Alternatives and similar repositories for LLMOPT

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

• xzymustbexzy / Chain-of-Experts
  Official implementation of the paper "Chain-of-Experts: When LLMs Meet Complex Operation Research Problems"
  ☆99Updated 4 months ago
• Cardinal-Operations / ORLM
  ORLM: Training Large Language Models for Optimization Modeling
  ☆161Updated 2 months ago
• yangzhch6 / ReSocratic
  OptiBench and ReSocratic Synthesis Method
  ☆24Updated 3 months ago
• ai4co / reevo
  [NeurIPS 2024] ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution
  ☆188Updated last month
• bwz96sco / or_llm_agent
  ☆33Updated last month
• sunnweiwei / CO-Bench
  Benchmarking Language Model Agents in Algorithm Search for Combinatorial Optimization
  ☆20Updated 3 weeks ago
• RoyalSkye / Routing-MVMoE
  [ICML 2024] "MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts"
  ☆70Updated 3 weeks ago
• FeiLiu36 / LLM4Opt
  A Collection on Large Language Models for Optimization
  ☆257Updated 7 months ago
• ai4co / awesome-fm4co
  Recent research papers about Foundation Models for Combinatorial Optimization
  ☆320Updated last week
• LOGO-CUHKSZ / ASP
  ☆23Updated last year
• FeiLiu36 / EoH
  Evolution of Heuristics
  ☆169Updated 4 months ago
• FeiLiu36 / LLM4MOEA
  Large Language Model for MOEA
  ☆53Updated last year
• wuxingyu-ai / LLM4EC
  A list of awesome papers and resources of the intersection of Large Language Models and Evolutionary Computation.
  ☆96Updated 3 months ago
• WXY1427 / Learn-LNS-policy
  ☆32Updated 2 years ago
• Zangir / LLM-for-CP
  ☆11Updated 8 months ago
• xyfffff / rethink_mcts_for_tsp
  [ICML'24 Oral] Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems
  ☆37Updated 2 months 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,…
  ☆58Updated 2 years ago
• jwliao-ai / MARFT
  MARFT stands for Multi-Agent Reinforcement Fine-Tuning. This repository implements an LLM-based multi-agent reinforcement fine-tuning fra…
  ☆43Updated last week
• teshnizi / OptiMUS
  Optimization Modeling Using mip Solvers and large language models
  ☆198Updated 7 months ago
• zz1358m / MCTS-AHD-master
  Code for [ICML2025]``Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design``.
  ☆43Updated last month
• ds4dm / learn2branch-ecole
  Reimplementation of "Exact Combinatorial Optimization with Graph Convolutional Neural Networks" (NeurIPS 2019)
  ☆41Updated 10 months ago
• nl4opt / nl4opt-competition
  Natural Language for Optimization Modelling
  ☆52Updated 2 weeks ago
• henry-yeh / GLOP
  [AAAI 2024] GLOP: Learning Global Partition and Local Construction for Solving Large-scale Routing Problems in Real-time
  ☆91Updated 5 months ago
• sribdcn / Predict-and-Search_MILP_method
  Predict and search framework for MilP
  ☆56Updated 2 years ago
• henry-yeh / DeepACO
  [NeurIPS 2023] DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization
  ☆162Updated 8 months 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
• DIMESTeam / DIMES
  ☆42Updated last month
• junkangwu / Dr_DPO
  [ICLR 2025] Official code of "Towards Robust Alignment of Language Models: Distributionally Robustifying Direct Preference Optimization"
  ☆14Updated last year
• Thinklab-SJTU / T2TCO
  [NeurIPS 2023] T2T: From Distribution Learning in Training to Gradient Search in Testing for Combinatorial Optimization
  ☆63Updated 5 months ago
• mit-wu-lab / learning-to-configure-separators
  [NeurIPS 2023] Learning to Configure Separators in Branch-and-Cut
  ☆23Updated last year