catswe/LinearKAN
LinearKAN: A very fast implementation of Kolmogorov-Arnold Networks
This project offers a significantly faster way to train and use Kolmogorov-Arnold Networks (KANs) for machine learning tasks. It takes structured numerical data as input and produces processed numerical outputs, helping machine learning practitioners build and deploy models more efficiently. If you're working with AI models and need a powerful, yet accelerated alternative to traditional neural networks, this tool can help.
Use this if you are a machine learning engineer or researcher looking to leverage Kolmogorov-Arnold Networks (KANs) for their modeling capabilities but are hindered by their typical training and inference speed.
Not ideal if you are not working with machine learning models or specifically looking to implement Kolmogorov-Arnold Networks.
Stars
20
Forks
1
Language
Python
License
Apache-2.0
Category
Last pushed
Nov 12, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/catswe/LinearKAN"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
NVIDIAGameWorks/kaolin
A PyTorch Library for Accelerating 3D Deep Learning Research
Jim137/qkan
PyTorch implementation of QKAN "Quantum-inspired Kolmogorov-Arnold Network"...
AntonioTepsich/Convolutional-KANs
This project extends the idea of the innovative architecture of Kolmogorov-Arnold Networks (KAN)...
lgy112112/ikan
ikan: many kan variants for every body
Indoxer/LKAN
Variations of Kolmogorov-Arnold Networks