Pranav Subramani
Pranav Subramani
Consider the following code taken from the JAX repository: https://github.com/google/jax/blob/master/examples/differentially_private_sgd.py I'd like to understand how to profile the memory taken by the neural network in an epoch. I looked into:...
### Description Implement Multivariate leaves for SPNs #### Expected behavior: Multivariate gaussians work as expected and can be used in SPNs as leaves.
### Description To add to the base of the library, the structure learning algorithm, named prometheus (http://proceedings.mlr.press/v72/jaini18a.html). #### Expected behavior: Should be outputting a learned structure following the SPFlow data...
Work in Progress (*please don't merge yet*) - Added basic Edge/Node abstraction to compute the SPN layerwise - Added basic network architecture from TorchSPN to convert the spn structure to...
Review the function + comment if there's anything that can be fixed