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

If you're not sure about the file name format, learn more about wheel file names.

tfra_nightly-0.5.0.dev20221220034310-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (6.9 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.12+ x86-64

tfra_nightly-0.5.0.dev20221220034310-cp39-cp39-macosx_10_13_x86_64.whl (4.3 MB view details)

Uploaded CPython 3.9macOS 10.13+ x86-64

tfra_nightly-0.5.0.dev20221220034310-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (6.9 MB view details)

Uploaded CPython 3.8manylinux: glibc 2.12+ x86-64

tfra_nightly-0.5.0.dev20221220034310-cp38-cp38-macosx_10_13_x86_64.whl (4.3 MB view details)

Uploaded CPython 3.8macOS 10.13+ x86-64

tfra_nightly-0.5.0.dev20221220034310-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (6.9 MB view details)

Uploaded CPython 3.7mmanylinux: glibc 2.12+ x86-64

tfra_nightly-0.5.0.dev20221220034310-cp37-cp37m-macosx_10_13_x86_64.whl (4.3 MB view details)

Uploaded CPython 3.7mmacOS 10.13+ x86-64

File details

Details for the file tfra_nightly-0.5.0.dev20221220034310-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfra_nightly-0.5.0.dev20221220034310-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 4246640fae4dc6d560dd71e2a14c3fe9bf9f1fb52fc7b75b4eaaebe8fafce25a
MD5 ba9354cb4d16c5e37d5a6b4e22809f03
BLAKE2b-256 6e4bb86fcd80649d10160f06615130732ab17efd424d2289f8c54470cbc62a5e

See more details on using hashes here.

File details

Details for the file tfra_nightly-0.5.0.dev20221220034310-cp39-cp39-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfra_nightly-0.5.0.dev20221220034310-cp39-cp39-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 a8adf4cc5aec48653c5b329f00203ef9ce8bca05d201d6a9de97ae93da107b77
MD5 ed34d187873288a22af7f9b2a462a661
BLAKE2b-256 7b91b84cf89d32d775845a5c4f207245da526b3c60f72580865da09a578fdc76

See more details on using hashes here.

File details

Details for the file tfra_nightly-0.5.0.dev20221220034310-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfra_nightly-0.5.0.dev20221220034310-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 fdc25a8f987d1e2ddedf2d6696b7143b019e1f087fd429f3eca9cee9c03dbdbc
MD5 6195be720d077d091f1310247b8910aa
BLAKE2b-256 5d73fd60e593e497bf2ac5db9fff741408c989302b41afc46885a0ef8a9b9f69

See more details on using hashes here.

File details

Details for the file tfra_nightly-0.5.0.dev20221220034310-cp38-cp38-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfra_nightly-0.5.0.dev20221220034310-cp38-cp38-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 e502e4abf9614816bcd3f686c5e8a7a5db09c7cf5dae5bbed95a8bb23806de6f
MD5 84d3f3918d163fe19c8b1ac6ecd9d351
BLAKE2b-256 7909fcc3b2f5e4227626b7e051939dc0e4987133e1bc7202c83f128a00564a46

See more details on using hashes here.

File details

Details for the file tfra_nightly-0.5.0.dev20221220034310-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfra_nightly-0.5.0.dev20221220034310-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 899e2cf587a97303c3b390e612546b55746a0dfdd704f868e5983343f8254359
MD5 01b4de9a196b0d9aa7cd8fd1127f26b5
BLAKE2b-256 4a852e6d9e2a9b652300b407130851d1d2b00a792da362b4dd28ad946046b57b

See more details on using hashes here.

File details

Details for the file tfra_nightly-0.5.0.dev20221220034310-cp37-cp37m-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfra_nightly-0.5.0.dev20221220034310-cp37-cp37m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 a15f79321846a3d03deb65191eba1db754a3e13deca10cd24489a7e3223491bd
MD5 3939d6f94e59a43b212732e3fe1fbf27
BLAKE2b-256 4f51811d27abc9c0f6a131edeb3af494ff157797923e5ce5f995fbdb613f1497

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