MLCube brings the concept of interchangeable parts to the world of machine learning models. It is the shipping container that enables researchers and developers to easily share the software that powers machine learning.
4 maintainers
Metadata
4 maintainers
Release files for mlcube 0.0.9
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| mlcube-0.0.9.tar.gz | 33.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| mlcube-0.0.9-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 72.7 kB
Release files / mlcube-0.0.9.tar.gz
| Download URL | mlcube-0.0.9.tar.gz |
|---|---|
| Size | 33.0 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
3c85dcef86afc7719cb8aeebc31c1b7c49ba4814bf61cfed1cd9565f63aa31d0
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.11.3
|
Release files / mlcube-0.0.9-py3-none-any.whl
| Download URL | mlcube-0.0.9-py3-none-any.whl |
|---|---|
| Size | 39.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
a91b3dca62ba742c240c39f35596eba99ecdaf2ef3ebad7fae95b3b218c41934
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BLAKE2b-256 checksum How to use checksums |
0137d16ac33cd23b6df7e561a4a4612826135dac81ee97aed602b08adc3fd993
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.11.3
|
