Thinklab-SJTU / Fast-T2T
[NeurIPS2024] Fast T2T: Optimization Consistency Speeds Up Diffusion-Based Training-to-Testing Solving for Combinatorial Optimization; [NeurIPS2023] T2T: From Distribution Learning in Training to Gradient Search in Testing for Combinatorial Optimization
☆12Updated last month
Alternatives and similar repositories for Fast-T2T:
Users that are interested in Fast-T2T are comparing it to the libraries listed below
- A Python toolkit for Machine Learning (ML) practices for Combinatorial Optimization (CO).☆41Updated last week
- [NeurIPS 2024 Datasets and Benchmarks Track] Benchmarking PtO and PnO Methods in the Predictive Combinatorial Optimization Regime☆19Updated 3 weeks ago
- [NeurIPS 2023] T2T: From Distribution Learning in Training to Gradient Search in Testing for Combinatorial Optimization☆62Updated 2 months ago
- Official implementation of ICLR 2025 paper: "Unify ML4TSP: Drawing Methodological Principles for TSP and Beyond from Streamlined Design S…☆33Updated last month
- [ICML'24 Oral] Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems☆34Updated 3 weeks ago
- Official Implementation of Our ICLR 2023 paper "ROCO: A General Framework for Evaluating Robustness of Combinatorial Optimization Solvers…☆20Updated 6 months ago
- ☆42Updated 2 months ago
- Code for our paper: ACM-MILP: Adaptive Constraint Modification via Grouping and Selection for Hardness-Preserving MILP Instance Generatio…☆12Updated 3 months ago
- Benchmarking Language Model Agents in Algorithm Search for Combinatorial Optimization☆14Updated last week
- [AAMAS 2025] CAMP: Collaborative Attention Model with Profiles for Vehicle Routing Problems☆20Updated 3 months ago
- ☆23Updated last year
- Dataset & models of RRNCO: Real-world Routing NCO☆13Updated this week
- PARCO: Parallel AutoRegressive Combinatorial Optimization☆20Updated 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
- PyTorch implementation for our NeurIPS 2023 spotlight paper "Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with G…☆64Updated last year
- [NeurIPS 2024] "Collaboration! Towards Robust Neural Methods for Routing Problems"☆18Updated 5 months ago
- [SIGKDD 2023] HardSATGEN: Understanding the Difficulty of Hard SAT Formula Generation and A Strong Structure-Hardness-Aware Baseline☆20Updated last year
- Code for "Decision-Focused Learning without Differentiable Optimization: Learning Locally Optimized Decision Losses"☆28Updated last year
- Official implementation non-autoregressive combinatorial optimizaiton solvers, covering our ICLR 2023 paper and SCIENTIA SINICA Informati…☆40Updated 7 months ago
- [ICML'24] Tackling Prevalent Conditions in Unsupervised Combinatorial Optimization: Cardinality, Minimum, Covering, and More☆13Updated 9 months ago
- The LLMOPT project offers a comprehensive set of resources, including the model, dataset, training framework, and inference code, enablin…☆53Updated this week
- ☆25Updated last year
- ☆45Updated last month
- Official implementation of Our NeurIPS 2024 Paper "Boundary Matters: A Bi-Level Active Finetuning Method"☆11Updated 2 months ago
- Official Code for Local Search GFlowNets (ICLR 2024 Spotlight)☆17Updated 2 months ago
- Code for ``Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design``.☆37Updated 3 months ago
- Official repository for GFACS☆30Updated 11 months ago
- multi-task learning for routing problem☆19Updated 5 months ago
- Official codebase for GTA: Generative Trajectory Augmentation with Guidance for Offline Reinforcement Learning.☆19Updated 5 months ago
- ☆11Updated 9 months ago