Examples of machine learning and signal processing algorithms.

Gaussian Mixture Model for Clustering

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

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

Gaussian mixture model for clustering

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

A Python implementation of Gaussian Mixture Model (GMM)

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

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

🧩 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.

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

MNIST Classification using GMM and VGG