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

tfa_nightly-0.12.0.dev20201208032156-cp38-cp38-win_amd64.whl (637.8 kB view details)

Uploaded CPython 3.8 Windows x86-64

tfa_nightly-0.12.0.dev20201208032156-cp38-cp38-manylinux2010_x86_64.whl (743.5 kB view details)

Uploaded CPython 3.8 manylinux: glibc 2.12+ x86-64

tfa_nightly-0.12.0.dev20201208032156-cp38-cp38-macosx_10_13_x86_64.whl (504.2 kB view details)

Uploaded CPython 3.8 macOS 10.13+ x86-64

tfa_nightly-0.12.0.dev20201208032156-cp37-cp37m-win_amd64.whl (637.8 kB view details)

Uploaded CPython 3.7m Windows x86-64

tfa_nightly-0.12.0.dev20201208032156-cp37-cp37m-manylinux2010_x86_64.whl (743.6 kB view details)

Uploaded CPython 3.7m manylinux: glibc 2.12+ x86-64

tfa_nightly-0.12.0.dev20201208032156-cp37-cp37m-macosx_10_13_x86_64.whl (504.3 kB view details)

Uploaded CPython 3.7m macOS 10.13+ x86-64

tfa_nightly-0.12.0.dev20201208032156-cp36-cp36m-win_amd64.whl (637.8 kB view details)

Uploaded CPython 3.6m Windows x86-64

tfa_nightly-0.12.0.dev20201208032156-cp36-cp36m-manylinux2010_x86_64.whl (743.5 kB view details)

Uploaded CPython 3.6m manylinux: glibc 2.12+ x86-64

tfa_nightly-0.12.0.dev20201208032156-cp36-cp36m-macosx_10_13_x86_64.whl (504.2 kB view details)

Uploaded CPython 3.6m macOS 10.13+ x86-64

File details

Details for the file tfa_nightly-0.12.0.dev20201208032156-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.12.0.dev20201208032156-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 637.8 kB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.6.1 requests/2.25.0 setuptools/50.3.2 requests-toolbelt/0.9.1 tqdm/4.54.1 CPython/3.7.9

File hashes

Hashes for tfa_nightly-0.12.0.dev20201208032156-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 d88e394e843ebe8ed0f9e402649b82402f9c79d45ab57f8f8548829c51bdb611
MD5 923324096aaf83398aed1082ba9c511c
BLAKE2b-256 f418f783cace6b95189b1c1e2992527ea75a2ebd6a438bf732bbf48992eddef6

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.12.0.dev20201208032156-cp38-cp38-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.12.0.dev20201208032156-cp38-cp38-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 fb706614eb27d672d4fd53600d1bc8efa59abff6526111b1b8f92ad314b20d86
MD5 b684cccfce586b81b178079f5400adbd
BLAKE2b-256 1820fee3150987ac56ee65557d8501536443c912d653d5e7d5cb9a4e67314ce2

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.12.0.dev20201208032156-cp38-cp38-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.12.0.dev20201208032156-cp38-cp38-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 70b62171d9f27a4124aa15d0c475af0182432b804ff2f4d02aa4fd760ce147f7
MD5 1400df844b6d4447053f004d62b181df
BLAKE2b-256 b420d69ff5e325d3fa4c28836512a2b959422d6a08b299454b166926f0c921cd

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.12.0.dev20201208032156-cp37-cp37m-win_amd64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.12.0.dev20201208032156-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 e18d186272d991514ac2b771a4158625380a709c2d2883830cfe895b189b183f
MD5 f1c57ae4635c875b94dfee3eb4f7b86f
BLAKE2b-256 9b6c1ead7d106905e830a8df2e4bed67e8271f0be548d34123ee34f5f4da8eb7

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.12.0.dev20201208032156-cp37-cp37m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.12.0.dev20201208032156-cp37-cp37m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 64112a7a9923152b914bed74cfe3256a510e414e84b20acbbaa5eee68a801c9b
MD5 f784f5bd103e796118a80992e18aa840
BLAKE2b-256 d546a6be627bef9b098bcfd1f04b35349ca9ebd5f7aae691371ec6c1ff0dfc15

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.12.0.dev20201208032156-cp37-cp37m-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.12.0.dev20201208032156-cp37-cp37m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 bfbf7e97e98f9ddd51d28ac7ee9d005d4a541f226f03e1586d410e9a0fc654b9
MD5 998ad690ce4aeb0c2a0617e2ba75ca12
BLAKE2b-256 e6bb8211764a5f87e6a29f3bed87a7fca8965b9537b82ad6877891732f6c0911

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.12.0.dev20201208032156-cp36-cp36m-win_amd64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.12.0.dev20201208032156-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 1020c0733714d038748c40385b0448c125ab5396dd00eedc39ede8c02a617669
MD5 5421c342b8e09bf72affbb01beee51f0
BLAKE2b-256 b6d77b2b569dc28561df99d2b3f67558fbd88c0791ad7e5838081a69651eb7a6

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.12.0.dev20201208032156-cp36-cp36m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.12.0.dev20201208032156-cp36-cp36m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 cfb10bebc6292fc17cbf560d7ec8814628023bc59f1dd8b87b50cb7c89e2bad8
MD5 9636c089d4901c56f1b7f7ca6a48753a
BLAKE2b-256 9e444d4b44ef375bdef1afc61499255f3b6867ac32a6edbed392227cfddce7a3

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.12.0.dev20201208032156-cp36-cp36m-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.12.0.dev20201208032156-cp36-cp36m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 af16202f2ce922aa88e1abe32b61ba77cbf2b7caa8142957a8752f500425e622
MD5 a5042e7b7eda5418b49227c03f4460b5
BLAKE2b-256 5de2d5707b972e11c8a8fd9eea900a1bd11ab7a205a027bf399b79e5af1f5c91

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page