Expectation maximization for Gaussian Mixture Models (GMMs)
Applied Variational Inference in a Variational AutoEncoder (VAE) architecture using Convolutional Networks
Implemented a basic Monte Carlo Simulation to estimate probabilities and used MCMC to perform inference using PyMC3
Performed regression tasks and hyperparameters optimization using Gaussian Processes.