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-0.6.0.dev20230526101115-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (6.6 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.12+ x86-64

tfra_nightly-0.6.0.dev20230526101115-cp39-cp39-macosx_10_13_x86_64.whl (4.1 MB view details)

Uploaded CPython 3.9macOS 10.13+ x86-64

tfra_nightly-0.6.0.dev20230526101115-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (6.6 MB view details)

Uploaded CPython 3.8manylinux: glibc 2.12+ x86-64

tfra_nightly-0.6.0.dev20230526101115-cp38-cp38-macosx_10_13_x86_64.whl (4.1 MB view details)

Uploaded CPython 3.8macOS 10.13+ x86-64

tfra_nightly-0.6.0.dev20230526101115-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (6.6 MB view details)

Uploaded CPython 3.7mmanylinux: glibc 2.12+ x86-64

tfra_nightly-0.6.0.dev20230526101115-cp37-cp37m-macosx_10_13_x86_64.whl (4.1 MB view details)

Uploaded CPython 3.7mmacOS 10.13+ x86-64

File details

Details for the file tfra_nightly-0.6.0.dev20230526101115-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfra_nightly-0.6.0.dev20230526101115-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 c51c378eb5bdc126d8ee00048127f10b40a0a53a7a084a2d53baa23c3e61538a
MD5 05b5b06b9da80fe505cc5f475d6465c1
BLAKE2b-256 bffbeb43e5a565035c3989092d45a25fe152282d5248a2d7b655626a39bbc012

See more details on using hashes here.

File details

Details for the file tfra_nightly-0.6.0.dev20230526101115-cp39-cp39-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfra_nightly-0.6.0.dev20230526101115-cp39-cp39-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 3beceb06f8388d292eb9f2aa24b308ffa7a947aad313cddebb3d19d112ba60db
MD5 b75539f46a7e686d78173926618407ed
BLAKE2b-256 5638d5eb655ce85c0eec1c6e3614f957ddce1ae6900c0d8eba9e7de0714fcbf7

See more details on using hashes here.

File details

Details for the file tfra_nightly-0.6.0.dev20230526101115-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfra_nightly-0.6.0.dev20230526101115-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 fa4dbe8c551bdbe12d89bd9a9953e6477c6eed6a267d0810b9f6b29060cf476a
MD5 76b20a845f648c4eb67c8b8497f5abda
BLAKE2b-256 1676128f80b6df0e03473648eae4db5e65d2d8158b1ac610b5320d1f3df533bf

See more details on using hashes here.

File details

Details for the file tfra_nightly-0.6.0.dev20230526101115-cp38-cp38-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfra_nightly-0.6.0.dev20230526101115-cp38-cp38-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 2e85eac1b6c6cb1ecd6a8e01f3fa53eb29a0ec46519714461e7acb96a8eac9f3
MD5 29917fd11d8ef84d911ccaf36aeab660
BLAKE2b-256 637b607b2debd680c6b1cd6abe0f38b8a10b94bc6b2fe205605e8db41da97c30

See more details on using hashes here.

File details

Details for the file tfra_nightly-0.6.0.dev20230526101115-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfra_nightly-0.6.0.dev20230526101115-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 cc852950b710273519b787c7df5973e8233d05c099634dbbc65d71489d0de4ca
MD5 d9481a9e392eda6da8231c497bac905f
BLAKE2b-256 fac1933ffbe2ad9d4c646b45c06740f6b0f599ff9f6ce911ea70b881bf55eefb

See more details on using hashes here.

File details

Details for the file tfra_nightly-0.6.0.dev20230526101115-cp37-cp37m-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfra_nightly-0.6.0.dev20230526101115-cp37-cp37m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 c3f128621435a7394ff195225d0ae6259514ff6d59e42569c68f444a2eb8c5c5
MD5 b5e97285426d762def769fc399fbcf24
BLAKE2b-256 acd8034abbc138e2cdf574d60e3a511fb031a3146df17b3e73cf8f593a54a1cc

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