You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Hi @dirmeier, thanks for making this amazing codebase!
I am currently working on a sequential neural process implementation that can hopefully be added to ramsey at some point.
But I am quite new flax/jax and running into some issues with regards to data shapes and I am hoping for some insight. Specifically, at each time point in a sequence the number of context points can vary and can also be null. I am trying using masks but that is turning out to be somewhat messy. Would you have suggestions regarding how this could be achieved?
The text was updated successfully, but these errors were encountered:
Hi @ojss, that sounds fantastic! Having this in ramsey would be amazing.
With respect to Jax, I agree that this is not straight-forward and a bit complicated. We also used masks for this in the end for some models (which are not yet implemented). But I think you could just start with a prototype that implements a working model and then we'll see if one can speed it up, etc.
Hi @dirmeier, thanks for making this amazing codebase!
I am currently working on a sequential neural process implementation that can hopefully be added to ramsey at some point.
But I am quite new flax/jax and running into some issues with regards to data shapes and I am hoping for some insight. Specifically, at each time point in a sequence the number of context points can vary and can also be null. I am trying using masks but that is turning out to be somewhat messy. Would you have suggestions regarding how this could be achieved?
The text was updated successfully, but these errors were encountered: