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.dev20200410142705-cp37-cp37m-win_amd64.whl (869.9 kB view details)

Uploaded CPython 3.7mWindows x86-64

tfa_nightly-0.10.0.dev20200410142705-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.dev20200410142705-cp37-cp37m-macosx_10_13_x86_64.whl (573.0 kB view details)

Uploaded CPython 3.7mmacOS 10.13+ x86-64

tfa_nightly-0.10.0.dev20200410142705-cp36-cp36m-win_amd64.whl (869.9 kB view details)

Uploaded CPython 3.6mWindows x86-64

tfa_nightly-0.10.0.dev20200410142705-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.dev20200410142705-cp36-cp36m-macosx_10_13_x86_64.whl (573.0 kB view details)

Uploaded CPython 3.6mmacOS 10.13+ x86-64

tfa_nightly-0.10.0.dev20200410142705-cp35-cp35m-win_amd64.whl (869.9 kB view details)

Uploaded CPython 3.5mWindows x86-64

tfa_nightly-0.10.0.dev20200410142705-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.dev20200410142705-cp35-cp35m-macosx_10_13_x86_64.whl (573.0 kB view details)

Uploaded CPython 3.5mmacOS 10.13+ x86-64

File details

Details for the file tfa_nightly-0.10.0.dev20200410142705-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.10.0.dev20200410142705-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 869.9 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.dev20200410142705-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 52ae01ec748005fc58e61dcf10516abeaeed54eef9c3f589a02c755f4a2bc3a6
MD5 9cf571baee88b3526bcf3e750bbfa9fd
BLAKE2b-256 430edf148e77a11082cd19957a65408489507e85510374b0def59e629adf3a26

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.10.0.dev20200410142705-cp37-cp37m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.10.0.dev20200410142705-cp37-cp37m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 181c92048fe963a0e7c8dc9e2ed4af9b70470b6a6292628fc25f85e5050a6430
MD5 90a8fcf72ab0b53b470f902c25651d7b
BLAKE2b-256 f780ddb388929d031ca2b093392428df5f2737f800bc5b113fcff0499dc86aeb

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.10.0.dev20200410142705-cp37-cp37m-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.10.0.dev20200410142705-cp37-cp37m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 e810b029fa69b718227a1a42afaeb4f27feff3585b39ff80a1baa1f55117eb33
MD5 e8e273f24b4e0db05790920682c91968
BLAKE2b-256 3cadea5b32c7dd6c7dfe4a32cebd370e45c1a65e92f3ee1a6a749c79893ecb1f

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.10.0.dev20200410142705-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.10.0.dev20200410142705-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 869.9 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.dev20200410142705-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 ca7978bf5937efa308cc5ee1a86865f876fd9067971e95a3b9f8751496773a32
MD5 7d37c94d308182845343703a69f57c5c
BLAKE2b-256 78514572162807c246680ebcd1419d08bca673eaccc75b580c8cabd32dc07ced

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.10.0.dev20200410142705-cp36-cp36m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.10.0.dev20200410142705-cp36-cp36m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 ab8e241c049e3da92c84b18bd04007827ef8d35bd393301642f62c6856d3222b
MD5 4bd2c436637939116d9d0833bd884276
BLAKE2b-256 6a66bcb1fd62dd20ad43f64dc6d9aed9bca8ead6c97e8280de3ecbc969ca4b5f

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.10.0.dev20200410142705-cp36-cp36m-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.10.0.dev20200410142705-cp36-cp36m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 4f5ef1ed689445d5a7e50eaff55238030693f1a0eaf0e5498649c80f102f10ec
MD5 c62b390308c01e97c61affd8319436ab
BLAKE2b-256 11a32530772cb6a2997f342692d82e52b61930bcd4153588d62cbe6c9bad51e9

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.10.0.dev20200410142705-cp35-cp35m-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.10.0.dev20200410142705-cp35-cp35m-win_amd64.whl
  • Upload date:
  • Size: 869.9 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.dev20200410142705-cp35-cp35m-win_amd64.whl
Algorithm Hash digest
SHA256 cd2953b1fcbb8673c0c435eff6cb8f87bde1ee4824ff16356e14304e29db62c8
MD5 4739383149c706f48a0d0b061374dd9d
BLAKE2b-256 ea29e084fa1136905c9673316bfd5ef505b909270f8200102e1b0b94ad25c4e4

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.10.0.dev20200410142705-cp35-cp35m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.10.0.dev20200410142705-cp35-cp35m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 415f4afe806f51cf60a2a1da16aec6f1325b58f4250eb958c08537eb7eef72dd
MD5 14558228dd902a958c18d337e5e72c5c
BLAKE2b-256 97588c7965cae773f97adc1415c1cc563afa6b51dff004275aa0051050529fae

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.10.0.dev20200410142705-cp35-cp35m-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.10.0.dev20200410142705-cp35-cp35m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 f698d0ac4cf5b01e39fa4ae934ecd9122e9653674c7376cfd20b0bfcbbe40d4f
MD5 6a00825ede12ceefd7146268400f329a
BLAKE2b-256 001696a7e30e3870c053c14de05adf48ab987851bf85947a251d91b4c58d8387

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