Gibbs-Variational-Inference

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

Python implementation of EM algorithm for GMM. And visualization for 2D case.

: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.

Blazing fast topic modelling for short texts.

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

Image segmentation using the EM algorithm that relies on a GMM for intensities and a MRF model on the labels. Based on "Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm" (Zhang, Y et al.)