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-0.13.0.dev20201228052315-cp38-cp38-win_amd64.whl (642.0 kB view details)

Uploaded CPython 3.8Windows x86-64

tfa_nightly-0.13.0.dev20201228052315-cp38-cp38-manylinux2010_x86_64.whl (703.2 kB view details)

Uploaded CPython 3.8manylinux: glibc 2.12+ x86-64

tfa_nightly-0.13.0.dev20201228052315-cp38-cp38-macosx_10_13_x86_64.whl (518.1 kB view details)

Uploaded CPython 3.8macOS 10.13+ x86-64

tfa_nightly-0.13.0.dev20201228052315-cp37-cp37m-win_amd64.whl (642.0 kB view details)

Uploaded CPython 3.7mWindows x86-64

tfa_nightly-0.13.0.dev20201228052315-cp37-cp37m-manylinux2010_x86_64.whl (703.2 kB view details)

Uploaded CPython 3.7mmanylinux: glibc 2.12+ x86-64

tfa_nightly-0.13.0.dev20201228052315-cp37-cp37m-macosx_10_13_x86_64.whl (518.1 kB view details)

Uploaded CPython 3.7mmacOS 10.13+ x86-64

tfa_nightly-0.13.0.dev20201228052315-cp36-cp36m-win_amd64.whl (642.0 kB view details)

Uploaded CPython 3.6mWindows x86-64

tfa_nightly-0.13.0.dev20201228052315-cp36-cp36m-manylinux2010_x86_64.whl (703.2 kB view details)

Uploaded CPython 3.6mmanylinux: glibc 2.12+ x86-64

tfa_nightly-0.13.0.dev20201228052315-cp36-cp36m-macosx_10_13_x86_64.whl (518.1 kB view details)

Uploaded CPython 3.6mmacOS 10.13+ x86-64

File details

Details for the file tfa_nightly-0.13.0.dev20201228052315-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.13.0.dev20201228052315-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 642.0 kB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.6.1 requests/2.25.1 setuptools/51.0.0 requests-toolbelt/0.9.1 tqdm/4.55.0 CPython/3.7.9

File hashes

Hashes for tfa_nightly-0.13.0.dev20201228052315-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 b30d297ea680afd16608c17c29ba16cf71f80a33a65622621a006349f598d81f
MD5 d0f53a84b42cfbb38942f39a17b98682
BLAKE2b-256 55c80563787d2f0bf56e9d5a3c021a1d3e95fce280633e342ac2bf42206e766c

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.13.0.dev20201228052315-cp38-cp38-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.13.0.dev20201228052315-cp38-cp38-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 16eeb83d3582694e00e11c37a0fd362d0de6b9d090158f299bd9be624b17e930
MD5 9319a90034dd635d06258d723f780b30
BLAKE2b-256 919ec7d42c7f6551afddba97c1dd9533ba9240251ccfa55124453a8c9a9cab1a

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.13.0.dev20201228052315-cp38-cp38-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.13.0.dev20201228052315-cp38-cp38-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 bc4b5e7c75cce0cccd43b2654cd600b65602284e3b47deac8a3b839b84a4448a
MD5 473faa8745286add8c1b3763cc0b9655
BLAKE2b-256 8e6132332127c554ca83dd769e646a507e5c6ca7d1b8d71eb0e1a35e3f15ffd8

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.13.0.dev20201228052315-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.13.0.dev20201228052315-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 642.0 kB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.6.1 requests/2.25.1 setuptools/51.0.0 requests-toolbelt/0.9.1 tqdm/4.55.0 CPython/3.7.9

File hashes

Hashes for tfa_nightly-0.13.0.dev20201228052315-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 2003d5a1beb63cd64a9efe277262f4d4ccb8bfda30e0fe87b389025d71fc5ae7
MD5 7efc0d9f06ef79980b92a81d1ad48bee
BLAKE2b-256 e81965f4c37f3ff9e61f158a3a692668fa1cae4e085db01684dae1c91cfe8d3f

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.13.0.dev20201228052315-cp37-cp37m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.13.0.dev20201228052315-cp37-cp37m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 a68f0305c51b228f1a624dbbc6f8aaf1c44640f2ead1e6f84254e4135a07f41c
MD5 a5547f90ca944710dca0f96e1b33d0d7
BLAKE2b-256 1a6ad80cb59b9e60ba5dba45a303f52a0c7d46390e7dc1cfcb34d5aa2762ba03

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.13.0.dev20201228052315-cp37-cp37m-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.13.0.dev20201228052315-cp37-cp37m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 65e3f3c782b7e0f7579c206b9cc5db6760c4e73aad6cb72aee59b1f3d9d540a7
MD5 7aa8f778b30ce5dcb7eb433a563dac93
BLAKE2b-256 570e9a1e328ad0822c796a39dcf6fb95fe3b4ff7283b335f1a8c533e8fec252c

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.13.0.dev20201228052315-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.13.0.dev20201228052315-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 642.0 kB
  • Tags: CPython 3.6m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.6.1 requests/2.25.1 setuptools/51.0.0 requests-toolbelt/0.9.1 tqdm/4.55.0 CPython/3.7.9

File hashes

Hashes for tfa_nightly-0.13.0.dev20201228052315-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 6d03278d3be4a1fd99f17ae6845fb54798f685a823ecd45e48ac112c0cabf03c
MD5 1e08cb3f6dd89e72a54bff53726e51b8
BLAKE2b-256 2d97c39cb05e251ac2a83a18e94161542dd11e61ca36bfe09497aa443851fa10

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.13.0.dev20201228052315-cp36-cp36m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.13.0.dev20201228052315-cp36-cp36m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 59a0ae0c50c65627b92366b4b49cc83ebcb3c8e2a89b178a3573d99b4aca2061
MD5 7db51d5ae1e790bb2362d2a36062e565
BLAKE2b-256 8c548f28f2303178cbc0d25625653187a8c83c04e67304a8cd1ae6a22dc02e88

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.13.0.dev20201228052315-cp36-cp36m-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.13.0.dev20201228052315-cp36-cp36m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 e01c5c1a10fd56d524b40a4c548d6bebe59ce8a8c949af41bb7b13363a002e7e
MD5 18ad857b7a00ecb254f9f8938cf83858
BLAKE2b-256 d50077a8596a13cbcf6202239bd2494d61d013ef94660742632586dae6a247b0

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