Gaussian Mixture Models Python Packages

gmr

Gaussian Mixture Regression

pycave

Traditional Machine Learning Models for Large-Scale Datasets in PyTorch.

numpy-ml

Machine learning, in numpy

probreg

Python package for point cloud registration using probabilistic model (Coherent Point Drift, GMMReg, SVR, GMMTree, FilterReg, Bayesian CPD)

mrbles

Decoding and analysis software for MRBLEs (Microspheres with Ratiometric Barcode Lanthanide Encoding).

cplx-gmm

PyPI package for complex-valued Gaussian mixture models with a scikit-learn-style API.

cplx-mfa

PyPI package for complex-valued mixture of factor analyzers with a scikit-learn-style API.

mfa-estimator

PyPI package for MFA-based estimation in complex-valued linear inverse problems.

askcarl

Gaussian mixture models with support for missing values and upper limits in some features.

emsigma

Python code for phase identification and spectrum analysis of energy dispersive x-ray spectroscopy (EDS)

qce

PyPI package for quantized channel estimation with Bussgang-based estimators and complex-valued generative priors.

tgmm

A Gaussian Mixture Model (GMM) based on Expectation-Maximisation (EM) implemented in PyTorch

mclustpy

Python wrapper for R's Mclust algorithm: Gaussian model-based clustering with automatic model selection via BIC

robustgmm

A robust EM clustering algorithm for Gaussian mixture models

autogmm

Python package for automatic Gaussian mixture modeling

megamix

MeGaMix (Methods for Gaussian Mixture Models) is a python package for machine learning

fishervector

Fisher Vectors based on Gaussian Mixture Model

splintershell

A package for blending shellcodes into network traffic using unsupervised learning

skeleton-refinement

Plant skeleton optimization using stochastic framework on point cloud data.