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-0.5.0.dev20190702-cp36-cp36m-macosx_10_13_x86_64.whl (447.0 kB view details)

Uploaded CPython 3.6mmacOS 10.13+ x86-64

tfa_nightly-0.5.0.dev20190702-cp35-cp35m-macosx_10_13_x86_64.whl (447.0 kB view details)

Uploaded CPython 3.5mmacOS 10.13+ x86-64

tfa_nightly-0.5.0.dev20190702-cp34-cp34m-macosx_10_13_x86_64.whl (447.0 kB view details)

Uploaded CPython 3.4mmacOS 10.13+ x86-64

tfa_nightly-0.5.0.dev20190702-cp27-cp27m-macosx_10_13_x86_64.whl (447.0 kB view details)

Uploaded CPython 2.7mmacOS 10.13+ x86-64

File details

Details for the file tfa_nightly-0.5.0.dev20190702-cp36-cp36m-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.5.0.dev20190702-cp36-cp36m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 26353656c065b83d19a3fa15c8c5d235bd2949da2f8ee6a8d70299d0d645d94a
MD5 0ed01ebd552f0fd1d787bee4fcc0f173
BLAKE2b-256 64faacee5eb9a80b1c84534c43689d907eae57bb18bc39a4afbb4488a303fdbb

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.5.0.dev20190702-cp36-cp36m-macosx_10_13_x86_64.whl.

File metadata

  • Download URL: tfa_nightly-0.5.0.dev20190702-cp36-cp36m-macosx_10_13_x86_64.whl
  • Upload date:
  • Size: 447.0 kB
  • Tags: CPython 3.6m, macOS 10.13+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/2.7.15

File hashes

Hashes for tfa_nightly-0.5.0.dev20190702-cp36-cp36m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 4a24a62a7bb78ee9962e604e6955b9212f0622593ccf0ff3b3b7d24cfc38b6f9
MD5 591e36192ab452e83a9592e2a6300142
BLAKE2b-256 7133fdbd9914e18b14eaf6dfa4d8885ff1b1fee2764772bc52a70d9b35f2eec7

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.5.0.dev20190702-cp35-cp35m-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.5.0.dev20190702-cp35-cp35m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 347ed11208f081462a66a484f3b128e8a326454cf33f9e5bc73ef4db4b04e0b9
MD5 5b4bed76f34f1e29b18506b2b1cf4575
BLAKE2b-256 dca98495f3c9eefe3cf07cd337375118ceea6a9ceb5228686e2eba8873d910ca

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.5.0.dev20190702-cp35-cp35m-macosx_10_13_x86_64.whl.

File metadata

  • Download URL: tfa_nightly-0.5.0.dev20190702-cp35-cp35m-macosx_10_13_x86_64.whl
  • Upload date:
  • Size: 447.0 kB
  • Tags: CPython 3.5m, macOS 10.13+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/2.7.15

File hashes

Hashes for tfa_nightly-0.5.0.dev20190702-cp35-cp35m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 c38f36a613c673e46406b18b99d1daccb71d4cfcfe2b2d4daa317d4b8393037b
MD5 4850aabaaac8688655d1470399fbd99c
BLAKE2b-256 85e01502703737e67607c3868a6740fb14e6875235b33ebe0bb01af839d651d6

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.5.0.dev20190702-cp34-cp34m-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.5.0.dev20190702-cp34-cp34m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 d709bc27d6a43864c08c11a77f69a2718d7978ce17cc0f3cdde5d3cee776e4c4
MD5 8afa9aef1e0f8bcaf4dc621dea94e59f
BLAKE2b-256 72f6aac3d3dcaba9586853884cf2810a554ac8aefe12c1b17891618aacd24fc0

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.5.0.dev20190702-cp34-cp34m-macosx_10_13_x86_64.whl.

File metadata

  • Download URL: tfa_nightly-0.5.0.dev20190702-cp34-cp34m-macosx_10_13_x86_64.whl
  • Upload date:
  • Size: 447.0 kB
  • Tags: CPython 3.4m, macOS 10.13+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/2.7.15

File hashes

Hashes for tfa_nightly-0.5.0.dev20190702-cp34-cp34m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 fa67966da6c6e9bde82eacd74a5126fb44a34ab502a5c93c4979e0f549c2f469
MD5 568db9827655450b73fbbfcfb91ab3bc
BLAKE2b-256 21b5868d5f1c0669281e18ef33f663f465abdcbd8a7c2bb281f65b1f7351d190

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.5.0.dev20190702-cp27-cp27mu-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.5.0.dev20190702-cp27-cp27mu-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 dc98d3ca6b1299a43899ea2b4d951da95bc506afc14d168b80f4556c97987ddb
MD5 a2ff772e4adaf7b81758a20c05506ba7
BLAKE2b-256 abe642258764b4a448a153513349b3ee6c5fbc253f6fe7cbd14bbed4ff8905ab

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.5.0.dev20190702-cp27-cp27m-macosx_10_13_x86_64.whl.

File metadata

  • Download URL: tfa_nightly-0.5.0.dev20190702-cp27-cp27m-macosx_10_13_x86_64.whl
  • Upload date:
  • Size: 447.0 kB
  • Tags: CPython 2.7m, macOS 10.13+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/2.7.15

File hashes

Hashes for tfa_nightly-0.5.0.dev20190702-cp27-cp27m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 69e2f1870a73522937ad1503d0d42ac3e364f78b0c75d0aa97e4914003045e35
MD5 a80ecd73e1a65826ecf1e23f8e4f70cd
BLAKE2b-256 5e2aa7ed8bf5c68a2ad046fd9adf2a010ff4ebd2b817137f1efe4eb2f23d3456

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