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Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
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For a fantastic overview of Bayesian filtering including the UKF, check out Simo Särkkä's text Bayesian Filtering and Smoothing (2013). You'll find the MATLAB source to works published here on GitHub: EEA-sensors.
https://github.com/rlabbe/Kalman-and-Bayesian-Filters-in-Python/ does an excellent job of explaining KF, EKF and UKF