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

tfa_nightly-0.11.0.dev20200719001956-cp38-cp38-win_amd64.whl (907.7 kB view details)

Uploaded CPython 3.8 Windows x86-64

tfa_nightly-0.11.0.dev20200719001956-cp38-cp38-manylinux2010_x86_64.whl (1.1 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.12+ x86-64

tfa_nightly-0.11.0.dev20200719001956-cp38-cp38-macosx_10_13_x86_64.whl (602.2 kB view details)

Uploaded CPython 3.8 macOS 10.13+ x86-64

tfa_nightly-0.11.0.dev20200719001956-cp37-cp37m-win_amd64.whl (907.7 kB view details)

Uploaded CPython 3.7m Windows x86-64

tfa_nightly-0.11.0.dev20200719001956-cp37-cp37m-manylinux2010_x86_64.whl (1.1 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.12+ x86-64

tfa_nightly-0.11.0.dev20200719001956-cp37-cp37m-macosx_10_13_x86_64.whl (602.2 kB view details)

Uploaded CPython 3.7m macOS 10.13+ x86-64

tfa_nightly-0.11.0.dev20200719001956-cp36-cp36m-win_amd64.whl (907.7 kB view details)

Uploaded CPython 3.6m Windows x86-64

tfa_nightly-0.11.0.dev20200719001956-cp36-cp36m-manylinux2010_x86_64.whl (1.1 MB view details)

Uploaded CPython 3.6m manylinux: glibc 2.12+ x86-64

tfa_nightly-0.11.0.dev20200719001956-cp36-cp36m-macosx_10_13_x86_64.whl (602.2 kB view details)

Uploaded CPython 3.6m macOS 10.13+ x86-64

tfa_nightly-0.11.0.dev20200719001956-cp35-cp35m-win_amd64.whl (907.7 kB view details)

Uploaded CPython 3.5m Windows x86-64

tfa_nightly-0.11.0.dev20200719001956-cp35-cp35m-manylinux2010_x86_64.whl (1.1 MB view details)

Uploaded CPython 3.5m manylinux: glibc 2.12+ x86-64

tfa_nightly-0.11.0.dev20200719001956-cp35-cp35m-macosx_10_13_x86_64.whl (602.2 kB view details)

Uploaded CPython 3.5m macOS 10.13+ x86-64

File details

Details for the file tfa_nightly-0.11.0.dev20200719001956-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.11.0.dev20200719001956-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 907.7 kB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/47.3.1 requests-toolbelt/0.9.1 tqdm/4.48.0 CPython/3.7.8

File hashes

Hashes for tfa_nightly-0.11.0.dev20200719001956-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 1f77ca57643e9856c8559148101a06e38d1e176249022c756994f0414eaf34fd
MD5 5bb84ff0eb932b4f5d224a0e0fe85e2f
BLAKE2b-256 6ea0ae5e8254b36789a45e8497c91bd7c39d25dfe1e6b828af5a260d66958392

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.11.0.dev20200719001956-cp38-cp38-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.11.0.dev20200719001956-cp38-cp38-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 2cda969ec7176e4e79f7cd4403c97caa15857157039f96df53d57af4a518119f
MD5 76d407d0af2a2437de3a8e9124fd36e0
BLAKE2b-256 0942950b1dd43adc1390e0dc5cb9016f4d29e1d96042a447c18ca44a53b6a584

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.11.0.dev20200719001956-cp38-cp38-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.11.0.dev20200719001956-cp38-cp38-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 20ce8c902b9518e9655cc7fa8818df24e288fe95739779f9edebf6cb5689ba7c
MD5 b7ece143cce1d4c50cca9460eb9ded0e
BLAKE2b-256 2a1110366114cdf5e43ffcf6639388daaf48ca25b564c51675d5002679c7bac3

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.11.0.dev20200719001956-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.11.0.dev20200719001956-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 907.7 kB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/47.3.1 requests-toolbelt/0.9.1 tqdm/4.48.0 CPython/3.7.8

File hashes

Hashes for tfa_nightly-0.11.0.dev20200719001956-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 edbf6b44af85ae6e8369141f23925f950f014e72ce4258d106a1e4364e3785da
MD5 fb2e6e800d9eb0cab3ddbde89e515c30
BLAKE2b-256 cc054614e1a6ee4d19fe4007bf8a6764aafeb0552f0999f9eb598f905c25de10

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.11.0.dev20200719001956-cp37-cp37m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.11.0.dev20200719001956-cp37-cp37m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 eea0138a30edad7063e1fcd221d39058b653a275b6d21fb434472950f3c9ae9e
MD5 bb6642eeb2b39c6cf01b8eb34b4361f6
BLAKE2b-256 c1006bea3a32bc9ecace604144fd6d5d8094e099e67576fb9b00ebc204184a9b

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.11.0.dev20200719001956-cp37-cp37m-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.11.0.dev20200719001956-cp37-cp37m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 c34c9a2e866eeb395903cab5586c7439fe135927b10f62f08eb15de6128bbf8d
MD5 fd8844f9ed0077e5b0214d506e009197
BLAKE2b-256 c140d118a10b1b887e2e46042bdc7b658ac346cfb9851af48c98e53a20b0c4f3

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.11.0.dev20200719001956-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.11.0.dev20200719001956-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 907.7 kB
  • Tags: CPython 3.6m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/47.3.1 requests-toolbelt/0.9.1 tqdm/4.48.0 CPython/3.7.8

File hashes

Hashes for tfa_nightly-0.11.0.dev20200719001956-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 1317316a40bf07e9829f4af3d4355e2d06dca4b2fb2da51da2e31c0f96796e42
MD5 992e8eae72122de453ccbe2de7a139df
BLAKE2b-256 5857c04e4a9034cf77d57ca371ec608acbbbbfdeb833c2963a62bfd3926427b5

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.11.0.dev20200719001956-cp36-cp36m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.11.0.dev20200719001956-cp36-cp36m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 8bf92c4a742d472284cc916cfa2ead17a5ec54c3aa0acf9ac1f778327d2ce8fd
MD5 a3d534fda9a2ffc9d1bdb7be46f467f2
BLAKE2b-256 25482ab5eba7fccd285888dbbdbaa3935469ca982426b2e63833788d73fde125

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.11.0.dev20200719001956-cp36-cp36m-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.11.0.dev20200719001956-cp36-cp36m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 862bdc8ce359585306e2a6f2e5cbf554fd127eb867c64fea3a625861f40d85af
MD5 9206db9dc6209a52577580a3224a4c6d
BLAKE2b-256 acc08ededda070c78b39aa71fb9bc47908483f56c169254890372aed02aaddeb

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.11.0.dev20200719001956-cp35-cp35m-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.11.0.dev20200719001956-cp35-cp35m-win_amd64.whl
  • Upload date:
  • Size: 907.7 kB
  • Tags: CPython 3.5m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/47.3.1 requests-toolbelt/0.9.1 tqdm/4.48.0 CPython/3.7.8

File hashes

Hashes for tfa_nightly-0.11.0.dev20200719001956-cp35-cp35m-win_amd64.whl
Algorithm Hash digest
SHA256 26a111643d02efedf15e92dec297dbf1773dbc292f017eac64919f028287957d
MD5 23f25c8153ef8fdd1049d1611989c6f1
BLAKE2b-256 6b85a2ab6f439b938244c3f6e2a032bdcd1e532666572010007a8c47330447b4

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.11.0.dev20200719001956-cp35-cp35m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.11.0.dev20200719001956-cp35-cp35m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 3956c4147fae1fdcb0909bf64544531f854946f019fe8f96649c23a2fb43a79a
MD5 de6a3afbad81f9fd39ea4033a1034df8
BLAKE2b-256 a5e5d8d82645e087f432b74a8b89c5cca5d08f7b2cbaed6911e0a197d59d2f1f

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.11.0.dev20200719001956-cp35-cp35m-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.11.0.dev20200719001956-cp35-cp35m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 ccece744554ebbd3235d240d14d40f904860af3c0ddb7f1baabb71045fb8a7a0
MD5 4766ad5d73dc7153a53e9a6e4e6e3791
BLAKE2b-256 99afedc0dd4d2c92bec0d5b503149f50fed69e1bcb4fef267b0f4e3790b05972

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page