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.dev20190620-cp36-cp36m-macosx_10_13_x86_64.whl (442.9 kB view details)

Uploaded CPython 3.6mmacOS 10.13+ x86-64

tfa_nightly-0.5.0.dev20190620-cp35-cp35m-macosx_10_13_x86_64.whl (442.9 kB view details)

Uploaded CPython 3.5mmacOS 10.13+ x86-64

tfa_nightly-0.5.0.dev20190620-cp34-cp34m-macosx_10_13_x86_64.whl (442.9 kB view details)

Uploaded CPython 3.4mmacOS 10.13+ x86-64

tfa_nightly-0.5.0.dev20190620-cp27-cp27mu-manylinux1_x86_64.whl (552.0 kB view details)

Uploaded CPython 2.7mu

tfa_nightly-0.5.0.dev20190620-cp27-cp27m-macosx_10_13_x86_64.whl (442.9 kB view details)

Uploaded CPython 2.7mmacOS 10.13+ x86-64

File details

Details for the file tfa_nightly-0.5.0.dev20190620-cp36-cp36m-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.5.0.dev20190620-cp36-cp36m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 0a08c57bbd674fe7d835ccaad98dd700e2519c1d4f8335edb2dc1968602b41d1
MD5 4ced74ea920885ca22fbe0e44c4972ba
BLAKE2b-256 0ef54a081fe41541e55b4cd094f2a1bda2e23a549868953fb5e1fa09267a6106

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.5.0.dev20190620-cp36-cp36m-macosx_10_13_x86_64.whl.

File metadata

  • Download URL: tfa_nightly-0.5.0.dev20190620-cp36-cp36m-macosx_10_13_x86_64.whl
  • Upload date:
  • Size: 442.9 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.dev20190620-cp36-cp36m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 2f71cb22d826f877c28b38f1b76b83b1565f26da7e337c6d613f8ec59361ad3a
MD5 c152a0bafc755b0199f65c8e99e7582c
BLAKE2b-256 93aedb4302c9096966e8904dd8e5d66a528412017960a7ef6be671f67d2ad8c2

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.5.0.dev20190620-cp35-cp35m-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.5.0.dev20190620-cp35-cp35m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 b1ce2d50224c930252249eb84c6c430696e05590838716dec03d05fcc3df0bdb
MD5 572803c0c612d478720d48d28dabaecc
BLAKE2b-256 57984c9d7f075b0df48e94538ff80e0ac207ba6b9dd55972536096e0cb7636f6

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.5.0.dev20190620-cp35-cp35m-macosx_10_13_x86_64.whl.

File metadata

  • Download URL: tfa_nightly-0.5.0.dev20190620-cp35-cp35m-macosx_10_13_x86_64.whl
  • Upload date:
  • Size: 442.9 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.dev20190620-cp35-cp35m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 6004714495caa97f2feed689b2ea6177bd30d8548ba0af24af9665a56c739706
MD5 2767a59cf62b132e992bd2f7f7de9a1a
BLAKE2b-256 a1745f3aa659907d1765dda1e16df848888cb30721e48a621d2fc3e3a13c6362

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.5.0.dev20190620-cp34-cp34m-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.5.0.dev20190620-cp34-cp34m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 f70e02b82a5f5ad77e10c0781bc38448c19db63af831fa244c24532ca3fac260
MD5 b8ebc99a593309a4775af2308bc479d9
BLAKE2b-256 73acc358ca8cefee49bb8993502fe3e538359d41a52886097271e0cd2455a1bf

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.5.0.dev20190620-cp34-cp34m-macosx_10_13_x86_64.whl.

File metadata

  • Download URL: tfa_nightly-0.5.0.dev20190620-cp34-cp34m-macosx_10_13_x86_64.whl
  • Upload date:
  • Size: 442.9 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.dev20190620-cp34-cp34m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 d4794596eaf632e953d77912a293d788db13fce4f1eb20376824dba125c1f894
MD5 46137e48a7684342f26d700a70f44dce
BLAKE2b-256 1d0bedf1df3e5ae7db6d297b0da38d34f22514a350ad649a8b36c83f32e7bde2

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.5.0.dev20190620-cp27-cp27mu-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.5.0.dev20190620-cp27-cp27mu-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 2edc79d36a08a2945bb6c40f0f7087eaad4ac15bc81b1828162b3a0b3d62708d
MD5 d7838a84a7fa639b11d9992569170f01
BLAKE2b-256 f65e3d64a1653a4a8da26ea2df8cdc2a5a91c67f80cd696a59bb7ed22755eed8

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.5.0.dev20190620-cp27-cp27m-macosx_10_13_x86_64.whl.

File metadata

  • Download URL: tfa_nightly-0.5.0.dev20190620-cp27-cp27m-macosx_10_13_x86_64.whl
  • Upload date:
  • Size: 442.9 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.dev20190620-cp27-cp27m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 e6f44f55a5e787765842221c8d0573351903afe09cc9fc7c9399530eae8cdf27
MD5 c624c5fdb1ef7829800241c30835ec7f
BLAKE2b-256 7c21dce3be956acb4cbf7381e2eeda0642b83274031548d609c20309ab6a04d8

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