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

tfa_nightly-0.11.0.dev20200525233527-cp38-cp38-win_amd64.whl (895.0 kB view details)

Uploaded CPython 3.8 Windows x86-64

tfa_nightly-0.11.0.dev20200525233527-cp38-cp38-manylinux2010_x86_64.whl (1.1 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.12+ x86-64

tfa_nightly-0.11.0.dev20200525233527-cp38-cp38-macosx_10_13_x86_64.whl (589.8 kB view details)

Uploaded CPython 3.8 macOS 10.13+ x86-64

tfa_nightly-0.11.0.dev20200525233527-cp37-cp37m-win_amd64.whl (895.0 kB view details)

Uploaded CPython 3.7m Windows x86-64

tfa_nightly-0.11.0.dev20200525233527-cp37-cp37m-manylinux2010_x86_64.whl (1.1 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.12+ x86-64

tfa_nightly-0.11.0.dev20200525233527-cp37-cp37m-macosx_10_13_x86_64.whl (589.8 kB view details)

Uploaded CPython 3.7m macOS 10.13+ x86-64

tfa_nightly-0.11.0.dev20200525233527-cp36-cp36m-win_amd64.whl (895.0 kB view details)

Uploaded CPython 3.6m Windows x86-64

tfa_nightly-0.11.0.dev20200525233527-cp36-cp36m-manylinux2010_x86_64.whl (1.1 MB view details)

Uploaded CPython 3.6m manylinux: glibc 2.12+ x86-64

tfa_nightly-0.11.0.dev20200525233527-cp36-cp36m-macosx_10_13_x86_64.whl (589.8 kB view details)

Uploaded CPython 3.6m macOS 10.13+ x86-64

tfa_nightly-0.11.0.dev20200525233527-cp35-cp35m-win_amd64.whl (895.0 kB view details)

Uploaded CPython 3.5m Windows x86-64

tfa_nightly-0.11.0.dev20200525233527-cp35-cp35m-manylinux2010_x86_64.whl (1.1 MB view details)

Uploaded CPython 3.5m manylinux: glibc 2.12+ x86-64

tfa_nightly-0.11.0.dev20200525233527-cp35-cp35m-macosx_10_13_x86_64.whl (589.8 kB view details)

Uploaded CPython 3.5m macOS 10.13+ x86-64

File details

Details for the file tfa_nightly-0.11.0.dev20200525233527-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.11.0.dev20200525233527-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 895.0 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.dev20200525233527-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 4dd4a6701d92176de250838abfdb75f1b14d9592a2a8d185a5a0c5cbd0f6390e
MD5 48634fa1acfdf35a7edd68ccb6178957
BLAKE2b-256 f05c953b963566d9bd90aed9cd5de5c813a1762d5f68fe3b1778e373b84265ed

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.11.0.dev20200525233527-cp38-cp38-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.11.0.dev20200525233527-cp38-cp38-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 67dd6d902bd8b4011de5ae60560cd6314935942ab22de7e54c418d34a620ae98
MD5 5d39ba7a9836544fbd97270adc2a01d8
BLAKE2b-256 82553a92f4da0f597c3f987ee7ecc62c7aec8ba1988a57ca688e84c68548d846

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.11.0.dev20200525233527-cp38-cp38-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.11.0.dev20200525233527-cp38-cp38-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 f5c25a0edd3fca14e9cdbb3845a069622666bffb5dc2aff9570d31be9c8d5531
MD5 06d3fcf87d522db02ee3f54256fc6c17
BLAKE2b-256 de365b04f07df8d061bdce1c76694fb2c47b47549b1c832770d82e15ef50b266

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.11.0.dev20200525233527-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.11.0.dev20200525233527-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 895.0 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.dev20200525233527-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 ab6967f10c05047eee4652a786d23953ddab17261992cc7290133ac45b32334b
MD5 16ca805e9f930f7a3375a58cabcb4330
BLAKE2b-256 36a845a17460f91da4c221dde598ff3cc17ce2b5a8ec302bac876ac07ea4a0e1

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.11.0.dev20200525233527-cp37-cp37m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.11.0.dev20200525233527-cp37-cp37m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 62f2690db1f4acb33592c88b746e9c7e03261ce25047c0786d4c86898f8787db
MD5 9c6f0addbe005f1f18f1bced34357043
BLAKE2b-256 ffe9bfc10b3651333a7ad2af8b5db9c773fb3f995ceaba3971056f078e79c8b8

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.11.0.dev20200525233527-cp37-cp37m-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.11.0.dev20200525233527-cp37-cp37m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 09b609707b550b93e06daf854a81b1d7d23b84aeacea27bf63b65f741e19453f
MD5 84a079fb7c5f97905068c5c3fe790519
BLAKE2b-256 f3bf10e119b3b7c2534ddff2b1254660a1293242426d0c791a8904adde2026fd

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.11.0.dev20200525233527-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.11.0.dev20200525233527-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 895.0 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.dev20200525233527-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 75275b8af287947b46e9624e95018d4536fc5d1e23600988be013e8e8231a224
MD5 9e0315d6f7abf25301f1aa9045694369
BLAKE2b-256 96c7b8169066487bc255f4a49881439f88b199147a9485bea7649a9cc1ee1bd5

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.11.0.dev20200525233527-cp36-cp36m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.11.0.dev20200525233527-cp36-cp36m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 9f339bcee481360eb921a90fe95673696630658e237e4b39800dcc95c410cf9f
MD5 37d3470ff5cc837a87bb429dcbc00b55
BLAKE2b-256 099e1ddcddead0f7663cda3a4f5f6179e825b6c71e21a809d883cd778e0496de

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.11.0.dev20200525233527-cp36-cp36m-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.11.0.dev20200525233527-cp36-cp36m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 136c16fc608b17ae03ff1d03efa23093931b247383b1a0cb17cd9f61ea31f9d2
MD5 5113687964aa54f48f1c8d427f6dc2cd
BLAKE2b-256 6dd77a357ca8452e5c6b157ccbccebfe78759b604127341aa5a5e54aff59fe37

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.11.0.dev20200525233527-cp35-cp35m-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.11.0.dev20200525233527-cp35-cp35m-win_amd64.whl
  • Upload date:
  • Size: 895.0 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.dev20200525233527-cp35-cp35m-win_amd64.whl
Algorithm Hash digest
SHA256 6ce64d87bd8d37e7df652c053ca828975697f2065e4aa44dc26752d353fa8c8f
MD5 d5db4bddaeba524b4f5696d1434afab3
BLAKE2b-256 5c3736987a54df0e39942c686f02de18d16e5634684b6b9dfbca8cedaaefd68e

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.11.0.dev20200525233527-cp35-cp35m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.11.0.dev20200525233527-cp35-cp35m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 879efc451ed91d09da00d6e44d8497d33a8faaa5bed9f6c931d96264391e3a4f
MD5 eec8f8bd112812f99b28b6ad6f09bff0
BLAKE2b-256 4972752cb4108b55b43e50200e26c4210d9e83338bfaf640965179805dba51cc

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.11.0.dev20200525233527-cp35-cp35m-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.11.0.dev20200525233527-cp35-cp35m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 7a7959a5957b19849d6e767eb3ba98e516d5f8ddcafee880807c86520bae7b76
MD5 7f0951ce14fe897a702d99644e64db0e
BLAKE2b-256 f157250b42499419fa7d80243cc46a64f42c9d7ac5fe937055467ed2eba715c8

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page