teshnizi / OptiMUS
Optimization Modeling Using mip Solvers and large language models
☆189Updated 6 months ago
Alternatives and similar repositories for OptiMUS:
Users that are interested in OptiMUS are comparing it to the libraries listed below
- ORLM: Training Large Language Models for Optimization Modeling☆140Updated last month
- Recent research papers about Foundation Models for Combinatorial Optimization☆288Updated this week
- A Collection on Large Language Models for Optimization☆231Updated 6 months ago
- Predict and search framework for MilP☆53Updated 2 years ago
- Reimplementation of "Exact Combinatorial Optimization with Graph Convolutional Neural Networks" (NeurIPS 2019)☆37Updated 8 months ago
- The LLMOPT project offers a comprehensive set of resources, including the model, dataset, training framework, and inference code, enablin…☆56Updated 2 weeks ago
- [NeurIPS 2024] ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution☆177Updated 3 weeks ago
- Official implementation of the paper "Chain-of-Experts: When LLMs Meet Complex Operation Research Problems"☆92Updated 2 months ago
- ☆31Updated 2 years ago
- Evolution of Heuristics☆153Updated 2 months ago
- ☆26Updated 3 years ago
- [NeurIPS 2023] DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization☆156Updated 7 months ago
- ☆16Updated 2 years ago
- Neur2SP: Neural Two-Stage Stochastic Programming☆47Updated 2 years ago
- ☆46Updated 3 years ago
- Framework for solving discrete optimization problems using a combination of Mixed-Integer Linear Programming (MIP) and Machine Learning (…☆171Updated 5 months ago
- [ICLR 2023] "On Representing Mixed-Integer Linear Programs by Graph Neural Networks" by Ziang Chen, Jialin Liu, Xinshang Wang, Jianfeng L…☆48Updated last year
- Natural Language for Optimization Modelling☆48Updated 4 months ago
- Hybrid Models for Learning to Branch (NeurIPS 2020)☆50Updated 3 years ago
- An end-to-end framework for mixed-integer optimization with data-driven learned constraints.☆122Updated last year
- OptiChat: Explaining Optimization Models Using LLMs☆22Updated last week
- Combining Reinforcement Learning and Constraint Programming for Combinatorial Optimization☆191Updated 4 years ago
- The code of paper Learning Cut Selection for Mixed-Integer Linear Programming via Hierarchical Sequence Model. Zhihai Wang, Xijun Li,…☆56Updated 2 years ago
- Hypergraph Neural Network-Based Combinatorial Optimization☆86Updated 7 months ago
- Parameterizing Branch-and-Bound Search Trees to Learn Branching Policies (AAAI 2021)☆67Updated 3 years ago
- Machine Learning for Combinatorial Optimization - NeurIPS'21 competition☆134Updated 2 years ago
- Learning to branch with reinforcement learning using retrospective trajectories for exact combinatorial optimisation.☆34Updated 2 years ago
- Extensible Combinatorial Optimization Learning Environments☆339Updated 2 weeks ago
- Quickstart for EURO Meets NeurIPS 2022 Vehicle Routing Competition☆96Updated 2 years ago
- Formulate trained predictors in Gurobi models☆233Updated last week