8 skills found
eleGAN23 / HyperNetsHypercomplex Neural Networks with PyTorch
bayer-science-for-a-better-life / Phc GnnImplementation of the Paper: "Parameterized Hypercomplex Graph Neural Networks for Graph Classification" by Tuan Le, Marco Bertolini, Frank Noé and Djork-Arné Clevert
Joris-JW / Quaternion Convolutional Neural NetworksQuaternion Convolutional Neural Networks: A novel approach that extends traditional convolutional neural networks by introducing quaternions, a hypercomplex number system. The proposed method outperforms traditional CNNs on several image classification tasks while maintaining a similar number of parameters.
leibniz-future-lab / HypercomplexECGEfficient ECG-based Atrial Fibrillation Detection via Parameterised Hypercomplex Neural Networks
mevalle / Hypercomplex Valued Convolutional Neural NetworksNo description available
Haosen-Zhang / HyperKron MRI ReconOfficial PyTorch implementation of 'Lightweight Hypercomplex MRI Reconstruction: A Generalized Kronecker-Parameterized Approach', leveraging Kronecker-based hypercomplex neural networks for efficient MRI reconstruction. Achieves high-quality MRI reconstruction with significantly fewer parameters, suitable for resource-constrained clinical settings.
SDS-Lab / Awesome Hypercomplex Neural NetworksA list of awesome papers and cool resources on hypercomplex neural networks.
mevalle / Hypercomplex Valued Recurrent Correlation Neural NetworksSource-codes and examples of hypercomplex-valued recurrent correlation neural networks
