Welcome to Kolmogorov Arnold Network (KAN) documentation!


This documentation is for the paper “KAN: Kolmogorov-Arnold Networks” and the github repo. Kolmogorov-Arnold Networks, inspired by the Kolmogorov-Arnold representation theorem, are promising alternatives of Multi-Layer Preceptrons (MLPs). KANs have activation functions on edges, whereas MLPs have activation functions on nodes. This simple change makes KAN better than MLPs in terms of both accuracy and interpretability.


Installation via github

git clone https://github.com/KindXiaoming/pykan.git
cd pykan
pip install -e .
# pip install -r requirements.txt # install requirements

Installation via PyPI

pip install pykan


Get started

Indices and tables