Alternatives and similar repositories for gnngls:

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

• RoyalSkye / Omni-VRP
  [ICML 2023] "Towards Omni-generalizable Neural Methods for Vehicle Routing Problems"
  ☆49Updated last year
• Spider-scnu / TSP
  ☆131Updated 2 years ago
• ahottung / EAS
  Efficient Active Search
  ☆49Updated 3 years ago
• Learning4Optimization-HUST / H-TSP
  Official implementation of H-TSP (AAAI2023)
  ☆47Updated 3 weeks ago
• yimengmin / UTSP
  code repo for paper Unsupervised Learning for Solving the Travelling Salesman Problem
  ☆51Updated 11 months ago
• grimmlab / gumbeldore
  Official repository for the TMLR paper "Self-Improvement for Neural Combinatorial Optimization: Sample Without Replacement, but Improveme…
  ☆25Updated 3 weeks ago
• liangxinedu / NeuroLKH
  ☆74Updated 2 years ago
• naver / bq-nco
  ☆39Updated last year
• jiang-yuan / Learning-routing-DRO
  ☆20Updated 3 years ago
• DIMESTeam / DIMES
  ☆42Updated 2 months ago
• jieyibi / PIP-constraint
  [NeurIPS 2024] Learning to Handle Complex Constraints for Vehicle Routing Problems
  ☆24Updated 2 weeks ago
• gaocrr / ELG
  Official implementation of IJCAI'24 paper "Towards Generalizable Neural Solvers for Vehicle Routing Problems via Ensemble with Transferra…
  ☆21Updated 11 months ago
• cpwan / RLOR
  Reinforcement learning for operation research problems with OpenAI Gym and CleanRL
  ☆98Updated 2 years ago
• Pointerformer / Pointerformer
  Deep Reinforced Multi-Pointer Transformer forthe Traveling Salesman Problem
  ☆36Updated 3 years ago
• alstn12088 / LCP
  ☆21Updated 2 years ago
• Kasumigaoka-Utaha / INViT
  Official Implementation of the paper: INViT: A Generalizable Routing Problem Solver with Invariant Nested View Transformer
  ☆18Updated 9 months ago
• liangxinedu / MDAM
  ☆51Updated 3 years ago
• ai4co / parco
  PARCO: Parallel AutoRegressive Combinatorial Optimization
  ☆20Updated 6 months ago
• jieyibi / AMDKD
  The implementation code of our paper "Learning Generalizable Models for Vehicle Routing Problems via Knowledge Distillation", accepted at…
  ☆52Updated 10 months ago
• pengguo318 / RoutingProblemGANN
  ☆47Updated 2 years ago
• paulorocosta / learning-2opt-drl
  Learning 2-opt Heuristics for the TSP via Deep Reinforcement Learning
  ☆51Updated 4 years ago
• cwfparsonson / retro_branching
  Learning to branch with reinforcement learning using retrospective trajectories for exact combinatorial optimisation.
  ☆34Updated 2 years ago
• lascavana / rl2branch
  ☆18Updated 6 months ago
• ai4co / routefinder
  [ICML'24 FM-Wild Oral] RouteFinder: Towards Foundation Models for Vehicle Routing Problems
  ☆65Updated 2 weeks ago
• xybFight / NAR4TSP
  PyTorch code for the NAR4TSP.
  ☆20Updated 5 months ago
• dongjinkun / COPZoo
  Neural Network for solving challenging Combinatorial Optimization Problems
  ☆50Updated this week
• yining043 / NeuOpt
  This repo implements our paper, "Learning to Search Feasible and Infeasible Regions of Routing Problems with Flexible Neural k-Opt", whic…
  ☆46Updated 8 months ago
• ntt-dkiku / route-explainer
  The official implementation of "RouteExplainer: An Explanation Framework for Vehicle Routing Problem" (PAKDD 2024, oral)
  ☆12Updated last year
• dtkon / PDP-NCS
  Detian Kong, Yining Ma, Zhiguang Cao, Tianshu Yu and Jianhua Xiao, "Efficient Neural Collaborative Search for Pickup and Delivery Problem…
  ☆12Updated 2 months ago
• jingwenli0312 / Heterogeneous-Attentions-PDP-DRL
  ☆53Updated 2 years ago