GitHub topics: mixture-models

Repositories

Jedrzej-Wydra/survival_analysis_em

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

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USACE-RMC/RMC-BestFit

RMC-BestFit is a state-of-the-art Bayesian estimation and fitting software developed collaboratively by the USACE-RMC and ERDC-CHL.

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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

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dmetivie/ExpectationMaximization.jl

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

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garberadamc/project-site

Projects & teaching materials.

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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.

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GrainLearning/grainLearning

A Bayesian uncertainty quantification toolbox for discrete and continuum numerical models of granular materials, developed by various projects of the University of Twente (NL), the Netherlands eScience Center (NL), University of Newcastle (AU), and Hiroshima University (JP).

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noaa-nwfsc/zoid

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

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bastienchassagnol/bastienchassagnol

Personal portfolio enumerating my main omic analyses projects

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cran-task-views/Cluster

CRAN Task View: Cluster Analysis & Finite Mixture Models

Size: 141 KB - Last synced at: about 2 months ago - Pushed at: 5 months ago - Stars: 3 - Forks: 3

pdwaggoner/plotmm

Tidy Tools for Visualizing Mixture Models

Language: R - Size: 1.86 MB - Last synced at: 18 days ago - Pushed at: 5 months ago - Stars: 24 - Forks: 3

KangaroosInAntarcitica/mixes

A mixture models package including GMM, Skew GMM, GMN and DGMM

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dsy109/mixtools

Tools for Analyzing Finite Mixture Models

Language: R - Size: 499 KB - Last synced at: 24 days ago - Pushed at: 12 months ago - Stars: 20 - Forks: 4

DolbyUUU/Deep-Clustering-Economic-Preferences

A comprehensive study and implementation of clustering algorithms for economic preference analysis using generative and deep learning models, including Gaussian Mixture Models (GMM), Wishart Mixture Models (WMM), and Variational Deep Embedding (VaDE).

Language: Python - Size: 1.11 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

immerse-ucsb/immerse-ucsb.github.io

GH pages repository to host all tutorial scripts as websites for sharing (PDF/HTML formats).

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omar-hajjaji/Estimating-the-parameters-of-mixture-models-using-the-EM-algorithm-on-R

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krichelj/ML_BGU_2020

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

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burkh4rt/Multimodal-Trajectory-Modeling

Code supplement for "Unsupervised multimodal modeling of cognitive and brain health trajectories for early dementia prediction"

Language: Python - Size: 153 KB - Last synced at: 2 months ago - Pushed at: about 1 year ago - Stars: 3 - Forks: 1

oezgesahin/vineclust

Model-based clustering with vine copulas

Language: R - Size: 106 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 8 - Forks: 2

compmem/spamr

Mixture regression models for NumPyro.

Language: Python - Size: 121 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

anjalisilva/mixGaussian

R Package With Shiny App to Perform and Visualize Clustering of Data via Mixtures of Multivariate Gaussian Model

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nextBillyonair/DPM

Differentiable Probabilistic Models

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MikeS96/bayes_statististics

Bayesian Statistics MOOC by Coursera - Solutions in Python

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PatrickTourniaire/Negative-Gaussian-Mixture-Model

Undergraduate honours project exploring learning Gaussian Mixture Models with negative components.

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felipelmc/Machine-Learning

Repository where I keep all the assignments and the project developed in the scope of the Machine Learning discipline, lectured by Professor Diego Mesquita (FGV EMAp).

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fchamroukhi/mixHMMR_m

Clustering and segmentation of heterogeneous functional data (sequential data) with regime changes by mixture of Hidden Markov Model Regressions (MixFHMMR) and the EM algorithm

Language: MATLAB - Size: 149 KB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 3 - Forks: 2

negar7918/oMHMM

Language: Python - Size: 292 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 1

anjalisilva/mixMVPLN

R Package to Perform Clustering of Three-way Count Data Using Mixtures of Matrix Variate Poisson-log Normal Model With Parameter Estimation via MCMC-EM, Variational Gaussian Approximations, or a Hybrid Approach Combining Both.

Language: R - Size: 2.1 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 7 - Forks: 0

hanshengjiang/npmle_git

A Python package for computing NPMLE of mixture of regression

Language: Python - Size: 166 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

anjalisilva/mixMPLNFA

R Package That Can Simultaneously Perform Factor Analysis And Cluster Analysis Of Count Data Via Parsimonious Finite Mixtures of Multivariate Poisson-Log Normal Factor Analyzers. This Model Permits For Parsimonious Covariance Structures And Dimension Reduction, Thus Reducing The Number Of Free Parameters To Be Calculated.

Language: R - Size: 204 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 1

Related Keywords

mixture-models 42 clustering 11 em-algorithm 6 data-science 6 bayesian-inference 5 expectation-maximization 5 r 4 hidden-markov-models 4 machine-learning 4 unsupervised-learning 4 latent-class-analysis 3 cran 3 statistics 3 artificial-intelligence 3 deep-learning 3 mixture-of-experts 3 curve-clustering 3 visualization 3 functional-data-clustering 3 python 3 statistical-learning 3 functional-data-analysis 2 bayesian-gmm 2 clustering-algorithm 2 baum-welch-algorithm 2 latent-variables 2 structural-equation-modeling 2 deep-neural-networks 2 mixture-model 2 gradient-descent 2 neural-networks 2 regularization 2 model-selection 2 time-series-segmentation 2 linear-regression 2 time-series-clustering 2 markov-chain-monte-carlo 2 mcmc 2 gmm 2 dimensionality-reduction 2 gaussian-processes 2 statistical-data-science 2 regression 2 generative-models 2 time-series-analysis 2 uncertainty-quantification 2 cluster-analysis 2 mplusautomation 2 cluster 2 r-package 2 stan 2 gaussian-mixture-models 2 bayesian-statistics 2 hierarchical-models 1 gibbs-sampling 1 dirichlet-process-mixtures 1 multivariate-analysis 1 latent-factors 1 factor-analyzer 1 discrete-data 1 covariance-matrix 1 inference 1 infinite-mixtures 1 infinite-regression-mixtures 1 probabilistic-modeling 1 stochastic-variational-inference 1 variational-bayes 1 variational-inference 1 vi 1 supervised-learning-algorithms 1 flood-frequency-analysis 1 expectation-maximization-algorithm 1 hidden-markov-model 1 distribution-fitting 1 orthogonal 1 penalty 1 count-data 1 data-simulation 1 matrix-variate-distributions 1 mcmc-em 1 model-based-clustering 1 modelselection 1 variational-gaussian 1 maximum-likelihood-estimation 1 nonparametric-statistics 1 reproducible-research 1 counts 1 bayesian-networks 1 d-separability 1 principal-component-analysis 1 complex-networks 1 density-estimation 1 markov-transition-fields 1 time-series 1 homework-assignments 1 survival-analysis 1 dynamic-programming 1 hidden-process-regression 1 piecewise-regression 1 statistical-analysis 1