Popular GitHub Repositories for Gaussian Mixture Models

Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc..

Traditional Machine Learning Models for Large-Scale Datasets in PyTorch.

The only guide you need to learn everything about GMM

:sound: :boy: :girl: :woman: :man: Speaker identification using voice MFCCs and GMM

Implementation of Machine Learning Algorithms

TensorFlow-based implementation of (Gaussian) Mixture Model and some other examples.

Implementation of a model to make VAE and GMM train from each other

Variational Bayesian Model Selection for Mixture Distributions [Corduneanu&Bishop01][PRML 10.2.1]

Anomaly Detection In An IoT-Acquired Environmental Sensor Data

Python implementation of basic machine learning algorithms

Bayes Classifier with Gaussian Mixture Models to generate handwritten images

The Anonymous Synthesizer for Health Data

Gaussian Mixture Graphical Model Learning and Inference

Coordinate Ascent Variational Inference for Dirichlet Process Mixtures of Gaussians

A graph-based Gaussian Mixture Variational Autoencoder improves metagenome binning for short contigs

Implement of paper "Unsupervised Outlier Detection using Random Subspace and Subsampling Ensembles of Dirichlet Process Mixtures"

This repository summaries Probabilistic Graphical Models and uses Gaussian Mixture Models as an example to illustrate these basic ideas.

基于任务参数化高斯过程 (TPGP) 的多参考系技能从演示中学习