AntoinePassemiers/ArchMM

A Cython Machine Learning library dedicated to Hidden Markov Models

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yrlu/image_color_segmentation-gmm

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

Language: Matlab - Size: 321 KB - Last synced at: about 1 year ago - Pushed at: about 8 years ago - Stars: 14 - Forks: 10

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

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

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agikarasugi/HumanBinaryClassificationSuite

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

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Keefe-Murphy/IMIFA

Infinite Mixtures of Infinite Factor Analysers

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SeyedMuhammadHosseinMousavi/Differential-Evolution-Clustering

Differential Evolution Clustering

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RezaSaadatyar/Machine-Learning-in-Python

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

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HanaHasan04/PPEM-for-GMM

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

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KnowledgeDiscovery/SCGM Fork of nijingchao/SCGM

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

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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.

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PontusHovb/Iris-Flower-ML

Image classification of Iris Flower dataset using 5 different machine learning methods (Decision Tree, Support Vector Machine, Random Forest, Naive Bayes and K-nearest neighbour)

Language: Python - Size: 151 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0

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

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

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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.

Language: Python - Size: 32.5 MB - Last synced at: 2 months ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 1

georgemuriithi/market-phases-detection

Detecting stock market phases using a Gaussian mixture model.

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danesherbs/expectation-maximisation-gmm

Implementation of EM algorithm for the Gaussian mixture model.

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arubiales/Gaussian-Mixture-Model

Fast explication of Gaussian Mixture model for clustering

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Aaryan015/AI-book-recommender-system

Hybrid recommender system - Collaborative filtering + Content based filtering (same as used by Netflix).

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zjykzj/FrameDiff

Implementation of inter-frame difference algorithm

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

Data Science Project (Autonomous Driving Dataset Analysis)

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msikorski93/Seed-Clustering

Performing basic clustering on a seeds dataset.

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PyFE/InvGaussianQuad-R

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

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jbayardo/eci2017-bayesian-models

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JakubVojvoda/speaker-recognition

Speaker Recognition based on GMM

Language: Matlab - Size: 3.91 KB - Last synced at: about 1 month ago - Pushed at: almost 9 years ago - Stars: 0 - Forks: 0