Canonical Correlation Analysis Zoo: A collection of Regularized, Deep Learning based, Kernel, and Probabilistic methods in a scikit-learn style framework
-
Updated
Apr 19, 2024 - Python
Canonical Correlation Analysis Zoo: A collection of Regularized, Deep Learning based, Kernel, and Probabilistic methods in a scikit-learn style framework
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).
Python library of 2-dimensional matrix algorithms.
Python scripts to run PLS (Physical Layer Security) simulations using Cooperative Jamming techniques in V2X networks.
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).
This repository provides a GPU implementation of the Partial Least Squares (PLS) algorithm.
Paper: Face Verification based on Relational Disparity Features and Partial Least Squares Models (SIBGRAPI'17)
Add a description, image, and links to the pls topic page so that developers can more easily learn about it.
To associate your repository with the pls topic, visit your repo's landing page and select "manage topics."