Distributed High-Performance Symbolic Regression in Julia
-
Updated
Nov 15, 2024 - Julia
Distributed High-Performance Symbolic Regression in Julia
SymbolicNumericIntegration.jl: Symbolic-Numerics for Solving Integrals
Ridiculously fast symbolic expressions
Julia implementation of the GP-NLS algorithm described in the paper "Parameter identifcation for symbolic regression using nonlinear least squares"
This is a WIP implementation of Richman & Wüthrich (2022) using Julia's Flux.jl + CUDA.jl
Interpreting Neural Networks through Symbolic Regression
Gene Expression Programming for symbolic regression in Julia
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."