I was trying to come up with a working implementation of the "eddy" using the paper "Non-parametric representation and prediction of single- and multi-shell diffusion-weighted MRI data using Gaussian processes". I am using MATLAB for implementation, the Gaussian process regression (fitrgp) is an already inbuilt function in MATLAB. My intuition is that this function is extensible enough to be used in place of you Guassian process functionality, but your opinion would be highly insightful and useful.
Fitrgp documentation: https://www.mathworks.com/help/stats/fitrgp.html
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