Virtual Adversarial Training - Pytorch
Project description
The author of this package has not provided a project description
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
vat-pytorch-0.0.5.tar.gz
(6.5 kB
view details)
Built Distribution
File details
Details for the file vat-pytorch-0.0.5.tar.gz.
File metadata
- Download URL: vat-pytorch-0.0.5.tar.gz
- Upload date:
- Size: 6.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.9.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 476032da87bc652ac268a7883617e12ef419fc4802fa5cf9c6f5ac9aadb7dde3 |
|
| MD5 | 60ffd8cba136bcf71531a3434101d04c |
|
| BLAKE2b-256 | 89a4e06a56aa66c7108102746babf19d2459b27611df3f9035a64a98d8a8be04 |
File details
Details for the file vat_pytorch-0.0.5-py3-none-any.whl.
File metadata
- Download URL: vat_pytorch-0.0.5-py3-none-any.whl
- Upload date:
- Size: 6.3 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.9.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 5e223308087d582ab2acc2df409b8a1f6f3f9abe08f966aa189c7523cd4391b3 |
|
| MD5 | 549c8b66065eec38b4f30844ef94597a |
|
| BLAKE2b-256 | 1a12ac47a6a437ec586fb10419b04f00ee4de9da88fde470e87e37e31ed19cee |
