Search Packages

gmr

Gaussian Mixture Regression

probreg

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

pycave

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

mrbles

MRBLEs decoding and analysis package

numpy-ml

Machine learning, in numpy

emsigma

spectral interpretation using gaussian mixtures and autoencoder

askcarl

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

tgmm

tgmm: A Gaussian Mixture Model based on Expectation-Maximisation implemented with PyTorch

mclustpy

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

robustgmm

MS Yang, A robust EM clustering algorithm for Gaussian mixture models, Pattern Recognit., 45 (2012), pp. 3950-3961

megamix

EM algorithms for unsupervised learning

splintershell

A package for blending shellcodes into network traffic using unsupervised learning

autogmm

Python package for automatic Gaussian mixture modeling

skeleton-refinement

Skeletonization of Plant Point Cloud Data Using Stochastic Optimization Framework.

fishervector

Improved Fisher Vector Implementation- extracts Fisher Vector features from your data