aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

The fastai book, published as Jupyter Notebooks

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

100-Days-Of-ML-Code中文版

Natural Language Processing Tutorial for Deep Learning Researchers

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

wtfpython的中文翻译/持续🚧.../ 能力有限，欢迎帮我改进翻译

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

YSDA course in Natural Language Processing

Plain python implementations of basic machine learning algorithms

A clear, concise, simple yet powerful and efficient API for deep learning.

A series of Jupyter notebooks with Chinese comment that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

Experiments with Deep Learning

A course in numerical methods with Python for engineers and scientists: currently 5 learning modules, with student assignments.

A series of machine learning tutorials for Torch7