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.dev20200803014932-cp38-cp38-win_amd64.whl (916.3 kB view details)

Uploaded CPython 3.8 Windows x86-64

tfa_nightly-0.11.0.dev20200803014932-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.dev20200803014932-cp38-cp38-macosx_10_13_x86_64.whl (614.8 kB view details)

Uploaded CPython 3.8 macOS 10.13+ x86-64

tfa_nightly-0.11.0.dev20200803014932-cp37-cp37m-win_amd64.whl (916.3 kB view details)

Uploaded CPython 3.7m Windows x86-64

tfa_nightly-0.11.0.dev20200803014932-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.dev20200803014932-cp37-cp37m-macosx_10_13_x86_64.whl (614.8 kB view details)

Uploaded CPython 3.7m macOS 10.13+ x86-64

tfa_nightly-0.11.0.dev20200803014932-cp36-cp36m-win_amd64.whl (916.3 kB view details)

Uploaded CPython 3.6m Windows x86-64

tfa_nightly-0.11.0.dev20200803014932-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.dev20200803014932-cp36-cp36m-macosx_10_13_x86_64.whl (614.8 kB view details)

Uploaded CPython 3.6m macOS 10.13+ x86-64

tfa_nightly-0.11.0.dev20200803014932-cp35-cp35m-win_amd64.whl (916.3 kB view details)

Uploaded CPython 3.5m Windows x86-64

tfa_nightly-0.11.0.dev20200803014932-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.dev20200803014932-cp35-cp35m-macosx_10_13_x86_64.whl (614.8 kB view details)

Uploaded CPython 3.5m macOS 10.13+ x86-64

File details

Details for the file tfa_nightly-0.11.0.dev20200803014932-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.11.0.dev20200803014932-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 916.3 kB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.2.0 requests-toolbelt/0.9.1 tqdm/4.48.1 CPython/3.7.8

File hashes

Hashes for tfa_nightly-0.11.0.dev20200803014932-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 95d188f8124ba16ee86b0a4cd992e3dd82e6ecc368ce980a4c4bc0518a6085e2
MD5 31dd6374b8c6c8c431ba4c3ddb9413af
BLAKE2b-256 1730170b6383ca359fb5ac403cf5888fc697662040d0ab1f62d65aa098a689c0

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.11.0.dev20200803014932-cp38-cp38-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.11.0.dev20200803014932-cp38-cp38-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 f910a199d4a4bd77fa53716392c6e53d008125fb6c6cbf569767027074e18297
MD5 60cd0159f4cb1dc03bb29f90b8856efd
BLAKE2b-256 3cbfbabb20ee05c8bcbf3e99b09931b4c535967a757745c80e4b7585e82aedca

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.11.0.dev20200803014932-cp38-cp38-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.11.0.dev20200803014932-cp38-cp38-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 03972a2e34479b03ee935e36ed4f7ed409174aeca21796155557e30c616cc47d
MD5 17d549c35c603aac7a959e32f18517b2
BLAKE2b-256 d0ac46e98d9f1d981e6e10026fa4e01b11c3a7a0c4049546c59724db95ddffb3

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.11.0.dev20200803014932-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.11.0.dev20200803014932-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 916.3 kB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.2.0 requests-toolbelt/0.9.1 tqdm/4.48.1 CPython/3.7.8

File hashes

Hashes for tfa_nightly-0.11.0.dev20200803014932-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 7176f26a5a3e428878b916227adb0e49f496d18cb43a8cb09c466f2739e93310
MD5 4cd5a93ce8d736d0ad5ffd7de855a4f8
BLAKE2b-256 6d359dec6e573e73b181e959e2a851001085333755c6f249e32c8c29474fd390

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.11.0.dev20200803014932-cp37-cp37m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.11.0.dev20200803014932-cp37-cp37m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 655287e4131b512f27859a8cad6f6fcc65813ee7df5351df4c30d01441e57e07
MD5 5ef3a3e72fe60f5770959d873f8e12e1
BLAKE2b-256 fec1fa9946ac6c0f8ec1c70e444ffb6a9b5aa650422d4733dc57d3d745961f78

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.11.0.dev20200803014932-cp37-cp37m-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.11.0.dev20200803014932-cp37-cp37m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 f242a242f8de31d50e06326f7302e11692814096cf03d812f445213b27b63f74
MD5 f9b56de7d597505ab84538fc71fe79f7
BLAKE2b-256 913cfbb7d88a0945234ac685ec44461d78c2dad57d97770e04eb36811cb3a700

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.11.0.dev20200803014932-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.11.0.dev20200803014932-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 916.3 kB
  • Tags: CPython 3.6m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.2.0 requests-toolbelt/0.9.1 tqdm/4.48.1 CPython/3.7.8

File hashes

Hashes for tfa_nightly-0.11.0.dev20200803014932-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 3133316e6e46f6d4703d07ae6a40c098550537b3957f455f6e730cb294005dfa
MD5 12779867f30e56b26c09b9fddf740d4b
BLAKE2b-256 490637900d281f52b4d128a815740459a48a8896c72db89f0664571fc89df4bc

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.11.0.dev20200803014932-cp36-cp36m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.11.0.dev20200803014932-cp36-cp36m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 28f641deb70665d26899de3069b9dc4e73c1a60479c3f925eb1d2bd70f69d048
MD5 1aa36f1a44a1e9c61f321136d5d85874
BLAKE2b-256 47e15822565e09952efc9fd1bab7d2dc0dac60eecb5d1a13abdff9fd6a4b2ff8

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.11.0.dev20200803014932-cp36-cp36m-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.11.0.dev20200803014932-cp36-cp36m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 61b33594eeda921f0f230ccf06aa048b204b5c779402e653d7dd860d38e4b789
MD5 9da1af28b78894aa24dd2d07fec61fdb
BLAKE2b-256 c465a2365ef35bf37f6e0dac93a45926008b59406c7084677bb9007d7d7e8ae0

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.11.0.dev20200803014932-cp35-cp35m-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.11.0.dev20200803014932-cp35-cp35m-win_amd64.whl
  • Upload date:
  • Size: 916.3 kB
  • Tags: CPython 3.5m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.2.0 requests-toolbelt/0.9.1 tqdm/4.48.1 CPython/3.7.8

File hashes

Hashes for tfa_nightly-0.11.0.dev20200803014932-cp35-cp35m-win_amd64.whl
Algorithm Hash digest
SHA256 cea9b86162938821dd20cc148de376391d42a730142160303f69cc77b66cb1dc
MD5 7524aaf387c5ab86001aeff73e05b3e2
BLAKE2b-256 d1f0877d027ad886f36eac2ff8701abd85fcec867da8c484e75630cf8850d44a

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.11.0.dev20200803014932-cp35-cp35m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.11.0.dev20200803014932-cp35-cp35m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 ed5e68a70a7e0e1ade69d82c4190e39fe41f480b39c9310eb0523ab55c243cd5
MD5 3c70d76ba625f9a97b2075c905299fe6
BLAKE2b-256 1f766862d9369a60f08c69c87c2ad00cc0063e2715e250d949cc7f77d2ad3fad

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.11.0.dev20200803014932-cp35-cp35m-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.11.0.dev20200803014932-cp35-cp35m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 e063f7db58eb1e1d1789fab2a3f5a875d52c821a5c547e0d0f14b1b5f34da326
MD5 8da18e60011c4ee0a09ab8d2db4083c6
BLAKE2b-256 62fa7fc9f8947519c4a7be5e8c42e20c8cfd0f6263f5686105c884aba1786f63

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