Python implementations of contextual bandits algorithms

Automatic extraction of relevant features from time series:

Deep universal probabilistic programming with Python and PyTorch

Python Implementation of Reinforcement Learning: An Introduction

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Tensorforce: a TensorFlow library for applied reinforcement learning

Code that goes along with my screencasts.

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

An Open Source Machine Learning Framework for Everyone

机器学习相关教程

Stanford Unsupervised Feature Learning and Deep Learning Tutorial