This repo contains some demos which accompany the excellent Bayesian Filtering & Smoothing book by Simo Särkkä.
Along with the original code provided with the book (available on the book’s web page: https://www.cambridge.org/sarkka) I have included the Python code.
To view and execute the Jupyter notebooks in the cloud, simply press the launch-Binder button above, wait a few moments for the requirements to be fulfilled and then navigate to the desired demo file.
All the errors in the Python notebooks and scripts are obviously mine.