Implementation of a Cramer-Wold distance in PyTorch

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  • License: MIT License (MIT)
  • Author: EszKnop,
  • Tags cramerwold, cwae, lcw, autoencoder, cramer, wold
  • Requires: Python >=3.9
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Project description

Cramer-Wold Distance

Repository info

This repository contains an implementation of Cramer-Wold Distance in PyTorch, proposed by Szymon Knop, Przemysław Spurek, Jacek Tabor, Igor Podolak, Marcin Mazur, Stanisław Jastrzębski (2020).

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Code is distributed as a PyPI package. To use it in your project you can install it using PIP: pip install cw-torch

License

This implementation is licensed under the MIT License

Project details

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These details have been verified by PyPI
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Avatar for EszKnop from gravatar.com EszKnop

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Project links
Meta
  • License: MIT License (MIT)
  • Author: EszKnop,
  • Tags cramerwold, cwae, lcw, autoencoder, cramer, wold
  • Requires: Python >=3.9
Classifiers

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0.4.2

0.4.0

0.3.1

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