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em-algorithm

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moj-analytical-services /splink

Fast, accurate and scalable probabilistic data linkage with support for multiple SQL backends

data-science spark record-linkage entity-resolution fuzzy-matching deduplication em-algorithm data-matching deduplicate-data duckdb uk-gov-data-science

UpdatedNov 6, 2025
Python

jayshah19949596 /Machine-Learning-Models

Decision Trees, Random Forest, Dynamic Time Warping, Naive Bayes, KNN, Linear Regression, Logistic Regression, Mixture Of Gaussian, Neural Network, PCA, SVD, Gaussian Naive Bayes, Fitting Data to Gaussian, K-Means

neural-network random-forest linear-regression machine-learning-algorithms naive-bayes-classifier supervised-learning gaussian-mixture-models logistic-regression kmeans decision-trees knn principal-component-analysis dynamic-time-warping kmeans-clustering em-algorithm kmeans-algorithm singular-value-decomposition knn-classification gaussian-classifier value-iteration-algorithm

UpdatedMay 15, 2017
MATLAB

fgnt /pb_bss

Collection of EM algorithms for blind source separation of audio signals

multi-channel speech-processing bss em-algorithm source-separation beamforming speech-enhancement

UpdatedMay 19, 2025
Python

machine-learning

je-suis-tm /machine-learning

Python machine learning applications in image processing, recommender system, matrix completion, netflix problem and algorithm implementations including Co-clustering, Funk SVD, SVD++, Non-negative Matrix Factorization, Koren Neighborhood Model, Koren Integrated Model, Dawid-Skene, Platt-Burges, Expectation Maximization, Factor Analysis, ISTA, F…

naive-bayes expectation-maximization support-vector-machine ridge-regression expectation-maximization-algorithm factor-analysis dbscan em-algorithm linear-discriminant-analysis stochastic-gradient-descent latent-semantic-analysis lasso-regression multinomial-naive-bayes singular-value-decomposition batch-gradient-descent sequential-minimal-optimization newton-method low-rank-approximation independent-component-analysis k-nearest-neighbors

UpdatedDec 16, 2022
Jupyter Notebook

yoyolicoris /pytorch-NMF

A pytorch package for non-negative matrix factorization.

gpu pytorch nmf em-algorithm kl-divergence nonnegative-matrix-factorization 1d-convolution beta-divergence plca siplca

UpdatedJul 25, 2024
Python

nickpoison /tsa4

R code for Time Series Analysis and Its Applications, Ed 4

data-science r data-analysis missing-data time-domain frequency-domain kalman-filter em-algorithm time-series-analysis state-space-models astsa

UpdatedAug 20, 2025

nickpoison /astsa

R package to accompany Time Series Analysis and Its Applications: With R Examples -and- Time Series: A Data Analysis Approach Using R

package data-science r data-analysis missing-data kalman-filter em-algorithm dna-sequences time-series-analysis state-space-models astsa

UpdatedNov 5, 2025
R

helske /seqHMM

Multivariate and Multichannel Discrete Hidden Markov Models for Categorical Sequences

hmm r time-series em-algorithm hidden-markov-models categorical-data mixture-markov-models

UpdatedSep 26, 2025
R

JensUweUlrich /Taxor

Fast and space-efficient taxonomic classification of long reads

bioinformatics taxonomy metagenomics long-read microbiome kmer em-algorithm taxonomic-classification refseq bioinf long-read-sequencing xor-filter taxonomic-profiling syncmer pseudo-alignment interleaved-xor-filter

UpdatedAug 25, 2025
C++

moucheng2017 /EM-BPL-Semi-Seg

[MICCAI 2022 Best Paper Finalist] Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi Supervised Segmentation

computer-vision semi-supervised-learning expectation-maximization segmentation bayesian medical-image-computing variational-inference computervision vessel-segmentation em-algorithm miccai robustness lung brats adversarial-attacks out-of-distribution miccai2022 miccai-2022

UpdatedMay 16, 2025
Python

vsmolyakov /ml

machine learning

data-science machine-learning hmm monte-carlo topic-modeling mcmc language-model em-algorithm gibbs

UpdatedJul 31, 2018
MATLAB

viodotcom /ppca_rs

Python+Rust implementation of the Probabilistic Principal Component Analysis model

python rust data-science machine-learning linear-algebra machine-learning-algorithms pca-analysis pca dimensionality-reduction missing-data maximum-likelihood em-algorithm maximum-likelihood-estimation missing-values

UpdatedAug 27, 2024
Rust

SSQ /Coursera-UW-Machine-Learning-Clustering-Retrieval

kd-tree locality-sensitive-hashing tf-idf mapreduce k-means approximate-nearest-neighbor-search mixture-model latent-dirichlet-allocation word-count gibbs-sampling em-algorithm hidden-markov-models hierarchical-clustering agglomerative-clustering k-nearest-neighbors dendrogram k-means-plus-plus divisive-clustering

UpdatedJan 31, 2019
Python

beginaid /GMM-EM-VB

This repository is for sharing the scripts of EM algorithm and variational bayes.

gmm variational-inference em-algorithm variational-bayes gmm-clustering

UpdatedDec 9, 2023
Python

ddegras /switch-ssm

Markov-Switching State-Space Models

maximum-likelihood kalman-filter em-algorithm state-space-model kalman-smoother switching-model

UpdatedJun 8, 2023
MATLAB

betterenvi /EMNaiveBayes

Implementation of Unsupervised Naive Bayes with EM Algorithm

naive-bayes em-algorithm

UpdatedDec 10, 2018
Python

fboehm /gemma2

Zhou & Stephens (2014) GEMMA multivariate linear mixed model

genetics em-algorithm mixed-models

UpdatedOct 24, 2020
R

conradsnicta /armadillo-gmm

gmm_diag and gmm_full: C++ classes for multi-threaded Gaussian mixture models and Expectation-Maximisation

machine-learning statistics cpp clustering openmp expectation-maximization gaussian-mixture-models armadillo mapreduce k-means gmm clustering-algorithm em-algorithm k-means-clustering

UpdatedJul 4, 2022
C++

fchamroukhi /SaMUraiS

StAtistical Models for the UnsupeRvised segmentAion of tIme-Series

data-science statistical-learning artificial-intelligence statistical-inference model-selection dynamic-programming human-activity-recognition latent-variable-models em-algorithm newton-raphson hidden-markov-models time-series-analysis time-series-clustering multivariate-timeseries change-point-detection piecewise-regression hidden-process-regression

UpdatedJan 22, 2020
R

lingxuez /URSM

A Unified RNA Sequencing Model (URSM) for joint analysis of single cell and bulk RNA-seq data.

python rna-seq single-cell gibbs-sampling hierarchical-models em-algorithm

UpdatedOct 20, 2017
Python

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