Starting with simple kernel ridge regression, via classification, hyperparameter tuning, to large-scale GPU experiments, these notebooks cover all there is to know about Falkon.
Kernel ridge regression goes through the basic notions of the library with a simple example;
Logistic Falkon tutorial shows how to use the Logistic Falkon estimator, comparing the results with normal Falkon;
Hyperparameter tuning is a fully worked out example of parameter optimization with Falkon for a real-world multi-class problem;
GPU training details the options to maximize performance on multiple GPU systems.