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-0.11.0.dev20200722164255-cp38-cp38-win_amd64.whl (911.1 kB view details)

Uploaded CPython 3.8Windows x86-64

tfa_nightly-0.11.0.dev20200722164255-cp38-cp38-manylinux2010_x86_64.whl (1.1 MB view details)

Uploaded CPython 3.8manylinux: glibc 2.12+ x86-64

tfa_nightly-0.11.0.dev20200722164255-cp38-cp38-macosx_10_13_x86_64.whl (605.6 kB view details)

Uploaded CPython 3.8macOS 10.13+ x86-64

tfa_nightly-0.11.0.dev20200722164255-cp37-cp37m-win_amd64.whl (911.1 kB view details)

Uploaded CPython 3.7mWindows x86-64

tfa_nightly-0.11.0.dev20200722164255-cp37-cp37m-manylinux2010_x86_64.whl (1.1 MB view details)

Uploaded CPython 3.7mmanylinux: glibc 2.12+ x86-64

tfa_nightly-0.11.0.dev20200722164255-cp37-cp37m-macosx_10_13_x86_64.whl (605.6 kB view details)

Uploaded CPython 3.7mmacOS 10.13+ x86-64

tfa_nightly-0.11.0.dev20200722164255-cp36-cp36m-win_amd64.whl (911.1 kB view details)

Uploaded CPython 3.6mWindows x86-64

tfa_nightly-0.11.0.dev20200722164255-cp36-cp36m-manylinux2010_x86_64.whl (1.1 MB view details)

Uploaded CPython 3.6mmanylinux: glibc 2.12+ x86-64

tfa_nightly-0.11.0.dev20200722164255-cp36-cp36m-macosx_10_13_x86_64.whl (605.6 kB view details)

Uploaded CPython 3.6mmacOS 10.13+ x86-64

tfa_nightly-0.11.0.dev20200722164255-cp35-cp35m-win_amd64.whl (911.1 kB view details)

Uploaded CPython 3.5mWindows x86-64

tfa_nightly-0.11.0.dev20200722164255-cp35-cp35m-manylinux2010_x86_64.whl (1.1 MB view details)

Uploaded CPython 3.5mmanylinux: glibc 2.12+ x86-64

tfa_nightly-0.11.0.dev20200722164255-cp35-cp35m-macosx_10_13_x86_64.whl (605.6 kB view details)

Uploaded CPython 3.5mmacOS 10.13+ x86-64

File details

Details for the file tfa_nightly-0.11.0.dev20200722164255-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.11.0.dev20200722164255-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 911.1 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/49.2.0 requests-toolbelt/0.9.1 tqdm/4.48.0 CPython/3.7.8

File hashes

Hashes for tfa_nightly-0.11.0.dev20200722164255-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 b35b8c3165cd01f8b1c64beaf2aee3ad83e4ed9210590daa07507f039bbd1dfe
MD5 0b53d2cc154f69d692172a36785dc2e8
BLAKE2b-256 834bc6d6690e9ee1b46f76d686f09b270f7383e805a590d8edb72fecf413f467

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.11.0.dev20200722164255-cp38-cp38-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.11.0.dev20200722164255-cp38-cp38-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 8ad8686f4d39e3147f3c4b42ac9c9db0694376413301f80851e93ea237dd2a8f
MD5 ec97208326744727adddd677747a5d01
BLAKE2b-256 c3d6a82a9852db7c7b00b175a3f61ec73847c8a18f0c158c5c72f3b589719e99

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.11.0.dev20200722164255-cp38-cp38-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.11.0.dev20200722164255-cp38-cp38-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 ec1465d8c75e6207acfadf05504889157919a2ec92faaa58db8c540ddcf56364
MD5 a26dd413961d7339d8fbe7775356a24f
BLAKE2b-256 e8cc2e268e1debf30ec4b608e025e0030cbb6c482477877a4294cd79105327f2

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.11.0.dev20200722164255-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.11.0.dev20200722164255-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 911.1 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/49.2.0 requests-toolbelt/0.9.1 tqdm/4.48.0 CPython/3.7.8

File hashes

Hashes for tfa_nightly-0.11.0.dev20200722164255-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 1c1e1b33539c5aef6b9359fa94a149aff228ea08ceb902c13d0a95cfcbd0a7b3
MD5 aef4d43064851af274b99bc26a801dec
BLAKE2b-256 9f9a8e2b41b9a583e1d315594db97dd21daf3607d8103f900aa38b97d909a88c

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.11.0.dev20200722164255-cp37-cp37m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.11.0.dev20200722164255-cp37-cp37m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 756edfcf8b9f20e3d5a3cbec667941fff779f48aa0f678f1fdb24795b707792b
MD5 16ee5ead066c1e337e108e6edc8ac610
BLAKE2b-256 e45d8bf82080601adf0f4526e96735f276151ddb799cf7c264be253adf9a3a7a

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.11.0.dev20200722164255-cp37-cp37m-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.11.0.dev20200722164255-cp37-cp37m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 fa6b4b3c3455dd32f8cafc65e66d8f42748f35e8408ade9948c083118ccc9adc
MD5 ee08a06081c38c362296b2c997ab0d26
BLAKE2b-256 91957abadd0244a1812e03668791d6db4e9a912b99fb70798d540b0d1bff07e0

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.11.0.dev20200722164255-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.11.0.dev20200722164255-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 911.1 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/49.2.0 requests-toolbelt/0.9.1 tqdm/4.48.0 CPython/3.7.8

File hashes

Hashes for tfa_nightly-0.11.0.dev20200722164255-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 2bdf90d9b51f8d80473c4ce8cd4d3e54f56fc24d05599d9562b9a096c6c9c947
MD5 43bf7ef2a03555fc80c929d8b421352a
BLAKE2b-256 fadf1b79e0c136f5f6b6b98070cd5f57d1a895024407a1e20d2f6982e4fbde6c

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.11.0.dev20200722164255-cp36-cp36m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.11.0.dev20200722164255-cp36-cp36m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 dfe5b62e368abeb4d2c1d721776b99ae915570639d3e002c70eada1038f8c8a8
MD5 d38a5287da71ffef1c9c147c8eb1963f
BLAKE2b-256 fc93eef23bc2da3b63b0d3a0b3219c927c0a1d2159eb75990ab3a69bfc6256cc

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.11.0.dev20200722164255-cp36-cp36m-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.11.0.dev20200722164255-cp36-cp36m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 bf5a14c8d4e4b0278532b43f3a10f81dd8ddd80eb30f3ade09b4c56cee9cb095
MD5 28c7aa3868a9fbd53344c5707e340510
BLAKE2b-256 c09b7df019545ec006261f6920732da257989800ed1b08d67b8cb8c13b1bcbc7

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.11.0.dev20200722164255-cp35-cp35m-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.11.0.dev20200722164255-cp35-cp35m-win_amd64.whl
  • Upload date:
  • Size: 911.1 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/49.2.0 requests-toolbelt/0.9.1 tqdm/4.48.0 CPython/3.7.8

File hashes

Hashes for tfa_nightly-0.11.0.dev20200722164255-cp35-cp35m-win_amd64.whl
Algorithm Hash digest
SHA256 d1f6b218c23e1f81032ce1839e50595195bc066a2ab7379efe7a7a47cd7699f3
MD5 e5ae8a7bee829f3ad0af5c038bf4c8f2
BLAKE2b-256 dacb92d17786c95867af041136039845391fa1dbe4a6e7b25fda5d3ad7e587aa

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.11.0.dev20200722164255-cp35-cp35m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.11.0.dev20200722164255-cp35-cp35m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 e081d0bfa931c0a766607948eb2c55598e78f6162b02d5ad401890e1c0885d56
MD5 d5a594be16ee8f2a1246261acd292a32
BLAKE2b-256 b92aedd3a5f8e3d2cb34a0722307ac04e9ece69dab180b5972d0f9f6153c0029

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.11.0.dev20200722164255-cp35-cp35m-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.11.0.dev20200722164255-cp35-cp35m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 69a84c109ebf74d171be652a5b43b4893b79d07eb8cfff268fe8908e0342b438
MD5 8a9df7652716446b45748882cf0f6e1b
BLAKE2b-256 d182ee587aacdcd81a2c866cd491c3b45c1a2313e3903043474c1f98ef819e38

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