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.dev20200520032238-cp38-cp38-win_amd64.whl (895.3 kB view details)

Uploaded CPython 3.8Windows x86-64

tfa_nightly-0.11.0.dev20200520032238-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.dev20200520032238-cp38-cp38-macosx_10_13_x86_64.whl (590.1 kB view details)

Uploaded CPython 3.8macOS 10.13+ x86-64

tfa_nightly-0.11.0.dev20200520032238-cp37-cp37m-win_amd64.whl (895.3 kB view details)

Uploaded CPython 3.7mWindows x86-64

tfa_nightly-0.11.0.dev20200520032238-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.dev20200520032238-cp37-cp37m-macosx_10_13_x86_64.whl (590.1 kB view details)

Uploaded CPython 3.7mmacOS 10.13+ x86-64

tfa_nightly-0.11.0.dev20200520032238-cp36-cp36m-win_amd64.whl (895.3 kB view details)

Uploaded CPython 3.6mWindows x86-64

tfa_nightly-0.11.0.dev20200520032238-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.dev20200520032238-cp36-cp36m-macosx_10_13_x86_64.whl (590.1 kB view details)

Uploaded CPython 3.6mmacOS 10.13+ x86-64

tfa_nightly-0.11.0.dev20200520032238-cp35-cp35m-win_amd64.whl (895.3 kB view details)

Uploaded CPython 3.5mWindows x86-64

tfa_nightly-0.11.0.dev20200520032238-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.dev20200520032238-cp35-cp35m-macosx_10_13_x86_64.whl (590.1 kB view details)

Uploaded CPython 3.5mmacOS 10.13+ x86-64

File details

Details for the file tfa_nightly-0.11.0.dev20200520032238-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.11.0.dev20200520032238-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 895.3 kB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.4.0 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.7.7

File hashes

Hashes for tfa_nightly-0.11.0.dev20200520032238-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 5056f37d68146d3047ee84e5a8d05d160c64ce007746284a50aef78acefff134
MD5 c959c6b27dbd9c5f369a1bb30c737c37
BLAKE2b-256 d1dcff6a03c488d915ac0b68051569ebaf4e97152a00515420a005abfafa2966

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.11.0.dev20200520032238-cp38-cp38-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.11.0.dev20200520032238-cp38-cp38-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 2ab4186b6cd89215733f8579dbb6fb0215d7bc77a54d088d8b6255c62b21db90
MD5 9210c8689ed22d60ba1c1f838c79eabf
BLAKE2b-256 75d9b0bd1f94443cde4d3b74131d144f0d4fed1553d23c15c81f84a5402d0f1d

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.11.0.dev20200520032238-cp38-cp38-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.11.0.dev20200520032238-cp38-cp38-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 315224c4fd5d44a0f9441e4601dd854f5d8d1f69a78a06e40b6801ee78774375
MD5 10b05e44d30136158a322d745aa4bef3
BLAKE2b-256 691d1f5307effef917f4ee71a1e8f4d5ffb8a59655d3a6aaf5dda7df822138e6

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.11.0.dev20200520032238-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.11.0.dev20200520032238-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 895.3 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/46.4.0 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.7.7

File hashes

Hashes for tfa_nightly-0.11.0.dev20200520032238-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 7f334356fc87812e9893cf6acd3fb0a66d507dd84bd4e6cf13c11b70000650de
MD5 6559995f57101cb504d3cc20dffec640
BLAKE2b-256 b7033b46f07f65c64aaa7a2bdf7289fe66f1e80c77a975f6084a7cdba1745d7a

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.11.0.dev20200520032238-cp37-cp37m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.11.0.dev20200520032238-cp37-cp37m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 34ce03fbb505f17f51b11cf2acf0e86e864149e260f86d138b0bf9979f1bd537
MD5 087a98d5531f12705e3cebb0cf5eb178
BLAKE2b-256 5a07403c03368f6c383ac9a44f57ccb29f0c89b0803351a2e0f14c5bbd109d67

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.11.0.dev20200520032238-cp37-cp37m-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.11.0.dev20200520032238-cp37-cp37m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 318df4a32a55b90a6d6b8dc684dbf41b8fda515885252606012676e447a2868f
MD5 bb330b951f552583eab018e01c813226
BLAKE2b-256 7bc113eece89f3b94e338f748e0f6ed453cf195200bfff65ed3194bd0f5a861c

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.11.0.dev20200520032238-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.11.0.dev20200520032238-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 895.3 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/46.4.0 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.7.7

File hashes

Hashes for tfa_nightly-0.11.0.dev20200520032238-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 ea5cbb46aada9adbd1fa693995e64cf8b982b8654dc8b294e2aeb4dff02acd29
MD5 dc29d1b2da4efa16e1cea24cd623f40a
BLAKE2b-256 a36ca8812685ec4b6b1953e957b8996fc244a23960833be81616aa555b633392

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.11.0.dev20200520032238-cp36-cp36m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.11.0.dev20200520032238-cp36-cp36m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 4d7f458660b91dbc1653305166a313c1a057aced46697e6f33cd5bc944f755a7
MD5 3f25f501d281d076031aafa53081a08a
BLAKE2b-256 c3ccbd50a63311b0175152f853737cd1df95c6f2b619da1da2d7f1bc40ff727b

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.11.0.dev20200520032238-cp36-cp36m-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.11.0.dev20200520032238-cp36-cp36m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 7ab96cb495761e34fe7253c2867c712565989a5d9ed31f7f9707688d6031b1be
MD5 de14698367084f88e77bdbdae8a91e80
BLAKE2b-256 4c18aa4a1f7c5cc7f74a1c8bfc041210fd0327d3cd872668d5a408e9eac662b4

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.11.0.dev20200520032238-cp35-cp35m-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.11.0.dev20200520032238-cp35-cp35m-win_amd64.whl
  • Upload date:
  • Size: 895.3 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/46.4.0 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.7.7

File hashes

Hashes for tfa_nightly-0.11.0.dev20200520032238-cp35-cp35m-win_amd64.whl
Algorithm Hash digest
SHA256 c5dd163b6f1bddd71ae6ee6de3f94b00ecae1fd64a8c8dc7276012392005f6d2
MD5 710c9ee054d5518cf8dd36a618fd3a28
BLAKE2b-256 77458c4a46a71fbb831e7dc93a8f09792802601c7204f77c40234e8e1d460249

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.11.0.dev20200520032238-cp35-cp35m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.11.0.dev20200520032238-cp35-cp35m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 0b50fa485d369c6eff958376e0de4a239bc4c3ef46527ec4b7fa21f40004845e
MD5 8e180b21a02622235f41d34bac7cd3b1
BLAKE2b-256 5ca9b8e4c94de4d96586ebcabc7aeaa8b422d95bfde9cc4643e7f60f6441f06c

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.11.0.dev20200520032238-cp35-cp35m-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.11.0.dev20200520032238-cp35-cp35m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 6095751c86cfe0c6d4b6ee2e1a1cb6553147a0b237420524f0f57ffe6fb554d4
MD5 0dadf2611eb9fc0db25c44079a4e0db7
BLAKE2b-256 e44bc7d560abed963258906c936dda669b526ce1c61af6a173cf565a3f7ed236

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