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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 0.5.0.dev20190716

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Table of built distributions (wheels) for tfa-nightly 0.5.0.dev20190716
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tfa_nightly-0.5.0.dev20190716-cp36-cp36m-manylinux1_x86_64.whl CPython 3.6 CPython 3.6 pymalloc Linux glibc 2.5+ x86-64 Details for tfa_nightly-0.5.0.dev20190716-cp36-cp36m-manylinux1_x86_64.whl
tfa_nightly-0.5.0.dev20190716-cp35-cp35m-manylinux1_x86_64.whl CPython 3.5 CPython 3.5 pymalloc Linux glibc 2.5+ x86-64 Details for tfa_nightly-0.5.0.dev20190716-cp35-cp35m-manylinux1_x86_64.whl
tfa_nightly-0.5.0.dev20190716-cp34-cp34m-manylinux1_x86_64.whl CPython 3.4 CPython 3.4 pymalloc Linux glibc 2.5+ x86-64 Details for tfa_nightly-0.5.0.dev20190716-cp34-cp34m-manylinux1_x86_64.whl
tfa_nightly-0.5.0.dev20190716-cp27-cp27mu-manylinux1_x86_64.whl CPython 2.7 CPython 2.7 pymalloc wide-unicode Linux glibc 2.5+ x86-64 Details for tfa_nightly-0.5.0.dev20190716-cp27-cp27mu-manylinux1_x86_64.whl

Total release size: 2.2 MB

Release files / tfa_nightly-0.5.0.dev20190716-cp36-cp36m-manylinux1_x86_64.whl

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Release files / tfa_nightly-0.5.0.dev20190716-cp35-cp35m-manylinux1_x86_64.whl

Download URL tfa_nightly-0.5.0.dev20190716-cp35-cp35m-manylinux1_x86_64.whl
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Release files / tfa_nightly-0.5.0.dev20190716-cp34-cp34m-manylinux1_x86_64.whl

Download URL tfa_nightly-0.5.0.dev20190716-cp34-cp34m-manylinux1_x86_64.whl
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Release files / tfa_nightly-0.5.0.dev20190716-cp27-cp27mu-manylinux1_x86_64.whl

Download URL tfa_nightly-0.5.0.dev20190716-cp27-cp27mu-manylinux1_x86_64.whl
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