Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research

Unity Machine Learning Agents Toolkit

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

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

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

A course in reinforcement learning in the wild

Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning

Repo for the Deep Reinforcement Learning Nanodegree program

Tensorforce: a TensorFlow library for applied reinforcement learning

Minimal and Clean Reinforcement Learning Examples

Summaries of machine learning papers

Implementations from the free course Deep Reinforcement Learning with Tensorflow

Modularized Implementation of Deep RL Algorithms in PyTorch

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

TensorFlow implementation of Deep Reinforcement Learning papers

Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)

Lab Materials for MIT 6.S191: Introduction to Deep Learning

DeepTraffic is a deep reinforcement learning competition, part of the MIT Deep Learning series.

[ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning

Artificial intelligence for the Snake game.

Top 200 deep learning Github repositories sorted by the number of stars.

Rainbow: Combining Improvements in Deep Reinforcement Learning

Minimal Deep Q Learning (DQN & DDQN) implementations in Keras

TensorFlow and Deep Learning Tutorials

PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".

PyGame Learning Environment (PLE) -- Reinforcement Learning Environment in Python.

Reinforcement learning environments with musculoskeletal models