A toolkit for developing and comparing reinforcement learning algorithms.

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

A framework for training and evaluating AI models on a variety of openly available dialogue datasets.

Setup and customize deep learning environment in seconds.

Progressive Growing of GANs for Improved Quality, Stability, and Variation

Image super-resolution through deep learning

Game Boy emulator written in Python

A fork of OpenAI Baselines, implementations of reinforcement learning algorithms

An all-in-one Docker image for deep learning. Contains all the popular DL frameworks (TensorFlow, Theano, Torch, Caffe, etc.)

Best practice and tips & tricks to write scientific papers in LaTeX, with figures generated in Python or Matlab.

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKT…

A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)

Accelerated deep learning R&D

Infinite adventures await!

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

DeepWalk - Deep Learning for Graphs

A TensorFlow implementation of the Differentiable Neural Computer.

Code for the paper "Improved Techniques for Training GANs"

Reinforcement Learning in PyTorch

Simple and easily configurable grid world environments for reinforcement learning

A simple interface for editing natural photos with generative neural networks.

Python Multi-Agent Reinforcement Learning framework

Author's PyTorch implementation of TD3 for OpenAI gym tasks

TensorFlow implementation of Deep Reinforcement Learning papers

Assignments for CS294-112.

Question answering dataset featured in "Teaching Machines to Read and Comprehend

Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.

ChainerRL is a deep reinforcement learning library built on top of Chainer.