Alternatives and similar repositories for Predict-and-Search_MILP_method

Users that are interested in Predict-and-Search_MILP_method are comparing it to the libraries listed below

• liujl11git / GNN-MILP
  [ICLR 2023] "On Representing Mixed-Integer Linear Programs by Graph Neural Networks" by Ziang Chen, Jialin Liu, Xinshang Wang, Jianfeng L…
  ☆51Updated last year
• ds4dm / branch-search-trees
  Parameterizing Branch-and-Bound Search Trees to Learn Branching Policies (AAAI 2021)
  ☆68Updated 4 years ago
• lyeskhalil / mipGNN
  ☆27Updated 4 years ago
• LOGO-CUHKSZ / ASP
  ☆23Updated last year
• ds4dm / learn2branch-ecole
  Reimplementation of "Exact Combinatorial Optimization with Graph Convolutional Neural Networks" (NeurIPS 2019)
  ☆42Updated 11 months ago
• khalil-research / Neur2SP
  Neur2SP: Neural Two-Stage Stochastic Programming
  ☆48Updated 2 years ago
• WXY1427 / Learn-LNS-policy
  ☆33Updated 2 years ago
• jieyibi / AMDKD
  The implementation code of our paper "Learning Generalizable Models for Vehicle Routing Problems via Knowledge Distillation", accepted at…
  ☆56Updated last year
• google-deepmind / neural_lns
  ☆48Updated 3 years ago
• RoyalSkye / Omni-VRP
  [ICML 2023] "Towards Omni-generalizable Neural Methods for Vehicle Routing Problems"
  ☆52Updated 2 months ago
• ai4co / routefinder
  [ICML'24 FM-Wild Oral] RouteFinder: Towards Foundation Models for Vehicle Routing Problems
  ☆74Updated 2 weeks ago
• naver / bq-nco
  ☆40Updated last year
• CIAM-Group / NCO_code
  L2O/NCO codes from CIAM Group at SUSTech, Shenzhen, China
  ☆82Updated 2 months ago
• dongjinkun / COPZoo
  Neural Combinatorial Optimization
  ☆65Updated 3 weeks ago
• cpwan / RLOR
  Reinforcement learning for operation research problems with OpenAI Gym and CleanRL
  ☆112Updated 2 years ago
• henry-yeh / GLOP
  [AAAI 2024] GLOP: Learning Global Partition and Local Construction for Solving Large-scale Routing Problems in Real-time
  ☆92Updated 6 months ago
• wouterkool / dpdp
  DPDP
  ☆101Updated 2 years ago
• henry-yeh / DeepACO
  [NeurIPS 2023] DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization
  ☆164Updated 10 months ago
• khalil-research / Neur2BiLO
  ☆11Updated 7 months ago
• ahottung / EAS
  Efficient Active Search
  ☆52Updated 3 years ago
• zcaicaros / TBGAT
  Official implementation of paper "Learning Topological Representations with Bidirectional Graph Attention Network for Solving Job Shop Sc…
  ☆22Updated last month
• pg2455 / Hybrid-learn2branch
  Hybrid Models for Learning to Branch (NeurIPS 2020)
  ☆50Updated 4 years ago
• Xi-L / PMOCO
  Code for ICLR2022 Paper: Pareto Set Learning for Neural Multi-objective Combinatorial Optimization
  ☆63Updated 3 years ago
• liangxinedu / MDAM
  ☆54Updated 4 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…
  ☆51Updated last year
• yd-kwon / POMO
  codes for the paper "POMO: Policy Optimization with Multiple Optima for Reinforcement Learning"
  ☆208Updated 2 years ago
• MIRALab-USTC / L2O-HEM-Torch
  The code of paper Learning Cut Selection for Mixed-Integer Linear Programming via Hierarchical Sequence Model. Zhihai Wang, Xijun Li,…
  ☆63Updated 2 years ago
• mouadmorabit / MLColumnSelection
  Machine-learning-based column selection
  ☆38Updated 3 years ago
• Bill-CJB / NHDE
  ☆25Updated last year
• jiang-yuan / Learning-routing-DRO
  ☆21Updated 3 years ago