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
Built Distributions
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file tfra_nightly-0.4.0.dev20220722125051-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl.
File metadata
- Download URL: tfra_nightly-0.4.0.dev20220722125051-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
- Upload date:
- Size: 7.1 MB
- Tags: CPython 3.9, manylinux: glibc 2.12+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.7.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
3f326044c956ffc22fec16debf7ac1c28ae64aadf61e7f38f92a8fb641ad7ec7
|
|
| MD5 |
101a62c45f24d029e2e9039ec3e659b6
|
|
| BLAKE2b-256 |
38bf65a5ef06bbc3a3bd686e6f6ba530d4b61666899e76fc47b8e269c453d55c
|
File details
Details for the file tfra_nightly-0.4.0.dev20220722125051-cp39-cp39-macosx_10_13_x86_64.whl.
File metadata
- Download URL: tfra_nightly-0.4.0.dev20220722125051-cp39-cp39-macosx_10_13_x86_64.whl
- Upload date:
- Size: 4.5 MB
- Tags: CPython 3.9, macOS 10.13+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.7.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
7adc1b8c443db16427584a8aa50e4ba6dbc9c81affe06d7aa048711c583f8004
|
|
| MD5 |
0cef1f85690aaef5bbe9e4e3a151c915
|
|
| BLAKE2b-256 |
801ee7ed9c63a15e62a82be90aa4e92695eaee69fc3c7c4409786a4d79c9c34f
|
File details
Details for the file tfra_nightly-0.4.0.dev20220722125051-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl.
File metadata
- Download URL: tfra_nightly-0.4.0.dev20220722125051-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
- Upload date:
- Size: 7.1 MB
- Tags: CPython 3.8, manylinux: glibc 2.12+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.7.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
6f07a60a67d914a65225d12d1339fbf4f61947218b61fd043f371e60cbd990d0
|
|
| MD5 |
71f58d5d17a1ab1edc80af7dfd601639
|
|
| BLAKE2b-256 |
2cf33655d29ab7092f94a86a03fc7da7c050f9ec1bc880e6852b3fcfde1cae36
|
File details
Details for the file tfra_nightly-0.4.0.dev20220722125051-cp38-cp38-macosx_10_13_x86_64.whl.
File metadata
- Download URL: tfra_nightly-0.4.0.dev20220722125051-cp38-cp38-macosx_10_13_x86_64.whl
- Upload date:
- Size: 4.5 MB
- Tags: CPython 3.8, macOS 10.13+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.7.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
6ec96669c70ac61313405c12b56e28375f39626103f18580b1c7a38829e2f5e5
|
|
| MD5 |
46a5ea4fc1ba9c4c81daaeabef3adb54
|
|
| BLAKE2b-256 |
e8f4f9a67e9a6906befb040d77e9e043036ea5dc2c46df3ebe2cd17ec40f9509
|
File details
Details for the file tfra_nightly-0.4.0.dev20220722125051-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl.
File metadata
- Download URL: tfra_nightly-0.4.0.dev20220722125051-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
- Upload date:
- Size: 7.1 MB
- Tags: CPython 3.7m, manylinux: glibc 2.12+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.7.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
230dc6510af99669877f0d7dd4a5255982fdc40116230d6123448e0977bacfdd
|
|
| MD5 |
6d2ee399d2eeabb4b9a8c912ef63eebb
|
|
| BLAKE2b-256 |
fe8969bd6ed6d0deffbda3c51bc56cfca6c3dd1cb1f983bdac0ec93a29ac8842
|
File details
Details for the file tfra_nightly-0.4.0.dev20220722125051-cp37-cp37m-macosx_10_13_x86_64.whl.
File metadata
- Download URL: tfra_nightly-0.4.0.dev20220722125051-cp37-cp37m-macosx_10_13_x86_64.whl
- Upload date:
- Size: 4.5 MB
- Tags: CPython 3.7m, macOS 10.13+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.7.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
d5914560f770e9c458fdfcd8d22505b71ebe961376c1393fe03a7fb8bbd10b77
|
|
| MD5 |
72004be4b2e264135b01c11962a1e63c
|
|
| BLAKE2b-256 |
fec326a420b849130554feb487ae936d61504b558fe6ff2f6df131b115b4493b
|
