Python package built to ease deep learning on graph, on top of existing DL frameworks.

Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).

Deep Reinforcement Learning for Keras.

Intel® Nervana™ reference deep learning framework committed to best performance on all hardware

rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.

Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning

Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms

Using Keras and Deep Q-Network to Play FlappyBird

[DEPRECATED] Compilation of pre-trained deep learning models with demos and code.

Original Python version of Intel® Nervana™ Graph

neon model zoo

Implementation of selected reinforcement learning algorithms in Tensorflow. A3C, DDPG, REINFORCE, DQN, etc.

gaffer-tools is deprecated. Use https://github.com/gchq/gafferpy instead

Comparison of several Deep Reinforcement Learning frameworks.