TheLeprechaun25 / NCOLibLinks
The Neural Combinatorial Optimization Library (NCOLib) is an accessible software library designed to simplify the application of neural network models and deep learning algorithms to solve combinatorial optimization problems.
☆15Updated last month
Alternatives and similar repositories for NCOLib
Users that are interested in NCOLib are comparing it to the libraries listed below
Sorting:
- Official repository for the TMLR paper "Self-Improvement for Neural Combinatorial Optimization: Sample Without Replacement, but Improveme…☆27Updated 3 months ago
- Neural Combinatorial Optimization☆62Updated this week
- ☆40Updated last year
- This repo implements our paper, "Learning to Search Feasible and Infeasible Regions of Routing Problems with Flexible Neural k-Opt", whic…☆51Updated 11 months ago
- PyTorch code for the NAR4TSP.☆23Updated 7 months ago
- ☆42Updated last month
- L2O/NCO codes from CIAM Group at SUSTech, Shenzhen, China☆80Updated last month
- ☆21Updated 2 years ago
- code repo for paper Unsupervised Learning for Solving the Travelling Salesman Problem☆53Updated last year
- ☆29Updated last year
- PARCO: Parallel AutoRegressive Combinatorial Optimization☆23Updated last month
- [ICML 2023] "Towards Omni-generalizable Neural Methods for Vehicle Routing Problems"☆51Updated 3 weeks ago
- [ICML'24 FM-Wild Oral] RouteFinder: Towards Foundation Models for Vehicle Routing Problems☆70Updated last month
- [NeurIPS 2024] "Collaboration! Towards Robust Neural Methods for Routing Problems"☆20Updated 7 months ago
- ☆26Updated last year
- Efficient Active Search☆52Updated 3 years ago
- Official implementation of IJCAI'24 paper "Towards Generalizable Neural Solvers for Vehicle Routing Problems via Ensemble with Transferra…☆22Updated last year
- multi-task learning for routing problem☆20Updated 8 months ago
- Official repository for GFACS☆31Updated last year
- ☆59Updated 3 weeks ago
- implementation of our IJCAI'24 paper "Cross-Problem Learning for Solving Vehicle Routing Problems".☆16Updated 10 months ago
- [AAAI 2024] GLOP: Learning Global Partition and Local Construction for Solving Large-scale Routing Problems in Real-time☆91Updated 5 months ago
- ☆32Updated 2 years ago
- [NeurIPS 2024] Learning to Handle Complex Constraints for Vehicle Routing Problems☆28Updated 2 months ago
- COMPASS: Combinatorial Optimization with Policy Adaptation using Latent Space Search☆39Updated last year
- Code for ICLR2022 Paper: Pareto Set Learning for Neural Multi-objective Combinatorial Optimization☆61Updated 3 years ago
- DPDP☆100Updated 2 years ago
- The implementation code of our paper "Learning Generalizable Models for Vehicle Routing Problems via Knowledge Distillation", accepted at…☆55Updated last year
- Reinforcement learning for operation research problems with OpenAI Gym and CleanRL☆109Updated 2 years ago
- Learning a Latent Search Space for Routing Problems using Variational Autoencoders☆27Updated 3 years ago