This repository contains all source code and hand-written notes used in a YouTube channel’s videos on machine learning and simulation. Topics covered include math fundamentals (optimization, linear algebra), probability theory, probabilistic machine learning (graphical models, EM algorithm, Variational Inference), and deep generative models such as Variational Auto-Encoders, Generative Adversarial Networks, and Latent Dirichlet Allocation. Materials are available in both English and German.