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-0.2.0.dev20210803041618-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (2.9 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.12+ x86-64

tfra_nightly-0.2.0.dev20210803041618-cp38-cp38-macosx_10_13_x86_64.whl (2.1 MB view details)

Uploaded CPython 3.8 macOS 10.13+ x86-64

tfra_nightly-0.2.0.dev20210803041618-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (2.9 MB view details)

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

tfra_nightly-0.2.0.dev20210803041618-cp37-cp37m-macosx_10_13_x86_64.whl (2.1 MB view details)

Uploaded CPython 3.7m macOS 10.13+ x86-64

tfra_nightly-0.2.0.dev20210803041618-cp36-cp36m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (2.9 MB view details)

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

tfra_nightly-0.2.0.dev20210803041618-cp36-cp36m-macosx_10_13_x86_64.whl (2.1 MB view details)

Uploaded CPython 3.6m macOS 10.13+ x86-64

File details

Details for the file tfra_nightly-0.2.0.dev20210803041618-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfra_nightly-0.2.0.dev20210803041618-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 a706b93c41d00cadfde7b06615bb100d8321832b93661ec7316f404c4a262eeb
MD5 4359d19250ae6b949517b97bc183c4c1
BLAKE2b-256 b804bbceea27018ec5dbe32107fada3db2d72ae1375073331ac6706b23bf53f9

See more details on using hashes here.

File details

Details for the file tfra_nightly-0.2.0.dev20210803041618-cp38-cp38-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfra_nightly-0.2.0.dev20210803041618-cp38-cp38-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 830e9f72ebb97ba51078c1bb1c94c9df1d86840be16f2be4ff224479d8864859
MD5 e75792100b44bb0be231e3c2bfb9e632
BLAKE2b-256 7f5944b0fdc9b1795b166ca9cffed1c0197a707b02935be6ac21b95d354ebd5e

See more details on using hashes here.

File details

Details for the file tfra_nightly-0.2.0.dev20210803041618-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfra_nightly-0.2.0.dev20210803041618-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 308e77939415dc85b6e774b4b8774b2d351e824ca3f5bc8e97c85eaff0a6f3ae
MD5 30dd7477d94acee662322a166d031593
BLAKE2b-256 732d2de8eb7804ad86fabc298cd22163c6aa5de5db604eac9fab43d7a476b4e5

See more details on using hashes here.

File details

Details for the file tfra_nightly-0.2.0.dev20210803041618-cp37-cp37m-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfra_nightly-0.2.0.dev20210803041618-cp37-cp37m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 64231eb1ae57f6f54eddd726e37e217bf5929754115859340a403749dfa783c0
MD5 957f1baa6ccdbe9af25544630d99a77c
BLAKE2b-256 2bdf38d606accf5fc96cecc9d3a1a2ea5c4b6c07123b116a122204c175481eb1

See more details on using hashes here.

File details

Details for the file tfra_nightly-0.2.0.dev20210803041618-cp36-cp36m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfra_nightly-0.2.0.dev20210803041618-cp36-cp36m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 82b8cffc84b049188b0e5282955d080bd725c7b89dd6c6ff1b5c979ff760aea6
MD5 f182fc5cdbb6a131d6bcd4818caad776
BLAKE2b-256 0aaf14aaa4cc0e3bf68d225800c866ba48186686afc611e18a66f99305fb64bd

See more details on using hashes here.

File details

Details for the file tfra_nightly-0.2.0.dev20210803041618-cp36-cp36m-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfra_nightly-0.2.0.dev20210803041618-cp36-cp36m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 b1c647e9162d933bdca3dd42b124ddb5f99014657b2a905f599678357b14a8f1
MD5 c933fcf2eb64e633bfb57a884cdf3946
BLAKE2b-256 b6bc9becc309a7dfa6a5859fd1e205abdb9ac4a53ea78b9856a048137d751e59

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