Thinklab-SJTU / T2TCO
[NeurIPS 2023] T2T: From Distribution Learning in Training to Gradient Search in Testing for Combinatorial Optimization
☆61Updated last month
Alternatives and similar repositories for T2TCO:
Users that are interested in T2TCO are comparing it to the libraries listed below
- ☆41Updated last month
- Code of NeurIPS paper: arxiv.org/abs/2302.08224☆187Updated 6 months ago
- ☆25Updated last year
- ☆23Updated last year
- [ICML 2023] "Towards Omni-generalizable Neural Methods for Vehicle Routing Problems"☆48Updated last year
- Official Implementation of Our ICLR 2023 paper "ROCO: A General Framework for Evaluating Robustness of Combinatorial Optimization Solvers…☆20Updated 4 months ago
- [ICML 2024] "MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts"☆64Updated 7 months ago
- PyTorch implementation for our NeurIPS 2023 spotlight paper "Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with G…☆61Updated last year
- Official repository for GFACS☆29Updated 9 months ago
- code repo for paper Unsupervised Learning for Solving the Travelling Salesman Problem☆48Updated 10 months ago
- [NeurIPS 2024 Datasets and Benchmarks Track] Benchmarking PtO and PnO Methods in the Predictive Combinatorial Optimization Regime☆19Updated last week
- [AAAI 2024] GLOP: Learning Global Partition and Local Construction for Solving Large-scale Routing Problems in Real-time☆80Updated last month
- This is the code for G2MILP, a deep learning-based mixed-integer linear programming (MILP) instance generator.☆30Updated 5 months ago
- ☆17Updated 3 weeks ago
- Implementation of our NeurIPS 2021 paper "A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs".☆99Updated last year
- [NeurIPS 2024] Learning to Handle Complex Constraints for Vehicle Routing Problems☆20Updated last week
- [ICML'24 Oral] Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems☆31Updated 7 months ago
- This repo implements our paper, "Learning to Search Feasible and Infeasible Regions of Routing Problems with Flexible Neural k-Opt", whic…☆41Updated 7 months ago
- [ICML 2023] Meta-SAGE: Scale Meta-Learning Scheduled Adaptation with Guided Exploration for Mitigating Scale Shift on Combinatorial Optim…☆10Updated last year
- multi-task learning for routing problem☆15Updated 4 months ago
- [ICML'24 FM-Wild Oral] RouteFinder: Towards Foundation Models for Vehicle Routing Problems☆64Updated last month
- Predict and search framework for MilP☆51Updated 2 years ago
- Reimplementation of "Exact Combinatorial Optimization with Graph Convolutional Neural Networks" (NeurIPS 2019)☆34Updated 6 months ago
- ☆50Updated last week
- PARCO: Parallel AutoRegressive Combinatorial Optimization☆18Updated 5 months ago
- PyTorch code for the NAR4TSP.☆20Updated 4 months ago
- ☆22Updated last year
- Official implementation of IJCAI'24 paper "Towards Generalizable Neural Solvers for Vehicle Routing Problems via Ensemble with Transferra…☆22Updated 9 months ago
- ☆25Updated last year