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TensorFlow Addons is a repository of contributions that conform to well- established API patterns, but implement new functionality not available in core TensorFlow. TensorFlow natively supports a large number of operators, layers, metrics, losses, and optimizers. However, in a fast moving field like ML, there are many interesting new developments that cannot be integrated into core TensorFlow (because their broad applicability is not yet clear, or it is mostly used by a smaller subset of the community).
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Release files for tfa-nightly 0.11.0.dev20200708161345
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Total release size: 10.4 MB
Release files / tfa_nightly-0.11.0.dev20200708161345-cp38-cp38-win_amd64.whl
| Download URL | tfa_nightly-0.11.0.dev20200708161345-cp38-cp38-win_amd64.whl |
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Release files / tfa_nightly-0.11.0.dev20200708161345-cp38-cp38-manylinux2010_x86_64.whl
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Release files / tfa_nightly-0.11.0.dev20200708161345-cp38-cp38-macosx_10_13_x86_64.whl
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Release files / tfa_nightly-0.11.0.dev20200708161345-cp37-cp37m-win_amd64.whl
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Release files / tfa_nightly-0.11.0.dev20200708161345-cp37-cp37m-manylinux2010_x86_64.whl
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Release files / tfa_nightly-0.11.0.dev20200708161345-cp37-cp37m-macosx_10_13_x86_64.whl
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Release files / tfa_nightly-0.11.0.dev20200708161345-cp36-cp36m-win_amd64.whl
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Release files / tfa_nightly-0.11.0.dev20200708161345-cp36-cp36m-manylinux2010_x86_64.whl
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Release files / tfa_nightly-0.11.0.dev20200708161345-cp36-cp36m-macosx_10_13_x86_64.whl
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Release files / tfa_nightly-0.11.0.dev20200708161345-cp35-cp35m-win_amd64.whl
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Release files / tfa_nightly-0.11.0.dev20200708161345-cp35-cp35m-manylinux2010_x86_64.whl
| Download URL | tfa_nightly-0.11.0.dev20200708161345-cp35-cp35m-manylinux2010_x86_64.whl |
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| Size | 1.1 MB |
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Release files / tfa_nightly-0.11.0.dev20200708161345-cp35-cp35m-macosx_10_13_x86_64.whl
| Download URL | tfa_nightly-0.11.0.dev20200708161345-cp35-cp35m-macosx_10_13_x86_64.whl |
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| Size | 599.7 kB |
| Tags | CPython 3.5 CPython 3.5 pymalloc macOS 10.13+ x86-64 |
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twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/47.3.1 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.7.8
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