2020

Signatory: differentiable computations of the signature and logsignature transforms, on both CPU and GPU

Kidger, Patrick, Lyons, Terry

Understand

Signatory is a library for calculating and performing functionality related to the signature and logsignature transforms.

  • The focus is on machine learning, and as such includes features such as CPU parallelism, GPU support, and backpropagation.
  • To our knowledge it is the first GPU-capable library for these operations.
  • Signatory implements new features not available in previous libraries, such as efficient precomputation strategies.

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