A simple deep learning framework in pure Python.
1 maintainer
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1 maintainer
Release files for mill-dl 0.1.0
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-0.1.0.tar.gz | 5.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| mill_dl-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 12.5 kB
Release files / mill_dl-0.1.0.tar.gz
| Download URL | mill_dl-0.1.0.tar.gz |
|---|---|
| Size | 5.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
4ca2237e82ed77e885f7ee61fe3835c376f1fe88ec4d7e104c2055db1fe6bd01
|
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BLAKE2b-256 checksum How to use checksums |
4c4328e815947600757dc8eae43cb636d43eef9396cfea57291508cd8860c657
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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-0.1.0-py3-none-any.whl
| Download URL | mill_dl-0.1.0-py3-none-any.whl |
|---|---|
| Size | 7.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
9dcceccb642a92aa8a77a9d5891940334175e869efb637682f7d7990e4eb4409
|
|
BLAKE2b-256 checksum How to use checksums |
4d465eab85c3dc4c64e9ea3fc01ba5df0663c010e1350b0f8a58fc45f2c4c91a
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.14.0
|
