Lecture slides for the Course "Large Foundation Models: Mathematics, Algorithms, and Applications"

Variational autoencoder is an innovation in the field of unsupervised machine learning. Its architecture combines stochastic encoder-decoder modules and deep learning.

Deep learning assignments of master course taught by Efstratios Gavves at UvA university

archived content from probabilistic learning course

Project for Pattern Recognition and Physical Methods for Biology exams @ University of Bologna