Un toolkit pour vite coder un modèle pytorch d'IA utilisant MLflow
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
webdisplay-0.1.1.tar.gz
(12.8 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 webdisplay-0.1.1.tar.gz.
File metadata
- Download URL: webdisplay-0.1.1.tar.gz
- Upload date:
- Size: 12.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.10.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
11a98a7bc30070fb34885237b67dd71976f6452567cd72d37aa3c67f7cb238f4
|
|
| MD5 |
50bfacba3568a4e652ec423e84f071e2
|
|
| BLAKE2b-256 |
3dde7ca1e3caa3e66df498b1bebe20bae2ca389e587a2d1b07ffde4d94062401
|
File details
Details for the file webdisplay-0.1.1-py3-none-any.whl.
File metadata
- Download URL: webdisplay-0.1.1-py3-none-any.whl
- Upload date:
- Size: 13.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.10.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
846b7ee0abd84af2b1a4f3d1757587e2683627496336d037b5465f4f99c5f9fa
|
|
| MD5 |
1447722c6f330bd6a8a9d5cd8d76c4de
|
|
| BLAKE2b-256 |
2cebc171b66632630fa3a33dedb9667145266a4fb8e5248c3b1cd570c5056482
|
