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
