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-0.10.0.dev20200422041624-cp37-cp37m-win_amd64.whl (872.7 kB view details)

Uploaded CPython 3.7m Windows x86-64

tfa_nightly-0.10.0.dev20200422041624-cp37-cp37m-manylinux2010_x86_64.whl (1.0 MB view details)

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

tfa_nightly-0.10.0.dev20200422041624-cp37-cp37m-macosx_10_13_x86_64.whl (575.8 kB view details)

Uploaded CPython 3.7m macOS 10.13+ x86-64

tfa_nightly-0.10.0.dev20200422041624-cp36-cp36m-win_amd64.whl (872.7 kB view details)

Uploaded CPython 3.6m Windows x86-64

tfa_nightly-0.10.0.dev20200422041624-cp36-cp36m-manylinux2010_x86_64.whl (1.0 MB view details)

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

tfa_nightly-0.10.0.dev20200422041624-cp36-cp36m-macosx_10_13_x86_64.whl (575.8 kB view details)

Uploaded CPython 3.6m macOS 10.13+ x86-64

tfa_nightly-0.10.0.dev20200422041624-cp35-cp35m-win_amd64.whl (872.7 kB view details)

Uploaded CPython 3.5m Windows x86-64

tfa_nightly-0.10.0.dev20200422041624-cp35-cp35m-manylinux2010_x86_64.whl (1.0 MB view details)

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

tfa_nightly-0.10.0.dev20200422041624-cp35-cp35m-macosx_10_13_x86_64.whl (575.8 kB view details)

Uploaded CPython 3.5m macOS 10.13+ x86-64

File details

Details for the file tfa_nightly-0.10.0.dev20200422041624-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.10.0.dev20200422041624-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 872.7 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/2.23.0 setuptools/46.1.3 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.7.7

File hashes

Hashes for tfa_nightly-0.10.0.dev20200422041624-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 8a93a86fb374d1b548421552adaef51a35102449494dee2bef4de83cec263b32
MD5 3a5544e8987930694b9ee6d87e955d98
BLAKE2b-256 a50538fc58ba23e1a9791c66993a801acb3c1e54c249741332c26697c764ac68

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.10.0.dev20200422041624-cp37-cp37m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.10.0.dev20200422041624-cp37-cp37m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 c6ec16c0339793d9792b286e37fcf2542590dcda88a12a5834935d639ef80dff
MD5 d5400aef23edc45ad1bd4361729a05a4
BLAKE2b-256 26077909ae714e0ce73e170b4317210ae02b0b5101bb376a14f362f8c31ab76d

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.10.0.dev20200422041624-cp37-cp37m-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.10.0.dev20200422041624-cp37-cp37m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 f926dd56fc52b0ce1febf6792a083cb9d24819ff3f46c3c022753e3fe2c7950b
MD5 16ce40344f72741afaf0ec937ba38d04
BLAKE2b-256 dc23abfff2a2bd013c1c1a595a787330502ae83b46dc1b9bd1368b5bc7d4d138

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.10.0.dev20200422041624-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.10.0.dev20200422041624-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 872.7 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/2.23.0 setuptools/46.1.3 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.7.7

File hashes

Hashes for tfa_nightly-0.10.0.dev20200422041624-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 7ef795d454190c3c65ee439d969605f2bb86a893632c7a6fd83cb20fe13489b7
MD5 aea1846d9ee67aeaf25473c464a11546
BLAKE2b-256 059e27f4a618b9b2b9f20de2ed4f2f1791c7190fa5a34fbc9ff76617f3120b5a

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.10.0.dev20200422041624-cp36-cp36m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.10.0.dev20200422041624-cp36-cp36m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 ef261f4168ba54403ba458d192b3a9925f9970c8aad23bd7074572ff1204e330
MD5 35c8dba6f5907efc2d41f715cf19f9b3
BLAKE2b-256 10a4d35b0b6d16ddad420de18365cd38769dc8dc1e3b4cdd0ecd10f4cfc56417

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.10.0.dev20200422041624-cp36-cp36m-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.10.0.dev20200422041624-cp36-cp36m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 5ccc333ef6a93356192fac172959a4ce2129cc873ef4743ba70a2ef199ee484f
MD5 39e5734cbc16e1c4d385d1b84a8e46a8
BLAKE2b-256 1f491f23a3ced94d433df4fc241ccb2c80ee73cf7a61b2d61df055311c563c57

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.10.0.dev20200422041624-cp35-cp35m-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.10.0.dev20200422041624-cp35-cp35m-win_amd64.whl
  • Upload date:
  • Size: 872.7 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/2.23.0 setuptools/46.1.3 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.7.7

File hashes

Hashes for tfa_nightly-0.10.0.dev20200422041624-cp35-cp35m-win_amd64.whl
Algorithm Hash digest
SHA256 35047cbf8cbf0dc9da25067efae651dc223d2c1009666533d4dacc02835829e4
MD5 00020795f338a66b42ca265fd13c0394
BLAKE2b-256 6a3865edff8f39921bd90980a8b9d3cdc8dfd5e6ab7508cc47c853955e05692e

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.10.0.dev20200422041624-cp35-cp35m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.10.0.dev20200422041624-cp35-cp35m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 983f83ed6d313810eeb5df5ba77a6499013899072288fd2784463672c41af0b3
MD5 d90a16e3f9f9df1472d0ef0a87350cda
BLAKE2b-256 5a4cf92548c25167b0ffa6431291c8ccad93830cfe25e3428e1a125bf2eb7ad3

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.10.0.dev20200422041624-cp35-cp35m-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.10.0.dev20200422041624-cp35-cp35m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 268ebb0a956e522f97a659983ebbf4cf735a65e05e6011db150f3d14122fe85e
MD5 4312c982c4cf005ff16b28a83286212c
BLAKE2b-256 5b8550bb9669a6ba7f7797d4df9d15aa94e1192440e2f488567316bc04a9070c

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