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.dev20210107193404-cp38-cp38-win_amd64.whl (643.4 kB view details)

Uploaded CPython 3.8Windows x86-64

tfa_nightly-0.13.0.dev20210107193404-cp38-cp38-manylinux2010_x86_64.whl (705.9 kB view details)

Uploaded CPython 3.8manylinux: glibc 2.12+ x86-64

tfa_nightly-0.13.0.dev20210107193404-cp38-cp38-macosx_10_13_x86_64.whl (519.5 kB view details)

Uploaded CPython 3.8macOS 10.13+ x86-64

tfa_nightly-0.13.0.dev20210107193404-cp37-cp37m-win_amd64.whl (643.4 kB view details)

Uploaded CPython 3.7mWindows x86-64

tfa_nightly-0.13.0.dev20210107193404-cp37-cp37m-manylinux2010_x86_64.whl (706.0 kB view details)

Uploaded CPython 3.7mmanylinux: glibc 2.12+ x86-64

tfa_nightly-0.13.0.dev20210107193404-cp37-cp37m-macosx_10_13_x86_64.whl (519.5 kB view details)

Uploaded CPython 3.7mmacOS 10.13+ x86-64

tfa_nightly-0.13.0.dev20210107193404-cp36-cp36m-win_amd64.whl (643.4 kB view details)

Uploaded CPython 3.6mWindows x86-64

tfa_nightly-0.13.0.dev20210107193404-cp36-cp36m-manylinux2010_x86_64.whl (706.0 kB view details)

Uploaded CPython 3.6mmanylinux: glibc 2.12+ x86-64

tfa_nightly-0.13.0.dev20210107193404-cp36-cp36m-macosx_10_13_x86_64.whl (519.5 kB view details)

Uploaded CPython 3.6mmacOS 10.13+ x86-64

File details

Details for the file tfa_nightly-0.13.0.dev20210107193404-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.13.0.dev20210107193404-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 643.4 kB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.6.1 requests/2.25.1 setuptools/51.0.0 requests-toolbelt/0.9.1 tqdm/4.55.1 CPython/3.7.9

File hashes

Hashes for tfa_nightly-0.13.0.dev20210107193404-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 02dba980b982d88b01ada60c96170f10f44e83470af8fcb00bafcdc70a0d2699
MD5 36637638b7b02655b67e219ccbeed39d
BLAKE2b-256 bfa5e5f5fe1060e97ac2bd8233b458323d7b32500d238472a37b63c3cd0cd013

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.13.0.dev20210107193404-cp38-cp38-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.13.0.dev20210107193404-cp38-cp38-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 cb3071eab64c05ed0b8d0770962571a0c2742e46f5402ffa6dc16a9cd75298d2
MD5 82527cd506185dd31fbf225604e699f5
BLAKE2b-256 7538d796aa6985f23b2b759be984276424dd54e05b312fe089074720c504fe06

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.13.0.dev20210107193404-cp38-cp38-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.13.0.dev20210107193404-cp38-cp38-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 076961cca0095652e6152e65ff06d2f9f65f86e99ad149a15248513d06727011
MD5 bd09ff62e7863411c601305373dcd192
BLAKE2b-256 37ab936c3666214251a0ac3f510a97df0d3bddc0e44e54212f9fc261ee92e6ae

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.13.0.dev20210107193404-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.13.0.dev20210107193404-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 643.4 kB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.6.1 requests/2.25.1 setuptools/51.0.0 requests-toolbelt/0.9.1 tqdm/4.55.1 CPython/3.7.9

File hashes

Hashes for tfa_nightly-0.13.0.dev20210107193404-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 754714d44d942280f0e81700bb19903c4fbf5ffa26b43f7c1e6ca7182ca6fb5b
MD5 7eed421be9a155108b8132c9aded5a4e
BLAKE2b-256 f6a30069d0a7c3f1cff48676c01256b51eab011b5f1105cf7c415b8f4de34f75

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.13.0.dev20210107193404-cp37-cp37m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.13.0.dev20210107193404-cp37-cp37m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 317fe4f2bb89d026c8d601ec8dd3bd6391421935e466d12039508a18bcd50585
MD5 50d71870291ec382ab291cf1e3d3d83a
BLAKE2b-256 687cc2a66309253d10d6f697b18f4d83933391e9d6038c51fc69485e7a45a0a0

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.13.0.dev20210107193404-cp37-cp37m-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.13.0.dev20210107193404-cp37-cp37m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 e66c1accb717bb53d4503328877944a7a2e570b159a3afc380e017b31b70d269
MD5 7f6548558ae31570e0bfa82bf4587cee
BLAKE2b-256 ec4fb4f4e4eebbbba8b29cd7840959b486ac54eb32214f13d4560bbacea9ae25

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.13.0.dev20210107193404-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.13.0.dev20210107193404-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 643.4 kB
  • Tags: CPython 3.6m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.6.1 requests/2.25.1 setuptools/51.0.0 requests-toolbelt/0.9.1 tqdm/4.55.1 CPython/3.7.9

File hashes

Hashes for tfa_nightly-0.13.0.dev20210107193404-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 ac3d8ef0113939f48e5f2627efb4af6157134f713c1448158b8d0f5600591106
MD5 5e16fb3dee57711dc79f9e9dc99336ce
BLAKE2b-256 5ff20636ff0a3c6a5209831969e01e22505341e42f38a5bc3295f0e66b757d1e

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.13.0.dev20210107193404-cp36-cp36m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.13.0.dev20210107193404-cp36-cp36m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 9c7cb9d601848627532a5c8365e09658245c698c227bb11baf5a13dd02c00b14
MD5 453c567153b3f9ae799c4d2a095b4a0f
BLAKE2b-256 6beaf90213609c0a0323bacc3c0956c00b49193189b3094f39b10aaba09ab2e8

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.13.0.dev20210107193404-cp36-cp36m-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.13.0.dev20210107193404-cp36-cp36m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 5092977a426404a4415fe5144367cc0a55b302975d0e514f168130613bcf53f2
MD5 868b12eba468e68017e567568004a741
BLAKE2b-256 d373b5c223008b1d1ef0e1de2b1004d7940bbf11b99e77f8db6bb867005fc050

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