A Cython Machine Learning library dedicated to Hidden Markov Models
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Aug 1, 2023 - Python
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gaussian-mixture-model
Here are 59 public repositories matching this topic...
Implemented Gaussian Mixture Models (GMM) for image color segmentation.
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Jun 9, 2017 - MATLAB
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
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Jun 8, 2021 - Jupyter Notebook
[CVPR 2026] Flow Matching for Multimodal Distributions
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Jun 12, 2026 - Python
Infinite Mixtures of Infinite Factor Analysers
gaussian-mixture-model factor-analysis dimension-reduction model-based-clustering bayesian-nonparametrics
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Dec 12, 2023 - R
Suite for human/nonhuman binary classification problem using MOG, CNN with VIRAT2.0-based dataset
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Oct 20, 2019 - Jupyter Notebook
Production-ready Python implementation of Gaussian Mixture Models for incomplete data, enabling joint clustering and missing-value imputation via EM
python data-science machine-learning clustering numpy scikit-learn statistical-learning scientific-computing expectation-maximization scipy imputation missing-data gaussian-mixture-model em-algorithm probabilistic-models incomplete-data manim pypi-package
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May 13, 2026 - Python
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
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Sep 1, 2021 - Jupyter Notebook
Differential Evolution Clustering
clustering optimization differential-evolution gaussian-mixture-model metaheuristics k-means-clustering evolutionary-clustering
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Dec 20, 2024 - MATLAB
Code and data for "Superclass-class conditional Gaussian mixture model for learning fine-grained embeddings" @ ICLR2022
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Jun 24, 2022 - Python
Detecting stock market phases using a Gaussian mixture model.
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Feb 14, 2022 - Jupyter Notebook
Benchmark of 6 ML models (incl. MLP & SOM from scratch) on 22 UCI datasets. Stratified CV, hyperparameter tuning, comparison with published baselines.
python benchmark machine-learning neural-network random-forest clustering numpy scikit-learn som cross-validation supervised-learning classification logistic-regression mlp unsupervised-learning gaussian-mixture-model uci-dataset
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Mar 9, 2026 - Jupyter Notebook
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
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Jun 22, 2025 - Jupyter Notebook
Synthetic Data Generation (SDG) by Gaussian Mixture Model (GMM) Distribution
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Jul 21, 2023 - MATLAB
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
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Dec 21, 2019 - Python
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
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May 23, 2021 - R
Privacy-Preserving Distributed Expectation Maximization for Gaussian Mixture Models via Fully Homomorphic Encryption
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Sep 1, 2023 - Jupyter Notebook
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.
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Apr 5, 2026 - Python
Testing out statistical models for generating synthetic tabular data.
hmm tabular-data gaussian-mixture-models hidden-markov-model gaussian-mixture-model copula hmmlearn synthetic-data vector-autoregression synthetic-dataset-generation copulas
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Aug 8, 2025 - HTML
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
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Jan 6, 2019 - HTML
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