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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
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
Collection of EM algorithms for blind source separation of audio signals
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
A pytorch package for non-negative matrix factorization.
gpu pytorch nmf em-algorithm kl-divergence nonnegative-matrix-factorization 1d-convolution beta-divergence plca siplca
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
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
Multivariate and Multichannel Discrete Hidden Markov Models for Categorical Sequences
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
[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
machine learning
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
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
This repository is for sharing the scripts of EM algorithm and variational bayes.
Markov-Switching State-Space Models
Implementation of Unsupervised Naive Bayes with EM Algorithm
Zhou & Stephens (2014) GEMMA multivariate linear mixed model
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
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
A Unified RNA Sequencing Model (URSM) for joint analysis of single cell and bulk RNA-seq data.
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