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Interpretable Machine Learning for Science with PySR and SymbolicRegression.jl

. (2023)cite arxiv:2305.01582Comment: 24 pages, 5 figures, 3 tables. Feedback welcome. Paper source found at https://github.com/MilesCranmer/pysr_paper ; PySR at https://github.com/MilesCranmer/PySR ; SymbolicRegression.jl at https://github.com/MilesCranmer/SymbolicRegression.jl.

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