This repository is first and foremost a comprehensive machine learning framework for the game of Go, focussing on deep learning techniques. What you'll find here is a library that builds up from the game-play basics to very advanced techniques. In particular, you find code for early approaches in game AI, intermediate techniques using deep learning, to implementations of AlphaGo and AlphaGo Zero - all presented in one common framework. You can install this library with pip and follow the examples in the code folder. On the other hand, this repository at the same time contains Code, and sample chapters for the book "Deep Learning and the Game of Go" (Manning), available for early access here, which ties into the library and teaches its components bit by biy. If you're following the code samples from the book, check out the branches for individual chapters.