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-0.17.0.dev20220808081458-cp310-cp310-win_amd64.whl (763.7 kB view details)

Uploaded CPython 3.10 Windows x86-64

tfa_nightly-0.17.0.dev20220808081458-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.1 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

tfa_nightly-0.17.0.dev20220808081458-cp310-cp310-macosx_11_0_arm64.whl (551.1 kB view details)

Uploaded CPython 3.10 macOS 11.0+ ARM64

tfa_nightly-0.17.0.dev20220808081458-cp310-cp310-macosx_10_15_x86_64.whl (594.1 kB view details)

Uploaded CPython 3.10 macOS 10.15+ x86-64

tfa_nightly-0.17.0.dev20220808081458-cp39-cp39-win_amd64.whl (763.7 kB view details)

Uploaded CPython 3.9 Windows x86-64

tfa_nightly-0.17.0.dev20220808081458-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.1 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

tfa_nightly-0.17.0.dev20220808081458-cp39-cp39-macosx_11_0_arm64.whl (551.0 kB view details)

Uploaded CPython 3.9 macOS 11.0+ ARM64

tfa_nightly-0.17.0.dev20220808081458-cp39-cp39-macosx_10_15_x86_64.whl (594.1 kB view details)

Uploaded CPython 3.9 macOS 10.15+ x86-64

tfa_nightly-0.17.0.dev20220808081458-cp38-cp38-win_amd64.whl (763.6 kB view details)

Uploaded CPython 3.8 Windows x86-64

tfa_nightly-0.17.0.dev20220808081458-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.1 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

tfa_nightly-0.17.0.dev20220808081458-cp38-cp38-macosx_11_0_arm64.whl (551.0 kB view details)

Uploaded CPython 3.8 macOS 11.0+ ARM64

tfa_nightly-0.17.0.dev20220808081458-cp38-cp38-macosx_10_15_x86_64.whl (594.1 kB view details)

Uploaded CPython 3.8 macOS 10.15+ x86-64

tfa_nightly-0.17.0.dev20220808081458-cp37-cp37m-win_amd64.whl (763.7 kB view details)

Uploaded CPython 3.7m Windows x86-64

tfa_nightly-0.17.0.dev20220808081458-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.1 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ x86-64

tfa_nightly-0.17.0.dev20220808081458-cp37-cp37m-macosx_10_15_x86_64.whl (594.1 kB view details)

Uploaded CPython 3.7m macOS 10.15+ x86-64

File details

Details for the file tfa_nightly-0.17.0.dev20220808081458-cp310-cp310-win_amd64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.17.0.dev20220808081458-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 39bcc167b1bb3fbc5f365493f60e1478cfcbb74b48341dad9202d07fcd54cdc3
MD5 a4f1fecd4d1f596f7a77d4b858df774e
BLAKE2b-256 aec5539b4170d48284f29af224dd3b08f3b805362750e440bc247dcf326491d3

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.17.0.dev20220808081458-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.17.0.dev20220808081458-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 3b02729f3e9d75a5e521ede109bcf1f9e55a47e524ff21b9ba02406fe3fe8b58
MD5 25b425323997ea3a23b2e99080cc6a35
BLAKE2b-256 7c20fd47d80ccd17e3d963258ae78480d24c913378e8403df4a15d0cfc6be00a

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.17.0.dev20220808081458-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.17.0.dev20220808081458-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 a1cddc3a208ec75c8cf073421682f10d7109de361cca4f43df2438ff4b496760
MD5 4bbb61dc28d295afc15947ae714d171a
BLAKE2b-256 cbfab2eac170210ff111ad78ed6f792b0e50513697635ba3bf886c7026b90264

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.17.0.dev20220808081458-cp310-cp310-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.17.0.dev20220808081458-cp310-cp310-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 f1d2f637b1a2a7de2d7ba0b86ebc7deebd38c4e470f5e00b9d7270475b20492a
MD5 4238971f03d87ae3216eec8d572dbd26
BLAKE2b-256 908e22b9bb1ec3a7e38528294b062d83c27705b4cb0a7b81fcdbd994c299ddd2

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.17.0.dev20220808081458-cp39-cp39-win_amd64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.17.0.dev20220808081458-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 d808f60334918cd0e5a226c6cea8d1eb09352575634984085e824b1d977b3bf3
MD5 61f648b6a7204f8b7c68861ed8a880c9
BLAKE2b-256 d693e8ad37014874c604998de15875b041b8e8eaf40419d9147158c882c5da0e

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.17.0.dev20220808081458-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.17.0.dev20220808081458-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 9b2465e2e6f8e8a0e3304db740e978b9d076320af25e9862772d932ccc7ccc8e
MD5 a960e62b4081ec2d8e06c6c60cfcb282
BLAKE2b-256 6cc9b881882ed2b9003df3e460178e417f8be75cce934ebb753cdf1f1690bc10

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.17.0.dev20220808081458-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.17.0.dev20220808081458-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 1b38e67fadfaac788bc6ecdb3fe0b0afb18a20bfdc671ba5ca01cf76268d519b
MD5 449c94a5b3637c99a47b8f6ac148898e
BLAKE2b-256 ea2b4faefda19254c9b76a175b44cafbe8d6d427ab1cb28b1ddb6201ec83e93e

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.17.0.dev20220808081458-cp39-cp39-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.17.0.dev20220808081458-cp39-cp39-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 aed82db6e37af3b5055ded9677ce7247ea42e13a1e5e4bff9efe4979ca0ef394
MD5 0c2cf73aa9cc3fbcd03a9a8eaa99c5b5
BLAKE2b-256 c20dc90a13d868b31d6a4d93f310385f515ef8802c8f0f286ec91e999b8e9c35

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.17.0.dev20220808081458-cp38-cp38-win_amd64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.17.0.dev20220808081458-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 acd92364c078271367f9fb0dbb27f767f8e4070938ed8add37dcbb8959868309
MD5 a2610bad058f858ca3b4a3a02e96e660
BLAKE2b-256 777b02495e0a50f322fd4fc80ec1d32bc616457303bb5c1d9fe57bfe730e6775

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.17.0.dev20220808081458-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.17.0.dev20220808081458-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 3829d5e1bbedad673efdd38a451239110d61ac9c102517a531bc1f6fbb994cc5
MD5 e519c39d10fc8872091d4090c3674dc6
BLAKE2b-256 37a1434527bc552da141be8ead98a84785c857b2de6343305f45d423c05383f7

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.17.0.dev20220808081458-cp38-cp38-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.17.0.dev20220808081458-cp38-cp38-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 648f224522be2b8de60db8ae9df60a65a12a568119b2b1140a6b3daaa11fb958
MD5 bbe759bdd6eb32fe07cba410e6d65a81
BLAKE2b-256 6b326ec885f99d73c96eff809f5f6f6f040443c383fa77f57127016df3f76e22

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.17.0.dev20220808081458-cp38-cp38-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.17.0.dev20220808081458-cp38-cp38-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 4da9fd696f2dd4abcee359e6ae37c9f7c52cd7817bef8f12d25e10b64c269ec7
MD5 a8413e1f4b0f74b2ece08dbdc336ae34
BLAKE2b-256 373c2770f3a50f3e70fdd10e359d60b3a8153708a46a3efd6b7119b8ecf7d93d

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.17.0.dev20220808081458-cp37-cp37m-win_amd64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.17.0.dev20220808081458-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 5da7421f8903333f235d7255beb1f066db52b2850add91252ac92fbe668a0dbf
MD5 aa557cf65949ec6fd7f60d7447eeec15
BLAKE2b-256 9b3e4b87acacccd27a59be6a72e96f7e64ef1691a0b73fbdb38f57b66e30c50b

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.17.0.dev20220808081458-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.17.0.dev20220808081458-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 2d426086edc3d0759100a29b057bf6804550f4c463e9e715ecadef5ab44f1a54
MD5 46dca39eac72bf85d0cb3f02badf324c
BLAKE2b-256 cc79eb90aeedbf9120b77c486db76976c8e84fccb3e980cec1c8e33833337c75

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.17.0.dev20220808081458-cp37-cp37m-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.17.0.dev20220808081458-cp37-cp37m-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 ff4a41a2c7a54525380c4bc8f7d49c2e43e581820eb0bb68b4dc8dc510d7ba10
MD5 44499c0af901168ddb3967fe3d3cdb69
BLAKE2b-256 cb0595b183d6dae25ad9cdc44d9e3807950983346f64d54b702e4b1b2643e8bf

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