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-0.11.0.dev20200618214053-cp38-cp38-win_amd64.whl (901.1 kB view details)

Uploaded CPython 3.8Windows x86-64

tfa_nightly-0.11.0.dev20200618214053-cp38-cp38-manylinux2010_x86_64.whl (1.1 MB view details)

Uploaded CPython 3.8manylinux: glibc 2.12+ x86-64

tfa_nightly-0.11.0.dev20200618214053-cp38-cp38-macosx_10_13_x86_64.whl (595.7 kB view details)

Uploaded CPython 3.8macOS 10.13+ x86-64

tfa_nightly-0.11.0.dev20200618214053-cp37-cp37m-win_amd64.whl (901.1 kB view details)

Uploaded CPython 3.7mWindows x86-64

tfa_nightly-0.11.0.dev20200618214053-cp37-cp37m-manylinux2010_x86_64.whl (1.1 MB view details)

Uploaded CPython 3.7mmanylinux: glibc 2.12+ x86-64

tfa_nightly-0.11.0.dev20200618214053-cp37-cp37m-macosx_10_13_x86_64.whl (595.7 kB view details)

Uploaded CPython 3.7mmacOS 10.13+ x86-64

tfa_nightly-0.11.0.dev20200618214053-cp36-cp36m-win_amd64.whl (901.1 kB view details)

Uploaded CPython 3.6mWindows x86-64

tfa_nightly-0.11.0.dev20200618214053-cp36-cp36m-manylinux2010_x86_64.whl (1.1 MB view details)

Uploaded CPython 3.6mmanylinux: glibc 2.12+ x86-64

tfa_nightly-0.11.0.dev20200618214053-cp36-cp36m-macosx_10_13_x86_64.whl (595.7 kB view details)

Uploaded CPython 3.6mmacOS 10.13+ x86-64

tfa_nightly-0.11.0.dev20200618214053-cp35-cp35m-win_amd64.whl (901.1 kB view details)

Uploaded CPython 3.5mWindows x86-64

tfa_nightly-0.11.0.dev20200618214053-cp35-cp35m-manylinux2010_x86_64.whl (1.1 MB view details)

Uploaded CPython 3.5mmanylinux: glibc 2.12+ x86-64

tfa_nightly-0.11.0.dev20200618214053-cp35-cp35m-macosx_10_13_x86_64.whl (595.7 kB view details)

Uploaded CPython 3.5mmacOS 10.13+ x86-64

File details

Details for the file tfa_nightly-0.11.0.dev20200618214053-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.11.0.dev20200618214053-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 901.1 kB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.24.0 setuptools/47.1.1 requests-toolbelt/0.9.1 tqdm/4.46.1 CPython/3.7.7

File hashes

Hashes for tfa_nightly-0.11.0.dev20200618214053-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 9995020050ccc191d0a6312e9595fef763edf4a6a15536bd9a0fc432a33e22bf
MD5 2c4e8e3d578619bc0073a94b5dbca7e8
BLAKE2b-256 372f7de83beb1ab9c9f07fad7386e2a504bce11f4e2c14e371f525e8fca67cd8

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.11.0.dev20200618214053-cp38-cp38-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.11.0.dev20200618214053-cp38-cp38-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 2384ecd4841adebac33cd20288a097c96e43c62e6c8510b14d3ad214981c203f
MD5 a835b782d39b7a77d6a60068a4b68f02
BLAKE2b-256 4d2464c75fe7df7e5a21d9a44b6614d29ace074004d11f0d4e92dc444a0105f4

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.11.0.dev20200618214053-cp38-cp38-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.11.0.dev20200618214053-cp38-cp38-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 1be8e62e759692906a9843eb517323ba9cbada944d1f5409eb84809b311c8e63
MD5 72fb93a061ca8796093982559bc6cd88
BLAKE2b-256 2eb5d94327fe5082e015c294e4b70fe1f30ebea932c8b2b29f185583579f2aaa

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.11.0.dev20200618214053-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.11.0.dev20200618214053-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 901.1 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/2.24.0 setuptools/47.1.1 requests-toolbelt/0.9.1 tqdm/4.46.1 CPython/3.7.7

File hashes

Hashes for tfa_nightly-0.11.0.dev20200618214053-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 b9576a515cb3c0405d3ee2870c97c6d41cf310394d3eac3bcf7d5bd2fbd18214
MD5 54a5231dc041b247d42e287390d3db21
BLAKE2b-256 f7f4047f9cc96b33d8d81d789484912012b25602c9f8215ed9cbd3aa38d67f6f

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.11.0.dev20200618214053-cp37-cp37m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.11.0.dev20200618214053-cp37-cp37m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 9dd1bf3ae2375eed7b56f9a15d6e8d39c8a1578d4c1366b9bea6015d6d7fb6e6
MD5 0f98cd04b5892095c47d74ac11c908bc
BLAKE2b-256 b34665fe8d6b03156494606b59c3c7069d858cb077f170975f9b6ae2b99f7a50

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.11.0.dev20200618214053-cp37-cp37m-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.11.0.dev20200618214053-cp37-cp37m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 884472b0b10967d5acca5f311352fc5ace1a2aa22eb0f127f9f6beedb2fdaa8b
MD5 58c55b4e9c31d8a4bf2055409e17cd90
BLAKE2b-256 d143050f89daa0711fadaaa7e423a1104328c5d5cbd51b02b43b9eefca88f752

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.11.0.dev20200618214053-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.11.0.dev20200618214053-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 901.1 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/2.24.0 setuptools/47.1.1 requests-toolbelt/0.9.1 tqdm/4.46.1 CPython/3.7.7

File hashes

Hashes for tfa_nightly-0.11.0.dev20200618214053-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 0520d9b91a8c92c970a207ab66a1fc9940d1de778a0e7e84b4581996b0dccc0b
MD5 8504c7f04d21bb7bf2ae1ab66219e461
BLAKE2b-256 0ed91e132eca2bb42b59e9c297732ad9b5d278145791610d0dadf54f552eba95

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.11.0.dev20200618214053-cp36-cp36m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.11.0.dev20200618214053-cp36-cp36m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 db590d14779efa8f38f70fd8da686fe7943f3161e7022e55afc8845c96c058b0
MD5 d949b5b0bb20e22fcaf1abe7237eb5a4
BLAKE2b-256 f3fed679e078c66a799f340e363459b836c5410a1083b6804a582a52d4646c15

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.11.0.dev20200618214053-cp36-cp36m-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.11.0.dev20200618214053-cp36-cp36m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 5ea3a819dc1b1f9d210ec503afebc1e919403b2996f83933aa291d40075b6794
MD5 3904653e64056fa622e399977bd72715
BLAKE2b-256 6be08747e972c40790f23a7c02ade1322f7093e3e190ebd5cedc1fca491f4eef

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.11.0.dev20200618214053-cp35-cp35m-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.11.0.dev20200618214053-cp35-cp35m-win_amd64.whl
  • Upload date:
  • Size: 901.1 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/2.24.0 setuptools/47.1.1 requests-toolbelt/0.9.1 tqdm/4.46.1 CPython/3.7.7

File hashes

Hashes for tfa_nightly-0.11.0.dev20200618214053-cp35-cp35m-win_amd64.whl
Algorithm Hash digest
SHA256 10b7f735b1ff2e116ab9cf79a90a9ba938d583bb0328e0a54b76547ddd680dcc
MD5 0b674ca667de3119066cbf80bc1b5bfa
BLAKE2b-256 b4ac7407bc4703753ce8256450e80d239312b290f03fe370b8278b77b5d02023

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.11.0.dev20200618214053-cp35-cp35m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.11.0.dev20200618214053-cp35-cp35m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 1e87ce6c12aefcfb9ec3bf46ee6314a9335641135bf7952c24e0818f175e49c4
MD5 b25c4894b889058ed12301ce7c791105
BLAKE2b-256 bb3f2ec6ff7cdc79463bba935e65a11e49032a6fbf987dd6c1f02a119a3c5247

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.11.0.dev20200618214053-cp35-cp35m-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.11.0.dev20200618214053-cp35-cp35m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 9356cb4aaaee2d8aa530a7f171047428ba0ef24df14d0a922852468161948cf0
MD5 fc2ac18e4cfb9f0fd7620bec40d5fe28
BLAKE2b-256 11300e9db28222653a2c54d9115468e22df7ea1584481f07ed90b349ebef4d76

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