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.dev20200711052546-cp38-cp38-win_amd64.whl (904.9 kB view details)

Uploaded CPython 3.8Windows x86-64

tfa_nightly-0.11.0.dev20200711052546-cp38-cp38-manylinux2010_x86_64.whl (1.1 MB view details)

Uploaded CPython 3.8manylinux: glibc 2.12+ x86-64

tfa_nightly-0.11.0.dev20200711052546-cp38-cp38-macosx_10_13_x86_64.whl (599.4 kB view details)

Uploaded CPython 3.8macOS 10.13+ x86-64

tfa_nightly-0.11.0.dev20200711052546-cp37-cp37m-win_amd64.whl (904.8 kB view details)

Uploaded CPython 3.7mWindows x86-64

tfa_nightly-0.11.0.dev20200711052546-cp37-cp37m-manylinux2010_x86_64.whl (1.1 MB view details)

Uploaded CPython 3.7mmanylinux: glibc 2.12+ x86-64

tfa_nightly-0.11.0.dev20200711052546-cp37-cp37m-macosx_10_13_x86_64.whl (599.4 kB view details)

Uploaded CPython 3.7mmacOS 10.13+ x86-64

tfa_nightly-0.11.0.dev20200711052546-cp36-cp36m-win_amd64.whl (904.8 kB view details)

Uploaded CPython 3.6mWindows x86-64

tfa_nightly-0.11.0.dev20200711052546-cp36-cp36m-manylinux2010_x86_64.whl (1.1 MB view details)

Uploaded CPython 3.6mmanylinux: glibc 2.12+ x86-64

tfa_nightly-0.11.0.dev20200711052546-cp36-cp36m-macosx_10_13_x86_64.whl (599.4 kB view details)

Uploaded CPython 3.6mmacOS 10.13+ x86-64

tfa_nightly-0.11.0.dev20200711052546-cp35-cp35m-win_amd64.whl (904.8 kB view details)

Uploaded CPython 3.5mWindows x86-64

tfa_nightly-0.11.0.dev20200711052546-cp35-cp35m-manylinux2010_x86_64.whl (1.1 MB view details)

Uploaded CPython 3.5mmanylinux: glibc 2.12+ x86-64

tfa_nightly-0.11.0.dev20200711052546-cp35-cp35m-macosx_10_13_x86_64.whl (599.4 kB view details)

Uploaded CPython 3.5mmacOS 10.13+ x86-64

File details

Details for the file tfa_nightly-0.11.0.dev20200711052546-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.11.0.dev20200711052546-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 904.9 kB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: 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

File hashes

Hashes for tfa_nightly-0.11.0.dev20200711052546-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 88b49517bc9f9cc236c4890cf3364fea04c4470fdbdf68ec6365a45764bbd457
MD5 ef36ada62ff185a9422134a46b706586
BLAKE2b-256 77c8ef389969adc4a10126a3ea34051b2332844debf6c3629b10b436eef00db7

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.11.0.dev20200711052546-cp38-cp38-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.11.0.dev20200711052546-cp38-cp38-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 fd32ea3313b1b56e99f417d1fa6180de956f7992d7c645dc4a053cd40a07a1bf
MD5 55f95d9810cf22446f5fce04c25df2ff
BLAKE2b-256 2528df72b85f4c77308b69b540d04fc7ddc3c27fae4ffc53be1ce495df61a616

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.11.0.dev20200711052546-cp38-cp38-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.11.0.dev20200711052546-cp38-cp38-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 cc136136bdccd49ae87a5d8c3a5788ded10eaddb7f15ea2b90cd0c0007b1564b
MD5 7391e81b45cc0aea572611252e473c37
BLAKE2b-256 532e9510b26e1fcd501bec3cd0b3efed8437afcba115cf3505eeaa3050f0896c

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.11.0.dev20200711052546-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.11.0.dev20200711052546-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 904.8 kB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: 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

File hashes

Hashes for tfa_nightly-0.11.0.dev20200711052546-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 ac5afc4e0be4cc3b3760927845bd063a59cfc926bd11273cbccf5451c9552bf0
MD5 667d53e9406dd0d3df6e0a6315b5f392
BLAKE2b-256 dd3a25af60ba7a87f33343099627e922c9b6642caa81761503f1ea4e0cdb0dcd

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.11.0.dev20200711052546-cp37-cp37m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.11.0.dev20200711052546-cp37-cp37m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 0fc311c697314261e444998547bcdfce248e46b087f42cebdc72250d5898057c
MD5 298120ccc9b2aaa2bc1641a9272b8513
BLAKE2b-256 e7aa71adb9b601c2f4afc1a68d5bc6bb59d0a3182cb2acb42bf7f61b769970c3

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.11.0.dev20200711052546-cp37-cp37m-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.11.0.dev20200711052546-cp37-cp37m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 a62f2f1aa8d24d6c3013dcf2dcaa9db23626a7d5919bc6dd07a74ba285d0077e
MD5 8b1eaa88e753c355cf6ff4194d4c1c44
BLAKE2b-256 bb010fcf4319735199d702c274d362a0815d9daaadf7a79c00e43fcc39924070

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.11.0.dev20200711052546-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.11.0.dev20200711052546-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 904.8 kB
  • Tags: CPython 3.6m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: 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

File hashes

Hashes for tfa_nightly-0.11.0.dev20200711052546-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 328124332d0d245d04c33568a08c7ea5130e27ca9af8a39a6225147029434b50
MD5 cf929e2c129ecc558f24c0582d10a063
BLAKE2b-256 9ef41467096a1e94fd5d040f8bb97158d8626ce3aa9b2ab24c221f8c925f6652

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.11.0.dev20200711052546-cp36-cp36m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.11.0.dev20200711052546-cp36-cp36m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 8bcaf48d4d3e1105cc7078ac42150417eb2b3af3083537c13b5d9df3fb5c10fd
MD5 8e222fc77ec14dafb1f68ccacf9266cc
BLAKE2b-256 ff3a32a8f780b49b10f3c684806becc68e44284db0266b52fd2d161ccab713bf

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.11.0.dev20200711052546-cp36-cp36m-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.11.0.dev20200711052546-cp36-cp36m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 fc0f326d0873200898f950c354162013a55c44f8156c2ee302748d0541670e9d
MD5 a68a1050512fdb9fb5494f33ae3bba09
BLAKE2b-256 e7ebd2bbe9c5f0d2ccb450cbc33a4cbd67f5e58caf64a0d668c1a0106f6e9564

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.11.0.dev20200711052546-cp35-cp35m-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.11.0.dev20200711052546-cp35-cp35m-win_amd64.whl
  • Upload date:
  • Size: 904.8 kB
  • Tags: CPython 3.5m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: 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

File hashes

Hashes for tfa_nightly-0.11.0.dev20200711052546-cp35-cp35m-win_amd64.whl
Algorithm Hash digest
SHA256 c0ffa776812209247bf6da68ba663068ba70e32333caae17b2dfc15f217bd3a2
MD5 eb93b052167f2219b8ca1be5e4a82074
BLAKE2b-256 629d3730d605be886214def58c389fb7b74f03f29d84c8d964871efe326f6775

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.11.0.dev20200711052546-cp35-cp35m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.11.0.dev20200711052546-cp35-cp35m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 d74f92963f5b4c16d2964fc3816aeb5bb76af603f2b899893df84d420e03833f
MD5 9278082791d438a60df5c3af8a34b4c0
BLAKE2b-256 08ee93e10c9f27089bbcb0d8f55023d7e2450af338ea8655f51f44f4c41c0c7f

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.11.0.dev20200711052546-cp35-cp35m-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.11.0.dev20200711052546-cp35-cp35m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 76e24c4b3875e02cc80091ba5ce096ec7d1d40f1364f677e2f956bbe94f7e5c8
MD5 b9df0d817c708cacdcebb160e2646892
BLAKE2b-256 0a65d0a26ffcc18ff4a25daa1da57250b4cc86437288c1d65a110e4ac837ad99

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