Alternatives and similar repositories for learn2branch-ecole

Users that are interested in learn2branch-ecole are comparing it to the libraries listed below

• sribdcn / Predict-and-Search_MILP_method
  Predict and search framework for MilP
  ☆58Updated 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
• WXY1427 / Learn-LNS-policy
  ☆33Updated 2 years ago
• Edward-Sun / DIFUSCO
  Code of NeurIPS paper: arxiv.org/abs/2302.08224
  ☆214Updated 10 months ago
• LOGO-CUHKSZ / ASP
  ☆23Updated last year
• pg2455 / Hybrid-learn2branch
  Hybrid Models for Learning to Branch (NeurIPS 2020)
  ☆50Updated 4 years ago
• 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
• 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
• ds4dm / ml4co-competition
  Machine Learning for Combinatorial Optimization - NeurIPS'21 competition
  ☆135Updated 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
• google-deepmind / neural_lns
  ☆48Updated 3 years ago
• MIRALab-USTC / L2O-G2MILP
  This is the code for G2MILP, a deep learning-based mixed-integer linear programming (MILP) instance generator.
  ☆32Updated 10 months ago
• yunzhuangshen / PB-DFS
  ☆11Updated 3 years ago
• ds4dm / learn2branch
  Exact Combinatorial Optimization with Graph Convolutional Neural Networks (NeurIPS 2019)
  ☆381Updated 3 years ago
• ai4co / routefinder
  [ICML'24 FM-Wild Oral] RouteFinder: Towards Foundation Models for Vehicle Routing Problems
  ☆74Updated 2 weeks ago
• chaitjo / learning-tsp
  Code for the paper 'Learning TSP Requires Rethinking Generalization' (CP 2021)
  ☆233Updated 3 years ago
• ai4co / awesome-fm4co
  Recent research papers about Foundation Models for Combinatorial Optimization
  ☆336Updated this week
• henry-yeh / DeepACO
  [NeurIPS 2023] DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization
  ☆164Updated 10 months ago
• avrech / learning2cut
  Reinforcement Learning for Cut Selection
  ☆11Updated 2 years ago
• cpwan / RLOR
  Reinforcement learning for operation research problems with OpenAI Gym and CleanRL
  ☆112Updated 2 years ago
• DIMESTeam / DIMES
  ☆42Updated 3 months ago
• ahottung / EAS
  Efficient Active Search
  ☆52Updated 3 years ago
• lascavana / rl2branch
  ☆18Updated 10 months 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
• dongjinkun / COPZoo
  Neural Combinatorial Optimization
  ☆65Updated 3 weeks ago
• qcappart / hybrid-cp-rl-solver
  Combining Reinforcement Learning and Constraint Programming for Combinatorial Optimization
  ☆195Updated 5 years ago
• mit-wu-lab / learning-to-delegate
  [NeurIPS 2021 Spotlight] Learning to Delegate for Large-scale Vehicle Routing
  ☆85Updated 3 years ago
• Spider-scnu / TSP
  ☆132Updated 2 years ago
• Thinklab-SJTU / T2TCO
  [NeurIPS 2023] T2T: From Distribution Learning in Training to Gradient Search in Testing for Combinatorial Optimization
  ☆64Updated last month