yunzhuangshen / PB-DFS

Related projects ⓘ

Alternatives and complementary repositories for PB-DFS

• ds4dm / learn2branch-ecole
  Reimplementation of "Exact Combinatorial Optimization with Graph Convolutional Neural Networks" (NeurIPS 2019)
  ☆32Updated 2 months ago
• Opt-Mucca / Adaptive-Cutsel-MILP
  Adaptive Cut Selection in Mixed-Integer Linear Programming
  ☆12Updated last year
• sribdcn / Predict-and-Search_MILP_method
  Predict and search framework for MilP
  ☆46Updated 2 years ago
• lyeskhalil / mipGNN
  ☆21Updated 3 years ago
• WXY1427 / Learn-LNS-policy
  ☆30Updated 2 years ago
• pg2455 / Hybrid-learn2branch
  Hybrid Models for Learning to Branch (NeurIPS 2020)
  ☆47Updated 3 years ago
• ds4dm / branch-search-trees
  Parameterizing Branch-and-Bound Search Trees to Learn Branching Policies (AAAI 2021)
  ☆67Updated 3 years ago
• DIMESTeam / DIMES
  ☆39Updated 5 months ago
• liujl11git / GNN-MILP
  [ICLR 2023] "On Representing Mixed-Integer Linear Programs by Graph Neural Networks" by Ziang Chen, Jialin Liu, Xinshang Wang, Jianfeng L…
  ☆37Updated last year
• google-deepmind / neural_lns
  ☆40Updated 2 years ago
• Stalence / erdos_neu
  Official Repo for the NeurIPS2020 paper "Erdos Goes Neural: An Unsupervised Learning Framework for Combinatorial Optimization on Graphs"
  ☆44Updated 2 years ago
• LOGO-CUHKSZ / ASP
  ☆21Updated 9 months ago
• ds4dm / ml4co-competition
  Machine Learning for Combinatorial Optimization - NeurIPS'21 competition
  ☆127Updated 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…
  ☆38Updated 3 months ago
• MIRALab-USTC / L2O-G2MILP
  This is the code for G2MILP, a deep learning-based mixed-integer linear programming (MILP) instance generator.
  ☆27Updated last month
• yimengmin / UTSP
  code repo for paper Unsupervised Learning for Solving the Travelling Salesman Problem
  ☆39Updated 6 months ago
• Thinklab-SJTU / T2TCO
  [NeurIPS 2023] T2T: From Distribution Learning in Training to Gradient Search in Testing for Combinatorial Optimization
  ☆53Updated 3 months ago
• Edward-Sun / DIFUSCO
  Code of NeurIPS paper: arxiv.org/abs/2302.08224
  ☆169Updated 2 months ago
• lascavana / rl2branch
  ☆15Updated last month
• ahottung / CVAE-Opt
  Learning a Latent Search Space for Routing Problems using Variational Autoencoders
  ☆24Updated 3 years ago
• mit-wu-lab / learning-to-delegate
  [NeurIPS 2021 Spotlight] Learning to Delegate for Large-scale Vehicle Routing
  ☆78Updated 2 years ago
• RoyalSkye / Omni-VRP
  [ICML 2023] "Towards Omni-generalizable Neural Methods for Vehicle Routing Problems"
  ☆41Updated last year
• wouterkool / dpdp
  DPDP
  ☆94Updated last year
• ai4co / routefinder
  [ICML'24 FM-Wild Oral] RouteFinder: Towards Foundation Models for Vehicle Routing Problems
  ☆52Updated last month
• zdhNarsil / GFlowNet-CombOpt
  PyTorch implementation for our NeurIPS 2023 spotlight paper "Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with G…
  ☆55Updated last year
• jiang-yuan / Learning-routing-DRO
  ☆19Updated 2 years ago
• cpwan / RLOR
  Reinforcement learning for operation research problems with OpenAI Gym and CleanRL
  ☆85Updated last year
• mouadmorabit / MLColumnSelection
  Machine-learning-based column selection
  ☆34Updated 2 years ago
• jieyibi / AMDKD
  The implementation code of our paper "Learning Generalizable Models for Vehicle Routing Problems via Knowledge Distillation", accepted at…
  ☆49Updated 5 months ago
• alstn12088 / Sym-NCO
  ☆25Updated 9 months ago