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

Extensible Combinatorial Optimization Learning Environments

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 net…

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)

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

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

An OpenAi Gym environment for the Job Shop Scheduling problem.

Recent research papers about Foundation Models 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

Combinatorial optimization layers for machine learning pipelines

Generic tensor networks for solution space properties.

Conjure: The Automated Constraint Modelling Tool

Parallel Tabu Search and Genetic Algorithm for the Job Shop Schedule Problem with Sequence Dependent Set Up Times