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-0.8.0.dev20200125-cp37-cp37m-win_amd64.whl (853.7 kB view details)

Uploaded CPython 3.7mWindows x86-64

tfa_nightly-0.8.0.dev20200125-cp37-cp37m-manylinux2010_x86_64.whl (994.9 kB view details)

Uploaded CPython 3.7mmanylinux: glibc 2.12+ x86-64

tfa_nightly-0.8.0.dev20200125-cp37-cp37m-macosx_10_13_x86_64.whl (523.4 kB view details)

Uploaded CPython 3.7mmacOS 10.13+ x86-64

tfa_nightly-0.8.0.dev20200125-cp36-cp36m-win_amd64.whl (853.7 kB view details)

Uploaded CPython 3.6mWindows x86-64

tfa_nightly-0.8.0.dev20200125-cp36-cp36m-manylinux2010_x86_64.whl (990.6 kB view details)

Uploaded CPython 3.6mmanylinux: glibc 2.12+ x86-64

tfa_nightly-0.8.0.dev20200125-cp36-cp36m-macosx_10_13_x86_64.whl (523.4 kB view details)

Uploaded CPython 3.6mmacOS 10.13+ x86-64

tfa_nightly-0.8.0.dev20200125-cp35-cp35m-win_amd64.whl (853.7 kB view details)

Uploaded CPython 3.5mWindows x86-64

tfa_nightly-0.8.0.dev20200125-cp35-cp35m-manylinux2010_x86_64.whl (994.9 kB view details)

Uploaded CPython 3.5mmanylinux: glibc 2.12+ x86-64

tfa_nightly-0.8.0.dev20200125-cp35-cp35m-macosx_10_13_x86_64.whl (523.4 kB view details)

Uploaded CPython 3.5mmacOS 10.13+ x86-64

File details

Details for the file tfa_nightly-0.8.0.dev20200125-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.8.0.dev20200125-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 853.7 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/2.22.0 setuptools/45.1.0 requests-toolbelt/0.9.1 tqdm/4.42.0 CPython/3.7.5

File hashes

Hashes for tfa_nightly-0.8.0.dev20200125-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 55d56c8ea0e4f4d73c784afb21410785f9406d27890e686feef7ce2755e7eca4
MD5 cab6894b88f1e340b468bf16f83e64e1
BLAKE2b-256 508d3b18909c5a84f413017da48dd0bc3e74516986777bc535a763543375c499

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.8.0.dev20200125-cp37-cp37m-manylinux2010_x86_64.whl.

File metadata

  • Download URL: tfa_nightly-0.8.0.dev20200125-cp37-cp37m-manylinux2010_x86_64.whl
  • Upload date:
  • Size: 994.9 kB
  • Tags: CPython 3.7m, manylinux: glibc 2.12+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/44.0.0 requests-toolbelt/0.9.1 tqdm/4.42.0 CPython/2.7.12

File hashes

Hashes for tfa_nightly-0.8.0.dev20200125-cp37-cp37m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 1224cecdd1b916e2d2ff644f0670295e2d4b39a64cfcd285b2c5960790ddeb5b
MD5 b285799e7d9525c04dd5b5c723adad0d
BLAKE2b-256 524265af9f4f07751c152cbdf4e2a60e36a2c50837cf10f314a21955dc9f4d7b

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.8.0.dev20200125-cp37-cp37m-macosx_10_13_x86_64.whl.

File metadata

  • Download URL: tfa_nightly-0.8.0.dev20200125-cp37-cp37m-macosx_10_13_x86_64.whl
  • Upload date:
  • Size: 523.4 kB
  • Tags: CPython 3.7m, macOS 10.13+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/44.0.0 requests-toolbelt/0.9.1 tqdm/4.42.0 CPython/2.7.17

File hashes

Hashes for tfa_nightly-0.8.0.dev20200125-cp37-cp37m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 a66f54953cc2687802bfac9a7e866ff3682b9ec977b1b6e064daa8e36be38be4
MD5 56f16392d39af11d2d53e2f677e82fe7
BLAKE2b-256 cab5b11c7b9b2794ee3408b1ec3df2e89332fc2ae8924a9219472546d0a1ab58

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.8.0.dev20200125-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.8.0.dev20200125-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 853.7 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/2.22.0 setuptools/45.1.0 requests-toolbelt/0.9.1 tqdm/4.42.0 CPython/3.7.5

File hashes

Hashes for tfa_nightly-0.8.0.dev20200125-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 5543b94c2f07d7d18313306f9ea31054f078ca0b420343ffd57a4abbe8ce4878
MD5 3aa3df1f16eff8d9345a1a9ba89aeb14
BLAKE2b-256 a28eb9c9386359d648edee44d155c0d95879dcbd264bb1b002f58004470c2bdc

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.8.0.dev20200125-cp36-cp36m-manylinux2010_x86_64.whl.

File metadata

  • Download URL: tfa_nightly-0.8.0.dev20200125-cp36-cp36m-manylinux2010_x86_64.whl
  • Upload date:
  • Size: 990.6 kB
  • Tags: CPython 3.6m, manylinux: glibc 2.12+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/44.0.0 requests-toolbelt/0.9.1 tqdm/4.42.0 CPython/2.7.12

File hashes

Hashes for tfa_nightly-0.8.0.dev20200125-cp36-cp36m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 866f1d535741282183c5c21b014e92a9cef50d16b965cfa16a98a623f2a93085
MD5 768c0699d7bd720e56235cc11d9a96fb
BLAKE2b-256 09422cfaae9efb32e6981b5f672e673f28245de0c41b92bd521e72451f204a51

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.8.0.dev20200125-cp36-cp36m-macosx_10_13_x86_64.whl.

File metadata

  • Download URL: tfa_nightly-0.8.0.dev20200125-cp36-cp36m-macosx_10_13_x86_64.whl
  • Upload date:
  • Size: 523.4 kB
  • Tags: CPython 3.6m, macOS 10.13+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/44.0.0 requests-toolbelt/0.9.1 tqdm/4.42.0 CPython/2.7.17

File hashes

Hashes for tfa_nightly-0.8.0.dev20200125-cp36-cp36m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 cdf4a7f1e89e2009d09d8b3b22aca2df8d74953a73e592f8ba4fe3e9dfd7a471
MD5 027f78907e2fa5a407aab3825e193d95
BLAKE2b-256 b9d2402bbf0061d14ff0f5e7b789219f5517ffe8e2df2e5543f0faa51912c1fc

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.8.0.dev20200125-cp35-cp35m-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.8.0.dev20200125-cp35-cp35m-win_amd64.whl
  • Upload date:
  • Size: 853.7 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/2.22.0 setuptools/45.1.0 requests-toolbelt/0.9.1 tqdm/4.42.0 CPython/3.7.5

File hashes

Hashes for tfa_nightly-0.8.0.dev20200125-cp35-cp35m-win_amd64.whl
Algorithm Hash digest
SHA256 fccdf6e8fc5e4f9b6df65031c3d345915b11dcad871b33c4baac2d2ff4dd3adf
MD5 e6d17c32f5983145a87f7562f9cd3110
BLAKE2b-256 2751f4b9afc2d246d5af4933bd6e7fe4821ab34164500a65464b75ae2b07d90c

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.8.0.dev20200125-cp35-cp35m-manylinux2010_x86_64.whl.

File metadata

  • Download URL: tfa_nightly-0.8.0.dev20200125-cp35-cp35m-manylinux2010_x86_64.whl
  • Upload date:
  • Size: 994.9 kB
  • Tags: CPython 3.5m, manylinux: glibc 2.12+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/44.0.0 requests-toolbelt/0.9.1 tqdm/4.42.0 CPython/2.7.12

File hashes

Hashes for tfa_nightly-0.8.0.dev20200125-cp35-cp35m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 aa647cbdba1e0d708a268ccf1cc27774a0bca2820fb4dbd98631d2f340e3e134
MD5 acbf25553d1daf0b9500efd0b310eebc
BLAKE2b-256 a697954d625e5bf634f95ec71d91f57414c38b9ec4b808d4bda23f3628bc8d60

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.8.0.dev20200125-cp35-cp35m-macosx_10_13_x86_64.whl.

File metadata

  • Download URL: tfa_nightly-0.8.0.dev20200125-cp35-cp35m-macosx_10_13_x86_64.whl
  • Upload date:
  • Size: 523.4 kB
  • Tags: CPython 3.5m, macOS 10.13+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/44.0.0 requests-toolbelt/0.9.1 tqdm/4.42.0 CPython/2.7.17

File hashes

Hashes for tfa_nightly-0.8.0.dev20200125-cp35-cp35m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 a8f38a6c3dc127bab9a5d0d4ebe47b2fec602069096412d94d7c5d15baeb1c4d
MD5 446bcbaf871ff8339f979ba21afe0f9e
BLAKE2b-256 1a9584941ec089063cc1dad56c828639dc3e2d34286a10d1a26d6f0d8732c861

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