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-0.10.0.dev20200416180813-cp37-cp37m-win_amd64.whl (872.5 kB view details)

Uploaded CPython 3.7mWindows x86-64

tfa_nightly-0.10.0.dev20200416180813-cp37-cp37m-manylinux2010_x86_64.whl (1.0 MB view details)

Uploaded CPython 3.7mmanylinux: glibc 2.12+ x86-64

tfa_nightly-0.10.0.dev20200416180813-cp37-cp37m-macosx_10_13_x86_64.whl (575.6 kB view details)

Uploaded CPython 3.7mmacOS 10.13+ x86-64

tfa_nightly-0.10.0.dev20200416180813-cp36-cp36m-win_amd64.whl (872.5 kB view details)

Uploaded CPython 3.6mWindows x86-64

tfa_nightly-0.10.0.dev20200416180813-cp36-cp36m-manylinux2010_x86_64.whl (1.0 MB view details)

Uploaded CPython 3.6mmanylinux: glibc 2.12+ x86-64

tfa_nightly-0.10.0.dev20200416180813-cp36-cp36m-macosx_10_13_x86_64.whl (575.6 kB view details)

Uploaded CPython 3.6mmacOS 10.13+ x86-64

tfa_nightly-0.10.0.dev20200416180813-cp35-cp35m-win_amd64.whl (872.5 kB view details)

Uploaded CPython 3.5mWindows x86-64

tfa_nightly-0.10.0.dev20200416180813-cp35-cp35m-manylinux2010_x86_64.whl (1.0 MB view details)

Uploaded CPython 3.5mmanylinux: glibc 2.12+ x86-64

tfa_nightly-0.10.0.dev20200416180813-cp35-cp35m-macosx_10_13_x86_64.whl (575.6 kB view details)

Uploaded CPython 3.5mmacOS 10.13+ x86-64

File details

Details for the file tfa_nightly-0.10.0.dev20200416180813-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.10.0.dev20200416180813-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 872.5 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/46.1.3 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.7.7

File hashes

Hashes for tfa_nightly-0.10.0.dev20200416180813-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 ddd153e390d1fecf20160d0030259bca7fba309c3c9ca6c9fc2041e46111bdab
MD5 aa0140108a8fdb0c280e8911ec9345aa
BLAKE2b-256 340e47b49b5128d64aacdde83ba8483970a425494406decbd5c79db95b4654e1

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.10.0.dev20200416180813-cp37-cp37m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.10.0.dev20200416180813-cp37-cp37m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 c9f2a9a26ff1bbff3824e4d69149bf46303875565b7d6306b8e9deddfb2a20a9
MD5 b6ac6ccfc2911066779b1bca3e96c43f
BLAKE2b-256 222581a712e2b7059bc596fc2e1f4bfb3e2c43b286c03ad6ca9581c5656f7793

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.10.0.dev20200416180813-cp37-cp37m-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.10.0.dev20200416180813-cp37-cp37m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 59226f7055f09828eaca14f7cf8e40cbab9892604054f79ba353424c9ca6a0bc
MD5 25e6fa669f7899c85b7d89cd2e3b5c88
BLAKE2b-256 4be4a26748b3b6d0727cfc8eb3ec279de079dbbf3212c89d2de3c5d93380b7d4

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.10.0.dev20200416180813-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.10.0.dev20200416180813-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 872.5 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/46.1.3 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.7.7

File hashes

Hashes for tfa_nightly-0.10.0.dev20200416180813-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 84d625506790f9c43de9176085de0dc072ab31e13f0617e93e579d8b70cb2adf
MD5 18c5390f2d46ee86d03ef575e8f7f26d
BLAKE2b-256 02948a4c4cb2f99f2e2d1750b989b4be935345cdf2ce06a36fd117bbe6c17f66

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.10.0.dev20200416180813-cp36-cp36m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.10.0.dev20200416180813-cp36-cp36m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 ccf7880ae57f46ec7e2b3873b636af958f985e993314e2351fd6a84596d8813b
MD5 e07b444ff3d91fd0b1eaa1255789aa38
BLAKE2b-256 d8dffa0c909d2943e54a624ec1a70fd5f2ece27071b99327c01beb05f7efc964

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.10.0.dev20200416180813-cp36-cp36m-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.10.0.dev20200416180813-cp36-cp36m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 c8af43ab8d642bacfb59d489c6de6172a8a696b09742dc88092a48350d39922a
MD5 404d8cc095f8a5a2ad352be8eeb7b3d3
BLAKE2b-256 8de346b346010692e093357089d797adc64610cc7dcf7212c3b33069c746e236

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.10.0.dev20200416180813-cp35-cp35m-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.10.0.dev20200416180813-cp35-cp35m-win_amd64.whl
  • Upload date:
  • Size: 872.5 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/46.1.3 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.7.7

File hashes

Hashes for tfa_nightly-0.10.0.dev20200416180813-cp35-cp35m-win_amd64.whl
Algorithm Hash digest
SHA256 e447c7129b13e82bc1c72c07575b7c246d726eb10864337a2462981034bd131d
MD5 22f830cd2fa2f653524366203aac734a
BLAKE2b-256 50562d265fac440da005c0cbbed5c3f2b4119026a8db9a448d30c69b9461baa1

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.10.0.dev20200416180813-cp35-cp35m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.10.0.dev20200416180813-cp35-cp35m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 5624ceb4aac783e7fc2c1a21117da6c68a80580debb6eac236c63537ba2f557e
MD5 f47c0065658830950f8ce34c9bf2d642
BLAKE2b-256 892fcc4e755abcf6b257916f8811df495ae9e82d1d2022a4696ef1fa9f264555

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.10.0.dev20200416180813-cp35-cp35m-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.10.0.dev20200416180813-cp35-cp35m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 0ff2eab883c77f067238e6295412e1c71f92d579c1ded5737a5a65921d5766fc
MD5 76fe1dcdef985d47829fc3bc8d8963b1
BLAKE2b-256 b5fbabbd8c504cca3ea1db3cc0dcc9ccd19144aa509b65f34591d777d9e04798

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