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BayesWitnesses
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

17K 3K 261
Techtonique
nnetsauce

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

4K 20 4
Techtonique
mlsauce

Miscellaneous Statistical/Machine Learning tools

2K 10 2
Techtonique
bcn

Boosted Configuration (neural) Networks

2K 1 0
akomarla
expsmoothing

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

1K 1 0
artemmavrin
stattools

Statistical learning and inference algorithms implemented in Python 3

1K 2 2
simon-hirsch
ondil

A package for online distributional learning.

625 33 7
simon-hirsch
rolch

A package for online distributional learning.

611 34 7
lightbluetitan
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.

287 10 4
iutzeler
skwdro

A Robust ML toolbox

246 21 1
JiaYaobo
fenbux

A Simple Statistical Distribution Library in JAX

219 16 0
yi-zhang
sthd

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

185 37 8
DeepanshS
mrinversion

Python based statistical learning of NMR tensor and relaxation parameters distribution.

184 8 2
xRiskLab
woeboost

Weight of Evidence (WOE) Gradient Boosting

171 9 0
semoglou
composite-silhouette

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

156 1 1
JCSadeghi
pyipm

A python port of the OpenCossan Interval Predictor Model toolbox

127 5 2
User10166
etec325library

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

125 0 0
makeyourownmaker
mixupy

Data augmentation with the mixup method

108 3 0
mscaudill
simplexers

Vector Projections onto Positive and Capped Simplices

66 0 0
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