Skip to main content

TensorFlow Addons.

Project description

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).

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

tfa_nightly-0.7.0.dev20191217-cp37-cp37m-manylinux2010_x86_64.whl (1.0 MB view details)

Uploaded CPython 3.7mmanylinux: glibc 2.12+ x86-64

tfa_nightly-0.7.0.dev20191217-cp37-cp37m-macosx_10_13_x86_64.whl (536.5 kB view details)

Uploaded CPython 3.7mmacOS 10.13+ x86-64

tfa_nightly-0.7.0.dev20191217-cp36-cp36m-manylinux2010_x86_64.whl (1.0 MB view details)

Uploaded CPython 3.6mmanylinux: glibc 2.12+ x86-64

tfa_nightly-0.7.0.dev20191217-cp36-cp36m-macosx_10_13_x86_64.whl (536.5 kB view details)

Uploaded CPython 3.6mmacOS 10.13+ x86-64

tfa_nightly-0.7.0.dev20191217-cp35-cp35m-manylinux2010_x86_64.whl (1.0 MB view details)

Uploaded CPython 3.5mmanylinux: glibc 2.12+ x86-64

tfa_nightly-0.7.0.dev20191217-cp35-cp35m-macosx_10_13_x86_64.whl (536.5 kB view details)

Uploaded CPython 3.5mmacOS 10.13+ x86-64

tfa_nightly-0.7.0.dev20191217-cp27-cp27mu-manylinux2010_x86_64.whl (1.0 MB view details)

Uploaded CPython 2.7mumanylinux: glibc 2.12+ x86-64

tfa_nightly-0.7.0.dev20191217-cp27-cp27m-macosx_10_13_x86_64.whl (536.5 kB view details)

Uploaded CPython 2.7mmacOS 10.13+ x86-64

File details

Details for the file tfa_nightly-0.7.0.dev20191217-cp37-cp37m-manylinux2010_x86_64.whl.

File metadata

  • Download URL: tfa_nightly-0.7.0.dev20191217-cp37-cp37m-manylinux2010_x86_64.whl
  • Upload date:
  • Size: 1.0 MB
  • Tags: CPython 3.7m, manylinux: glibc 2.12+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/42.0.2 requests-toolbelt/0.9.1 tqdm/4.40.2 CPython/2.7.12

File hashes

Hashes for tfa_nightly-0.7.0.dev20191217-cp37-cp37m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 12ad6e74ddf64fd92873eb6cb1d054ba29597c643d2cecab641ce934a6d4eec5
MD5 22c3b5e4e007687c026050ff4988d2a2
BLAKE2b-256 dfc64b5d8e7d88b56256b3928776bbc2cd74c02667e10870feee210f2982b05f

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.7.0.dev20191217-cp37-cp37m-macosx_10_13_x86_64.whl.

File metadata

  • Download URL: tfa_nightly-0.7.0.dev20191217-cp37-cp37m-macosx_10_13_x86_64.whl
  • Upload date:
  • Size: 536.5 kB
  • Tags: CPython 3.7m, macOS 10.13+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/42.0.2 requests-toolbelt/0.9.1 tqdm/4.40.2 CPython/2.7.17

File hashes

Hashes for tfa_nightly-0.7.0.dev20191217-cp37-cp37m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 7a30ccaf31ff41954560ab3cf8e6d5a96ac693f793c95d8ecce961205d45acc0
MD5 b929ff57d9337b57276770a2736a7e0c
BLAKE2b-256 cd65ed08be09435231bdec6e9adde469e58e0d63437dd979928e5a9113ddf4b2

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.7.0.dev20191217-cp36-cp36m-manylinux2010_x86_64.whl.

File metadata

  • Download URL: tfa_nightly-0.7.0.dev20191217-cp36-cp36m-manylinux2010_x86_64.whl
  • Upload date:
  • Size: 1.0 MB
  • Tags: CPython 3.6m, manylinux: glibc 2.12+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/42.0.2 requests-toolbelt/0.9.1 tqdm/4.40.2 CPython/2.7.12

File hashes

Hashes for tfa_nightly-0.7.0.dev20191217-cp36-cp36m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 7a487afa932b5641ec51badb401ff5335c7c075290425a518d9ba016c92549a6
MD5 82ed092382065c521d9923fe0e2fb323
BLAKE2b-256 e4e364124c5c96846c64a133fc1d1dda5844098b0cbbddcd43e6879fe3d46333

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.7.0.dev20191217-cp36-cp36m-macosx_10_13_x86_64.whl.

File metadata

  • Download URL: tfa_nightly-0.7.0.dev20191217-cp36-cp36m-macosx_10_13_x86_64.whl
  • Upload date:
  • Size: 536.5 kB
  • Tags: CPython 3.6m, macOS 10.13+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/42.0.2 requests-toolbelt/0.9.1 tqdm/4.40.2 CPython/2.7.17

File hashes

Hashes for tfa_nightly-0.7.0.dev20191217-cp36-cp36m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 4c72727eb08b73bf7926c5b9be9d5d44681ec1eb7b82311f3cfb7eef5039955a
MD5 1fd77f5703b077f1d002b88800ebc25b
BLAKE2b-256 18aa062f58831ac53010af9a9fb34227c3066fd01d610d9db9a564d0e3094a1d

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.7.0.dev20191217-cp35-cp35m-manylinux2010_x86_64.whl.

File metadata

  • Download URL: tfa_nightly-0.7.0.dev20191217-cp35-cp35m-manylinux2010_x86_64.whl
  • Upload date:
  • Size: 1.0 MB
  • Tags: CPython 3.5m, manylinux: glibc 2.12+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/42.0.2 requests-toolbelt/0.9.1 tqdm/4.40.2 CPython/2.7.12

File hashes

Hashes for tfa_nightly-0.7.0.dev20191217-cp35-cp35m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 71e2bbf09775def8f10269c2d8b4cb8d85112bdc8c017dbc3ca1a4b9f01b33fb
MD5 a924ee570b083e196178cfb90c77a52d
BLAKE2b-256 640484edaf1f85be8acfb780825f9d5d27089bb4f9bca1abb0e97f21f9add24b

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.7.0.dev20191217-cp35-cp35m-macosx_10_13_x86_64.whl.

File metadata

  • Download URL: tfa_nightly-0.7.0.dev20191217-cp35-cp35m-macosx_10_13_x86_64.whl
  • Upload date:
  • Size: 536.5 kB
  • Tags: CPython 3.5m, macOS 10.13+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/42.0.2 requests-toolbelt/0.9.1 tqdm/4.40.2 CPython/2.7.17

File hashes

Hashes for tfa_nightly-0.7.0.dev20191217-cp35-cp35m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 e334511d52c61fd134f98c18b6cc4f9ed97a20ed656bfb27d16f8dfe7d66dfcf
MD5 7a2adc9188c76ce725d736962690eecf
BLAKE2b-256 510f3bcbed8730e9a15190c0d8763b8aa80147be6c7fb534d33cc96005d00b56

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.7.0.dev20191217-cp27-cp27mu-manylinux2010_x86_64.whl.

File metadata

  • Download URL: tfa_nightly-0.7.0.dev20191217-cp27-cp27mu-manylinux2010_x86_64.whl
  • Upload date:
  • Size: 1.0 MB
  • Tags: CPython 2.7mu, manylinux: glibc 2.12+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/42.0.2 requests-toolbelt/0.9.1 tqdm/4.40.2 CPython/2.7.12

File hashes

Hashes for tfa_nightly-0.7.0.dev20191217-cp27-cp27mu-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 b166055260f9ad8ec3f881ddac37fcf21f0cab83b5f7bf9d493e2d1d2804c1d0
MD5 b201e12f12266a2e9037570e6dcec2b3
BLAKE2b-256 5c3c4342122d33c65edc81b55ce38108d1442518ef108a5160dd7cb73eb69967

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.7.0.dev20191217-cp27-cp27m-macosx_10_13_x86_64.whl.

File metadata

  • Download URL: tfa_nightly-0.7.0.dev20191217-cp27-cp27m-macosx_10_13_x86_64.whl
  • Upload date:
  • Size: 536.5 kB
  • Tags: CPython 2.7m, macOS 10.13+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/42.0.2 requests-toolbelt/0.9.1 tqdm/4.40.2 CPython/2.7.17

File hashes

Hashes for tfa_nightly-0.7.0.dev20191217-cp27-cp27m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 eee433d724c5996421a7195d96cbfe113e1ac57db53724e9117501e554c16b36
MD5 6f636c5c9070a327bf32397f43103dbf
BLAKE2b-256 75afa77fc7667ea75df7f935e0f17a5e86f880717892cc9e07780657ca95ccbc

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page