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.dev20210513133005-cp38-cp38-win_amd64.whl (603.0 kB view details)

Uploaded CPython 3.8Windows x86-64

tfa_nightly-0.13.0.dev20210513133005-cp38-cp38-manylinux2010_x86_64.whl (650.9 kB view details)

Uploaded CPython 3.8manylinux: glibc 2.12+ x86-64

tfa_nightly-0.13.0.dev20210513133005-cp38-cp38-macosx_10_13_x86_64.whl (494.2 kB view details)

Uploaded CPython 3.8macOS 10.13+ x86-64

tfa_nightly-0.13.0.dev20210513133005-cp37-cp37m-win_amd64.whl (603.0 kB view details)

Uploaded CPython 3.7mWindows x86-64

tfa_nightly-0.13.0.dev20210513133005-cp37-cp37m-manylinux2010_x86_64.whl (650.9 kB view details)

Uploaded CPython 3.7mmanylinux: glibc 2.12+ x86-64

tfa_nightly-0.13.0.dev20210513133005-cp37-cp37m-macosx_10_13_x86_64.whl (494.2 kB view details)

Uploaded CPython 3.7mmacOS 10.13+ x86-64

tfa_nightly-0.13.0.dev20210513133005-cp36-cp36m-win_amd64.whl (603.0 kB view details)

Uploaded CPython 3.6mWindows x86-64

tfa_nightly-0.13.0.dev20210513133005-cp36-cp36m-manylinux2010_x86_64.whl (651.0 kB view details)

Uploaded CPython 3.6mmanylinux: glibc 2.12+ x86-64

tfa_nightly-0.13.0.dev20210513133005-cp36-cp36m-macosx_10_13_x86_64.whl (494.2 kB view details)

Uploaded CPython 3.6mmacOS 10.13+ x86-64

File details

Details for the file tfa_nightly-0.13.0.dev20210513133005-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.13.0.dev20210513133005-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 603.0 kB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.7.10

File hashes

Hashes for tfa_nightly-0.13.0.dev20210513133005-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 13e92cd4e4070f1c53fdfd7d49333d300b1b56f9576815e84ce50eab4f201f80
MD5 789dad3032782b5ecac7155a45a8f0fc
BLAKE2b-256 ee2354c8f824dae7a88d703297bfb22d920e6371c234cf97688fc9b96fc4214c

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.13.0.dev20210513133005-cp38-cp38-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.13.0.dev20210513133005-cp38-cp38-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 344bd5664187cf7d2fe198b30f563cdbaac25f50c9938aeee74ebc49dcdd7976
MD5 c13fc9595a6deae1a6c5ae0537faf951
BLAKE2b-256 f644f2831b4e8cc48db3592a454a4c645cfe640d8c1ef8311c29b23527ceb6c9

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.13.0.dev20210513133005-cp38-cp38-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.13.0.dev20210513133005-cp38-cp38-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 c614e0321abcb916f0d6ec418d9ce6eb4a91c2e883d31657681c7a9786b84f55
MD5 b9620bedb38d74803220453cc67f991b
BLAKE2b-256 b2b206e42fd8bb5ed202e579fbb364a0d750fdca4b70505e5ee637f518802367

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.13.0.dev20210513133005-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.13.0.dev20210513133005-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 603.0 kB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.7.10

File hashes

Hashes for tfa_nightly-0.13.0.dev20210513133005-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 4f2a49c25756e3e8b6e5bd6773d1d1f8ce039293242ee5c16ac4ff840f5a9783
MD5 5bc3e3ddcb728e4760e504b63633b2a7
BLAKE2b-256 bf5213469f1211c97cec5a7703839a98998e8836cb707282bf66ec9788532e04

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.13.0.dev20210513133005-cp37-cp37m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.13.0.dev20210513133005-cp37-cp37m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 df8529881c63ee83ff40b691f17fd604efbeccc26e09ef29286a16b1afbfd6dd
MD5 86324dc2194dd1896c68b3201b6e30af
BLAKE2b-256 7260c8cc8256d4279ca18aa53b769aa03e9bae4a10dc6254d6535368c481632f

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.13.0.dev20210513133005-cp37-cp37m-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.13.0.dev20210513133005-cp37-cp37m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 25bdfc35331cfba7ec806ea461042350c3252e957b6b7d03704658173b36c7b3
MD5 1a95dcc22a25294956f896235235f59e
BLAKE2b-256 549a081614d8b7cfab7d929ba5bf992aea9247de58f2dc84160de949c4d7daa4

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.13.0.dev20210513133005-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.13.0.dev20210513133005-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 603.0 kB
  • Tags: CPython 3.6m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.7.10

File hashes

Hashes for tfa_nightly-0.13.0.dev20210513133005-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 39487aad7ed63f210e4a92ed1ef4c1783bccfa2838109ce8497eb21b14a76028
MD5 0fdc98fbb5bbe9a61b876bcdec94f2c3
BLAKE2b-256 27d336dc5c2ee8e7336c080b04ff0f7cd03204a775caf81e64e93b6f90c6bc9c

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.13.0.dev20210513133005-cp36-cp36m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.13.0.dev20210513133005-cp36-cp36m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 463cdc1d9d75d49e497904090c574bd604188c3cead475ad53d2c5e4ca9c6d31
MD5 989ca74a27de2c17e0a7b28db804fc47
BLAKE2b-256 ab3be52d3105f64ef0febfef1edb931987e22c9b2c2f8fdf0e39485b92201e18

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.13.0.dev20210513133005-cp36-cp36m-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.13.0.dev20210513133005-cp36-cp36m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 69be7fe52baabc6913b9e142e3ad622fc464e76bf568fe4dfe02d772cd4925cf
MD5 64f00642f11a5bf144d59bb2165bc5af
BLAKE2b-256 a7164d1a84e05e046cabf2305a758884033ba74ff6b93e15037d7888677bd1eb

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