gmm-em

Examples of machine learning and signal processing algorithms.

Gaussian Mixture Model for Clustering

Unsupervised Music Speech Classification using Gaussian Mixture Models (EM algorithm)

Gaussian mixture model for clustering

A Python implementation of Gaussian Mixture Model (GMM)

Repository pertaining to traditional statistical methods being applied to foreground segmentation for an image of a Cheetah

This repo consists of classification tasks using the Bayes classifier, GMMs, and nearest neighbor classifier.

Collection of classical density estimators e.g. mixture models, kernel density estimator etc.

Built core machine learning and statistical models from scratch in Python to deepen understanding of their underlying mathematics, without using high-level ML libraries. Tech: Python (numpy, pandas, seaborn, matplotlib, scipy, skmisc)

Georgia Tech ISYE 6740 Computational Data Analysis (ML1) coursework covering K-Means, PCA, GMM/EM, Naive Bayes, KNN, SVM, Regularization, Random Forest, LWLR, and One-Class SVM.

Implementation of Expectation-Maximization (EM) algorithm for Gaussian Mixture Model

🧩 The project explores computer vision techniques such as the Gaussian Mixture Models and U-Net deep learning model. In an effort to segment an image into foreground and background regions.

Forge Core：零依赖、可验证的世界级 AI 数值内核（autograd/SVD/Jacobi/k-means/GMM-EM/PCA/注意力）。集大成于世级算法，8/8 绿自检。作者：晨星

MNIST Classification using GMM and VGG

Underwater Buoy detection using Gaussian Mixture Models (GMM) and Expectation-Maximization (EM) Algorithm

9. Klasteri / tipovi k-means, k-medoids, hierarchical, DBSCAN, HDBSCAN, OPTICS, GMM/EM, mean-shift, affinity propagation, BIRCH, SOM

StarForge Core: 世界级 AI 内核（纯JS/零依赖/数学可验证·梯度检验~1e-9·PCA正交·GMM-EM）· 作者:晨星