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.dev20200217-cp37-cp37m-win_amd64.whl (839.3 kB view details)

Uploaded CPython 3.7mWindows x86-64

tfa_nightly-0.9.0.dev20200217-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.dev20200217-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.dev20200217-cp36-cp36m-win_amd64.whl (839.3 kB view details)

Uploaded CPython 3.6mWindows x86-64

tfa_nightly-0.9.0.dev20200217-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.dev20200217-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.dev20200217-cp35-cp35m-win_amd64.whl (839.3 kB view details)

Uploaded CPython 3.5mWindows x86-64

tfa_nightly-0.9.0.dev20200217-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.dev20200217-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.dev20200217-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.9.0.dev20200217-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/2.22.0 setuptools/45.1.0 requests-toolbelt/0.9.1 tqdm/4.42.1 CPython/3.7.6

File hashes

Hashes for tfa_nightly-0.9.0.dev20200217-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 edb8e0d3a65f54f4ef9ac5ef96492682ce07c4d308dd2b002f243d756eec9cb5
MD5 b1eac8e7b7823b7e98a5baf17a91b1b8
BLAKE2b-256 9207173e788dfe92d2e438f999d1a92f1a9c36a4d8ac9285036b017b1b67244a

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.9.0.dev20200217-cp37-cp37m-manylinux2010_x86_64.whl.

File metadata

  • Download URL: tfa_nightly-0.9.0.dev20200217-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/2.22.0 setuptools/45.1.0 requests-toolbelt/0.9.1 tqdm/4.42.1 CPython/3.7.6

File hashes

Hashes for tfa_nightly-0.9.0.dev20200217-cp37-cp37m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 71b5ae716a289b159d43a6f2cd5104e4fb17a97821236bb71571a6ee2ce4a378
MD5 dcc171ab6aac46c6b56da04173e69c7f
BLAKE2b-256 178149c833d12b1bbc0099b7433b5fe5ada79bb4b1702ff3613c6822a7a777fd

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.9.0.dev20200217-cp37-cp37m-macosx_10_15_x86_64.whl.

File metadata

  • Download URL: tfa_nightly-0.9.0.dev20200217-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/2.22.0 setuptools/45.1.0 requests-toolbelt/0.9.1 tqdm/4.42.1 CPython/3.7.6

File hashes

Hashes for tfa_nightly-0.9.0.dev20200217-cp37-cp37m-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 4f2a9a95cd844b7a5f738d397fbb8fd1ccef4008dc821a8d69e136a3325ef703
MD5 d68235255b5bd211bea2898c0a7ab3cc
BLAKE2b-256 e3f87e458e96ab8a0357f0748d500963e3712377f0fe94f83a4ce0b25832b074

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.9.0.dev20200217-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.9.0.dev20200217-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/2.22.0 setuptools/45.1.0 requests-toolbelt/0.9.1 tqdm/4.42.1 CPython/3.7.6

File hashes

Hashes for tfa_nightly-0.9.0.dev20200217-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 663db1d8df3596976b82a6f6753a20a835ecee98584c9744aeeabb02d6da2e91
MD5 33a7850a2ee352a3c0549463b7c38f3d
BLAKE2b-256 2a4eee3f75b7ae3844c59c4c35a852f6683cb4a1775395aed968ecd54e4cfdde

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.9.0.dev20200217-cp36-cp36m-manylinux2010_x86_64.whl.

File metadata

  • Download URL: tfa_nightly-0.9.0.dev20200217-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/2.22.0 setuptools/45.1.0 requests-toolbelt/0.9.1 tqdm/4.42.1 CPython/3.7.6

File hashes

Hashes for tfa_nightly-0.9.0.dev20200217-cp36-cp36m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 77279530a9ca1f0f1f04a23499f3490f2d9a51ad082cf95ece048ffa9cbe0cd5
MD5 c90dde4ce79945f58f3793156f513f35
BLAKE2b-256 12975908240c88c98afb4765d1e39f56fae61eaada097405114f61498edf5664

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.9.0.dev20200217-cp36-cp36m-macosx_10_15_x86_64.whl.

File metadata

  • Download URL: tfa_nightly-0.9.0.dev20200217-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/2.22.0 setuptools/45.1.0 requests-toolbelt/0.9.1 tqdm/4.42.1 CPython/3.7.6

File hashes

Hashes for tfa_nightly-0.9.0.dev20200217-cp36-cp36m-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 503fa06fe7593776b3207d70e0d9221eb8b3722b87eab5cbaddb8b33bfbb52ae
MD5 d9f4e62796929960fbde1f0018172629
BLAKE2b-256 6945a51d1ff555889a17df97691354c0e20b4ba6cdfc23ec1480ce837afff4dd

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.9.0.dev20200217-cp35-cp35m-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.9.0.dev20200217-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/2.22.0 setuptools/45.1.0 requests-toolbelt/0.9.1 tqdm/4.42.1 CPython/3.7.6

File hashes

Hashes for tfa_nightly-0.9.0.dev20200217-cp35-cp35m-win_amd64.whl
Algorithm Hash digest
SHA256 86b60252be49b75bd7e2c42d3cd245f0dccc7a4e3cc08fc110309ecf142e24e9
MD5 a347215aa6303dec3ce3c90531dd2806
BLAKE2b-256 25e93bd9931a68d63d765bd48929dc836dc84daa8f11a264d5fefc63b836f20e

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.9.0.dev20200217-cp35-cp35m-manylinux2010_x86_64.whl.

File metadata

  • Download URL: tfa_nightly-0.9.0.dev20200217-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/2.22.0 setuptools/45.1.0 requests-toolbelt/0.9.1 tqdm/4.42.1 CPython/3.7.6

File hashes

Hashes for tfa_nightly-0.9.0.dev20200217-cp35-cp35m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 87641165e9b405ef865efce5ca515a83deba53e176c57ca3f7cc4c672f8ec0dc
MD5 07a9c444002e28e14e20592bf62915dd
BLAKE2b-256 4e19213556b14d4cb00dab0964ae226d30c67848093941dd95c72de17f569e34

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.9.0.dev20200217-cp35-cp35m-macosx_10_15_x86_64.whl.

File metadata

  • Download URL: tfa_nightly-0.9.0.dev20200217-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/2.22.0 setuptools/45.1.0 requests-toolbelt/0.9.1 tqdm/4.42.1 CPython/3.7.6

File hashes

Hashes for tfa_nightly-0.9.0.dev20200217-cp35-cp35m-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 e01231ee30608c37f345797df8abd74d8ac053a5883d6b2598067f428808ba94
MD5 4c768238408fbd8e51afb3e9e1347b19
BLAKE2b-256 7f6767c449bfd93497ea63cbdaea5681bbb291a644fcaa45c7fd5864a02d9869

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