Search 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.

ellama

Embeddings interface for Ollama

xeofs

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

rustypca

Probabilistic PCA with missing value support using Rust and PyO3

palos

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

vip-hci

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

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.

nlptoolkit-classification

Machine learning library for classification tasks

qgrain

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

torch-pca

Principal Component Anlaysis (PCA) in PyTorch.

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).

h2o-mlflow-flavor

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

ppca-rs

Python+Rust implementation of the Probabilistic Principal Component Analysis model

nexus-pcv

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

ppca-py

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

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

nlptoolkit-classification-cy

Machine learning library for classification tasks

pychemometrics

pyChemometrics - Objects for multivariate analysis of chemometric and metabonomic datasets

msmbuilder

:building_construction: Statistical models for biomolecular dynamics :building_construction:

bibmon

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

augmented-pca

Repository for the AugmentedPCA Python package.

xmca

Maximum Covariance Analysis in Python