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empiricalbench's Introduction

Interpretable Machine Learning for Science
with PySR & SymbolicRegression.jl

Article status Article tarball Read the article arXiv

This repository holds the source code for the PySR & SymbolicRegression.jl paper, including LaTeX, raw data, and plotting code.

Click here to download the PDF, and feel free to submit a PR to suggest any changes to the paper!

Build

You can build the paper, including generating all plots and tables from source, with:

showyourwork build

which uses showyourwork to create ms.pdf in the current directory.

You can also fork the repository, enable GitHub actions, and the build action will do this automatically.

This is an open source scientific article created using the showyourwork workflow.

empiricalbench's People

Contributors

milescranmer avatar gaurav-arya avatar juliareuter avatar

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