Alternatives and similar repositories for learning2cut

Users that are interested in learning2cut are comparing it to the libraries listed below

• lyeskhalil / mipGNN
  ☆26Updated 4 years ago
• ds4dm / learn2branch-ecole
  Reimplementation of "Exact Combinatorial Optimization with Graph Convolutional Neural Networks" (NeurIPS 2019)
  ☆38Updated 9 months ago
• yunzhuangshen / PB-DFS
  ☆11Updated 3 years ago
• pg2455 / Hybrid-learn2branch
  Hybrid Models for Learning to Branch (NeurIPS 2020)
  ☆50Updated 4 years ago
• sribdcn / Predict-and-Search_MILP_method
  Predict and search framework for MilP
  ☆53Updated 2 years ago
• ds4dm / branch-search-trees
  Parameterizing Branch-and-Bound Search Trees to Learn Branching Policies (AAAI 2021)
  ☆67Updated 3 years ago
• google-deepmind / neural_lns
  ☆47Updated 3 years ago
• WXY1427 / Learn-LNS-policy
  ☆31Updated 2 years 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…
  ☆51Updated last year
• DIMESTeam / DIMES
  ☆42Updated last month
• LOGO-CUHKSZ / ASP
  ☆23Updated last year
• ds4dm / learn2comparenodes
  Learning to Compare Nodes in Branch and Bound with Graph Neural Networks (NeurIPS 2022)
  ☆22Updated 2 years ago
• Opt-Mucca / Adaptive-Cutsel-MILP
  Adaptive Cut Selection in Mixed-Integer Linear Programming
  ☆13Updated last year
• MIRALab-USTC / L2O-G2MILP
  This is the code for G2MILP, a deep learning-based mixed-integer linear programming (MILP) instance generator.
  ☆31Updated 8 months ago
• corail-research / learning-generic-csp
  Representing CP problems as graphs
  ☆19Updated 5 months ago
• naver / bq-nco
  ☆40Updated last year
• MaxiBoether / mis-benchmark-framework
  A benchmarking suite for maximum independent set solvers.
  ☆51Updated last year
• alstn12088 / LCP
  ☆21Updated 2 years ago
• Thinklab-SJTU / PPO-BiHyb
  Implementation of our NeurIPS 2021 paper "A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs".
  ☆100Updated 2 years ago
• tomdbar / eco-dqn
  Implementation of ECO-DQN as reported in "Exploratory Combinatorial Optimization with Reinforcement Learning".
  ☆80Updated 4 years ago
• ds4dm / ml4co-competition
  Machine Learning for Combinatorial Optimization - NeurIPS'21 competition
  ☆135Updated 2 years ago
• hyeonahkimm / neuralsep
  A Neural Separation Algorithm for the Rounded Capacity Inequalities (IJOC, 2024)
  ☆14Updated last year
• mit-wu-lab / learning-to-configure-separators
  [NeurIPS 2023] Learning to Configure Separators in Branch-and-Cut
  ☆22Updated last year
• ahottung / CVAE-Opt
  Learning a Latent Search Space for Routing Problems using Variational Autoencoders
  ☆26Updated 3 years ago
• ahottung / EAS
  Efficient Active Search
  ☆50Updated 3 years ago
• Zhengzhong-You / RouteOpt
  RouteOpt
  ☆39Updated 2 weeks ago
• louisv123 / COLGE
  ☆37Updated 6 years ago
• khalil-research / Neur2SP
  Neur2SP: Neural Two-Stage Stochastic Programming
  ☆48Updated 2 years ago
• Spider-scnu / TSP
  ☆132Updated 2 years ago
• jieyibi / AMDKD
  The implementation code of our paper "Learning Generalizable Models for Vehicle Routing Problems via Knowledge Distillation", accepted at…
  ☆55Updated last year