  Neural networks used in computations with more advanced algebras than real
numbers perform better in some applications. However, there is no general
framework for constructing hypercomplex neural networks. We propose a library
integrated with Keras that can do computations within TensorFlow and PyTorch.
It provides Dense and Convolutional 1D, 2D, and 3D layers architectures.
