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-0.15.0.dev20210921215523-cp39-cp39-win_amd64.whl (753.3 kB view details)

Uploaded CPython 3.9Windows x86-64

tfa_nightly-0.15.0.dev20210921215523-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (1.1 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.12+ x86-64

tfa_nightly-0.15.0.dev20210921215523-cp39-cp39-macosx_11_0_arm64.whl (551.5 kB view details)

Uploaded CPython 3.9macOS 11.0+ ARM64

tfa_nightly-0.15.0.dev20210921215523-cp39-cp39-macosx_10_13_x86_64.whl (583.0 kB view details)

Uploaded CPython 3.9macOS 10.13+ x86-64

tfa_nightly-0.15.0.dev20210921215523-cp38-cp38-win_amd64.whl (753.3 kB view details)

Uploaded CPython 3.8Windows x86-64

tfa_nightly-0.15.0.dev20210921215523-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (1.1 MB view details)

Uploaded CPython 3.8manylinux: glibc 2.12+ x86-64

tfa_nightly-0.15.0.dev20210921215523-cp38-cp38-macosx_11_0_arm64.whl (551.5 kB view details)

Uploaded CPython 3.8macOS 11.0+ ARM64

tfa_nightly-0.15.0.dev20210921215523-cp38-cp38-macosx_10_13_x86_64.whl (583.0 kB view details)

Uploaded CPython 3.8macOS 10.13+ x86-64

tfa_nightly-0.15.0.dev20210921215523-cp37-cp37m-win_amd64.whl (753.3 kB view details)

Uploaded CPython 3.7mWindows x86-64

tfa_nightly-0.15.0.dev20210921215523-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (1.1 MB view details)

Uploaded CPython 3.7mmanylinux: glibc 2.12+ x86-64

tfa_nightly-0.15.0.dev20210921215523-cp37-cp37m-macosx_10_13_x86_64.whl (583.0 kB view details)

Uploaded CPython 3.7mmacOS 10.13+ x86-64

tfa_nightly-0.15.0.dev20210921215523-cp36-cp36m-win_amd64.whl (753.3 kB view details)

Uploaded CPython 3.6mWindows x86-64

tfa_nightly-0.15.0.dev20210921215523-cp36-cp36m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (1.1 MB view details)

Uploaded CPython 3.6mmanylinux: glibc 2.12+ x86-64

tfa_nightly-0.15.0.dev20210921215523-cp36-cp36m-macosx_10_13_x86_64.whl (583.0 kB view details)

Uploaded CPython 3.6mmacOS 10.13+ x86-64

File details

Details for the file tfa_nightly-0.15.0.dev20210921215523-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.15.0.dev20210921215523-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 753.3 kB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.12

File hashes

Hashes for tfa_nightly-0.15.0.dev20210921215523-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 4a1416d0b04bf56bfa46fa0f5d5a9cc4a784a29dff14ff476103303da8336996
MD5 c262a23347d4c857660ef528b26376d2
BLAKE2b-256 d73b221387b3844de9e1276bf6b91c749bf1579fed2f764b59eb7bb3802d7d2f

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.15.0.dev20210921215523-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.15.0.dev20210921215523-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 faa17e79c3694dbb4a0f573989bd1ee864051364538e7bc56432d05587a083cf
MD5 2dd0fab0c8d17b4b22e8cba25ac6c06c
BLAKE2b-256 a99108deb9d93d613c13ac61f0eac954435dce20030c0c8e6063a6e4b230d477

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.15.0.dev20210921215523-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.15.0.dev20210921215523-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 0c2f27fc613ce260c50ac503fac2a4deee046440c90adcc9f000484b1c2970b3
MD5 98da6f3721c9f72dbe45f44d0c10ac88
BLAKE2b-256 53aebf00fcb64bb12f09e63b5456780185c58ac43bfb19e6c50c48e425be61df

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.15.0.dev20210921215523-cp39-cp39-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.15.0.dev20210921215523-cp39-cp39-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 e4aa4da3b746bd452225883a87b45c0054b5ecef13bdfa82a644ea103808b671
MD5 cef01060c6532f8f4a3bb68684f0727d
BLAKE2b-256 4f6a9495d72392fde84119f294d3454c7415ea40e6ad129526a320bf839f975e

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.15.0.dev20210921215523-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.15.0.dev20210921215523-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 753.3 kB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.12

File hashes

Hashes for tfa_nightly-0.15.0.dev20210921215523-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 9bb2a80c37b27bc3767a9769974fed107597009c5a8a81577018b97778854256
MD5 4952154ddcb12e190b91dc46f40d622c
BLAKE2b-256 4988fa99193c9f506e4c21e529608c7818cf94225a87be029e16fb5e6c39494d

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.15.0.dev20210921215523-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.15.0.dev20210921215523-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 129e59fa2db45d39d703aa5def15a06cddc69063a190f32fefc9d970ed4861a2
MD5 a4acb1869b892fccc323ef5c33c857a1
BLAKE2b-256 e3f76115e81de02192b4b0ade8bd7af15949a9644db143204e043304d67ae69f

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.15.0.dev20210921215523-cp38-cp38-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.15.0.dev20210921215523-cp38-cp38-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 9219370e006110ec2dbdb4d73447cbc0ab9928ed832e35b16d0994b432005b21
MD5 16716bf6ff737931be3381837113581e
BLAKE2b-256 8da8b3457cd89280a2753d6a6147318171a0b2ba739ebb3c309ace486be1dca9

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.15.0.dev20210921215523-cp38-cp38-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.15.0.dev20210921215523-cp38-cp38-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 b6f42b8d0913e8c1654f81b87270a0719793778c86a6abf2022f95a38f26d905
MD5 c25b770919f32d536bbda5413fdd19b8
BLAKE2b-256 6e2a91f56794fbe5f0b7b54b1ebf767bb74d501b9aad2ea8078d79b9162424e0

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.15.0.dev20210921215523-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.15.0.dev20210921215523-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 753.3 kB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.12

File hashes

Hashes for tfa_nightly-0.15.0.dev20210921215523-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 bb19d61eace24caadac9e13ab6bfa04a0a0373e639ad0f28a2fd60f8cf4949ee
MD5 b67ba15cf3623cbb2a2cad5b961cda80
BLAKE2b-256 fbebd57f7b628650385942d8335005af063a13998df0a77ed2238fa692c72a7e

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.15.0.dev20210921215523-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.15.0.dev20210921215523-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 8f17438236e62977d185397e1b51b4cffb61bfa21d2c0828af91286178c5b9f2
MD5 8d3e184710c84696a74212e61712544c
BLAKE2b-256 3eb4d108ec95871ccfddd9245edd1d9e9f12fd5152722ce29e2c45ce2101dda1

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.15.0.dev20210921215523-cp37-cp37m-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.15.0.dev20210921215523-cp37-cp37m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 15acd8340f9bd1431b0437aa8b89d9edeceee086ce96f4b7b494fc09d448bb17
MD5 d81639a5d988309194e8dc029d864803
BLAKE2b-256 d28468f4afec28759889307ea8b059f28b1ad6e6ba57627a41e2f6d3c9e1b29f

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.15.0.dev20210921215523-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: tfa_nightly-0.15.0.dev20210921215523-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 753.3 kB
  • Tags: CPython 3.6m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.12

File hashes

Hashes for tfa_nightly-0.15.0.dev20210921215523-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 42afd58181e52588db33bea8ea895640960fd50e6336945fbf581e3cdf752811
MD5 e298463fcd54356c2aaac636f6032f85
BLAKE2b-256 f4547c7adc3abc56e63ccc649ca0a304a8b8cc206eb66fee5611c70869a5daad

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.15.0.dev20210921215523-cp36-cp36m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.15.0.dev20210921215523-cp36-cp36m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 6a97bbf3bd6d6ab2e1adcbdbb9703fde70a3ebac54b30cb51c480ffdc688330c
MD5 83914003b2689bad26b4e9ead430ce1e
BLAKE2b-256 f0781610a626c5484cd710571f4d28d6f813f2169b69cac24662c01bacfd19bb

See more details on using hashes here.

File details

Details for the file tfa_nightly-0.15.0.dev20210921215523-cp36-cp36m-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tfa_nightly-0.15.0.dev20210921215523-cp36-cp36m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 e268f4077dbc7ead242217ec28cf2f6ba6a85b4d72d421215065baf3661c06a7
MD5 dcc7f6d43723685f8960ee796746773c
BLAKE2b-256 26044b168e1c97e29908071ac6b209ac4d61ebc150a2ef227b1b6f1a012a8458

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