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-0.7.0.dev20191119-cp37-cp37m-manylinux2010_x86_64.whl (1.9 MB view details)

Uploaded CPython 3.7mmanylinux: glibc 2.12+ x86-64

tfa_nightly-0.7.0.dev20191119-cp37-cp37m-macosx_10_13_x86_64.whl (498.3 kB view details)

Uploaded CPython 3.7mmacOS 10.13+ x86-64

tfa_nightly-0.7.0.dev20191119-cp36-cp36m-manylinux2010_x86_64.whl (1.9 MB view details)

Uploaded CPython 3.6mmanylinux: glibc 2.12+ x86-64

tfa_nightly-0.7.0.dev20191119-cp36-cp36m-macosx_10_13_x86_64.whl (498.3 kB view details)

Uploaded CPython 3.6mmacOS 10.13+ x86-64

tfa_nightly-0.7.0.dev20191119-cp35-cp35m-manylinux2010_x86_64.whl (1.9 MB view details)

Uploaded CPython 3.5mmanylinux: glibc 2.12+ x86-64

tfa_nightly-0.7.0.dev20191119-cp35-cp35m-macosx_10_13_x86_64.whl (498.3 kB view details)

Uploaded CPython 3.5mmacOS 10.13+ x86-64

tfa_nightly-0.7.0.dev20191119-cp27-cp27mu-manylinux2010_x86_64.whl (1.9 MB view details)

Uploaded CPython 2.7mumanylinux: glibc 2.12+ x86-64

tfa_nightly-0.7.0.dev20191119-cp27-cp27m-macosx_10_13_x86_64.whl (498.3 kB view details)

Uploaded CPython 2.7mmacOS 10.13+ x86-64

File details

Details for the file tfa_nightly-0.7.0.dev20191119-cp37-cp37m-manylinux2010_x86_64.whl.

File metadata

  • Download URL: tfa_nightly-0.7.0.dev20191119-cp37-cp37m-manylinux2010_x86_64.whl
  • Upload date:
  • Size: 1.9 MB
  • 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/41.6.0 requests-toolbelt/0.9.1 tqdm/4.38.0 CPython/2.7.12

File hashes

Hashes for tfa_nightly-0.7.0.dev20191119-cp37-cp37m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 6e253eb98f5d7d072945b705c79dc72648dd256831a67ccc6c27193879833850
MD5 5b6c8474386abccb979555bf9e8eeb8c
BLAKE2b-256 77bedfbe5dffb2570e14277f43623465868bc414433aa9df22b6b5623f8c81d4

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.7.0.dev20191119-cp37-cp37m-macosx_10_13_x86_64.whl.

File metadata

  • Download URL: tfa_nightly-0.7.0.dev20191119-cp37-cp37m-macosx_10_13_x86_64.whl
  • Upload date:
  • Size: 498.3 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/41.6.0 requests-toolbelt/0.9.1 tqdm/4.38.0 CPython/2.7.15

File hashes

Hashes for tfa_nightly-0.7.0.dev20191119-cp37-cp37m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 589ee71393058aa09a914ee50a316c1f6b8257e34af72b573c4109eba85c7f15
MD5 5aa9d1f38d58c3d7338c231c6c2361ff
BLAKE2b-256 0cee7d8ae0da73379fe76a87d3d4cde9ecf6b1e086eb9d1f7e73e8be1d8ffa2a

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.7.0.dev20191119-cp36-cp36m-manylinux2010_x86_64.whl.

File metadata

  • Download URL: tfa_nightly-0.7.0.dev20191119-cp36-cp36m-manylinux2010_x86_64.whl
  • Upload date:
  • Size: 1.9 MB
  • 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/41.6.0 requests-toolbelt/0.9.1 tqdm/4.38.0 CPython/2.7.12

File hashes

Hashes for tfa_nightly-0.7.0.dev20191119-cp36-cp36m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 136db6beef221d2e7f5e130c4e89f2abd515aa8422af352a6703ced68acc2f21
MD5 d9d5d433a16f6949cc5aace0af8d8a04
BLAKE2b-256 70ca38211cc680efd4902912cc2e39cfef10369326d3f9c139e3127b6146d1f7

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.7.0.dev20191119-cp36-cp36m-macosx_10_13_x86_64.whl.

File metadata

  • Download URL: tfa_nightly-0.7.0.dev20191119-cp36-cp36m-macosx_10_13_x86_64.whl
  • Upload date:
  • Size: 498.3 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/41.6.0 requests-toolbelt/0.9.1 tqdm/4.38.0 CPython/2.7.15

File hashes

Hashes for tfa_nightly-0.7.0.dev20191119-cp36-cp36m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 1c9ba76a26a469198469b6f17857c3cfb4e59ad1c302e334f8f98ab4af55ee1f
MD5 697a51fbcdea75b902c03653c841abfb
BLAKE2b-256 25dba4a518086459fc758f2082d33c82feacc2f3b6975bb05dd7c6b69fc4152e

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.7.0.dev20191119-cp35-cp35m-manylinux2010_x86_64.whl.

File metadata

  • Download URL: tfa_nightly-0.7.0.dev20191119-cp35-cp35m-manylinux2010_x86_64.whl
  • Upload date:
  • Size: 1.9 MB
  • 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/41.6.0 requests-toolbelt/0.9.1 tqdm/4.38.0 CPython/2.7.12

File hashes

Hashes for tfa_nightly-0.7.0.dev20191119-cp35-cp35m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 db1e42a72862af1a2f41e7e1f6e11088d1386c098e04a9c942c99a16924a8049
MD5 f6a2591543b0663b415e7fdf7506a3ef
BLAKE2b-256 e8e9259ba4dcd3f49d851a81f56eb035b65cd7ff7a2c9de665143b68ff02f007

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.7.0.dev20191119-cp35-cp35m-macosx_10_13_x86_64.whl.

File metadata

  • Download URL: tfa_nightly-0.7.0.dev20191119-cp35-cp35m-macosx_10_13_x86_64.whl
  • Upload date:
  • Size: 498.3 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/41.6.0 requests-toolbelt/0.9.1 tqdm/4.38.0 CPython/2.7.15

File hashes

Hashes for tfa_nightly-0.7.0.dev20191119-cp35-cp35m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 0738c541ca984b4d5ffc069670d6464a4937cb9dbc48e50df247ab9943270901
MD5 b8e09ef20c214ca74379dce2de616fdc
BLAKE2b-256 6a017df4c1f92f73e692863447151da791c0d01dbcb2779d9fc6212a7e391873

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.7.0.dev20191119-cp27-cp27mu-manylinux2010_x86_64.whl.

File metadata

  • Download URL: tfa_nightly-0.7.0.dev20191119-cp27-cp27mu-manylinux2010_x86_64.whl
  • Upload date:
  • Size: 1.9 MB
  • Tags: CPython 2.7mu, 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/41.6.0 requests-toolbelt/0.9.1 tqdm/4.38.0 CPython/2.7.12

File hashes

Hashes for tfa_nightly-0.7.0.dev20191119-cp27-cp27mu-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 0b09b8c4d8982469084bbc71a3b00ef01d5d6ccb0eb7bb69771ba08c6cd44056
MD5 8825a96bef64f1a117123c2b83c37353
BLAKE2b-256 f7964e31b33b022744f1a0d7cc7da59831790df8b1bbd59b5c11ec1275ff1a68

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.7.0.dev20191119-cp27-cp27m-macosx_10_13_x86_64.whl.

File metadata

  • Download URL: tfa_nightly-0.7.0.dev20191119-cp27-cp27m-macosx_10_13_x86_64.whl
  • Upload date:
  • Size: 498.3 kB
  • Tags: CPython 2.7m, 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/41.6.0 requests-toolbelt/0.9.1 tqdm/4.38.0 CPython/2.7.15

File hashes

Hashes for tfa_nightly-0.7.0.dev20191119-cp27-cp27m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 9a5a78fcd5bc94434661cfc8e893caa07bd2563edc69351fcb131b10da323a64
MD5 ade1e5526cab54a08812b05b127c0aec
BLAKE2b-256 229fadb13a57ece4a78f5ce931c8d85d22fe733870fcd043957bf913f0806de7

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