Skip to main content

TensorFlow Recommenders Addons.

Project description

TensorFlow Recommenders Addons are a collection of projects related to large-scale recommendation systems built upon TensorFlow. They are contributed and maintained by the community. Those contributions will be complementary to TensorFlow Core and TensorFlow Recommenders etc.

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

tfra_nightly-0.4.0.dev20221031083518-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (6.9 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.12+ x86-64

tfra_nightly-0.4.0.dev20221031083518-cp39-cp39-macosx_10_13_x86_64.whl (4.3 MB view details)

Uploaded CPython 3.9 macOS 10.13+ x86-64

tfra_nightly-0.4.0.dev20221031083518-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (6.9 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.12+ x86-64

tfra_nightly-0.4.0.dev20221031083518-cp38-cp38-macosx_10_13_x86_64.whl (4.3 MB view details)

Uploaded CPython 3.8 macOS 10.13+ x86-64

tfra_nightly-0.4.0.dev20221031083518-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (6.9 MB view details)

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

tfra_nightly-0.4.0.dev20221031083518-cp37-cp37m-macosx_10_13_x86_64.whl (4.3 MB view details)

Uploaded CPython 3.7m macOS 10.13+ x86-64

File details

Details for the file tfra_nightly-0.4.0.dev20221031083518-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfra_nightly-0.4.0.dev20221031083518-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 3b4733917854031f4401a8018e8da75876eb8a57b823304d1b247094a0eb8157
MD5 5b49b515c238edf1fd2d07d2df864e02
BLAKE2b-256 0ee73101afe8472294d2eabe46988139d76fad7264061d1c9c0e5b29f83edf78

See more details on using hashes here.

File details

Details for the file tfra_nightly-0.4.0.dev20221031083518-cp39-cp39-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfra_nightly-0.4.0.dev20221031083518-cp39-cp39-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 1488f2994b75b2af5e3e19592364c480c2f6f191f6dca320c525d62955fb9e93
MD5 705de9f6a08f3d6fdd81844474048abc
BLAKE2b-256 dd2126bcd933c4de9ecceabc73cbbc2047d11ff963e0e384f123ddc020f70dd1

See more details on using hashes here.

File details

Details for the file tfra_nightly-0.4.0.dev20221031083518-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfra_nightly-0.4.0.dev20221031083518-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 b34b8dd97e4ad831395bda29c94d23ea54651ea31fbf2bc35715e43e5de818d3
MD5 3cf8e071097e718f01ecca777d3c0fcf
BLAKE2b-256 55e69d0ad673c597cd59a78f26e2ca27847da9d82975b7aad8a261b8e81f73fe

See more details on using hashes here.

File details

Details for the file tfra_nightly-0.4.0.dev20221031083518-cp38-cp38-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfra_nightly-0.4.0.dev20221031083518-cp38-cp38-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 13bc5704e7e935027df2fded780b0f29e6ee591fe9b52a834fa8d723554153b4
MD5 833ec1e1da23f4c5f77479986b7132a0
BLAKE2b-256 31b444b7f5a94f10401c2edd6c1ab574f6bd4a74ad973042ca35ba975d06345a

See more details on using hashes here.

File details

Details for the file tfra_nightly-0.4.0.dev20221031083518-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfra_nightly-0.4.0.dev20221031083518-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 12991208a59202a7984e035f66dd95b6678930746ee1ddcd171475adb347cda7
MD5 dadcf6a5691aa9e63b59db7b641d217d
BLAKE2b-256 522b8684fa2eb5664c3241a5bf01d9ea9a3a7f1283b8769233af9f2d3ae976a7

See more details on using hashes here.

File details

Details for the file tfra_nightly-0.4.0.dev20221031083518-cp37-cp37m-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfra_nightly-0.4.0.dev20221031083518-cp37-cp37m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 fc43d0a4c7e6a125b9766d408fbf1838010c115a139f73234e90510ba6d161e5
MD5 a44b78fba94663fc38ec6905f9a4f146
BLAKE2b-256 7dc20417a5b6ee325c561b44af524c5928bd04617dabd5d837711e67059381fb

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