Distributed High-Performance Symbolic Regression in Julia
-
Updated
Jul 15, 2024 - Julia
Distributed High-Performance Symbolic Regression in Julia
Ridiculously fast symbolic expressions
SymbolicNumericIntegration.jl: Symbolic-Numerics for Solving Integrals
Julia implementation of the GP-NLS algorithm described in the paper "Parameter identifcation for symbolic regression using nonlinear least squares"
Interpreting Neural Networks through Symbolic Regression
This is a WIP implementation of Richman & Wüthrich (2022) using Julia's Flux.jl + CUDA.jl
This is a symbolic regression algorithm, whereby the Gene Expression Programming served as role model.
Add a description, image, and links to the symbolic-regression topic page so that developers can more easily learn about it.
To associate your repository with the symbolic-regression topic, visit your repo's landing page and select "manage topics."