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-0.12.0.dev20201106045243-cp38-cp38-win_amd64.whl (927.9 kB view details)

Uploaded CPython 3.8 Windows x86-64

tfa_nightly-0.12.0.dev20201106045243-cp38-cp38-manylinux2010_x86_64.whl (1.1 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.12+ x86-64

tfa_nightly-0.12.0.dev20201106045243-cp38-cp38-macosx_10_13_x86_64.whl (634.5 kB view details)

Uploaded CPython 3.8 macOS 10.13+ x86-64

tfa_nightly-0.12.0.dev20201106045243-cp37-cp37m-win_amd64.whl (927.9 kB view details)

Uploaded CPython 3.7m Windows x86-64

tfa_nightly-0.12.0.dev20201106045243-cp37-cp37m-manylinux2010_x86_64.whl (1.1 MB view details)

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

tfa_nightly-0.12.0.dev20201106045243-cp37-cp37m-macosx_10_13_x86_64.whl (634.5 kB view details)

Uploaded CPython 3.7m macOS 10.13+ x86-64

tfa_nightly-0.12.0.dev20201106045243-cp36-cp36m-win_amd64.whl (927.9 kB view details)

Uploaded CPython 3.6m Windows x86-64

tfa_nightly-0.12.0.dev20201106045243-cp36-cp36m-manylinux2010_x86_64.whl (1.1 MB view details)

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

tfa_nightly-0.12.0.dev20201106045243-cp36-cp36m-macosx_10_13_x86_64.whl (634.5 kB view details)

Uploaded CPython 3.6m macOS 10.13+ x86-64

File details

Details for the file tfa_nightly-0.12.0.dev20201106045243-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.12.0.dev20201106045243-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 927.9 kB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.6.1 requests/2.24.0 setuptools/50.3.2 requests-toolbelt/0.9.1 tqdm/4.51.0 CPython/3.7.9

File hashes

Hashes for tfa_nightly-0.12.0.dev20201106045243-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 11119cd73ce7614e24182212b2123cf189297dfad91511114bd7be0eded1daca
MD5 bcd96050d49715ed1a58171a555f7b6d
BLAKE2b-256 196f08c55cb4538226ae1d2e8a0114b4e2ba578a38aef8fe1c5c248d870ee39b

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.12.0.dev20201106045243-cp38-cp38-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.12.0.dev20201106045243-cp38-cp38-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 104afca40e97e2a23bca9f2a7929b3134960bbec2c86b071c139c345b183768f
MD5 fc054b3d84dadf8500211d82c41581a6
BLAKE2b-256 d98d5c2770900252ad02c7d5789888313f53e15f8be34c34d10b57c182a9cce0

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.12.0.dev20201106045243-cp38-cp38-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.12.0.dev20201106045243-cp38-cp38-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 fca1400f960438cea366ac35b008bb872c3525d794822166ecd0e8d0a05045b9
MD5 db43c797b46ba8b4f1eb51c330850d9f
BLAKE2b-256 357e63dd43d86cd8e17b77c67bbe3cca4d526aeed422f4f0a872c6105badef7d

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.12.0.dev20201106045243-cp37-cp37m-win_amd64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.12.0.dev20201106045243-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 f1c92332eb48595a66e437c42afcb479f3442e31641c1592d415de4ee51fd678
MD5 9546eb71c85f5ce6f1e31ba546eebd5e
BLAKE2b-256 d13502939d6d3eb9cbb396efb5f6b7e957b61cd48797d09132a5ec7bd7b46872

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.12.0.dev20201106045243-cp37-cp37m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.12.0.dev20201106045243-cp37-cp37m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 44dd0ae99c72110e04e13e29ff0d26d878b6ab678e0b58260d7d45677e9ee1b7
MD5 103fb6de6cd56f83ee26866f9affa6f7
BLAKE2b-256 832a6c6ba36bedd2aead539a347d5563060d2a249ff4be7e422b84bb68d6cf7e

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.12.0.dev20201106045243-cp37-cp37m-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.12.0.dev20201106045243-cp37-cp37m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 e5c53d16aa0bc72e6beebb7bbf9d5b748c27a4a70205ad6329059f23d3507a1f
MD5 421cb287e54dacd098e8a5740b0e7c35
BLAKE2b-256 0961931d278271090093e7b47f2eb3fce611b8548c20eaec45ebb1e1dd000b3a

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.12.0.dev20201106045243-cp36-cp36m-win_amd64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.12.0.dev20201106045243-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 6116fdf1c887140e2629001ce3f9a9fe64d936cea160f0115b072290e4b7af4a
MD5 824b4e16f8637aa26b2e8a550ebc88f3
BLAKE2b-256 f934d29b9e623e23e444e77a0ec52e0356af25fe3d4639d7999380ee337feec6

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.12.0.dev20201106045243-cp36-cp36m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.12.0.dev20201106045243-cp36-cp36m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 20fca86659c1869ada2da617089ecfc57313e0a2b3b51bc436ccab365bc0092a
MD5 4230fe1549534528c0aa00cb84470cab
BLAKE2b-256 4ccbd648f53e37689e58f1badcaef0a9ae22aedacfe051f70230b3aba135e551

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.12.0.dev20201106045243-cp36-cp36m-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.12.0.dev20201106045243-cp36-cp36m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 79a2d38e1a6410273935620bfeaecff80b444e6ab551012d84c5eecee83775df
MD5 ffa8922fc7cc953b1e2222bd8b90c482
BLAKE2b-256 4a892614b54388fcf3cad113f1072e005b002732051f159dc9c64b1ec8ce817b

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