Pytorch is a very powerfull framework for developing ML algorithms, but implementing subspace methods in torch can be a bit repetitive when we don’t have a starting point. For this, we developed this simple library which encapsulates some useful code that can be re-used and easily integrated with other torch codebases.
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Release files for subspyces 0.0.5
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Source distribution (sdist)
| File | Size | Uploaded | |
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| subspyces-0.0.5.tar.gz | 11.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| subspyces-0.0.5-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 26.8 kB
Release files / subspyces-0.0.5.tar.gz
| Download URL | subspyces-0.0.5.tar.gz |
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| Size | 11.1 kB |
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Release files / subspyces-0.0.5-py3-none-any.whl
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| Size | 15.7 kB |
| Tags | Python 3 |
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