I’m looking to fork a PyTorch project for research but need help from experts. The new open source project would involve taking this existing project and making a few changes, I just don’t have a coding background: GitHub - chenmingxiang110/Growing-Neural-Cellular-Automata: A reproduction of growing neural cellular automata using PyTorch.
Instead of using a starting image the input data would take the first time step and use that as the input for the next time step and so on. The output image would be a graphical representation of the stacked time changes of all alive cells.
I’m hoping the result generates a 3D hypergraph that has the same qualities as the original GitHub project like self healing.
I want to see what the algorithm does when parts are corrupted or removed. My theory is the neural network will have some interesting characteristics.