Skip to main content

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).

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.

tfa_nightly-0.12.0.dev20201020175952-cp38-cp38-manylinux2010_x86_64.whl (1.1 MB view details)

Uploaded CPython 3.8manylinux: glibc 2.12+ x86-64

tfa_nightly-0.12.0.dev20201020175952-cp38-cp38-macosx_10_13_x86_64.whl (629.5 kB view details)

Uploaded CPython 3.8macOS 10.13+ x86-64

tfa_nightly-0.12.0.dev20201020175952-cp37-cp37m-manylinux2010_x86_64.whl (1.1 MB view details)

Uploaded CPython 3.7mmanylinux: glibc 2.12+ x86-64

tfa_nightly-0.12.0.dev20201020175952-cp37-cp37m-macosx_10_13_x86_64.whl (629.5 kB view details)

Uploaded CPython 3.7mmacOS 10.13+ x86-64

tfa_nightly-0.12.0.dev20201020175952-cp36-cp36m-manylinux2010_x86_64.whl (1.1 MB view details)

Uploaded CPython 3.6mmanylinux: glibc 2.12+ x86-64

tfa_nightly-0.12.0.dev20201020175952-cp36-cp36m-macosx_10_13_x86_64.whl (629.5 kB view details)

Uploaded CPython 3.6mmacOS 10.13+ x86-64

File details

Details for the file tfa_nightly-0.12.0.dev20201020175952-cp38-cp38-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.12.0.dev20201020175952-cp38-cp38-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 8ff5b8c3f6b67d3a0b0356f8e7668bd2b69f7c0ad7f76a3e018c655d1b0899ba
MD5 5ca4114882c652bdecb3eebd60edf6e5
BLAKE2b-256 d98408578590a5d5e2fdaab33ba47ee59a8f2b750f82bc228338193eefb9a18d

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.12.0.dev20201020175952-cp38-cp38-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.12.0.dev20201020175952-cp38-cp38-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 20e2f4f321aa0d086b2f5def82bacf722556cfe60f0b6f6d5dede3149abc6890
MD5 231c0cbbbfb5a12e85fe2f6f4e2b41d4
BLAKE2b-256 c6c4dce19fde3d0f8a916ab11584f2f96e2db7edaedb210e052855e3e2e042c6

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.12.0.dev20201020175952-cp37-cp37m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.12.0.dev20201020175952-cp37-cp37m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 c29fc202c94ab2a2605fc42f125fd2e0b24c487e944e1f3cb994ec56afb7bdaa
MD5 6822e0501f14d30e6500a75b8604f21d
BLAKE2b-256 bacec50bdad08a20bc419c07ebdcb12e57b0fe9fb60212449fc412aaa1a5d797

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.12.0.dev20201020175952-cp37-cp37m-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.12.0.dev20201020175952-cp37-cp37m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 1e8757926afc9f914a554d3ee2ae6f0f463d459d4e2e3fb82b33d40b4ef34033
MD5 ba9a294a8b7dd34ef64f59161f58fb0b
BLAKE2b-256 96ea7c529eee600320709e3346784dae2f7987625f931a88ea5744c49ace5bac

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.12.0.dev20201020175952-cp36-cp36m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.12.0.dev20201020175952-cp36-cp36m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 3dd2573ebf6d4950cf3698208d2b53b63c035d342fac0c8571c1d7ef95c9024f
MD5 7991e7cccce05ccdb88fc3f07176e7a1
BLAKE2b-256 322d53705a56fd0e6ca6d4a84f40d858f2343f430e72481bf31d64d33f2bb9a3

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.12.0.dev20201020175952-cp36-cp36m-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.12.0.dev20201020175952-cp36-cp36m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 7e241519d596926b271322f31ddbaf058a6303312c173815e5603f05d6834d08
MD5 ef1999ba2ae951df01573c0506faea5c
BLAKE2b-256 22e3ad38949ce609e61a127edcf1497249026ac6754d79b96758a76036985e5e

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