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.dev20201223194807-cp38-cp38-win_amd64.whl (642.3 kB view details)

Uploaded CPython 3.8Windows x86-64

tfa_nightly-0.13.0.dev20201223194807-cp38-cp38-manylinux2010_x86_64.whl (703.5 kB view details)

Uploaded CPython 3.8manylinux: glibc 2.12+ x86-64

tfa_nightly-0.13.0.dev20201223194807-cp38-cp38-macosx_10_13_x86_64.whl (518.4 kB view details)

Uploaded CPython 3.8macOS 10.13+ x86-64

tfa_nightly-0.13.0.dev20201223194807-cp37-cp37m-win_amd64.whl (642.3 kB view details)

Uploaded CPython 3.7mWindows x86-64

tfa_nightly-0.13.0.dev20201223194807-cp37-cp37m-manylinux2010_x86_64.whl (703.5 kB view details)

Uploaded CPython 3.7mmanylinux: glibc 2.12+ x86-64

tfa_nightly-0.13.0.dev20201223194807-cp37-cp37m-macosx_10_13_x86_64.whl (518.4 kB view details)

Uploaded CPython 3.7mmacOS 10.13+ x86-64

tfa_nightly-0.13.0.dev20201223194807-cp36-cp36m-win_amd64.whl (642.3 kB view details)

Uploaded CPython 3.6mWindows x86-64

tfa_nightly-0.13.0.dev20201223194807-cp36-cp36m-manylinux2010_x86_64.whl (703.5 kB view details)

Uploaded CPython 3.6mmanylinux: glibc 2.12+ x86-64

tfa_nightly-0.13.0.dev20201223194807-cp36-cp36m-macosx_10_13_x86_64.whl (518.4 kB view details)

Uploaded CPython 3.6mmacOS 10.13+ x86-64

File details

Details for the file tfa_nightly-0.13.0.dev20201223194807-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.13.0.dev20201223194807-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 642.3 kB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.6.1 requests/2.25.1 setuptools/51.0.0 requests-toolbelt/0.9.1 tqdm/4.54.1 CPython/3.7.9

File hashes

Hashes for tfa_nightly-0.13.0.dev20201223194807-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 aa189adec0c040f168ab5c5a73f55e48d76242d9190ad24d18ea09331f027bee
MD5 cd61ce47007340ea0ac4d9e6c645243f
BLAKE2b-256 ac488f98d8c706f4c767d2145ff346e92b9be7a1148b03d09bb336d66fad9753

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.13.0.dev20201223194807-cp38-cp38-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.13.0.dev20201223194807-cp38-cp38-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 c7d4b91432773d068b581018fb19469d6e5fe9868d9af1e1ea79979cf113cdeb
MD5 6cfd2c7a5180232f4eec335e3a2684a4
BLAKE2b-256 9e7e8c17dc5b7844022cf31197888694a5888f29553248ba41331da63d7501a2

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.13.0.dev20201223194807-cp38-cp38-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.13.0.dev20201223194807-cp38-cp38-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 833545aee83d41df558999907eacbad8ebb4d017c1d51dc59c3fe3cc28e401f1
MD5 2a6bf821e2d064befa566d3774d29f31
BLAKE2b-256 5f4b4763373fd1f7d0abc7399ab4b5b2a79c75f6669cc5552b1df2fed24ebd25

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.13.0.dev20201223194807-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.13.0.dev20201223194807-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 642.3 kB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.6.1 requests/2.25.1 setuptools/51.0.0 requests-toolbelt/0.9.1 tqdm/4.54.1 CPython/3.7.9

File hashes

Hashes for tfa_nightly-0.13.0.dev20201223194807-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 4621ddf5e599b566a026954f0e070f043a621df7a61b1273107027c41de3c42f
MD5 34e346b99e500034073f0ef7f9548642
BLAKE2b-256 095a77eee8eba5ddc9d012fed812963c052b69a8d9eb44bce7a76eb564070492

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.13.0.dev20201223194807-cp37-cp37m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.13.0.dev20201223194807-cp37-cp37m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 2708614a58bedce3adcd37662ae50483194f0c2fe2099e13fbc8d69dbfdde168
MD5 c622591d160fd861680b076b6b25716f
BLAKE2b-256 7635c656b581dd2cb957ff1df7a86ddd91166eab5be570d61c10227510dfebfd

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.13.0.dev20201223194807-cp37-cp37m-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.13.0.dev20201223194807-cp37-cp37m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 37acbdd2ecd9168173cb2be17cf82d61f35f4eb9c3c07efd4ea7e2f233e67f0b
MD5 4a7cfc91421f8e81a535cabda8f29728
BLAKE2b-256 08819b6dd6ce05cb9724a18ba180fecdaecd364aa092e2d60de2b251ac437be1

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.13.0.dev20201223194807-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.13.0.dev20201223194807-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 642.3 kB
  • Tags: CPython 3.6m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.6.1 requests/2.25.1 setuptools/51.0.0 requests-toolbelt/0.9.1 tqdm/4.54.1 CPython/3.7.9

File hashes

Hashes for tfa_nightly-0.13.0.dev20201223194807-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 580ee61cc572e00ef486a04a6c7da2a8737eae22bced9edaa3cc33d29d6b2f17
MD5 dd0daa3e0585e4b88008464c7c05f8ec
BLAKE2b-256 8e95a50ee4cddb19fa6d175eb7bdeb1756cc70e98bc31e33d27b63a9dc4bfd02

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.13.0.dev20201223194807-cp36-cp36m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.13.0.dev20201223194807-cp36-cp36m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 f3c475cad50bb33e5d2401d04047ca68a325ac7cb3b248a52e95dfd9952f3f4a
MD5 a03fd2ae1c4e67f2083522fd98aad22a
BLAKE2b-256 c084be7762d350b987167f446d897f119044d0ae1e2de0ff9d4d6f714e79aade

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.13.0.dev20201223194807-cp36-cp36m-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.13.0.dev20201223194807-cp36-cp36m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 c9b858150aa01ae386fa715ae63ae30115439bd3f6137ba922b05d988584666d
MD5 c572fe57cabaaf5e1f8629af74265f19
BLAKE2b-256 a1c8fd5ecc43a0b95bbe1f61bffd2fe314af5d43728f1d1f907d08a3f96968bd

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