COLLECTED BY

Organization: Archive Team

Formed in 2009, the Archive Team (not to be confused with the archive.org Archive-It Team) is a rogue archivist collective dedicated to saving copies of rapidly dying or deleted websites for the sake of history and digital heritage. The group is 100% composed of volunteers and interested parties, and has expanded into a large amount of related projects for saving online and digital history.

History is littered with hundreds of conflicts over the future of a community, group, location or business that were "resolved" when one of the parties stepped ahead and destroyed what was there. With the original point of contention destroyed, the debates would fall to the wayside. Archive Team believes that by duplicated condemned data, the conversation and debate can continue, as well as the richness and insight gained by keeping the materials. Our projects have ranged in size from a single volunteer downloading the data to a small-but-critical site, to over 100 volunteers stepping forward to acquire terabytes of user-created data to save for future generations.

The main site for Archive Team is at archiveteam.org and contains up to the date information on various projects, manifestos, plans and walkthroughs.

This collection contains the output of many Archive Team projects, both ongoing and completed. Thanks to the generous providing of disk space by the Internet Archive, multi-terabyte datasets can be made available, as well as in use by the Wayback Machine, providing a path back to lost websites and work.

Our collection has grown to the point of having sub-collections for the type of data we acquire. If you are seeking to browse the contents of these collections, the Wayback Machine is the best first stop. Otherwise, you are free to dig into the stacks to see what you may find.

The Archive Team Panic Downloads are full pulldowns of currently extant websites, meant to serve as emergency backups for needed sites that are in danger of closing, or which will be missed dearly if suddenly lost due to hard drive crashes or server failures.

Collection: Archive Team: URLs

TIMESTAMPS

The Wayback Machine - https://web.archive.org/web/20240413053330/https://github.com/topics/gaussian-mixture-model

#

gaussian-mixture-model

Here are 27 public repositories matching this topic...

AntoinePassemiers / ArchMM

A Cython Machine Learning library dedicated to Hidden Markov Models

hmm hidden-markov-model gaussian-mixture-model input-output-hidden-markov-model

Updated Aug 1, 2023
Python

yrlu / image_color_segmentation-gmm

Implemented Gaussian Mixture Models (GMM) for image color segmentation.

matlab image-segmentation gmm gaussian-mixture-model em

Updated Jun 9, 2017
MATLAB

sidharth178 / Market-Segmentation-in-SBI-life-Insurance

A machine learning clustering model for customer segmentation to define marketing strategy.

machine-learning segmentation gaussian-mixture-model spectral-clustering-algorithm k-means-clustering agglomerative-clustering dbscan-algorithm

Updated Jun 8, 2021
Jupyter Notebook

agikarasugi / HumanBinaryClassificationSuite

Suite for human/nonhuman binary classification problem using MOG, CNN with VIRAT2.0-based dataset

cnn dataset gaussian-mixture-model cnn-keras mog binary-classification cnn-model human-detection

Updated Oct 20, 2019
Jupyter Notebook

Keefe-Murphy / IMIFA

Infinite Mixtures of Infinite Factor Analysers

gaussian-mixture-model factor-analysis dimension-reduction model-based-clustering bayesian-nonparametrics

Updated Dec 12, 2023
R

SeyedMuhammadHosseinMousavi / Differential-Evolution-Clustering

Differential Evolution Clustering

clustering differential-evolution gaussian-mixture-model k-means-clustering evolutionary-clustering

Updated Jan 7, 2022
MATLAB

variational-inference-gmm

mark-antal-csizmadia / variational-inference-gmm

Coordinate ascent mean-field variational inference (CAVI) using the evidence lower bound (ELBO) to iteratively perform the optimal variational factor distribution parameter updates for clustering.

python gaussian-mixture-model variational-inference probabilistic-graphical-models latent-variables kl-divergence mean-field-theory elbo coordinate-ascent variational-lower-bound

Updated Sep 1, 2021
Jupyter Notebook

KnowledgeDiscovery / SCGM

Code and data for "Superclass-class conditional Gaussian mixture model for learning fine-grained embeddings" @ ICLR2022

gaussian-mixture-model superclass learning-embeddings

Updated Jun 24, 2022
Python

RezaSaadatyar / Machine-Learning-in-Python

This repository contains functions/codes related to different methods of machine learning for classification and clustering in python.

random-forest clustering naive-bayes machine-learning-algorithms classification logistic-regression support-vector-machine adaboost decision-trees gaussian-mixture-model principal-component-analysis k-nearest-neighbours singular-value-decomposition k-means-clustering multilayer-perceptron independent-component-analysis t-distributed-stochastic feature-selection-methods feature-extraction-methods linear-discrimination-analysis

Updated Feb 28, 2024
Jupyter Notebook

HanaHasan04 / PPEM-for-GMM

Privacy-Preserving Distributed Expectation Maximization for Gaussian Mixture Models via Fully Homomorphic Encryption

gaussian-mixture-model expectation-maximization-algorithm fully-homomorphic-encryption

Updated Sep 1, 2023
Jupyter Notebook

GianlucaPorcelli / Clustering

Library and hand-made clustering algorithms are implemented in this project

pca silhouette gaussian-mixture-model gaussian-processes dbscan k-medoids hdbscan k-means-implementation-in-python k-means-clustering k-medoids-clustering

Updated Dec 21, 2019
Python

jantas / 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.

gaussian-mixture-model expectation-maximization-algorithm mixture-model em-algorithm markov-model-mixture

Updated May 23, 2021
R

GustavoHFMO / OGMMF-VRD

Algorithms proposed in the following paper: G. Oliveira, L. L. Minku and A. L. I. Oliveira, "Tackling Virtual and Real Concept Drifts: An Adaptive Gaussian Mixture Model Approach," in IEEE Transactions on Knowledge and Data Engineering, 2021. doi: 10.1109/TKDE.2021.3099690.

gmm gaussian-mixture-model virtual-drift real-drift

Updated Mar 3, 2022
Python

georgemuriithi / market-phases-detection

Detecting stock market phases using a Gaussian mixture model.

python machine-learning gaussian-mixture-model stock-market-phases

Updated Feb 14, 2022
Jupyter Notebook

danesherbs / expectation-maximisation-gmm

Implementation of EM algorithm for the Gaussian mixture model.

clustering matlab expectation-maximization gaussian-mixture-model

Updated Oct 16, 2019
MATLAB

moreirab / customer-segments

Machine Learning Engineer Nanodegree, Unsupervised Learning, Creating Customer Segments

udacity clustering data-visualization pca dimensionality-reduction segmentation unsupervised-learning gmm gaussian-mixture-model udacity-nanodegree principal-component-analysis clustering-algorithm feature-scaling feature-transformation biplot data-recovery udacity-machine-learning-nanodegree k-means-clustering customer-segments customer-segmentation

Updated Jan 6, 2019
HTML

SeyedMuhammadHosseinMousavi / Synthetic-Data-Generation-SDG-by-Gaussian-Mixture-Model-GMM-Distribution

Synthetic Data Generation (SDG) by Gaussian Mixture Model (GMM) Distribution

gmm gaussian-mixture-model sdg synthetic-data-generation

Updated Jul 21, 2023
MATLAB

arubiales / Gaussian-Mixture-Model

Fast explication of Gaussian Mixture model for clustering

clustering scikit-learn sklearn gmm gaussian-mixture-model

Updated Sep 26, 2019
Jupyter Notebook

Fredick-nc / Comparative-study-on-the-response-ability-of-safety-officers-in-autonomous-driving-test

Data Science Project (Autonomous Driving Dataset Analysis)

random-forest logistic xgboost gaussian-mixture-model knn decision-tree k-means-clustering extra-trees

Updated Dec 6, 2023
Jupyter Notebook

PyFE / InvGaussianQuad-R

The R code sets for "Inverse Gaussian quadrature and finite normal-mixture approximation of the generalized hyperbolic distribution"

gaussian-mixture-model gaussian-quadrature normal-inverse-gaussian inverse-gaussian generalized-hyperbolic-distribution gauss-hermite-quadrature

Updated Feb 5, 2021
R

Improve this page

Add a description, image, and links to the gaussian-mixture-model topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the gaussian-mixture-model topic, visit your repo's landing page and select "manage topics."