Fast CPU and GPU Python implementations of Improved Kernel PLS by Dayal and MacGregor (1997) and Shortcutting Cross-Validation by Engstrøm (2024).

Omics data integration with o2plsda

Variable selection for NIR spectral analysis(regression and classification) based on WRC, VIP, SFS, and SPA

Computation of training set (X^T * X) and (X^T * Y) in a cross-validation setting using the fast algorithms by Engstrøm (2024).

Chemometrics library for data fusion, model training and prediction of data from multiple sensor sources.

A MATLAB toolbox for supervised linear dimension reduction (SLDR) including LDA, HLDA, PLSDA, MMDA, HMMDA and SDA

HiDN a ML pipeline for sparse high dimensional data

A compilation of functions and scripts I've created to streamline analysis of phosphoproteomic data in Python!