mixture-of-gaussians

There are 0 repository under mixture-of-gaussians topic.

vsimkus / torch-reparametrised-mixture-distribution
PyTorch implementation of the mixture distribution family with implicit reparametrisation gradients.
pytorch gradients mixture-distributions machine-learning data-science mixture-model mixture-of-gaussians variational-inference
Language:Python 14
danielgribel / SSC-IPA
Source code of "Semi-Supervised Clustering with Inaccurate Pairwise Annotations" (Gribel, Gendreau and Vidal, 2021)
machine-learning clustering semi-supervised-learning sbm mixture-of-gaussians mixture-model graphs
Language:Julia 2
GuilanITS / mog-motion-detection
A sample application to detect motions based on Mixture of Gaussian algorithm
gaussian mixture-of-gaussians mog mog-background-subtraction motion-detection motion-tracking
Language:C# 2
WGAN-learns-the-distributon-of-a-MoG
EliaFantini / WGAN-learns-the-distributon-of-a-MoG
A Wasserstein Generative Adversarial Network that learns the distribution of a Mixture of Gaussian, using weight clipping or spectral normalization
data-science gan generative-adversarial-network lipschitz-constant lipschitz-regularization machine-learning matplotlib minimax-algorithm mixture-of-gaussians pytorch spectral-normalization wasserstein-gan weight-clip anaconda3 python gif-animation
Language:Python 1
ialexmp / Machine-Learning
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.
artificial-intelligence clustering-algorithm clustering-techniques customer-segmentation data-analysis data-science k-means-algorithm machine-learning machine-learning-algorithms machine-learning-concepts mixture-of-gaussians model-training-and-evaluation project-based-learning supervised-classification supervised-learning supervised-machine-learning data-science-and-ai-engineering marketing-and-sales-classification
Language:Jupyter Notebook 1
safakozdek / CMPE462-Machine-Learning-Homeworks
Homeworks of CMPE462 course in Bogazici University
dimensionality-reduction k-fold-cross-validation k-means-clustering machine-learning mixture-of-gaussians multilayer-perceptron pca
Language:Jupyter Notebook 1
aysusayin / Machine-Learning-Algorithms
These are the essential machine learning algorithms that I implemented for Introduction to Machine Learning lecture in my university.
machine-learning-algorithms machine-learning principal-component-analysis linear-discriminant-analysis lda pca classification classification-algorithm mixture-of-gaussians parametric-classification k-nearest-neighbours perceptron multilayer-perceptron
Language:Jupyter Notebook 0
eparps / GMM_SGD
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).
linguistics mixture-of-gaussians phonetics phonological-category simulation fricatives sibilants stochastic-gradient-descent hakka mandarin
Language:Python 0
ljn1999 / ECE421-Introduction-to-Machine-Learning
Python assignments of ECE421 at the University of Toronto.
k-means linear-regression logistic-regression machine-learning mixture-of-gaussians neural-network pytorch tensorflow
Language:Python 0
tamajit-banerjee / Advanced-Background-Subtraction
Advanced Background Subtraction using OpenCV
background-subtraction ecc histogram-equalization knn mixture-of-gaussians opencv opencv-python ptz-camera
Language:Python 0
ForceBru / GaussianMixturesCECF
Estimate Gaussian mixture models using the Continuous Empirical Characteristic Function method introduced in (Xu & Knight, 2010)
statistics mixture-model mixture-of-gaussians gaussian-mixture-models
Language:Julia
mustafa1728 / Advanced-Background-Subtraction
Advanced Background Subtraction using OpenCV
background-subtraction ecc histogram-equalization knn mixture-of-gaussians opencv ptz-camera
Language:Python