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

Quasi-randomized (neural) networks

mlsauce

Miscellaneous Statistical/Machine Learning tools

bcn

Boosted Configuration Networks

expsmoothing

Exponential smoothing forecast model

stattools

Statistical learning and inference algorithms implemented in Python 3

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.

rolch

A package for online distributional learning.

ondil

Methods for online / incremental estimation of distributional regression models

sthd

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

fenbux

A Simple Statistical Distribution Library in JAX

skwdro

A Robust ML toolbox

composite-silhouette

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

mrinversion

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

woeboost

Weight of Evidence (WOE) Gradient Boosting

etec325library

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

pyipm

Interval Predictor Models in Python

mixupy

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

simplexers

Vector Projections onto Positive and Capped Simplices