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-0.7.0.dev20191105-cp37-cp37m-manylinux2010_x86_64.whl (1.9 MB view details)

Uploaded CPython 3.7mmanylinux: glibc 2.12+ x86-64

tfa_nightly-0.7.0.dev20191105-cp37-cp37m-macosx_10_13_x86_64.whl (489.5 kB view details)

Uploaded CPython 3.7mmacOS 10.13+ x86-64

tfa_nightly-0.7.0.dev20191105-cp36-cp36m-manylinux2010_x86_64.whl (1.9 MB view details)

Uploaded CPython 3.6mmanylinux: glibc 2.12+ x86-64

tfa_nightly-0.7.0.dev20191105-cp36-cp36m-macosx_10_13_x86_64.whl (489.5 kB view details)

Uploaded CPython 3.6mmacOS 10.13+ x86-64

tfa_nightly-0.7.0.dev20191105-cp35-cp35m-manylinux2010_x86_64.whl (1.9 MB view details)

Uploaded CPython 3.5mmanylinux: glibc 2.12+ x86-64

tfa_nightly-0.7.0.dev20191105-cp35-cp35m-macosx_10_13_x86_64.whl (489.5 kB view details)

Uploaded CPython 3.5mmacOS 10.13+ x86-64

tfa_nightly-0.7.0.dev20191105-cp27-cp27mu-manylinux2010_x86_64.whl (1.9 MB view details)

Uploaded CPython 2.7mumanylinux: glibc 2.12+ x86-64

tfa_nightly-0.7.0.dev20191105-cp27-cp27m-macosx_10_13_x86_64.whl (489.4 kB view details)

Uploaded CPython 2.7mmacOS 10.13+ x86-64

File details

Details for the file tfa_nightly-0.7.0.dev20191105-cp37-cp37m-manylinux2010_x86_64.whl.

File metadata

  • Download URL: tfa_nightly-0.7.0.dev20191105-cp37-cp37m-manylinux2010_x86_64.whl
  • Upload date:
  • Size: 1.9 MB
  • Tags: CPython 3.7m, manylinux: glibc 2.12+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.6.0 requests-toolbelt/0.9.1 tqdm/4.37.0 CPython/2.7.12

File hashes

Hashes for tfa_nightly-0.7.0.dev20191105-cp37-cp37m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 af475455a05d9547b85ea2a43bb33849d85cb76d8e578905a666e60a79ae1517
MD5 60567e3f197c44b21d51cbd7a9dbf815
BLAKE2b-256 ec2b5d7a8975e8143a80f771abcd52a66245742d354ed1035489f280a1a9840f

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.7.0.dev20191105-cp37-cp37m-macosx_10_13_x86_64.whl.

File metadata

  • Download URL: tfa_nightly-0.7.0.dev20191105-cp37-cp37m-macosx_10_13_x86_64.whl
  • Upload date:
  • Size: 489.5 kB
  • Tags: CPython 3.7m, macOS 10.13+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.6.0 requests-toolbelt/0.9.1 tqdm/4.37.0 CPython/2.7.15

File hashes

Hashes for tfa_nightly-0.7.0.dev20191105-cp37-cp37m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 5c18f51e34b5b322e7d59753fa638922b67965884fea6eff9e19bdfc9b2620b2
MD5 e37c5aafda60c9f24b521ad538e1efed
BLAKE2b-256 790c2cc12add829df9e723abb35fe14b3071f680af69194c08415ac6ee988b01

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.7.0.dev20191105-cp36-cp36m-manylinux2010_x86_64.whl.

File metadata

  • Download URL: tfa_nightly-0.7.0.dev20191105-cp36-cp36m-manylinux2010_x86_64.whl
  • Upload date:
  • Size: 1.9 MB
  • Tags: CPython 3.6m, manylinux: glibc 2.12+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.6.0 requests-toolbelt/0.9.1 tqdm/4.37.0 CPython/2.7.12

File hashes

Hashes for tfa_nightly-0.7.0.dev20191105-cp36-cp36m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 cbd89a5dd1a5d27af1f721f7c783ecfc6ff6c28a2a220d9b162666b65e9c6611
MD5 82fb38d39b6a36c2072e85ceb6b22adf
BLAKE2b-256 f68dae5ab30f7a18deb77278d0952980a501d827aad961bd4537f8bc49023d7a

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.7.0.dev20191105-cp36-cp36m-macosx_10_13_x86_64.whl.

File metadata

  • Download URL: tfa_nightly-0.7.0.dev20191105-cp36-cp36m-macosx_10_13_x86_64.whl
  • Upload date:
  • Size: 489.5 kB
  • Tags: CPython 3.6m, macOS 10.13+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.6.0 requests-toolbelt/0.9.1 tqdm/4.37.0 CPython/2.7.15

File hashes

Hashes for tfa_nightly-0.7.0.dev20191105-cp36-cp36m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 c8500148c13e2dc93a4d6f7daf8e0d26723db4e8555ffd0f1f5f68a9b71e36da
MD5 38cce423f7441f1de6e99dc5a57cd9f3
BLAKE2b-256 eb6d765915efa61a96a8639fdc1e062fd87bd291b8724c647fd0c89d497f2b49

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.7.0.dev20191105-cp35-cp35m-manylinux2010_x86_64.whl.

File metadata

  • Download URL: tfa_nightly-0.7.0.dev20191105-cp35-cp35m-manylinux2010_x86_64.whl
  • Upload date:
  • Size: 1.9 MB
  • Tags: CPython 3.5m, manylinux: glibc 2.12+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.6.0 requests-toolbelt/0.9.1 tqdm/4.37.0 CPython/2.7.12

File hashes

Hashes for tfa_nightly-0.7.0.dev20191105-cp35-cp35m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 00e7b659ad51841c2877eed73b987b4932dd35652f82ba22079c311c6e4fbd5c
MD5 a6fcda07f650af8164fa909419f633d0
BLAKE2b-256 9ef3de8f9122f3667802c346e6f2c8a6f6dfc82dd82811f6d52bd21e5f3d778b

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.7.0.dev20191105-cp35-cp35m-macosx_10_13_x86_64.whl.

File metadata

  • Download URL: tfa_nightly-0.7.0.dev20191105-cp35-cp35m-macosx_10_13_x86_64.whl
  • Upload date:
  • Size: 489.5 kB
  • Tags: CPython 3.5m, macOS 10.13+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.6.0 requests-toolbelt/0.9.1 tqdm/4.37.0 CPython/2.7.15

File hashes

Hashes for tfa_nightly-0.7.0.dev20191105-cp35-cp35m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 3f29d3b14280f3bd32e4197eed8ecf0e7dcd3cd6dee5f4227694c9ae26477228
MD5 029ec71228e6b372283f8546fbf621fd
BLAKE2b-256 84fc424f65d0f192d99e9290b97d340f63dc7932625fcae92da4cca720d9290b

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.7.0.dev20191105-cp27-cp27mu-manylinux2010_x86_64.whl.

File metadata

  • Download URL: tfa_nightly-0.7.0.dev20191105-cp27-cp27mu-manylinux2010_x86_64.whl
  • Upload date:
  • Size: 1.9 MB
  • Tags: CPython 2.7mu, manylinux: glibc 2.12+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.6.0 requests-toolbelt/0.9.1 tqdm/4.37.0 CPython/2.7.12

File hashes

Hashes for tfa_nightly-0.7.0.dev20191105-cp27-cp27mu-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 dcbfd8fee0ff19e8aa5723c0964d69bf5768ac039c64a4801619d52256b75afd
MD5 fe064521092d0fd89d0fe2edeec37ee5
BLAKE2b-256 8ae609d9513f19e3597041f4d02714835b64487f571edd765c77330075067d78

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.7.0.dev20191105-cp27-cp27m-macosx_10_13_x86_64.whl.

File metadata

  • Download URL: tfa_nightly-0.7.0.dev20191105-cp27-cp27m-macosx_10_13_x86_64.whl
  • Upload date:
  • Size: 489.4 kB
  • Tags: CPython 2.7m, macOS 10.13+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.6.0 requests-toolbelt/0.9.1 tqdm/4.37.0 CPython/2.7.15

File hashes

Hashes for tfa_nightly-0.7.0.dev20191105-cp27-cp27m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 8616fb761790abcb17dfa81376bf32fc8ffb0834f9b73d8f960805c8788f5c57
MD5 f1eca1170843943d00b68acb670b5a8d
BLAKE2b-256 41789b3bfbadec01becc1e501937afe7fe502963049bf537ccd0ac4476589dd2

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