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-0.9.0.dev20200214-cp37-cp37m-win_amd64.whl (839.3 kB view details)

Uploaded CPython 3.7m Windows x86-64

tfa_nightly-0.9.0.dev20200214-cp37-cp37m-manylinux2010_x86_64.whl (1.0 MB view details)

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

tfa_nightly-0.9.0.dev20200214-cp37-cp37m-macosx_10_15_x86_64.whl (547.7 kB view details)

Uploaded CPython 3.7m macOS 10.15+ x86-64

tfa_nightly-0.9.0.dev20200214-cp36-cp36m-win_amd64.whl (839.3 kB view details)

Uploaded CPython 3.6m Windows x86-64

tfa_nightly-0.9.0.dev20200214-cp36-cp36m-manylinux2010_x86_64.whl (1.0 MB view details)

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

tfa_nightly-0.9.0.dev20200214-cp36-cp36m-macosx_10_15_x86_64.whl (547.7 kB view details)

Uploaded CPython 3.6m macOS 10.15+ x86-64

tfa_nightly-0.9.0.dev20200214-cp35-cp35m-win_amd64.whl (839.3 kB view details)

Uploaded CPython 3.5m Windows x86-64

tfa_nightly-0.9.0.dev20200214-cp35-cp35m-manylinux2010_x86_64.whl (1.0 MB view details)

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

tfa_nightly-0.9.0.dev20200214-cp35-cp35m-macosx_10_15_x86_64.whl (547.7 kB view details)

Uploaded CPython 3.5m macOS 10.15+ x86-64

File details

Details for the file tfa_nightly-0.9.0.dev20200214-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.9.0.dev20200214-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 839.3 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/2.22.0 setuptools/45.1.0 requests-toolbelt/0.9.1 tqdm/4.42.1 CPython/3.7.6

File hashes

Hashes for tfa_nightly-0.9.0.dev20200214-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 c29f829612099fb900ae4c83977682fd351a8c7e74c3852fa5215dc1995afef3
MD5 a8a195fcefa1192c0eb96b88104417b7
BLAKE2b-256 c57328df27798f4f7640cf2dd12790ee1291043a29c67b1c988cd7aa1db47987

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.9.0.dev20200214-cp37-cp37m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.9.0.dev20200214-cp37-cp37m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 25a64268f8528fab69c9e76ae8de69a44a488c5910cf9d53921bf2c0afb0dc37
MD5 98b30a6d383dc313b27a01d2d3711f26
BLAKE2b-256 42723418861f3757005e1f0963eb16c59c1cf4ae2fab8cdddd52b741567f05e0

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.9.0.dev20200214-cp37-cp37m-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.9.0.dev20200214-cp37-cp37m-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 47bd7851b4262bb3fa605d436d50c39d9ce6da02c79c0ab8f144f9610e9e27ae
MD5 401c9106c9091628ede1e014130db5f0
BLAKE2b-256 57ab94faa41aa124f7a836a1493d0b4b2f7a49934f5168d9ba782ae9c79f3a94

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.9.0.dev20200214-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.9.0.dev20200214-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 839.3 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/2.22.0 setuptools/45.1.0 requests-toolbelt/0.9.1 tqdm/4.42.1 CPython/3.7.6

File hashes

Hashes for tfa_nightly-0.9.0.dev20200214-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 456e936bb5b76654e70f592a423087130d7023540e93660407fc4fbe71a0142e
MD5 2f3d722b18f0417dd1166b214f75afd3
BLAKE2b-256 d0e3d883836a677dc14d374d97a9931a6510621b99abe9ecf82358fd583c934d

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.9.0.dev20200214-cp36-cp36m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.9.0.dev20200214-cp36-cp36m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 bc68691093596c430ea01a7b9ae3f2a908ad92f96e2eebce63556dee0b188036
MD5 81f71d6b7c07dca24386d077e1b22a18
BLAKE2b-256 16a0d01050ac6505e490c6220d990e50dc6b3c17483fec4a419cf7880125abc0

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.9.0.dev20200214-cp36-cp36m-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.9.0.dev20200214-cp36-cp36m-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 1d06058fe37c7c1136532443e9cf5df1aeb33b262ed9e5963eba643a1e90fe2b
MD5 8a0776aea3252815841071f499f82e75
BLAKE2b-256 5c3a1b60297df90416cedff8982e5f6d9d3147af60fe3a1a60e221948b9cc3e7

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.9.0.dev20200214-cp35-cp35m-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.9.0.dev20200214-cp35-cp35m-win_amd64.whl
  • Upload date:
  • Size: 839.3 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/2.22.0 setuptools/45.1.0 requests-toolbelt/0.9.1 tqdm/4.42.1 CPython/3.7.6

File hashes

Hashes for tfa_nightly-0.9.0.dev20200214-cp35-cp35m-win_amd64.whl
Algorithm Hash digest
SHA256 76c6cd08b6f182b966d4d590b920253d7b7e72bba58686ae5a877fda67c5b379
MD5 b775862ad3bf28ba89fed5247f2f3063
BLAKE2b-256 0bdebb85af1d33a53434e92baeac4f2c4e05b5be7a31e9db21c9e97e1fb50592

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.9.0.dev20200214-cp35-cp35m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.9.0.dev20200214-cp35-cp35m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 f496cbf56718ef7266156009e157d4ba6f4dc684ad7abcc7c1ed0f02519789b9
MD5 af712a9cd701d2900e906c0b6c19cf47
BLAKE2b-256 75059bd73e01ca02c0981ccd541ee4a879db1f8e0a1ff94d030ebf3f04321487

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.9.0.dev20200214-cp35-cp35m-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.9.0.dev20200214-cp35-cp35m-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 cab715e32f6b1af45fb3ecfbddbb24496bb05744b8a49ec473d2a06c8ea58263
MD5 96130292588a8cd6dfe044dd9abf6848
BLAKE2b-256 434de60b5b25840aa40b5af244e30efb7e936545e0d6e3f52c67e70f44cfdde0

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