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-0.10.0.dev20200427131518-cp37-cp37m-win_amd64.whl (890.5 kB view details)

Uploaded CPython 3.7m Windows x86-64

tfa_nightly-0.10.0.dev20200427131518-cp37-cp37m-manylinux2010_x86_64.whl (1.0 MB view details)

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

tfa_nightly-0.10.0.dev20200427131518-cp37-cp37m-macosx_10_13_x86_64.whl (583.5 kB view details)

Uploaded CPython 3.7m macOS 10.13+ x86-64

tfa_nightly-0.10.0.dev20200427131518-cp36-cp36m-win_amd64.whl (890.5 kB view details)

Uploaded CPython 3.6m Windows x86-64

tfa_nightly-0.10.0.dev20200427131518-cp36-cp36m-manylinux2010_x86_64.whl (1.0 MB view details)

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

tfa_nightly-0.10.0.dev20200427131518-cp36-cp36m-macosx_10_13_x86_64.whl (583.5 kB view details)

Uploaded CPython 3.6m macOS 10.13+ x86-64

tfa_nightly-0.10.0.dev20200427131518-cp35-cp35m-win_amd64.whl (890.5 kB view details)

Uploaded CPython 3.5m Windows x86-64

tfa_nightly-0.10.0.dev20200427131518-cp35-cp35m-manylinux2010_x86_64.whl (1.0 MB view details)

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

tfa_nightly-0.10.0.dev20200427131518-cp35-cp35m-macosx_10_13_x86_64.whl (583.5 kB view details)

Uploaded CPython 3.5m macOS 10.13+ x86-64

File details

Details for the file tfa_nightly-0.10.0.dev20200427131518-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.10.0.dev20200427131518-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 890.5 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.dev20200427131518-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 099fcb0bddf41ebf797a2edb47b90ca12ab22a5e702de576555380d7457c07e6
MD5 c8a3b6cda5d12db930309181709ecf76
BLAKE2b-256 ef3b7e2e09cc371aaac5513d0b59f8de0ebca4651548d841bf75f3691cafd359

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.10.0.dev20200427131518-cp37-cp37m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.10.0.dev20200427131518-cp37-cp37m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 993c9d68380a6ed58da4fa42fb5a6b0df370b926d32917da53948cb7747a64ac
MD5 c45881cb7d832a9679431d9832bf7e22
BLAKE2b-256 6247322a7678fda1893502c314a95a6d53c21fa95294e1237fa0034bf7450416

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.10.0.dev20200427131518-cp37-cp37m-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.10.0.dev20200427131518-cp37-cp37m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 48d98eef23c4067190d40ae097b1c23b301d9fd1f436bbfdf218cddfdb1509b5
MD5 051828ba4dce9b4cf567bc9b627bca34
BLAKE2b-256 599331a8572609598fb9671862823bdac6654c53b9c2c11fa3a09084ed41138e

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.10.0.dev20200427131518-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.10.0.dev20200427131518-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 890.5 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.dev20200427131518-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 fb95834d141765a682f758adc6394b5d22bcc8e564bd92177149cf5c9186bbb2
MD5 e26e726b2952e57797a12c2071aec839
BLAKE2b-256 eb8c093a82a03bec0edc694ee216fbce8076df3af04c2c2addc16393adfcab4c

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.10.0.dev20200427131518-cp36-cp36m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.10.0.dev20200427131518-cp36-cp36m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 d1c487b0044bbb0e6ed4249029fe89e2703103a26f8a0e76e713d1c5b02a4c01
MD5 01c4a83c608935c7e9f02f7d2d44deab
BLAKE2b-256 08144a1112344644fe1249d03142210feb47ac43ec9450ed6a2a04a54850e2c2

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.10.0.dev20200427131518-cp36-cp36m-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.10.0.dev20200427131518-cp36-cp36m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 6740877185145d0d94b4c0d83b58f4dfe3d48a2649035749cecaed8882204714
MD5 4cb53e9711e62dd11de2557f7f433815
BLAKE2b-256 44e6c7918c84359297b31957b7f3b612ccb8dd7ba7473a4b02449de269ecf894

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.10.0.dev20200427131518-cp35-cp35m-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.10.0.dev20200427131518-cp35-cp35m-win_amd64.whl
  • Upload date:
  • Size: 890.5 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.dev20200427131518-cp35-cp35m-win_amd64.whl
Algorithm Hash digest
SHA256 f54cca9e1972fa0d6480e30b4aa073cc6e86b0876e5a4741af0c684971ab6f51
MD5 c9ed56cb2612b3daa0dc00ea55212303
BLAKE2b-256 818ed9520c1138787b811c78379933da226a4ebe408f06d17d6e791f51faa4b5

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.10.0.dev20200427131518-cp35-cp35m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.10.0.dev20200427131518-cp35-cp35m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 072c3f4da5b9dc653bb71f555e4e37ee8894b63ab02d401b792ad64e636a89aa
MD5 5a99396e07dca5bc70d0bb5eb2987a39
BLAKE2b-256 db707b379f7df8a5632ae8f52409899517b5de1d67c4f850e93c950f443ff9d3

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.10.0.dev20200427131518-cp35-cp35m-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.10.0.dev20200427131518-cp35-cp35m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 35cc431896e14bc6fc69d5497fd7c57af98ff55f9e49e5086977e14c66d3fc12
MD5 f0bc63579ec966d4ba400d064b86e956
BLAKE2b-256 ec59c2b6501dab27815f9b61c5de166afafda9d8c778def1b702aad5109a3ccd

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