MLIO is a toolkit for easy I/O operations on machine learning projects. It tries to solve the problem of unified serialization framework as well as that of resource discovery and loading for local or remote storages.
MLIO is written on _Python >=3.6_
1 maintainer
Metadata
1 maintainer
Release files for mlio 0.9.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| mlio-0.9.1.tar.gz | 16.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| mlio-0.9.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 38.9 kB
Release files / mlio-0.9.1.tar.gz
| Download URL | mlio-0.9.1.tar.gz |
|---|---|
| Size | 16.6 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 |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Release files / mlio-0.9.1-py3-none-any.whl
| Download URL | mlio-0.9.1-py3-none-any.whl |
|---|---|
| Size | 22.3 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
60c12cff068fff096aaef223399ff112dd977fe11fdaf47cbbb33816e90ec762
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BLAKE2b-256 checksum How to use checksums |
f512fe9be2b2f0984c22f0a7780af9442bbc8aa14c8ac1e393a1575fa550bec3
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
