Canonical Correlation Analysis Zoo: A collection of Regularized, Deep Learning based, Kernel, and Probabilistic methods in a scikit-learn style framework

Minimalist and full configurable greetings and TODO list

pyChemometrics - Objects for multivariate analysis of chemometric and metabonomic datasets

Python library for chemometric data analysis

Partial Least Squares implementation in Python

Example of NIR spectrogram processing for regression using Python

Several examples of multivariate techniques implemented in R, Python, and SAS. Multivariate concrete dataset retrieved from https://archive.ics.uci.edu/ml/datasets/Concrete+Slump+Test. Credit to Professor I-Cheng Yeh.

Paper: Towards Open-Set Face Recognition using Hashing Functions (IJCB'17)

Code for quantifying the uncertainty of a PLS prediction using bootstrap prediction.

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

Download videos from Echo360

Python library of 2-dimensional matrix algorithms.

The Multi-assay Mass Spectrometry Integration Project

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

Python scripts to run PLS (Physical Layer Security) simulations using Cooperative Jamming techniques in V2X networks.

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

This repository provides a GPU implementation of the Partial Least Squares (PLS) algorithm.

PyDownloader is a new python script app to download requirement and enjoy the python!

PLS Data Grabber

Paper: Face Verification based on Relational Disparity Features and Partial Least Squares Models (SIBGRAPI'17)