Awesome machine learning for combinatorial optimization papers.

A research protocol for deep graph matching.

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…

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

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

A Python Graph Matching Toolkit.

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

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

An OpenAi Gym environment for the Job Shop Scheduling problem.

A library for topological network optimization

Combinatorial optimization layers for machine learning pipelines

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

Conjure: The Automated Constraint Modelling Tool

A lightweight memory allocator for hardware-accelerated machine learning

Generic tensor networks for solution space properties.

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

Summarize Massive Datasets using Submodular Optimization

Implementation of ECO-DQN as reported in "Exploratory Combinatorial Optimization with Reinforcement Learning".

Infrastructure for Ordering using Seriation - R Package