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 tools

bcn

Boosted Configuration (neural) Networks

stattools

Statistical learning and inference algorithms implemented in Python 3

expsmoothing

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

rolch

A package for online distributional learning.

ondil

A package for online distributional learning.

crimedatasets

A curated collection of crime-related datasets for data analysis, criminology research, and education. Includes international crime statistics, incarceration data, mass shootings, hate crimes, and more from Kaggle sources.

skwdro

A Robust ML toolbox

fenbux

A Simple Statistical Distribution Library in JAX

woeboost

Weight of Evidence (WOE) Gradient Boosting

mrinversion

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

sthd

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

composite-silhouette

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

pyipm

A python port of the OpenCossan Interval Predictor Model toolbox

etec325library

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

mixupy

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

simplexers

Vector Projections onto Positive and Capped Simplices