GitHub topics: gaussian-mixture-models

Repositories

AshrithSagar/MultiRefLfD-TPGP

Learning Multi-Reference Frame Skills from Demonstration with Task-Parameterized Gaussian Processes (TPGP)

Language: Jupyter Notebook - Size: 1.98 MB - Last synced at: about 14 hours ago - Pushed at: about 15 hours ago - Stars: 2 - Forks: 0

notsonnatureall/Clustery-Auto-Cluster-APP

An interactive customer segmentation project using unsupervised learning algorithms: GMM, SOM, and K-Means with PSO. Includes preprocessing, clustering, evaluation, and a live Streamlit app for auto-clustering with visualization and performance metrics.

Language: Python - Size: 13.7 KB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

Zoubyr/traditional-machine-learning

Geleneksel Makine Öğrenmesi Yöntemleri ile Çalışmalarım

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DylanJohnston/mml-solutions-and-code

Mathematics for Machine Learning Solutions. My personal handwritten solutions to the exercises from Part I. The repository will also likely (at some point) contain supplementary code for Part II.

Language: Jupyter Notebook - Size: 33.7 MB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 0 - Forks: 0

neka-nat/probreg

Python package for point cloud registration using probabilistic model (Coherent Point Drift, GMMReg, SVR, GMMTree, FilterReg, Bayesian CPD)

Language: Python - Size: 52.1 MB - Last synced at: 8 days ago - Pushed at: about 1 year ago - Stars: 912 - Forks: 150

applied-geodesy/bundle-adjustment

Bundle Adjustment for Close-Range Photogrammetry

Language: HTML - Size: 2.82 MB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 8 - Forks: 5

JohannesBuchner/askcarl

Gaussian Mixture Model likelihood with support for heterogeneous missing and censored (upper limit) data.

Language: Python - Size: 2.84 MB - Last synced at: 17 days ago - Pushed at: 18 days ago - Stars: 1 - Forks: 0

kylesayrs/GMMPytorch

Pytorch implementation of same-family gaussian mixture models with guardrails. Features separable parameter optimization and singularity mitigation

Language: Python - Size: 605 KB - Last synced at: 18 days ago - Pushed at: 18 days ago - Stars: 22 - Forks: 2

Dheeraj791/NeuroSense

NeuroSense - based on previous state-of-the-art (SOTA) studies, that utilizes a Gaussian mixture model for detecting and analyzing foreground movements, particularly focusing on involuntary twitch-like motions known as fasciculations. This tool aids in identifying these movements accurately, supporting research in neuromuscular conditions.

Language: HTML - Size: 117 MB - Last synced at: 19 days ago - Pushed at: 19 days ago - Stars: 1 - Forks: 0

AlexanderFabisch/gmr

Gaussian Mixture Regression

Language: Python - Size: 1.09 MB - Last synced at: 2 days ago - Pushed at: 6 months ago - Stars: 190 - Forks: 49

conradsnicta/armadillo-code

Armadillo: fast C++ library for linear algebra & scientific computing - https://arma.sourceforge.net

Size: 10.7 KB - Last synced at: 24 days ago - Pushed at: 12 months ago - Stars: 500 - Forks: 123

kylesayrs/GMMScratch

A from-scratch implementation of Gaussian Mixture Models

Language: Python - Size: 14.6 KB - Last synced at: 27 days ago - Pushed at: 27 days ago - Stars: 2 - Forks: 0

WilliamZhang20/Credit-Card-Fraud-Detection

Applied a wide variety of anomaly detection algorithms

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DavidMercier/TriDiMap

Matlab functions to plot 2D and 3D maps from nanoindentation tests.

Language: MATLAB - Size: 112 MB - Last synced at: 29 days ago - Pushed at: 29 days ago - Stars: 16 - Forks: 5

ddbourgin/numpy-ml

Machine learning, in numpy

Language: Python - Size: 10 MB - Last synced at: 30 days ago - Pushed at: over 1 year ago - Stars: 16,097 - Forks: 3,803

applied-geodesy/jag3d

Java·Applied·Geodesy·3D - Least-Squares Adjustment Software for Geodetic Sciences

Language: Java - Size: 30.4 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 63 - Forks: 17

ostad-ai/Machine-Learning

This repository contains topics and codes related to Machine Learning and Data Science, especially in Python

Language: Jupyter Notebook - Size: 2.17 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 3 - Forks: 0

jobovy/extreme-deconvolution

Density estimation using Gaussian mixtures in the presence of noisy, heterogeneous and incomplete data

Language: Python - Size: 718 KB - Last synced at: about 1 month ago - Pushed at: 7 months ago - Stars: 79 - Forks: 24

dimitris-markopoulos/latent-semantic-clustering

Clustering book chapters with unsupervised ML—custom EM-GMM, sklearn baselines, and dimensionality reduction.

Language: Jupyter Notebook - Size: 87.2 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 1

borchero/pycave

Traditional Machine Learning Models for Large-Scale Datasets in PyTorch.

Language: Python - Size: 683 KB - Last synced at: 15 days ago - Pushed at: 15 days ago - Stars: 126 - Forks: 13

dmetivie/ExpectationMaximization.jl

A simple but generic implementation of Expectation Maximization algorithms to fit mixture models.

Language: Julia - Size: 2.02 MB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 33 - Forks: 1

Mindkerchief/BaselineML

A collection of machine learning task performed during my studies in computer science major in intelligent system.

Language: Jupyter Notebook - Size: 17.6 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

yurnero14/GenderDetection

Gender Detection Classification problem solved using Classical Machine Learning Techniques

Language: Python - Size: 5.35 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

yurnero14/MachineLearningPR-Project-2021-22

Pulsar Detection classification problem solved using classic Machine Learning techniques

Language: Python - Size: 928 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

havva-nur-ezginci/ML-Applications

💡This project involves the implementation of machine learning (ML) algorithms 💻🔍on various datasets.

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poyentung/sigma

Python code for phase identification and spectrum analysis of energy dispersive x-ray spectroscopy (EDS)

Language: Jupyter Notebook - Size: 973 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 20 - Forks: 4

Tonathiu-Pina/Classify_galaxies_with_Unsupervised_and_Supervised_learning

Classification of galaxies with unsupervised and supervised learning

Language: Jupyter Notebook - Size: 77 MB - Last synced at: about 20 hours ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

jonasrothfuss/fishervector

Improved Fisher Vector Implementation- extracts Fisher Vector features from your data

Language: Python - Size: 18.6 KB - Last synced at: 12 days ago - Pushed at: about 1 year ago - Stars: 103 - Forks: 32

omerbsezer/Generative_Models_Tutorial_with_Demo 📦

Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc..

Language: Jupyter Notebook - Size: 12.9 MB - Last synced at: 3 months ago - Pushed at: over 6 years ago - Stars: 335 - Forks: 41

sushant1827/Creating-Customer-Segments

Machine Learning Nano-degree Project : To identify customer segments hidden in product spending data collected for customers of a wholesale distributor

Language: Jupyter Notebook - Size: 551 KB - Last synced at: 2 months ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 0

SuperKogito/Voice-based-speaker-identification

:sound: :boy: :girl: :woman: :man: Speaker identification using voice MFCCs and GMM

Language: Python - Size: 105 KB - Last synced at: 20 days ago - Pushed at: over 4 years ago - Stars: 54 - Forks: 15

romi/skeleton_refinement

Plant skeleton optimization using stochastic framework on point cloud data.

Language: Python - Size: 1.68 MB - Last synced at: 18 days ago - Pushed at: 3 months ago - Stars: 2 - Forks: 0

SinaMirrazavi/SESODS_lib

Learning second order dynamical system

Language: MATLAB - Size: 46.8 MB - Last synced at: 2 months ago - Pushed at: over 6 years ago - Stars: 11 - Forks: 1

SuperKogito/Voice-based-gender-recognition

:sound: :boy: :girl:Voice based gender recognition using Mel-frequency cepstrum coefficients (MFCC) and Gaussian mixture models (GMM)

Language: Python - Size: 8.96 MB - Last synced at: 2 months ago - Pushed at: almost 2 years ago - Stars: 213 - Forks: 68

dennisfrancis/ClusterRows

A LibreOffice Calc extension that clusters the rows in a table and colors them to indicate the clusters.

Language: C++ - Size: 2.3 MB - Last synced at: 18 days ago - Pushed at: 5 months ago - Stars: 11 - Forks: 1

pmadruga/ml_project

Machine Learning Techniques applied to Heart Rate Variability

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miltiadiss/CEID_NE562-Data-Mining-and-Machine-Learning-Algorithms 📦

This project involves analyzing a dataset through statistics and visualizations to uncover patterns & correlations. It trains classifiers (Neural Networks, Random Forests, Bayesian Networks) to predict physical activities and evaluates their performance. Finally, it clusters participants' activities using 3 algorithms, comparing their effectivenes.

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cgre-aachen/bayseg

An unsupervised machine learning algorithm for the segmentation of spatial data sets.

Language: Jupyter Notebook - Size: 65.4 MB - Last synced at: 2 months ago - Pushed at: about 4 years ago - Stars: 63 - Forks: 15

juyeon999/OEDPM

Implement of paper "Unsupervised Outlier Detection using Random Subspace and Subsampling Ensembles of Dirichlet Process Mixtures"

Language: Python - Size: 742 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 2 - Forks: 0

benediktfesl/Quantized_Channel_Estimation

Implementation of the Paper "Channel Estimation for Quantized Systems based on Conditionally Gaussian Latent Models".

Language: Python - Size: 66.4 KB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 9 - Forks: 3

dieterich-lab/ASyH

The Anonymous Synthesizer for Health Data

Language: Python - Size: 591 KB - Last synced at: 1 day ago - Pushed at: 19 days ago - Stars: 5 - Forks: 1

mattiabr1/variational-bayes

Algorithms for inference in Gaussian Mixture Models.

Language: Jupyter Notebook - Size: 17.3 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 2 - Forks: 0

Keefe-Murphy/MoEClust

Gaussian Parsimonious Clustering Models with Gating and Expert Network Covariates

Language: R - Size: 1.67 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 7 - Forks: 0

gsfeir/GBM-LCCM

Estimation of Gaussian Bernoulli Mixture - Latent Class Choice Models (GBM-LCCM) using the Expectation Maximization (EM) algorithm

Language: Jupyter Notebook - Size: 151 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 2 - Forks: 1

cqcn1991/Wind-Speed-Analysis

An elegant probability model for the joint distribution of wind speed and direction.

Language: HTML - Size: 825 MB - Last synced at: about 1 month ago - Pushed at: over 7 years ago - Stars: 334 - Forks: 110

junlulocky/PyBGMM

Bayesian inference for Gaussian mixture model with some novel algorithms

Language: Python - Size: 937 KB - Last synced at: about 2 months ago - Pushed at: about 7 years ago - Stars: 54 - Forks: 16

JongueBongers/GEDI_Outlier_Detector

Outlier detection for GEDI waveform lidar data

Language: Jupyter Notebook - Size: 4.08 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

HongJea-Park/robust_EM_for_gmm

MS Yang, A robust EM clustering algorithm for Gaussian mixture models, Pattern Recognit., 45 (2012), pp. 3950-3961

Language: Python - Size: 10.6 MB - Last synced at: about 1 month ago - Pushed at: almost 4 years ago - Stars: 22 - Forks: 4

marcocolangelo/ML-Fingerprint_spoofing_detection

This repository contains all the code developed with the aim of training a machine learning model useful for recognizing whether a fingerprint image is a spoofed or original one.

Language: Python - Size: 11.4 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 2 - Forks: 0

Aaronaferns/vit-unsupervised-anomaly-detection

VTIAD-Capsule combines Vision Transformers, Capsule Networks, and a Gaussian Mixture Density Network for anomaly detection and localization in industrial images. The model processes image patches, captures spatial dependencies, and refines localization for real-world applications using the BTAD dataset.

Language: Python - Size: 7.81 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

NoveliaYuki4982/ML-root_finder

Project that trains different ML models to find the best one at finding the root of a sentence given a free tree.

Language: Jupyter Notebook - Size: 1.46 MB - Last synced at: 3 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

AbbasPak/Clustering-Methods-Examples

This repository aims to provide an overview of various clustering methods, along with practical examples and implementations.

Language: Jupyter Notebook - Size: 1.59 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 5 - Forks: 1

bit-bots/particle_filter

A lightweight particle filter library for the ROS context.

Language: C++ - Size: 166 KB - Last synced at: 3 months ago - Pushed at: 5 months ago - Stars: 6 - Forks: 5

SagharShafaati/PD-Detection-Transformer-GMM

This repository contains the Python implementation for the article "Integrating Transformers and Gaussian Mixture Models for Parkinson's Detection." The code combines GMM, Transformers, and SHAP analysis for accurate and interpretable voice-based diagnosis.

Language: Jupyter Notebook - Size: 277 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

jonghough/jlearn

Machine Learning Library, written in J

Language: J - Size: 9.53 MB - Last synced at: 4 months ago - Pushed at: over 1 year ago - Stars: 58 - Forks: 13

Armin-Abdollahi/Machine-Learning

Language: Jupyter Notebook - Size: 1.7 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 4 - Forks: 0

didins97/simpeg-basarnas

Human resources system of the National Search and Rescue Agency (Basarnas) with Gaussian Mixture Modeling analysis

Language: JavaScript - Size: 13.8 MB - Last synced at: 2 months ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

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: Python - Size: 39 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 3 - Forks: 0

DolbyUUU/Deep-Clustering-Economic-Preferences

A comprehensive study and implementation of clustering algorithms for economic preference analysis using generative and deep learning models, including Gaussian Mixture Models (GMM), Wishart Mixture Models (WMM), and Variational Deep Embedding (VaDE).

Language: Python - Size: 1.11 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

benediktfesl/GMM_cplx

Python implementation of a complex-valued version of the expectation-maximization (EM) algorithm for fitting Gaussian Mixture Models (GMMs).

Language: Python - Size: 71.3 KB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 7 - Forks: 2

Kalyan1123/Credit-Card-Cluster

About PCA. Clustering Algorithms. Business Analytics.

Language: Jupyter Notebook - Size: 2.87 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

parham1998/Kernel-Density-Estimation

Implementation of Kernel-Density-Estimation (KDE) with Matlab

Language: MATLAB - Size: 668 KB - Last synced at: 2 months ago - Pushed at: over 3 years ago - Stars: 7 - Forks: 2

Winterwind/PCA_Project

A short two-part project that uses PCA (along with GMM in task 2); first with the fashion-NMIST dataset and then with fetch_lfw_people

Language: Jupyter Notebook - Size: 1.43 MB - Last synced at: 3 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

Ransaka/GMM-from-scratch

The only guide you need to learn everything about GMM

Language: Jupyter Notebook - Size: 2.48 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 99 - Forks: 15

jahnabiroy/Deep-Learning

This assignment was done as part of the COL333 Course Requirements. The assignment was divided into 2 parts : Classification and Representational Learning.

Language: Python - Size: 972 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

GanzhongTian/CensGMR

This project is an extension of the Gaussian Mixture Regression (GMR) model to handel censored multivariate responses.

Language: Jupyter Notebook - Size: 5.33 MB - Last synced at: 5 days ago - Pushed at: about 3 years ago - Stars: 2 - Forks: 1

is0383kk/SymbolEmergence-VAE-GMM

Symbol emergence using Variational Auto-Encoder and Gaussian Mixture Model (Inter-GMM-VAE)~VAEを活用した実画像からの記号創発~

Language: Python - Size: 525 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 4 - Forks: 3

ldeecke/gmm-torch

Gaussian mixture models in PyTorch.

Language: Python - Size: 568 KB - Last synced at: 7 months ago - Pushed at: almost 2 years ago - Stars: 519 - Forks: 86

rNuv/spoken-digit-classificaiton

Research Project - Using GMMs to classify spoken Arabic digits

Language: Python - Size: 1.2 MB - Last synced at: 3 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

TopoSeismologist/EQNeMix

EQNeMix is a mixed architecture that combines: ConvNetQuake (Perol et al., 2018) and EQTransformer (Mousavi et al., 2020), through a Gaussian Mixture Model to perform a Bayesian Inference. The outcome is a probabilistic location obtained with just a single seismic station.

Language: Jupyter Notebook - Size: 2.14 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0

bjam24/bank_customer_segmentation_methods

The main goal of this project is to use various Clustering Methods for Bank Customer Segmentation.

Language: Jupyter Notebook - Size: 12.6 MB - Last synced at: 14 days ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

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.

Language: Jupyter Notebook - Size: 415 KB - Last synced at: 2 months ago - Pushed at: about 4 years ago - Stars: 11 - Forks: 9

starkblaze01/Artificial-Intelligence-Codes

Collection of Artificial Intelligence Algorithms implemented on various problems

Language: Jupyter Notebook - Size: 5.88 MB - Last synced at: about 2 months ago - Pushed at: over 4 years ago - Stars: 41 - Forks: 9

chris-santiago/gmm

Gaussian Mixture Model with low rank approximation

Language: Python - Size: 12.7 KB - Last synced at: 8 days ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 0

andreacasalino/Gaussian-Mixture-Model

C++ library handling Gaussian Mixure Models

Language: C++ - Size: 1.76 MB - Last synced at: 2 months ago - Pushed at: almost 3 years ago - Stars: 26 - Forks: 1

kylesayrs/SketchGeneration

Probabilistic sequence generation of sketch drawings which builds on Google Brain's "A Neural Representation of Sketch Drawings"

Language: Python - Size: 3.83 MB - Last synced at: 4 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

ammahmoudi/Stochastic-Processes

Homework Solutions for Stochastic Processes Course as Computer Science B.Sc. Student at Department of Mathematical Sciences, Sharif University of Technology

Language: Jupyter Notebook - Size: 1.92 MB - Last synced at: 11 days ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

hainn2803/Training-Session-Machine-Learning-lab-2023

Training phases in Machine Learning lab at HUST, Spring 2023

Language: Jupyter Notebook - Size: 24.4 MB - Last synced at: 10 months ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

AmirInt/colmix

Collaborative filtering via Gaussian Mixture Models. As part of the MITx course on machine learning with Python - from linear models to deep learning

Language: Python - Size: 3.18 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

asifhaider/Machine-Learning-4-2

Machine Learning Course Assignments from Scratch (Exploratory Data Analysis, Logistic Regression, Adaboost, Feed Forward Neural Network, EM Algorithm, Gaussian Mixture Models, Singular Value Decomposition, Image Reconstruction, Principal Component Analysis)

Language: Jupyter Notebook - Size: 6.59 MB - Last synced at: 3 months ago - Pushed at: 11 months ago - Stars: 2 - Forks: 0

spsingh37/Unsupervised-learning

This repo contains implementations of key unsupervised learning techniques, including image compression (K-means, GMM), PCA for Eigenfaces, ICA for audio separation, and CVAE for MNIST generation. It's a resource for understanding and applying foundational algorithms.

Language: Jupyter Notebook - Size: 26.5 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

mainbrm1380/credit-card-holder-clustering

Implementation of five different clustering algorithms

Language: Jupyter Notebook - Size: 722 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

AEBilgrau/GMCM

Unsupervised Clustering and Meta-analysis using Gaussian Mixture Copula Models

Language: R - Size: 25.7 MB - Last synced at: 2 months ago - Pushed at: over 3 years ago - Stars: 15 - Forks: 3

Beliavsky/NormalMix1D

Fit a univariate mixture of normals to simulated data using the EM algorithm

Language: Python - Size: 7.81 KB - Last synced at: 3 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

FordyceLab/MRBLEs

Decoding and analysis software for MRBLEs (Microspheres with Ratiometric Barcode Lanthanide Encoding).

Language: Python - Size: 273 MB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 1

so-wise/so-fronts

Full scripts to generate figures for "Defining Southern Ocean fronts using unsupervised classification" https://doi.org/10.5194/os-17-1545-2021

Language: Python - Size: 519 MB - Last synced at: 2 months ago - Pushed at: 10 months ago - Stars: 9 - Forks: 2

asaelbarilan/GMM

its an example for an python numpy implementation of GMM for calssification

Language: Python - Size: 10.7 KB - Last synced at: 10 months ago - Pushed at: almost 6 years ago - Stars: 3 - Forks: 0

JayKareliya-code/GMM-EM-model

This project demonstrates the segmentation of images using a Gaussian Mixture Model (GMM) and the Expectation-Maximization (EM) algorithm. The project applies these advanced machine learning techniques to segment both grayscale and color images, providing a comprehensive approach to image segmentation.

Language: Python - Size: 577 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0