Monitor of training progress of Deep Learning models built on TensorFlow & Theano
1 maintainer
Metadata
1 maintainer
Release files for Kregistrar 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| Kregistrar-0.0.1.tar.gz | 2.8 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| Kregistrar-0.0.1-py2.py3-none-any.whl | Python 2, Python 3 | none | any | Details |
Total release size: 7.0 kB
Release files / Kregistrar-0.0.1.tar.gz
| Download URL | Kregistrar-0.0.1.tar.gz |
|---|---|
| Size | 2.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
b25cbcf766ebe423cd8a04b8b3a226c5b6ce984e6b257d568a69561c82ec7da8
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BLAKE2b-256 checksum How to use checksums |
82d9d0c3d637d0ffe2f3bf11011aeb85f1efa81c01a75019280f76484a02dc14
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Release files / Kregistrar-0.0.1-py2.py3-none-any.whl
| Download URL | Kregistrar-0.0.1-py2.py3-none-any.whl |
|---|---|
| Size | 4.1 kB |
| Tags | Python 2 Python 3 |
|
SHA-256 checksum How to use checksums |
d54df946c0071e97e2f6d2e5eb0812e78355a57033dd6a830714a4c884cd933d
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|
BLAKE2b-256 checksum How to use checksums |
ce3857ab49ee6c6fe359e7bee6dc11820238b094a278902ef9ec6103ddda1cdc
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Security for Kregistrar 0.0.1
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No provenance found
None of the files in this release were uploaded with provenance metadata.
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