This repository regards the implementation of Bayesian Artificial Neural Networks as described in my thesis. Central for the implementation was the module TensorFlow Probability, where much of our technical work was inspired by Dustin Tran's demo example.
The repository is mainly structured as follows:
Requirements
Data pre-processing
Hyperparameter optimisation
Get metrics for the final model