A simple deep learning framework.
Metadata
Release files for mill-dl 0.1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| mill_dl-0.1.1.tar.gz | 5.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| mill_dl-0.1.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 13.4 kB
Release files / mill_dl-0.1.1.tar.gz
| Download URL | mill_dl-0.1.1.tar.gz |
|---|---|
| Size | 5.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.14.0
|
Release files / mill_dl-0.1.1-py3-none-any.whl
| Download URL | mill_dl-0.1.1-py3-none-any.whl |
|---|---|
| Size | 7.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
ac7afc71af8e0ad7e5e2555c9d7e11a1f321d76f1fbceaa9fb0c6ef66c804e8b
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BLAKE2b-256 checksum How to use checksums |
27d88ee8faeed7559bcc977fce26ca505cdad01951a47df8ec7c2edfd56d8f13
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.14.0
|