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.dev20190607-cp36-cp36m-macosx_10_13_x86_64.whl (436.9 kB view details)

Uploaded CPython 3.6mmacOS 10.13+ x86-64

tfa_nightly-0.4.0.dev20190607-cp35-cp35m-macosx_10_13_x86_64.whl (436.9 kB view details)

Uploaded CPython 3.5mmacOS 10.13+ x86-64

tfa_nightly-0.4.0.dev20190607-cp34-cp34m-macosx_10_13_x86_64.whl (436.9 kB view details)

Uploaded CPython 3.4mmacOS 10.13+ x86-64

tfa_nightly-0.4.0.dev20190607-cp27-cp27m-macosx_10_13_x86_64.whl (436.9 kB view details)

Uploaded CPython 2.7mmacOS 10.13+ x86-64

File details

Details for the file tfa_nightly-0.4.0.dev20190607-cp36-cp36m-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.4.0.dev20190607-cp36-cp36m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 94eeef4812ddb18cbf280b9614d8e39b46595ba7d3f70fe49ff5c03d66e4bbfb
MD5 a9d228bc18ca413cf4f74abb15fe2ec3
BLAKE2b-256 3e6afd39153d3c0befc7addfe9d52cad0634237e7a1131234ae0b458c0076fde

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.4.0.dev20190607-cp36-cp36m-macosx_10_13_x86_64.whl.

File metadata

  • Download URL: tfa_nightly-0.4.0.dev20190607-cp36-cp36m-macosx_10_13_x86_64.whl
  • Upload date:
  • Size: 436.9 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.dev20190607-cp36-cp36m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 c553c055a4d3e11ac0aea9c30759c3f6119ff0806c44455cf2a66337808930c5
MD5 662f74f66cffd28bb1c8dff232b082b4
BLAKE2b-256 ab8d48c99198bea0fcbf99d4079fdaecd46c8b962be4cc16d953883ba9653860

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.4.0.dev20190607-cp35-cp35m-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.4.0.dev20190607-cp35-cp35m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 a9ff776de974d8c80ba951f83bc38d8a8334bcd549e8df3cc07c5e97bad0fa4f
MD5 626fcfe169bea3edaeec8d948427a880
BLAKE2b-256 00841f4160deaf273af41d3c63d7bcdc90ff9f37f2e55cb4059ba77f48ac4302

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.4.0.dev20190607-cp35-cp35m-macosx_10_13_x86_64.whl.

File metadata

  • Download URL: tfa_nightly-0.4.0.dev20190607-cp35-cp35m-macosx_10_13_x86_64.whl
  • Upload date:
  • Size: 436.9 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.dev20190607-cp35-cp35m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 39295a849cb992b1b5bc7dc251e765098879e46f3b75485a9e88e67bb0be82d9
MD5 208ee4694336d14d2d94e0b015f86870
BLAKE2b-256 190bcecaf02a936335fb9a7ed280c4d8f71c147f7a147cc76a3de2791e3b33a7

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.4.0.dev20190607-cp34-cp34m-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.4.0.dev20190607-cp34-cp34m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 2336f30b1d310bfa95e6af01e200d87a6e2c2c832013d26479a827b2b8934cf5
MD5 bc32779bbdd98378fb489e777ee3a56a
BLAKE2b-256 83d74ea3a326f88f231b897b83a70c30c5c0a735e11e15d5c403bdfc3ba41549

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.4.0.dev20190607-cp34-cp34m-macosx_10_13_x86_64.whl.

File metadata

  • Download URL: tfa_nightly-0.4.0.dev20190607-cp34-cp34m-macosx_10_13_x86_64.whl
  • Upload date:
  • Size: 436.9 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.dev20190607-cp34-cp34m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 e507187b41305864e7d97d087f5cf00dc4c15c02629e99a95d00462351729a0d
MD5 68c9354a565a0217328b5205e28c6204
BLAKE2b-256 90ecd0007fd149d663817970c5b7c1254ba22219ca7f27719342a6613d8ff701

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.4.0.dev20190607-cp27-cp27mu-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.4.0.dev20190607-cp27-cp27mu-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 3a0866355362dec2c7447163e1867230c8f70b5d3286f0c9bd8295e1d527922d
MD5 bb7227dd90dc980fe4a93bf1ea1230db
BLAKE2b-256 92d9d297b5a05c4f0a0d2cc0c555caa95fe485ce46287f6315755a257dadb4c1

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.4.0.dev20190607-cp27-cp27m-macosx_10_13_x86_64.whl.

File metadata

  • Download URL: tfa_nightly-0.4.0.dev20190607-cp27-cp27m-macosx_10_13_x86_64.whl
  • Upload date:
  • Size: 436.9 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.dev20190607-cp27-cp27m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 8aa5d90495c8a82e46213c858ff9224f11ebec55be2ccc91f104eaaf38fb0114
MD5 5e11e4198a21f15e0828cc65007e0345
BLAKE2b-256 543a3127c2a1616fabe949f1eee9a947881c1746887d934836daf2dda1a0f916

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