Alternatives and similar repositories for OptiMUS:

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

• Cardinal-Operations / ORLM
  ORLM: Training Large Language Models for Optimization Modeling
  ☆85Updated 2 months ago
• FeiLiu36 / LLM4Opt
  A Collection on Large Language Models for Optimization
  ☆186Updated 2 months ago
• ai4co / awesome-fm4co
  Recent research papers about Foundation Models for Combinatorial Optimization
  ☆197Updated this week
• xzymustbexzy / Chain-of-Experts
  Official implementation of the paper "Chain-of-Experts: When LLMs Meet Complex Operation Research Problems"
  ☆63Updated 2 weeks ago
• sribdcn / Predict-and-Search_MILP_method
  Predict and search framework for MilP
  ☆47Updated 2 years ago
• ai4co / reevo
  [NeurIPS 2024] ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution
  ☆145Updated last month
• FeiLiu36 / EoH
  Evolution of Heuristics
  ☆108Updated 2 months ago
• ANL-CEEESA / MIPLearn
  Framework for solving discrete optimization problems using a combination of Mixed-Integer Linear Programming (MIP) and Machine Learning (…
  ☆158Updated last month
• WXY1427 / Learn-LNS-policy
  ☆30Updated 2 years ago
• google-deepmind / neural_lns
  ☆42Updated 2 years ago
• khalil-research / RLCG
  ☆14Updated 2 years ago
• hwiberg / OptiCL
  An end-to-end framework for mixed-integer optimization with data-driven learned constraints.
  ☆118Updated last year
• ds4dm / learn2branch-ecole
  Reimplementation of "Exact Combinatorial Optimization with Graph Convolutional Neural Networks" (NeurIPS 2019)
  ☆34Updated 4 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…
  ☆40Updated last year
• PyVRP / VRPLIB
  Python package to read and write vehicle routing problem instances.
  ☆96Updated 3 months ago
• ds4dm / branch-search-trees
  Parameterizing Branch-and-Bound Search Trees to Learn Branching Policies (AAAI 2021)
  ☆67Updated 3 years ago
• meituan / Meituan-INFORMS-TSL-Research-Challenge
  ☆112Updated 3 months ago
• khalil-research / Neur2SP
  Neur2SP: Neural Two-Stage Stochastic Programming
  ☆38Updated last year
• cwfparsonson / retro_branching
  Learning to branch with reinforcement learning using retrospective trajectories for exact combinatorial optimisation.
  ☆34Updated last year
• cpwan / RLOR
  Reinforcement learning for operation research problems with OpenAI Gym and CleanRL
  ☆91Updated last year
• AI4Finance-Foundation / RLSolver
  Solvers for NP-hard and NP-complete problems with an emphasis on high-performance GPU computing.
  ☆142Updated 5 months ago
• dongjinkun / COPZoo
  Neural Network for solving challenging Combinatorial Optimization Problems
  ☆45Updated last week
• wouterkool / dpdp
  DPDP
  ☆99Updated 2 years ago
• JayMan91 / aaai_predit_then_optimize
  Code release for AAAI 2020 paper "Smart Predict-and-Optimize for Hard Combinatorial Optimization Problems"
  ☆37Updated 6 months ago
• tumBAIS / euro-meets-neurips-2022
  ☆40Updated 7 months ago
• ortec / euro-neurips-vrp-2022-quickstart
  Quickstart for EURO Meets NeurIPS 2022 Vehicle Routing Competition
  ☆88Updated last year
• paulgrigas / SmartPredictThenOptimize
  Code for the paper "Smart 'Predict, then Optimize'"
  ☆71Updated 5 months ago
• henry-yeh / DeepACO
  [NeurIPS 2023] DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization
  ☆142Updated 3 months ago
• ambros-gleixner / MIPcc23
  The MIP Workshop 2023 Computational Competition
  ☆41Updated 11 months ago
• nasheydari / HypOp
  Hypergraph Neural Network-Based Combinatorial Optimization
  ☆83Updated 3 months ago