MatProp is a compact backpropagation engine and neural network framework that provides a PyTorch-like interface for defining and training neural networks using autograd-supported matrix operations. It has been thoroughly tested against PyTorch to ensure that its calculations of values and gradients are correct, and despite its capabilities, it has a codebase of only about 300 lines of code with ample documentation.
