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-0.13.0.dev20210219045621-cp38-cp38-win_amd64.whl (610.5 kB view details)

Uploaded CPython 3.8Windows x86-64

tfa_nightly-0.13.0.dev20210219045621-cp38-cp38-manylinux2010_x86_64.whl (640.6 kB view details)

Uploaded CPython 3.8manylinux: glibc 2.12+ x86-64

tfa_nightly-0.13.0.dev20210219045621-cp38-cp38-macosx_10_13_x86_64.whl (491.7 kB view details)

Uploaded CPython 3.8macOS 10.13+ x86-64

tfa_nightly-0.13.0.dev20210219045621-cp37-cp37m-win_amd64.whl (610.5 kB view details)

Uploaded CPython 3.7mWindows x86-64

tfa_nightly-0.13.0.dev20210219045621-cp37-cp37m-manylinux2010_x86_64.whl (640.6 kB view details)

Uploaded CPython 3.7mmanylinux: glibc 2.12+ x86-64

tfa_nightly-0.13.0.dev20210219045621-cp37-cp37m-macosx_10_13_x86_64.whl (491.7 kB view details)

Uploaded CPython 3.7mmacOS 10.13+ x86-64

tfa_nightly-0.13.0.dev20210219045621-cp36-cp36m-win_amd64.whl (610.5 kB view details)

Uploaded CPython 3.6mWindows x86-64

tfa_nightly-0.13.0.dev20210219045621-cp36-cp36m-manylinux2010_x86_64.whl (640.6 kB view details)

Uploaded CPython 3.6mmanylinux: glibc 2.12+ x86-64

tfa_nightly-0.13.0.dev20210219045621-cp36-cp36m-macosx_10_13_x86_64.whl (491.7 kB view details)

Uploaded CPython 3.6mmacOS 10.13+ x86-64

File details

Details for the file tfa_nightly-0.13.0.dev20210219045621-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.13.0.dev20210219045621-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 610.5 kB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/53.0.0 requests-toolbelt/0.9.1 tqdm/4.57.0 CPython/3.7.10

File hashes

Hashes for tfa_nightly-0.13.0.dev20210219045621-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 2bbce0ed75d36f5767cbcf25eeabb8024717f10c13de1ebe039479f5cc06f7bb
MD5 2b31ed4d960e00615ad04829687974d4
BLAKE2b-256 1f90240367c60e62c84db94c212f83ac4903415bac9c9a20c274b21bff432482

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.13.0.dev20210219045621-cp38-cp38-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.13.0.dev20210219045621-cp38-cp38-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 42a98de3328dd028193c9283c4ad9dcbeb79fd05cbc4e6b3579357e84499439a
MD5 1bc068fa633f529247fa76e54fe4215d
BLAKE2b-256 165bc944b8b8709d233d43f09d0570ea1a722fc0b896233aee605083c5f2162a

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.13.0.dev20210219045621-cp38-cp38-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.13.0.dev20210219045621-cp38-cp38-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 25874c057496dc4198eea10fa5e93fa6173e95325f7c350cc6d427219f82fe56
MD5 ef7ed510d70b33e5392201d3d472a76e
BLAKE2b-256 a1f609325d42a027682a86b63516b34a70e16ef50227d6333120a5af4df85a19

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.13.0.dev20210219045621-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.13.0.dev20210219045621-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 610.5 kB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/53.0.0 requests-toolbelt/0.9.1 tqdm/4.57.0 CPython/3.7.10

File hashes

Hashes for tfa_nightly-0.13.0.dev20210219045621-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 babc021544fe7f997334d2479fcf03e017170f7838a25dcb501661d49862c411
MD5 1a950da9764480a0731c61a23a3449a7
BLAKE2b-256 28ad0b468ee716eba3f89fde66066d02a830ebadd5545d23f464de4e37cac094

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.13.0.dev20210219045621-cp37-cp37m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.13.0.dev20210219045621-cp37-cp37m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 4d849e8123297e029891ace1401e853261d491ae9b252d7fad4adddbaca5022e
MD5 311b637d28e586c210771ac57a79c2e9
BLAKE2b-256 b5b1be6da761f60402fd4340014e5f9f08c43d27667ef3c1d4208cbc3b3658c2

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.13.0.dev20210219045621-cp37-cp37m-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.13.0.dev20210219045621-cp37-cp37m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 31d9cb70feb53018f1bf60f7858c1c5552626a4edaa42cf3534f72db0a160465
MD5 295024df9792882292162d704d958494
BLAKE2b-256 ac19329bebf59d248a78a33d1ae1eb47aa1a1024a02ff4a2cb8e5152a2f236e9

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.13.0.dev20210219045621-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.13.0.dev20210219045621-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 610.5 kB
  • Tags: CPython 3.6m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/53.0.0 requests-toolbelt/0.9.1 tqdm/4.57.0 CPython/3.7.10

File hashes

Hashes for tfa_nightly-0.13.0.dev20210219045621-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 2916746b9165010b6bd7e072583936fffa55e46b5c02860ceb2a8ab785c2ab97
MD5 19ccc4fc79da13603ae1ca54491710e6
BLAKE2b-256 0ba0e053011a53a8d079ac975c597a10807ba5765f1c7676ee8511cb6613e858

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.13.0.dev20210219045621-cp36-cp36m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.13.0.dev20210219045621-cp36-cp36m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 207ab701f65e4c5557ede31bc4fc86f4aa8cf85ed752776bc2cbd6b4bbad9529
MD5 54005ce2ec83708d9217bc1eb1114c1c
BLAKE2b-256 0b8e71efb336c0ec07c7fc284becd3e0307ac2175c25680617f642945d76cf34

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.13.0.dev20210219045621-cp36-cp36m-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.13.0.dev20210219045621-cp36-cp36m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 a04737f0e7ed6d7a4d3d426f3820c4296781ca4fa28ebe6b72e4ede1c8204f6f
MD5 7799f6a88a64e7e7549a27959db886a7
BLAKE2b-256 be071021975fc947dc19725e9ff62e564ed40c1710015c4b5503c8241dc8b91f

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