,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,78.0,78.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +589,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,,304.0,67.0,78.0,63.0,68.0,2095.0,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'],27.0,24.0,https://pypi.org/project/sru,2524.0,2524.0,,,,,,,,3.0,,2021-06-17 23:33:37.000,3.0,,,,,,,,,,,,,,,,,,, +590,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,,638.0,82.0,48.0,24.0,64.0,1993.0,Common financial technical indicators implemented in Pandas.,28.0,23,False,2021-04-03 08:51:49.000,1.3,19.0,finta,,,,,452.0,440.0,https://pypi.org/project/finta,7193.0,7193.0,,,,,,,,3.0,,2020-10-21 11:39:44.000,12.0,,,,,,,,,,,,,,,,,,, +591,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,,237.0,45.0,33.0,49.0,90.0,1878.0,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'],146.0,146.0,https://pypi.org/project/torchmeta,3265.0,3265.0,,,,,,,,3.0,,2021-09-20 16:06:33.000,,,,,,,,,,,,,,,,,,,, +592,Orbit,uber/orbit,probabilistics,,https://github.com/uber/orbit,https://github.com/uber/orbit,Apache-2.0,2020-01-07 18:20:37.000,2023-09-26 02:48:51.000000,2023-09-26 02:48:50,872.0,1.0,127.0,34.0,407.0,65.0,326.0,1750.0,A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.,18.0,23,True,2023-01-29 22:05:17.000,1.1.4.2,23.0,orbit-ml,,,,,42.0,41.0,https://pypi.org/project/orbit-ml,64241.0,64241.0,,,,,,,,3.0,,2023-01-29 22:06:26.764,1.0,,,,,,,,,,,,,,,,,,, +593,uber/orbit,uber/orbit,time-series-data,,https://github.com/uber/orbit,https://github.com/uber/orbit,Apache-2.0,2020-01-07 18:20:37.000,2023-09-26 02:48:51.000000,2023-09-26 02:48:50,872.0,1.0,127.0,34.0,407.0,65.0,326.0,1750.0,A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.,18.0,23,True,2023-01-29 22:05:17.000,1.1.4.2,23.0,orbit-ml,conda-forge/orbit-ml,,,,42.0,41.0,https://pypi.org/project/orbit-ml,64241.0,64447.0,https://anaconda.org/conda-forge/orbit-ml,2023-06-18 08:40:35.691,4538.0,,,,,3.0,,2023-01-29 22:06:26.764,1.0,,,,,,,,,,,,,,,,,,, +594,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,,115.0,39.0,11.0,32.0,51.0,1607.0,"A fast, efficient universal vector embedding utility package.",4.0,23,False,2020-05-25 11:26:36.000,0.1.143,128.0,pymagnitude,,,,,333.0,320.0,https://pypi.org/project/pymagnitude,2129.0,2129.0,,,,,,,,3.0,,2020-05-25 11:26:36.000,13.0,,,,,,,,,,,,,,,,,,, +595,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,,119.0,28.0,31.0,58.0,50.0,1556.0,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'],350.0,345.0,https://pypi.org/project/higher,52098.0,52098.0,,,,,,,,3.0,,2020-07-14 12:20:32.000,5.0,,,,,,,,,,,,,,,,,,, +596,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,,203.0,45.0,12.0,4.0,51.0,1545.0,"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'],199.0,197.0,https://pypi.org/project/geffnet,8040.0,8040.0,,,,,,,,3.0,,2021-07-08 19:05:05.000,2.0,,,,,,,,,,,,,,,,,,, +597,fklearn,nubank/fklearn,ml-frameworks,,https://github.com/nubank/fklearn,https://github.com/nubank/fklearn,Apache-2.0,2019-02-27 14:32:57.000,2023-11-09 12:59:48.000000,2023-11-08 21:41:55,157.0,2.0,162.0,99.0,183.0,35.0,25.0,1465.0,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,883.0,883.0,,,,,,,,3.0,,2023-11-09 12:59:48.000,,,,,,,,,,,,,,,,,,,, +598,CrypTen,facebookresearch/CrypTen,privacy-ml,,https://github.com/facebookresearch/CrypTen,https://github.com/facebookresearch/CrypTen,MIT,2019-08-15 00:00:31.000,2023-09-01 16:34:21.000000,2023-08-25 22:11:00,340.0,1.0,292.0,40.0,252.0,69.0,191.0,1380.0,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'],32.0,31.0,https://pypi.org/project/crypten,252.0,252.0,,,,,,,,3.0,,2022-12-08 22:11:59.883,1.0,,,,,,,,,,,,,,,,,,, +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,,159.0,32.0,22.0,42.0,34.0,1254.0,"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'],60.0,59.0,https://pypi.org/project/sklearn-porter,473.0,473.0,,,,,,,,3.0,,2019-12-18 13:39:19.000,1.0,,,,,,,,,,,,,,,,,,, +600,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,,189.0,27.0,57.0,21.0,36.0,1221.0,A Toolbox for Adversarial Robustness Research.,21.0,23,False,2020-06-15 01:20:07.000,0.2.3,10.0,advertorch,,,,['pytorch'],143.0,138.0,https://pypi.org/project/advertorch,600.0,600.0,,,,,,,,3.0,,2020-06-15 01:20:07.000,5.0,,,,,,,,,,,,,,,,,,, +601,Node2Vec,eliorc/node2vec,graph,,https://github.com/eliorc/node2vec,https://github.com/eliorc/node2vec,MIT,2017-12-08 13:30:06.000,2023-08-29 11:31:26.000000,2023-08-29 11:31:26,76.0,1.0,226.0,20.0,16.0,3.0,87.0,1134.0,Implementation of the node2vec algorithm.,12.0,23,True,2022-08-01 11:35:00.616,0.4.6,18.0,node2vec,conda-forge/node2vec,,,,521.0,503.0,https://pypi.org/project/node2vec,66851.0,67259.0,https://anaconda.org/conda-forge/node2vec,2023-06-16 16:13:35.056,26928.0,,,,,3.0,,2022-08-01 11:35:00.616,18.0,,,,,,,,,,,,,,,,,,, +602,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 19:16:54,508.0,1.0,165.0,32.0,86.0,16.0,32.0,1114.0,"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,,,,,85.0,85.0,https://pypi.org/project/FinQuant,532.0,532.0,,,,,,,,3.0,,2023-09-04 06:57:56.000,,,,,,,,,,,,,,,,,,,, +603,YouTokenToMe,vkcom/youtokentome,nlp,,https://github.com/VKCOM/YouTokenToMe,https://github.com/VKCOM/YouTokenToMe,MIT,2019-06-06 11:38:28.000,2023-09-27 19:23:04.851000,2023-03-29 07:39:45,85.0,,78.0,26.0,53.0,32.0,27.0,921.0,Unsupervised text tokenizer focused on computational efficiency.,8.0,23,True,2020-02-13 09:57:47.000,1.0.6,4.0,youtokentome,conda-forge/youtokentome,,,,550.0,550.0,https://pypi.org/project/youtokentome,35306.0,36796.0,https://anaconda.org/conda-forge/youtokentome,2023-09-27 19:23:04.851,38763.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +604,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,,146.0,23.0,46.0,14.0,82.0,900.0,kapre: Keras Audio Preprocessors.,13.0,23,False,2022-01-21 20:10:47.000,Kapre-0.3.7,24.0,kapre,,,,['tensorflow'],2337.0,2323.0,https://pypi.org/project/kapre,1327.0,1327.0,,,,,,,,3.0,26.0,2022-01-21 20:09:21.000,14.0,,,,,,,,,,,,,,,,,,, +605,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,,105.0,26.0,36.0,34.0,69.0,868.0,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'],554.0,542.0,https://pypi.org/project/pandas-bokeh,20074.0,20074.0,,,,,,,,3.0,,2021-04-11 17:43:13.000,12.0,,,,,,,,,,,,,,,,,,, +606,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,,136.0,25.0,594.0,62.0,511.0,838.0,"An Agnostic Computer Vision Framework - Pluggable to any Training Library: Fastai, Pytorch-Lightning with more to come.",41.0,23,True,2022-02-10 15:55:46.374,0.12.0,41.0,icevision,,,,,6.0,,https://pypi.org/project/icevision,4493.0,4493.0,,,,,,,,3.0,,2022-02-10 15:55:46.374,6.0,,,,,,,,,,,,,,,,,,, +607,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,,81.0,14.0,77.0,218.0,218.0,829.0,"Experiment tracking, ML developer tools.",29.0,23,True,2023-02-25 17:16:57.621,0.9.0,186.0,guildai,,,,,85.0,85.0,https://pypi.org/project/guildai,2337.0,2337.0,,,,,,,,3.0,14.0,2022-05-11 01:13:31.000,,,,,,,,,,,,,,,,,,,, +608,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,,100.0,29.0,60.0,20.0,74.0,808.0,ML-Ensemble high performance ensemble learning.,7.0,23,False,2018-10-30 22:34:35.000,0.2.3,14.0,mlens,,,,,345.0,341.0,https://pypi.org/project/mlens,4705.0,4705.0,,,,,,,,3.0,,2018-10-30 22:30:43.000,4.0,,,,,,,,,,,,,,,,,,, +609,TF Compression,tensorflow/compression,tensorflow-utils,,https://github.com/tensorflow/compression,https://github.com/tensorflow/compression,Apache-2.0,2018-05-15 23:32:19.000,2023-10-13 19:56:17.000000,2023-10-12 18:15:50,276.0,4.0,243.0,45.0,18.0,7.0,91.0,786.0,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,10188.0,10188.0,,,,,,,,3.0,,2023-10-12 23:14:15.000,2.0,,,,,,,,,,,,,,,,,,, +610,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,,146.0,25.0,154.0,74.0,137.0,761.0,Google maps for Jupyter notebooks.,16.0,23,False,2019-07-21 08:49:48.715,0.9.0,95.0,gmaps,conda-forge/gmaps,,,['jupyter'],49.0,3.0,https://pypi.org/project/gmaps,5123.0,10369.0,https://anaconda.org/conda-forge/gmaps,2023-06-16 13:23:14.332,309179.0,,,,,3.0,,2019-07-21 08:49:39.000,44.0,,jupyter-gmaps,https://www.npmjs.com/package/jupyter-gmaps,1283.0,,2019-07-21 08:49:48.715,2.0,,,,,,,,,,,, +611,detoxify,unitaryai/detoxify,nlp,,https://github.com/unitaryai/detoxify,https://github.com/unitaryai/detoxify,Apache-2.0,2020-09-23 15:24:21.000,2023-11-01 14:08:48.000000,2023-08-23 11:46:56,231.0,5.0,98.0,15.0,37.0,34.0,24.0,749.0,Trained models & code to predict toxic comments on all 3 Jigsaw Toxic Comment Challenges. Built using Pytorch..,11.0,23,True,2022-12-19 18:16:02.257,0.5.1,12.0,detoxify,,,,,454.0,444.0,https://pypi.org/project/detoxify,24218.0,32906.0,,,,,,,,3.0,312798.0,2022-12-19 18:16:02.257,10.0,,,,,,,,,,,,,,,,,,, +612,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 00:20:33,398.0,1.0,155.0,17.0,72.0,35.0,105.0,657.0,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,,,,175.0,151.0,https://pypi.org/project/python-ternary,35359.0,36221.0,https://anaconda.org/conda-forge/python-ternary,2023-06-16 13:17:10.682,78522.0,,,,,3.0,25.0,2021-02-17 18:38:15.000,24.0,,,,,,,,,,,,,,,,,,, +613,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,,138.0,124.0,91.0,43.0,67.0,643.0,Use Mapbox GL JS to visualize data in a Python Jupyter notebook.,22.0,23,False,2019-06-03 21:24:10.000,0.10.2,20.0,mapboxgl,,,,['jupyter'],190.0,175.0,https://pypi.org/project/mapboxgl,14842.0,14842.0,,,,,,,,3.0,,2019-06-02 16:02:54.380,15.0,,,,,,,,,,,,,,,,,,, +614,Torchbearer,pytorchbearer/torchbearer,ml-frameworks,,https://github.com/pytorchbearer/torchbearer,https://github.com/pytorchbearer/torchbearer,MIT,2018-03-12 16:30:42.000,2023-11-13 17:26:36.000000,2023-11-13 17:07:05,439.0,9.0,67.0,28.0,430.0,10.0,237.0,629.0,torchbearer: A model fitting library for PyTorch.,14.0,23,True,2023-11-13 17:26:36.000,0.5.4,25.0,torchbearer,,,,['pytorch'],84.0,84.0,https://pypi.org/project/torchbearer,467.0,467.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +615,pivottablejs,nicolaskruchten/jupyter_pivottablejs,data-viz,,https://github.com/nicolaskruchten/jupyter_pivottablejs,https://github.com/nicolaskruchten/jupyter_pivottablejs,MIT,2015-09-09 13:39:18.000,2023-11-14 16:50:34.803000,2018-12-04 14:43:25,32.0,,79.0,21.0,8.0,23.0,41.0,606.0,"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'],397.0,376.0,https://pypi.org/project/pivottablejs,20116.0,20146.0,https://anaconda.org/anaconda/pivottablejs,2023-11-14 16:50:34.803,2803.0,,,,,3.0,,2018-01-15 18:14:37.000,21.0,,,,,,,,,,,,,,,,,,, +616,FEDOT,nccr-itmo/FEDOT,hyperopt,,https://github.com/aimclub/FEDOT,https://github.com/aimclub/FEDOT,BSD-3-Clause,2020-01-13 12:48:37.000,2023-11-16 11:05:22.000000,2023-11-14 17:44:19,831.0,23.0,77.0,9.0,679.0,80.0,415.0,562.0,Automated modeling and machine learning framework FEDOT.,29.0,23,True,2023-07-25 13:20:41.000,0.7.2,19.0,fedot,,,,,42.0,41.0,https://pypi.org/project/fedot,1050.0,1050.0,,,,,,,,3.0,,2023-07-25 13:17:29.000,1.0,,,,,,,,aimclub/FEDOT,,,,,,,,,,, +617,MedPy,loli/medpy,medical-data,,https://github.com/loli/medpy,https://github.com/loli/medpy,GPL-3.0,2012-05-11 10:57:34.000,2023-10-26 16:17:25.000000,2022-11-17 11:12:46,327.0,,131.0,20.0,34.0,14.0,70.0,517.0,Medical image processing in Python.,16.0,23,False,2019-02-14 17:12:59.000,0.4.0,6.0,MedPy,conda-forge/medpy,,,,1577.0,1533.0,https://pypi.org/project/MedPy,14214.0,14932.0,https://anaconda.org/conda-forge/medpy,2023-10-20 11:57:43.827,20832.0,,,,,3.0,,2019-02-14 17:12:59.000,44.0,,,,,,,,,,,,,,,,,,, +618,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,,61.0,7.0,206.0,18.0,109.0,478.0,Happy Transformer makes it easy to fine-tune and perform inference with NLP Transformer models.,14.0,23,True,2023-08-07 03:02:27.000,3.0.0,40.0,happytransformer,,,,['huggingface'],213.0,208.0,https://pypi.org/project/happytransformer,3279.0,3279.0,,,,,,,,3.0,,2023-08-05 22:54:02.000,5.0,,,,,,,,,,,,,,,,,,, +619,Hyperactive,SimonBlanke/Hyperactive,hyperopt,,https://github.com/SimonBlanke/Hyperactive,https://github.com/SimonBlanke/Hyperactive,MIT,2018-11-01 08:53:30.000,2023-11-01 17:47:11.000000,2023-11-01 17:47:00,2273.0,35.0,41.0,11.0,11.0,9.0,52.0,473.0,An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.,7.0,23,True,2023-11-01 10:40:28.000,4.6.0,75.0,hyperactive,,,,,26.0,21.0,https://pypi.org/project/hyperactive,5297.0,5299.0,,,,,,,,3.0,130.0,2023-10-24 14:03:36.000,5.0,,,,,,,,,,,,,,,,,,, +620,Orion,Epistimio/orion,hyperopt,,https://github.com/Epistimio/orion,https://github.com/Epistimio/orion,BSD-3-Clause,2017-09-07 06:05:21.000,2023-11-13 21:23:55.000000,2023-11-08 21:14:35,4041.0,5.0,48.0,14.0,711.0,217.0,203.0,270.0,Asynchronous Distributed Hyperparameter Optimization.,32.0,23,False,2023-03-02 22:26:01.035,0.2.7,26.0,orion,,,,,103.0,95.0,https://pypi.org/project/orion,967.0,967.0,,,,,,,,3.0,,2022-08-22 17:10:40.826,8.0,,,,,,,,,,,,,,,,,,, +621,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 02:24:03.000000,2023-11-16 02:17:17,251.0,6.0,27.0,8.0,4.0,21.0,59.0,265.0,Multiple Imputation with LightGBM in Python.,6.0,23,False,2023-11-16 02:24:03.000,5.7.0,45.0,miceforest,conda-forge/miceforest,,,,106.0,101.0,https://pypi.org/project/miceforest,22890.0,23296.0,https://anaconda.org/conda-forge/miceforest,2023-06-16 19:26:58.237,11372.0,,,,,1.0,,2023-11-16 02:24:03.000,5.0,,,,,,,,,,,,,,,,,,, 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Get NVIDIA GPU status inside your program.,9.0,23,False,2021-11-22 14:30:25.000,0.2.7,14.0,py3nvml,conda-forge/py3nvml,,,,944.0,899.0,https://pypi.org/project/py3nvml,104278.0,105751.0,https://anaconda.org/conda-forge/py3nvml,2023-09-25 06:14:21.168,54505.0,,,,,3.0,,2021-11-22 14:30:25.000,45.0,,,,,,,,,,,,,,,,,,, +623,DeepSpeech,mozilla/DeepSpeech,audio,,https://github.com/mozilla/DeepSpeech,https://github.com/mozilla/DeepSpeech,MPL-2.0,2016-06-02 15:04:53.000,2023-07-20 13:12:55.000000,,,,3827.0,,,132.0,,22917.0,"DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices..",142.0,22,True,2020-12-10 17:22:09.000,0.9.3,100.0,deepspeech,conda-forge/deepspeech,,,['tensorflow'],43.0,,https://pypi.org/project/deepspeech,7543.0,7628.0,https://anaconda.org/conda-forge/deepspeech,2023-06-16 19:27:01.157,2393.0,,,,,3.0,,2020-12-19 10:05:12.000,43.0,,,,,,,,,,,,,,,,,,, +624,DEβ«ΆTR,facebookresearch/detr,image,,https://github.com/facebookresearch/detr,https://github.com/facebookresearch/detr,Apache-2.0,2020-05-26 23:54:52.000,2023-10-26 13:08:14.000000,2023-02-07 10:12:31,47.0,,2141.0,149.0,87.0,240.0,284.0,12051.0,End-to-End Object Detection with Transformers.,26.0,22,True,2020-06-29 16:41:01.000,0.2,1.0,,,,,['pytorch'],21.0,21.0,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +625,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,,497.0,82.0,37.0,51.0,26.0,10486.0,"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,,,,37.0,37.0,https://pypi.org/project/prettymaps,824.0,923.0,https://anaconda.org/conda-forge/prettymaps,2023-06-18 08:40:31.986,2189.0,,,,,3.0,,2021-10-19 13:33:43.000,,,,,,,,,,,,,,,,,,,, +626,PyText,facebookresearch/pytext,nlp,,https://github.com/facebookresearch/pytext,https://github.com/facebookresearch/pytext,,2018-07-31 23:40:46.000,2022-10-17 19:55:31.000000,2022-10-17 19:51:05,1735.0,,791.0,170.0,1588.0,61.0,74.0,6358.0,A natural language modeling framework based on PyTorch.,234.0,22,False,2020-06-08 23:30:58.000,0.3.3,9.0,pytext-nlp,,,,['pytorch'],21.0,21.0,https://pypi.org/project/pytext-nlp,99.0,104.0,,,,,,,,3.0,348.0,,,,,,,,,,,,,,,,,,,,, +627,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,,1379.0,263.0,68.0,115.0,135.0,6156.0,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,50.0,50.0,,,,,,,,3.0,,2015-04-19 21:20:16.000,3.0,,,,,,,,,,,,,,,,,,, +628,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,,779.0,224.0,25.0,7.0,122.0,5299.0,Build Graph Nets in Tensorflow.,11.0,22,True,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,1457.0,1457.0,,,,,,,,3.0,,2020-01-29 16:00:25.000,8.0,,,,,,,,google-deepmind/graph_nets,,,,,,,,,,, +629,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,,806.0,233.0,109.0,56.0,620.0,4824.0,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,,,,,,,,,,23.0,,,,,,,,3.0,1501.0,,,,,,,,,,,,,,,,,,,,, +630,Crypto Signals,CryptoSignal/crypto-signal,financial-data,,https://github.com/CryptoSignal/Crypto-Signal,https://github.com/CryptoSignal/Crypto-Signal,MIT,2017-09-16 23:49:24.000,2023-07-18 09:20:28.000000,2022-08-09 13:26:32,565.0,,1273.0,306.0,204.0,67.0,208.0,4538.0,"Github.com/CryptoSignal - Trading & Technical Analysis Bot - 4,100+ stars, 1,100+ forks.",28.0,22,False,,,,,,shadowreaver/crypto-signal,,,,,,,1933.0,,,,https://hub.docker.com/r/shadowreaver/crypto-signal,2020-09-03 13:00:35.801133,8.0,143070.0,3.0,,,,,,,,,,,,,,,,,,,,,, +631,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 19:09:50.000000,2022-03-13 19:08:59,231.0,,324.0,75.0,37.0,95.0,74.0,4388.0,Simple command line tool for text to image generation using OpenAIs CLIP and Siren (Implicit neural representation..,14.0,22,False,2022-03-13 19:09:50.000,0.11.1,67.0,deep-daze,,,,,51.0,51.0,https://pypi.org/project/deep-daze,697.0,697.0,,,,,,,,3.0,,2022-03-13 19:09:50.000,,,,,,,,,,,,,,,,,,,, +632,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 03:11:32.000,2023-11-16 14:13:37.000000,2023-01-15 11:37:16,279.0,,821.0,105.0,92.0,110.0,349.0,4228.0,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,11841.0,11841.0,,,,,,,,3.0,,2021-12-13 01:36:44.000,2.0,,,,,,,,,,,,,,,,,,, +633,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,,824.0,333.0,89.0,91.0,306.0,3865.0,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,112.0,136.0,https://anaconda.org/anaconda/neon,2023-06-16 13:24:50.216,1865.0,,,,,3.0,374.0,2018-01-05 23:25:04.000,1.0,,,,,,,,,,,,,,,,,,, +634,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,,654.0,77.0,53.0,176.0,101.0,3339.0,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,4053.0,4062.0,,,,,,,,3.0,536.0,2021-10-18 01:47:20.000,7.0,,,,,,,,,,,,,,,,,,, +635,vissl,facebookresearch/vissl,image,,https://github.com/facebookresearch/vissl,https://github.com/facebookresearch/vissl,MIT,2020-04-09 19:40:33.000,2023-10-20 18:29:52.000000,2023-10-20 18:18:37,406.0,2.0,317.0,56.0,413.0,79.0,106.0,3153.0,"VISSL is FAIRs library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.",37.0,22,True,2021-11-02 17:21:02.000,0.1.6,6.0,vissl,,,,['pytorch'],31.0,30.0,https://pypi.org/project/vissl,223.0,223.0,,,,,,,,3.0,,2021-11-02 15:36:07.000,1.0,,,,,,,,,,,,,,,,,,, +636,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,,380.0,208.0,9.0,6.0,16.0,3140.0,TensorFlow Reinforcement Learning.,13.0,22,False,2021-08-16 12:19:16.000,1.2.0,5.0,trfl,,,,['tensorflow'],135.0,132.0,https://pypi.org/project/trfl,1614.0,1614.0,,,,,,,,3.0,,2021-08-16 12:19:16.000,3.0,,,,,,,,google-deepmind/trfl,,,,,,,,,,, +637,opyrator,ml-tooling/opyrator,others,,https://github.com/ml-tooling/opyrator,https://github.com/ml-tooling/opyrator,MIT,2021-04-06 08:09:06.000,2023-11-09 22:51:06.000000,2021-05-06 12:10:38,127.0,,152.0,50.0,54.0,2.0,30.0,2954.0,"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,,,,46.0,46.0,https://pypi.org/project/opyrator,99.0,161.0,https://anaconda.org/conda-forge/opyrator,2023-06-18 08:40:31.958,1371.0,,,,,3.0,,2021-05-04 18:48:03.000,,,,,,,,,,,,,,,,,,,, +638,ffcv,libffcv/ffcv,image,,https://github.com/libffcv/ffcv,https://github.com/libffcv/ffcv,Apache-2.0,2021-10-13 17:03:39.000,2023-09-01 22:04:56.000000,2023-08-24 15:33:37,935.0,1.0,165.0,20.0,73.0,89.0,167.0,2660.0,FFCV: Fast Forward Computer Vision (and other ML workloads!).,27.0,22,True,2023-03-05 05:44:00.314,1.0.2,7.0,ffcv,,,,,34.0,33.0,https://pypi.org/project/ffcv,958.0,958.0,,,,,,,,3.0,,2022-01-28 20:40:22.000,1.0,,,,,,,,,,,,,,,,,,, +639,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,,370.0,80.0,144.0,33.0,126.0,2369.0,"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,62.0,62.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +640,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,,83.0,41.0,47.0,11.0,74.0,2035.0,The friendly PIL fork.,385.0,22,False,,,,pillow-simd,,,,,,,https://pypi.org/project/pillow-simd,64947.0,64947.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +641,greykite,linkedin/greykite,time-series-data,,https://github.com/linkedin/greykite,https://github.com/linkedin/greykite,BSD-2-Clause,2021-04-27 17:05:53.000,2023-06-07 17:48:51.000000,2023-06-07 17:48:50,26.0,,100.0,37.0,27.0,22.0,78.0,1752.0,"A flexible, intuitive and fast forecasting library.",9.0,22,True,2023-06-07 17:56:26.462,0.5.1,10.0,greykite,,,,,24.0,24.0,https://pypi.org/project/greykite,13634.0,13634.0,,,,,,,,3.0,4.0,2022-07-15 21:40:53.479,,,,,,,,,,,,,,,,,,,, +642,hiddenlayer,waleedka/hiddenlayer,ml-experiments,,https://github.com/waleedka/hiddenlayer,https://github.com/waleedka/hiddenlayer,MIT,2018-05-18 22:34:51.000,2023-04-08 10:04:48.000000,2020-04-24 06:58:09,58.0,,255.0,44.0,13.0,57.0,35.0,1740.0,"Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.",6.0,22,False,2018-12-03 04:33:29.000,0.2,3.0,hiddenlayer,,,,"['pytorch', 'tensorflow', 'jupyter']",243.0,232.0,https://pypi.org/project/hiddenlayer,1555.0,1555.0,,,,,,,,3.0,,2020-04-24 07:32:11.000,11.0,,,,,,,,,,,,,,,,,,, +643,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,,209.0,39.0,111.0,54.0,42.0,1683.0,"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'],145.0,137.0,https://pypi.org/project/sklearn-contrib-lightning,1475.0,3786.0,https://anaconda.org/conda-forge/sklearn-contrib-lightning,2023-06-16 13:18:02.734,202266.0,,,,,3.0,400.0,2022-01-30 00:43:43.000,8.0,,,,,,,,,,,,,,,,,,, +644,DIG,divelab/DIG,graph,,https://github.com/divelab/DIG,https://github.com/divelab/DIG,GPL-3.0,2020-10-30 03:51:15.000,2023-10-25 22:04:21.000000,2023-10-25 22:04:21,1073.0,5.0,252.0,33.0,36.0,24.0,167.0,1650.0,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,421.0,421.0,,,,,,,,3.0,,2015-08-23 10:30:20.000,8.0,,,,,,,,,,,,,,,,,,, +645,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,,311.0,99.0,45.0,187.0,216.0,1627.0,[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,592.0,592.0,,,,,,,,3.0,42.0,2018-02-22 01:13:03.000,7.0,,,,,,,,,,,,,,,,,,, +646,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,,290.0,46.0,801.0,70.0,485.0,1568.0,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,70.0,70.0,,,,,,,,3.0,,2021-05-10 18:56:39.000,,,,,,,,,,,,,,,,,,,, +647,benchmark_VAE,clementchadebec/benchmark_VAE,others,,https://github.com/clementchadebec/benchmark_VAE,https://github.com/clementchadebec/benchmark_VAE,Apache-2.0,2021-10-02 16:26:24.000,2023-10-22 18:43:46.000000,2023-10-22 18:43:46,368.0,11.0,135.0,18.0,68.0,17.0,31.0,1536.0,Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022).,15.0,22,True,2023-09-06 15:46:59.000,0.1.2,12.0,pythae,,,,['pytorch'],17.0,17.0,https://pypi.org/project/pythae,576.0,576.0,,,,,,,,3.0,,2023-09-06 15:46:59.000,,,,,,,,,,,,,,,,,,,, +648,Vulkan Kompute,KomputeProject/kompute,gpu-utilities,,https://github.com/KomputeProject/kompute,https://github.com/KomputeProject/kompute,Apache-2.0,2020-07-29 05:23:33.000,2023-11-06 23:58:21.000000,2023-11-02 06:51:17,1208.0,16.0,95.0,31.0,146.0,63.0,130.0,1294.0,"General purpose GPU compute framework built on Vulkan to support 1000s of cross vendor graphics cards (AMD, Qualcomm,..",23.0,22,True,2022-04-13 10:24:33.000,0.8.1,13.0,kp,,,,,8.0,8.0,https://pypi.org/project/kp,126.0,138.0,,,,,,,,3.0,480.0,2022-04-13 10:22:18.000,,,,,,,,,,,,,,,,,,,, +649,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 15:42:30,833.0,4.0,306.0,51.0,791.0,4.0,300.0,1192.0,Sequence-to-sequence framework with a focus on Neural Machine Translation based on PyTorch.,60.0,22,True,2023-03-03 07:44:13.000,3.1.34,76.0,sockeye,,,,['mxnet'],,,https://pypi.org/project/sockeye,820.0,820.0,,,,,,,,3.0,17.0,,,,,,,,,,,,,,,,,,,,, +650,NGT,yahoojapan/NGT,nn-search,,https://github.com/yahoojapan/NGT,https://github.com/yahoojapan/NGT,Apache-2.0,2016-09-01 07:36:57.000,2023-11-14 01:18:27.000000,2023-11-13 04:39:39,183.0,3.0,106.0,37.0,25.0,17.0,111.0,1135.0,Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data.,14.0,22,True,2023-11-14 01:18:27.000,2.1.5,78.0,ngt,,,,,8.0,,https://pypi.org/project/ngt,6622.0,6622.0,,,,,,,,3.0,,2023-11-14 01:18:27.000,8.0,,,,,,,,,,,,,,,,,,, +651,calamari,Calamari-OCR/calamari,ocr,,https://github.com/Calamari-OCR/calamari,https://github.com/Calamari-OCR/calamari,Apache-2.0,2018-03-20 15:22:29.000,2023-10-25 14:32:27.000000,2023-08-18 11:01:23,442.0,,205.0,54.0,85.0,60.0,205.0,1006.0,Line based ATR Engine based on OCRopy.,20.0,22,True,2023-08-18 11:26:46.000,1.0.6,35.0,calamari_ocr,,,,,,,https://pypi.org/project/calamari_ocr,2329.0,2329.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +652,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,,108.0,50.0,98.0,41.0,51.0,997.0,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'],210.0,202.0,https://pypi.org/project/tf-explain,1819.0,1819.0,,,,,,,,3.0,,2021-11-18 20:57:29.000,8.0,,,,,,,,,,,,,,,,,,, +653,AstroML,astroML/astroML,others,,https://github.com/astroML/astroML,https://github.com/astroML/astroML,BSD-2-Clause,2012-10-17 22:33:50.000,2023-06-16 13:21:24.079000,2022-12-12 08:52:31,580.0,,285.0,95.0,120.0,62.0,95.0,964.0,"Machine learning, statistics, and data mining for astronomy and astrophysics.",30.0,22,True,2022-01-25 21:56:31.000,1.0.2,13.0,astroML,conda-forge/astroml,,,['sklearn'],36.0,,https://pypi.org/project/astroML,919.0,1471.0,https://anaconda.org/conda-forge/astroml,2023-06-16 13:21:24.079,41428.0,,,,,3.0,,2022-03-01 20:02:01.000,36.0,,,,,,,,,,,,,,,,,,, +654,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 20:26:10.000,2023-10-11 00:13:45.000000,2023-04-27 23:44:02,329.0,,155.0,29.0,108.0,80.0,56.0,853.0,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,,,,5.0,,https://pypi.org/project/witwidget,4895.0,57073.0,https://anaconda.org/conda-forge/tensorboard-plugin-wit,2023-06-16 19:20:28.498,2096634.0,,,,,3.0,,2021-10-12 17:42:30.000,4.0,,wit-widget,https://www.npmjs.com/package/wit-widget,1041.0,,2021-10-12 17:42:50.869,1.0,,,,,,,,,,,, +655,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,,73.0,6.0,5.0,4.0,23.0,801.0,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'],390.0,378.0,https://pypi.org/project/iterative-stratification,87550.0,87550.0,,,,,,,,3.0,,2021-10-03 18:49:49.000,12.0,,,,,,,,,,,,,,,,,,, +656,Objax,google/objax,ml-frameworks,,https://github.com/google/objax,https://github.com/google/objax,Apache-2.0,2020-08-20 06:20:40.000,2023-11-06 22:17:29.000000,2023-11-06 22:11:24,461.0,12.0,72.0,25.0,160.0,40.0,62.0,745.0,,26.0,22,False,2023-11-06 22:17:30.000,1.8.0,9.0,objax,,,,['jax'],41.0,41.0,https://pypi.org/project/objax,772.0,772.0,,,,,,,,3.0,,,,-2.0,,,,,,,,,,,,,,,,,, +657,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,,74.0,26.0,37.0,25.0,21.0,736.0,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,,,,,23.0,,https://pypi.org/project/test_tube,102227.0,102227.0,,,,,,,,3.0,18.0,2019-12-01 01:19:50.000,23.0,,,,,,,,,,,,,,,,,,, +658,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,,144.0,25.0,19.0,26.0,5.0,729.0,Package for interpreting scikit-learns decision tree and random forest predictions.,11.0,22,False,2021-01-10 20:12:39.000,0.2.3,5.0,treeinterpreter,conda-forge/treeinterpreter,,,['sklearn'],568.0,555.0,https://pypi.org/project/treeinterpreter,88823.0,88980.0,https://anaconda.org/conda-forge/treeinterpreter,2023-06-16 19:22:55.011,5828.0,,,,,3.0,,2021-01-10 20:12:39.000,13.0,,,,,,,,,,,,,,,,,,, +659,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,,38.0,679.0,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,,,,360.0,354.0,https://pypi.org/project/vecstack,20783.0,20843.0,https://anaconda.org/conda-forge/vecstack,2023-06-16 19:26:00.374,1825.0,,,,,3.0,,2019-08-12 16:01:22.000,6.0,,,,,,,,,,,,,,,,,,, +660,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,,105.0,30.0,1.0,13.0,3.0,629.0,(AAAI 20) A Python Toolbox for Machine Learning Model Combination.,2.0,22,True,2022-04-02 16:20:07.000,0.1.3,13.0,combo,,,,"['sklearn', 'xgboost']",591.0,586.0,https://pypi.org/project/combo,75682.0,75682.0,,,,,,,,3.0,,2022-04-02 16:20:07.000,5.0,,,,,,,,,,,,,,,,,,, +661,Merlin,NVIDIA-Merlin/Merlin,gpu-utilities,,https://github.com/NVIDIA-Merlin/Merlin,https://github.com/NVIDIA-Merlin/Merlin,Apache-2.0,2021-03-30 23:35:26.000,2023-10-26 00:50:15.000000,2023-10-10 03:38:42,486.0,13.0,93.0,31.0,548.0,197.0,241.0,622.0,"NVIDIA Merlin is an open source library providing end-to-end GPU-accelerated recommender systems, from feature..",32.0,22,True,2023-09-26 13:51:42.000,23.09.00,16.0,merlin-core,,,,,1.0,,https://pypi.org/project/merlin-core,5414.0,5414.0,,,,,,,,3.0,,2023-08-29 16:27:32.000,1.0,,,,,,,,,,,,,,,,,,, +662,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,,112.0,27.0,23.0,57.0,35.0,589.0,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,,,,408.0,386.0,https://pypi.org/project/hpbandster,29103.0,29588.0,https://anaconda.org/conda-forge/hpbandster,2023-06-16 19:24:00.330,16996.0,,,,,3.0,,2018-11-06 12:56:55.000,22.0,,,,,,,,,,,,,,,,,,, +663,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 19:20:13.000,2021-01-30 21:50:08.000000,2021-01-30 21:50:02,249.0,,129.0,23.0,18.0,8.0,29.0,577.0,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'],140.0,135.0,https://pypi.org/project/rfpimp,24429.0,24429.0,,,,,,,,3.0,,2021-01-28 23:19:33.000,5.0,,,,,,,,,,,,,,,,,,, +664,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 13:42:47.000,2023-02-14 11:18:28.000000,2023-02-14 11:18:28,249.0,,87.0,26.0,31.0,28.0,6.0,564.0,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'],338.0,331.0,https://pypi.org/project/skope-rules,68177.0,68177.0,,,,,,,,3.0,,2020-01-25 12:01:37.000,7.0,,,,,,,,,,,,,,,,,,, +665,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 10:59:08.000,2023-10-29 16:11:32.000000,2023-03-05 00:16:57,419.0,,96.0,35.0,276.0,69.0,172.0,442.0,"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,,,,,73.0,71.0,https://pypi.org/project/tick,1506.0,1509.0,,,,,,,,3.0,292.0,2020-05-24 22:01:17.000,2.0,,,,,,,,,,,,,,,,,,, +666,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 15:04:58.000,2023-11-15 14:52:53.000000,2023-11-15 10:53:14,1630.0,69.0,57.0,6.0,187.0,39.0,76.0,433.0,Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations.,19.0,22,False,2023-10-26 16:26:46.000,0.4.4,22.0,quantus,,,,,20.0,19.0,https://pypi.org/project/quantus,666.0,672.0,,,,,,,,3.0,138.0,2023-10-26 16:26:46.000,1.0,,,,,,,,,,,,,,,,,,, +667,lightwood,mindsdb/lightwood,hyperopt,,https://github.com/mindsdb/lightwood,https://github.com/mindsdb/lightwood,GPL-3.0,2019-05-20 21:31:14.000,2023-10-30 18:32:50.000000,2023-10-30 18:24:00,5579.0,31.0,89.0,15.0,734.0,29.0,425.0,387.0,Lightwood is Legos for Machine Learning.,42.0,22,False,2023-08-07 15:55:40.000,23.8.1.0,201.0,lightwood,,,,['pytorch'],2.0,,https://pypi.org/project/lightwood,8116.0,8116.0,,,,,,,,3.0,,2023-10-26 23:00:08.000,2.0,,,,,,,,,,,,,,,,,,, +668,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,,26.0,7.0,18.0,3.0,9.0,152.0,Get list of common stop words in various languages in Python.,8.0,22,False,2018-07-23 20:58:34.000,2018.7.23,7.0,stop-words,,,,,2030.0,2030.0,https://pypi.org/project/stop-words,105672.0,105672.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +669,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,,540.0,168.0,45.0,37.0,28.0,4107.0,High-performance TensorFlow library for quantitative finance.,47.0,21,True,,,30.0,tf-quant-finance,,,,['tensorflow'],2.0,,https://pypi.org/project/tf-quant-finance,469.0,469.0,,,,,,,,3.0,,2022-08-19 12:40:54.257,2.0,,,,,,,,,,,,,,,,,,, +670,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,,475.0,87.0,180.0,108.0,161.0,3511.0,A high performance and generic framework for distributed DNN training.,21.0,21,False,2020-08-27 15:42:13.000,0.2.4,8.0,byteps,,bytepsimage/tensorflow,,,,,https://pypi.org/project/byteps,73.0,97.0,,,,https://hub.docker.com/r/bytepsimage/tensorflow,2020-03-03 02:33:23.358610,,1315.0,3.0,,2021-08-02 17:37:42.000,,,,,,,,,,,,,,,,,,,, +671,finmarketpy,cuemacro/finmarketpy,financial-data,,https://github.com/cuemacro/finmarketpy,https://github.com/cuemacro/finmarketpy,Apache-2.0,2015-02-19 23:32:03.000,2023-04-26 19:35:05.000000,2023-04-26 19:32:49,683.0,,482.0,216.0,16.0,24.0,4.0,3224.0,Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians).,14.0,21,True,2023-04-26 19:36:36.846,0.11.12,13.0,finmarketpy,,,,,11.0,11.0,https://pypi.org/project/finmarketpy,182.0,182.0,,,,,,,,3.0,47.0,2021-10-07 14:58:03.000,,,,,,,,,,,,,,,,,,,, +672,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,,442.0,168.0,120.0,14.0,112.0,2920.0,A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language..,38.0,21,True,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,182.0,182.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +673,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,,322.0,101.0,1000.0,87.0,260.0,2816.0,"StreamAlert is a serverless, realtime data analysis framework which empowers you to ingest, analyze, and alert on data..",33.0,21,False,2021-11-04 19:07:51.000,3.5.0,28.0,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +674,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,,360.0,86.0,4.0,3.0,18.0,2119.0,A set of tools for extracting tables from PDF files helping to do data mining on (OCR-processed) scanned documents.,3.0,21,False,2018-01-09 08:00:24.000,0.3.0,5.0,pdftabextract,,,,,49.0,48.0,https://pypi.org/project/pdftabextract,869.0,869.0,,,,,,,,3.0,,2018-01-09 08:00:24.000,1.0,,,,,,,,,,,,,,,,,,, +675,fast-bert,utterworks/fast-bert,nlp,,https://github.com/utterworks/fast-bert,https://github.com/utterworks/fast-bert,Apache-2.0,2019-04-18 22:01:20.000,2023-07-27 13:04:15.000000,2023-07-27 13:04:12,336.0,,333.0,42.0,68.0,153.0,95.0,1823.0,Super easy library for BERT based NLP models.,36.0,21,True,2020-07-09 12:05:40.000,1.8.0,5.0,fast-bert,,,,,,,https://pypi.org/project/fast-bert,1294.0,1294.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +676,ecco,jalammar/ecco,interpretability,,https://github.com/jalammar/ecco,https://github.com/jalammar/ecco,BSD-3-Clause,2020-11-07 10:06:34.000,2023-09-01 04:00:40.000000,2023-08-10 17:09:47,309.0,,144.0,24.0,30.0,26.0,31.0,1811.0,"Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter..",11.0,21,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,414.0,597.0,https://anaconda.org/conda-forge/ecco,2023-06-16 19:28:19.211,4206.0,,,,,3.0,67.0,2022-01-09 21:14:50.000,1.0,,,,,,,,,,,,,,,,,,, +677,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,,194.0,30.0,423.0,11.0,163.0,1634.0,Graph4nlp is the library for the easy use of Graph Neural Networks for NLP. Welcome to visit our DLG4NLP website..,29.0,21,True,2022-01-20 18:07:32.000,0.5.5,12.0,graph4nlp,,,,['pytorch'],,,https://pypi.org/project/graph4nlp,89.0,89.0,,,,,,,,3.0,,2022-01-20 15:18:44.000,,,,,,,,,,,,,,,,,,,, +678,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,,203.0,38.0,6.0,14.0,33.0,1630.0,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'],51.0,45.0,https://pypi.org/project/antialiased-cnns,2343.0,2343.0,,,,,,,,3.0,,2020-10-23 22:42:49.000,6.0,,,,,,,,,,,,,,,,,,, +679,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,,275.0,74.0,728.0,13.0,64.0,1564.0,An end-to-end PyTorch framework for image and video classification.,77.0,21,True,2023-03-21 05:24:19.000,0.7.0,7.0,classy_vision,conda-forge/classy_vision,,,['pytorch'],,,https://pypi.org/project/classy_vision,1029.0,1432.0,https://anaconda.org/conda-forge/classy_vision,2023-06-16 19:17:34.578,18557.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +680,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,,295.0,67.0,201.0,5.0,74.0,1562.0,DELTA is a deep learning based natural language and speech processing platform.,41.0,21,False,2020-07-16 09:31:45.000,0.3.3,4.0,delta-nlp,,zh794390558/delta,,['tensorflow'],,,https://pypi.org/project/delta-nlp,29.0,271.0,,,,https://hub.docker.com/r/zh794390558/delta,2021-08-03 14:50:00.516864,,13111.0,3.0,,2020-03-27 04:46:19.000,,,,,,,,,,,,,,,,,,,, +681,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,,359.0,62.0,47.0,37.0,72.0,1476.0,"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,182.0,182.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +682,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,,271.0,68.0,51.0,23.0,75.0,1450.0,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,605.0,605.0,,,,,,,,3.0,,2020-08-25 09:32:37.000,,,,,,,,,,,,,,,,,,,, +683,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,,220.0,65.0,48.0,36.0,90.0,1244.0,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'],36.0,33.0,https://pypi.org/project/tensorrec,217.0,217.0,,,,,,,,3.0,,2019-04-02 00:53:47.000,3.0,,,,,,,,,,,,,,,,,,, +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,,217.0,66.0,29.0,31.0,12.0,1129.0,Anomaly Detection and Correlation library.,9.0,21,True,2016-01-20 01:01:44.000,0.3.1,5.0,luminol,,,,,91.0,76.0,https://pypi.org/project/luminol,7570.0,7570.0,,,,,,,,3.0,,2017-12-11 06:04:15.000,15.0,,,,,,,,,,,,,,,,,,, +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,,145.0,97.0,117.0,33.0,45.0,1093.0,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,,,,,95.0,94.0,https://pypi.org/project/pfrl,467.0,467.0,,,,,,,,3.0,,2023-07-16 15:34:00.704,1.0,,,,,,,,,,,,,,,,,,, +686,fastFM,ibayer/fastFM,recommender-systems,,https://github.com/ibayer/fastFM,https://github.com/ibayer/fastFM,BSD-3-Clause,2014-10-27 12:25:51.000,2022-07-17 13:12:39.000000,2021-03-24 12:22:31,297.0,,208.0,28.0,61.0,54.0,60.0,1054.0,fastFM: A Library for Factorization Machines.,20.0,21,False,2017-11-23 06:59:56.000,0.2.11,10.0,fastfm,,,,,125.0,115.0,https://pypi.org/project/fastfm,416.0,421.0,,,,,,,,3.0,583.0,2017-11-23 06:59:56.000,10.0,,,,,,,,,,,,,,,,,,, +687,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,,184.0,52.0,12.0,16.0,42.0,1010.0,High level network definitions with pre-trained weights in TensorFlow.,6.0,21,False,2020-03-31 04:38:27.000,0.4.6,12.0,tensornets,,,,['tensorflow'],77.0,73.0,https://pypi.org/project/tensornets,164.0,164.0,,,,,,,,3.0,,2020-03-31 04:35:15.000,4.0,,,,,,,,,,,,,,,,,,, +688,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,,166.0,57.0,14.0,30.0,19.0,1009.0,python toolbox for visualizing geographical data and making maps.,8.0,21,False,2016-07-27 14:55:01.000,0.3.2,4.0,geoplotlib,conda-forge/geoplotlib,,,,175.0,163.0,https://pypi.org/project/geoplotlib,1022.0,1283.0,https://anaconda.org/conda-forge/geoplotlib,2023-06-16 19:26:09.140,7830.0,,,,,3.0,,2016-07-27 14:55:01.000,12.0,,,,,,,,,,,,,,,,,,, +689,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 17:48:54,207.0,2.0,244.0,47.0,46.0,26.0,127.0,959.0,A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and..,28.0,21,True,2020-10-12 06:56:40.000,0.7.6,2.0,aocr,,,,['tensorflow'],27.0,27.0,https://pypi.org/project/aocr,229.0,229.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +690,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,,133.0,36.0,16.0,8.0,3.0,921.0,Nudity detection with Python.,12.0,21,False,2020-11-23 13:49:17.000,0.5.1,10.0,nudepy,,,,,3570.0,3558.0,https://pypi.org/project/nudepy,1444.0,1444.0,,,,,,,,3.0,,2020-11-23 13:49:17.000,12.0,,,,,,,,,,,,,,,,,,, +691,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,,181.0,24.0,58.0,9.0,27.0,911.0,"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'],74.0,70.0,https://pypi.org/project/saliency,3491.0,3491.0,,,,,,,,3.0,,2022-06-14 18:11:08.000,4.0,,,,,,,,,,,,,,,,,,, +692,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,,127.0,17.0,24.0,26.0,39.0,788.0,python partial dependence plot toolbox.,7.0,21,True,2023-06-05 02:53:01.145,0.3.0,4.0,pdpbox,conda-forge/pdpbox,,,,26.0,,https://pypi.org/project/pdpbox,23797.0,24171.0,https://anaconda.org/conda-forge/pdpbox,2023-06-10 14:57:37.569,19455.0,,,,,3.0,,2021-03-14 16:21:17.000,26.0,,,,,,,,,,,,,,,,,,, +693,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,,152.0,38.0,46.0,40.0,49.0,767.0,Public facing deeplift repo.,11.0,21,False,2018-07-13 21:11:52.000,0.6.6,21.0,deeplift,,,,,93.0,85.0,https://pypi.org/project/deeplift,407.0,407.0,,,,,,,,3.0,,2020-11-11 09:32:57.000,8.0,,,,,,,,,,,,,,,,,,, +694,NeoML,neoml-lib/neoml,ml-frameworks,,https://github.com/neoml-lib/neoml,https://github.com/neoml-lib/neoml,Apache-2.0,2020-06-14 17:37:36.000,2023-11-15 15:16:09.000000,2023-11-01 21:50:22,1114.0,76.0,120.0,32.0,930.0,15.0,50.0,744.0,Machine learning framework for both deep learning and traditional algorithms.,34.0,21,True,2021-06-22 05:25:53.000,NeoML-master_2.0.5.0,2.0,neoml,,,,,,,https://pypi.org/project/neoml,911.0,911.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +695,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 06:49:30,294.0,3.0,58.0,24.0,47.0,10.0,17.0,713.0,EvoJAX: Hardware-accelerated Neuroevolution.,14.0,21,True,2023-08-29 06:52:02.000,0.2.16,22.0,evojax,conda-forge/evojax,,,['jax'],17.0,15.0,https://pypi.org/project/evojax,592.0,1626.0,https://anaconda.org/conda-forge/evojax,2023-08-29 10:08:55.843,21720.0,,,,,3.0,,2023-08-29 06:52:02.000,2.0,,,,,,,,,,,,,,,,,,, +696,finetune,IndicoDataSolutions/finetune,nlp,,https://github.com/IndicoDataSolutions/finetune,https://github.com/IndicoDataSolutions/finetune,MPL-2.0,2018-06-12 17:02:16.000,2023-10-17 14:50:13.000000,2023-10-17 14:50:08,1502.0,4.0,77.0,36.0,644.0,22.0,118.0,693.0,Scikit-learn style model finetuning for NLP.,21.0,21,True,2019-01-18 20:10:51.000,0.5.14,15.0,finetune,,,,"['tensorflow', 'sklearn']",11.0,11.0,https://pypi.org/project/finetune,138.0,138.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +697,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,,57.0,19.0,216.0,49.0,301.0,585.0,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,,,,,56.0,55.0,https://pypi.org/project/neuraxle,314.0,314.0,,,,,,,,3.0,,2022-08-16 19:50:37.507,1.0,,,,,,,,,,,,,,,,,,, +698,aequitas,dssg/aequitas,interpretability,,https://github.com/dssg/aequitas,https://github.com/dssg/aequitas,MIT,2018-02-13 19:40:30.000,2023-11-16 09:44:05.000000,2023-08-20 23:36:18,861.0,1.0,98.0,44.0,70.0,48.0,23.0,583.0,Bias and Fairness Audit Toolkit.,18.0,21,True,2020-12-16 11:48:14.000,0.42.0,16.0,aequitas,,,,,148.0,142.0,https://pypi.org/project/aequitas,1569.0,1569.0,,,,,,,,3.0,,2020-12-16 11:48:14.000,6.0,,,,,,,,,,,,,,,,,,, +699,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,,64.0,30.0,31.0,5.0,24.0,556.0,Python module for machine learning time series:.,14.0,21,False,2022-08-27 09:04:02.113,1.2.5,24.0,seglearn,,,,,48.0,46.0,https://pypi.org/project/seglearn,1316.0,1316.0,,,,,,,,3.0,,2021-03-13 16:18:30.000,2.0,,,,,,,,,,,,,,,,,,, +700,recmetrics,statisticianinstilettos/recmetrics,recommender-systems,,https://github.com/statisticianinstilettos/recmetrics,https://github.com/statisticianinstilettos/recmetrics,MIT,2018-10-15 15:29:49.000,2023-10-17 21:02:47.000000,2023-10-04 12:31:54,297.0,5.0,97.0,15.0,49.0,13.0,15.0,536.0,A library of metrics for evaluating recommender systems.,20.0,21,True,2022-04-26 18:03:18.000,0.1.5,20.0,recmetrics,,,,,46.0,46.0,https://pypi.org/project/recmetrics,10996.0,10996.0,,,,,,,,3.0,5.0,2022-04-26 17:57:01.000,,,,,,,,,,,,,,,,,,,, +701,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 03:23:44,413.0,3.0,53.0,60.0,9.0,21.0,24.0,506.0,Python library assists deep learning on graphs.,18.0,21,True,2021-09-05 23:08:21.000,0.2.1,5.0,deepsnap,,,,,72.0,71.0,https://pypi.org/project/deepsnap,432.0,432.0,,,,,,,,3.0,10.0,2021-09-05 22:57:16.000,1.0,,,,,,,,,,,,,,,,,,, +702,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,,52.0,11.0,20.0,11.0,37.0,504.0,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,,,,329.0,320.0,https://pypi.org/project/joypy,14304.0,14718.0,https://anaconda.org/conda-forge/joypy,2023-06-16 16:14:43.440,23199.0,,,,,3.0,,2021-12-19 09:42:50.000,9.0,,,,,,,,,,,,,,,,,,, +703,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 08:06:41.000,2023-11-15 13:41:57.000000,2023-11-15 13:01:50,447.0,8.0,53.0,25.0,7.0,11.0,32.0,503.0,Active Learning for Text Classification in Python.,4.0,21,True,2023-08-19 18:16:36.000,1.3.2,19.0,small-text,conda-forge/small-text,,,"['sklearn', 'pytorch']",24.0,24.0,https://pypi.org/project/small-text,558.0,858.0,https://anaconda.org/conda-forge/small-text,2023-08-19 18:38:17.816,4802.0,,,,,3.0,,2023-08-19 18:14:35.000,,,,,,,,,,,,,,,,,,,, +704,optunity,claesenm/optunity,hyperopt,,https://github.com/claesenm/optunity,https://github.com/claesenm/optunity,BSD-3-Clause,2014-05-28 17:29:11.000,2023-02-13 14:39:22.000000,2020-05-11 14:32:38,782.0,,78.0,24.0,11.0,48.0,49.0,412.0,optimization routines for hyperparameter tuning.,9.0,21,False,2015-09-30 05:02:00.000,1.1.1,6.0,optunity,,,,,120.0,106.0,https://pypi.org/project/optunity,4644.0,4644.0,,,,,,,,3.0,82.0,2015-09-30 05:02:00.000,14.0,,,,,,,,,,,,,,,,,,, +705,pykale,pykale/pykale,others,,https://github.com/pykale/pykale,https://github.com/pykale/pykale,MIT,2020-06-30 08:06:10.000,2023-11-15 16:24:08.000000,2023-11-15 15:18:44,2753.0,106.0,60.0,12.0,249.0,9.0,106.0,407.0,Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary..,22.0,21,True,2023-07-13 11:41:03.541,0.1.2,12.0,pykale,,,,['pytorch'],1.0,1.0,https://pypi.org/project/pykale,85.0,85.0,,,,,,,,3.0,,2022-04-12 08:56:50.000,,,,,,,,,,,,,,,,,,,, +706,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 17:29:29,2412.0,2.0,52.0,24.0,231.0,57.0,195.0,376.0,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,405.0,405.0,,,,,,,,3.0,,2021-09-14 22:55:51.000,,,,,,,,,,,,,,,,,,,, +707,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,,60.0,27.0,110.0,32.0,184.0,358.0,scalable audio processing framework and server written in Python.,22.0,21,False,2023-01-03 17:34:09.000,1.1.3,27.0,TimeSide,,,,,30.0,16.0,https://pypi.org/project/TimeSide,98.0,98.0,,,,,,,,3.0,,2020-11-27 09:33:19.000,14.0,,,,,,,,yomguy/TimeSide,,,,,,,,,,, +708,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,,47.0,10.0,37.0,28.0,37.0,341.0,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,,,,,210.0,206.0,https://pypi.org/project/impyute,5653.0,5653.0,,,,,,,,3.0,,2017-05-31 08:31:47.000,4.0,,,,,,,,,,,,,,,,,,, +709,PipelineDP,OpenMined/PipelineDP,privacy-ml,,https://github.com/OpenMined/PipelineDP,https://github.com/OpenMined/PipelineDP,Apache-2.0,2021-02-10 18:04:22.000,2023-11-16 12:59:07.000000,2023-11-03 14:38:12,407.0,18.0,74.0,23.0,424.0,28.0,51.0,262.0,PipelineDP is a Python framework for applying differentially private aggregations to large datasets using batch..,31.0,21,False,2023-10-25 10:51:36.000,0.2.1,22.0,pipeline-dp,,,,,1.0,1.0,https://pypi.org/project/pipeline-dp,336.0,336.0,,,,,,,,3.0,,2023-11-03 14:40:26.000,,,,,,,,,,,,,,,,,,,, +710,somoclu,peterwittek/somoclu,distributed-ml,,https://github.com/peterwittek/somoclu,https://github.com/peterwittek/somoclu,MIT,2013-01-16 06:33:16.000,2023-10-13 23:30:32.439000,2022-09-26 07:14:12,621.0,,67.0,27.0,29.0,30.0,113.0,254.0,"Massively parallel self-organizing maps: accelerate training on multicore CPUs, GPUs, and clusters.",19.0,21,False,2023-02-18 02:51:08.166,1.7.6,18.0,somoclu,conda-forge/somoclu,,,,12.0,,https://pypi.org/project/somoclu,2061.0,4302.0,https://anaconda.org/conda-forge/somoclu,2023-10-13 23:30:32.439,82323.0,,,,,3.0,1812.0,2023-02-18 02:51:08.166,12.0,,,,,,,,,,,,,,,,,,, +711,upgini,upgini/upgini,tabular,,https://github.com/upgini/upgini,https://github.com/upgini/upgini,BSD-3-Clause,2021-12-08 21:53:58.000,2023-11-16 13:45:35.000000,2023-11-15 19:08:16,647.0,49.0,21.0,4.0,251.0,4.0,,254.0,Data search & enrichment library for Machine Learning Easily find and add relevant features to your ML pipeline from..,11.0,21,False,2023-11-15 18:02:35.000,1.1.223,516.0,upgini,,,,,4.0,4.0,https://pypi.org/project/upgini,3033.0,3033.0,,,,,,,,2.0,,2023-11-15 18:02:35.000,,,,,,,,,,,,,,,,,,,, +712,Glow,projectglow/glow,medical-data,,https://github.com/projectglow/glow,https://github.com/projectglow/glow,Apache-2.0,2019-10-04 21:26:47.000,2023-10-31 23:55:05.000000,2023-01-26 17:04:18,400.0,,99.0,19.0,387.0,65.0,86.0,244.0,An open-source toolkit for large-scale genomic analysis.,24.0,21,False,2022-04-21 00:32:28.000,1.2.1,15.0,glow.py,conda-forge/glow,,,,,,https://pypi.org/project/glow.py,60598.0,60711.0,https://anaconda.org/conda-forge/glow,2023-06-16 19:24:57.965,3729.0,,,,,3.0,,2022-04-19 23:43:38.000,,,,,,,,,,,,,,,,,,,, +713,PySlowFast,facebookresearch/SlowFast,image,,https://github.com/facebookresearch/SlowFast,https://github.com/facebookresearch/SlowFast,Apache-2.0,2019-08-20 22:47:26.000,2023-10-19 02:22:22.000000,2023-10-19 02:11:57,190.0,2.0,1142.0,99.0,47.0,363.0,277.0,5991.0,PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.,31.0,20,True,,,1.0,pyslowfast,,,,['pytorch'],15.0,15.0,https://pypi.org/project/pyslowfast,14.0,14.0,,,,,,,,3.0,,2020-01-15 23:51:07.000,,,,,,,,,,,,,,,,,,,, +714,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 07:47:36,119.0,3.0,357.0,98.0,16.0,53.0,17.0,3338.0,"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,,,,,138.0,131.0,https://pypi.org/project/tensorwatch,619.0,619.0,,,,,,,,3.0,,2020-03-04 07:26:22.000,7.0,,,,,,,,,,,,,,,,,,, +715,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,,168.0,66.0,54.0,6.0,44.0,3073.0,"a delightful machine learning tool that allows you to train, test, and use models without writing code.",20.0,20,True,2021-11-19 16:51:47.000,1.0.0,34.0,igel,,,,,4.0,4.0,https://pypi.org/project/igel,249.0,250.0,,,,,,,,3.0,40.0,2021-11-19 16:45:29.543,,,,,,,,,,,,,,,,,,,, +716,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,,309.0,60.0,242.0,173.0,109.0,2977.0,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,1732.0,1746.0,,,,,,,,3.0,671.0,2022-11-03 06:46:55.989,2.0,,,,,,,,,,,,,,,,,,, +717,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,,327.0,75.0,2.0,18.0,7.0,2900.0,An optimizer that trains as fast as Adam and as good as SGD.,2.0,20,False,2019-03-06 16:44:42.000,0.0.5,4.0,adabound,,,,['pytorch'],190.0,182.0,https://pypi.org/project/adabound,1379.0,1379.0,,,,,,,,3.0,,2019-02-26 04:23:45.000,8.0,,,,,,,,,,,,,,,,,,, +718,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,,398.0,101.0,54.0,64.0,48.0,2899.0,Quickly search over billions of images.,19.0,20,True,2017-02-13 14:54:48.000,1.1.2,10.0,image_match,,,,,4.0,,https://pypi.org/project/image_match,630.0,630.0,,,,,,,,3.0,,2017-02-13 14:54:48.000,4.0,,,,,,,,rhsimplex/image-match,,,,,,,,,,, +719,pytorchviz,szagoruyko/pytorchviz,pytorch-utils,,https://github.com/szagoruyko/pytorchviz,https://github.com/szagoruyko/pytorchviz,MIT,2018-01-30 15:37:55.000,2023-10-11 16:38:54.000000,2021-06-15 18:41:51,22.0,,259.0,33.0,19.0,27.0,37.0,2834.0,A small package to create visualizations of PyTorch execution graphs.,6.0,20,False,,,,,,,,,1423.0,1423.0,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +720,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,,827.0,87.0,30.0,45.0,80.0,2598.0,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,899.0,899.0,,,,,,,,3.0,,2018-04-29 21:05:18.000,7.0,,,,,,,,,,,,,,,,,,, +721,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,,448.0,128.0,225.0,87.0,183.0,2272.0,Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning..,38.0,20,True,2019-10-10 14:17:10.000,1.0.1,13.0,rl_coach,,,,,2.0,,https://pypi.org/project/rl_coach,122.0,122.0,,,,,,,,3.0,,2019-10-10 14:17:10.000,2.0,,,,,,,,,,,,,,,,,,, +722,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,,252.0,54.0,35.0,14.0,105.0,1984.0,"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,3754.0,3754.0,,,,,,,,3.0,,2021-11-06 23:09:00.000,,,,,,,,,,,,,,,,,,,, +723,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,,175.0,55.0,895.0,129.0,586.0,1864.0,"BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.",49.0,20,False,2021-08-16 15:40:43.000,21.08.00,19.0,,blazingsql/blazingsql-protocol,,,,,,,,20.0,https://anaconda.org/blazingsql/blazingsql-protocol,2023-06-16 16:17:31.557,1019.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +724,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,,128.0,102.0,150.0,26.0,20.0,1548.0,Lore makes machine learning approachable for Software Engineers and maintainable for Machine Learning Researchers.,29.0,20,False,2022-02-02 23:30:10.000,0.8.5,232.0,lore,,,,,21.0,20.0,https://pypi.org/project/lore,934.0,934.0,,,,,,,,3.0,,2022-02-02 23:30:10.000,1.0,,,,,,,,,,,,,,,,,,, +725,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,,157.0,46.0,3.0,13.0,15.0,1532.0,"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'],17.0,17.0,https://pypi.org/project/lambda-networks,2967.0,2967.0,,,,,,,,3.0,,2020-11-18 08:19:23.000,,,,,,,,,,,,,,,,,,,, +726,ThunderSVM,Xtra-Computing/thundersvm,ml-frameworks,,https://github.com/Xtra-Computing/thundersvm,https://github.com/Xtra-Computing/thundersvm,Apache-2.0,2014-12-11 04:24:04.000,2023-09-15 04:35:29.000000,2023-09-15 04:35:29,906.0,1.0,206.0,57.0,52.0,71.0,148.0,1508.0,ThunderSVM: A Fast SVM Library on GPUs and CPUs.,35.0,20,True,2020-03-13 12:36:30.000,0.3.12,9.0,thundersvm,,,,,,,https://pypi.org/project/thundersvm,356.0,388.0,,,,,,,,3.0,2712.0,2020-03-13 12:36:30.000,,,,,,,,,,,,,,,,,,,, +727,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,,401.0,102.0,36.0,11.0,24.0,1403.0,Deep Learning Toolkit for Medical Image Analysis.,9.0,20,False,2018-02-26 17:43:57.000,0.2.1,5.0,dltk,,,,['tensorflow'],31.0,31.0,https://pypi.org/project/dltk,106.0,106.0,,,,,,,,3.0,,2018-02-26 17:43:57.000,,,,,,,,,,,,,,,,,,,, +728,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,,77.0,39.0,14.0,12.0,26.0,1241.0,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'],115.0,109.0,https://pypi.org/project/jraph,6302.0,6458.0,https://anaconda.org/conda-forge/jraph,2023-06-16 19:27:46.249,3921.0,,,,,3.0,,2022-08-12 15:25:29.659,6.0,,,,,,,,google-deepmind/jraph,,,,,,,,,,, +729,pytorch_tabular,manujosephv/pytorch_tabular,tabular,,https://github.com/manujosephv/pytorch_tabular,https://github.com/manujosephv/pytorch_tabular,MIT,2020-12-15 07:17:03.000,2023-11-16 03:34:47.000000,2023-11-16 00:38:18,470.0,20.0,113.0,19.0,175.0,13.0,104.0,1068.0,A standard framework for modelling Deep Learning Models for tabular data.,16.0,20,True,2023-06-01 06:16:39.000,1.0.2,11.0,pytorch_tabular,,,,['pytorch'],2.0,,https://pypi.org/project/pytorch_tabular,4194.0,4194.0,,,,,,,,3.0,21.0,2021-09-01 11:51:30.000,2.0,,,,,,,,,,,,,,,,,,, +730,ADTK,arundo/adtk,time-series-data,,https://github.com/arundo/adtk,https://github.com/arundo/adtk,MPL-2.0,2019-09-27 00:34:22.000,2023-09-12 16:10:40.000000,2020-04-17 02:27:44,79.0,,130.0,27.0,74.0,42.0,36.0,979.0,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,266430.0,266603.0,https://anaconda.org/conda-forge/adtk,2023-06-16 19:18:16.533,7646.0,,,,,3.0,,2020-04-17 02:18:00.000,2.0,,,,,,,,,,,,,,,,,,, +731,AlphaPy,ScottfreeLLC/AlphaPy,hyperopt,,https://github.com/ScottfreeLLC/AlphaPy,https://github.com/ScottfreeLLC/AlphaPy,Apache-2.0,2016-02-14 00:47:32.000,2023-11-05 18:48:57.000000,2023-11-05 18:48:57,429.0,6.0,180.0,62.0,7.0,13.0,29.0,978.0,"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,191.0,191.0,,,,,,,,3.0,,2020-08-29 18:44:15.000,,,,,,,,,,,,,,,,,,,, +732,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 22:14:55,303.0,2.0,87.0,18.0,72.0,18.0,42.0,910.0,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,,,,,140.0,137.0,https://pypi.org/project/nnAudio,3447.0,3447.0,,,,,,,,3.0,,2021-12-24 09:38:22.000,3.0,,,,,,,,,,,,,,,,,,, +733,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,,159.0,76.0,98.0,51.0,43.0,753.0,[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,25282.0,25282.0,,,,,,,,3.0,,2018-05-16 14:20:28.000,1.0,,,,,,,,,,,,,,,,,,, +734,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,,147.0,38.0,33.0,25.0,39.0,749.0,"Python framework for fast (approximated) nearest neighbour search in large, high-dimensional data sets using different..",20.0,20,True,2016-09-27 13:04:44.000,1.0.0,8.0,NearPy,,,,,110.0,94.0,https://pypi.org/project/NearPy,772.0,772.0,,,,,,,,3.0,,2016-09-27 13:03:12.000,16.0,,,,,,,,,,,,,,,,,,, +735,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,,127.0,30.0,28.0,21.0,34.0,742.0,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,748.0,748.0,,,,,,,,3.0,,2021-07-30 15:13:54.000,2.0,,,,,,,,,,,,,,,,,,, +736,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,,52.0,30.0,12.0,11.0,15.0,625.0,Log TensorBoard events without touching TensorFlow.,5.0,20,False,2018-02-08 07:28:51.000,0.1.0,5.0,tensorboard_logger,,,,,212.0,160.0,https://pypi.org/project/tensorboard_logger,5544.0,5544.0,,,,,,,,3.0,,2018-02-08 07:28:51.000,52.0,,,,,,,,,,,,,,,,,,, +737,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,,105.0,24.0,25.0,43.0,61.0,605.0,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'],154.0,152.0,https://pypi.org/project/detecto,1840.0,1955.0,https://anaconda.org/conda-forge/detecto,2023-06-16 19:26:16.964,3353.0,,,,,3.0,,2022-02-02 00:12:06.000,2.0,,,,,,,,,,,,,,,,,,, +738,tcav,tensorflow/tcav,interpretability,,https://github.com/tensorflow/tcav,https://github.com/tensorflow/tcav,Apache-2.0,2018-07-03 17:45:35.000,2023-10-03 22:41:56.000000,2021-09-16 17:56:31,171.0,,143.0,35.0,80.0,14.0,55.0,595.0,Code for the TCAV ML interpretability project.,19.0,20,False,2021-02-23 16:17:42.000,0.2.2,4.0,tcav,,,,['tensorflow'],21.0,18.0,https://pypi.org/project/tcav,167.0,167.0,,,,,,,,3.0,,2021-02-23 16:17:42.000,3.0,,,,,,,,,,,,,,,,,,, +739,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,,103.0,10.0,14.0,5.0,16.0,564.0,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,,,,295.0,292.0,https://pypi.org/project/pywaffle,4321.0,4509.0,https://anaconda.org/conda-forge/pywaffle,2023-06-16 16:12:33.889,11128.0,,,,,3.0,,2022-06-08 03:10:36.000,3.0,,,,,,,,,,,,,,,,,,, +740,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,,62.0,18.0,111.0,8.0,48.0,555.0,A simplified framework and utilities for PyTorch.,20.0,20,False,2023-07-09 16:15:44.000,1.17.1,37.0,poutyne,,,,['pytorch'],132.0,127.0,https://pypi.org/project/poutyne,4436.0,4436.0,,,,,,,,3.0,,2022-04-28 20:18:33.000,5.0,,,,,,,,,,,,,,,,,,, +741,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,,164.0,56.0,20.0,39.0,60.0,535.0,Bayesian inference in HSMMs and HMMs.,13.0,20,False,2017-05-10 17:14:37.000,0.1.7,8.0,pyhsmm,,,,,32.0,27.0,https://pypi.org/project/pyhsmm,105.0,105.0,,,,,,,,3.0,,2017-05-10 17:14:37.000,5.0,,,,,,,,,,,,,,,,,,, +742,apricot,jmschrei/apricot,others,,https://github.com/jmschrei/apricot,https://github.com/jmschrei/apricot,MIT,2018-08-12 02:42:12.000,2023-09-06 11:08:57.000000,2021-11-18 21:06:54,172.0,,46.0,10.0,9.0,12.0,20.0,481.0,apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine..,4.0,20,False,2020-09-28 07:19:15.000,0.6.0,13.0,apricot-select,,,,,84.0,76.0,https://pypi.org/project/apricot-select,4643.0,4643.0,,,,,,,,3.0,27.0,2020-09-28 07:19:15.000,8.0,,,,,,,,,,,,,,,,,,, +743,Auto ViML,AutoViML/Auto_ViML,hyperopt,,https://github.com/AutoViML/Auto_ViML,https://github.com/AutoViML/Auto_ViML,Apache-2.0,2019-06-10 13:09:15.000,2023-05-21 22:48:24.000000,2023-05-21 22:12:32,319.0,,94.0,26.0,6.0,3.0,27.0,474.0,Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome...,8.0,20,True,2023-05-21 22:50:00.406,0.1.716,142.0,autoviml,,,,,25.0,23.0,https://pypi.org/project/autoviml,1321.0,1321.0,,,,,,,,3.0,,2022-06-01 23:08:15.000,2.0,,,,,,,,,,,,,,,,,,, +744,Popmon,ing-bank/popmon,data-viz,,https://github.com/ing-bank/popmon,https://github.com/ing-bank/popmon,MIT,2020-04-23 11:21:14.000,2023-08-01 17:51:43.000000,2023-07-18 10:24:07,542.0,,35.0,14.0,222.0,15.0,40.0,474.0,Monitor the stability of a Pandas or Spark dataframe.,17.0,20,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,6994.0,6996.0,,,,,,,,3.0,117.0,2023-07-18 10:32:00.587,2.0,,,,,,,,,,,,,,,,,,, +745,carefree-learn,carefree0910/carefree-learn,tabular,,https://github.com/carefree0910/carefree-learn,https://github.com/carefree0910/carefree-learn,MIT,2020-06-17 17:44:17.000,2023-11-16 08:01:11.000000,2023-11-16 07:54:34,4721.0,22.0,37.0,13.0,1.0,2.0,80.0,399.0,Deep Learning PyTorch.,1.0,20,True,2023-10-17 14:20:30.000,0.4.8,102.0,carefree-learn,,,,['pytorch'],4.0,4.0,https://pypi.org/project/carefree-learn,396.0,396.0,,,,,,,,3.0,,2023-10-17 14:20:30.000,,,,,,,,,,,,,,,,,,,, +746,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,,79.0,20.0,247.0,10.0,23.0,391.0,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,,,,,22.0,21.0,https://pypi.org/project/model-card-toolkit,1397.0,1397.0,,,,,,,,3.0,11.0,2022-04-28 16:34:21.000,1.0,,,,,,,,,,,,,,,,,,, +747,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,,69.0,25.0,48.0,15.0,19.0,388.0,"A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for..",13.0,20,False,2017-04-12 16:12:01.000,0.3.4,13.0,skrebate,conda-forge/skrebate,,,['sklearn'],46.0,,https://pypi.org/project/skrebate,3085.0,3538.0,https://anaconda.org/conda-forge/skrebate,2023-06-16 16:08:23.527,31753.0,,,,,3.0,,2021-03-20 17:11:52.000,46.0,,,,,,,,,,,,,,,,,,, +748,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,,26.0,10.0,9.0,2.0,9.0,378.0,Fast PyTorch based DSP for audio and 1D signals.,2.0,20,False,2022-09-20 06:43:57.063,0.2.7,11.0,julius,,,,['pytorch'],769.0,763.0,https://pypi.org/project/julius,173052.0,173052.0,,,,,,,,3.0,,2022-09-20 06:43:57.063,6.0,,,,,,,,,,,,,,,,,,, +749,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,,46.0,26.0,19.0,15.0,16.0,325.0,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'],231.0,224.0,https://pypi.org/project/mxboard,6356.0,6356.0,,,,,,,,3.0,,2018-05-22 20:25:51.000,7.0,,,,,,,,,,,,,,,,,,, +750,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 23:18:48,634.0,11.0,41.0,13.0,63.0,3.0,56.0,305.0,Dimensionality reduction in very large datasets using Siamese Networks.,10.0,20,True,2023-01-11 12:30:05.335,2.0.9,35.0,ivis,,,,['tensorflow'],33.0,31.0,https://pypi.org/project/ivis,207.0,207.0,,,,,,,,3.0,,2022-03-10 14:57:02.000,2.0,,,,,,,,,,,,,,,,,,, +751,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 08:22:26,367.0,2.0,33.0,18.0,6.0,18.0,21.0,302.0,Launchpad is a library that simplifies writing distributed programs and seamlessly launching them on a range of..,28.0,20,True,2022-04-28 06:23:38.000,0.5.2,9.0,dm-launchpad,,,,['tensorflow'],75.0,74.0,https://pypi.org/project/dm-launchpad,1936.0,1936.0,,,,,,,,3.0,,2022-04-28 06:23:38.000,1.0,,,,,,,,google-deepmind/launchpad,,,,,,,,,,, +752,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,259867.0,259867.0,,,,,,,,3.0,,2020-05-14 22:20:14.000,2.0,,,,,,,,,,,,,,,,,,, +753,vegafusion,vegafusion/vegafusion,data-viz,,https://github.com/hex-inc/vegafusion,https://github.com/hex-inc/vegafusion,BSD-3-Clause,2021-10-01 09:19:27.000,2023-11-15 12:18:27.000000,2023-11-15 12:10:21,611.0,25.0,10.0,21.0,294.0,40.0,72.0,276.0,Serverside scaling for Vega and Altair visualizations.,3.0,20,False,2023-11-06 23:13:36.000,1.4.3,59.0,vegafusion-jupyter,conda-forge/vegafusion-python-embed,,,,2.0,,https://pypi.org/project/vegafusion-jupyter,906.0,5808.0,https://anaconda.org/conda-forge/vegafusion-python-embed,2023-11-07 11:25:47.768,80719.0,,,,,3.0,4850.0,2023-11-06 22:50:56.000,1.0,,vegafusion-jupyter,https://www.npmjs.com/package/vegafusion-jupyter,647.0,,2023-11-06 23:02:07.430,1.0,hex-inc/vegafusion,,,,,,,,,,, +754,pyRDF2Vec,IBCNServices/pyRDF2Vec,graph,,https://github.com/IBCNServices/pyRDF2Vec,https://github.com/IBCNServices/pyRDF2Vec,MIT,2019-06-13 11:36:12.000,2023-11-02 06:42:36.000000,2023-07-02 18:02:16,1462.0,,44.0,14.0,151.0,17.0,62.0,230.0,Python Implementation and Extension of RDF2Vec.,7.0,20,False,2021-06-09 10:56:14.000,0.2.3,11.0,pyrdf2vec,,,,,37.0,35.0,https://pypi.org/project/pyrdf2vec,277.0,277.0,,,,,,,,3.0,,2021-06-09 10:56:14.000,2.0,,,,,,,,,,,,,,,,,,, +755,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 15:02:43.000,2023-10-18 07:16:12.000000,2023-10-18 07:16:11,576.0,2.0,33.0,25.0,629.0,21.0,127.0,229.0,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,1224.0,1245.0,,,,,,,,3.0,977.0,2023-08-10 10:30:37.000,,,,,,,,,,,,,,,,,,,, +756,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 15:02:54.000000,2018-12-08 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 15:02:54.000,0.4.6,12.0,pyfasttext,,,,,370.0,370.0,https://pypi.org/project/pyfasttext,1674.0,1678.0,,,,,,,,3.0,365.0,,,,,,,,,,,,,,,,,,,,, +757,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 18:34:42,577.0,2.0,19.0,20.0,464.0,90.0,76.0,225.0,Functional tensors for probabilistic programming.,11.0,20,False,2023-08-31 18:37:22.000,0.4.6,12.0,funsor,,,,['pytorch'],61.0,58.0,https://pypi.org/project/funsor,30944.0,30944.0,,,,,,,,3.0,,2023-01-23 08:32:39.757,3.0,,,,,,,,,,,,,,,,,,, +758,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,,,,,64.0,62.0,https://pypi.org/project/numerizer,63411.0,63411.0,,,,,,,,3.0,,2023-01-03 08:08:01.830,2.0,,,,,,,,,,,,,,,,,,, +759,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,,31.0,12.0,197.0,21.0,73.0,183.0,"Fast solver for L1-type problems: Lasso, sparse Logisitic regression, Group Lasso, weighted Lasso, Multitask Lasso, etc.",11.0,20,False,2023-07-26 15:36:39.000,0.7.3,15.0,celer,,,,['sklearn'],30.0,29.0,https://pypi.org/project/celer,1368.0,1368.0,,,,,,,,3.0,,2023-07-26 15:36:39.000,1.0,,,,,,,,,,,,,,,,,,, +760,scenic,google-research/scenic,image,,https://github.com/google-research/scenic,https://github.com/google-research/scenic,Apache-2.0,2021-07-12 14:27:08.000,2023-11-15 17:32:00.000000,2023-11-15 17:31:54,640.0,52.0,349.0,36.0,758.0,149.0,106.0,2606.0,Scenic: A Jax Library for Computer Vision Research and Beyond.,74.0,19,True,,,,,,,,['jax'],,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +761,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,,166.0,24.0,20.0,13.0,30.0,1503.0,Platform for designing and evaluating Graph Neural Networks (GNN).,6.0,19,True,2022-03-24 23:28:17.000,0.4.0,3.0,graphgym,,,,,4.0,4.0,https://pypi.org/project/graphgym,103.0,103.0,,,,,,,,3.0,26.0,2022-03-24 23:19:13.000,,,,,,,,,,,,,,,,,,,, +762,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,,139.0,17.0,11.0,41.0,43.0,1007.0,"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'],106.0,101.0,https://pypi.org/project/performer-pytorch,6418.0,6418.0,,,,,,,,3.0,,2022-02-02 20:34:04.000,5.0,,,,,,,,,,,,,,,,,,, +763,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,,144.0,15.0,24.0,58.0,69.0,843.0,PyTorch to Keras model convertor.,13.0,19,False,2020-05-14 10:03:56.000,0.2.4,23.0,pytorch2keras,,,,,87.0,86.0,https://pypi.org/project/pytorch2keras,382.0,382.0,,,,,,,,3.0,,2020-05-14 10:03:56.000,1.0,,,,,,,,,,,,,,,,,,, +764,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,,225.0,31.0,38.0,39.0,20.0,809.0,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,30077.0,30077.0,,,,,,,,3.0,,2022-10-01 22:28:00.848,2.0,,,,,,,,,,,,,,,,,,, +765,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,,101.0,26.0,48.0,19.0,35.0,722.0,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,,,,,23.0,21.0,https://pypi.org/project/matrixprofile-ts,361.0,361.0,,,,,,,,3.0,,2019-08-08 01:24:38.000,2.0,,,,,,,,,,,,,,,,,,, +766,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 15:23:32.000,2023-11-02 13:21:52.000000,2023-11-02 13:20:51,279.0,4.0,105.0,19.0,20.0,,83.0,631.0,"Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of..",10.0,19,True,2023-11-02 13:21:52.000,0.0.81,35.0,auto-ts,,,,,,,https://pypi.org/project/auto-ts,4182.0,4182.0,,,,,,,,3.0,,2023-11-02 13:21:52.000,,,,,,,,,,,,,,,,,,,, +767,opytimizer,gugarosa/opytimizer,hyperopt,,https://github.com/gugarosa/opytimizer,https://github.com/gugarosa/opytimizer,Apache-2.0,2017-11-01 16:04:01.000,2023-09-22 14:57:35.000000,2023-09-22 14:57:01,815.0,6.0,38.0,15.0,17.0,,20.0,580.0,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,294.0,294.0,,,,,,,,3.0,,2022-05-04 20:51:15.000,,,,,,,,,,,,,,,,,,,, +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,,71.0,40.0,17.0,13.0,22.0,556.0,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/n2,325.0,325.0,,,,,,,,3.0,,2020-10-16 03:10:01.000,4.0,,,,,,,,,,,,,,,,,,, +769,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,,65.0,11.0,10.0,22.0,41.0,509.0,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,,,,,43.0,43.0,https://pypi.org/project/fastt5,1300.0,1300.0,,,,,,,,3.0,,2022-04-05 03:23:12.000,,,,,,,,,,,,,,,,,,,, +770,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 05:41:43,372.0,1.0,97.0,28.0,21.0,37.0,12.0,465.0,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,,,,,34.0,32.0,https://pypi.org/project/pydlm,26481.0,26481.0,,,,,,,,3.0,,2018-12-19 10:27:54.000,2.0,,,,,,,,,,,,,,,,,,, +771,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,,104.0,19.0,56.0,27.0,20.0,461.0,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,,,,,63.0,55.0,https://pypi.org/project/rrcf,6064.0,6064.0,,,,,,,,3.0,,2020-06-10 01:53:55.000,8.0,,,,,,,,,,,,,,,,,,, +772,chefboost,serengil/chefboost,ml-frameworks,,https://github.com/serengil/chefboost,https://github.com/serengil/chefboost,MIT,2019-03-06 12:26:27.000,2023-10-31 10:34:13.000000,2023-10-31 10:34:13,363.0,2.0,95.0,18.0,3.0,5.0,27.0,419.0,"A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4,5, CART, CHAID and Regression Trees; some..",6.0,19,True,2022-02-16 06:14:54.000,0.0.17,17.0,chefboost,,,,,49.0,49.0,https://pypi.org/project/chefboost,445.0,445.0,,,,,,,,3.0,,2022-02-16 06:14:54.000,,,,,,,,,,,,,,,,,,,, +773,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 11:10:46,137.0,5.0,106.0,71.0,7.0,15.0,19.0,414.0,semantic similarity framework for knowledge graph.,10.0,19,True,2017-04-17 10:56:52.000,1.0.4,5.0,sematch,,,,,49.0,46.0,https://pypi.org/project/sematch,324.0,324.0,,,,,,,,3.0,,2017-04-17 10:56:52.000,3.0,,,,,,,,,,,,,,,,,,, +774,textaugment,dsfsi/textaugment,nlp,,https://github.com/dsfsi/textaugment,https://github.com/dsfsi/textaugment,MIT,2019-05-06 12:28:19.000,2023-09-12 10:58:23.000000,2023-09-12 10:58:23,69.0,3.0,57.0,8.0,10.0,9.0,13.0,348.0,TextAugment: Text Augmentation Library.,8.0,19,True,2020-11-05 15:04:26.000,1.3.4,8.0,textaugment,,,,,71.0,67.0,https://pypi.org/project/textaugment,3414.0,3415.0,,,,,,,,3.0,62.0,2020-11-05 15:02:11.000,4.0,,,,,,,,,,,,,,,,,,, +775,fairness-indicators,tensorflow/fairness-indicators,interpretability,,https://github.com/tensorflow/fairness-indicators,https://github.com/tensorflow/fairness-indicators,Apache-2.0,2019-09-30 22:56:45.000,2023-11-13 20:22:49.000000,2023-08-16 21:27:14,316.0,,78.0,26.0,326.0,21.0,9.0,325.0,Tensorflows Fairness Evaluation and Visualization Toolkit.,33.0,19,True,2023-05-03 23:01:17.460,0.44.0,30.0,fairness-indicators,,,,"['tensorflow', 'jupyter']",,,https://pypi.org/project/fairness-indicators,1664.0,1664.0,,,,,,,,3.0,,2022-12-13 19:06:03.653,,,,,,,,,,,,,,,,,,,, +776,Brainiak,brainiak/brainiak,medical-data,,https://github.com/brainiak/brainiak,https://github.com/brainiak/brainiak,Apache-2.0,2016-02-08 23:19:27.000,2023-11-14 00:17:38.000000,2023-11-13 22:29:40,397.0,4.0,128.0,34.0,321.0,81.0,127.0,316.0,Brain Imaging Analysis Kit.,35.0,19,True,2019-08-27 23:52:29.000,0.9.1,15.0,brainiak,,brainiak/brainiak,,,1.0,,https://pypi.org/project/brainiak,151.0,170.0,,,,https://hub.docker.com/r/brainiak/brainiak,2020-10-15 21:11:03.379549,1.0,1787.0,3.0,,2020-10-15 20:45:08.000,1.0,,,,,,,,,,,,,,,,,,, +777,OMLT,cog-imperial/omlt,model-serialisation,,https://github.com/cog-imperial/OMLT,https://github.com/cog-imperial/OMLT,BSD-3-Clause,2021-06-03 12:39:38.000,2023-11-14 16:51:40.000000,2023-10-29 04:13:55,421.0,21.0,47.0,14.0,76.0,12.0,35.0,217.0,Represent trained machine learning models as Pyomo optimization formulations.,16.0,19,False,2022-01-21 16:05:52.000,0.3.1,7.0,omlt,,,,,1.0,,https://pypi.org/project/omlt,6885.0,6885.0,,,,,,,,3.0,,2022-02-08 01:23:07.000,1.0,,,,,,,,,,,,,,,,,,, +778,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,,765.0,337.0,58.0,2.0,,6610.0,Game Agent Framework. Helping you create AIs / Bots that learn to play any game you own!.,7.0,18,False,2018-02-17 00:12:46.000,2018.1.2,18.0,SerpentAI,,,,,,,https://pypi.org/project/SerpentAI,82.0,89.0,,,,,,,,3.0,313.0,2018-02-17 00:12:46.000,,,,,,,,,,,,,,,,,,,, +779,micrograd,karpathy/micrograd,pytorch-utils,,https://github.com/karpathy/micrograd,https://github.com/karpathy/micrograd,MIT,2020-04-13 04:31:18.000,2023-10-19 21:48:05.000000,2020-04-18 19:15:25,24.0,,809.0,127.0,36.0,28.0,8.0,6537.0,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'],34.0,32.0,https://pypi.org/project/micrograd,456.0,456.0,,,,,,,,3.0,,2020-04-18 19:06:59.000,2.0,,,,,,,,,,,,,,,,,,, +780,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,,872.0,108.0,51.0,45.0,159.0,6132.0,Model parallel transformers in JAX and Haiku.,23.0,18,True,,,,,,,,['jax'],20.0,20.0,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +781,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,,413.0,109.0,83.0,67.0,48.0,2914.0,Deep recommender models using PyTorch.,11.0,18,False,2019-09-08 10:19:53.000,0.1.6,7.0,,maciejkula/spotlight,,,['pytorch'],,,,,110.0,https://anaconda.org/maciejkula/spotlight,2023-06-16 13:22:46.522,8538.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +782,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 20:55:56,106.0,1.0,230.0,62.0,105.0,25.0,56.0,2085.0,"Codebase for Image Classification Research, written in PyTorch.",19.0,18,True,2021-05-21 00:29:47.000,0.2,3.0,pycls,,,,['pytorch'],16.0,16.0,https://pypi.org/project/pycls,815.0,815.0,,,,,,,,3.0,,2020-09-05 00:21:00.000,,,,,,,,,,,,,,,,,,,, +783,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,,71.0,24.0,1004.0,127.0,65.0,1633.0,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,343.0,343.0,,,,,,,,3.0,,2021-01-25 21:51:16.000,1.0,,,,,,,,,,,,,,,,,,, +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,,249.0,57.0,65.0,8.0,31.0,1345.0,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,95.0,95.0,,,,,,,,3.0,,2018-12-05 02:48:50.000,,,,,,,,,,,,,,,,,,,, +785,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,,96.0,41.0,13.0,13.0,9.0,1263.0,Detect text blocks and OCR poorly scanned PDFs in bulk. Python module available via pip.,5.0,18,False,,,,doc2text,,,,,106.0,106.0,https://pypi.org/project/doc2text,3538.0,3538.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +786,robustness,MadryLab/robustness,adversarial,,https://github.com/MadryLab/robustness,https://github.com/MadryLab/robustness,MIT,2019-08-21 09:26:33.000,2023-06-16 19:21:11.893000,2022-02-14 20:43:06,145.0,,161.0,18.0,41.0,21.0,59.0,844.0,"A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.",13.0,18,False,2020-12-01 06:11:12.000,1.2.1.post2,10.0,robustness,conda-forge/robustness,,,,159.0,156.0,https://pypi.org/project/robustness,300.0,500.0,https://anaconda.org/conda-forge/robustness,2023-06-16 19:21:11.893,7829.0,,,,,3.0,,2020-12-01 06:21:33.000,3.0,,,,,,,,,,,,,,,,,,, +787,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,,188.0,34.0,15.0,18.0,22.0,786.0,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,43.0,43.0,,,,,,,,3.0,,2022-01-17 20:35:57.000,1.0,,,,,,,,,,,,,,,,,,, +788,LOFO,aerdem4/lofo-importance,interpretability,,https://github.com/aerdem4/lofo-importance,https://github.com/aerdem4/lofo-importance,MIT,2019-01-14 10:46:46.000,2023-11-09 14:29:50.000000,2023-04-14 10:59:37,29.0,,78.0,15.0,32.0,6.0,22.0,778.0,Leave One Feature Out Importance.,5.0,18,True,2023-04-15 05:47:00.405,0.3.3,13.0,lofo-importance,,,,,29.0,27.0,https://pypi.org/project/lofo-importance,878.0,878.0,,,,,,,,3.0,,2022-04-27 12:56:30.000,2.0,,,,,,,,,,,,,,,,,,, +789,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,,97.0,20.0,58.0,2.0,13.0,725.0,"A lightweight Computer Vision library. Scale your models, not boilerplate.",8.0,18,True,2021-10-06 07:29:20.000,2.0.3,13.0,caer,,,https://caer.rtfd.io,,,,https://pypi.org/project/caer,3356.0,3356.0,,,,,,,,3.0,28.0,,,,,,,,,,,,,,,,,,,,, +790,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 18:53:18,1296.0,4.0,121.0,43.0,435.0,25.0,130.0,699.0,GPU accelerated signal processing.,46.0,18,True,2023-08-09 16:45:21.000,23.08.00,21.0,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +791,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,,,,9.0,8.0,https://pypi.org/project/baikal,213.0,53245.0,https://anaconda.org/conda-forge/cython-blis,2023-10-01 08:59:57.840,2015243.0,,,,,3.0,,2020-11-15 13:40:18.000,1.0,,,,,,,,,,,,,,,,,,, +792,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,,137.0,59.0,72.0,18.0,71.0,524.0,"Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).",16.0,18,False,2019-07-30 09:28:26.000,0.2.2,14.0,atm,,,,,18.0,18.0,https://pypi.org/project/atm,100.0,100.0,,,,,,,,3.0,,2019-07-30 09:25:11.000,,,,,,,,,,,,,,,,,,,, +793,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,,63.0,6.0,5.0,2.0,26.0,500.0,A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.,2.0,18,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,4570.0,4570.0,,,,,,,,3.0,,2022-08-24 08:33:00.976,1.0,,,,,,,,,,,,,,,,,,, +794,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,,30.0,16.0,148.0,39.0,66.0,456.0,A High Level API for Deep Learning in JAX.,18.0,18,False,2022-03-23 21:51:07.000,0.8.6,33.0,elegy,,,,"['tensorflow', 'jax']",40.0,40.0,https://pypi.org/project/elegy,348.0,348.0,,,,,,,,3.0,,2022-04-22 15:42:03.000,,,,,,,,,,,,,,,,,,,, +795,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,,49.0,18.0,7.0,16.0,4.0,452.0,Topological Data Analysis for Python.,4.0,18,False,2021-08-03 00:23:20.000,1.0.0,4.0,scikit-tda,,,,['sklearn'],47.0,47.0,https://pypi.org/project/scikit-tda,4144.0,4144.0,,,,,,,,3.0,,2021-08-03 00:23:20.000,,,,,,,,,,,,,,,,,,,, +796,UForm,unum-cloud/uform,nlp,,https://github.com/unum-cloud/uform,https://github.com/unum-cloud/uform,Apache-2.0,2023-02-21 10:04:40.000,2023-10-13 05:08:46.000000,2023-10-13 05:07:33,152.0,29.0,20.0,6.0,41.0,,8.0,445.0,"Multi-Modal AI library for Multi-Lingual Text, Image, and Video Search, Recommendations, and other Vision-Language..",9.0,18,True,2023-10-13 05:08:46.000,0.4.8,24.0,uform,,,,['pytorch'],8.0,8.0,https://pypi.org/project/uform,532.0,532.0,,,,,,,,3.0,,2023-10-13 05:08:46.000,,,,,,,,,,,,,,,,,,,, +797,NeuralCompression,facebookresearch/NeuralCompression,others,,https://github.com/facebookresearch/NeuralCompression,https://github.com/facebookresearch/NeuralCompression,MIT,2021-07-09 15:14:13.000,2023-11-08 16:07:40.000000,2023-11-08 16:07:36,135.0,12.0,40.0,19.0,164.0,3.0,63.0,411.0,A collection of tools for neural compression enthusiasts.,9.0,18,True,2023-10-03 14:26:28.000,0.3.1,6.0,neuralcompression,,,,,,,https://pypi.org/project/neuralcompression,465.0,465.0,,,,,,,,3.0,,2023-10-03 14:26:28.000,,,,,,,,,,,,,,,,,,,, +798,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,,39.0,11.0,29.0,17.0,17.0,402.0,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,,,,58.0,56.0,https://pypi.org/project/animatplot,382.0,603.0,https://anaconda.org/conda-forge/animatplot,2023-06-16 16:14:07.121,12644.0,,,,,3.0,,2020-10-05 06:20:52.000,2.0,,,,,,,,,,,,,,,,,,, +799,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,,17.0,6.0,217.0,4.0,26.0,341.0,Camphr - NLP libary for creating pipeline components.,8.0,18,False,2023-03-07 22:10:10.175,0.8.9,49.0,camphr,,,,['spacy'],15.0,13.0,https://pypi.org/project/camphr,195.0,195.0,,,,,,,,3.0,,2020-02-17 07:50:16.000,2.0,,,,,,,,,,,,,,,,,,, +800,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,,,,,35.0,31.0,https://pypi.org/project/parameter-sherpa,185.0,185.0,,,,,,,,3.0,,2019-11-23 21:32:27.000,4.0,,,,,,,,,,,,,,,,,,, +801,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,,73.0,19.0,93.0,25.0,18.0,309.0,"pandas, scikit-learn, xgboost and seaborn integration.",4.0,18,False,2019-03-05 01:36:12.000,0.6.1,9.0,pandas-ml,,,,"['sklearn', 'pandas']",11.0,,https://pypi.org/project/pandas-ml,2009.0,2009.0,,,,,,,,3.0,8.0,2019-03-05 01:35:23.000,11.0,,,,,,,,,,,,,,,,,,, +802,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,,19.0,6.0,31.0,20.0,39.0,259.0,Streaming over lightweight data transformations.,5.0,18,False,2020-03-10 14:09:31.000,0.1.9,18.0,solt,,,,,53.0,50.0,https://pypi.org/project/solt,458.0,458.0,,,,,,,,3.0,,2020-03-10 14:09:31.000,3.0,,,,,,,,,,,,,,,,,,, +803,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,,57.0,5.0,2.0,2.0,1.0,118.0,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,,,,8502.0,8330.0,https://pypi.org/project/nvidia-ml-py3,274458.0,274494.0,https://anaconda.org/anaconda/nvidia-ml,2023-06-16 19:26:58.970,1031.0,,,,,3.0,,2017-06-03 07:43:46.000,172.0,,,,,,,,,,,,,,,,,,, +804,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,,1383.0,470.0,21.0,59.0,166.0,6938.0,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,,,,,,,,,,, +805,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,,462.0,81.0,36.0,83.0,68.0,1676.0,Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.,7.0,17,False,2019-10-02 23:30:15.000,1.0.8,7.0,pyneuroner,,,,,,,https://pypi.org/project/pyneuroner,112.0,112.0,,,,,,,,3.0,,2019-10-02 23:30:15.000,,,,,,,,,,,,,,,,,,,, +806,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,,258.0,52.0,13.0,20.0,13.0,1527.0,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,76.0,98.0,,,,https://hub.docker.com/r/tobegit3hub/advisor,2019-11-11 07:09:57.869705,,1683.0,3.0,,2018-10-18 02:54:09.000,,,,,,,,,,,,,,,,,,,, +807,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,,143.0,18.0,11.0,25.0,18.0,1154.0,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'],49.0,47.0,https://pypi.org/project/tez,206.0,206.0,,,,,,,,3.0,,2022-09-20 02:28:33.973,2.0,,,,,,,,,,,,,,,,,,, +808,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,,86.0,35.0,72.0,25.0,30.0,1091.0,"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,4217.0,4217.0,,,,,,,,3.0,,2021-02-14 02:43:46.000,,,,,,,,,,,,,,,,,,,, +809,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,,112.0,21.0,37.0,20.0,8.0,1038.0,Distributed Computing for AI Made Simple.,5.0,17,False,2020-07-09 03:28:28.000,0.2.1,6.0,fiber,,,,,66.0,65.0,https://pypi.org/project/fiber,58.0,58.0,,,,,,,,3.0,,2020-07-09 03:28:28.000,1.0,,,,,,,,,,,,,,,,,,, +810,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,,145.0,45.0,5.0,3.0,7.0,954.0,XAI - An eXplainability toolbox for machine learning.,3.0,17,False,2021-10-30 06:35:19.000,0.1.0,6.0,xai,,,,,28.0,22.0,https://pypi.org/project/xai,172.0,172.0,,,,,,,,3.0,,2021-10-30 06:33:26.000,6.0,,,,,,,,,,,,,,,,,,, +811,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,,36.0,13.0,13.0,8.0,16.0,742.0,"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'],27.0,27.0,https://pypi.org/project/tensor-sensor,2814.0,2923.0,https://anaconda.org/conda-forge/tensor-sensor,2023-06-16 19:27:38.210,2740.0,,,,,3.0,,2021-12-11 21:24:35.000,,,,,,,,,,,,,,,,,,,, +812,ThunderGBM,Xtra-Computing/thundergbm,ml-frameworks,,https://github.com/Xtra-Computing/thundergbm,https://github.com/Xtra-Computing/thundergbm,Apache-2.0,2016-11-11 09:58:08.000,2023-09-26 02:55:16.000000,2023-09-26 02:55:09,610.0,2.0,87.0,25.0,4.0,36.0,42.0,677.0,ThunderGBM: Fast GBDTs and Random Forests on GPUs.,11.0,17,True,2022-09-19 20:15:07.376,0.3.17,25.0,thundergbm,,,,,2.0,2.0,https://pypi.org/project/thundergbm,173.0,173.0,,,,,,,,3.0,,2022-09-19 20:15:07.376,,,,,,,,,,,,,,,,,,,, +813,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,,65.0,19.0,21.0,29.0,50.0,671.0,"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,56.0,56.0,,,,,,,,3.0,,2020-06-12 20:05:15.000,,,,,,,,,,,,,,,,,,,, +814,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,,118.0,19.0,17.0,67.0,24.0,507.0,Python package for performing Entity and Text Matching using Deep Learning.,7.0,17,False,,,,deepmatcher,,,,,25.0,25.0,https://pypi.org/project/deepmatcher,1734.0,1734.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +815,Case Recommender,caserec/CaseRecommender,recommender-systems,,https://github.com/caserec/CaseRecommender,https://github.com/caserec/CaseRecommender,MIT,2015-11-12 18:25:39.000,2021-11-25 23:19:05.000000,2021-11-25 23:08:43,204.0,,88.0,24.0,18.0,7.0,20.0,451.0,Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems.,11.0,17,False,2021-11-25 23:19:05.000,1.1.1,42.0,caserecommender,,,,['sklearn'],12.0,12.0,https://pypi.org/project/caserecommender,132.0,132.0,,,,,,,,3.0,,2021-11-25 23:19:05.000,,,,,,,,,,,,,,,,,,,, +816,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,True,2023-03-23 17:16:00.413,0.12.0,48.0,sklearn-evaluation,,,,['sklearn'],5.0,,https://pypi.org/project/sklearn-evaluation,1691.0,1691.0,,,,,,,,3.0,,2020-12-28 15:13:44.000,5.0,,,,,,,,,,,,,,,,,,, +817,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,,29.0,11.0,121.0,31.0,150.0,345.0,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,28.0,28.0,,,,,,,,3.0,,2018-12-07 06:16:42.000,,,,,,,,,,,,,,,,,,,, +818,tsflex,predict-idlab/tsflex,time-series-data,,https://github.com/predict-idlab/tsflex,https://github.com/predict-idlab/tsflex,MIT,2021-07-06 15:16:45.577,2023-10-26 04:10:03.000000,2023-10-04 14:18:48,810.0,2.0,22.0,7.0,68.0,27.0,18.0,329.0,Flexible time series feature extraction & processing.,6.0,17,True,2023-02-23 13:56:43.000,0.3.0,36.0,tsflex,conda-forge/tsflex,,,,10.0,10.0,https://pypi.org/project/tsflex,319.0,1016.0,https://anaconda.org/conda-forge/tsflex,2023-06-16 19:26:46.251,19527.0,,,,,3.0,,2022-10-11 21:38:11.312,,,,,,,,,,,,,,,,,,,, +819,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,,18.0,14.0,271.0,70.0,175.0,295.0,datadescribe: Pythonic EDA Accelerator for Data Science.,13.0,17,False,,,5.0,data-describe,,,,,,,https://pypi.org/project/data-describe,8780.0,8780.0,,,,,,,,3.0,,2020-12-03 23:07:43.000,,,,,,,,,,,,,,,,,,,, +820,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,,68.0,28.0,57.0,29.0,32.0,290.0,Distributed and decentralized training framework for PyTorch over graph.,9.0,17,False,2021-05-15 01:39:45.000,0.3.0,9.0,bluefog,,,,['pytorch'],3.0,3.0,https://pypi.org/project/bluefog,110.0,113.0,,,,,,,,3.0,147.0,2021-05-15 01:39:45.000,,,,,,,,,,,,,,,,,,,, +821,DeepGraph,deepgraph/deepgraph,graph,,https://github.com/deepgraph/deepgraph,https://github.com/deepgraph/deepgraph,BSD-3-Clause,2015-10-27 12:28:45.000,2023-10-03 23:52:47.440000,2023-07-17 09:18:00,166.0,,39.0,20.0,2.0,10.0,7.0,278.0,Analyze Data with Pandas-based Networks. Documentation:.,2.0,17,False,2020-10-01 13:20:38.000,0.2.3,13.0,deepgraph,conda-forge/deepgraph,,,['pandas'],8.0,8.0,https://pypi.org/project/deepgraph,318.0,4947.0,https://anaconda.org/conda-forge/deepgraph,2023-10-03 23:52:47.440,171279.0,,,,,3.0,,2020-10-01 13:18:38.000,,,,,,,,,,,,,,,,,,,, +822,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,,43.0,11.0,59.0,31.0,47.0,230.0,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'],15.0,12.0,https://pypi.org/project/skggm,67.0,67.0,,,,,,,,3.0,,2018-09-12 01:12:49.000,3.0,,,,,,,,,,,,,,,,,,, +823,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,,33.0,14.0,36.0,8.0,44.0,223.0,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,104.0,104.0,,,,,,,,3.0,,2019-11-15 15:46:21.000,2.0,,,,,,,,,,,,,,,,,,, +824,chitra,gradsflow/chitra,ml-experiments,,https://github.com/aniketmaurya/chitra,https://github.com/aniketmaurya/chitra,Apache-2.0,2020-01-23 14:17:54.000,2023-10-03 10:26:05.000000,2023-04-22 13:39:45,369.0,,38.0,6.0,131.0,,35.0,219.0,"A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model..",14.0,17,False,2021-11-26 17:10:22.000,0.2.0,38.0,chitra,conda-forge/chitra,,,,1.0,,https://pypi.org/project/chitra,502.0,628.0,https://anaconda.org/conda-forge/chitra,2023-06-18 08:40:33.534,2776.0,,,,,3.0,,2021-06-19 15:04:46.000,1.0,,,,,,,,aniketmaurya/chitra,,,,,,,,,,, +825,modelkit,Cornerstone-OnDemand/modelkit,model-serialisation,,https://github.com/Cornerstone-OnDemand/modelkit,https://github.com/Cornerstone-OnDemand/modelkit,MIT,2021-05-14 12:10:51.000,2023-11-14 15:46:43.000000,2023-11-13 13:54:02,830.0,12.0,17.0,8.0,171.0,14.0,20.0,148.0,Toolkit for developing and maintaining ML models.,14.0,17,False,2023-08-24 10:06:11.000,0.0.30,30.0,modelkit,,,,,,,https://pypi.org/project/modelkit,3044.0,3044.0,,,,,,,,3.0,,2023-08-24 10:06:11.000,,,,,,,,,,,,,,,,,,,, +826,OpenNRE,thunlp/OpenNRE,nlp,,https://github.com/thunlp/OpenNRE,https://github.com/thunlp/OpenNRE,MIT,2017-02-26 07:37:12.000,2023-07-06 21:55:15.000000,2023-01-03 11:24:22,166.0,,1028.0,119.0,24.0,11.0,352.0,4128.0,An Open-Source Package for Neural Relation Extraction (NRE).,12.0,16,True,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +827,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,,539.0,178.0,110.0,54.0,149.0,3896.0,"Learning embeddings for classification, retrieval and ranking.",17.0,16,False,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +828,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,,996.0,60.0,12.0,43.0,25.0,3466.0,Implementation and experiments of graph embedding algorithms.,9.0,16,False,,,,,,,,['sklearn'],30.0,30.0,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +829,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,,166.0,61.0,10.0,26.0,6.0,1834.0,"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,43.0,43.0,,,,,,,,3.0,41.0,2019-04-05 06:47:54.000,,,,,,,,,,,,,,,,,,,, +830,AutoGL,THUMNLab/AutoGL,graph,,https://github.com/THUMNLab/AutoGL,https://github.com/THUMNLab/AutoGL,Apache-2.0,2020-11-30 14:26:22.000,2023-10-21 13:07:29.000000,2023-10-21 13:07:20,740.0,5.0,113.0,28.0,109.0,9.0,24.0,1030.0,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,7.0,7.0,,,,,,,,3.0,,2020-12-23 08:05:25.000,,,,,,,,,,,,,,,,,,,, +831,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,,56.0,18.0,7.0,1.0,10.0,792.0,MADGRAD Optimization Method.,2.0,16,True,,,4.0,madgrad,,,,['pytorch'],65.0,64.0,https://pypi.org/project/madgrad,3599.0,3599.0,,,,,,,,3.0,,2022-03-08 18:23:32.000,1.0,,,,,,,,,,,,,,,,,,, +832,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,,109.0,27.0,10.0,24.0,51.0,765.0,Code for High-Precision Model-Agnostic Explanations paper.,10.0,16,False,,,10.0,anchor_exp,,,,,2.0,,https://pypi.org/project/anchor_exp,1152.0,1152.0,,,,,,,,3.0,,2020-09-10 22:52:00.000,2.0,,,,,,,,,,,,,,,,,,, +833,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,,55.0,14.0,10.0,26.0,17.0,723.0,Parallelformers: An Efficient Model Parallelization Toolkit for Deployment.,5.0,16,False,2022-07-27 19:52:00.185,1.2.7,19.0,parallelformers,,,,,38.0,38.0,https://pypi.org/project/parallelformers,697.0,697.0,,,,,,,,3.0,,2022-07-27 19:52:00.185,,,,,,,,,,,,,,,,,,,, +834,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 07:22:50,127.0,1.0,88.0,17.0,15.0,10.0,22.0,713.0,Visualization toolkit for neural networks in PyTorch! Demo --.,2.0,16,True,2020-05-29 14:39:38.000,0.1.3,12.0,flashtorch,,,,['pytorch'],15.0,15.0,https://pypi.org/project/flashtorch,336.0,336.0,,,,,,,,3.0,,2020-05-29 14:38:32.000,,,,,,,,,,,,,,,,,,,, +835,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,,100.0,26.0,101.0,37.0,84.0,703.0,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,82.0,88.0,,,,,,,,3.0,411.0,2018-06-14 02:21:57.000,1.0,,,,,,,,,,,,,,,,,,, +836,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,,93.0,18.0,19.0,3.0,29.0,622.0,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,130.0,130.0,,,,,,,,3.0,,2022-03-15 07:18:47.000,,,,,,,,,,,,,,,,,,,, +837,kglib,vaticle/kglib,graph,,https://github.com/vaticle/typedb-ml,https://github.com/vaticle/typedb-ml,Apache-2.0,2018-09-16 16:46:48.000,2022-11-09 16:08:58.000000,2022-11-09 16:08:58,507.0,,98.0,39.0,106.0,12.0,51.0,549.0,TypeDB-ML is the Machine Learning integrations library for TypeDB.,11.0,16,True,2022-07-29 11:37:34.000,0.3.0,8.0,grakn-kglib,,,,,,,https://pypi.org/project/grakn-kglib,87.0,90.0,,,,,,,,3.0,220.0,2020-08-19 15:39:10.000,,,,,,,,,vaticle/typedb-ml,,,,,,,,,,, +838,caliban,google/caliban,ml-experiments,,https://github.com/google/caliban,https://github.com/google/caliban,Apache-2.0,2020-06-02 18:12:50.000,2023-10-11 20:12:08.000000,2023-10-11 20:12:03,257.0,1.0,70.0,22.0,87.0,19.0,15.0,492.0,"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,66.0,66.0,,,,,,,,3.0,,2020-09-12 19:41:23.000,,,,,,,,,,,,,,,,,,,, +839,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,,75.0,14.0,126.0,15.0,136.0,449.0,A Python library for dynamic classifier and ensemble selection.,16.0,16,True,2021-02-08 06:29:25.000,0.3.5,4.0,deslib,,,,['sklearn'],2.0,,https://pypi.org/project/deslib,1041.0,1041.0,,,,,,,,3.0,,2021-02-08 06:29:25.000,2.0,-3.0,,,,,,,,,,,,,,,,,, +840,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,,84.0,37.0,47.0,5.0,12.0,404.0,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,40.0,40.0,,,,,,,,3.0,,2020-02-18 06:52:11.000,1.0,,,,,,,,,,,,,,,,,,, +841,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,,33.0,24.0,21.0,17.0,10.0,344.0,Interactive plotting for Pandas using Vega-Lite.,9.0,16,False,,,1.0,pdvega,,,,,91.0,84.0,https://pypi.org/project/pdvega,132.0,132.0,,,,,,,,3.0,,2018-02-01 04:56:43.000,7.0,,,,,,,,,,,,,,,,,,, +842,pymdp,infer-actively/pymdp,others,,https://github.com/infer-actively/pymdp,https://github.com/infer-actively/pymdp,MIT,2019-11-27 19:03:35.000,2023-11-02 18:11:39.000000,2023-08-19 12:43:22,678.0,2.0,53.0,30.0,76.0,12.0,24.0,322.0,A Python implementation of active inference for Markov Decision Processes.,14.0,16,True,2023-03-25 17:58:52.000,0.0.7.1,8.0,inferactively-pymdp,,,,,8.0,8.0,https://pypi.org/project/inferactively-pymdp,98.0,98.0,,,,,,,,3.0,,2022-12-08 15:25:01.498,,,,,,,,,,,,,,,,,,,, +843,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,145.0,145.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +844,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,,24.0,11.0,8.0,1.0,10.0,234.0,scikit-learn wrappers for Python fastText.,9.0,16,False,2022-02-14 13:45:54.000,0.0.23,18.0,skift,,,,['sklearn'],13.0,13.0,https://pypi.org/project/skift,278.0,278.0,,,,,,,,3.0,,2018-03-15 09:05:47.000,,,,,,,,,,,,,,,,,,,, +845,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,,27.0,11.0,15.0,6.0,4.0,216.0,Draw interactive NetworkX graphs with Altair.,3.0,16,False,2020-06-02 21:11:12.000,0.1.6,8.0,nx-altair,,,,['jupyter'],4.0,,https://pypi.org/project/nx-altair,822.0,822.0,,,,,,,,3.0,,2020-06-02 21:11:12.000,4.0,,,,,,,,,,,,,,,,,,, +846,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,4684.0,4684.0,,,,,,,,3.0,,2018-10-11 22:03:16.000,,,,,,,,,,,,,,,,,,,, +847,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,,,,,55.0,50.0,https://pypi.org/project/steppy,32.0,32.0,,,,,,,,3.0,,2018-11-23 09:49:59.000,5.0,,,,,,,,,,,,,,,,,,, +848,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.",15.0,16,False,2023-03-31 16:09:03.477,1.3.1,10.0,collie,,,,['pytorch'],37.0,37.0,https://pypi.org/project/collie,135.0,135.0,,,,,,,,3.0,,2022-01-18 23:07:16.000,,,,,,,,,,,,,,,,,,,, +849,OpenKE,thunlp/OpenKE,graph,,https://github.com/thunlp/OpenKE,https://github.com/thunlp/OpenKE,MIT,2017-10-08 11:20:23.000,2022-12-20 03:03:28.000000,2022-11-03 07:32:51,114.0,,952.0,100.0,27.0,18.0,355.0,3575.0,An Open-Source Package for Knowledge Embedding (KE).,11.0,15,True,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +850,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,,560.0,141.0,28.0,217.0,102.0,2862.0,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,13.0,13.0,,,,,,,,3.0,,2019-04-10 01:53:45.000,,,,,,,,,,,,,,,,,,,, +851,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,,423.0,143.0,72.0,12.0,53.0,2193.0,"A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow.",20.0,15,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +852,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.",6.0,15,False,2017-08-21 00:53:25.000,0.5.1,34.0,xcessiv,,,,,2.0,1.0,https://pypi.org/project/xcessiv,18.0,18.0,,,,,,,,3.0,,2017-08-21 00:49:41.000,1.0,,,,,,,,,,,,,,,,,,, +853,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 12:34:57.000,2023-10-04 00:38:12.000000,2022-04-04 08:29:54,41.0,,294.0,54.0,20.0,42.0,85.0,1238.0,"The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN,..",3.0,15,False,,,,,,,,['pytorch'],,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +854,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,,212.0,40.0,40.0,59.0,34.0,1094.0,Entity Linker solution.,16.0,15,False,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +855,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.,7.0,15,False,2018-09-21 07:03:32.000,1.1.2,23.0,skater,conda-forge/skater,,,,,,https://pypi.org/project/skater,364.0,1925.0,https://anaconda.org/conda-forge/skater,2023-09-18 15:13:22.392,62453.0,,,,,3.0,,2018-09-21 07:03:32.000,,,,,,,,,,,,,,,,,,,, +856,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,,116.0,18.0,295.0,3.0,67.0,1029.0,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,1.0,1.0,,,,,,,,3.0,,2021-04-15 09:35:06.000,,,,,,,,,,,,,,,,,,,, +857,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,,121.0,50.0,21.0,15.0,9.0,826.0,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,54.0,54.0,,,,,,,,3.0,,2018-11-24 00:29:36.000,,,,,,,,,,,,,,,,,,,, +858,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,,196.0,43.0,667.0,28.0,27.0,806.0,Translate - a PyTorch Language Library.,88.0,15,False,,,1.0,pytorch-translate,,,,['pytorch'],,,https://pypi.org/project/pytorch-translate,17.0,17.0,,,,,,,,3.0,,2018-05-01 19:59:40.000,,,,,,,,,,,,,,,,,,,, +859,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,,39.0,26.0,4.0,4.0,2.0,668.0,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,48.0,48.0,,,,,,,,3.0,,2020-01-06 05:27:17.000,2.0,,,,,,,,,,,,,,,,,,, +860,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,,50.0,17.0,83.0,18.0,49.0,553.0,A Pytorch Knowledge Distillation library for benchmarking and extending works in the domains of Knowledge..,6.0,15,True,2022-05-18 08:35:04.000,0.0.32,8.0,KD-Lib,,,,['pytorch'],,,https://pypi.org/project/KD-Lib,114.0,114.0,,,,,,,,3.0,,2022-05-18 08:35:04.000,,,,,,,,,,,,,,,,,,,, +861,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,,88.0,21.0,18.0,22.0,2.0,496.0,AtsPy: Automated Time Series Models in Python (by @firmai).,5.0,15,False,2020-11-12 16:10:48.000,zen,39.0,atspy,,,,,10.0,10.0,https://pypi.org/project/atspy,276.0,276.0,,,,,,,,3.0,,2020-04-24 18:16:15.000,,,,,,,,,,,,,,,,,,,, +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,,38.0,16.0,39.0,2.0,13.0,396.0,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,121.0,121.0,,,,,,,,3.0,,2021-10-22 03:19:11.000,,,,,,,,,,,,,,,,,,,, +863,tfdeploy,riga/tfdeploy,model-serialisation,,https://github.com/riga/tfdeploy,https://github.com/riga/tfdeploy,BSD-3-Clause,2016-03-07 13:08:21.000,2021-01-08 09:52:54.000000,2021-01-08 09:52:49,170.0,,38.0,21.0,5.0,11.0,23.0,352.0,Deploy tensorflow graphs for fast evaluation and export to tensorflow-less environments running numpy.,4.0,15,False,2017-03-30 10:51:26.000,0.4.2,22.0,tfdeploy,,,,['tensorflow'],2.0,,https://pypi.org/project/tfdeploy,17.0,17.0,,,,,,,,3.0,,2017-03-30 10:51:26.000,2.0,,,,,,,,,,,,,,,,,,, +864,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,,19.0,5.0,2.0,16.0,23.0,185.0,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,297.0,297.0,,,,,,,,3.0,,2023-01-22 01:21:35.467,,,,,,,,,,,,,,,,,,,, +865,ipyexperiments,stas00/ipyexperiments,gpu-utilities,,https://github.com/stas00/ipyexperiments,https://github.com/stas00/ipyexperiments,Apache-2.0,2018-11-15 01:19:40.000,2021-12-07 18:50:39.000000,2021-12-07 18:50:38,203.0,,11.0,7.0,2.0,1.0,5.0,165.0,jupyter/ipython experiment containers for GPU and general RAM re-use.,3.0,15,False,2021-12-07 18:44:34.000,0.1.28,24.0,ipyexperiments,,,,['jupyter'],10.0,8.0,https://pypi.org/project/ipyexperiments,134.0,134.0,,,,,,,,3.0,,2021-12-07 18:44:34.000,2.0,,,,,,,,,,,,,,,,,,, +866,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,,818.0,77.0,34.0,116.0,59.0,3192.0,Representation learning on large graphs using stochastic graph convolutions.,9.0,14,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +867,OpenNE,thunlp/OpenNE,graph,,https://github.com/thunlp/OpenNE,https://github.com/thunlp/OpenNE,MIT,2017-10-08 04:58:20.000,2023-07-06 21:16:22.000000,2022-11-02 02:28:59,99.0,,482.0,67.0,26.0,5.0,97.0,1658.0,An Open-Source Package for Network Embedding (NE).,11.0,14,True,,,,,,,,['tensorflow'],,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +868,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,,385.0,Tool to generate adversarial text examples and test machine learning models against them.,5.0,14,False,2018-08-29 15:14:41.000,1.1.1,3.0,Adversary,conda-forge/artificial-adversary,,,,9.0,8.0,https://pypi.org/project/Adversary,57.0,202.0,https://anaconda.org/conda-forge/artificial-adversary,2023-06-16 19:21:01.312,5805.0,,,,,3.0,,2018-08-29 15:14:41.000,1.0,,,,,,,,,,,,,,,,,,, +869,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,,40.0,12.0,17.0,2.0,5.0,373.0,A PyTorch Graph Neural Network Library.,8.0,14,False,2021-10-21 21:43:04.000,0.10.4,18.0,ptgnn,,,,['pytorch'],3.0,3.0,https://pypi.org/project/ptgnn,62.0,62.0,,,,,,,,3.0,,2021-10-21 21:43:04.000,,,,,,,,,,,,,,,,,,,, +870,ExplainX.ai,explainX/explainx,interpretability,,https://github.com/explainX/explainx,https://github.com/explainX/explainx,MIT,2020-06-16 14:27:15.000,2023-07-06 22:00:59.000000,2022-09-15 18:52:06,185.0,,49.0,10.0,14.0,12.0,17.0,368.0,Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line..,4.0,14,False,2021-02-07 11:06:21.000,2.407,56.0,explainx,,,,,,,https://pypi.org/project/explainx,673.0,673.0,,,,,,,,3.0,12.0,2021-02-04 16:44:24.000,,,,,,,,,,,,,,,,,,,, +871,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,,35.0,12.0,8.0,9.0,3.0,322.0,A Python package for time series augmentation.,4.0,14,False,2020-04-17 02:50:25.000,0.2.1,4.0,tsaug,,,,,2.0,,https://pypi.org/project/tsaug,1165.0,1165.0,,,,,,,,3.0,,2020-04-17 02:50:25.000,2.0,,,,,,,,,,,,,,,,,,, +872,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,,15.0,11.0,6.0,9.0,6.0,299.0,Drift Detection for your PyTorch Models.,4.0,14,False,2021-03-08 12:21:48.000,0.1.0,3.0,torchdrift,,,,['pytorch'],25.0,25.0,https://pypi.org/project/torchdrift,77.0,77.0,,,,,,,,3.0,,2021-03-08 12:51:05.000,,,,,,,,,,,,,,,,,,,, +873,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,,40.0,1.0,,,,168.0,Pytorch framework for doing deep learning on point clouds.,29.0,14,False,,,,torch-points3d,,,,['pytorch'],,,https://pypi.org/project/torch-points3d,639.0,639.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +874,dabl,amueller/dabl,sklearn-utils,,https://github.com/amueller/dabl,https://github.com/amueller/dabl,BSD-3-Clause,2020-01-30 18:26:49.000,2023-02-28 01:21:32.000000,2023-02-24 00:50:55,299.0,,9.0,5.0,3.0,1.0,,126.0,Data Analysis Baseline Library.,23.0,14,False,2023-02-28 01:21:03.335,0.2.5,15.0,dabl,,,,['sklearn'],,,https://pypi.org/project/dabl,1036.0,1036.0,,,,,,,,3.0,,2022-11-03 05:52:04.962,,,,,,,,,,,,,,,,,,,, +875,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,,477.0,110.0,12.0,39.0,8.0,2656.0,PyTorch implementation of Efficient Neural Architecture Search via Parameters Sharing.,6.0,13,False,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +876,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,,75.0,45.0,4.0,1.0,,2379.0,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'],,,https://pypi.org/project/ane-transformers,1874.0,1876.0,,,,,,,,3.0,49.0,2022-08-09 04:22:00.465,,,,,,,,,,,,,,,,,,,, +877,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,,174.0,38.0,10.0,13.0,3.0,1322.0,A web app to generate template code for machine learning.,3.0,13,False,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +878,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,,50.0,59.0,1167.0,GraphVite: A General and High-performance Graph Embedding System.,1.0,13,False,,,4.0,,milagraph/graphvite,,,,,,,,91.0,https://anaconda.org/milagraph/graphvite,2023-06-16 16:16:18.265,4679.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +879,rliable,google-research/rliable,reinforcement-learning,,https://github.com/google-research/rliable,https://github.com/google-research/rliable,Apache-2.0,2021-08-20 00:41:06.000,2023-05-29 18:33:56.000000,2023-05-29 18:33:56,62.0,,41.0,11.0,7.0,2.0,11.0,633.0,"[NeurIPS21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of..",6.0,13,True,,,,rliable`,,,,,100.0,100.0,https://pypi.org/project/rliable`,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +880,deltapy,firmai/deltapy,tabular,,https://github.com/firmai/deltapy,https://github.com/firmai/deltapy,MIT,2020-04-08 05:27:53.000,2023-09-19 11:11:53.000000,2022-03-01 16:13:48,42.0,,51.0,16.0,3.0,2.0,1.0,519.0,DeltaPy - Tabular Data Augmentation (by @firmai).,4.0,13,False,2020-11-12 16:13:21.000,zen,11.0,deltapy,,,,,3.0,3.0,https://pypi.org/project/deltapy,135.0,135.0,,,,,,,,3.0,,2020-04-09 01:48:32.000,,3.0,,,,,,,,,,,,,,,,,, +881,VizSeq,facebookresearch/vizseq,nlp,,https://github.com/facebookresearch/vizseq,https://github.com/facebookresearch/vizseq,MIT,2019-08-26 13:19:38.000,2023-10-27 15:32:18.000000,2023-10-27 15:32:10,74.0,3.0,57.0,17.0,60.0,6.0,9.0,438.0,"An Analysis Toolkit for Natural Language Generation (Translation, Captioning, Summarization, etc.).",3.0,13,True,,,,vizseq,,,,,7.0,7.0,https://pypi.org/project/vizseq,74.0,74.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +882,interpret-text,interpretml/interpret-text,interpretability,,https://github.com/interpretml/interpret-text,https://github.com/interpretml/interpret-text,MIT,2019-09-04 16:39:48.000,2023-10-02 18:06:17.000000,2023-10-02 18:06:17,148.0,2.0,66.0,20.0,169.0,87.0,17.0,385.0,A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the..,17.0,13,True,2021-12-07 15:12:02.000,0.1.3,5.0,interpret-text,,,,['jupyter'],,,https://pypi.org/project/interpret-text,46.0,46.0,,,,,,,,3.0,,2021-12-07 01:57:31.000,,,,,,,,,,,,,,,,,,,, +883,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 19:00:02.000000,2020-05-28 17:31:53,465.0,,19.0,12.0,57.0,4.0,20.0,292.0,NLP library designed for reproducible experimentation management.,7.0,13,False,2020-05-28 19:00:02.000,0.1.6,8.0,transfer-nlp,,,,['pytorch'],,,https://pypi.org/project/transfer-nlp,50.0,50.0,,,,,,,,3.0,,2020-05-28 19:00:02.000,,,,,,,,,,,,,,,,,,,, +884,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,,28.0,8.0,6.0,8.0,8.0,240.0,"Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version..",3.0,13,False,2021-01-28 09:24:24.000,0.1.9,9.0,onnxt5,,,,,1.0,1.0,https://pypi.org/project/onnxt5,65.0,65.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +885,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,,11.0,16.0,14.0,5.0,4.0,239.0,"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,131.0,131.0,,,,,,,,3.0,,2021-04-20 13:53:12.000,,,,,,,,,,,,,,,,,,,, +886,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,,33.0,8.0,72.0,20.0,8.0,225.0,NeuralQA: A Usable Library for Question Answering on Large Datasets with BERT.,3.0,13,False,,,,neuralqa,,,,,4.0,4.0,https://pypi.org/project/neuralqa,84.0,84.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +887,textvec,textvec/textvec,nlp,,https://github.com/textvec/textvec,https://github.com/textvec/textvec,MIT,2018-04-12 14:03:53.000,2023-07-06 21:22:20.000000,2022-07-05 09:43:05,72.0,,26.0,8.0,16.0,4.0,6.0,190.0,Text vectorization tool to outperform TFIDF for classification tasks.,11.0,13,False,2019-09-12 07:41:04.000,2.0,4.0,textvec,,,,['sklearn'],4.0,4.0,https://pypi.org/project/textvec,40.0,40.0,,,,,,,,3.0,,2020-12-03 14:17:09.000,,,,,,,,,,,,,,,,,,,, +888,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.,3.0,13,False,2019-04-09 10:43:15.000,0.4.0,37.0,modelchimp,,modelchimp/modelchimp-server,,,,,https://pypi.org/project/modelchimp,93.0,103.0,,,,https://hub.docker.com/r/modelchimp/modelchimp-server,2019-04-09 10:15:09.532793,,657.0,3.0,,2019-04-09 10:41:20.000,,,,,,,,,,,,,,,,,,,, +889,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,,33.0,14.0,18.0,27.0,16.0,117.0,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,39.0,39.0,,,,,,,,3.0,,2019-06-10 21:04:04.000,,,,,,,,,,,,,,,,,,,, +890,jaxdf,ucl-bug/jaxdf,jax-utils,,https://github.com/ucl-bug/jaxdf,https://github.com/ucl-bug/jaxdf,LGPL-3.0,2021-09-08 16:38:46.000,2023-09-28 07:27:14.000000,2023-08-07 12:45:03,300.0,,7.0,8.0,122.0,11.0,6.0,98.0,A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations.,4.0,13,False,2023-06-28 12:19:42.000,0.2.6,8.0,,,,,['jax'],4.0,4.0,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +891,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,,49.0,Distributed machine learning made simple.,2.0,13,False,2020-12-14 15:25:59.000,0.2.4,5.0,lazycluster,,,,,27.0,27.0,https://pypi.org/project/lazycluster,28.0,28.0,,,,,,,,3.0,,2020-12-14 14:49:33.000,,,,,,,,,,,,,,,,,,,, +892,CometML,comet-ml/examples,ml-experiments,,,https://www.comet.com,,,2023-11-10 20:37:22.000000,,,,,,,,,,Supercharging Machine Learning.,,13,False,2023-11-03 19:58:52.000,3.35.2,268.0,comet_ml,comet_ml,,,,62.0,,https://pypi.org/project/comet_ml,173241.0,173241.0,https://anaconda.org/anaconda/comet_ml,,,,,,,3.0,,2023-11-10 20:37:22.000,62.0,,,,,,,,,,,,,,,,,,, +893,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,,395.0,64.0,6.0,62.0,17.0,1732.0,Many studies have shown that the performance on deep learning is significantly affected by volume of training data...,1.0,12,False,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +894,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,,306.0,87.0,11.0,12.0,6.0,1655.0,Find big moving stocks before they move using machine learning and anomaly detection.,6.0,12,False,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +895,Maze,enlite-ai/maze,reinforcement-learning,,https://github.com/enlite-ai/maze,https://github.com/enlite-ai/maze,Custom,2021-02-11 08:26:37.000,2023-11-08 12:51:07.000000,2022-11-21 12:12:41,1044.0,,11.0,6.0,26.0,1.0,2.0,250.0,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'],2.0,2.0,https://pypi.org/project/maze-rl,79.0,86.0,,,,https://hub.docker.com/r/enliteai/maze,2021-06-24 21:00:27.801118,,242.0,3.0,,2021-12-13 16:04:42.000,,,,,,,,,,,,,,,,,,,, +896,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,,26.0,22.0,44.0,1.0,5.0,199.0,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,64.0,64.0,,,,,,,,3.0,,2021-03-02 02:40:32.000,,,,,,,,,,,,,,,,,,,, +897,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,,9.0,6.0,,2.0,4.0,117.0,Tools for training explainable models using attribution priors.,6.0,12,False,2021-03-16 17:47:18.000,1.0.0,4.0,attributionpriors,,,,"['tensorflow', 'pytorch']",4.0,4.0,https://pypi.org/project/attributionpriors,61.0,61.0,,,,,,,,3.0,,2019-10-31 18:03:05.000,,,,,,,,,,,,,,,,,,,, +898,Hypermax,electricbrainio/hypermax,hyperopt,,https://github.com/genixpro/hypermax,https://github.com/genixpro/hypermax,BSD-3-Clause,2018-07-27 18:43:01.000,2023-09-21 17:36:41.000000,2023-09-21 17:36:39,208.0,1.0,13.0,13.0,5.0,3.0,2.0,112.0,"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,38.0,38.0,,,,,,,,3.0,,2019-10-23 15:40:12.000,,,,,,,,,genixpro/hypermax,,,,,,,,,,, +899,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,,11.0,7.0,4.0,5.0,14.0,92.0,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,317.0,317.0,,,,,,,,3.0,,2022-10-07 09:58:11.751,,,,,,,,,,,,,,,,,,,, +900,contextual-ai,SAP/contextual-ai,interpretability,,https://github.com/SAP/contextual-ai,https://github.com/SAP/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,,11.0,13.0,26.0,4.0,13.0,86.0,"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,45.0,45.0,,,,,,,,3.0,,2021-01-25 04:56:57.000,,,,,,,,,,,,,,,,,,,, +901,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,,8.0,7.0,4.0,14.0,18.0,84.0,"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,73.0,73.0,,,,,,,,3.0,,2021-06-25 14:27:32.000,,,,,,,,,,,,,,,,,,,, +902,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,,2.0,3.0,3.0,7.0,6.0,31.0,nptsne is a numpy compatible python binary package that offers a number of APIs for fast tSNE calculation.,3.0,12,False,2021-12-23 15:53:08.000,1.2.0,3.0,nptsne,,,,,6.0,6.0,https://pypi.org/project/nptsne,66.0,66.0,,,,,,,,3.0,,2021-12-23 15:53:08.000,,,,,,,,,,,,,,,,,,,, +903,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,,416.0,96.0,17.0,48.0,15.0,3245.0,AutoML algorithms for model architecture search at scale.,1.0,11,False,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +904,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,,112.0,47.0,13.0,7.0,20.0,952.0,Genetic neural architecture search with Keras.,18.0,11,False,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +905,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,,143.0,40.0,7.0,15.0,14.0,908.0,Approximate Nearest Neighbor Search for Sparse Data in Python!.,5.0,11,False,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +906,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 14:47:44,37.0,12.0,46.0,14.0,13.0,8.0,9.0,465.0,Library for Textless Spoken Language Processing.,8.0,11,True,,,,,,,,['pytorch'],,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +907,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.,2.0,11,False,,,,headliner,,,,,4.0,4.0,https://pypi.org/project/headliner,186.0,186.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +908,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,,24.0,17.0,51.0,11.0,1.0,130.0,Simple Distributed Deep Learning on TensorFlow.,11.0,11,False,,,2.0,autodist,,,,['tensorflow'],1.0,1.0,https://pypi.org/project/autodist,29.0,29.0,,,,,,,,3.0,,2020-07-16 05:36:19.000,,,,,,,,,,,,,,,,,,,, +909,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,,,43.0,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,45.0,45.0,,,,,,,,3.0,,2021-04-22 15:20:54.000,,,,,,,,,,,,,,,,,,,, +910,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,,75.0,19.0,5.0,3.0,12.0,513.0,An optical music recognition (OMR) system. Converts sheet music to a machine-readable version.,6.0,10,False,,,,,,,,['sklearn'],,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +911,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,,20.0,12.0,41.0,7.0,12.0,363.0,A library for distributed ML training with PyTorch.,6.0,9,False,2022-02-10 16:56:22.000,0.0.9c,1.0,,,,,['pytorch'],,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,, +912,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,,2.0,136.0,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,28.0,28.0,,,,,,,,3.0,,2020-01-26 23:08:16.000,,,,,,,,,,,,,,,,,,,, +913,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,21.0,21.0,,,,,,,,3.0,,2020-11-02 02:25:32.000,,,,,,,,,,,,,,,,,,,, +914,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,,25.0,7.0,2.0,2.0,6.0,138.0,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,18.0,18.0,,,,,,,,3.0,,2020-03-13 20:31:47.000,,,,,,,,,,,,,,,,,,,, +915,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,,4.0,6.0,,1.0,,54.0,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,22.0,22.0,https://anaconda.org/conda-forge/tslumen,,,,,,,3.0,,2022-11-22 17:50:34.944,1.0,,,,,,,,,,,,,,,,,,, diff --git a/latest-changes.md b/latest-changes.md index 0ea372d2..e781c411 100644 --- a/latest-changes.md +++ b/latest-changes.md @@ -2,29 +2,29 @@ _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._ -- torchvision (πŸ₯‡42 Β· ⭐ 15K Β· πŸ“ˆ) - Datasets, Transforms and Models specific to Computer Vision. BSD-3 -- PyQtGraph (πŸ₯ˆ36 Β· ⭐ 3.5K Β· πŸ“ˆ) - Fast data visualization and GUI tools for scientific / engineering.. MIT -- UMAP (πŸ₯ˆ34 Β· ⭐ 6.5K Β· πŸ“ˆ) - Uniform Manifold Approximation and Projection. BSD-3 -- Tesseract (πŸ₯ˆ34 Β· ⭐ 5.2K Β· πŸ“ˆ) - Python-tesseract is an optical character recognition (OCR).. Apache-2 -- english-words (πŸ₯ˆ28 Β· ⭐ 9.5K Β· πŸ’€) - A text file containing 479k English words for all your.. Unlicense -- sklearn-crfsuite (πŸ₯ˆ28 Β· ⭐ 420 Β· πŸ’€) - scikit-learn inspired API for CRFsuite. MIT -- EfficientNet-PyTorch (πŸ₯ˆ27 Β· ⭐ 7.6K Β· πŸ’€) - A PyTorch implementation of EfficientNet and.. Apache-2 -- scikit-posthocs (πŸ₯‰26 Β· ⭐ 300 Β· πŸ“ˆ) - Multiple Pairwise Comparisons (Post Hoc) Tests in.. MIT -- scikit-rebate (πŸ₯‰20 Β· ⭐ 390 Β· πŸ’€) - A scikit-learn-compatible Python implementation of.. MIT -- Skater (πŸ₯‰15 Β· ⭐ 1.1K Β· πŸ“ˆ) - Python Library for Model Interpretation/Explanations. ❗️UPL-1.0 +- Keras (πŸ₯‡50 Β· ⭐ 60K Β· πŸ“ˆ) - Deep Learning for humans. Apache-2 +- scipy (πŸ₯‡49 Β· ⭐ 12K Β· πŸ“ˆ) - Ecosystem of open-source software for mathematics, science, and.. BSD-3 +- Theano (πŸ₯ˆ38 Β· ⭐ 9.8K Β· πŸ’€) - Theano was a Python library that allows you to define, optimize, and.. BSD-3 +- Coqui TTS (πŸ₯‡37 Β· ⭐ 22K Β· πŸ“ˆ) - - a deep learning toolkit for Text-to-Speech, battle-.. MPL-2.0 +- carla (πŸ₯‡36 Β· ⭐ 9.9K Β· πŸ“ˆ) - Open-source simulator for autonomous driving research. MIT +- Face Recognition (πŸ₯ˆ35 Β· ⭐ 50K Β· πŸ’€) - The worlds simplest facial recognition api for Python.. MIT +- opencv-python (πŸ₯ˆ33 Β· ⭐ 3.8K Β· πŸ“ˆ) - Automated CI toolchain to produce precompiled opencv-python,.. MIT +- Augmentor (πŸ₯‰27 Β· ⭐ 5K Β· πŸ’€) - Image augmentation library in Python for machine learning. MIT +- SKLL (πŸ₯‰26 Β· ⭐ 540 Β· πŸ“ˆ) - SciKit-Learn Laboratory (SKLL) makes it easy to run.. ❗️BSD-1-Clause +- deltapy (πŸ₯‰13 Β· ⭐ 520 Β· πŸ’€) - DeltaPy - Tabular Data Augmentation (by @firmai). MIT ## πŸ“‰ 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._ -- Theano (πŸ₯ˆ34 Β· ⭐ 9.8K Β· πŸ’€) - Theano was a Python library that allows you to define,.. ❗Unlicensed -- opencv-python (πŸ₯‰27 Β· ⭐ 3.8K Β· πŸ“‰) - Automated CI toolchain to produce precompiled opencv-python,.. MIT -- Neural Network Libraries (πŸ₯‰26 Β· ⭐ 2.7K Β· πŸ“‰) - Neural Network Libraries. Apache-2 -- happy-transformer (πŸ₯‰23 Β· ⭐ 480 Β· πŸ“‰) - Happy Transformer makes it easy to fine-tune and.. Apache-2 huggingface -- DeepSpeech (πŸ₯‰22 Β· ⭐ 23K Β· πŸ“‰) - DeepSpeech is an open source embedded (offline, on-.. MPL-2.0 -- PyText (πŸ₯‰22 Β· ⭐ 6.4K Β· πŸ’€) - A natural language modeling framework based on PyTorch. ❗Unlicensed -- Pillow-SIMD (πŸ₯‰22 Β· ⭐ 2K Β· πŸ“‰) - The friendly PIL fork. ❗️PIL -- Guild AI (πŸ₯‰22 Β· ⭐ 830 Β· πŸ“‰) - Experiment tracking, ML developer tools. Apache-2 -- deltapy (πŸ₯‰10 Β· ⭐ 520 Β· πŸ’€) - DeltaPy - Tabular Data Augmentation (by @firmai). ❗Unlicensed -- Headliner (πŸ₯‰10 Β· ⭐ 230 Β· πŸ’€) - Easy training and deployment of seq2seq models. ❗Unlicensed +- PySpark (πŸ₯ˆ38 Β· ⭐ 37K Β· πŸ“‰) - Apache Spark Python API. Apache-2 +- triton (πŸ₯‡38 Β· ⭐ 8.8K Β· πŸ“‰) - Development repository for the Triton language and compiler. MIT +- flair (πŸ₯‡37 Β· ⭐ 13K Β· πŸ“‰) - A very simple framework for state-of-the-art Natural.. ❗Unlicensed +- PyFlink (πŸ₯ˆ34 Β· ⭐ 22K Β· πŸ“‰) - Apache Flink Python API. Apache-2 +- CNTK (πŸ₯‰26 Β· ⭐ 17K Β· πŸ’€) - Microsoft Cognitive Toolkit (CNTK), an open source deep-learning.. ❗Unlicensed +- langid (πŸ₯‰24 Β· ⭐ 2.2K Β· πŸ’€) - Stand-alone language identification system. ❗Unlicensed +- keras-ocr (πŸ₯‰24 Β· ⭐ 1.3K Β· πŸ“‰) - A packaged and flexible version of the CRAFT text detector.. MIT +- dstack (πŸ₯‰24 Β· ⭐ 850 Β· πŸ“‰) - dstack simplifies training, fine-tuning, and deploying generative.. MPL-2.0 +- Objax (πŸ₯‰22 Β· ⭐ 740 Β· πŸ“‰) - Apache-2 +- DESlib (πŸ₯‰16 Β· ⭐ 450 Β· πŸ“‰) - A Python library for dynamic classifier and ensemble selection. BSD-3