A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

The fastai deep learning library

💫 Industrial-strength Natural Language Processing (NLP) in Python

[Deprecated] This library has been renamed to "Stanza". Latest development at: https://github.com/stanfordnlp/stanza

A collection of various deep learning architectures, models, and tips

OpenMMLab Detection Toolbox and Benchmark

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning …

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

A curated list of awesome Machine Learning frameworks, libraries and software.

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials,…

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

Deep Learning for humans

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

winutils.exe hadoop.dll and hdfs.dll binaries for hadoop windows

Neoversity Master's degree

Data Science Resources for interview preparation and learning

scikit-learn: machine learning in Python

A python Linear Programming API