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A library to explore performing deep learning (DL) using geometric algebra (GA) as fundamental primitives.

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lilseb

A library to perform deep learning (DL) using geometric algebra (GA) as fundamental primitives.

Validation steps

  • Some sort of image classification (MNIST) to compare: Accuracy, Accuracy per # of parameters, Accuracy per dataset size, Adversarial robustness(?)
  • Some sort of Capsule comparison (smallnorb): Accuracy, Accuracy per # of parameters, Accuracy per dataset size

Future work

  • Replace einsum with sparse-tensor friendly version (geometric product tensor is quite sparse) and measure performance difference.

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A library to explore performing deep learning (DL) using geometric algebra (GA) as fundamental primitives.

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