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-0.0.39.tar.gz
(6.8 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file mia_vgg-0.0.39.tar.gz.
File metadata
- Download URL: mia_vgg-0.0.39.tar.gz
- Upload date:
- Size: 6.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.0 CPython/3.12.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
51b4fdd2ef97950390d861da1ff8cbf865a7bf5f19af841800949ddd9517c514
|
|
| MD5 |
268365dd2e2ce73375b80c9f7a9bae57
|
|
| BLAKE2b-256 |
bded6ca3ff320ceac2156452e8e77378ec67658779a1058c852067e2e82f1a95
|
File details
Details for the file mia_vgg-0.0.39-py3-none-any.whl.
File metadata
- Download URL: mia_vgg-0.0.39-py3-none-any.whl
- Upload date:
- Size: 7.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.0 CPython/3.12.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
2dbaa0939b1316d83aa1fa520485853af1ffe68aa407ae84ba177531453400d9
|
|
| MD5 |
8fcf23ef3992ab8d57b0b1db50343180
|
|
| BLAKE2b-256 |
bcad172b051a79dc502935069b13be23034bbca650e12bda372363273cfef690
|