Summary notebooks using derivative gaussian processes with tinygp. We implement a 2D derivative gaussian process and successfully use derivatives to regularize SVI fits with a gaussian process model..
-
Updated
May 16, 2024 - Jupyter Notebook
Summary notebooks using derivative gaussian processes with tinygp. We implement a 2D derivative gaussian process and successfully use derivatives to regularize SVI fits with a gaussian process model..
Bayesian inference using sparse gaussian processes from tinygp. Examples include 1D and 2D implementation.
Explore selected topics related to Gaussian processes
Add a description, image, and links to the tinygp topic page so that developers can more easily learn about it.
To associate your repository with the tinygp topic, visit your repo's landing page and select "manage topics."