em-algorithm

There are 143 repositories under em-algorithm topic.

  • moj-analytical-services/splink

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

    Language:Python1.8k16771196

  • 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

    Language:MATLAB36481140

  • fgnt/pb_bss

    Collection of EM algorithms for blind source separation of audio signals

    Language:Python297101262
  • 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, 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

    Language:Jupyter Notebook2586257

  • yoyolicoris/pytorch-NMF

    A pytorch package for non-negative matrix factorization.

    Language:Python24361623

  • nickpoison/tsa4

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

    1627264

  • nickpoison/astsa

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

    Language:R13511546

  • helske/seqHMM

    Multivariate and Multichannel Discrete Hidden Markov Models for Categorical Sequences

    Language:R10086730

  • JensUweUlrich/Taxor

    Fast and space-efficient taxonomic classification of long reads

    Language:C++432202

  • moucheng2017/EM-BPL-Semi-Seg

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

    Language:Python40141

  • vsmolyakov/ml

    machine learning

    Language:MATLAB395012

  • viodotcom/ppca_rs

    Python+Rust implementation of the Probabilistic Principal Component Analysis model

    Language:Rust36422

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

    Language:Python301129

  • beginaid/GMM-EM-VB

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

    Language:Python20102

  • ddegras/switch-ssm

    Markov-Switching State-Space Models

    Language:MATLAB15218

  • betterenvi/EMNaiveBayes

    Implementation of Unsupervised Naive Bayes with EM Algorithm

    Language:Python14113

  • fboehm/gemma2

    Zhou & Stephens (2014) GEMMA multivariate linear mixed model

    Language:R12112

  • conradsnicta/armadillo-gmm

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

    Language:C++11104

  • fchamroukhi/SaMUraiS

    StAtistical Models for the UnsupeRvised segmentAion of tIme-Series

    Language:R11201

  • lingxuez/URSM

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

    Language:Python11514

  • vincent27hugh/Cluster-Kmeans-EMGMM-PCA

    Wine Types Clustering using K-Means, EM-GMM and PCA

    Language:Jupyter Notebook10104

  • poypoyan/edhsmm

    An(other) implementation of Explicit Duration Hidden Semi-Markov Models in Python 3

    Language:Jupyter Notebook92143

  • anindox8/Multi-Color-Space-Features-for-Dermatoscopy-Classification

    Fully supervised binary classification of skin lesions from dermatoscopic images using multi-color space moments/texture features and Support Vector Machines/Random Forests.

    Language:Jupyter Notebook8212

  • ChenTaHung/GMM-Visualization

    An interactive toolkit for visualizing GMM convergence in 3D/2D, featuring PCA for dimensionality reduction, K-means++ initialization, and covariance regularization for stability.

    Language:Python8100

  • hhle88/HMM

    Language:MATLAB8000

  • PySATL/pysatl-mpest

    PySATL module providing tools for working with mixtures of distributions. In particular, it allows you to evaluate their parameters.

    Language:Python87

  • Chaoukia/Probabilistic-Graphical-Models

    Probabilistic graphical models home works (MVA - ENS Cachan)

    Language:Jupyter Notebook7100

  • chenhaotian/Bayesian-Bricks

    Basic building blocks in Bayesian statistics.

    Language:R7102

  • cuteboydot/EM-for-GMM

    Implementation of EM using K-Means(Gaussian Mixture Model)

    Language:C++7001

  • hkiang01/Applied-Machine-Learning

    Applied Machine Learning

    Language:Python7304

  • jgbrasier/KFEstimate.jl

    Julia package for KF and EKF parameter estimation using Automatic Differentiation

    Language:Julia7101

  • warm2018/Traffic-State-Estimation

    EM algorithm to estimate the traffic volume using connected vehicle trajectory, which was proposed by Zheng and Liu.

    Language:Jupyter Notebook7111

  • fchamroukhi/FLaMingos

    Functional Latent datA Models for clusterING heterogeneOus curveS

    Language:R6301

  • jundsp/vblds

    Variational Inference of Bayesian Linear Dynamical Systems. EM algorithm to infer and learn the dynamics of time-series data.

    Language:MATLAB6300

  • damaf/PHMC-LAR

    Partially Hidden Markov Chain Linear AutoRegressive model

    Language:Python5200

  • keya-desai/Natural-Language-Processing

    Python implementation of N-gram Models, Log linear and Neural Linear Models, Back-propagation and Self-Attention, HMM, PCFG, CRF, EM, VAE

    Language:Python5201