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.dev20201119213020-cp38-cp38-win_amd64.whl (925.5 kB view details)

Uploaded CPython 3.8Windows x86-64

tfa_nightly-0.12.0.dev20201119213020-cp38-cp38-manylinux2010_x86_64.whl (1.1 MB view details)

Uploaded CPython 3.8manylinux: glibc 2.12+ x86-64

tfa_nightly-0.12.0.dev20201119213020-cp38-cp38-macosx_10_13_x86_64.whl (634.5 kB view details)

Uploaded CPython 3.8macOS 10.13+ x86-64

tfa_nightly-0.12.0.dev20201119213020-cp37-cp37m-win_amd64.whl (925.5 kB view details)

Uploaded CPython 3.7mWindows x86-64

tfa_nightly-0.12.0.dev20201119213020-cp37-cp37m-manylinux2010_x86_64.whl (1.1 MB view details)

Uploaded CPython 3.7mmanylinux: glibc 2.12+ x86-64

tfa_nightly-0.12.0.dev20201119213020-cp37-cp37m-macosx_10_13_x86_64.whl (634.5 kB view details)

Uploaded CPython 3.7mmacOS 10.13+ x86-64

tfa_nightly-0.12.0.dev20201119213020-cp36-cp36m-win_amd64.whl (925.5 kB view details)

Uploaded CPython 3.6mWindows x86-64

tfa_nightly-0.12.0.dev20201119213020-cp36-cp36m-manylinux2010_x86_64.whl (1.1 MB view details)

Uploaded CPython 3.6mmanylinux: glibc 2.12+ x86-64

tfa_nightly-0.12.0.dev20201119213020-cp36-cp36m-macosx_10_13_x86_64.whl (634.5 kB view details)

Uploaded CPython 3.6mmacOS 10.13+ x86-64

File details

Details for the file tfa_nightly-0.12.0.dev20201119213020-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.12.0.dev20201119213020-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 925.5 kB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.6.1 requests/2.25.0 setuptools/50.3.2 requests-toolbelt/0.9.1 tqdm/4.52.0 CPython/3.7.9

File hashes

Hashes for tfa_nightly-0.12.0.dev20201119213020-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 19199cc0a4f7bb6ab2bcba40b4662dd5c5860f465c69ed86737d3464b254c0a8
MD5 6d875a0daf287634fadb9587b8dee4c6
BLAKE2b-256 42a80e6f9d69d78c6be6d8f1858e2f66befc764d458af43d36e22862e9a9e369

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.12.0.dev20201119213020-cp38-cp38-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.12.0.dev20201119213020-cp38-cp38-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 1f071e482620ba791a61320a8642c6e53a064cbe81f2f8af3a8b273ebd04e2ff
MD5 e6fbf7386d429c0d541e36620ced1798
BLAKE2b-256 8c4bc6f024b661754dea3cd30fe8b0932884776d3d5a715ff2be5a0fcce0bb40

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.12.0.dev20201119213020-cp38-cp38-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.12.0.dev20201119213020-cp38-cp38-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 a1dbf4f0a6d7ecc1f3ef78b497a5d767aced3f1692860a06b39812972f9537cf
MD5 efed8ac8bc97a2b4520b11bbd6b5535b
BLAKE2b-256 0a41f6c8e71e173ca020c412af89dd966c992a52efe418ee2c67c25fcf9abcb7

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.12.0.dev20201119213020-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.12.0.dev20201119213020-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 925.5 kB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.6.1 requests/2.25.0 setuptools/50.3.2 requests-toolbelt/0.9.1 tqdm/4.52.0 CPython/3.7.9

File hashes

Hashes for tfa_nightly-0.12.0.dev20201119213020-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 572dda6b80544b6c424629612ff43ee8033cca2dd76cc08022c03dbcc013e5bd
MD5 b0cee57fe1d781dbe6dbee88892b10ef
BLAKE2b-256 4a2d5081601a8e0baffb83d1b51a790366073e5fa8b77d534129f5fd1a70bb56

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.12.0.dev20201119213020-cp37-cp37m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.12.0.dev20201119213020-cp37-cp37m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 bb52144e72f7281ee936d4bd419618b52d11df3d2da212cd236b09ed8cec6490
MD5 096d841a2b379d1f739951afc3c2e4ee
BLAKE2b-256 9b1460f41838fc5563300ec8db65fa4ed512a607bb0a13c4127d8063f7809c85

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.12.0.dev20201119213020-cp37-cp37m-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.12.0.dev20201119213020-cp37-cp37m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 5cf38f324aec7b2c48fa15df58914b0131beded8ae78dc5832e4d86e7895101b
MD5 d8756f52457c71f4ef736f2497d62291
BLAKE2b-256 0da7ac3c3a85ba9f880f9a0b6e95a0a7cf3c5b1e545d64d2301c7661fd8a51ce

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.12.0.dev20201119213020-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.12.0.dev20201119213020-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 925.5 kB
  • Tags: CPython 3.6m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.6.1 requests/2.25.0 setuptools/50.3.2 requests-toolbelt/0.9.1 tqdm/4.52.0 CPython/3.7.9

File hashes

Hashes for tfa_nightly-0.12.0.dev20201119213020-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 2f3a86ede7cda8290cd3692ea25c56162233d56dcfa026f21aceee1bdfca45bd
MD5 e1fa6436dcfa8c7830b602afd07fef81
BLAKE2b-256 d02d0d4dbb6095b1618ae34078cf55d7c38bd24b82c00849900662e9c911fbe3

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.12.0.dev20201119213020-cp36-cp36m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.12.0.dev20201119213020-cp36-cp36m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 d189791f2b5607921bff411f3e13a3562d0c3e7670144ac89dfc69d7dcce6783
MD5 ad8d8aa2974fbc60896465036ddee7ec
BLAKE2b-256 b26e90232a2da3671305a196785356e78e7031b9e3578b5c9578757a3b6cbcb8

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.12.0.dev20201119213020-cp36-cp36m-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.12.0.dev20201119213020-cp36-cp36m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 61243e9aec11c5314703f678bf9b7674428c6e7cef73a15358c307881d8c9035
MD5 ae3c9af0f7dad86a3c15b1bf04360cb6
BLAKE2b-256 112b11057f8b0df06d11437122d35aa445826a4dde10d8bba6200d9b07fc856e

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