Mixture Model Python Packages

gibbus

Flexible analytic log-concave distributions fitted by maximum likelihood, with support-aware modeling and optional mixtures for multimodal data.

spflow

Sum Product Flow: An Easy and Extensible Library for Sum-Product Networks

switch-transformers

Implementation of Switch Transformers from the paper: "Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity"

studenttmixture

Python (pip) package for fitting mixtures of Student's t-distributions using either maximum likelihood (EM) or Bayesian methodology (variational mean-field)

gpmix

A library for efficient uncovering of latent cluster labels in functional data from Gaussian process mixtures.

uncertaintyplayground

A Fast and Simplified Python Library for Uncertainty Estimation

idcempy

Inflated Discrete Choice Models

cplx-mfa

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

dynmix

Dynamic Clustering of Time-Series. Available on PyPi.

mics

A friendly Python library for multistate analysis with MICS and MBAR