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-0.9.0.dev20200301-cp37-cp37m-win_amd64.whl (840.0 kB view details)

Uploaded CPython 3.7mWindows x86-64

tfa_nightly-0.9.0.dev20200301-cp37-cp37m-manylinux2010_x86_64.whl (1.0 MB view details)

Uploaded CPython 3.7mmanylinux: glibc 2.12+ x86-64

tfa_nightly-0.9.0.dev20200301-cp37-cp37m-macosx_10_13_x86_64.whl (548.4 kB view details)

Uploaded CPython 3.7mmacOS 10.13+ x86-64

tfa_nightly-0.9.0.dev20200301-cp36-cp36m-win_amd64.whl (840.0 kB view details)

Uploaded CPython 3.6mWindows x86-64

tfa_nightly-0.9.0.dev20200301-cp36-cp36m-manylinux2010_x86_64.whl (1.0 MB view details)

Uploaded CPython 3.6mmanylinux: glibc 2.12+ x86-64

tfa_nightly-0.9.0.dev20200301-cp36-cp36m-macosx_10_13_x86_64.whl (548.4 kB view details)

Uploaded CPython 3.6mmacOS 10.13+ x86-64

tfa_nightly-0.9.0.dev20200301-cp35-cp35m-win_amd64.whl (840.0 kB view details)

Uploaded CPython 3.5mWindows x86-64

tfa_nightly-0.9.0.dev20200301-cp35-cp35m-manylinux2010_x86_64.whl (1.0 MB view details)

Uploaded CPython 3.5mmanylinux: glibc 2.12+ x86-64

tfa_nightly-0.9.0.dev20200301-cp35-cp35m-macosx_10_13_x86_64.whl (548.4 kB view details)

Uploaded CPython 3.5mmacOS 10.13+ x86-64

File details

Details for the file tfa_nightly-0.9.0.dev20200301-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.9.0.dev20200301-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 840.0 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/45.2.0 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.7.6

File hashes

Hashes for tfa_nightly-0.9.0.dev20200301-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 8bb69cf8dad6e71d41b51b243ebdc1ae889ace37231e8766bfbe62c67d0ff5d1
MD5 339d6626b2bc06dd75f2ef65a67f5fcf
BLAKE2b-256 87df135bb77d41293e5152e8cec293faf66fbeb1f5bd58497ea25203ea8aed09

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.9.0.dev20200301-cp37-cp37m-manylinux2010_x86_64.whl.

File metadata

  • Download URL: tfa_nightly-0.9.0.dev20200301-cp37-cp37m-manylinux2010_x86_64.whl
  • Upload date:
  • Size: 1.0 MB
  • Tags: CPython 3.7m, manylinux: glibc 2.12+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/45.2.0 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.7.6

File hashes

Hashes for tfa_nightly-0.9.0.dev20200301-cp37-cp37m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 9474cd25261c619d9192652f085eddfd9bcb08e60ddf23bb218f57e6c769f814
MD5 6f4134dd172f774f14f53005a339b5c4
BLAKE2b-256 524366e75403426d7cca009c09fd546f345e84986af3f244e461245c8f0b4965

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.9.0.dev20200301-cp37-cp37m-macosx_10_13_x86_64.whl.

File metadata

  • Download URL: tfa_nightly-0.9.0.dev20200301-cp37-cp37m-macosx_10_13_x86_64.whl
  • Upload date:
  • Size: 548.4 kB
  • Tags: CPython 3.7m, macOS 10.13+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/45.2.0 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.7.6

File hashes

Hashes for tfa_nightly-0.9.0.dev20200301-cp37-cp37m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 b360bbba18ce44b35119efed28de8c9d7550bcccdd7aa721b805c927799eeb0e
MD5 1071854ff8421d2e1ef7d71b20f0062d
BLAKE2b-256 f8006df1dc3949da0e7602f3ba9e347f9a0f0fd8f6833bb4360558409c9b4be8

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.9.0.dev20200301-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.9.0.dev20200301-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 840.0 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/45.2.0 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.7.6

File hashes

Hashes for tfa_nightly-0.9.0.dev20200301-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 5e7aa8acea35e10fa003ac4d335766a9a1a85c44168427929121565ca18d0421
MD5 f92a574da5feff22bed5a80568987d5e
BLAKE2b-256 469ef06124b145dfa62d81a54de3526aa867728db596ba9cd9ca0c52a2644d75

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.9.0.dev20200301-cp36-cp36m-manylinux2010_x86_64.whl.

File metadata

  • Download URL: tfa_nightly-0.9.0.dev20200301-cp36-cp36m-manylinux2010_x86_64.whl
  • Upload date:
  • Size: 1.0 MB
  • Tags: CPython 3.6m, manylinux: glibc 2.12+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/45.2.0 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.7.6

File hashes

Hashes for tfa_nightly-0.9.0.dev20200301-cp36-cp36m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 37e472abe47c9c91491fb0a165e18069f34aa2cda79d6035de6fa1d71cf5e17c
MD5 429e7766ad6f18fbef5dfc061e6d3759
BLAKE2b-256 1a6275eca3782b0f4f10040cd161f4a982c10709c9482f7b8a5c2d8c5dcc1e0d

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.9.0.dev20200301-cp36-cp36m-macosx_10_13_x86_64.whl.

File metadata

  • Download URL: tfa_nightly-0.9.0.dev20200301-cp36-cp36m-macosx_10_13_x86_64.whl
  • Upload date:
  • Size: 548.4 kB
  • Tags: CPython 3.6m, macOS 10.13+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/45.2.0 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.7.6

File hashes

Hashes for tfa_nightly-0.9.0.dev20200301-cp36-cp36m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 c8e571f71dccad4a812e5e24441bb0a6dd258629684c8b937b6856f1cdc89eb1
MD5 19d86fd784a50bb92faeb0bcc93c8229
BLAKE2b-256 3281e91b7d9ae4773376815dcb335720fe9b9820c88daa7cf45e9667e8905e07

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.9.0.dev20200301-cp35-cp35m-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.9.0.dev20200301-cp35-cp35m-win_amd64.whl
  • Upload date:
  • Size: 840.0 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/45.2.0 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.7.6

File hashes

Hashes for tfa_nightly-0.9.0.dev20200301-cp35-cp35m-win_amd64.whl
Algorithm Hash digest
SHA256 5bbb50d19a648148f60ba5ff8960e43b56a239d47211b408675e280c97a59198
MD5 fb093a6b908e0d62f444482261e25d5f
BLAKE2b-256 52bf9dc048ce8afeebef8e4dacc3190724f1a02ef8d3a361e0366d9c0329fa99

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.9.0.dev20200301-cp35-cp35m-manylinux2010_x86_64.whl.

File metadata

  • Download URL: tfa_nightly-0.9.0.dev20200301-cp35-cp35m-manylinux2010_x86_64.whl
  • Upload date:
  • Size: 1.0 MB
  • Tags: CPython 3.5m, manylinux: glibc 2.12+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/45.2.0 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.7.6

File hashes

Hashes for tfa_nightly-0.9.0.dev20200301-cp35-cp35m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 1f4f16da9b535aa927d6c27e8a2397c7e369a2b2337efddc792e5110872a84ee
MD5 f9e19f80c2516d9fcb4ce88c1d12b25f
BLAKE2b-256 d733949f930de00667deab4e92abeabf58db4589547f78d91fe76b053a3cb871

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.9.0.dev20200301-cp35-cp35m-macosx_10_13_x86_64.whl.

File metadata

  • Download URL: tfa_nightly-0.9.0.dev20200301-cp35-cp35m-macosx_10_13_x86_64.whl
  • Upload date:
  • Size: 548.4 kB
  • Tags: CPython 3.5m, macOS 10.13+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/45.2.0 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.7.6

File hashes

Hashes for tfa_nightly-0.9.0.dev20200301-cp35-cp35m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 be75210728c9f38db14d57ad89aef0128ef16f39ded5c050eb28cfdde2dd1cd5
MD5 c4106bb23af9949723ff8e6f56796615
BLAKE2b-256 c05021538b5e07359edc74b920775611ecfbc0596148718982813b043a8745d1

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