mixture-of-gaussians

Here are 13 public repositories matching this topic...

vsimkus / torch-reparametrised-mixture-distribution

PyTorch implementation of the mixture distribution family with implicit reparametrisation gradients.

data-science machine-learning pytorch gradients mixture-model variational-inference mixture-distributions mixture-of-gaussians

Updated Jan 22, 2024
Python

GuilanITS / mog-motion-detection

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A sample application to detect motions based on Mixture of Gaussian algorithm

motion-detection gaussian mog motion-tracking mixture-of-gaussians mog-background-subtraction

Updated May 28, 2020
C#

ialexmp / Machine-Learning

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This Machine Learning repository encompasses theory, hands-on labs, and two projects. Project 1 analyzes customer segmentation for marketing using clustering, while Project 2 applies supervised classification in marketing and sales.

data-science machine-learning machine-learning-algorithms artificial-intelligence supervised-learning data-analysis clustering-algorithm supervised-machine-learning customer-segmentation machine-learning-concepts project-based-learning clustering-techniques mixture-of-gaussians supervised-classification k-means-algorithm model-training-and-evaluation marketing-and-sales-classification data-science-and-ai-engineering

Updated Dec 2, 2023
Jupyter Notebook

danielgribel / SSC-IPA

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Source code of "Semi-Supervised Clustering with Inaccurate Pairwise Annotations" (Gribel, Gendreau and Vidal, 2021)

machine-learning clustering graphs semi-supervised-learning sbm mixture-model mixture-of-gaussians

Updated May 8, 2021
Julia

EliaFantini / WGAN-learns-the-distributon-of-a-MoG

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A Wasserstein Generative Adversarial Network that learns the distribution of a Mixture of Gaussian, using weight clipping or spectral normalization

python data-science machine-learning pytorch generative-adversarial-network gan matplotlib gif-animation minimax-algorithm wasserstein-gan spectral-normalization anaconda3 mixture-of-gaussians lipschitz-regularization lipschitz-constant weight-clip

Updated Sep 25, 2022
Python

safakozdek / CMPE462-Machine-Learning-Homeworks

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Homeworks of CMPE462 course in Bogazici University

machine-learning pca dimensionality-reduction k-means-clustering multilayer-perceptron k-fold-cross-validation mixture-of-gaussians

Updated Jun 3, 2019
Jupyter Notebook

eparps / GMM_SGD

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This is an implementation of the 2D Mixture of Gaussians (MOG) model based on Toscano & McMurray (2010) which was used in my Master's Thesis (Differential Cue Weighting in Sibilants: A Case Study of Two Sinitic Languages).

simulation linguistics phonetics stochastic-gradient-descent mandarin hakka mixture-of-gaussians phonological-category sibilants fricatives