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