Projects in Awesome Lists tagged with em-algorithm

https://github.com/moj-analytical-services/splink

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

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

Last synced: 13 May 2025

https://github.com/yoyolicoris/pytorch-nmf

A pytorch package for non-negative matrix factorization.

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

Last synced: 12 Jul 2025

https://github.com/yoyolicoris/pytorch-NMF

A pytorch package for non-negative matrix factorization.

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

Last synced: 04 Apr 2025

https://github.com/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, FISTA, ADMM, Gaussian Mixture Model, OPTICS, DBSCAN, Random Forest, Decision Tree, Support Vector Machine, Independent Component Analysis, Latent Semantic Indexing, Principal Component Analysis, Singular Value Decomposition, K Nearest Neighbors, K Means, Naïve Bayes Mixture Model, Gaussian Discriminant Analysis, Newton Method, Coordinate Descent, Gradient Descent, Elastic Net Regression, Ridge Regression, Lasso Regression, Least Squares, Logistic Regression, Linear Regression

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

Last synced: 09 Apr 2025

https://github.com/nickpoison/tsa4

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

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

Last synced: 30 Oct 2025

https://github.com/nickpoison/astsa

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

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

Last synced: 21 Oct 2025

https://github.com/helske/seqhmm

Multivariate and Multichannel Discrete Hidden Markov Models for Categorical Sequences

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

Last synced: 12 Apr 2025

https://github.com/viodotcom/ppca_rs

Python+Rust implementation of the Probabilistic Principal Component Analysis model

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

Last synced: 11 Apr 2025

https://github.com/conradsnicta/armadillo-gmm

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

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

Last synced: 13 May 2025

https://github.com/fchamroukhi/samurais

StAtistical Models for the UnsupeRvised segmentAion of tIme-Series

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

Last synced: 22 Oct 2025

https://github.com/chenhaotian/bayesian-bricks

Basic building blocks in Bayesian statistics.

bayesian-inference bayesian-network bayesian-statistics em-algorithm graphical-models hierarchical-mixture-models hierarchical-models hierarchical-topic-models mcmc-methods rpackage statistical-models

Last synced: 22 Oct 2025

https://github.com/mandarancio/statistical-machine-translation

Practice works for Statistical Machine Translation course at UNIGE.ch

automatic-translation em-algorithm python3 statistical-machine-translation translation unige

Last synced: 22 Mar 2025

https://github.com/asifhaider/machine-learning-4-2

Machine Learning Course Assignments from Scratch (Exploratory Data Analysis, Logistic Regression, Adaboost, Feed Forward Neural Network, EM Algorithm, Gaussian Mixture Models, Singular Value Decomposition, Image Reconstruction, Principal Component Analysis)

adaboost eda em-algorithm gaussian-mixture-models logistic-regression neural-network pca-analysis preprocessing singular-value-decomposition

Last synced: 27 Mar 2025

https://github.com/anishacharya/expectation-maximization

Package in Matlab for generating Synthatic Data using GMM and EM Clustering on that

em-algorithm expectation-maximization expectation-maximization-algorithm matlab

Last synced: 10 Jan 2026

https://github.com/andrewwango/femda

FEMDA: Robust classification with Flexible Discriminant Analysis in heterogeneous data. Flexible EM-Inspired Discriminant Analysis is a robust supervised classification algorithm that performs well in noisy and contaminated datasets.

20newsgroup classification discriminant-analysis em-algorithm fashion-mnist linear-discriminant-analysis machine-learning quadratic-discriminant-analysis robust-estimation robust-statistics