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.dev20211001121248-cp39-cp39-win_amd64.whl (753.1 kB view details)

Uploaded CPython 3.9Windows x86-64

tfa_nightly-0.15.0.dev20211001121248-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.dev20211001121248-cp39-cp39-macosx_11_0_arm64.whl (551.3 kB view details)

Uploaded CPython 3.9macOS 11.0+ ARM64

tfa_nightly-0.15.0.dev20211001121248-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.dev20211001121248-cp38-cp38-win_amd64.whl (753.1 kB view details)

Uploaded CPython 3.8Windows x86-64

tfa_nightly-0.15.0.dev20211001121248-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.dev20211001121248-cp38-cp38-macosx_11_0_arm64.whl (551.3 kB view details)

Uploaded CPython 3.8macOS 11.0+ ARM64

tfa_nightly-0.15.0.dev20211001121248-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.dev20211001121248-cp37-cp37m-win_amd64.whl (753.1 kB view details)

Uploaded CPython 3.7mWindows x86-64

tfa_nightly-0.15.0.dev20211001121248-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.dev20211001121248-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.dev20211001121248-cp36-cp36m-win_amd64.whl (753.1 kB view details)

Uploaded CPython 3.6mWindows x86-64

tfa_nightly-0.15.0.dev20211001121248-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.dev20211001121248-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.dev20211001121248-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.15.0.dev20211001121248-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.dev20211001121248-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 9c111776e9d224ab32e1ba21904cd9e8fba68ebc9f05a72f00412cac45f07c85
MD5 490df16037ff57ffa385c08f986d36ff
BLAKE2b-256 411e44328010bba304b7c6926b4c3ae3ce2956b2f1d86a000d639eab778f2150

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.15.0.dev20211001121248-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.15.0.dev20211001121248-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 448e491ab3c0d4878c0f3d0a199c027bb8aa341244fe33a6d83ade319564217c
MD5 4982442074bf35f81916e0b5a9421656
BLAKE2b-256 1c2c6a7d04639f197929326f74b2f80ad325b173b9bfc342563a898195211547

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.15.0.dev20211001121248-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.15.0.dev20211001121248-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 6667dfbb46d0a17754e3ef8e6f4ae146eac255761f57f95b996e433236e8e776
MD5 b4354024d725f92673a07f310ca40d2a
BLAKE2b-256 79ddf91607bc2749e660605603261526f0ee43ab03f527b7ffc6ff112d54991c

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.15.0.dev20211001121248-cp39-cp39-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.15.0.dev20211001121248-cp39-cp39-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 27479c91b9d9355723fff4102fe124001074b3350f8d99e68f143d344ae7a47b
MD5 03648a7b709a880546ca7c5af7222345
BLAKE2b-256 9ca426afcf23cc8ea23d5e6be2e9e5bf3aa95e5dfdfc2009d2157a5e89758edd

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.15.0.dev20211001121248-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.15.0.dev20211001121248-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.dev20211001121248-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 8ea6d512af83a07333e4916359125ec7d34464d5676447c8004d839691d3967d
MD5 220125cfd6e790457af3989910259d3a
BLAKE2b-256 33d4a75f307502cb10ae744cff222b4c3e38503c248a3eb8bb49187f8acf22c1

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.15.0.dev20211001121248-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.15.0.dev20211001121248-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 be6fdec734d38bd7a4dbf9c196ecfc258fb74ba092763d0abf239cd442e2dd8c
MD5 6ac91e580727c45c389114337943555f
BLAKE2b-256 dcc41758f9decafade8db5744ae07c3b707d6b46c16e5d4faef59aa2d00cf223

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.15.0.dev20211001121248-cp38-cp38-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.15.0.dev20211001121248-cp38-cp38-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 31d54af6441f90d65a4b7c1ce0396e191fbe513c28c1b21a58e35225e6c187ba
MD5 e97a7ee087cf390711e6405ee6e19593
BLAKE2b-256 d2a3aeca278c9d6f5cbb81d6a1d1e18c3af8b1bed0a6314bb109481cb7894b04

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.15.0.dev20211001121248-cp38-cp38-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.15.0.dev20211001121248-cp38-cp38-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 6515423af13fe406940c33ba9b99032bcc5ec10e06313ef6ddb1ace482de4b56
MD5 d218998b41423327e455b00531add592
BLAKE2b-256 f7cb524bd636f1d93923b991fa2a1f574e484005655c6b2f5c7635512cee8468

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.15.0.dev20211001121248-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.15.0.dev20211001121248-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.dev20211001121248-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 37cf87cfad0075837f3ed693dea14cac01cad655f351d529b6300dbfd8e40f7b
MD5 ebbab30b0069b683cf379d6db7362f8c
BLAKE2b-256 302ba63c1c2f33959c845aca1f4921e1b602e54028f1226fa2697bcf0ecdfb21

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.15.0.dev20211001121248-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.15.0.dev20211001121248-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 a1b9adf9f2216338b87e5809c30c0955ff396b8aa90beb6b2fc177a775ff9f12
MD5 5b0a16c88de259fd1b82bab377e0ab88
BLAKE2b-256 885cc85240866356f05cbeceedea97a298895b4342e9e2c6f0b485085951eb4a

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.15.0.dev20211001121248-cp37-cp37m-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.15.0.dev20211001121248-cp37-cp37m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 b96c49b15d19f13e824a92b2f671dfa6733c45a9490bb49949b51b667983ef02
MD5 d338bee33a86d1c63a480fd991f88787
BLAKE2b-256 95114fe5e9ba89e5893a94c440178a38995904581981f54284a5fde14c11af7f

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.15.0.dev20211001121248-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.15.0.dev20211001121248-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.dev20211001121248-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 ed06779a1a040108105900dc02a9fa2ce1a8696172405a1aba9d22a710506263
MD5 0536262397606d7b4262e5ae5ef41cdf
BLAKE2b-256 a1fcd4ddfd06f93cd04bdee939344119490391ec8831b623db498dd0df514564

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.15.0.dev20211001121248-cp36-cp36m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.15.0.dev20211001121248-cp36-cp36m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 5dc2e1022e2f69da9605864511fa1c12935cfac2c357cf582d47c01be177c78b
MD5 7732a5ec51461ef9431b7cb990368565
BLAKE2b-256 db490b3d4cbd89413c9bfb96167b31810d314e8511cddd7793834a8711666fe0

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.15.0.dev20211001121248-cp36-cp36m-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.15.0.dev20211001121248-cp36-cp36m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 1c49e5a6f5e92df4760eb35969569755e1ebaa38771a7477f82390e92462726f
MD5 ddda171fa41314de1394c9c2fb40ee59
BLAKE2b-256 9fa7098b0a47d7ebfd989cc9d5e4b98ca06cb0a9cddee236cae4578e6758df99

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