TensorFlow Addons.
Project description
TensorFlow Addons is a repository of contributions that conform to well- established API patterns, but implement new functionality not available in core TensorFlow. TensorFlow natively supports a large number of operators, layers, metrics, losses, and optimizers. However, in a fast moving field like ML, there are many interesting new developments that cannot be integrated into core TensorFlow (because their broad applicability is not yet clear, or it is mostly used by a smaller subset of the community).
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 tfa_nightly-0.17.0.dev20220413093826-cp310-cp310-win_amd64.whl.
File metadata
- Download URL: tfa_nightly-0.17.0.dev20220413093826-cp310-cp310-win_amd64.whl
- Upload date:
- Size: 759.1 kB
- Tags: CPython 3.10, Windows x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.0 CPython/3.7.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
10f44592c728887343279dd92b7ee5af91a890d7d6cdbe317f9294a865ecb562
|
|
| MD5 |
60db92c62af1b93fad89d9774a140ac6
|
|
| BLAKE2b-256 |
a8ffd0fc65fca8b3ba91cfde879f08fdb6b213bde127587fe3a0c8990b4b530a
|
File details
Details for the file tfa_nightly-0.17.0.dev20220413093826-cp310-cp310-manylinux_2_12_x86_64.manylinux2010_x86_64.whl.
File metadata
- Download URL: tfa_nightly-0.17.0.dev20220413093826-cp310-cp310-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
- Upload date:
- Size: 1.1 MB
- Tags: CPython 3.10, manylinux: glibc 2.12+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.0 CPython/3.7.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
610fa43035283fde91186a1b56f1a3f0f2d03db7820c5a203706086d838e2f5e
|
|
| MD5 |
d4319c503080b8079b7085597887377f
|
|
| BLAKE2b-256 |
ba0a327b145a0e3ad8a81fb87c540052bd407ef6b845a4ce3cabae7eed907a58
|
File details
Details for the file tfa_nightly-0.17.0.dev20220413093826-cp310-cp310-macosx_10_15_x86_64.whl.
File metadata
- Download URL: tfa_nightly-0.17.0.dev20220413093826-cp310-cp310-macosx_10_15_x86_64.whl
- Upload date:
- Size: 591.6 kB
- Tags: CPython 3.10, macOS 10.15+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.0 CPython/3.7.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
f9230bde67722e402e95123e52e96072f659d359e83d7c556f0e341f906d9eb4
|
|
| MD5 |
63518856c0ea2cb3f824943a078f43ca
|
|
| BLAKE2b-256 |
4c4180b148f28f3a8a9e603c6ecc807f067f6cb4c4b48f8857276dae5a3b76bf
|
File details
Details for the file tfa_nightly-0.17.0.dev20220413093826-cp39-cp39-win_amd64.whl.
File metadata
- Download URL: tfa_nightly-0.17.0.dev20220413093826-cp39-cp39-win_amd64.whl
- Upload date:
- Size: 759.1 kB
- Tags: CPython 3.9, Windows x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.0 CPython/3.7.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
18bc62155a92575ed8f2fe55bb99fda889e1352804098c5ff5f066a3a76bc9b3
|
|
| MD5 |
b42218a5ba18f53a623711f671559829
|
|
| BLAKE2b-256 |
c620e493c6eb0f7ebd98f7945e08b608c165f5e35abf38f566be8f8106058cd4
|
File details
Details for the file tfa_nightly-0.17.0.dev20220413093826-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl.
File metadata
- Download URL: tfa_nightly-0.17.0.dev20220413093826-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
- Upload date:
- Size: 1.1 MB
- Tags: CPython 3.9, manylinux: glibc 2.12+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.0 CPython/3.7.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
6053251e93127ad4f023c53ba12ac2a979cb8da70193c699f6015dcb5bc8aa0b
|
|
| MD5 |
1364e2754d5dbcd2472f70a1528a2e9a
|
|
| BLAKE2b-256 |
c07a45f5d1542217f1416f351bf5f0ea375cc288880e376197838bfc1c9df138
|
File details
Details for the file tfa_nightly-0.17.0.dev20220413093826-cp39-cp39-macosx_11_0_arm64.whl.
File metadata
- Download URL: tfa_nightly-0.17.0.dev20220413093826-cp39-cp39-macosx_11_0_arm64.whl
- Upload date:
- Size: 548.5 kB
- Tags: CPython 3.9, macOS 11.0+ ARM64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.0 CPython/3.7.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
9a6792a840e6bec622aa4b2dcc54ef7ba0c6ca9c821b4174fdb4e885e8efdd43
|
|
| MD5 |
a9d15d4e7bafddb62ce69fc8f4000d47
|
|
| BLAKE2b-256 |
81e4b4999d148b14bfb87a59ceac6010fa62f329910d65a5746edca105c6eeea
|
File details
Details for the file tfa_nightly-0.17.0.dev20220413093826-cp39-cp39-macosx_10_15_x86_64.whl.
File metadata
- Download URL: tfa_nightly-0.17.0.dev20220413093826-cp39-cp39-macosx_10_15_x86_64.whl
- Upload date:
- Size: 591.6 kB
- Tags: CPython 3.9, macOS 10.15+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.0 CPython/3.7.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
27117a4f2b76e7870aae73f4e5d09d2ff36ad6caac8716badcdd6ecdd7b999ad
|
|
| MD5 |
fee239bfa70245d25178e0300b3a681c
|
|
| BLAKE2b-256 |
95b0a4be5829804f97eb3fbe2b86b7429db006814c2271fe0de1225570f28a48
|
File details
Details for the file tfa_nightly-0.17.0.dev20220413093826-cp38-cp38-win_amd64.whl.
File metadata
- Download URL: tfa_nightly-0.17.0.dev20220413093826-cp38-cp38-win_amd64.whl
- Upload date:
- Size: 759.1 kB
- Tags: CPython 3.8, Windows x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.0 CPython/3.7.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
6c393521e4676c084dbf83a15ce99899b903246b22a18a1c0e83c46fab803802
|
|
| MD5 |
725b81f9d8b0929f95d1962fd0f9ef4e
|
|
| BLAKE2b-256 |
14abd14ada97c05df9335586a26e00ed81cc77fcc2db35b1b92be2dceaffd01d
|
File details
Details for the file tfa_nightly-0.17.0.dev20220413093826-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl.
File metadata
- Download URL: tfa_nightly-0.17.0.dev20220413093826-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
- Upload date:
- Size: 1.1 MB
- Tags: CPython 3.8, manylinux: glibc 2.12+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.0 CPython/3.7.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
d62cd37a5231f89eabfea6ede309c3db10cac9456b58397bd409a5369f8e0ec3
|
|
| MD5 |
fb92f11c8095c4b57c30251f54984812
|
|
| BLAKE2b-256 |
7188abe621a132d7bbe0c255f675d6dea4cd6aabe95d97001925a0ae7eb6eb2b
|
File details
Details for the file tfa_nightly-0.17.0.dev20220413093826-cp38-cp38-macosx_11_0_arm64.whl.
File metadata
- Download URL: tfa_nightly-0.17.0.dev20220413093826-cp38-cp38-macosx_11_0_arm64.whl
- Upload date:
- Size: 548.5 kB
- Tags: CPython 3.8, macOS 11.0+ ARM64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.0 CPython/3.7.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
d688f780cf3ff3532d2ba3023b74649f47896d86879497bfaa1183a9b207ef8d
|
|
| MD5 |
19fd082a2428c6a29c7e89040d4be1dd
|
|
| BLAKE2b-256 |
2f37657e3e63b305c1589e6e00d6df0d7a1d4f1570e6e5c2aca6370a86936c45
|
File details
Details for the file tfa_nightly-0.17.0.dev20220413093826-cp38-cp38-macosx_10_15_x86_64.whl.
File metadata
- Download URL: tfa_nightly-0.17.0.dev20220413093826-cp38-cp38-macosx_10_15_x86_64.whl
- Upload date:
- Size: 591.5 kB
- Tags: CPython 3.8, macOS 10.15+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.0 CPython/3.7.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
5b70af4af3bc9727d043d205ee42f9788ea2207123bf8ff0dd50244472c19fb5
|
|
| MD5 |
ac8b401e8f0ed9a89e097e7916d75756
|
|
| BLAKE2b-256 |
bff7b0cb61f79c5804ffdc41ae81c83e791ab5f30d639ca20567c6800b29f8f3
|
File details
Details for the file tfa_nightly-0.17.0.dev20220413093826-cp37-cp37m-win_amd64.whl.
File metadata
- Download URL: tfa_nightly-0.17.0.dev20220413093826-cp37-cp37m-win_amd64.whl
- Upload date:
- Size: 759.1 kB
- Tags: CPython 3.7m, Windows x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.0 CPython/3.7.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
393b361ba077d285fb5d5bab8d91f5754ca283ae132a57d922ef7463f3ac371a
|
|
| MD5 |
a199bd6e1f4c4f080a4b6d96d881f57c
|
|
| BLAKE2b-256 |
ddf13d3266b373576c2fd73dbca657d662bb737fae5f9f3e0087dba8e494b93e
|
File details
Details for the file tfa_nightly-0.17.0.dev20220413093826-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl.
File metadata
- Download URL: tfa_nightly-0.17.0.dev20220413093826-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
- Upload date:
- Size: 1.1 MB
- Tags: CPython 3.7m, manylinux: glibc 2.12+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.0 CPython/3.7.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
3eb7e68191cbb4c7c5fb83f3ab940d1ccfc8f69b936518467ee6e9b2001220d7
|
|
| MD5 |
5b6ee793974af76d3ecef6e7e9af2ad0
|
|
| BLAKE2b-256 |
a3a286a12f93e854b14231bfe63db1b9b2d2c8a3798d3865ac1a37bb070a1d40
|
File details
Details for the file tfa_nightly-0.17.0.dev20220413093826-cp37-cp37m-macosx_10_15_x86_64.whl.
File metadata
- Download URL: tfa_nightly-0.17.0.dev20220413093826-cp37-cp37m-macosx_10_15_x86_64.whl
- Upload date:
- Size: 591.5 kB
- Tags: CPython 3.7m, macOS 10.15+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.0 CPython/3.7.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
6d0c81f965e1ef2f0ba85e1f96e68af044cfa31ef0623856e0d890b307ea7afa
|
|
| MD5 |
b329042e7bd76c2c4d22022162d62f49
|
|
| BLAKE2b-256 |
988dab0934f8c357d5ce759b4d0e5c496f972bd627a71bb5801bf8044bf9b411
|
