SH2OCN's Stars
perixtar/2024-Tech-OA
List of Tech Company OAs. Save your time from finding them all over the internet.
HugoBlox/hugo-blox-builder
🚨 GROW YOUR AUDIENCE WITH HUGOBLOX! 🚀 HugoBlox is an easy, fast no-code website builder for researchers, entrepreneurs, data scientists, and developers. Build stunning sites in minutes. 适合研究人员、企业家、数据科学家和开发者的简单快速无代码网站构建器。用拖放功能、可定制模板和内置SEO工具快速创建精美网站!
jingwenli0312/HCVRP_DRL
This repo implements our paper, "Deep Reinforcement Learning for Solving the Heterogeneous Capacitated Vehicle Routing Problem"
mveres01/pytorch-drl4vrp
Implementation of: Nazari, Mohammadreza, et al. "Deep Reinforcement Learning for Solving the Vehicle Routing Problem." arXiv preprint arXiv:1802.04240 (2018).
pbielak/pytorch_geometric_edge
Edge representation learning library
pemami4911/neural-combinatorial-rl-pytorch
PyTorch implementation of Neural Combinatorial Optimization with Reinforcement Learning https://arxiv.org/abs/1611.09940
divelab/DIG
A library for graph deep learning research
maxiaoba/GRAPE
CharJon/GeCO
Generators for Combinatorial Optimization
chaitjo/efficient-gnns
Code and resources on scalable and efficient Graph Neural Networks
hubbs5/or-gym
Environments for OR and RL Research
dair-ai/GNNs-Recipe
🟠 A study guide to learn about Graph Neural Networks (GNNs)
graphdeeplearning/benchmarking-gnns
Repository for benchmarking graph neural networks
xNok/OR_location_routing_problem_study
Facility Location and routing problems: Survey, Models and Algorithm
p-christ/Deep-Reinforcement-Learning-Algorithms-with-PyTorch
PyTorch implementations of deep reinforcement learning algorithms and environments
chaitjo/learning-tsp
Code for the paper 'Learning TSP Requires Rethinking Generalization' (CP 2021)
Thinklab-SJTU/awesome-ml4co
Awesome machine learning for combinatorial optimization papers.
hill-a/stable-baselines
A fork of OpenAI Baselines, implementations of reinforcement learning algorithms
omargup/neural_combinatorial_optimization
A peper list for machine learning models solving combinatorial problems, NP-hard problems and problems in graphs.
thu-ml/tianshou
An elegant PyTorch deep reinforcement learning library.
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!
PetarV-/GAT
Graph Attention Networks (https://arxiv.org/abs/1710.10903)
Hanjun-Dai/graph_comb_opt
Implementation of "Learning Combinatorial Optimization Algorithms over Graphs"
wouterkool/attention-learn-to-route
Attention based model for learning to solve different routing problems
tjwhitaker/human-level-control-through-deep-reinforcement-learning
Deep Q Networks
ShangtongZhang/DeepRL
Modularized Implementation of Deep RL Algorithms in PyTorch
ds4dm/learn2branch
Exact Combinatorial Optimization with Graph Convolutional Neural Networks (NeurIPS 2019)
mli/paper-reading
深度学习经典、新论文逐段精读
facebookresearch/ppuda
Code for Parameter Prediction for Unseen Deep Architectures (NeurIPS 2021)
dragen1860/GCN-PyTorch
Graph Convolution Network for PyTorch