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-0.12.0.dev20201217043240-cp38-cp38-win_amd64.whl (641.7 kB view details)

Uploaded CPython 3.8Windows x86-64

tfa_nightly-0.12.0.dev20201217043240-cp38-cp38-manylinux2010_x86_64.whl (702.9 kB view details)

Uploaded CPython 3.8manylinux: glibc 2.12+ x86-64

tfa_nightly-0.12.0.dev20201217043240-cp38-cp38-macosx_10_13_x86_64.whl (517.8 kB view details)

Uploaded CPython 3.8macOS 10.13+ x86-64

tfa_nightly-0.12.0.dev20201217043240-cp37-cp37m-win_amd64.whl (641.7 kB view details)

Uploaded CPython 3.7mWindows x86-64

tfa_nightly-0.12.0.dev20201217043240-cp37-cp37m-manylinux2010_x86_64.whl (702.9 kB view details)

Uploaded CPython 3.7mmanylinux: glibc 2.12+ x86-64

tfa_nightly-0.12.0.dev20201217043240-cp37-cp37m-macosx_10_13_x86_64.whl (517.8 kB view details)

Uploaded CPython 3.7mmacOS 10.13+ x86-64

tfa_nightly-0.12.0.dev20201217043240-cp36-cp36m-win_amd64.whl (641.7 kB view details)

Uploaded CPython 3.6mWindows x86-64

tfa_nightly-0.12.0.dev20201217043240-cp36-cp36m-manylinux2010_x86_64.whl (702.8 kB view details)

Uploaded CPython 3.6mmanylinux: glibc 2.12+ x86-64

tfa_nightly-0.12.0.dev20201217043240-cp36-cp36m-macosx_10_13_x86_64.whl (517.8 kB view details)

Uploaded CPython 3.6mmacOS 10.13+ x86-64

File details

Details for the file tfa_nightly-0.12.0.dev20201217043240-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.12.0.dev20201217043240-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 641.7 kB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.6.1 requests/2.25.1 setuptools/51.0.0 requests-toolbelt/0.9.1 tqdm/4.54.1 CPython/3.7.9

File hashes

Hashes for tfa_nightly-0.12.0.dev20201217043240-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 307edc7bec4e310f862fe19f05143eadeb0b40f1ad611bc6da807b38c538d5f4
MD5 1e2024e0343662f43e597d6467f13944
BLAKE2b-256 a22f1d2935a80223cb4604c32c3a9bcd3328f5ff54d19951c9a0b1a8dc1465b2

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.12.0.dev20201217043240-cp38-cp38-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.12.0.dev20201217043240-cp38-cp38-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 f155943e87e862b029971e7c6ec72622f24ca6020877a4b7fbd2c33898c970b7
MD5 23ff295f77230ad67f0fb16ce52914aa
BLAKE2b-256 e20278044927e171b5ea093924e317e451db1345d5e550dd087e634de089f67a

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.12.0.dev20201217043240-cp38-cp38-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.12.0.dev20201217043240-cp38-cp38-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 a42e4ff85f0e05af5afb0a7b0d9b0816edf0956cd2ef279e02f4b72c22d36fee
MD5 39aa531a9173520503d22418f41e46d3
BLAKE2b-256 e9ee7830f54a53b0adaf19ade35ffa7afbb61af8aac2205b953636157b681144

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.12.0.dev20201217043240-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.12.0.dev20201217043240-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 641.7 kB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.6.1 requests/2.25.1 setuptools/51.0.0 requests-toolbelt/0.9.1 tqdm/4.54.1 CPython/3.7.9

File hashes

Hashes for tfa_nightly-0.12.0.dev20201217043240-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 32dd56d5e1e02cd443e1798017419d2fc5b1de2d3f5095b752a99dd58245b1c8
MD5 3521af92f2122cb48f4dfd797bc794b5
BLAKE2b-256 7c5e52ec5fbf37724e1c8dabba5c686020cfae5010c45c89ab71a1778286e12b

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.12.0.dev20201217043240-cp37-cp37m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.12.0.dev20201217043240-cp37-cp37m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 d84c01f6b3e9cea85fb1d81bf0b9503f27c03b5b257de022c7e88eef534ef282
MD5 5820fb9999a3630568ad435d95340ee3
BLAKE2b-256 465b245dead9d47a9d26876447b518d5a32a6bf67d9247ebf7621955876a6e48

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.12.0.dev20201217043240-cp37-cp37m-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.12.0.dev20201217043240-cp37-cp37m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 b3a0c1565b13f78a5fa3f817d5d71b6cd2eab102c5b381c0ced6e343ff1cef56
MD5 9b7c4246b762d1dd47dd7af40dede490
BLAKE2b-256 764eb5c6d9f8437b2bfcd34c502d05e6c3e767fec7280aa7f8f049b889432ad6

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.12.0.dev20201217043240-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.12.0.dev20201217043240-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 641.7 kB
  • Tags: CPython 3.6m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.6.1 requests/2.25.1 setuptools/51.0.0 requests-toolbelt/0.9.1 tqdm/4.54.1 CPython/3.7.9

File hashes

Hashes for tfa_nightly-0.12.0.dev20201217043240-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 d47698160207104eb9b246f09f25b43b8fedf8949f23bffc7a9a83941228b4e4
MD5 bed2d5452a6ee7fdd9c3369432490ba7
BLAKE2b-256 03b288891e358aa49511fca084bbbe6654a7f7dea6c5ab1134202d2dc7a25bda

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.12.0.dev20201217043240-cp36-cp36m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.12.0.dev20201217043240-cp36-cp36m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 635c35d00bddbe3d3631c692542204417ac01b2134d6c240eacc367263b45168
MD5 72072977b97ec46688e2ac2d2b40bb2a
BLAKE2b-256 5ce3472c054624826467859de6b1aafb79196d41647cd7d15e30c8558e98e8b3

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.12.0.dev20201217043240-cp36-cp36m-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.12.0.dev20201217043240-cp36-cp36m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 c4a55a8ca252fbb91c58ace9fdcb43f776c27c59f2d4fe98311194ce0db15c50
MD5 6fc258af7146a28f1f7998a21a7ae939
BLAKE2b-256 92ec3da606abe609702256cdfa318e39cc7f627935602c6bd211c10856f4d732

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