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Summary notebooks using derivative gaussian processes with tinygp. We implement a 2D derivative gaussian process and successfully use derivatives to regularize SVI fits with a gaussian process model..
Bayesian inference using sparse gaussian processes from tinygp. Examples include 1D and 2D implementation.
Set up JM (AVC) and HM (HEVC) reference codes in Ubuntu
Scripts to automate my work because I'm super lazy and coding is easier than working.