Cheng Zhou's repositories
android_builder
A useful tool for building android artifacts via Github Action
tvboxTEST
TVBox(进恩哥版)，内置源，随时更新内置源，不必担心不能用
clash_for_windows_pkg
A Windows/macOS/Linux GUI based on Clash
go-proxy-bingai
用 Vue3 和 Go 搭建的微软 New Bing 演示站点，拥有一致的 UI 体验，支持 ChatGPT 提示词，国内可用。
annotated_deep_learning_paper_implementations
🧑🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
Universal_Robots_ROS2_Driver
Universal Robots ROS2 driver supporting CB3 and e-Series
librealsense
Intel® RealSense™ SDK
baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
MixedRealityToolkit-Unity
Mixed Reality Toolkit (MRTK) provides a set of components and features to accelerate cross-platform MR app development in Unity.
IsaacGymEnvs
Isaac Gym Reinforcement Learning Environments
DEX
[ICRA'23] Demonstration-Guided Reinforcement Learning with Efficient Exploration for Task Automation of Surgical Robot
Hands-on-RL
https://hrl.boyuai.com/
v-hacd
Automatically exported from code.google.com/p/v-hacd
gym
A toolkit for developing and comparing reinforcement learning algorithms.
PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.
easy-rl
强化学习中文教程（蘑菇书），在线阅读地址：https://datawhalechina.github.io/easy-rl/
netron
Visualizer for neural network, deep learning, and machine learning models
Deep-Reinforcement-Learning-Algorithms-with-PyTorch
PyTorch implementations of deep reinforcement learning algorithms and environments
stable-baselines3
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
ElegantRL
Cloud-native Deep Reinforcement Learning. Please star. 🔥
Deep-reinforcement-learning-with-pytorch
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
hindsight-experience-replay
This is the pytorch implementation of Hindsight Experience Replay (HER) - Experiment on all fetch robotic environments.
robotic-grasping
Antipodal Robotic Grasping using GR-ConvNet. IROS 2020.
UR5E_robot_gym_env_Real_and_Sim
Reinforcement learning environment for UR5e robot with OPENAI gym like format. Include both simulation and real parts.