High-Performance Symbolic Regression in Python and Julia

Physical Symbolic Optimization

Distributed High-Performance Symbolic Regression in Julia

Encoding physics to learn reaction-diffusion processes

Official repository for the paper "Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery"

EPDE - partial differential equations discovery framework

[NeurIPS 2023] This is the official code for the paper "TPSR: Transformer-based Planning for Symbolic Regression"

This is the official repo for the paper "LLM-SR" on Scientific Equation Discovery and Symbolic Regression with Large Language Models

An approach for embedding hierarhical structures into a continuous vector space using variational autoencoders.

[ICLR 2024 Spotlight] SNIP on Symbolic Regression: Deep Symbolic Regression with Multimodal Pretraining

Extremly fast c++/python symbolic regression library based on parallel local search.

Physics-informed refinement learning for equation discovery

A repository for the Behaviour-aware Equation distance measure

Advanced Machine Learning