197 skills found · Page 1 of 7
astroautomata / PySRHigh-Performance Symbolic Regression in Python and Julia
WassimTenachi / PhySOPhysical Symbolic Optimization
trevorstephens / GplearnGenetic Programming in Python, with a scikit-learn inspired API
ICT-FinD-Lab / AlphagenGenerating sets of formulaic alpha (predictive) stock factors via reinforcement learning.
astroautomata / SymbolicRegression.jlDistributed High-Performance Symbolic Regression in Julia
rouyang2017 / SISSOA data-driven method combining symbolic regression and compressed sensing for accurate & interpretable models.
cavalab / SrbenchA living benchmark framework for symbolic regression
astroautomata / SymTorchDeep Learning Interpretability with Symbolic Regression
EMI-Group / EvogpA GPU-accelerated library for Tree-based Genetic Programming, leveraging PyTorch and custom CUDA kernels for high-performance evolutionary computation. It supports symbolic regression, classification, and policy optimization with advanced features like multi-output trees and benchmark tools.
deep-symbolic-mathematics / LLM SR[ICLR 2025 Oral] This is the official repo for the paper "LLM-SR" on Scientific Equation Discovery and Symbolic Regression with Large Language Models
UePG-21 / GpquantMining technical factors based on symbolic regression via genetic algorithm
ShuhuaGao / GeppyA framework for gene expression programming (an evolutionary algorithm) in Python
heal-research / OperonC++ Large Scale Genetic Programming
VA00 / SymbolicRegressionPackageBasic building blocks for brute-force and random symbolic regression methods in Mathematica
spyare-git / Lacuna EliminationFalsification-Driven Biological Law Engine 2026 — Rejected 194 of 203 Candidates
SymbolicML / DynamicExpressions.jlRidiculously fast symbolic expressions
lagodiuk / Genetic ProgrammingSymbolic regression solver, based on genetic programming methodology.
SciML / SymbolicNumericIntegration.jlSymbolicNumericIntegration.jl: Symbolic-Numerics for Solving Integrals
intell-sci-comput / PSEOfficial PyTorch implementation of PSE/PSRN: Fast and efficient symbolic expression discovery through parallelized symbolic enumeration. Evaluates millions of expressions simultaneously on GPU with automated subtree reuse.
SymposiumOrganization / NeuralSymbolicRegressionThatScalesSource code and Dataset creation for the paper "Neural Symbolic Regression That Scales"
