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-0.0.152.tar.gz
(13.2 kB
view details)
Built Distribution
mia_vgg-0.0.152-py3-none-any.whl
(24.9 kB
view details)
File details
Details for the file mia_vgg-0.0.152.tar.gz
.
File metadata
- Download URL: mia_vgg-0.0.152.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 | ed445e8752b06176cb362c2cc080c6c996fa443798fd6e3e214cb37901a8277e |
|
MD5 | cc05e0438877329f41ba15c616e901af |
|
BLAKE2b-256 | 9089ef517a390851962ae3ef53ef1a5bc3997721fabbb8b55774dd8f4d245bd6 |
File details
Details for the file mia_vgg-0.0.152-py3-none-any.whl
.
File metadata
- Download URL: mia_vgg-0.0.152-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 | 1670e63b8dc9196600fb2a3c8dfa2eef6925b298a4629ca3221eea24eabb87f1 |
|
MD5 | 2595ec76212c14a2c09cf700f1c48cab |
|
BLAKE2b-256 | 5e74055c1d89911647b6a6a6feb82312b68d10580aa1893560102c510c79a728 |