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).
PyPI package
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
1 maintainer
Release files for cw-torch 0.4.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| cw-torch-0.4.2.tar.gz | 4.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| cw_torch-0.4.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 8.6 kB
Release files / cw-torch-0.4.2.tar.gz
| Download URL | cw-torch-0.4.2.tar.gz |
|---|---|
| Size | 4.0 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Release files / cw_torch-0.4.2-py3-none-any.whl
| Download URL | cw_torch-0.4.2-py3-none-any.whl |
|---|---|
| Size | 4.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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| Uploaded via |
twine/4.0.1 CPython/3.9.13
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