High-Performance Symbolic Regression in Python and Julia

Physical Symbolic Optimization

Genetic Programming in Python, with a scikit-learn inspired API

Distributed High-Performance Symbolic Regression in Julia

Generating sets of formulaic alpha (predictive) stock factors via reinforcement learning.

A data-driven method combining symbolic regression and compressed sensing for accurate & interpretable models.

A framework for gene expression programming (an evolutionary algorithm) in Python

C++ Large Scale Genetic Programming

Symbolic regression solver, based on genetic programming methodology.

SymbolicNumericIntegration.jl: Symbolic-Numerics for Solving Integrals

Ridiculously fast symbolic expressions

a python 3 library based on deap providing abstraction layers for symbolic regression problems.

EC-KitY: A scikit-learn-compatible Python tool kit for doing evolutionary computation.

Pruner-Zero: Evolving Symbolic Pruning Metric from scratch for LLMs

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

Automatic equation building and curve fitting. Runs on Tensorflow. Built for academia and research.

🔮 Symbolic regression library

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

predicting equations from raw data with deep learning

Genetic Programming version of GOMEA. Also includes standard tree-based GP, and Semantic Backpropagation-based GP