CNet

CNet is a specialized C++/CUDA framework designed for building and researching complex-valued neural networks with native support for Wirtinger derivatives. It provides CPU and GPU implementations of layers, explicit gradient computations, spectral operations like Fourier transforms, and a physics-native loss function based on the Born rule, aimed particularly at research in complex domain deep learning beyond what PyTorch or JAX offer.