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This code implements Gaussian Process Regression in Python using the NumPy library.
I made this implementation as part of an assignment for CS 281B Scalable Machine Learning at UC Berkeley; I don't promise anything regarding the speed or accuracy of the code, but maybe someone will find it useful as a reference implementation one day...