21 Lessons, Get Started Building with Generative AI

A game theoretic approach to explain the output of any machine learning model.

面向开发者的 LLM 入门教程，吴恩达大模型系列课程中文版

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

Kolmogorov Arnold Networks

Natural Language Processing Tutorial for Deep Learning Researchers

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

Pytorch🍊🍉 is delicious, just eat it! 😋😋

Pytorch❤️ Keras 😋😋

Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow

PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..

The repository is for safe reinforcement learning baselines.

machine learning with logical rules in Python

RLeXplore provides stable baselines of exploration methods in reinforcement learning, such as intrinsic curiosity module (ICM), random network distillation (RND) and rewarding impact-driven explora…

Open-source code for paper CDT: Cascading Decision Trees for Explainable Reinforcement Learning