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Projects in Awesome Lists tagged with expectation-maximization-algorithm

A curated list of projects in awesome lists tagged with expectation-maximization-algorithm .

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/saniikakulkarni/gaussian-mixture-model-from-scratch

Implementing Gaussian Mixture Model from scratch using python class and Expectation Maximization algorithm. It is a clustering algorithm having certain advantages over kmeans algorithm.

clustering expectation-maximization-algorithm gaussian-mixture-models machine-learning python soft-clustering

Last synced: 27 Oct 2025

https://github.com/mrvplusone/steady

Simultaneous State Estimation and Dynamics Learning from Indirect Observations.

expectation-maximization-algorithm machine-learning particle-filters probabilistic-inference stochastic-dynamics

Last synced: 03 Apr 2025

https://github.com/kapshaul/ct-medical-imaging

The Expectation Maximization (EM) algorithm is used to reduce Poisson noise in CT images. The repository provides derivations and evaluations with the Cramer-Rao Lower Bound (CRLB).

expectation expectation-maximization expectation-maximization-algorithm iterative-algorithm matlab non-parametric-estimation non-parametric-statistics poisson-distribution signalprocessing statistical-estimations statistics

Last synced: 30 Mar 2025

https://github.com/vikascd/netflix-recommender-system

Sistema de recomendación de títulos de Netflix basado en contenido. Incluye filtros por título, género y tipo de contenido (películas o series) con interfaz interactiva en Jupyter Notebook.

dbscan expectation-maximization-algorithm factor-analysis google-colab heroku jupyter-notebook linear-discriminant-analysis matrix-decompositions multinomial-naive-bayes naive-bayes netflix-recommendation-system paper-implementations pearson-correlation support-vector-machine

Last synced: 14 Jul 2025