RayZhhh / funsearch
Implementation for "Mathematical discoveries from program search with large language models".
☆23Updated 11 months ago
Alternatives and similar repositories for funsearch:
Users that are interested in funsearch are comparing it to the libraries listed below
- [NeurIPS 2024] ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution☆168Updated last week
- Evolution of Heuristics☆140Updated last month
- A Collection on Large Language Models for Optimization☆217Updated 5 months ago
- Recent research papers about Foundation Models for Combinatorial Optimization☆255Updated last week
- the training and inference code and data for LLMOPT☆38Updated 2 weeks ago
- Large Language Model for MOEA☆46Updated 10 months ago
- A list of awesome papers and resources of the intersection of Large Language Models and Evolutionary Computation.☆81Updated 2 weeks ago
- ☆31Updated 2 years ago
- Reimplementation of "Exact Combinatorial Optimization with Graph Convolutional Neural Networks" (NeurIPS 2019)☆36Updated 7 months ago
- Optimization Modeling Using mip Solvers and large language models☆174Updated 4 months ago
- [NeurIPS 2023] DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization☆149Updated 6 months ago
- Must-read Papers on Large Language Model (LLM) as Optimizers and Automatic Optimization for Prompting LLMs.☆242Updated last year
- [AAAI 2024] GLOP: Learning Global Partition and Local Construction for Solving Large-scale Routing Problems in Real-time☆82Updated 2 months ago
- Implementation of our NeurIPS 2021 paper "A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs".☆99Updated last year
- This is the code for G2MILP, a deep learning-based mixed-integer linear programming (MILP) instance generator.☆30Updated 5 months ago
- Code of NeurIPS paper: arxiv.org/abs/2302.08224☆191Updated 6 months ago
- [NeurIPS 2023] T2T: From Distribution Learning in Training to Gradient Search in Testing for Combinatorial Optimization☆61Updated 2 months ago
- [NeurIPS 2022] "NSNet: A General Neural Probabilistic Framework for Satisfiability Problems"☆18Updated 2 years ago
- ☆41Updated 2 months ago
- ORLM: Training Large Language Models for Optimization Modeling☆101Updated 2 weeks ago
- [TMLR 2024] G4SATBench: Benchmarking and Advancing SAT Solving with Graph Neural Networks☆34Updated 10 months ago
- [ICML 2024] "MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts"☆66Updated 7 months ago
- L2O/NCO codes from CIAM Group at SUSTech, Shenzhen, China☆73Updated 2 months ago
- Winner of NeurIPS 2021 student leaderboard. Self-bootstrapping bayesian optimization for SCIP configuration using GNNs.☆13Updated 2 years ago
- Official implementation of the paper "Chain-of-Experts: When LLMs Meet Complex Operation Research Problems"☆91Updated last month
- ☆23Updated last year
- [ICML'24 Oral] Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems☆32Updated 7 months ago
- Combining Reinforcement Learning and Constraint Programming for Combinatorial Optimization☆185Updated 4 years ago
- Machine Learning for Combinatorial Optimization - NeurIPS'21 competition☆132Updated 2 years ago
- PyTorch implementation of NeuroSAT☆28Updated last year