expectation-maximization-algorithm

There are 114 repositories under expectation-maximization-algorithm topic.

  • oMHMM

    Language:Python1

  • Expectation-Maximisation

    Language:R1

  • HiddenMarkovChain

    Language:Python1

  • em_for_gmm

    Language:Python1

  • Mixture_models_simulations

    Codes for simulation studies to examine the performance of the EM algorithm and its modifications Classification EM and Stochastic EM for Gaussian mixture and a mixture of Markov chains.

    Language:R2

  • DiffusionMLE

    Analyze experimental tracking data using a maximum likelihood estimator (MLE) to extract translational diffusion coefficients.

    Language:Julia2

  • humanDPE

    Identification of a functional downstream core promoter element in human promoters using an Expectation-Maximization algorithm

    Language:R2

  • fortran-gmm-EM

    extremely efficient implementation of the expectation maximization (EM) algorithm for Gaussian mixtures in fortran

    Language:Fortran2

  • MixtureLib

    The implementation of mixtures for different tasks.

    Language:Python2

  • Machine_Learning-AUEB

    This repository hosts the programming exercises for the course "Machine Learning" of AUEB Informatics.

    Language:Jupyter Notebook2

  • expectation-maximization-gmm

    Python code to fit Gaussian Mixture Models to data using expectation maximization

    Language:Python2

  • HMM-Speech-Recognition

    Training a hidden Markov model through expectation-maximization, using Baum-Welch formulae, for applications in speech recognition

    Language:MATLAB2

  • skeleton_refinement

    Plant skeleton optimization using stochastic framework on point cloud data.

    Language:Python1

  • EM-Algorithm_Missing-Data

    Performance of the EM algorithm and imputation methods with different missing data mechanisms (EPFL - Statistical Computation and Visualization)

    Language:Jupyter Notebook1

  • ml-from-scratch

    Machine Learning Algortihms from scratch.

    Language:Jupyter Notebook1

  • Image-Clustering

    Image Clustering Algorithm implemented in C++

    Language:C++1

  • Fuzzy-Clustering-using-EM

    Write a code to implement Fuzzy Clustering with EM (Expectation Maximization) algorithm for clustering

    Language:Python1

  • usc-dsci552-mlds-sp23

    USC DSCI 552 - Machine Learning for Data Science - Spring 2023 - Prof. Ke-Thia Yao

    1

  • expectation-maximization-for-gaussian-mixture-model-from-scratch

    Expectation-Maximization (EM) algorithm for Gaussian mixture model (GMM) from scratch

    Language:Python1

  • EMq

    Implementation of a bivariate NA-robust Expectation-Maximization algo.

    Language:q1

  • mva-PGM-assignments

    MVA - Probabilistic Graphical Models - Assignments

    Language:Jupyter Notebook1

  • EM-Guided-Policy-Search

    Sample efficient learning using expectation maximization

    Language:Python1

  • Hidden_Markov_Model

    HMM from scratch

    Language:Python1

  • machine_learning-gaussian_mixture_model_1

    implementation of Expectation maximization over a gaussian mixture model (2D)

    Language:Python1

  • statistical-recognition-methods

    Statistical Recognition Methods home tasks

    Language:Rust1

  • Face_Classification

    A comparative study between 5 different binary classification techniques.

    Language:Python1

  • compbio

    Machine learning algorithms for Computational Biology

    Language:C#1

  • ml

    Machine Learning, Neural Nets, Deep Learning basics

    Language:Jupyter Notebook1

  • Expectation-Maximization

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

    Language:MATLAB1

  • EM

    Expectation Maximisation for a Gaussian Mixture Model Implemetation of the expectation maximisation algorithm for Gaussian Mixture Models in C++

    Language:C++

  • em-clustering-sc-transcriptomics

    Expectation-Maximization-based clustering algorithm to identify groups defined by biological variates as clusters in single-cell transcriptomic data.

    Language:Jupyter Notebook

  • Data-Clustering-using-K-Means-EM-algorithms

    This repository implements K-Means clustering on the Old-Faithful dataset, with visualization of clustering iterations and distortion. It also applies K-Means for image compression/segmentation and utilizes the EM algorithm with a Gaussian Mixture Model for classification.

    Language:Jupyter Notebook

  • tictactoe-adversarial-opponent

    An adversarial agent for playing Tic Tac Toe, offering users the option to choose board size and difficulty level. Utilizes various search algorithms including, but not limited to; Alpha-Beta Pruning, Expectimax, and Minimax. The project provides an interactive interface where users can play against the adversarial agent.

    Language:Python

  • Computational-Statistics

    Modern computational statistics

  • Advanced-Video-Processing

    Coding solutions to various image processing problems integrating statistical algorithm known as Expectation-Maximization (EM), and clustering algorithm known as Gaussian Mixture Model (GMM).

    Language:Python

  • Tractable-Probabilistic-Models

    Implementation of Tractable Probabilistic Model Tree Bayesian Networks using Chow Liu Tree and Mixture of Trees using EM (Expectation-Maximization) algorithm and Mixture of Trees using Random Forest Technique in python

    Language:Python