facebookresearch / symbolicregressionLinks
SR based on LLMs.
☆116Updated 2 years ago
Alternatives and similar repositories for symbolicregression
Users that are interested in symbolicregression are comparing it to the libraries listed below
Sorting:
- Source code and Dataset creation for the paper "Neural Symbolic Regression That Scales"☆102Updated last month
- [NeurIPS 2023] This is the official code for the paper "TPSR: Transformer-based Planning for Symbolic Regression"☆78Updated 11 months ago
- A living benchmark framework for symbolic regression☆275Updated last week
- Official repository for the paper "Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery"☆77Updated 2 years ago
- [DMLR] Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery☆37Updated last year
- ☆30Updated 2 years ago
- Deep Generative Symbolic Regression Code☆26Updated 2 years ago
- Symbolic regression is the task of identifying a mathematical expression that best fits a provided dataset of input and output values. In…☆53Updated 3 years ago
- [ICLR 2025 Oral] This is the official repo for the paper "LLM-SR" on Scientific Equation Discovery and Symbolic Regression with Large Lan…☆179Updated 2 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
- A deep learning framework for symbolic optimization.☆685Updated 9 months ago
- [ICLR 2023] This repository contains the official Pytorch implementation for the paper "Transformer-based model for symbolic regression v…☆24Updated 3 months ago
- ☆12Updated 2 years ago
- Equation Learner, a neural network approach to symbolic regression☆83Updated last year
- ☆67Updated last year
- PyTorch implementation of the EQL network, a neural network for symbolic regression☆41Updated 4 years ago
- Official Implementation of "Transformers Can Do Bayesian Inference", the PFN paper☆237Updated last year
- [ICML 2024] Official Pytorch implementation of the paper "A Neural-Guided Dynamic Symbolic Network for Exploring Mathematical Expressions…☆19Updated 4 months ago
- Library augmented Symbolic Regression in Julia☆27Updated last week
- Experiments from the paper "On Second Order Behaviour in Augmented Neural ODEs"☆60Updated last year
- symbolic regression☆40Updated 3 years ago
- Official Repository for LLAMBO "Large Language Models to Enhance Bayesian Optimization"☆91Updated 10 months ago
- Official code implementation for the ACL 2024 Student Research Workshop paper "In-Context Symbolic Regression: Leveraging Large Language …☆14Updated last year
- Neural Stochastic PDEs: resolution-invariant modelling of continuous spatiotemporal dynamics☆53Updated 2 years ago
- The official implementation of PFNs4BO: In-Context Learning for Bayesian Optimization☆34Updated last month
- Symbolic physics learner: Discovering governing equations via Monte Carlo tree search☆26Updated 2 years ago
- Official code for the ICLR 2021 paper Neural ODE Processes☆75Updated 3 years ago
- Performing Symbolic Regression via Monte Carlo Tree Search (MCTS)☆13Updated 6 years ago
- Code for our paper "Generative Flow Networks for Discrete Probabilistic Modeling"☆84Updated 2 years ago
- Bayesian optimization with Standard Gaussian Processes on high dimensional benchmarks☆17Updated 4 months ago