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-0.11.0.dev20200616114042-cp38-cp38-win_amd64.whl (900.3 kB view details)

Uploaded CPython 3.8 Windows x86-64

tfa_nightly-0.11.0.dev20200616114042-cp38-cp38-manylinux2010_x86_64.whl (1.1 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.12+ x86-64

tfa_nightly-0.11.0.dev20200616114042-cp38-cp38-macosx_10_13_x86_64.whl (594.9 kB view details)

Uploaded CPython 3.8 macOS 10.13+ x86-64

tfa_nightly-0.11.0.dev20200616114042-cp37-cp37m-win_amd64.whl (900.3 kB view details)

Uploaded CPython 3.7m Windows x86-64

tfa_nightly-0.11.0.dev20200616114042-cp37-cp37m-manylinux2010_x86_64.whl (1.1 MB view details)

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

tfa_nightly-0.11.0.dev20200616114042-cp37-cp37m-macosx_10_13_x86_64.whl (594.9 kB view details)

Uploaded CPython 3.7m macOS 10.13+ x86-64

tfa_nightly-0.11.0.dev20200616114042-cp36-cp36m-win_amd64.whl (900.3 kB view details)

Uploaded CPython 3.6m Windows x86-64

tfa_nightly-0.11.0.dev20200616114042-cp36-cp36m-manylinux2010_x86_64.whl (1.1 MB view details)

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

tfa_nightly-0.11.0.dev20200616114042-cp36-cp36m-macosx_10_13_x86_64.whl (594.9 kB view details)

Uploaded CPython 3.6m macOS 10.13+ x86-64

tfa_nightly-0.11.0.dev20200616114042-cp35-cp35m-win_amd64.whl (900.3 kB view details)

Uploaded CPython 3.5m Windows x86-64

tfa_nightly-0.11.0.dev20200616114042-cp35-cp35m-manylinux2010_x86_64.whl (1.1 MB view details)

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

tfa_nightly-0.11.0.dev20200616114042-cp35-cp35m-macosx_10_13_x86_64.whl (594.9 kB view details)

Uploaded CPython 3.5m macOS 10.13+ x86-64

File details

Details for the file tfa_nightly-0.11.0.dev20200616114042-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.11.0.dev20200616114042-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 900.3 kB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/47.1.1 requests-toolbelt/0.9.1 tqdm/4.46.1 CPython/3.7.7

File hashes

Hashes for tfa_nightly-0.11.0.dev20200616114042-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 9e371c0b80ebc62f790364bd967446101cad2d3dabe2dce95a6a77877eafc147
MD5 930ef7a9ebb793bf664f9721cbc0be24
BLAKE2b-256 497a7a4b1354be630a8d29b532cc7ffa15993aab4ca00e9b706e82a08273e80f

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.11.0.dev20200616114042-cp38-cp38-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.11.0.dev20200616114042-cp38-cp38-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 90ce096a4017e51521875521e36fa57fd980f951d7ba59f4827bc48533197b5b
MD5 675d6aa3c7c64c406b50637edad8887f
BLAKE2b-256 5b434206f688a358c7eeb0db8c52fe9ec924367a9c7b424ef7db35cc1125ca72

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.11.0.dev20200616114042-cp38-cp38-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.11.0.dev20200616114042-cp38-cp38-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 806e48b9f4096eb021f20bb33c7715b9e9e06d526445cbf09624c4a19005607d
MD5 dd7723174f1f3945cb3ddb36afd94aec
BLAKE2b-256 5dfc171e07494063e8e56c2db89a360a3a565bb94ae9a931a64fe163a1377e11

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.11.0.dev20200616114042-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.11.0.dev20200616114042-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 900.3 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/47.1.1 requests-toolbelt/0.9.1 tqdm/4.46.1 CPython/3.7.7

File hashes

Hashes for tfa_nightly-0.11.0.dev20200616114042-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 1dedb1f42cb3ee17237a98abd141e060c70c35582a235e825dc58111f07f0e58
MD5 c07027ffbebac5ed6232428b5bec1fc4
BLAKE2b-256 5447b10b575c1af569d7bc2aa37c953f5ee227d245bf3735ecd1ed72b2d89157

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.11.0.dev20200616114042-cp37-cp37m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.11.0.dev20200616114042-cp37-cp37m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 08c23e9e45d2b229a5189f18e8d4c7f7e9e6eb021b066318561b012e83fd57ce
MD5 6ccbc1550cd91d4e43fb6fa4706920ab
BLAKE2b-256 35238f946e0ab93624bbccf301f7d3c245f76ccd968d6da84e8b82950dc94666

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.11.0.dev20200616114042-cp37-cp37m-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.11.0.dev20200616114042-cp37-cp37m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 37a76d000fad3f79ef5845102a90085738510f01628af409a0626f53da2aef56
MD5 25b5453d114ee7f8202e8aeca40a61ac
BLAKE2b-256 08b151773d54250d0f1dec6b24a07c8c1ffb071d858b1c048dd60a04c9f92e6d

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.11.0.dev20200616114042-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.11.0.dev20200616114042-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 900.3 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/47.1.1 requests-toolbelt/0.9.1 tqdm/4.46.1 CPython/3.7.7

File hashes

Hashes for tfa_nightly-0.11.0.dev20200616114042-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 22597d8ea3c47e6016bd3d933a222488e203aa91905d799e219e30bce7318f3a
MD5 a806c606c9d0e075757c8e2ea60cae80
BLAKE2b-256 40d98674cc5945dd2192836f6ee0f2b60e1c6b2d4877514e709dc0b0dab76710

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.11.0.dev20200616114042-cp36-cp36m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.11.0.dev20200616114042-cp36-cp36m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 52423f7905ab0a85d53b8ffab88530dcdad0f2540c88835df6656a3a4119865c
MD5 b5f4715621f0fe10f78dbf741bb474ff
BLAKE2b-256 0a66d5434fb6ac9e94113ec59e5f50a52064d7798c4930f502660da5eae5d50c

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.11.0.dev20200616114042-cp36-cp36m-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.11.0.dev20200616114042-cp36-cp36m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 9e5f73bb4785b0f06c2fed6215c2043fb49a785a00d66c5749472bab266dff23
MD5 5d8307e94d8bed529f4055946c71b7b5
BLAKE2b-256 c709e7b6022f73700c87a482df635a5f45444b7c5abcace8d17f079fde9c5d77

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.11.0.dev20200616114042-cp35-cp35m-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.11.0.dev20200616114042-cp35-cp35m-win_amd64.whl
  • Upload date:
  • Size: 900.3 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/47.1.1 requests-toolbelt/0.9.1 tqdm/4.46.1 CPython/3.7.7

File hashes

Hashes for tfa_nightly-0.11.0.dev20200616114042-cp35-cp35m-win_amd64.whl
Algorithm Hash digest
SHA256 568b99cd0b62d47991c9a94bb42520a424421a722b2c2e6586ee857b23ea4cfa
MD5 07e8b3e55224fb7bd955f6f8a1fc5471
BLAKE2b-256 cedaa7faa96861a2f1ef86fb69dc3f7f07dc390461547d4d0224dc0a9fabe7b1

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.11.0.dev20200616114042-cp35-cp35m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.11.0.dev20200616114042-cp35-cp35m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 788125dab694c2a5d1c37a8488186596eb4a8b75e2f41555dfa19c1eda05f05f
MD5 c202b1b81f6169b0e0069b81e4671aac
BLAKE2b-256 db7387e7d67eb06c0e3ece3177824506feaedfe461887a1496fb4fbc784de3fa

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.11.0.dev20200616114042-cp35-cp35m-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.11.0.dev20200616114042-cp35-cp35m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 13eec9c6cd06d00e2b92302ef962fb7dbdd4eb260db6424de853721b2e9762af
MD5 8c0ba6cc40b2b75950f710e4983b57b0
BLAKE2b-256 deb4b6096b77fb6972dbc1fa58827d4fe38da8ddf909d3fc783fba35acf86917

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