astroautomata/PySR

High-Performance Symbolic Regression in Python and Julia

About the project

PySR is a Python and Julia tool for symbolic regression, a machine-learning method that searches for mathematical expressions fitting an objective while remaining interpretable. Data scientists use it to discover equations from low-dimensional datasets and to turn neural-network behavior into analytic formulas. Its catalogue skill supports workflows that use PySR.

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pysr

astroautomata/PySR

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Use when fitting equations to data with PySR or SymbolicRegression.jl, when a user wants an interpretable formula, symbolic model, scaling law, or empirical relation discovered from numeric data, or when debugging a PySR search that is slow, stuck, or giving poor equations.

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