I am developing Structured Knowledge Accumulation (SKA), a new framework for entropy-driven learning without backpropagation. It requires a custom tensor subclass in PyTorch to handle knowledge accumulation, decision probabilities, and entropy-based updates.
Where is the best place to post for support on implementing a PyTorch tensor subclass for this type of learning?
Thanks in advance for any guidance!