Physically-informed model discovery of systems with nonlinear, rational terms using the SINDy-PI method. Contains functionality for spectral filtering/differentiation.
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Updated
Oct 26, 2021 - Python
Physically-informed model discovery of systems with nonlinear, rational terms using the SINDy-PI method. Contains functionality for spectral filtering/differentiation.
Addresses the problem of reconstructing images acquired by diffuse optical tomography using deep learning.
A collection of tools to speed up digital note-taking in scientific and mathematical fields.
A simple regression coefficient calculator in Python
A general and comprehensive toolkit for generating finite difference formulas, working with Taylor series expansions, and teaching/learning finite difference formulas in Python
Function to select features for a ML model based on a coeffecient threshold (See README).
Uses Machine Learning API SKLearn and Pandas to rank relevancy between data columns. Linear regression determines the coefficients between columns to indicate the amount of impact columns have in relation to each other.
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