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 deep learning library

A game theoretic approach to explain the output of any machine learning model.

Learn OpenCV : C++ and Python Examples

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

12 Weeks, 24 Lessons, IoT for All!

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

Material for gpu-mode lectures

Plain python implementations of basic machine learning algorithms

A crash course in six episodes for software developers who want to become machine learning practitioners.

A library for debugging/inspecting machine learning classifiers and explaining their predictions

Accelerating Deep Learning with Multiprocess Image Augmentation in Keras