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-0.10.0.dev20200415221914-cp37-cp37m-win_amd64.whl (872.5 kB view details)

Uploaded CPython 3.7mWindows x86-64

tfa_nightly-0.10.0.dev20200415221914-cp37-cp37m-manylinux2010_x86_64.whl (1.0 MB view details)

Uploaded CPython 3.7mmanylinux: glibc 2.12+ x86-64

tfa_nightly-0.10.0.dev20200415221914-cp37-cp37m-macosx_10_13_x86_64.whl (575.6 kB view details)

Uploaded CPython 3.7mmacOS 10.13+ x86-64

tfa_nightly-0.10.0.dev20200415221914-cp36-cp36m-win_amd64.whl (872.5 kB view details)

Uploaded CPython 3.6mWindows x86-64

tfa_nightly-0.10.0.dev20200415221914-cp36-cp36m-manylinux2010_x86_64.whl (1.0 MB view details)

Uploaded CPython 3.6mmanylinux: glibc 2.12+ x86-64

tfa_nightly-0.10.0.dev20200415221914-cp36-cp36m-macosx_10_13_x86_64.whl (575.6 kB view details)

Uploaded CPython 3.6mmacOS 10.13+ x86-64

tfa_nightly-0.10.0.dev20200415221914-cp35-cp35m-win_amd64.whl (872.5 kB view details)

Uploaded CPython 3.5mWindows x86-64

tfa_nightly-0.10.0.dev20200415221914-cp35-cp35m-manylinux2010_x86_64.whl (1.0 MB view details)

Uploaded CPython 3.5mmanylinux: glibc 2.12+ x86-64

tfa_nightly-0.10.0.dev20200415221914-cp35-cp35m-macosx_10_13_x86_64.whl (575.6 kB view details)

Uploaded CPython 3.5mmacOS 10.13+ x86-64

File details

Details for the file tfa_nightly-0.10.0.dev20200415221914-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.10.0.dev20200415221914-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 872.5 kB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.1.3 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.7.7

File hashes

Hashes for tfa_nightly-0.10.0.dev20200415221914-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 183fc36190fbc9361ad19750de931601278a1a505dbcb3e5da69bee4a836d971
MD5 843de058548da0a2010649eb39978722
BLAKE2b-256 96a19c7dfc4a29c1758c20822b675d5bb214d17ed1b90769fdb6439d52073583

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.10.0.dev20200415221914-cp37-cp37m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.10.0.dev20200415221914-cp37-cp37m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 37b9038e64449ac0ff153767f349c1c23aff9da4c029e26e325f70f9eca09b2f
MD5 2b9515a2597f368e237713f453a7e5f6
BLAKE2b-256 e488f31d86cb3e2740563b02468afc29abe4625bc071d10386de36ba439fc82e

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.10.0.dev20200415221914-cp37-cp37m-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.10.0.dev20200415221914-cp37-cp37m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 e3ca9704d92f53226ddf50535cac494928984d4871ce106208c0e0210d8cd2b4
MD5 eda574c6ba5a48216b1da5e3fd92b258
BLAKE2b-256 bf773618c76de1cd5dd61f2beedcb24c8bf4994284792bc2f295f1ac7757aa19

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.10.0.dev20200415221914-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.10.0.dev20200415221914-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 872.5 kB
  • Tags: CPython 3.6m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.1.3 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.7.7

File hashes

Hashes for tfa_nightly-0.10.0.dev20200415221914-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 3f0587922caf319f7b38dd8ad8de04e0d281e86d290779f410165731eb13c6be
MD5 e55aae4f8a810d324fe9703303f23960
BLAKE2b-256 cef58f40178be11503d1aa26319e032256d1c10e65f896561baae3f5ca7b0370

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.10.0.dev20200415221914-cp36-cp36m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.10.0.dev20200415221914-cp36-cp36m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 93a4c217ccce29d30ec64090eeecdd11100105beddad435c0bf8ffe17e951d0a
MD5 85a03edeb848d516411be5eedf839432
BLAKE2b-256 deb4f501a3a77cacb29c028921b6ef4b127ea32e47ea204fa615a00426aca12a

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.10.0.dev20200415221914-cp36-cp36m-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.10.0.dev20200415221914-cp36-cp36m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 dd07fc44703d4b1a99b34117522be26cc0318388011ae6bb9141fc4e3b3f6dc6
MD5 06689980d1c084664bae18e1814af350
BLAKE2b-256 54d39bf2bde892df85413b120fccb3b63583fcd65e45e14555e8b95ee37af284

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.10.0.dev20200415221914-cp35-cp35m-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.10.0.dev20200415221914-cp35-cp35m-win_amd64.whl
  • Upload date:
  • Size: 872.5 kB
  • Tags: CPython 3.5m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.1.3 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.7.7

File hashes

Hashes for tfa_nightly-0.10.0.dev20200415221914-cp35-cp35m-win_amd64.whl
Algorithm Hash digest
SHA256 2b28967f338c6acae29612c8b29a4f0e2e2c021df7ed298db2c7a43b2ac47460
MD5 099e396c5d7821b75d68af8f80bba336
BLAKE2b-256 b63aac371f23514ac42e98b65d84d5c11de7416a2aaf91b520c1b9d61a182a0b

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.10.0.dev20200415221914-cp35-cp35m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.10.0.dev20200415221914-cp35-cp35m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 1027718fe321f3272049dbc4707586a8ce23208f2ecde5376d18faf9f020a694
MD5 bc9e4abf9603ca1c1cc5e090c949cd68
BLAKE2b-256 413b6246596dc9b7c08e895224aa69c267b50767b1c8952b6d95a573e922b928

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.10.0.dev20200415221914-cp35-cp35m-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.10.0.dev20200415221914-cp35-cp35m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 6bffbc3ca80a91fc4f8386aa8396ff4f289b63ae4ef5e431c1b50f72da33890f
MD5 2e553902494076fcc9e8af5fe9ccc0b2
BLAKE2b-256 a65f5240831f15826b5cbd39987f713a6ff3ff32c7b8096e77579b458db5da8a

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