GMM-EM-Python

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

Bayesian Methods for Machine Learning

: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.

Animated Visualizations of Popular Machine Learning Algorithms

Code and data for the KDD2020 paper "Learning Opinion Dynamics From Social Traces"