Fast CPU and GPU Python implementations of Improved Kernel Partial Least Squares (PLS) by Dayal and MacGregor (1997) and Fast Partition-Based Cross-Validation With Centering and Scaling for XTX and XTY by Engstrøm and Jensen (2025).

Computation of training set (X^T * W * X) and (X^T * W * Y) or (X^T * X) and (X^T * Y) in a cross-validation setting using the fast algorithms by Engstrøm and Jensen (2025).

Omics data integration with o2plsda

Trait estimation and taxonomic discrimination of herbarium leaves with spectra.

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

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

HiDN a ML pipeline for sparse high dimensional data

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

Evaluating and Optimizing Wavelength Selection Using the CCARS Algorithm and Spectral Signals for Lettuce Classification Leveraging PLS-DA Model

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