You should use PySR to find scaling laws. Here's an example.
SciPy fixes and extensions
Metric learning algorithms in Python
Tools for diagnostics and assessment of (machine learning) models
BDF font scaler
High-Performance Symbolic Regression in Python and Julia
The practitioner's forecasting library
LSiM is a learned metric to compute distance values for 2D data from numerical simulations
Genetic Programming in Python, with a scikit-learn inspired API
LLaMA: Open and Efficient Foundation Language Models
Weighted least squares meshless interpolator and differentiator.
VolSiM, a CNN-based metric to compute the similarity of 3D data from numerical simulations
Optimization sample codes on Python
Multiscale regression/discrimination analysis software, which uses multiscale area data exported ...
Fast Laplacian Eigenmaps: lightweight multicore LE for non-linear dimensional reduction with mini...