combinatorial-optimization

Google's Operations Research tools:

Awesome machine learning for combinatorial optimization papers.

A research protocol for deep graph matching.

A PyTorch library for all things Reinforcement Learning (RL) for Combinatorial Optimization (CO)

The CP-SAT Primer: Using and Understanding Google OR-Tools' CP-SAT Solver

A curated list of mathematical optimization courses, lectures, books, notes, libraries, frameworks and software.

Extensible Combinatorial Optimization Learning Environments

A Python Graph Matching Toolkit.

Code for the paper 'An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem' (INFORMS Annual Meeting Session 2019)

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.

NVIDIA cuOpt examples for decision optimization

Recent research papers about Foundation Models for Combinatorial Optimization

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

An OpenAi Gym environment for the Job Shop Scheduling problem.

[NeurIPS 2023] DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization

A library for topological network optimization

A lightweight memory allocator for hardware-accelerated machine learning

[NeurIPS 2023] DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization

A benchmarking repo with various solution methods to various machine scheduling problems

Combinatorial optimization layers for machine learning pipelines