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.

Streamline the process of adsorption modeling for researchers, by automating the fitting of theoretical adsorption models to empirical isotherm data

A collection of tools to speed up digital note-taking in scientific and mathematical fields.

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.

A general and comprehensive toolkit for generating finite difference formulas, working with Taylor series expansions, and teaching/learning finite difference formulas in Python

A simple regression coefficient calculator in Python

Function to select features for a ML model based on a coeffecient threshold (See README).