MIA on VGG dataset using pytorch
Project description
The author of this package has not provided a project description
Project details
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
mia_vgg-0.0.154.tar.gz
(13.2 kB
view details)
Built Distribution
mia_vgg-0.0.154-py3-none-any.whl
(24.9 kB
view details)
File details
Details for the file mia_vgg-0.0.154.tar.gz
.
File metadata
- Download URL: mia_vgg-0.0.154.tar.gz
- Upload date:
- Size: 13.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.0 CPython/3.12.4
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | a7bb867869c708b7320f7d9de0ce9576a53d48917125ec4b15c0ad0f772cbcd7 |
|
MD5 | d3e011b8e9b51b3f968e5b14d6564c3e |
|
BLAKE2b-256 | 3dd15805b83cc943d904e78db78316700ccfac7dbb3b2e2faa9744513da4388d |
File details
Details for the file mia_vgg-0.0.154-py3-none-any.whl
.
File metadata
- Download URL: mia_vgg-0.0.154-py3-none-any.whl
- Upload date:
- Size: 24.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.0 CPython/3.12.4
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 87590aa357b1cb46a8f75160426a8ef69ab61a89d17ec235e0108389d06f5ed9 |
|
MD5 | ca20558b6e3a7d84d4236b7377b9c7a5 |
|
BLAKE2b-256 | ede2956ca0f75ec1599cd8f06a1e4b059898e35d23026e8c125e22f364787725 |