nuts-ml is a data pre-processing library for GPU based deep learning that provides common pre-processing functions as independent, reusable units. These so called ‘nuts’ can be freely arranged to build data flows that are efficient, easy to read and modify.
The following example gives a taste of a nuts-ml data-flow that trains a network on image data and prints training loss and accuracy
(train_samples >> Stratify(1) >> read_image >> transform >> augment >>
Shuffle(100) >> build_batch >> network.train() >>
Print('train loss:{} acc:{}') >> Consume())nuts-ml is based on nuts-flow, which is described here.
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Release files for nutsml 1.2.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| nutsml-1.2.2.tar.gz | 1.2 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| nutsml-1.2.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 2.4 MB
Release files / nutsml-1.2.2.tar.gz
| Download URL | nutsml-1.2.2.tar.gz |
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| Size | 1.2 MB |
| Tags | Source |
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Release files / nutsml-1.2.2-py3-none-any.whl
| Download URL | nutsml-1.2.2-py3-none-any.whl |
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| Size | 1.2 MB |
| Tags | Python 3 |
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twine/3.2.0 pkginfo/1.6.1 requests/2.24.0 setuptools/50.3.1.post20201107 requests-toolbelt/0.9.1 tqdm/4.51.0 CPython/3.8.5
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