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GitHub topics: mixture-of-gaussians

Beliavsky/Mixture-of-Normals-Estimation

Estimate a univariate mixture of normals distribution using moments and the EM algorithm

Language: Python - Size: 0 Bytes - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

vsimkus/torch-reparametrised-mixture-distribution

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

Language: Python - Size: 16.6 KB - Last synced at: 4 days ago - Pushed at: over 1 year ago - Stars: 19 - Forks: 1

ayu-ano/Basic_Object-detection

End to End Basic object Detection using Open CV

Language: Python - Size: 10.6 MB - Last synced at: 3 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

Beliavsky/NormalMix1D

Fit a univariate mixture of normals to simulated data using the EM algorithm

Language: Python - Size: 7.81 KB - Last synced at: about 2 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

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.

Language: Jupyter Notebook - Size: 75.3 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 1

danielgribel/SSC-IPA

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

Language: Julia - Size: 76.2 KB - Last synced at: almost 2 years ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0

jahnvisikligar/Machine-Learning

This repository is reflection of the machine learning algorithms work implemented by me under the coursework - ECS708P

Language: Python - Size: 3.42 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

GuilanITS/mog-motion-detection

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

Language: C# - Size: 89.9 MB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 0

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

Language: Python - Size: 24.8 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

mustafa1728/Advanced-Background-Subtraction Fork of tamajit-banerjee/Advanced-Background-Subtraction

Advanced Background Subtraction using OpenCV

Language: Python - Size: 11.8 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

tamajit-banerjee/Advanced-Background-Subtraction

Advanced Background Subtraction using OpenCV

Language: Python - Size: 11.8 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 2

ForceBru/GaussianMixturesCECF

Estimate Gaussian mixture models using the Continuous Empirical Characteristic Function method introduced in (Xu & Knight, 2010)

Language: Julia - Size: 200 KB - Last synced at: 7 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

aysusayin/Machine-Learning-Algorithms

These are the essential machine learning algorithms that I implemented for Introduction to Machine Learning lecture in my university.

Language: Jupyter Notebook - Size: 789 KB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0

ljn1999/ECE421-Introduction-to-Machine-Learning

Python assignments of ECE421 at the University of Toronto.

Language: Python - Size: 4.31 MB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 1

safakozdek/CMPE462-Machine-Learning-Homeworks

Homeworks of CMPE462 course in Bogazici University

Language: Jupyter Notebook - Size: 594 KB - Last synced at: about 2 years ago - Pushed at: almost 6 years ago - Stars: 0 - Forks: 0

Related Keywords
mixture-of-gaussians 15 machine-learning 7 data-science 3 mixture-model 3 pytorch 3 histogram-equalization 2 knn 2 opencv 2 machine-learning-algorithms 2 ptz-camera 2 ecc 2 background-subtraction 2 gaussian-mixture-models 2 multilayer-perceptron 2 pca 2 linear-regression 2 finite-mixture 2 finite-mixture-models 2 mixture-of-normals 2 statistics 2 motion-tracking 1 anaconda3 1 gan 1 weight-clip 1 wasserstein-gan 1 spectral-normalization 1 python 1 generative-adversarial-network 1 gif-animation 1 minimax-algorithm 1 lipschitz-constant 1 matplotlib 1 lipschitz-regularization 1 opencv-python 1 classification 1 classification-algorithm 1 k-nearest-neighbours 1 lda 1 linear-discriminant-analysis 1 parametric-classification 1 perceptron 1 principal-component-analysis 1 k-means 1 logistic-regression 1 neural-network 1 tensorflow 1 dimensionality-reduction 1 k-fold-cross-validation 1 k-means-clustering 1 data-science-and-ai-engineering 1 data-analysis 1 customer-segmentation 1 clustering-techniques 1 clustering-algorithm 1 artificial-intelligence 1 em-algorithm 1 python3 1 numpy 1 math 1 masking 1 cv2 1 background-substraction-algorithm 1 variational-inference 1 mixture-distributions 1 gradients 1 simulation 1 maximum-likelihood-estimation 1 motion-detection 1 mog-background-subtraction 1 mog 1 gaussian 1 neural-networks 1 logi 1 semi-supervised-learning 1 sbm 1 graphs 1 clustering 1 supervised-machine-learning 1 supervised-learning 1 supervised-classification 1 project-based-learning 1 model-training-and-evaluation 1 marketing-and-sales-classification 1 machine-learning-concepts 1 k-means-algorithm 1