Tutorials#
The tutorials have two central goals:
Briefly introduce the idea of any particular UQ-Method
Show how you can apply and adapt these methods for your use case
1D Regression tutorials have the advantage that they are able to illustrate some concepts visually so they are generally a good place to start, however, we aim to provide tutorials for a wide variety of applications. The tutorial notebooks can also be run on google colab, by clicking on the little rocket icon at the top of the page.
Regression 1D targets#
These tutorials present the regression methods on a 1D toy dataset. However, the methods are equally equipped to handle other data modalities, for example image regression by swapping out the underlying network architecture.
Classification#
These tutorials present the classification methods on a Two Moons toy dataset. However, the methods are equally equipped to handle other data modalities, for example image classification by swapping out the underlying network architecture.