There are 21 repositories under combinatorial-optimization topic.
Awesome machine learning for combinatorial optimization papers.
A research protocol for deep graph matching.
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 'An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem' (INFORMS Annual Meeting Session 2019)
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
Conjure: The Automated Constraint Modelling Tool
[NeurIPS 2023] DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization
A lightweight memory allocator for hardware-accelerated machine learning
Parallel Tabu Search and Genetic Algorithm for the Job Shop Schedule Problem with Sequence Dependent Set Up Times
Generic tensor networks for solution space properties.
Summarize Massive Datasets using Submodular Optimization
C++ implementation of algorithms for finding perfect matchings in general graphs
A benchmarking repo with various solution methods to various machine scheduling problems
Tropical tensor network for spin glasses
Amazing Collection Vehicle Routing Problem
Kiwi is a minimalist and extendable Constraint Programming (CP) solver.
a payment application intended for deployment by the united states treasury that replaces banking with accounting
C++ metaheuristics modeler/solver for general integer optimization problems.
ecr: Evolutionary Computation in R (version 2)
Learning 2-opt Heuristics for the TSP via Deep Reinforcement Learning
Solving tsp (travel sales problem) using ruin & recreate method.
JAX + Flax implementation of "Combinatorial Optimization with Physics-Inspired Graph Neural Networks" by Schuetz et al.
Code accompanying the paper "Learning Permutations with Sinkhorn Policy Gradient"
A Hyper-Heuristic framework
[NeurIPS 2023] T2T: From Distribution Learning in Training to Gradient Search in Testing for Combinatorial Optimization