Alternatives and similar repositories for CVAE-Opt

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

• DIMESTeam / DIMES
  ☆46Updated 9 months ago
• alstn12088 / LCP
  ☆23Updated 3 years ago
• 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
• alstn12088 / Sym-NCO
  ☆32Updated 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 2 years ago
• ahottung / EAS
  Efficient Active Search
  ☆53Updated 3 years ago
• naver / bq-nco
  ☆43Updated 2 years ago
• LOGO-CUHKSZ / ASP
  ☆23Updated last year
• Learning4Optimization-HUST / DualOpt
  ☆14Updated last year
• Stalence / erdos_neu
  Official Repo for the NeurIPS2020 paper "Erdos Goes Neural: An Unsupervised Learning Framework for Combinatorial Optimization on Graphs"
  ☆51Updated 3 years ago
• RoyalSkye / Omni-VRP
  [ICML 2023] "Towards Omni-generalizable Neural Methods for Vehicle Routing Problems"
  ☆57Updated 7 months ago
• grimmlab / gumbeldore
  Official repository for the TMLR paper "Self-Improvement for Neural Combinatorial Optimization: Sample Without Replacement, but Improveme…
  ☆28Updated last week
• yd-kwon / SGBS
  codes for the paper "Simulation-guided Beam Search for Neural Combinatorial Optimization"
  ☆42Updated 3 years 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 5 years ago
• WXY1427 / Learn-LNS-policy
  ☆35Updated 3 years ago
• xybFight / NAR4TSP
  PyTorch code for the NAR4TSP.
  ☆26Updated last year
• Thinklab-SJTU / PPO-BiHyb
  Implementation of our NeurIPS 2021 paper "A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs".
  ☆104Updated 2 years ago
• xyfffff / rethink_mcts_for_tsp
  [ICML'24 Oral] Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems
  ☆41Updated 9 months ago
• wouterkool / dpdp
  DPDP
  ☆105Updated 3 years ago
• mit-wu-lab / learning-to-delegate
  [NeurIPS 2021 Spotlight] Learning to Delegate for Large-scale Vehicle Routing
  ☆86Updated 4 years ago
• tomdbar / eco-dqn
  Implementation of ECO-DQN as reported in "Exploratory Combinatorial Optimization with Reinforcement Learning".
  ☆82Updated 5 years ago
• Spider-scnu / TSP
  ☆134Updated 3 years ago
• jieyibi / PIP-constraint
  [NeurIPS 2024] Learning to Handle Complex Constraints for Vehicle Routing Problems
  ☆39Updated 9 months ago
• kaist-silab / equity-transformer
  ☆28Updated 2 years ago
• chaitjo / learning-tsp
  Code for the paper 'Learning TSP Requires Rethinking Generalization' (CP 2021)
  ☆239Updated 4 years ago
• qiang-ma / HRL-for-combinatorial-optimization
  Hierarchical deep reinforcement learning for combinatorial optimization problem
  ☆35Updated 6 years ago
• liangxinedu / NeuroLKH
  ☆82Updated 3 years ago
• RoyalSkye / Routing-CNF
  [NeurIPS 2024] "Collaboration! Towards Robust Neural Methods for Routing Problems"
  ☆21Updated last year
• lyeskhalil / mipGNN
  ☆26Updated 4 years ago
• Thinklab-SJTU / NAR-CO-Solver
  Official implementation non-autoregressive combinatorial optimizaiton solvers, covering our ICLR 2023 paper and SCIENTIA SINICA Informati…
  ☆41Updated last year