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.dev20200413012923-cp37-cp37m-win_amd64.whl (869.9 kB view details)

Uploaded CPython 3.7mWindows x86-64

tfa_nightly-0.10.0.dev20200413012923-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.dev20200413012923-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.dev20200413012923-cp36-cp36m-win_amd64.whl (869.9 kB view details)

Uploaded CPython 3.6mWindows x86-64

tfa_nightly-0.10.0.dev20200413012923-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.dev20200413012923-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.dev20200413012923-cp35-cp35m-win_amd64.whl (869.9 kB view details)

Uploaded CPython 3.5mWindows x86-64

tfa_nightly-0.10.0.dev20200413012923-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.dev20200413012923-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.dev20200413012923-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.10.0.dev20200413012923-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.dev20200413012923-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 a0a2124decece8fb7dcef9cba3b8d1fa8794a061e0d34e8c3aec6ff8ac0f1a71
MD5 f129f782d8138948476673cd523a1363
BLAKE2b-256 0f8b27a67dc0229d56b67d89a8a0de09f502b570fe6adb24babc811c3384456c

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.10.0.dev20200413012923-cp37-cp37m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.10.0.dev20200413012923-cp37-cp37m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 54160b9d9481229d8da141cb4b92e675dbac8ac8a37ddd8c426b0e9a821df1a1
MD5 a9eb759f73951503e1eb753134b74799
BLAKE2b-256 bf2fdb52d052c8c80c6143e54ed4586bbad8d75982532155f52f6922c81f8972

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.10.0.dev20200413012923-cp37-cp37m-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.10.0.dev20200413012923-cp37-cp37m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 d7c4d147e9aceb78eaa53d5a30a8c6adbe556ce66bb240c9094353f5fbe7cdca
MD5 b52e4025be746a18f3999ab69bf1297f
BLAKE2b-256 71c72a00e2035cd1e382785003f9f2cb296483b35e2ec858ca3403a1f7b15cbe

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.10.0.dev20200413012923-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.10.0.dev20200413012923-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.dev20200413012923-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 e97df6d774f0a8b314cab052fb9baab56184d56c4b2523b928f890148956ba88
MD5 41fc646aeb7ad675bb2fccbd47851bf3
BLAKE2b-256 ff36869829e1920eb411814edf91c3218fff5f7a03283612b0eeb7e9c5d652a6

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.10.0.dev20200413012923-cp36-cp36m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.10.0.dev20200413012923-cp36-cp36m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 b6acd6b164fadfc06494cdc57d0ae06c784651ce4ae851486799dcc8dc9ac3f6
MD5 a2f2eb6208825cc558fce1857d918e66
BLAKE2b-256 a1e29563e1e09d76441e05592997c7029f05c0c5c238c8186537b3953160325c

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.10.0.dev20200413012923-cp36-cp36m-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.10.0.dev20200413012923-cp36-cp36m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 adb280d5942d0e94b39bccdccbb917aba05613a21b14c8763ec45589d02c92dd
MD5 7a350557e4b6603d46e86acf9f036f23
BLAKE2b-256 84b8242afd377023ac781d998dff76f0c55b21535996329f6fbb1eb7125ce893

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.10.0.dev20200413012923-cp35-cp35m-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.10.0.dev20200413012923-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.dev20200413012923-cp35-cp35m-win_amd64.whl
Algorithm Hash digest
SHA256 ac6281fca4630e5445e3a71cd3fa18526b6517d01eb5451e8af88533dc1bd539
MD5 ed6a54630b5c401292e88b7cde278d68
BLAKE2b-256 e82b22544405848597089378e6fef0d3da3b2007de43896ab1bb087afdc36c51

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.10.0.dev20200413012923-cp35-cp35m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.10.0.dev20200413012923-cp35-cp35m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 a0a093f1487ffe6dce44c78d479a92b16d6c4aeabbafdef1b5e881ab45417a69
MD5 3df242e322e0be3a16d37642d816690e
BLAKE2b-256 6dacecd1b27837a419ab613efd2a42ab4bd3e2307bb5a87aff2e2dbab6941a1f

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.10.0.dev20200413012923-cp35-cp35m-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.10.0.dev20200413012923-cp35-cp35m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 d5c24a873911e1c7f509d345e057062df607adcc861d2a9e6720aa0c360bd40f
MD5 07d263993bed30004a5e92f1c4e086bf
BLAKE2b-256 c642e828f1fd1948c6afa4c8cf76e9a15fe7f3ef842c3f9579ad54058bc3a1c9

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