Alternatives and similar repositories for Chain-of-Experts:

Users that are interested in Chain-of-Experts are comparing it to the libraries listed below

• Cardinal-Operations / ORLM
  ORLM: Training Large Language Models for Optimization Modeling
  ☆87Updated 3 months ago
• ai4co / reevo
  [NeurIPS 2024] ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution
  ☆151Updated 2 weeks ago
• caigaojiang / LLMOPT
  the training and inference code and data for LLMOPT
  ☆18Updated last week
• FeiLiu36 / EoH
  Evolution of Heuristics
  ☆116Updated 3 months ago
• FeiLiu36 / LLM4Opt
  A Collection on Large Language Models for Optimization
  ☆193Updated 3 months ago
• WXY1427 / Learn-LNS-policy
  ☆30Updated 2 years ago
• teshnizi / OptiMUS
  Optimization Modeling Using mip Solvers and large language models
  ☆165Updated 3 months ago
• ai4co / awesome-fm4co
  Recent research papers about Foundation Models for Combinatorial Optimization
  ☆213Updated last week
• RoyalSkye / Routing-MVMoE
  [ICML 2024] "MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts"
  ☆59Updated 6 months ago
• sribdcn / Predict-and-Search_MILP_method
  Predict and search framework for MilP
  ☆48Updated 2 years ago
• henry-yeh / DeepACO
  [NeurIPS 2023] DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization
  ☆143Updated 4 months ago
• wuxingyu-ai / LLM4EC
  A list of awesome papers and resources of the intersection of Large Language Models and Evolutionary Computation.
  ☆68Updated 2 months ago
• nl4opt / nl4opt-competition
  Natural Language for Optimization Modelling
  ☆42Updated last month
• ds4dm / learn2branch-ecole
  Reimplementation of "Exact Combinatorial Optimization with Graph Convolutional Neural Networks" (NeurIPS 2019)
  ☆34Updated 5 months ago
• FeiLiu36 / LLM4MOEA
  Large Language Model for MOEA
  ☆37Updated 8 months ago
• Thinklab-SJTU / T2TCO
  [NeurIPS 2023] T2T: From Distribution Learning in Training to Gradient Search in Testing for Combinatorial Optimization
  ☆58Updated 2 weeks ago
• DIMESTeam / DIMES
  ☆40Updated last week
• Thinklab-SJTU / PPO-BiHyb
  Implementation of our NeurIPS 2021 paper "A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs".
  ☆97Updated last year
• LOGO-CUHKSZ / ASP
  ☆23Updated last year
• henry-yeh / GLOP
  [AAAI 2024] GLOP: Learning Global Partition and Local Construction for Solving Large-scale Routing Problems in Real-time
  ☆79Updated 3 weeks ago
• GMC-DRL / Awesome-MetaBBO
  A collection of MetaBBO papers and code sources
  ☆30Updated last month
• CIAM-Group / NCO_code
  L2O/NCO codes from CIAM Group at SUSTech, Shenzhen, China
  ☆70Updated 3 weeks ago
• AGI-Edgerunners / LLM-Optimizers-Papers
  Must-read Papers on Large Language Model (LLM) as Optimizers and Automatic Optimization for Prompting LLMs.
  ☆234Updated 10 months ago
• naver / bq-nco
  ☆35Updated last year
• RoyalSkye / Omni-VRP
  [ICML 2023] "Towards Omni-generalizable Neural Methods for Vehicle Routing Problems"
  ☆47Updated last year
• mit-wu-lab / learning-to-configure-separators
  [NeurIPS 2023] Learning to Configure Separators in Branch-and-Cut
  ☆20Updated 11 months ago
• alstn12088 / Sym-NCO
  ☆25Updated last year
• Edward-Sun / DIFUSCO
  Code of NeurIPS paper: arxiv.org/abs/2302.08224
  ☆183Updated 5 months ago
• ai4co / parco
  PARCO: Parallel AutoRegressive Combinatorial Optimization
  ☆18Updated 4 months ago