Supporting code for the Advanced Machine Learning module.
Specifically notebooks containg code for perforing very simple Bayesian optimisation and some simple regression experiments.
Bayesian neural networks trained with the "Bayes-by-Backprop" SVI scheme and code in BNN.py and BNNLayer.py is adapted and updated from: https://github.com/ThirstyScholar/bayes-by-backprop