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-0.9.0.dev20200208-cp37-cp37m-win_amd64.whl (838.3 kB view details)

Uploaded CPython 3.7m Windows x86-64

tfa_nightly-0.9.0.dev20200208-cp37-cp37m-manylinux2010_x86_64.whl (1.0 MB view details)

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

tfa_nightly-0.9.0.dev20200208-cp37-cp37m-macosx_10_15_x86_64.whl (546.6 kB view details)

Uploaded CPython 3.7m macOS 10.15+ x86-64

tfa_nightly-0.9.0.dev20200208-cp36-cp36m-win_amd64.whl (838.3 kB view details)

Uploaded CPython 3.6m Windows x86-64

tfa_nightly-0.9.0.dev20200208-cp36-cp36m-manylinux2010_x86_64.whl (1.0 MB view details)

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

tfa_nightly-0.9.0.dev20200208-cp36-cp36m-macosx_10_15_x86_64.whl (546.6 kB view details)

Uploaded CPython 3.6m macOS 10.15+ x86-64

tfa_nightly-0.9.0.dev20200208-cp35-cp35m-win_amd64.whl (838.3 kB view details)

Uploaded CPython 3.5m Windows x86-64

tfa_nightly-0.9.0.dev20200208-cp35-cp35m-manylinux2010_x86_64.whl (1.0 MB view details)

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

tfa_nightly-0.9.0.dev20200208-cp35-cp35m-macosx_10_15_x86_64.whl (546.6 kB view details)

Uploaded CPython 3.5m macOS 10.15+ x86-64

File details

Details for the file tfa_nightly-0.9.0.dev20200208-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.9.0.dev20200208-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 838.3 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.dev20200208-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 efde7041564835be3f852ce9a13d39ee02a37cf9cfae90b690f48f95c8c475a4
MD5 fc90a872f6bea48fe9aa13ec4803b176
BLAKE2b-256 6136e93d9a84f87f88439168458110065a7b4998cd6d7a2c42da13ab7d1dd7c8

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.9.0.dev20200208-cp37-cp37m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.9.0.dev20200208-cp37-cp37m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 bfe2a030b5ac83499b35b952e89adf333ee664a257f0443a60c762eaed68e2c8
MD5 8de856c9b291eec4033459e18d0f62cb
BLAKE2b-256 51dfbeebbb205c5103a3d8d356d1e86b21a65320678a55515adb82391cae269a

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.9.0.dev20200208-cp37-cp37m-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.9.0.dev20200208-cp37-cp37m-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 e178092cf0458ce039e493064c318d68916544a8ec109b5cd87033fa4647e161
MD5 1ab1bb8344c83d1635c3a5bf6170624c
BLAKE2b-256 24b1db0754ec44c9723ecffc95d482a3136a8cac350863f8797aa83b42744c89

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.9.0.dev20200208-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.9.0.dev20200208-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 838.3 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.dev20200208-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 3a7c5feb5d8b79701021e2f0f93d4424e66e3b59baa2657c57a4616ef4cd5f38
MD5 7f460d457c62fdfbde27b8de4906ec00
BLAKE2b-256 c6e61a910b2d12cf1f2475540698a4d798d3e4f3f4add33043272001b9fb9102

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.9.0.dev20200208-cp36-cp36m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.9.0.dev20200208-cp36-cp36m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 cf1ff976134f55ecf666c102e3d54683f6483ed3bf49a45f30ce2f1c35967383
MD5 873fd8b09521e5e7e16cd136e45f6229
BLAKE2b-256 9f05c65e53e49bab7ee1bc18c9c6d8e96a2f74584617354aa64165b552942562

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.9.0.dev20200208-cp36-cp36m-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.9.0.dev20200208-cp36-cp36m-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 a4ccb86b378b3b07beaef74b0768d4fd8dcb53959e5d1f9620102dc78e93f45a
MD5 4464b86fb40e6f96dc8de0ab2494a644
BLAKE2b-256 71b6092a721faabb68f8639a6a8396f8be4d7cc6b1e0e8a3fb44247284f730b5

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.9.0.dev20200208-cp35-cp35m-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.9.0.dev20200208-cp35-cp35m-win_amd64.whl
  • Upload date:
  • Size: 838.3 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.dev20200208-cp35-cp35m-win_amd64.whl
Algorithm Hash digest
SHA256 ff0b1dfe6a0c55457cd47df4c6818de8ceb46a67d1cb2a9904e3fba9be4c6b04
MD5 2558f0a8ef823ee9cf112f0050cef705
BLAKE2b-256 c1489762c53b9cb522bacf264fcfa29d57c9b91445d55685124cd295c7867e39

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.9.0.dev20200208-cp35-cp35m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.9.0.dev20200208-cp35-cp35m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 0f5d4e6fb8658005200279fd62a39870bbf32f1d81838a15e5d71d227197eb46
MD5 9d52194a3851f4e11c5ce53751bdd69b
BLAKE2b-256 c1c953bb54470818e6aa17f02e79715d3e3c5dd4ecb59f351ab35dd98d9b982b

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.9.0.dev20200208-cp35-cp35m-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.9.0.dev20200208-cp35-cp35m-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 5728936d0a218c9abeb9adb346ac8612c813eb6fd71c1907fd96420ce0566e5d
MD5 f9237d766c7b0cf453302773637d443a
BLAKE2b-256 5e4f4313cbfd19f716d18be6cd0e77fbdccdfe9e80142e3f860c699b06b91d31

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