https://github.com/labo-lacourse/stepmix

A Python package following the scikit-learn API for model-based clustering and generalized mixture modeling (latent class/profile analysis) of continuous and categorical data. StepMix handles missing values through Full Information Maximum Likelihood (FIML) and provides multiple stepwise Expectation-Maximization (EM) estimation methods.

classification clustering expectation-maximization latent-class-analysis lca machine-learning mixture-models supervised-learning

Last synced: 19 Feb 2026

https://github.com/niekdt/latrend

An R package for clustering longitudinal datasets in a standardized way, providing interfaces to various R packages for longitudinal clustering, and facilitating the rapid implementation and evaluation of new methods

cluster-analysis clustering-evaluation clustering-methods data-science longitudinal-clustering longitudinal-data mixture-models r r-package time-series-analysis

Last synced: 13 Feb 2026

https://github.com/dmetivie/expectationmaximization.jl

A simple but generic implementation of Expectation Maximization algorithms to fit mixture models.

clustering expectation-maximization gaussian-mixture-models julia mixture-models

Last synced: 07 May 2025

https://github.com/philips-software/latrend

An R package for clustering longitudinal datasets in a standardized way, providing interfaces to various R packages for longitudinal clustering, and facilitating the rapid implementation and evaluation of new methods

cluster-analysis clustering-evaluation clustering-methods data-science longitudinal-clustering longitudinal-data mixture-models r r-package time-series-analysis

Last synced: 13 Apr 2025

https://github.com/pdwaggoner/plotmm

Tidy Tools for Visualizing Mixture Models

cut-point mixture-models r tidyverse visualization

Last synced: 25 Oct 2025

https://github.com/dsy109/mixtools

Tools for Analyzing Finite Mixture Models

cran mixture-models mixture-of-experts r semiparametric-regression

Last synced: 26 Oct 2025

https://github.com/noaa-nwfsc/zoid

Trinomial mixture models in Stan, for fitting to compositional data with 0s

cran mixture-models nwfsc-cb r-package stan

Last synced: 19 Feb 2026

https://github.com/clementetienam/ultra-fast-mixture-of-experts-regression

deep-neural-networks gaussian-processes mixture-models mixture-of-experts regression-algorithms supervised-learning-algorithms

Last synced: 15 Sep 2025

https://github.com/cran-task-views/cluster

CRAN Task View: Cluster Analysis & Finite Mixture Models

cluster cran mixture-models r rstats task-views

Last synced: 13 Apr 2025

https://github.com/christopher-altman/sqnt-hardware-demo

Adaptive quantum networks in practice: superposed graph topologies and operator-space spatialization, with reproducible hardware-relevant demos and figures.

adaptive-quantum-networks deterministic-experiments graph-neural-networks hardware-aware-ml identifiability inverse-problems mixture-models model-identifiability numpy operator-space pennylane qiskit quantum-compilation quantum-machine-learning quantum-neural-networks reproducible-research superposed-graph-topologies superpositional-topologies support-recovery topology-learning

Last synced: 22 Jan 2026

https://github.com/fchamroukhi/mixhmm_m

Clustering and segmentation of heteregeneous functional data (sequential data) by mixture of gaussian Hidden Markov Models (MixFHMMs) and the EM algorithm

artificial-intelligence baum-welch-algorithm clustering curve-clustering data-science em-algorithm functional-data-analysis functional-data-clustering generative-models hidden-markov-models mixture-models statistical-data-analysis statistical-data-science statistical-learning time-series-clustering time-series-segmentation unsupervised-learning

Last synced: 25 Jun 2026

https://github.com/jeremiegince/mixture_models_deep_rl

Mixture models in deep reinforcement learning with gym

atari deep-learning deep-neural-networks deep-reinforcement-learning gym-environment mixture-model mixture-models reinforcement-learning

Last synced: 20 Apr 2026

https://github.com/jedrzej-wydra/survival_analysis_em

A New Way to Calculate Thermal Summation Parameters for Forensically Useful Insects Using Mixture Models with Interval Estimation

bayesian-statistics em-algorithm mixture-models python survival-analysis

Last synced: 04 May 2026

https://github.com/krichelj/ml_bgu_2020

Machine Learning and Analysis of Big Data course, Computer Science M.Sc., Ben Gurion University of the Negev, 2020

bayesian-inference big-data clustering-algorithm computer-science convex-optimization gradient-descent k-means-clustering kernel-methods linear-programming machine-learning mixture-models nearest-neighbours-classifier neural-networks pac-learning principle-component-analysis probability-statistics quadratic-programming regularization support-vector-machines vc-dimension

Last synced: 13 Jun 2026