Alternatives and similar repositories for CVAE-Opt:

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

• DIMESTeam / DIMES
  ☆41Updated last month
• LOGO-CUHKSZ / ASP
  ☆23Updated last year
• jiang-yuan / Learning-routing-DRO
  ☆20Updated 3 years ago
• ahottung / EAS
  Efficient Active Search
  ☆48Updated 2 years ago
• alstn12088 / LCP
  ☆21Updated 2 years ago
• alstn12088 / Sym-NCO
  ☆25Updated last year
• RoyalSkye / Omni-VRP
  [ICML 2023] "Towards Omni-generalizable Neural Methods for Vehicle Routing Problems"
  ☆48Updated 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
• zdhNarsil / GFlowNet-CombOpt
  PyTorch implementation for our NeurIPS 2023 spotlight paper "Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with G…
  ☆61Updated last year
• naver / bq-nco
  ☆37Updated last year
• liangxinedu / NeuroLKH
  ☆72Updated 2 years ago
• RoyalSkye / Routing-CNF
  [NeurIPS 2024] "Collaboration! Towards Robust Neural Methods for Routing Problems"
  ☆18Updated 3 months ago
• jieyibi / PIP-constraint
  [NeurIPS 2024] Learning to Handle Complex Constraints for Vehicle Routing Problems
  ☆20Updated last week
• grimmlab / gumbeldore
  Official repository for the TMLR paper "Self-Improvement for Neural Combinatorial Optimization: Sample Without Replacement, but Improveme…
  ☆24Updated 4 months ago
• Stalence / erdos_neu
  Official Repo for the NeurIPS2020 paper "Erdos Goes Neural: An Unsupervised Learning Framework for Combinatorial Optimization on Graphs"
  ☆49Updated 2 years ago
• Spider-scnu / Monte-Carlo-tree-search-for-TSP
  This is the source code for solving the Traveling Salesman Problems (TSP) using Monte Carlo tree search (MCTS).
  ☆32Updated 5 years ago
• qiang-ma / HRL-for-combinatorial-optimization
  Hierarchical deep reinforcement learning for combinatorial optimization problem
  ☆35Updated 5 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…
  ☆41Updated 7 months ago
• proroklab / gnngls
  Code accompanying the paper Graph Neural Network Guided Local Search for the Traveling Salesperson Problem
  ☆25Updated 2 years ago
• FeiLiu36 / MTNCO
  multi-task learning for routing problem
  ☆15Updated 4 months ago
• xybFight / NAR4TSP
  PyTorch code for the NAR4TSP.
  ☆20Updated 4 months ago
• Pointerformer / Pointerformer
  Deep Reinforced Multi-Pointer Transformer forthe Traveling Salesman Problem
  ☆36Updated 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 4 years ago
• jieyibi / AMDKD
  The implementation code of our paper "Learning Generalizable Models for Vehicle Routing Problems via Knowledge Distillation", accepted at…
  ☆52Updated 9 months ago
• ai4co / gfacs
  Official repository for GFACS
  ☆29Updated 9 months ago
• Thinklab-SJTU / ROCO
  Official Implementation of Our ICLR 2023 paper "ROCO: A General Framework for Evaluating Robustness of Combinatorial Optimization Solvers…
  ☆20Updated 4 months ago
• WXY1427 / Learn-LNS-policy
  ☆31Updated 2 years ago
• instadeepai / compass
  COMPASS: Combinatorial Optimization with Policy Adaptation using Latent Space Search
  ☆36Updated 8 months ago
• ai4co / routefinder
  [ICML'24 FM-Wild Oral] RouteFinder: Towards Foundation Models for Vehicle Routing Problems
  ☆64Updated last month
• lascavana / rl2branch
  ☆17Updated 5 months ago