Alternatives and similar repositories for Fast-T2T

Users that are interested in Fast-T2T are comparing it to the libraries listed below

• Thinklab-SJTU / ML4CO-Kit
  A Python toolkit for Machine Learning (ML) practices for Combinatorial Optimization (CO).
  ☆75Updated last month
• Thinklab-SJTU / ML4TSPBench
  Official implementation of ICLR 2025 paper: "Unify ML4TSP: Drawing Methodological Principles for TSP and Beyond from Streamlined Design S…
  ☆45Updated 8 months ago
• Thinklab-SJTU / T2TCO
  [NeurIPS 2023] T2T: From Distribution Learning in Training to Gradient Search in Testing for Combinatorial Optimization
  ☆70Updated 7 months ago
• Thinklab-SJTU / ML4CO-Bench-101
  ML4CO-Bench-101: Benchmark Machine Learning for Classic Combinatorial Problems on Graphs.
  ☆38Updated 2 months ago
• DIMESTeam / DIMES
  ☆46Updated 9 months ago
• ai4co / parco
  [NeurIPS 2025] PARCO: Parallel AutoRegressive Combinatorial Optimization
  ☆38Updated 2 months ago
• xyfffff / rethink_mcts_for_tsp
  [ICML'24 Oral] Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems
  ☆41Updated 10 months ago
• alstn12088 / Sym-NCO
  ☆32Updated 2 years ago
• ai4co / camp
  [AAMAS 2025 Oral] CAMP: Collaborative Attention Model with Profiles for Vehicle Routing Problems
  ☆30Updated 2 months ago
• Thinklab-SJTU / ACM-MILP
  Code for our paper: ACM-MILP: Adaptive Constraint Modification via Grouping and Selection for Hardness-Preserving MILP Instance Generatio…
  ☆13Updated last year
• ai4co / gfacs
  Official repository for GFACS
  ☆33Updated last year
• zdhNarsil / GFlowNet-CombOpt
  PyTorch implementation for our NeurIPS 2023 spotlight paper "Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with G…
  ☆66Updated 2 years ago
• Edward-Sun / DIFUSCO
  Code of NeurIPS paper: arxiv.org/abs/2302.08224
  ☆242Updated last year
• ai4co / real-routing-nco
  [ICLR 2026] Neural Combinatorial Optimization for Real-World Routing
  ☆22Updated last week
• RoyalSkye / Routing-CNF
  [NeurIPS 2024] "Collaboration! Towards Robust Neural Methods for Routing Problems"
  ☆21Updated last year
• RoyalSkye / Routing-MVMoE
  [ICML 2024] "MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts"
  ☆80Updated 8 months ago
• Thinklab-SJTU / ROCO
  Official Implementation of Our ICLR 2023 paper "ROCO: A General Framework for Evaluating Robustness of Combinatorial Optimization Solvers…
  ☆20Updated last year
• Thinklab-SJTU / PredictiveCO-Benchmark
  [NeurIPS 2024 Datasets and Benchmarks Track] Benchmarking PtO and PnO Methods in the Predictive Combinatorial Optimization Regime
  ☆23Updated 10 months ago
• Learning4Optimization-HUST / DualOpt
  ☆14Updated last year
• FeiLiu36 / MTNCO
  multi-task learning for routing problem
  ☆22Updated 2 months ago
• yd-kwon / SGBS
  codes for the paper "Simulation-guided Beam Search for Neural Combinatorial Optimization"
  ☆42Updated 3 years ago
• ai4co / routefinder
  [TMLR 2025 + ICML 2024 FM-Wild Oral] RouteFinder: Towards Foundation Models for Vehicle Routing Problems
  ☆105Updated 2 months ago
• naver / goal-co
  ☆43Updated 8 months ago
• kaist-silab / meta-sage
  [ICML 2023] Meta-SAGE: Scale Meta-Learning Scheduled Adaptation with Guided Exploration for Mitigating Scale Shift on Combinatorial Optim…
  ☆10Updated 2 years ago
• Zhuoyi-Lin / Cross_problem_learning
  implementation of our IJCAI'24 paper "Cross-Problem Learning for Solving Vehicle Routing Problems".
  ☆20Updated last year
• LOGO-CUHKSZ / ASP
  ☆23Updated last year
• kaist-silab / equity-transformer
  ☆28Updated 2 years ago
• xybFight / GNARKD
  PyTorch code for the GNARKD.
  ☆26Updated last year
• sunnweiwei / CO-Bench
  [AAAI 2026] Benchmarking Language Model Agents in Algorithm Search for Combinatorial Optimization
  ☆34Updated 5 months ago
• jieyibi / PIP-constraint
  [NeurIPS 2024] Learning to Handle Complex Constraints for Vehicle Routing Problems
  ☆40Updated 10 months ago