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.

Recent research papers about Foundation Models for Combinatorial Optimization

NVIDIA cuOpt examples for decision optimization

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.

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 lightweight memory allocator for hardware-accelerated machine learning

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

A library for topological network optimization

A fast and fearless Collision Detection Engine for 2D nesting problems

Combinatorial optimization layers for machine learning pipelines

Efficiently discovering algorithms via LLMs with evolutionary search and reinforcement learning.

Summarize Massive Datasets using Submodular Optimization

Generic tensor networks for solution space properties.

Conjure: The Automated Constraint Modelling Tool

BCP-MAPF – branch-and-cut-and-price for multi-agent path finding

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

L2O/NCO codes from CIAM Group at SUSTech, Shenzhen, China

Infrastructure for Ordering using Seriation - R Package

[ICML 2024] "MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts"

A modular Python library for creating, solving, and visualizing job shop scheduling problems.