sheldonnxy's Stars
YanjieZe/Paper-List
A paper list of my history reading. Robotics, Learning, Vision.
labmlai/annotated_deep_learning_paper_implementations
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
robotics-survey/Awesome-Robotics-Foundation-Models
karpathy/nn-zero-to-hero
Neural Networks: Zero to Hero
PKU-Alignment/omnisafe
OmniSafe is an infrastructural framework for accelerating SafeRL research.
dair-ai/ML-Papers-Explained
Explanation to key concepts in ML
Replicable-MARL/MARLlib
One repository is all that is necessary for Multi-agent Reinforcement Learning (MARL)
Farama-Foundation/Gymnasium
An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
microsoft/AI-For-Beginners
12 Weeks, 24 Lessons, AI for All!
PKU-MARL/Multi-Agent-Transformer
rommeoijcai2019/rommeo
IJCAI 2019 - Regularized Opponent Model with Maximum Entropy Objective (ROMMEO)
ying-wen/gr2
Appendix and Code for Modelling Bounded Rationality in Multi-Agent Interactions by Generalized Recursive Reasoning
huawei-noah/SMARTS
Scalable Multi-Agent RL Training School for Autonomous Driving
yunjey/pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
ShangtongZhang/reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
p-christ/Deep-Reinforcement-Learning-Algorithms-with-PyTorch
PyTorch implementations of deep reinforcement learning algorithms and environments
LantaoYu/MARL-Papers
Paper list of multi-agent reinforcement learning (MARL)
chauncygu/Safe-Reinforcement-Learning-Baselines
The repository is for safe reinforcement learning baselines.
utiasDSL/safe-control-gym
PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL
Unity-Technologies/ml-agents
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.
PKUFlyingPig/cs-self-learning
计算机自学指南
utiasDSL/gym-pybullet-drones
PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control
lijin-THU/notes-python
中文 Python 笔记
wsdjeg/Learn-Vim_zh_cn
聪明地学习Vim
sweetice/Deep-reinforcement-learning-with-pytorch
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
floodsung/Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
AtsushiSakai/PythonRobotics
Python sample codes for robotics algorithms.
keon/awesome-nlp
:book: A curated list of resources dedicated to Natural Language Processing (NLP)
programthink/zhao
【编程随想】整理的《太子党关系网络》,专门揭露赵国的权贵
programthink/books
【编程随想】收藏的电子书清单(多个学科,含下载链接)