Alternatives and similar repositories for HypOp

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

• mit-wu-lab / learning-to-configure-separators
  [NeurIPS 2023] Learning to Configure Separators in Branch-and-Cut
  ☆21Updated last year
• XAI-liacs / LLaMEA
  Large Language Model Evolutionary Algorithm
  ☆84Updated 3 weeks ago
• corail-research / learning-generic-csp
  Representing CP problems as graphs
  ☆20Updated last year
• RoyalSkye / Routing-MVMoE
  [ICML 2024] "MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts"
  ☆80Updated 7 months ago
• xyfffff / rethink_mcts_for_tsp
  [ICML'24 Oral] Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems
  ☆40Updated 9 months ago
• IvanIsCoding / GNN-for-Combinatorial-Optimization
  JAX + Flax implementation of "Combinatorial Optimization with Physics-Inspired Graph Neural Networks" by Schuetz et al.
  ☆64Updated last month
• ds4dm / learn2branch-ecole
  Reimplementation of "Exact Combinatorial Optimization with Graph Convolutional Neural Networks" (NeurIPS 2019)
  ☆45Updated last year
• ai4co / routefinder
  [TMLR 2025 + ICML 2024 FM-Wild Oral] RouteFinder: Towards Foundation Models for Vehicle Routing Problems
  ☆103Updated last month
• google-research / tf-opt
  ☆42Updated 2 weeks ago
• zz1358m / MCTS-AHD-master
  Code for [ICML2025]``Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design``.
  ☆66Updated 7 months ago
• ml-jku / DIffUCO
  ☆63Updated 2 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…
  ☆55Updated 2 years ago
• WXY1427 / Learn-LNS-policy
  ☆35Updated 3 years ago
• sribdcn / Predict-and-Search_MILP_method
  Predict and search framework for MilP
  ☆66Updated 3 years ago
• LOGO-CUHKSZ / ASP
  ☆23Updated last year
• jolibrain / wheatley
  Next-generation scheduling problem solver based on GNNs and Reinforcement Learning
  ☆74Updated 4 months ago
• zdhNarsil / GFlowNet-CombOpt
  PyTorch implementation for our NeurIPS 2023 spotlight paper "Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with G…
  ☆67Updated 2 years ago
• teshnizi / OptiMUS
  Optimization Modeling Using mip Solvers and large language models
  ☆234Updated 2 months ago
• airbus / discrete-optimization
  Discrete Optimization is a python library to ease the definition and re-use of discrete optimization problems and solvers.
  ☆76Updated 2 weeks ago
• Edward-Sun / DIFUSCO
  Code of NeurIPS paper: arxiv.org/abs/2302.08224
  ☆234Updated last year
• lyeskhalil / mipGNN
  ☆26Updated 4 years ago
• ds4dm / ml4co-competition
  Machine Learning for Combinatorial Optimization - NeurIPS'21 competition
  ☆139Updated 3 years ago
• instadeepai / compass
  COMPASS: Combinatorial Optimization with Policy Adaptation using Latent Space Search
  ☆43Updated last year
• instadeepai / poppy
  Population-Based Reinforcement Learning for Combinatorial Optimization
  ☆87Updated last year
• naver / bq-nco
  ☆42Updated 2 years ago
• liujl11git / GNN-LP
  [ICLR 2023 spotlight] "On Representing Linear Programs by Graph Neural Networks" by Ziang Chen, Jialin Liu, Xinshang Wang, Jianfeng Lu, W…
  ☆37Updated 3 months ago
• naver / goal-co
  ☆44Updated 7 months ago
• mit-wu-lab / learning-to-delegate
  [NeurIPS 2021 Spotlight] Learning to Delegate for Large-scale Vehicle Routing
  ☆86Updated 4 years ago
• amazon-science / co-with-gnns-example
  ☆161Updated last year
• pg2455 / Hybrid-learn2branch
  Hybrid Models for Learning to Branch (NeurIPS 2020)
  ☆50Updated 4 years ago