JAX implementation I made to understand GP's and meta-learning.
Find my blogpost here.
Read the paper here.
Code should be pretty self-explanatory.
Example plot given by test.py meant to reproduces Figure 2 from the paper:
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JAX implementation of "Meta-Learning Priors for Efficient Online Bayesian Regression" by Harrison et al.
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