Fast CPU and GPU Python implementations of Improved Kernel PLS by Dayal and MacGregor (1997) and Shortcutting Cross-Validation by Engstrøm (2024).
Computation of training set (X^T * X) and (X^T * Y) in a cross-validation setting using the fast algorithms by Engstrøm (2024).
Omics data integration with o2plsda
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.
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
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!
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