Alternatives and similar repositories for CVAE-Opt

Users that are interested in CVAE-Opt are comparing it to the libraries listed below

• DIMESTeam / DIMES
  ☆42Updated 3 months ago
• chaitjo / learning-paradigms-for-tsp
  Code for the paper 'On Learning Paradigms for the Travelling Salesman Problem' (NeurIPS 2019 Graph Representation Learning Workshop)
  ☆33Updated 4 years ago
• alstn12088 / LCP
  ☆21Updated 2 years ago
• Stalence / erdos_neu
  Official Repo for the NeurIPS2020 paper "Erdos Goes Neural: An Unsupervised Learning Framework for Combinatorial Optimization on Graphs"
  ☆49Updated 3 years ago
• LOGO-CUHKSZ / ASP
  ☆23Updated last year
• ahottung / EAS
  Efficient Active Search
  ☆52Updated 3 years ago
• alstn12088 / Sym-NCO
  ☆30Updated last year
• naver / bq-nco
  ☆40Updated last year
• xybFight / NAR4TSP
  PyTorch code for the NAR4TSP.
  ☆23Updated 9 months ago
• wouterkool / dpdp
  DPDP
  ☆101Updated 2 years ago
• grimmlab / gumbeldore
  Official repository for the TMLR paper "Self-Improvement for Neural Combinatorial Optimization: Sample Without Replacement, but Improveme…
  ☆27Updated 4 months ago
• WXY1427 / Learn-LNS-policy
  ☆33Updated 2 years ago
• jiang-yuan / Learning-routing-DRO
  ☆21Updated 3 years ago
• RoyalSkye / Omni-VRP
  [ICML 2023] "Towards Omni-generalizable Neural Methods for Vehicle Routing Problems"
  ☆52Updated 2 months ago
• zdhNarsil / GFlowNet-CombOpt
  PyTorch implementation for our NeurIPS 2023 spotlight paper "Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with G…
  ☆67Updated 2 years 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 last year
• 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
• Spider-scnu / TSP
  ☆132Updated 2 years ago
• Learning4Optimization-HUST / DualOpt
  ☆11Updated 6 months ago
• jieyibi / PIP-constraint
  [NeurIPS 2024] Learning to Handle Complex Constraints for Vehicle Routing Problems
  ☆28Updated 4 months ago
• liangxinedu / NeuroLKH
  ☆79Updated 3 years ago
• mit-wu-lab / learning-to-delegate
  [NeurIPS 2021 Spotlight] Learning to Delegate for Large-scale Vehicle Routing
  ☆85Updated 3 years ago
• qiang-ma / HRL-for-combinatorial-optimization
  Hierarchical deep reinforcement learning for combinatorial optimization problem
  ☆35Updated 5 years ago
• RoyalSkye / Routing-MVMoE
  [ICML 2024] "MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts"
  ☆73Updated 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
  ☆37Updated 4 months ago
• tomdbar / eco-dqn
  Implementation of ECO-DQN as reported in "Exploratory Combinatorial Optimization with Reinforcement Learning".
  ☆80Updated 4 years ago
• FeiLiu36 / MTNCO
  multi-task learning for routing problem
  ☆20Updated 9 months ago
• yining043 / VRP-DACT
  This repo implements our paper, "Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative Transformer", which has be…
  ☆114Updated last year
• lyeskhalil / CORL
  ☆25Updated 3 years ago
• paulorocosta / ai-for-tsp-competition
  This is the official repository of the AI for TSP competition at IJCAI 2021
  ☆24Updated 2 years ago