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-0.9.0.dev20200220-cp37-cp37m-win_amd64.whl (839.3 kB view details)

Uploaded CPython 3.7mWindows x86-64

tfa_nightly-0.9.0.dev20200220-cp37-cp37m-manylinux2010_x86_64.whl (1.0 MB view details)

Uploaded CPython 3.7mmanylinux: glibc 2.12+ x86-64

tfa_nightly-0.9.0.dev20200220-cp37-cp37m-macosx_10_15_x86_64.whl (547.7 kB view details)

Uploaded CPython 3.7mmacOS 10.15+ x86-64

tfa_nightly-0.9.0.dev20200220-cp36-cp36m-win_amd64.whl (839.3 kB view details)

Uploaded CPython 3.6mWindows x86-64

tfa_nightly-0.9.0.dev20200220-cp36-cp36m-manylinux2010_x86_64.whl (1.0 MB view details)

Uploaded CPython 3.6mmanylinux: glibc 2.12+ x86-64

tfa_nightly-0.9.0.dev20200220-cp36-cp36m-macosx_10_15_x86_64.whl (547.7 kB view details)

Uploaded CPython 3.6mmacOS 10.15+ x86-64

tfa_nightly-0.9.0.dev20200220-cp35-cp35m-win_amd64.whl (839.3 kB view details)

Uploaded CPython 3.5mWindows x86-64

tfa_nightly-0.9.0.dev20200220-cp35-cp35m-manylinux2010_x86_64.whl (1.0 MB view details)

Uploaded CPython 3.5mmanylinux: glibc 2.12+ x86-64

tfa_nightly-0.9.0.dev20200220-cp35-cp35m-macosx_10_15_x86_64.whl (547.7 kB view details)

Uploaded CPython 3.5mmacOS 10.15+ x86-64

File details

Details for the file tfa_nightly-0.9.0.dev20200220-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.9.0.dev20200220-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 839.3 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/45.1.0 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.7.6

File hashes

Hashes for tfa_nightly-0.9.0.dev20200220-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 3093aff08bea24a6f2f2df66b107e42e44b111f32533935e51efd9cf035048a1
MD5 5e35e571bb7749f1f59ad4fd411f05c6
BLAKE2b-256 3a8d3fe18fb1dc2d9f1e4a4efb70bbfc787a5a1587003e58679f3e993e3367f2

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.9.0.dev20200220-cp37-cp37m-manylinux2010_x86_64.whl.

File metadata

  • Download URL: tfa_nightly-0.9.0.dev20200220-cp37-cp37m-manylinux2010_x86_64.whl
  • Upload date:
  • Size: 1.0 MB
  • Tags: CPython 3.7m, manylinux: glibc 2.12+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/45.1.0 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.7.6

File hashes

Hashes for tfa_nightly-0.9.0.dev20200220-cp37-cp37m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 a7745632ed4f0dc7331505b8124a61b3e0eab395f6d2bd5c77b839e7426222f6
MD5 b73f2e0c2e0934ac49551e38032e2be9
BLAKE2b-256 c694df6f3829732cddae1de18be872388c51b70574590cfe7e94c6f63eb3f44d

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.9.0.dev20200220-cp37-cp37m-macosx_10_15_x86_64.whl.

File metadata

  • Download URL: tfa_nightly-0.9.0.dev20200220-cp37-cp37m-macosx_10_15_x86_64.whl
  • Upload date:
  • Size: 547.7 kB
  • Tags: CPython 3.7m, macOS 10.15+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/45.1.0 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.7.6

File hashes

Hashes for tfa_nightly-0.9.0.dev20200220-cp37-cp37m-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 4fbc8ec2476190571d49e177f4ccf0438fc136455ae5ee2cc0fd85eb2908dfe6
MD5 5cc4a45cade31697006c56b67bc5a6d9
BLAKE2b-256 71c8e06c89edc8df86d027763a73d20ecab0e3a4f6c5a78663d33e6fa4ca425c

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.9.0.dev20200220-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.9.0.dev20200220-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 839.3 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/45.1.0 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.7.6

File hashes

Hashes for tfa_nightly-0.9.0.dev20200220-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 1df499c16f4609c038fff4f0df73e6f4fb65244300159d765648bd2902b313a2
MD5 1e698293eea627e84ac3161da657216a
BLAKE2b-256 6b2dd16d5e50e1fbbe613ac8d89c128f356dc78a43cd1fa9f0cff10ba8da3719

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.9.0.dev20200220-cp36-cp36m-manylinux2010_x86_64.whl.

File metadata

  • Download URL: tfa_nightly-0.9.0.dev20200220-cp36-cp36m-manylinux2010_x86_64.whl
  • Upload date:
  • Size: 1.0 MB
  • Tags: CPython 3.6m, manylinux: glibc 2.12+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/45.1.0 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.7.6

File hashes

Hashes for tfa_nightly-0.9.0.dev20200220-cp36-cp36m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 4e2c4533a6d7449740c20d4fc9a7d37ab52163cf82e713226ffb0692900ac00c
MD5 2659a103876ad0573c87199da070c64d
BLAKE2b-256 5ddc659913ed7e9a0de7be862b686629fe156e2510ba08ec18bae4df417177be

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.9.0.dev20200220-cp36-cp36m-macosx_10_15_x86_64.whl.

File metadata

  • Download URL: tfa_nightly-0.9.0.dev20200220-cp36-cp36m-macosx_10_15_x86_64.whl
  • Upload date:
  • Size: 547.7 kB
  • Tags: CPython 3.6m, macOS 10.15+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/45.1.0 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.7.6

File hashes

Hashes for tfa_nightly-0.9.0.dev20200220-cp36-cp36m-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 d434f6e2bf072c288a4ef6f60984e5b9dc2a18f56dceaa88c585e4975f25b322
MD5 dd5bb142080b976d72745b9ab424f143
BLAKE2b-256 1798117a621c74a7b47452aa122a962bc5bf144252505564f93389e340e73afc

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.9.0.dev20200220-cp35-cp35m-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.9.0.dev20200220-cp35-cp35m-win_amd64.whl
  • Upload date:
  • Size: 839.3 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/45.1.0 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.7.6

File hashes

Hashes for tfa_nightly-0.9.0.dev20200220-cp35-cp35m-win_amd64.whl
Algorithm Hash digest
SHA256 fc7672011946d5b2b5893af52e82b60070d5aed03adfed85e16d8744ed2f72a9
MD5 ed440e76867260a26f3665f7bb5d8f63
BLAKE2b-256 af87b896967a9a31afab44e3993c3c473dafe6872ba2f94e0e8af1793079050e

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.9.0.dev20200220-cp35-cp35m-manylinux2010_x86_64.whl.

File metadata

  • Download URL: tfa_nightly-0.9.0.dev20200220-cp35-cp35m-manylinux2010_x86_64.whl
  • Upload date:
  • Size: 1.0 MB
  • Tags: CPython 3.5m, manylinux: glibc 2.12+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/45.1.0 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.7.6

File hashes

Hashes for tfa_nightly-0.9.0.dev20200220-cp35-cp35m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 38bca999eb48e3bac046b80194aea9d9373e97d6ee0a7112301831b826433933
MD5 1b384f4c990612d9e14633f3eef5a307
BLAKE2b-256 917dca31b4a9df4917385c8cbb9e2b0b22a71242b7e21d539b24ce2c676659c5

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.9.0.dev20200220-cp35-cp35m-macosx_10_15_x86_64.whl.

File metadata

  • Download URL: tfa_nightly-0.9.0.dev20200220-cp35-cp35m-macosx_10_15_x86_64.whl
  • Upload date:
  • Size: 547.7 kB
  • Tags: CPython 3.5m, macOS 10.15+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/45.1.0 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.7.6

File hashes

Hashes for tfa_nightly-0.9.0.dev20200220-cp35-cp35m-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 4d4d581a2584d40eab93ca52466723af30bfed1c715f699d1b91e0d87c85b8ce
MD5 9e05482274353a661c0709c2ba1d138d
BLAKE2b-256 2202ea09dc8af3a979403161c5dc67f23728b195a36520dd7c619adc5959a8d8

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