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-0.11.0.dev20200515064444-cp38-cp38-win_amd64.whl (893.3 kB view details)

Uploaded CPython 3.8Windows x86-64

tfa_nightly-0.11.0.dev20200515064444-cp38-cp38-manylinux2010_x86_64.whl (1.0 MB view details)

Uploaded CPython 3.8manylinux: glibc 2.12+ x86-64

tfa_nightly-0.11.0.dev20200515064444-cp38-cp38-macosx_10_13_x86_64.whl (588.1 kB view details)

Uploaded CPython 3.8macOS 10.13+ x86-64

tfa_nightly-0.11.0.dev20200515064444-cp37-cp37m-win_amd64.whl (893.3 kB view details)

Uploaded CPython 3.7mWindows x86-64

tfa_nightly-0.11.0.dev20200515064444-cp37-cp37m-manylinux2010_x86_64.whl (1.0 MB view details)

Uploaded CPython 3.7mmanylinux: glibc 2.12+ x86-64

tfa_nightly-0.11.0.dev20200515064444-cp37-cp37m-macosx_10_13_x86_64.whl (588.1 kB view details)

Uploaded CPython 3.7mmacOS 10.13+ x86-64

tfa_nightly-0.11.0.dev20200515064444-cp36-cp36m-win_amd64.whl (893.3 kB view details)

Uploaded CPython 3.6mWindows x86-64

tfa_nightly-0.11.0.dev20200515064444-cp36-cp36m-manylinux2010_x86_64.whl (1.0 MB view details)

Uploaded CPython 3.6mmanylinux: glibc 2.12+ x86-64

tfa_nightly-0.11.0.dev20200515064444-cp36-cp36m-macosx_10_13_x86_64.whl (588.1 kB view details)

Uploaded CPython 3.6mmacOS 10.13+ x86-64

tfa_nightly-0.11.0.dev20200515064444-cp35-cp35m-win_amd64.whl (893.3 kB view details)

Uploaded CPython 3.5mWindows x86-64

tfa_nightly-0.11.0.dev20200515064444-cp35-cp35m-manylinux2010_x86_64.whl (1.0 MB view details)

Uploaded CPython 3.5mmanylinux: glibc 2.12+ x86-64

tfa_nightly-0.11.0.dev20200515064444-cp35-cp35m-macosx_10_13_x86_64.whl (588.1 kB view details)

Uploaded CPython 3.5mmacOS 10.13+ x86-64

File details

Details for the file tfa_nightly-0.11.0.dev20200515064444-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.11.0.dev20200515064444-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 893.3 kB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.3.0 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.7.7

File hashes

Hashes for tfa_nightly-0.11.0.dev20200515064444-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 0909abfe77f23c81845abb3d15b2ae712f2c126cc3225d955962e405246941d0
MD5 d7c2c72b1a1d07f8a264b505f259e9d8
BLAKE2b-256 7f66f20f0e71ed1a8efd141f9d51cb260b68b6ac98ed3ebaa8084dcd8c31b37a

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.11.0.dev20200515064444-cp38-cp38-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.11.0.dev20200515064444-cp38-cp38-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 962d9087cb25f3165d071c929a842c787bcaffe740f2f5a596f08e7b81fcc066
MD5 e0799196a160b97328926aba608d1a3d
BLAKE2b-256 cbf81ea2885784c2e568172155c7105dfbbeb50d347c19522a4c1c914ae00460

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.11.0.dev20200515064444-cp38-cp38-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.11.0.dev20200515064444-cp38-cp38-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 8037fd38a447e910c06b9e4792f9f1bdc811f73760d35aa45e0bf028a839964f
MD5 e6e7105525afad02b617ca56bbe66863
BLAKE2b-256 8e30abace4ea1c949bcffbdf087003c2f5ab7aaf4720a23bb890caed5c1b861b

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.11.0.dev20200515064444-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.11.0.dev20200515064444-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 893.3 kB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.3.0 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.7.7

File hashes

Hashes for tfa_nightly-0.11.0.dev20200515064444-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 5357844c7ca961de0f7b1741759baa059b25bbc1ddbca8de94be331f302afc2a
MD5 a5ac18b1204e4d8e5562c4ed3235af44
BLAKE2b-256 60a4ea6655c4d8b92ed44ec8254a09545371a337eb7e0711aecaafc0a2149104

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.11.0.dev20200515064444-cp37-cp37m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.11.0.dev20200515064444-cp37-cp37m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 02e81c17ab044962e7a907d4344f9ce110940eb6c669d795c81822cd0e2011ab
MD5 4cdfbb7a28eb1c6d61ecb19e5a25f7f5
BLAKE2b-256 f3314aba36ef49e7c6ced68a01185c172446a97f581f428441d6a0fe16ae1171

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.11.0.dev20200515064444-cp37-cp37m-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.11.0.dev20200515064444-cp37-cp37m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 b83e79a66e71bdfbc9e783a7465516f4d5d88018966fd92569ca42cb50b658a1
MD5 eedb1ec07bbe7c55c1d7504863f5a5f7
BLAKE2b-256 11a8e569c85359d88e9d8528df6d0c4d14f2aa95d8dab784d6fd7f15c850eb96

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.11.0.dev20200515064444-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.11.0.dev20200515064444-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 893.3 kB
  • Tags: CPython 3.6m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.3.0 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.7.7

File hashes

Hashes for tfa_nightly-0.11.0.dev20200515064444-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 6c78af8572a68d488d36f570fa456825c258d907c5078dbead65022cd6ca50f0
MD5 b0bc3db4d7ac9098288f8d75884e1827
BLAKE2b-256 e1a7b24ad35713040b53a30e63f6254f50b984d7fac9d9aab50616cb1f8fa0d3

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.11.0.dev20200515064444-cp36-cp36m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.11.0.dev20200515064444-cp36-cp36m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 3728e12b2da819fbbbf8b03e134b2d192d8cd4426f29ba694f3138ae36e43bc1
MD5 a1d66d4fa96dadcab131ab7086821e11
BLAKE2b-256 7c9c53492a6c9d4cf9aa39c94935d0dd47028319dba81060b2090de5e69b00c9

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.11.0.dev20200515064444-cp36-cp36m-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.11.0.dev20200515064444-cp36-cp36m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 83ceecc21fd0112d0359cabc7102040889f6f8e64a80c445a1e9d343325a132c
MD5 3904d9ee4b68c0643ae44fb7afc574ef
BLAKE2b-256 7c9eb72ea53a7d0ea6d4b5d411c66b10d03129719fe1cb52d5d4534cbaebf6fb

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.11.0.dev20200515064444-cp35-cp35m-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.11.0.dev20200515064444-cp35-cp35m-win_amd64.whl
  • Upload date:
  • Size: 893.3 kB
  • Tags: CPython 3.5m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.3.0 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.7.7

File hashes

Hashes for tfa_nightly-0.11.0.dev20200515064444-cp35-cp35m-win_amd64.whl
Algorithm Hash digest
SHA256 f0303ba66168f182d98ca42053fa80d2ce65d1b913774fe549255579dca3d12e
MD5 59edc017879b247627b46083f785f651
BLAKE2b-256 ea2cea798fd16964a0862111d40c52baeaa687d150619a440567c2841bddc21f

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.11.0.dev20200515064444-cp35-cp35m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.11.0.dev20200515064444-cp35-cp35m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 aba32d437c4b96fd5808b482bfd8a7a9a82964dbd287ffeaf6d46eff69941feb
MD5 002d055bb66788537c748fb483f4190d
BLAKE2b-256 96781d3ed9b1405ea1b117339d32b728939a5607267f49da83627507c1e20907

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.11.0.dev20200515064444-cp35-cp35m-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.11.0.dev20200515064444-cp35-cp35m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 c0115209945eac0d4b21e02094543de8126c991dfcf2767537a6348527fd097d
MD5 e9c42ae36ba39005a8439dbf710ea9af
BLAKE2b-256 a4b3db16e2678ed8a82f5392d7fa7caa59d345c13026685200b0528c017a9260

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