[P] Neural Processes in Pytorch • r/MachineLearning

I implemented the Neural Processes paper in Pytorch, and found a few interesting things not discussed elsewhere as far as I can see. For example, the posterior is liable to collapse to a near point estimate, and this appears to be somewhat related to the formulation they use. I wrote this up in an informal blog post, thoughts/comments welcome!