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ICLR2021顶会

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

Patrick Kidger, Terry J. Lyons

2021年份
97被引次数
11顶会引用

摘要

Signatory is a library for calculating signature and logsignature transforms and related functionality. The focus is on making this functionality available for use in machine learning, and as such includes features such as GPU support and backpropagation. To our knowledge it is the first publically available GPU-capable library for these operations. It also implements several new algorithmic improvements, and provides several new features not available in previous libraries. The library operates as a Python wrapper around C++, and is compatible with the PyTorch ecosystem. It may be installed directly via pip. Source code, documentation, examples, benchmarks and tests may be found at this https URL. The license is Apache-2.0.

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