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.dev20200210-cp37-cp37m-win_amd64.whl (838.8 kB view details)

Uploaded CPython 3.7m Windows x86-64

tfa_nightly-0.9.0.dev20200210-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.dev20200210-cp37-cp37m-macosx_10_15_x86_64.whl (547.3 kB view details)

Uploaded CPython 3.7m macOS 10.15+ x86-64

tfa_nightly-0.9.0.dev20200210-cp36-cp36m-win_amd64.whl (838.8 kB view details)

Uploaded CPython 3.6m Windows x86-64

tfa_nightly-0.9.0.dev20200210-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.dev20200210-cp36-cp36m-macosx_10_15_x86_64.whl (547.3 kB view details)

Uploaded CPython 3.6m macOS 10.15+ x86-64

tfa_nightly-0.9.0.dev20200210-cp35-cp35m-win_amd64.whl (838.8 kB view details)

Uploaded CPython 3.5m Windows x86-64

tfa_nightly-0.9.0.dev20200210-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.dev20200210-cp35-cp35m-macosx_10_15_x86_64.whl (547.3 kB view details)

Uploaded CPython 3.5m macOS 10.15+ x86-64

File details

Details for the file tfa_nightly-0.9.0.dev20200210-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.9.0.dev20200210-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 838.8 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.dev20200210-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 15c793ed776e9852991c61ea038479da99ea2c37796bb8e10073a21208461a55
MD5 da384dc520d1a61b63888bd08fedf124
BLAKE2b-256 35251a4e1d02e09973780bdf5e2dbc024ef84d6a8c81e688018ca3cda909a121

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.9.0.dev20200210-cp37-cp37m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.9.0.dev20200210-cp37-cp37m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 16abad2729a8a956184815a8337448e55a9c65590198bc5fc49cbb1c191dd880
MD5 45de7c8ec70dee7a12ab7c8a53d7c23c
BLAKE2b-256 79b204910325cc84cd738da140f63857146dde5d5616ae89e81ae723af019106

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.9.0.dev20200210-cp37-cp37m-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.9.0.dev20200210-cp37-cp37m-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 17086e4a0ea5fb5572ffc7a94bda05c88740483585e43203d2a1f678f0229439
MD5 7f85f6cdf86a3d281c731c031fed5902
BLAKE2b-256 0ae28e1ef55f16e49acd78634de0a3ff3dba1022ba85649ee8959fda2e4c2511

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.9.0.dev20200210-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.9.0.dev20200210-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 838.8 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.dev20200210-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 9336f97d8faf12d46eb3a31814dafec7a8ff9ab90c4eceb6adeae7cdf1bb3aa4
MD5 6f71114283dcdd6b94e2bb30f071b4da
BLAKE2b-256 30aecdc5c2b61073307e072321ce05423960574091831222b2c15dec51cc1fc9

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.9.0.dev20200210-cp36-cp36m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.9.0.dev20200210-cp36-cp36m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 f6f09b9775981d6834107c7ce49aa8d540f87825de2ed2f116ddcb85df720515
MD5 289bb5ff37809946dcfa62133eb0f4e8
BLAKE2b-256 7be55106ef910366923baabc5e36331a39c00e5cf91cdbdb3e12485d42eae190

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.9.0.dev20200210-cp36-cp36m-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.9.0.dev20200210-cp36-cp36m-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 8c375389b41ca66328a6c4730e9d2eb5da17093021df19bcd2c7af6ea94868e1
MD5 b3e241032c578457b6e7e04b58e4a721
BLAKE2b-256 49e1e4e1f3c5c9b178550fa5f766205f8d86377266266aecc4e6d8fbc48df542

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.9.0.dev20200210-cp35-cp35m-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.9.0.dev20200210-cp35-cp35m-win_amd64.whl
  • Upload date:
  • Size: 838.8 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.dev20200210-cp35-cp35m-win_amd64.whl
Algorithm Hash digest
SHA256 dd1385aec18e40b959a2e984376f7f6134802f2285b4e36d000bb2b55010bdb5
MD5 c7e545ce169b61a4008c9d1c5a814f03
BLAKE2b-256 3eb5e5a32288d0918a24f4dbac7e5af213232d1345806140cacd7c48baa87297

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.9.0.dev20200210-cp35-cp35m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.9.0.dev20200210-cp35-cp35m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 b68191f6c1e46bf6c7ad27121c9f506f289bc82cb6f5692aa78a00a3531f8c26
MD5 c146cadd29e6b2a866690d88e0c302f4
BLAKE2b-256 094394f9980cdb4fb18b97b30a48cbe29ebd6b5395913fd9fcd6f7aef0da1617

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.9.0.dev20200210-cp35-cp35m-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.9.0.dev20200210-cp35-cp35m-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 808f987fe46f1dcb301347de9902f20df032ff17f2a04ee26afb2c0149827f68
MD5 8a03208c8795c18d97563d758c96aa18
BLAKE2b-256 17bd74a802d7a315a0c76e4e54d678c9d20cc7b45044c9cb381414b70c86c7da

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