Pca Python Packages

h2o

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

pca

pca: A Python Package for Principal Component Analysis.

process-improve

Python toolkit for analysis of industrial process data; multivariate analysis, designed experiments, process monitoring.

augmented-pca

Repository for the AugmentedPCA Python package.

cvmatrix

Computation of training set (X^T * W * X) and (X^T * W * Y) or (X^T * X) and (X^T * Y) in a cross-validation setting using the fast algorithms by Engstrøm and Jensen (2025).

xeofs

Comprehensive EOF analysis in Python with xarray: A versatile, multidimensional, and scalable tool for advanced climate data analysis

h2o-client

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

bpca

Bayesian Principal Component Analysis in Python

palos

A repo that contains miscellaneous Python/C++ modules/programs, a standalone Python module 'palos' by the yfish group (can be installed by pip).

qgrain

An open-source and easy-to-use software for the comprehensive analysis of grain-size distributions

vip-hci

VIP is a python package/library for angular, reference star and spectral differential imaging for exoplanet/disk detection through high-contrast imaging.

msmbuilder

:building_construction: Statistical models for biomolecular dynamics :building_construction:

pynmranalysis

A Python Toolbox for preprocessing and analysing NMR data

torch-pca

Principal Component Anlaysis (PCA) in PyTorch.

zap

the Zurich Atmosphere Purge. Sky subtraction for MUSE.

fraposa-pgsc

Tools to perform ancestry projection to a reference dataset within the calculator pipeline (pgsc_calc)

sklearn-utilities

Utilities for scikit-learn. Append prediction to x, append prediction to x single, append x prediction to x, compose var estimator, data frame wrapper, drop by noise prediction, drop missing rows y, dummy regressor var, estimator wrapper base, excluded column transformer pandas, feature union pandas, id transformer, included column transformer pand

rustypca

Implements Probabilistic PCA by means of EM via rust

bibmon

Python package that provides predictive models for fault detection, soft sensing, and process condition monitoring.

ppca-rs

Python+Rust implementation of the Probabilistic Principal Component Analysis model

ellama

Embeddings interface for Ollama

featlens

Model-agnostic feature-map visualization: PCA-to-RGB feature maps from any vision model and any layer.

ppca-py

[ppca-cpp] Probabilistic PCA (PPCA) with missing-data support — fast C++ core, clean Python API.

pychemometrics

pyChemometrics - Objects for multivariate analysis of chemometric and metabonomic datasets