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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.
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Release files for tfra-nightly 0.0.1.dev20210518124354
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distributions (wheels)
| File | Reset | |||
|---|---|---|---|---|
| tfra_nightly-0.0.1.dev20210518124354-cp38-cp38-manylinux2010_x86_64.whl | CPython 3.8 | CPython 3.8 | Linux glibc 2.12+ x86-64 | Details |
| tfra_nightly-0.0.1.dev20210518124354-cp38-cp38-macosx_10_13_x86_64.whl | CPython 3.8 | CPython 3.8 | macOS 10.13+ x86-64 | Details |
| tfra_nightly-0.0.1.dev20210518124354-cp37-cp37m-manylinux2010_x86_64.whl | CPython 3.7 | CPython 3.7 pymalloc | Linux glibc 2.12+ x86-64 | Details |
| tfra_nightly-0.0.1.dev20210518124354-cp37-cp37m-macosx_10_13_x86_64.whl | CPython 3.7 | CPython 3.7 pymalloc | macOS 10.13+ x86-64 | Details |
| tfra_nightly-0.0.1.dev20210518124354-cp36-cp36m-manylinux2010_x86_64.whl | CPython 3.6 | CPython 3.6 pymalloc | Linux glibc 2.12+ x86-64 | Details |
| tfra_nightly-0.0.1.dev20210518124354-cp36-cp36m-macosx_10_13_x86_64.whl | CPython 3.6 | CPython 3.6 pymalloc | macOS 10.13+ x86-64 | Details |
Total release size: 13.3 MB
Release files / tfra_nightly-0.0.1.dev20210518124354-cp38-cp38-manylinux2010_x86_64.whl
| Download URL | tfra_nightly-0.0.1.dev20210518124354-cp38-cp38-manylinux2010_x86_64.whl |
|---|---|
| Size | 2.7 MB |
| Tags | CPython 3.8 Linux glibc 2.12+ x86-64 |
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No |
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twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.7.10
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Release files / tfra_nightly-0.0.1.dev20210518124354-cp38-cp38-macosx_10_13_x86_64.whl
| Download URL | tfra_nightly-0.0.1.dev20210518124354-cp38-cp38-macosx_10_13_x86_64.whl |
|---|---|
| Size | 1.8 MB |
| Tags | CPython 3.8 macOS 10.13+ x86-64 |
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SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.7.10
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Release files / tfra_nightly-0.0.1.dev20210518124354-cp37-cp37m-manylinux2010_x86_64.whl
| Download URL | tfra_nightly-0.0.1.dev20210518124354-cp37-cp37m-manylinux2010_x86_64.whl |
|---|---|
| Size | 2.7 MB |
| Tags | CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.12+ x86-64 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.7.10
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Release files / tfra_nightly-0.0.1.dev20210518124354-cp37-cp37m-macosx_10_13_x86_64.whl
| Download URL | tfra_nightly-0.0.1.dev20210518124354-cp37-cp37m-macosx_10_13_x86_64.whl |
|---|---|
| Size | 1.8 MB |
| Tags | CPython 3.7 CPython 3.7 pymalloc macOS 10.13+ x86-64 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.7.10
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Release files / tfra_nightly-0.0.1.dev20210518124354-cp36-cp36m-manylinux2010_x86_64.whl
| Download URL | tfra_nightly-0.0.1.dev20210518124354-cp36-cp36m-manylinux2010_x86_64.whl |
|---|---|
| Size | 2.7 MB |
| Tags | CPython 3.6 CPython 3.6 pymalloc Linux glibc 2.12+ x86-64 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.7.10
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Release files / tfra_nightly-0.0.1.dev20210518124354-cp36-cp36m-macosx_10_13_x86_64.whl
| Download URL | tfra_nightly-0.0.1.dev20210518124354-cp36-cp36m-macosx_10_13_x86_64.whl |
|---|---|
| Size | 1.8 MB |
| Tags | CPython 3.6 CPython 3.6 pymalloc macOS 10.13+ x86-64 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.7.10
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Security for tfra-nightly 0.0.1.dev20210518124354
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