There are 24 repositories under combinatorial-optimization topic.
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
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.
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
A library for topological network optimization
Combinatorial optimization layers for machine learning pipelines
Summarize Massive Datasets using Submodular Optimization
Efficiently discovering algorithms via LLMs with evolutionary search and reinforcement learning.
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
L2O/NCO codes from CIAM Group at SUSTech, Shenzhen, China
[ICML 2024] "MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts"
Implementation of ECO-DQN as reported in "Exploratory Combinatorial Optimization with Reinforcement Learning".
C++ implementation of algorithms for finding perfect matchings in general graphs
RouteOpt
[NeurIPS 2023] T2T: From Distribution Learning in Training to Gradient Search in Testing for Combinatorial Optimization
JAX + Flax implementation of "Combinatorial Optimization with Physics-Inspired Graph Neural Networks" by Schuetz et al.
Tropical tensor network for spin glasses