deep-symbolic-mathematics / LLM-SRLinks
[ICLR 2025 Oral] This is the official repo for the paper "LLM-SR" on Scientific Equation Discovery and Symbolic Regression with Large Language Models
☆190Updated 4 months ago
Alternatives and similar repositories for LLM-SR
Users that are interested in LLM-SR are comparing it to the libraries listed below
Sorting:
- [NeurIPS 2023] This is the official code for the paper "TPSR: Transformer-based Planning for Symbolic Regression"☆78Updated last year
- [ICML2025 Oral] LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models☆88Updated 4 months ago
- [ICLR 2024 Spotlight] This is the official code for the paper "SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-t…☆58Updated last year
- SR based on LLMs.☆124Updated 3 years ago
- Official Repository for LLAMBO "Large Language Models to Enhance Bayesian Optimization"☆98Updated 11 months ago
- Library augmented Symbolic Regression in Julia☆30Updated last week
- ☆67Updated 8 months ago
- Source code and Dataset creation for the paper "Neural Symbolic Regression That Scales"☆104Updated 3 months ago
- ☆61Updated 2 months ago
- [Nature Communications 2025] Interactive Symbolic Regression through Offline Reinforcement Learning☆28Updated 3 months ago
- Symbolic regression is the task of identifying a mathematical expression that best fits a provided dataset of input and output values. In…☆55Updated 4 years ago
- A living benchmark framework for symbolic regression☆284Updated last month
- Official code implementation for the ACL 2024 Student Research Workshop paper "In-Context Symbolic Regression: Leveraging Large Language …☆14Updated last year
- [ICLR 2023] This repository contains the official Pytorch implementation for the paper "Transformer-based model for symbolic regression v…☆24Updated 5 months ago
- [DMLR] Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery☆37Updated last year
- Simple working implementation for google-deepmind FunSearch algorithm☆21Updated last year
- Symbolic physics learner: Discovering governing equations via Monte Carlo tree search☆26Updated 2 years ago
- Official implementation of Stochastic Taylor Derivative Estimator (STDE) NeurIPS2024☆124Updated last year
- Deep Generative Symbolic Regression Code☆27Updated 2 years ago
- Official repository for the paper "Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery"☆77Updated 2 years ago
- GflowNets, MCMC, Metropolis-Hasting, Gibbs sampling, Metropolis-adjusted Langevin, Inverse Transform Sampling, Acceptance-Rejection Metho…☆86Updated 2 years ago
- Official source code for "Graph Neural Networks for Learning Equivariant Representations of Neural Networks". In ICLR 2024 (oral).☆84Updated last year
- Generative Flow Networks - GFlowNet☆296Updated this week
- ☆231Updated last week
- Bayesian optimization with Standard Gaussian Processes on high dimensional benchmarks☆18Updated 5 months ago
- Neural Stochastic PDEs: resolution-invariant modelling of continuous spatiotemporal dynamics☆53Updated 3 years ago
- [ICML 2024] Official Pytorch implementation of the paper "A Neural-Guided Dynamic Symbolic Network for Exploring Mathematical Expressions…☆21Updated 3 weeks ago
- Code repository for Trajectory Flow Matching☆93Updated last year
- ☆31Updated 2 years ago
- This repository contains code for the paper "Learning Decision Trees as Amortized Structure Inference"☆15Updated 8 months ago