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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Updated
Oct 15, 2023 - Python
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!!
Open-source simulator for autonomous driving research.
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
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/
Trax — Deep Learning with Clear Code and Speed
(⌐■_■) - Deep Reinforcement Learning instrumenting bettercap for WiFi pwning.
Lab Materials for MIT 6.S191: Introduction to Deep Learning
Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).
A course in reinforcement learning in the wild
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
Repo for the Deep Reinforcement Learning Nanodegree program
Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
This repo contains the syllabus of the Hugging Face Deep Reinforcement Learning Course.
Implementations from the free course Deep Reinforcement Learning with Tensorflow and 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).
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