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-0.4.0.dev20190614-cp36-cp36m-macosx_10_13_x86_64.whl (439.6 kB view details)

Uploaded CPython 3.6mmacOS 10.13+ x86-64

tfa_nightly-0.4.0.dev20190614-cp35-cp35m-macosx_10_13_x86_64.whl (439.6 kB view details)

Uploaded CPython 3.5mmacOS 10.13+ x86-64

tfa_nightly-0.4.0.dev20190614-cp34-cp34m-macosx_10_13_x86_64.whl (439.6 kB view details)

Uploaded CPython 3.4mmacOS 10.13+ x86-64

tfa_nightly-0.4.0.dev20190614-cp27-cp27mu-manylinux1_x86_64.whl (547.0 kB view details)

Uploaded CPython 2.7mu

tfa_nightly-0.4.0.dev20190614-cp27-cp27m-macosx_10_13_x86_64.whl (439.6 kB view details)

Uploaded CPython 2.7mmacOS 10.13+ x86-64

File details

Details for the file tfa_nightly-0.4.0.dev20190614-cp36-cp36m-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.4.0.dev20190614-cp36-cp36m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 428e3542768083f34095feb843c96ba72ab2b64ee28d949ddc0b7a04d6db99f0
MD5 8f1d6fae6f3be7d6830bb2615bd10598
BLAKE2b-256 55d8ebc3b0383cf7dab94e947325fae6c8e74b4cdf0e3bca26de7c68fd544785

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.4.0.dev20190614-cp36-cp36m-macosx_10_13_x86_64.whl.

File metadata

  • Download URL: tfa_nightly-0.4.0.dev20190614-cp36-cp36m-macosx_10_13_x86_64.whl
  • Upload date:
  • Size: 439.6 kB
  • Tags: CPython 3.6m, macOS 10.13+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/2.7.15

File hashes

Hashes for tfa_nightly-0.4.0.dev20190614-cp36-cp36m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 e548a9d4e3f2613b969d5b2eb70d99c27ef004489b49aee8f60c1426e47ed7af
MD5 997d88fd82b06505393fb741b9ca8acc
BLAKE2b-256 e8b9b47f64ffb2f9e5dd8ec89aaa306f429b717b5afa88f10d3919124ea69551

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.4.0.dev20190614-cp35-cp35m-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.4.0.dev20190614-cp35-cp35m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 e7a90e2f616666d3f641b8d36f057e84d0d0d6ed23fbee969460ddbc243ee8d4
MD5 afb0f56ce03b47e292ce83520f8d118b
BLAKE2b-256 d36ae9dcd76d52189d8f525f6153ee29a1428e9cd1a5950708db41a6ada733fa

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.4.0.dev20190614-cp35-cp35m-macosx_10_13_x86_64.whl.

File metadata

  • Download URL: tfa_nightly-0.4.0.dev20190614-cp35-cp35m-macosx_10_13_x86_64.whl
  • Upload date:
  • Size: 439.6 kB
  • Tags: CPython 3.5m, macOS 10.13+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/2.7.15

File hashes

Hashes for tfa_nightly-0.4.0.dev20190614-cp35-cp35m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 f183ec7a4a389454e912b64b68115c8b8bd043e9901d25e174c663c6124d603f
MD5 94ad02229f27247e000f8b6ef3315b6d
BLAKE2b-256 87e2aa5852e22513bb4ddf2c4ef64a9d8a7b9f035c23dee37f841ceda58176a8

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.4.0.dev20190614-cp34-cp34m-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.4.0.dev20190614-cp34-cp34m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 1fdce8a0b1a398b4015ff82e1b3e977f71705f3f8749f43c65a9d391054e89e0
MD5 037866a067f15408ec410962e96f0cf8
BLAKE2b-256 44985be55155adcb051abb30ef1b959a3237191787ccff1db579e663ce0b66eb

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.4.0.dev20190614-cp34-cp34m-macosx_10_13_x86_64.whl.

File metadata

  • Download URL: tfa_nightly-0.4.0.dev20190614-cp34-cp34m-macosx_10_13_x86_64.whl
  • Upload date:
  • Size: 439.6 kB
  • Tags: CPython 3.4m, macOS 10.13+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/2.7.15

File hashes

Hashes for tfa_nightly-0.4.0.dev20190614-cp34-cp34m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 6f704815606ca5d46767bdf1c55592b30b2db76aec359dcd553527ec53329b18
MD5 cc12cdf80e15e7ccbffdcae299ff5c21
BLAKE2b-256 d67fd53a5aa583b6384be076ee07a30d44fdfd461cd63f0562c061678941ea32

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.4.0.dev20190614-cp27-cp27mu-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.4.0.dev20190614-cp27-cp27mu-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 3172ad6ae556cba985492b8a2819c4a62e41f97ba04c87f81dae1a474674da7f
MD5 6d813bfe3f6bfedc4f780ced4855cec0
BLAKE2b-256 8c756fd341a90df1ca88c973a71bc8b9c5fb390887e21308bb5f47748bca7b56

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.4.0.dev20190614-cp27-cp27m-macosx_10_13_x86_64.whl.

File metadata

  • Download URL: tfa_nightly-0.4.0.dev20190614-cp27-cp27m-macosx_10_13_x86_64.whl
  • Upload date:
  • Size: 439.6 kB
  • Tags: CPython 2.7m, macOS 10.13+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/2.7.15

File hashes

Hashes for tfa_nightly-0.4.0.dev20190614-cp27-cp27m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 e01af4b19b7120c344621a506b200b2256010370cf4ae28dfd3ae6cdef3beaa9
MD5 9e3af27b58c09e9161884a91b00abee1
BLAKE2b-256 3dbab733dffef44820afd8c509edafcbc1002cb25eb31fce2bfeca9fc991f542

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