Audio Player for Nextcloud and ownCloud

Sparse Partial Least Squares (Sparse PLS) Regression is a Python-based model that integrates dimensionality reduction with variable selection, enabling interpretable analysis of high-dimensional datasets.

The Multi-assay Mass Spectrometry Integration Project

Re-interpretation in Python of J.F. Durand, S. Roman and M. Vivien work about PLS of OCDE data based on a R program by J.F. Durand and R. Sabatier

Curated List of Internet Radio Streams

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

'Rapid measurement of soluble xylo-oligomers using near-infrared spectroscopy (NIRS) and multivariate statistics: calibration model development and practical approaches to model optimization’ (Biotechnology for Biofuels and Bioproducts 2024)

Partial Least Squares implementation in Python

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

pyChemometrics - Objects for multivariate analysis of chemometric and metabonomic datasets

The HotellingEllipse package helps draw the Hotelling's T-squared ellipse on a PCA or PLS score scatterplot by computing the Hotelling's T-squared statistic and providing the ellipse's coordinates, semi-minor, and semi-major axes lengths.

Multimedia playlist parser, supporting a wide range of playlist file formats.

Minimalist and full configurable greetings and TODO list

Reports for the course "Elaborazione di dati scientifici"

Library and executable for working with playlist files.

A tool for converting, inspecting, and modifying media playlists. It can transform playlist targets into relative or absolute paths, and insert, append, reorder, remove or change entries. It can remove duplicate and unfound entries, randomize the order of entries and can convert between asx, cue, jspf, m3u, pls, wpl and xspf playlist formats.

Python implementation of Kernel PLS algorithm (KPLS) and its application for regression and process monitoring using numerical examples.

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

A currated list of good internet radio stations

A Python package to facilitate building process data science solutions including process modeling, monitoring, fault diagnosis, etc.