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.
Cite
@article{arxiv.2407.00452,
title = {KHNNs: hypercomplex neural networks computations via Keras using TensorFlow and PyTorch},
author = {Agnieszka Niemczynowicz and Radosław Antoni Kycia},
journal= {arXiv preprint arXiv:2407.00452},
year = {2025}
}