awesome-kan
github.com/xatta-trone/awesome-kan ↗A curated collection of KAN (Kolmogorov-Arnold Network) resources—libraries, projects, tutorials, papers, and more—for researchers and developers in the field.
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Installation instructions →What's inside
Papers (756)
- 2D and 3D Deep Learning Models for MRI-based Parkinson's Disease Classification: A Comparative Analysis of Convolutional Kolmogorov-Arnold Networks, Convolutional Neural Networks, and Graph Convolutional Networks
- AASIST3: KAN-Enhanced AASIST Speech Deepfake Detection using SSL Features and Additional Regularization for the ASVspoof 2024 Challenge
- ABFR-KAN: Kolmogorov-Arnold Networks for Functional Brain Analysis
- A Case for Kolmogorov-Arnold Networks in Prefetching: Towards Low-Latency, Generalizable ML-Based Prefetchers
- Accurate Surrogate Amplitudes with Calibrated Uncertainties
- A Comprehensive Overview and Comparative Analysis on Deep Learning Models: CNN, RNN, LSTM, GRU
Tutorial
- A from-Scratch Implementation of Kolmogorov-Arnold Networks (KAN)…and MLPWritten Tutorials
- A Simplified Explanation of the New Kolmogorov-Arnold Network (KAN) from MITWritten Tutorials
- Deep Dive on Kolmogorov–Arnold Neural Networks | Ziming Liu (KAN Author)Video Tutorials
- Demystifying Kolmogorov-Arnold Networks: A Beginner-Friendly GuideWritten Tutorials
- Didn't Graduate Guide to: Kolmogorov-Arnold NetworksVideo Tutorials
Library
- BSRBF_KAN
A hybrid approach combining B-Spline and Radial Basis Function (RBF) layers within KAN.
- CF-KAN
A KAN-based collaborative filtering algorithm designed for recommender systems.
- ChebyKAN
A variation of KAN leveraging Chebyshev polynomials instead of traditional activation functions.
- ConvKAN3D
A 3D convolutional implementation of KAN for applications requiring volumetric data processing.
- cuda-Wavelet-KAN
A CUDA-optimized KAN implementation specifically for wavelet-based transformations.
- Deep-KAN
An improved and optimized implementation of the Kolmogorov-Arnold Network in PyTorch.
Showing a sample of 776 resources. View the full list on GitHub →