Alternatives and similar repositories for LLM-for-CP

Users that are interested in LLM-for-CP are comparing it to the libraries listed below

• FeiLiu36 / EoH
  Evolution of Heuristics
  ☆242Updated 3 months ago
• RoyalSkye / Routing-MVMoE
  [ICML 2024] "MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts"
  ☆80Updated 6 months ago
• Thinklab-SJTU / PPO-BiHyb
  Implementation of our NeurIPS 2021 paper "A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs".
  ☆103Updated 2 years ago
• ai4co / reevo
  [NeurIPS 2024] ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution
  ☆228Updated last week
• bwz96sco / or_llm_agent
  OR-LLM-Agent: Automating Modeling and Solving of Operations Research Optimization Problems with Reasoning LLM
  ☆70Updated 3 months ago
• FeiLiu36 / LLM4MOEA
  Large Language Model for MOEA
  ☆60Updated last year
• 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,…
  ☆65Updated 2 years ago
• wondergo2017 / TSP-HAC
  Codes for AAAI22 paper "Learning to Solve Travelling Salesman Problem with Hardness-Adaptive Curriculum"
  ☆23Updated 3 years ago
• Bill-CJB / NHDE
  ☆26Updated 2 years ago
• LOGO-CUHKSZ / ASP
  ☆23Updated last year
• WXY1427 / Learn-LNS-policy
  ☆34Updated 3 years ago
• wuxingyu-ai / LLM4EC
  A list of awesome papers and resources of the intersection of Large Language Models and Evolutionary Computation.
  ☆121Updated 8 months ago
• jieyibi / AMDKD
  The implementation code of our paper "Learning Generalizable Models for Vehicle Routing Problems via Knowledge Distillation", accepted at…
  ☆57Updated last month
• antgroup / LLMOPT
  The LLMOPT project offers a comprehensive set of resources, including the model, dataset, training framework, and inference code, enablin…
  ☆109Updated 3 weeks ago
• henry-yeh / GLOP
  [AAAI 2024] GLOP: Learning Global Partition and Local Construction for Solving Large-scale Routing Problems in Real-time
  ☆98Updated 10 months ago
• FeiLiu36 / LLM4Opt
  A Collection on Large Language Models for Optimization
  ☆317Updated last month
• CIAM-Group / NCO_code
  L2O/NCO codes from CIAM Group at SUSTech, Shenzhen, China
  ☆88Updated 6 months ago
• ai4co / real-routing-nco
  [NeurIPS 2025 DiffCoALG WS] Neural Combinatorial Optimization for Real-World Routing
  ☆20Updated 2 months ago
• CIAM-Group / SIL
  ☆21Updated 7 months ago
• sribdcn / Predict-and-Search_MILP_method
  Predict and search framework for MilP
  ☆64Updated 3 years ago
• YifanYang1995 / GOODRL
  [ICLR 2025] Graph Assisted Offline-Online Deep Reinforcement Learning (GOODRL) for Dynamic Workflow Scheduling (DWS)
  ☆21Updated 9 months ago
• Graph-COM / Meta_CO
  the official repository of the paper unsupervised learning for combinatorial optimization needs meta learning
  ☆10Updated 2 years ago
• xyfffff / rethink_mcts_for_tsp
  [ICML'24 Oral] Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems
  ☆40Updated 8 months ago
• dingyuan-shi / Learning-To-Dispatch
  Source code of paper Combinatorial Optimization Meets Reinforcement Learning: Effective Taxi Order Dispatching at Large-Scale (TKDE 2022)…
  ☆26Updated 3 years ago
• henry-yeh / DeepACO
  [NeurIPS 2023] DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization
  ☆174Updated last year
• DIMESTeam / DIMES
  ☆45Updated 7 months ago
• xzymustbexzy / Chain-of-Experts
  Official implementation of the paper "Chain-of-Experts: When LLMs Meet Complex Operation Research Problems"
  ☆111Updated 9 months ago
• FeiLiu36 / MTNCO
  multi-task learning for routing problem
  ☆20Updated last week
• Cardinal-Operations / ORLM
  ORLM: Training Large Language Models for Optimization Modeling
  ☆218Updated 2 months ago
• alstn12088 / Sym-NCO
  ☆32Updated last year