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-0.15.0.dev20211001103513-cp39-cp39-win_amd64.whl (753.1 kB view details)

Uploaded CPython 3.9Windows x86-64

tfa_nightly-0.15.0.dev20211001103513-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (1.1 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.12+ x86-64

tfa_nightly-0.15.0.dev20211001103513-cp39-cp39-macosx_11_0_arm64.whl (551.4 kB view details)

Uploaded CPython 3.9macOS 11.0+ ARM64

tfa_nightly-0.15.0.dev20211001103513-cp39-cp39-macosx_10_13_x86_64.whl (582.8 kB view details)

Uploaded CPython 3.9macOS 10.13+ x86-64

tfa_nightly-0.15.0.dev20211001103513-cp38-cp38-win_amd64.whl (753.1 kB view details)

Uploaded CPython 3.8Windows x86-64

tfa_nightly-0.15.0.dev20211001103513-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (1.1 MB view details)

Uploaded CPython 3.8manylinux: glibc 2.12+ x86-64

tfa_nightly-0.15.0.dev20211001103513-cp38-cp38-macosx_11_0_arm64.whl (551.3 kB view details)

Uploaded CPython 3.8macOS 11.0+ ARM64

tfa_nightly-0.15.0.dev20211001103513-cp38-cp38-macosx_10_13_x86_64.whl (582.8 kB view details)

Uploaded CPython 3.8macOS 10.13+ x86-64

tfa_nightly-0.15.0.dev20211001103513-cp37-cp37m-win_amd64.whl (753.1 kB view details)

Uploaded CPython 3.7mWindows x86-64

tfa_nightly-0.15.0.dev20211001103513-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (1.1 MB view details)

Uploaded CPython 3.7mmanylinux: glibc 2.12+ x86-64

tfa_nightly-0.15.0.dev20211001103513-cp37-cp37m-macosx_10_13_x86_64.whl (582.8 kB view details)

Uploaded CPython 3.7mmacOS 10.13+ x86-64

tfa_nightly-0.15.0.dev20211001103513-cp36-cp36m-win_amd64.whl (753.1 kB view details)

Uploaded CPython 3.6mWindows x86-64

tfa_nightly-0.15.0.dev20211001103513-cp36-cp36m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (1.1 MB view details)

Uploaded CPython 3.6mmanylinux: glibc 2.12+ x86-64

tfa_nightly-0.15.0.dev20211001103513-cp36-cp36m-macosx_10_13_x86_64.whl (582.8 kB view details)

Uploaded CPython 3.6mmacOS 10.13+ x86-64

File details

Details for the file tfa_nightly-0.15.0.dev20211001103513-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.15.0.dev20211001103513-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 753.1 kB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.12

File hashes

Hashes for tfa_nightly-0.15.0.dev20211001103513-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 73c8b5a995af1619b87c129c12b27262a4aa6e33f5d6f770e90e309591ed9013
MD5 28d0eb5b03fa7ac11a077597b0427ebd
BLAKE2b-256 4113e633f02d2aa875f3b56586c42500efd877d005b6ca9b1f22d3e4c966bf94

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.15.0.dev20211001103513-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.15.0.dev20211001103513-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 fafaec352261a5c9ec3ea8bad03c661435b5464aa64394f59b1ceff13621fc43
MD5 8658d9a23bc5d680e4f590f7cfad7dd4
BLAKE2b-256 20534f92f217aeccf82ceca81434940a051c82358a36bdf51a40e46b6bcf6145

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.15.0.dev20211001103513-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.15.0.dev20211001103513-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 9adef0dbba1246b81b2de4d446f3c6e5ffb76fe9bb82e0202a84848bba41b290
MD5 1670313866bffe57a78221a271a86f09
BLAKE2b-256 a94f91a1017c3ca616afe6bef54f5453a8dfc1dbd736b72f1e9b90ede01f85ed

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.15.0.dev20211001103513-cp39-cp39-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.15.0.dev20211001103513-cp39-cp39-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 99bce9b1c856356536c917981fe0ad5e41ff32c9e80c73a1bf576997bbb2beb1
MD5 66dbf6f4a23b59b84f6ff9e32c4b6560
BLAKE2b-256 bd7d34bbc108e685473ce5c972a7e7cbce0a2c7724ef632d60af67ab2eb24326

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.15.0.dev20211001103513-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.15.0.dev20211001103513-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 753.1 kB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.12

File hashes

Hashes for tfa_nightly-0.15.0.dev20211001103513-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 1e950cfdaf83e49f194246356567495b070fd4c4824fe96a1ac9362d3bdbe72b
MD5 0f88058ee2c132ba21df877e0a7a480b
BLAKE2b-256 d07077ce92ecfe296c971c7dcdae58a5ca42a6d14d06b91f48179683749af49e

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.15.0.dev20211001103513-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.15.0.dev20211001103513-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 f62c4735f258fe8cb1819cf93a83c020b6eb6f8065bd8c9090f742b54afa3aa1
MD5 6d14792b2ce245d951e5c54282c1f3f8
BLAKE2b-256 617b962bab5d29d7a431042b441b3e386ca2d1d73e856927b2fd92682f93175e

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.15.0.dev20211001103513-cp38-cp38-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.15.0.dev20211001103513-cp38-cp38-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 63e660ca27721c163c0b5745ddd051cfa753db1dd10b13ccd7f9e3dd65875a3d
MD5 6a78c66706d276615082ee4250463ba5
BLAKE2b-256 31f7e2d59b417ddd19c1076c3f1f6eded79c6c037580f1dca80063e1ada05c2a

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.15.0.dev20211001103513-cp38-cp38-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.15.0.dev20211001103513-cp38-cp38-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 cd2ea1151fa931eef609a60d5108b9c647ec325cffc88819cf54b1d01c3e0422
MD5 43d3319fd78edc9e7f2c6daa54ab38e2
BLAKE2b-256 451a4fe14bd075bdf9cdec9667264d5c2c4f9c4a6dc1b8bf75b44874e32567bf

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.15.0.dev20211001103513-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.15.0.dev20211001103513-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 753.1 kB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.12

File hashes

Hashes for tfa_nightly-0.15.0.dev20211001103513-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 dedafa11bdeefae1a23a1e7bc94e5b57d4c13f71aaf6250904a5a15865332a38
MD5 5bb3b99036f9503b762dc5c197a62cb0
BLAKE2b-256 1d0d0b2a81dc67a1ff869dcdf723e38a57a048be47140878f4f73178d58b079f

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.15.0.dev20211001103513-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.15.0.dev20211001103513-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 56bb32ecb9b17c67040f5a4955e72fb967fdd2944c0e3ad01060d39296a2eba9
MD5 eb3ae6aea1a907fb7c1bd41a1badd9c1
BLAKE2b-256 016b06c38728ad2fe58f0d25f1ccd7764bc798e23dd16f2d97bf345844911535

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.15.0.dev20211001103513-cp37-cp37m-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.15.0.dev20211001103513-cp37-cp37m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 354f3e9b18e5d852768b28bbafc9006a031983d71b9781b81219d040815ccfba
MD5 c971cdd378e2ef928153af0a7d688ca1
BLAKE2b-256 15a3caf15fccba9e8b0fa4de5ee0500f1d4f032f782cd5bea3136b73ba4d042f

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.15.0.dev20211001103513-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.15.0.dev20211001103513-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 753.1 kB
  • Tags: CPython 3.6m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.12

File hashes

Hashes for tfa_nightly-0.15.0.dev20211001103513-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 e7a8af01f3b909e803259ec8b9d43eb2741123fb8b46aa805457757ccf57ffb3
MD5 47d5da7d81a227b02851096b0c984c90
BLAKE2b-256 6db56fe135a1b3f9339cba08bbd7a0dcedb1940342531c177ecc25d033587d7b

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.15.0.dev20211001103513-cp36-cp36m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.15.0.dev20211001103513-cp36-cp36m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 f9afb12c9edf0a30e9c5da9c2ad92a738170cf2f44a912a97fed1ed70f37ba50
MD5 4411579f2efadb6eaa54e5a76d521d70
BLAKE2b-256 d0accf502a614c02359949ead61b5ec9087781139b5e2479db8d8488d5c062a3

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.15.0.dev20211001103513-cp36-cp36m-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.15.0.dev20211001103513-cp36-cp36m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 2fc4607db09eaf8f92bdee1df52c9dccf88516138b0e2d28ced374965d38564e
MD5 f0a109af9da9934ca6e464990421241c
BLAKE2b-256 54e3d290f62428db3bc4fc86e6f83492306beaeb5e7b546da35b7dfb4917298f

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