Skip to main content

Keras Efficient KAN

Project description

Keras Efficient Kan

Keras package reproducting the pytorch efficient_kan implementation

Package is available on pypi here

It implements KANLinear based on Kolmogorov-Arnold Network that can be used as a drop-in replacement for Dense layers in Keras models.

It supports array with more than 2 dimensions, applying the same transformation to all the dimensions except the last one.

Shield: CC BY-NC-SA 4.0

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

CC BY-NC-SA 4.0

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

keras_efficient_kan-0.1.8.tar.gz (3.1 kB view details)

Uploaded Source

Built Distribution

keras_efficient_kan-0.1.8-py3-none-any.whl (3.4 kB view details)

Uploaded Python 3

File details

Details for the file keras_efficient_kan-0.1.8.tar.gz.

File metadata

  • Download URL: keras_efficient_kan-0.1.8.tar.gz
  • Upload date:
  • Size: 3.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.7.1 CPython/3.12.2 Linux/6.5.0-14-generic

File hashes

Hashes for keras_efficient_kan-0.1.8.tar.gz
Algorithm Hash digest
SHA256 05f0600d1ba00862d13bd047e5a230b4ae1148a58b470a0adf78d9d10c3947c5
MD5 41056f645d469763db0ec1c18bc346ee
BLAKE2b-256 1f59dee1564d334272d981a478cbd08579bd508ec8caca4a741614ba792a993f

See more details on using hashes here.

File details

Details for the file keras_efficient_kan-0.1.8-py3-none-any.whl.

File metadata

File hashes

Hashes for keras_efficient_kan-0.1.8-py3-none-any.whl
Algorithm Hash digest
SHA256 368366fb854e472628358746f259a5c5b69267943bb97081fb711a1277b972d1
MD5 22899b08028e7673bfe87efba4cb271b
BLAKE2b-256 6bd70d47f1fb687189c371210f5e92a953773edaa5def55235053fcd9ed14483

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