elegan23 / hypernets Goto Github PK

Sir, I am willing to run your experimentation on image classification but failed , can you help how to compare performance of HyperComplex Neuralnetwork with Hamiltonian product and Qronecker Product on a image dataset.

Hello. I have a few different projects that could potentially benefit from these algorithms. However, these projects and classes all use TensorFlow as their main framework. While rewriting these layers would probably not be too difficult on my end, are there any plans for a TensorFlow port? If not, would it be possible for one to be written?

Also, just to get an idea, how difficult is it generally to port PyTorch layers to TensorFlow? How much debugging and messing around would one be looking at?