semvec/pypi-packages huggingface dataset:
cw-torch 0.4.2
Implementation of a Cramer-Wold distance in PyTorch
License: MIT
Requires Python: >=3.9
Keywords: cramerwold cwae lcw autoencoder cramer wold

# 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)](https://jmlr.org/papers/v21/19-560.html).

## PyPI package

Code is distributed as a [PyPI package](https://pypi.org/project/cw-torch/).
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