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.
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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
FinRL®: Financial Reinforcement Learning. 🔥
强化学习中文教程（蘑菇书🍄），在线阅读地址：https://datawhalechina.github.io/easy-rl/
Open-source simulator for autonomous driving research.
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
(⌐■_■) - Deep Reinforcement Learning instrumenting bettercap for WiFi pwning.
A course in reinforcement learning in the wild
FinRL-X: An AI-Native Modular Infrastructure for Quantitative Trading
Tensorforce: a TensorFlow library for applied reinforcement learning
An offline deep reinforcement learning library
Scalable, event-driven, deep-learning-friendly backtesting library
Gibson Environments: Real-World Perception for Embodied Agents
Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving
ROS package for dynamic obstacle avoidance for ground robots trained with deep RL
An OpenAI gym wrapper for CARLA simulator
Trading Environment(OpenAI Gym) + DDQN (Keras-RL)
Generative models for transcriptomic-driven or protein-driven molecular design (PaccMann^RL).