Fast CPU and GPU Python implementations of Improved Kernel PLS by Dayal and MacGregor (1997) and Shortcutting Cross-Validation by Engstrøm (2024).
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Updated
Aug 5, 2024 - Python
Fast CPU and GPU Python implementations of Improved Kernel PLS by Dayal and MacGregor (1997) and Shortcutting Cross-Validation by Engstrøm (2024).
A project focused on the development of generalized spectra-trait models for the prediction of leaf photosynthetic capacity. This includes models focused on the prediction of Vcmax, Jmax and dark respiration as well as leaf nitrogen, leaf mass per area (LMA), leaf water content (LWC).
Computation of training set (X^T * X) and (X^T * Y) in a cross-validation setting using the fast algorithms by Engstrøm (2024).
Ensamble Voting for Financial Time Series
Component-based multivariate statistical tools for exploratory multiblock analysis.
Diretório com os algoritmos de pré-processamento e modelos para análise de dados espectrais da uva de mesa Cotton Candy.
A compilation of functions and scripts I've created to streamline analysis of phosphoproteomic data in Python!
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