Alternatives and similar repositories for ASP

Users that are interested in ASP are comparing it to the libraries listed below

• DIMESTeam / DIMES
  ☆42Updated last month
• alstn12088 / LCP
  ☆21Updated 2 years ago
• RoyalSkye / Omni-VRP
  [ICML 2023] "Towards Omni-generalizable Neural Methods for Vehicle Routing Problems"
  ☆51Updated 3 weeks ago
• naver / bq-nco
  ☆40Updated last year
• xyfffff / rethink_mcts_for_tsp
  [ICML'24 Oral] Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems
  ☆37Updated 2 months ago
• sribdcn / Predict-and-Search_MILP_method
  Predict and search framework for MilP
  ☆56Updated 2 years ago
• RoyalSkye / Routing-CNF
  [NeurIPS 2024] "Collaboration! Towards Robust Neural Methods for Routing Problems"
  ☆20Updated 7 months ago
• grimmlab / gumbeldore
  Official repository for the TMLR paper "Self-Improvement for Neural Combinatorial Optimization: Sample Without Replacement, but Improveme…
  ☆27Updated 3 months ago
• WXY1427 / Learn-LNS-policy
  ☆32Updated 2 years ago
• yining043 / NeuOpt
  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
• alstn12088 / Sym-NCO
  ☆29Updated last year
• gaocrr / ELG
  Official implementation of IJCAI'24 paper "Towards Generalizable Neural Solvers for Vehicle Routing Problems via Ensemble with Transferra…
  ☆21Updated last year
• kaist-silab / meta-sage
  [ICML 2023] Meta-SAGE: Scale Meta-Learning Scheduled Adaptation with Guided Exploration for Mitigating Scale Shift on Combinatorial Optim…
  ☆10Updated last year
• ahottung / CVAE-Opt
  Learning a Latent Search Space for Routing Problems using Variational Autoencoders
  ☆27Updated 3 years ago
• MIRALab-USTC / L2O-G2MILP
  This is the code for G2MILP, a deep learning-based mixed-integer linear programming (MILP) instance generator.
  ☆32Updated 8 months ago
• Thinklab-SJTU / PPO-BiHyb
  Implementation of our NeurIPS 2021 paper "A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs".
  ☆100Updated 2 years ago
• jiang-yuan / Learning-routing-DRO
  ☆21Updated 3 years ago
• ahottung / EAS
  Efficient Active Search
  ☆52Updated 3 years ago
• ai4co / routefinder
  [ICML'24 FM-Wild Oral] RouteFinder: Towards Foundation Models for Vehicle Routing Problems
  ☆70Updated last month
• FeiLiu36 / MTNCO
  multi-task learning for routing problem
  ☆20Updated 8 months ago
• ai4co / camp
  [AAMAS 2025 Oral] CAMP: Collaborative Attention Model with Profiles for Vehicle Routing Problems
  ☆19Updated last month
• jieyibi / PIP-constraint
  [NeurIPS 2024] Learning to Handle Complex Constraints for Vehicle Routing Problems
  ☆28Updated 2 months ago
• ai4co / parco
  PARCO: Parallel AutoRegressive Combinatorial Optimization
  ☆23Updated last month
• Bill-CJB / NHDE
  ☆24Updated last year
• MIRALab-USTC / L2O-HEM-Torch
  The code of paper Learning Cut Selection for Mixed-Integer Linear Programming via Hierarchical Sequence Model. Zhihai Wang, Xijun Li,…
  ☆58Updated 2 years ago
• henry-yeh / GLOP
  [AAAI 2024] GLOP: Learning Global Partition and Local Construction for Solving Large-scale Routing Problems in Real-time
  ☆91Updated 5 months ago
• xybFight / NAR4TSP
  PyTorch code for the NAR4TSP.
  ☆23Updated 7 months ago
• wondergo2017 / TSP-HAC
  Codes for AAAI22 paper "Learning to Solve Travelling Salesman Problem with Hardness-Adaptive Curriculum"
  ☆22Updated 3 years ago
• Thinklab-SJTU / T2TCO
  [NeurIPS 2023] T2T: From Distribution Learning in Training to Gradient Search in Testing for Combinatorial Optimization
  ☆63Updated 5 months ago
• RoyalSkye / Routing-MVMoE
  [ICML 2024] "MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts"
  ☆70Updated 3 weeks ago