Probabilistic-Learning-and-Reasoning 1 Decision Theory, Naive Bayes, Regression Implementation 2 Image denoising by the loopy BP algorithm and Hamiltonian Monte Carlo in the TrueSkill model Implementation 3 Stochastic Variational Inference. Expectation-Maximization (EM) algorithm Implementation 4 Variational Autoencoders Implementation