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-0.3.0.dev20220119143523-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (6.1 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.12+ x86-64

tfra_nightly-0.3.0.dev20220119143523-cp39-cp39-macosx_10_13_x86_64.whl (3.7 MB view details)

Uploaded CPython 3.9 macOS 10.13+ x86-64

tfra_nightly-0.3.0.dev20220119143523-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (6.1 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.12+ x86-64

tfra_nightly-0.3.0.dev20220119143523-cp38-cp38-macosx_10_13_x86_64.whl (3.7 MB view details)

Uploaded CPython 3.8 macOS 10.13+ x86-64

tfra_nightly-0.3.0.dev20220119143523-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (6.1 MB view details)

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

tfra_nightly-0.3.0.dev20220119143523-cp37-cp37m-macosx_10_13_x86_64.whl (3.7 MB view details)

Uploaded CPython 3.7m macOS 10.13+ x86-64

File details

Details for the file tfra_nightly-0.3.0.dev20220119143523-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfra_nightly-0.3.0.dev20220119143523-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 81a868d510b6e255fd06f395991af0ebd9a23cf31b8e43b2f3011b812a16479f
MD5 d4c9dd4f71e8dacd12c2e70e7f384e9f
BLAKE2b-256 201795ae5f3182326822ba17df7ff86ee5b9508cf14e0135291081e7506eb02e

See more details on using hashes here.

File details

Details for the file tfra_nightly-0.3.0.dev20220119143523-cp39-cp39-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfra_nightly-0.3.0.dev20220119143523-cp39-cp39-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 08041c63f04899e12d56df739982c2c9b2212ac9cd01f7e5fdf6ef8ba5ce1167
MD5 aff37870a1d124efae4cf7b37bd2c3be
BLAKE2b-256 be9dcde6def1a6eda2fdac7063800991835c3de04d2561c3c4a5ee8198025b2c

See more details on using hashes here.

File details

Details for the file tfra_nightly-0.3.0.dev20220119143523-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfra_nightly-0.3.0.dev20220119143523-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 f932c2f76526507b5a3b4492bb6a46ade74626f67a42dc77d4d34611a664eca0
MD5 cf2e67693b02648e12d56f334e0229c7
BLAKE2b-256 cdee8edc8bc26887e5eabdefc1da5a88a69f00ea9fc7d5565345e83d15f8911b

See more details on using hashes here.

File details

Details for the file tfra_nightly-0.3.0.dev20220119143523-cp38-cp38-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfra_nightly-0.3.0.dev20220119143523-cp38-cp38-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 1b2dd8aa52a621af9774d9049e609ce6b30dc382a9f8c1d99e7824f6ab849fc1
MD5 b93522171212243ddec54443aa7a9a82
BLAKE2b-256 063871026726d4cb37fb6bbce1028158cf34a9498ae7f57c6a36f22aea1a81b3

See more details on using hashes here.

File details

Details for the file tfra_nightly-0.3.0.dev20220119143523-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfra_nightly-0.3.0.dev20220119143523-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 7220aec8aceec435837d426c9abe67953ade247a5588fefa811f4a4f071fdba9
MD5 21d6cae298d745a2f5147139736c8dc9
BLAKE2b-256 207479234280333c892b7e8d69c878c6aff4b90820b96720adcd30896b568c11

See more details on using hashes here.

File details

Details for the file tfra_nightly-0.3.0.dev20220119143523-cp37-cp37m-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfra_nightly-0.3.0.dev20220119143523-cp37-cp37m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 462aec24eef2037612bffd6e4af05dcb07db5657b23e73c4329078b34aad70cf
MD5 190eea8a64073ebdd3cc5d1895dddd17
BLAKE2b-256 ff6b6b95994afcc74455c3e27cc2d79d7be20c1124e9e7bbc299f884c8ab298d

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