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.
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
File details
Details for the file tfra_nightly-0.3.0.dev20220214141030-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl.
File metadata
- Download URL: tfra_nightly-0.3.0.dev20220214141030-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
- Upload date:
- Size: 6.1 MB
- Tags: CPython 3.9, manylinux: glibc 2.12+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.7.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | b8fd3f8112b0984d4a91f1632c78d39562881671f604530a849c458fff7c617b |
|
| MD5 | 4ccae981612bb3a9c7e07aaaf68feb9f |
|
| BLAKE2b-256 | 7ed7051c421ee8256bf173ea559423f9fe1ff2a9ff7da6aeb532ae972e191182 |
File details
Details for the file tfra_nightly-0.3.0.dev20220214141030-cp39-cp39-macosx_10_13_x86_64.whl.
File metadata
- Download URL: tfra_nightly-0.3.0.dev20220214141030-cp39-cp39-macosx_10_13_x86_64.whl
- Upload date:
- Size: 3.7 MB
- Tags: CPython 3.9, macOS 10.13+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.7.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 675cb986deca64a29e94e064aacba139eaaf78f6b85fa6ad1e00e737745d12aa |
|
| MD5 | ea9f28257c6327ad96044bc440fdebb9 |
|
| BLAKE2b-256 | 4b024a25ab6b72c13d973527659cd05279284ca269e6fe018aa563c18940c5bf |
File details
Details for the file tfra_nightly-0.3.0.dev20220214141030-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl.
File metadata
- Download URL: tfra_nightly-0.3.0.dev20220214141030-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
- Upload date:
- Size: 6.1 MB
- Tags: CPython 3.8, manylinux: glibc 2.12+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.7.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 5b6638f30f0362657e838516616a98c1b9a87ee6992a6e94bb31c882e241ca92 |
|
| MD5 | 960b6f08a688489cc004c691294f2727 |
|
| BLAKE2b-256 | 363e2fed51eb495deb77c339a4aedf87afecab387b0e186a923c6baaba1922eb |
File details
Details for the file tfra_nightly-0.3.0.dev20220214141030-cp38-cp38-macosx_10_13_x86_64.whl.
File metadata
- Download URL: tfra_nightly-0.3.0.dev20220214141030-cp38-cp38-macosx_10_13_x86_64.whl
- Upload date:
- Size: 3.7 MB
- Tags: CPython 3.8, macOS 10.13+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.7.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 92a9c0e4b98288c6482b7bbccd567b6e565150af50ca2a0c11c7ddbc63228e85 |
|
| MD5 | a24fbe4043b24f9dd22a3db15d5b3b0d |
|
| BLAKE2b-256 | 46479f65b782bb418ea752843a77d6d2cd73a68855ffacfd984ad4f312c75a89 |
File details
Details for the file tfra_nightly-0.3.0.dev20220214141030-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl.
File metadata
- Download URL: tfra_nightly-0.3.0.dev20220214141030-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
- Upload date:
- Size: 6.1 MB
- Tags: CPython 3.7m, manylinux: glibc 2.12+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.7.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 2287bf29e222623793800599acd9f3b60a3037003815fe030d453ca28d8adb3c |
|
| MD5 | f5c42e11e5a57e21f3f6c7b172aee441 |
|
| BLAKE2b-256 | 75515ca7fb34376ae1caa90676dcd7c240feba7647ce71022a8b3082a8b48e92 |
File details
Details for the file tfra_nightly-0.3.0.dev20220214141030-cp37-cp37m-macosx_10_13_x86_64.whl.
File metadata
- Download URL: tfra_nightly-0.3.0.dev20220214141030-cp37-cp37m-macosx_10_13_x86_64.whl
- Upload date:
- Size: 3.7 MB
- Tags: CPython 3.7m, macOS 10.13+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.7.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 9ffa1866a01afcde453969c76a337feb22c9a46eda32171d9452ba2aa4c9f283 |
|
| MD5 | 6702fa83eda244d6bdda412f7a47e037 |
|
| BLAKE2b-256 | 9cb86c826344ffead103cec0bb1397ef1451d8a1a6b50ace70e91fab6090db1b |
