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.

The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.

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

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.

Open-source simulator for autonomous driving research.

FinRL: Financial Reinforcement Learning. 🔥

Trax — Deep Learning with Clear Code and Speed

强化学习中文教程（蘑菇书），在线阅读地址：https://datawhalechina.github.io/easy-rl/

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

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

(⌐■_■) - Deep Reinforcement Learning instrumenting bettercap for WiFi pwning.

A course in reinforcement learning in the wild

Repo for the Deep Reinforcement Learning Nanodegree program

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

Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch

Tensorforce: a TensorFlow library for applied reinforcement learning

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).

Minimal and Clean Reinforcement Learning Examples

This repo contains the syllabus of the Hugging Face Deep Reinforcement Learning Course.