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 visualisations
• monte-carlo-dropout.ipynb contains the code for the Monte Carlo Dropout example
• laplace-approximation.ipynb contains the code for the Laplace Approximation example