Statistical Learning Python Packages

m2cgen

Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies

nnetsauce

Statistical/Machine Learning using Randomized and Quasi-Randomized (neural) networks (currently Python & R)

mlsauce

Miscellaneous Statistical/Machine Learning stuff (currently Python & R)

bcn

Boosted Configuration (neural) Networks

expsmoothing

A simple introduction to statistical learning for time-series forecasting using the Holt Simple Exponential Smoothing method

woeboost

Weight of Evidence (WOE) Gradient Boosting

ondil

A package for online distributional learning.

rolch

A package for online distributional learning.

skwdro

Distributionally robust machine learning with Pytorch and Scikit-learn wrappers

stattools

Statistical learning and inference algorithms implemented in Python 3

mrinversion

Linear inversion of two-dimensional isotropic-anisotropic NMR correlation spectrum.

fenbux

A Simple Statistical Distribution Library in JAX

composite-silhouette

A clustering evaluation framework that combines micro- and macro-averaged silhouette scores into a composite metric using statistical weighting.

sthd

STHD: probabilistic cell typing of Single spots in whole Transcriptome spatial data with High Definition

etec325library

Official Python Library for ETEC 325 – Applied Statistics. Published by the Department of Electrical & Computer Engineering Technology – New York Institute of Technology.

crimedatasets

The crimedatasets package provides a comprehensive collection of crime-related datasets from around the world. It includes extensive data on topics such as mass shootings, hate crimes, incarceration statistics, serial killers, corruption indexes, law enforcement data, criminal justice metrics, drug overdoses and more.

mixupy

Python package for data augmentation inspired by Mixup: Beyond Empirical Risk Minimization

pyipm

A python port of the OpenCossan Interval Predictor Model toolbox

simplexers

Vector Projections onto Positive and Capped Simplices