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.

featlens

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

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.

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).

nlptoolkit-classification

Machine learning library for classification tasks

vip-hci

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

augmented-pca

Repository for the AugmentedPCA Python package.

nexus-pcv

A CLI tool to perform a pre-change validation on Nexus Dashboard Insights.

xeofs

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

nlptoolkit-classification-cy

Machine learning library for classification tasks

palos

Misc Python modules developed and used by the yfish group

torch-pca

Principal Component Anlaysis (PCA) in PyTorch.

pychemometrics

pyChemometrics - Objects for multivariate analysis of chemometric and metabonomic datasets

ellama

Embeddings interface for Ollama

qgrain

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

bpca

Bayesian Principal Component Analysis in Python

rustypca

Probabilistic PCA with missing value support using Rust and PyO3

msmbuilder

:building_construction: Statistical models for biomolecular dynamics :building_construction:

ppca-py

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

hddflyzer

Traceable, reproducible molecular descriptor-space workflows for CLI and Python.

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

ppca-rs

Python+Rust implementation of the Probabilistic Principal Component Analysis model