Kalman and Bayesian Filters in Python Introductory text for Kalman and Bayesian filters. All code is written in Python, and the book itself is written using Jupyter Notebook so that you can run and ...
This project implements Bayesian temperature scaling for calibrating neural network predictions, providing uncertainty quantification beyond standard point estimation methods. We demonstrate that ...
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