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-0.9.0.dev20200302-cp37-cp37m-win_amd64.whl (840.0 kB view details)

Uploaded CPython 3.7mWindows x86-64

tfa_nightly-0.9.0.dev20200302-cp37-cp37m-manylinux2010_x86_64.whl (1.0 MB view details)

Uploaded CPython 3.7mmanylinux: glibc 2.12+ x86-64

tfa_nightly-0.9.0.dev20200302-cp37-cp37m-macosx_10_13_x86_64.whl (548.4 kB view details)

Uploaded CPython 3.7mmacOS 10.13+ x86-64

tfa_nightly-0.9.0.dev20200302-cp36-cp36m-win_amd64.whl (840.0 kB view details)

Uploaded CPython 3.6mWindows x86-64

tfa_nightly-0.9.0.dev20200302-cp36-cp36m-manylinux2010_x86_64.whl (1.0 MB view details)

Uploaded CPython 3.6mmanylinux: glibc 2.12+ x86-64

tfa_nightly-0.9.0.dev20200302-cp36-cp36m-macosx_10_13_x86_64.whl (548.4 kB view details)

Uploaded CPython 3.6mmacOS 10.13+ x86-64

tfa_nightly-0.9.0.dev20200302-cp35-cp35m-win_amd64.whl (840.0 kB view details)

Uploaded CPython 3.5mWindows x86-64

tfa_nightly-0.9.0.dev20200302-cp35-cp35m-manylinux2010_x86_64.whl (1.0 MB view details)

Uploaded CPython 3.5mmanylinux: glibc 2.12+ x86-64

tfa_nightly-0.9.0.dev20200302-cp35-cp35m-macosx_10_13_x86_64.whl (548.4 kB view details)

Uploaded CPython 3.5mmacOS 10.13+ x86-64

File details

Details for the file tfa_nightly-0.9.0.dev20200302-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.9.0.dev20200302-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 840.0 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/45.2.0 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.7.6

File hashes

Hashes for tfa_nightly-0.9.0.dev20200302-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 4cede02bbe41b7fe1955255edd7ccac6db767e5c1ef4078ea68dbf9d91c73c71
MD5 bde9ab9a1b624b035f278b903ffa00f9
BLAKE2b-256 f4647dedadfaed3d7500bd879d963e92a950676bcf181deecf719b66603b69f1

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.9.0.dev20200302-cp37-cp37m-manylinux2010_x86_64.whl.

File metadata

  • Download URL: tfa_nightly-0.9.0.dev20200302-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/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/45.2.0 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.7.6

File hashes

Hashes for tfa_nightly-0.9.0.dev20200302-cp37-cp37m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 1cdfa9208dc1b7ff85da9c76c36fbc4f039851e65ab33a3ba99179c58c600625
MD5 d5421f67453261c80b53f1fe645428a7
BLAKE2b-256 e519a1d22c56c4412134f1361d154cdbda596f9c2eb4bdcd8f887e7b35785141

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.9.0.dev20200302-cp37-cp37m-macosx_10_13_x86_64.whl.

File metadata

  • Download URL: tfa_nightly-0.9.0.dev20200302-cp37-cp37m-macosx_10_13_x86_64.whl
  • Upload date:
  • Size: 548.4 kB
  • Tags: CPython 3.7m, macOS 10.13+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/45.2.0 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.7.6

File hashes

Hashes for tfa_nightly-0.9.0.dev20200302-cp37-cp37m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 12c2c93945aa28054ff2a5c73adf1de3d03a6579e18430fe691f84769de86a1b
MD5 a1c81973cd2f33615accce25b8bdfbef
BLAKE2b-256 427c809381053429fef10549adadf9cab7f24727865e25906c5396a243ce6104

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.9.0.dev20200302-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.9.0.dev20200302-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 840.0 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/45.2.0 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.7.6

File hashes

Hashes for tfa_nightly-0.9.0.dev20200302-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 76a744e2b42907c2c9a2a5d8043011518c1561b747c5445f842193add80cf617
MD5 09a101eb1a77e2a28d8e08d461647398
BLAKE2b-256 e180b5539e762005d7d68d6f8e86cdefc40c5fa543d9687af1fe8a94370b5107

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.9.0.dev20200302-cp36-cp36m-manylinux2010_x86_64.whl.

File metadata

  • Download URL: tfa_nightly-0.9.0.dev20200302-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/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/45.2.0 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.7.6

File hashes

Hashes for tfa_nightly-0.9.0.dev20200302-cp36-cp36m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 d2ab055fd96dd440c497e00fcf0086b98149e6df6d9168aea4e245ad61ccba10
MD5 f5b493a5e39061a4f41c277e2bbae6ba
BLAKE2b-256 76a957bfb15978c5d19e891f5555865b4e510f1465a14118099a8bc7fe74531d

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.9.0.dev20200302-cp36-cp36m-macosx_10_13_x86_64.whl.

File metadata

  • Download URL: tfa_nightly-0.9.0.dev20200302-cp36-cp36m-macosx_10_13_x86_64.whl
  • Upload date:
  • Size: 548.4 kB
  • Tags: CPython 3.6m, macOS 10.13+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/45.2.0 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.7.6

File hashes

Hashes for tfa_nightly-0.9.0.dev20200302-cp36-cp36m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 dd1a811c8c77dbc5ce851345ec2bb848b39c2149332518a71a0cb3dcfa1e5a8b
MD5 36bed64363d2f7935b7e19d39e3ee09c
BLAKE2b-256 ecab7a9c6d9cc52089cf43d12de0720718ec186beaf0d97cf3c01199c897d905

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.9.0.dev20200302-cp35-cp35m-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.9.0.dev20200302-cp35-cp35m-win_amd64.whl
  • Upload date:
  • Size: 840.0 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/45.2.0 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.7.6

File hashes

Hashes for tfa_nightly-0.9.0.dev20200302-cp35-cp35m-win_amd64.whl
Algorithm Hash digest
SHA256 8214846063dd19dae00e7159d15619b4b4d791f86c78e9550ed46b431a5ea442
MD5 37144504b5249929524b31fb9b5d23aa
BLAKE2b-256 7a962281e637a4625819c0586afc3005c57f4828d8c6f53c9bc939c2cdf4b57a

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.9.0.dev20200302-cp35-cp35m-manylinux2010_x86_64.whl.

File metadata

  • Download URL: tfa_nightly-0.9.0.dev20200302-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/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/45.2.0 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.7.6

File hashes

Hashes for tfa_nightly-0.9.0.dev20200302-cp35-cp35m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 bb4e6ea905bd47a8013bbcd70957661fbfb6e875c3d86898fe1c28fddf27d571
MD5 4c3ea85ca10cc95330d64378fdfde1cd
BLAKE2b-256 ef40888db0f4862cae904c4f6a64dedde4710a0792e616ee424c90b584ec0ae1

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.9.0.dev20200302-cp35-cp35m-macosx_10_13_x86_64.whl.

File metadata

  • Download URL: tfa_nightly-0.9.0.dev20200302-cp35-cp35m-macosx_10_13_x86_64.whl
  • Upload date:
  • Size: 548.4 kB
  • Tags: CPython 3.5m, macOS 10.13+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/45.2.0 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.7.6

File hashes

Hashes for tfa_nightly-0.9.0.dev20200302-cp35-cp35m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 2695b5aa0e3002932cb76320ea1b42deff4ed2db8e2e8cd6d5867e36d36fc601
MD5 eda0da06f1bb5fb80be3d33c757cc1c5
BLAKE2b-256 40d5c8ea2e82d60916e8dcae6e2166d78f91079c6dc03d6071b720ad90950ec6

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