hanshublyh's Stars
d2l-ai/d2l-zh
《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
microsoft/autogen
A programming framework for agentic AI 🤖
thunlp/GNNPapers
Must-read papers on graph neural networks (GNN)
thu-ml/tianshou
An elegant PyTorch deep reinforcement learning library.
Farama-Foundation/Gymnasium
An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
sweetice/Deep-reinforcement-learning-with-pytorch
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
AI4Finance-Foundation/ElegantRL
Massively Parallel Deep Reinforcement Learning. 🔥
csujedihy/lc-all-solutions
My own leetcode solutions by python
Thinklab-SJTU/awesome-ml4co
Awesome machine learning for combinatorial optimization papers.
youngfish42/Awesome-FL
Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)
alibaba/FederatedScope
An easy-to-use federated learning platform
araffin/rl-baselines-zoo
A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.
Lizhi-sjtu/DRL-code-pytorch
Concise pytorch implements of DRL algorithms, including REINFORCE, A2C, DQN, PPO(discrete and continuous), DDPG, TD3, SAC.
intelligent-environments-lab/CityLearn
Official reinforcement learning environment for demand response and load shaping
khalil-research/PyEPO
A PyTorch-based End-to-End Predict-then-Optimize Library for Linear and Integer Programming
ai4co/rl4co
A PyTorch library for all things Reinforcement Learning (RL) for Combinatorial Optimization (CO)
VITA-Group/Open-L2O
Open-L2O: A Comprehensive and Reproducible Benchmark for Learning to Optimize Algorithms
AGI-Edgerunners/LLM-Optimizers-Papers
Must-read Papers on Large Language Model (LLM) as Optimizers and Automatic Optimization for Prompting LLMs.
rruisong/pytorch_federated_learning
PyTorch Federated Learning (easy to use and extend)
yeshenpy/Awesome-Evolutionary-Reinforcement-Learning
Research Papers and Code Repository on the Integration of Evolutionary Algorithms and Reinforcement Learning
TsingZ0/FedALA
AAAI 2023 accepted paper, FedALA: Adaptive Local Aggregation for Personalized Federated Learning
flint-xf-fan/Byzantine-Federated-RL
code for NeurIPS2021 paper on Federated Reinforcement Learning with Byzantine Resilience
awslabs/or-rl-benchmarks
The source code for the paper: 'ORL: Reinforcement Learning Benchmarks for Online Stochastic Optimization Problems'
XinJingHao/PPO-Discrete-Pytorch
A clean and robust Pytorch implementation of PPO on Discrete action space
Xi-L/PMOCO
Code for ICLR2022 Paper: Pareto Set Learning for Neural Multi-objective Combinatorial Optimization
Thinklab-SJTU/T2TCO
[NeurIPS 2023] T2T: From Distribution Learning in Training to Gradient Search in Testing for Combinatorial Optimization
cornell-orie/ORSuite
LucasBoTang/LeetCode
My solutions for LeetCode
YaoYongtao/LeetCode-1
LeetCode
yongchunli-13/Sparse-PCA