Clifra: a differentiable Clifford algebra computation layer for PyTorch

Hi, I’ve been working on clifra, a differentiable Clifford algebra computation layer for PyTorch. The main design goal is to keep Clifford algebra inside the normal PyTorch programming model. Values are ordinary torch.Tensors; layouts describe what their coefficient axis means, while leading dimensions remain ordinary PyTorch dimensions for batching, broadcasting, spatial structure, or anything else the application needs. PyTorch continues to own autograd, modules, devices, and tensor composit...