LeizhenWang's Stars
MiniZinc/minizinc-python
Access to all MiniZinc functionality directly from Python
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)
paulorocosta/ai-for-tsp-competition
This is the official repository of the AI for TSP competition at IJCAI 2021
InternLM/lagent
A lightweight framework for building LLM-based agents
asu-trans-ai-lab/DTALite
vwxyzjn/cleanrl
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
Curt-Park/rainbow-is-all-you-need
Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow
microsoft/autogen
A programming framework for agentic AI 🤖
VITA-Group/Open-L2O
Open-L2O: A Comprehensive and Reproducible Benchmark for Learning to Optimize Algorithms
polixir/RLAssistant
RLA is a tool for managing your RL experiments automatically
XinJingHao/DRL-Pytorch
Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)
jdlph/Path4GMNS
An open-source, cross-platform, lightweight, and fast Python path engine for networks encoded in GMNS.
jdlph/TransOMS
State-of-the-art open-source applications for Transportation Optimization, Modeling, and Simulation
p-ortmann/dyntapy
kengz/SLM-Lab
Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".
paulorocosta/learning-2opt-drl
Learning 2-opt Heuristics for the TSP via Deep Reinforcement Learning
facebookresearch/neural-rewriter
Learning to Perform Local Rewriting for Combinatorial Optimization
rlopt/l2i
tsinghua-fib-lab/DRL-urban-planning
A deep reinforcement learning (DRL) based approach for spatial layout of land use and roads in urban communities. (Nature Computational Science)
nicknochnack/ReinforcementLearningCourse
BIT-aerial-robotics/AquaML
reworkd/AgentGPT
🤖 Assemble, configure, and deploy autonomous AI Agents in your browser.
facebookresearch/LaMCTS
The release codes of LA-MCTS with its application to Neural Architecture Search.
FuxiRL/DunkCityDynasty
tkipf/pygcn
Graph Convolutional Networks in PyTorch
openai/phasic-policy-gradient
Code for the paper "Phasic Policy Gradient"
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, ... 🧠
dmlc/dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
gordicaleksa/pytorch-GAT
My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!