This repository contains the code for the blog post Reasons for uncertainty in machine learning models. It's written in python and uses poetry for dependency management. Get started by running the following commands:
poetry install
poetry run jupyter lab
visualisations.ipynb
contains the code for creating basic visualisationsmonte-carlo-dropout.ipynb
contains the code for the Monte Carlo Dropout examplelaplace-approximation.ipynb
contains the code for the Laplace Approximation example