Thinklab-SJTU / T2TCOLinks
[NeurIPS 2023] T2T: From Distribution Learning in Training to Gradient Search in Testing for Combinatorial Optimization
☆67Updated 3 months ago
Alternatives and similar repositories for T2TCO
Users that are interested in T2TCO are comparing it to the libraries listed below
Sorting:
- ML4CO-Bench-101: Benchmark Machine Learning for Classic Combinatorial Problems on Graphs.☆23Updated 2 weeks ago
- Code of NeurIPS paper: arxiv.org/abs/2302.08224☆223Updated last year
- A Python toolkit for Machine Learning (ML) practices for Combinatorial Optimization (CO).☆60Updated this week
- ☆43Updated 5 months ago
- [ICML'24 Oral] Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems☆38Updated 6 months ago
- Official implementation of ICLR 2025 paper: "Unify ML4TSP: Drawing Methodological Principles for TSP and Beyond from Streamlined Design S…☆39Updated 4 months ago
- ☆30Updated last year
- [ICML 2024] "MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts"☆75Updated 4 months ago
- Official repository for GFACS☆32Updated last year
- [NeurIPS 2025] PARCO: Parallel AutoRegressive Combinatorial Optimization☆26Updated 3 weeks ago
- ☆23Updated last year
- PyTorch implementation for our NeurIPS 2023 spotlight paper "Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with G…☆66Updated 2 years ago
- [NeurIPS 2024] "Collaboration! Towards Robust Neural Methods for Routing Problems"☆20Updated 10 months ago
- code repo for paper Unsupervised Learning for Solving the Travelling Salesman Problem☆54Updated last year
- [AAAI 2024] GLOP: Learning Global Partition and Local Construction for Solving Large-scale Routing Problems in Real-time☆94Updated 8 months ago
- [NeurIPS 2025 DiffCoALG WS] Neural Combinatorial Optimization for Real-World Routing☆18Updated 2 weeks ago
- This is the code for G2MILP, a deep learning-based mixed-integer linear programming (MILP) instance generator.☆34Updated last year
- [NeurIPS 2024] Learning to Handle Complex Constraints for Vehicle Routing Problems☆32Updated 6 months ago
- multi-task learning for routing problem☆19Updated 11 months ago
- [ICML 2023] Meta-SAGE: Scale Meta-Learning Scheduled Adaptation with Guided Exploration for Mitigating Scale Shift on Combinatorial Optim…☆10Updated last year
- This repo implements our paper, "Learning to Search Feasible and Infeasible Regions of Routing Problems with Flexible Neural k-Opt", whic…☆52Updated last year
- PyTorch code for the GNARKD.☆26Updated last year
- Official implementation of IJCAI'24 paper "Towards Generalizable Neural Solvers for Vehicle Routing Problems via Ensemble with Transferra…☆22Updated last year
- ☆41Updated last year
- [TMLR 2025 + ICML 2024 FM-Wild Oral] RouteFinder: Towards Foundation Models for Vehicle Routing Problems☆91Updated 3 weeks ago
- [ICML 2023] "Towards Omni-generalizable Neural Methods for Vehicle Routing Problems"☆53Updated 4 months ago
- Official Implementation of Our ICLR 2023 paper "ROCO: A General Framework for Evaluating Robustness of Combinatorial Optimization Solvers…☆20Updated 11 months ago
- The code of paper Learning Cut Selection for Mixed-Integer Linear Programming via Hierarchical Sequence Model. Zhihai Wang, Xijun Li,…☆64Updated 2 years ago
- [NeurIPS 2024 Datasets and Benchmarks Track] Benchmarking PtO and PnO Methods in the Predictive Combinatorial Optimization Regime☆23Updated 6 months ago
- Official repository for the TMLR paper "Self-Improvement for Neural Combinatorial Optimization: Sample Without Replacement, but Improveme…☆27Updated 6 months ago