SH2OCN

paper-reading

深度学习经典、新论文逐段精读

hugo-blox-builder

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tianshou

An elegant PyTorch deep reinforcement learning library.

Deep-Reinforcement-Learning-Algorithms-with-PyTorch

PyTorch implementations of deep reinforcement learning algorithms and environments

stable-baselines

A fork of OpenAI Baselines, implementations of reinforcement learning algorithms

DeepRL

Modularized Implementation of Deep RL Algorithms in PyTorch

GAT

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

benchmarking-gnns

Repository for benchmarking graph neural networks

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!

DIG

A library for graph deep learning research

awesome-ml4co

Awesome machine learning for combinatorial optimization papers.

GNNs-Recipe

🟠 A study guide to learn about Graph Neural Networks (GNNs)

attention-learn-to-route

Attention based model for learning to solve different routing problems

2024-Tech-OA

List of Tech Company OAs. Save your time from finding them all over the internet.

neural-combinatorial-rl-pytorch

PyTorch implementation of Neural Combinatorial Optimization with Reinforcement Learning https://arxiv.org/abs/1611.09940

efficient-gnns

Code and resources on scalable and efficient Graph Neural Networks

ppuda

Code for Parameter Prediction for Unseen Deep Architectures (NeurIPS 2021)

graph_comb_opt

Implementation of "Learning Combinatorial Optimization Algorithms over Graphs"

pytorch-drl4vrp

Implementation of: Nazari, Mohammadreza, et al. "Deep Reinforcement Learning for Solving the Vehicle Routing Problem." arXiv preprint arXiv:1802.04240 (2018).

GCN-PyTorch

Graph Convolution Network for PyTorch

or-gym

Environments for OR and RL Research

learn2branch

Exact Combinatorial Optimization with Graph Convolutional Neural Networks (NeurIPS 2019)

learning-tsp

Code for the paper 'Learning TSP Requires Rethinking Generalization' (CP 2021)

GRAPE

HCVRP_DRL

This repo implements our paper, "Deep Reinforcement Learning for Solving the Heterogeneous Capacitated Vehicle Routing Problem"

human-level-control-through-deep-reinforcement-learning

Deep Q Networks

pytorch_geometric_edge

Edge representation learning library

OR_location_routing_problem_study

Facility Location and routing problems: Survey, Models and Algorithm

GeCO

Generators for Combinatorial Optimization

neural_combinatorial_optimization

A peper list for machine learning models solving combinatorial problems, NP-hard problems and problems in graphs.