awesome-kan
github.com/mintisan/awesome-kan ↗A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and more, for researchers and developers in the Kolmogorov-Arnold Network field.
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Papers
- A Comprehensive Survey on Kolmogorov Arnold Networks (KAN)
- Adaptive Training of Grid-Dependent Physics-Informed Kolmogorov-Arnold Networks
- A deep machine learning algorithm for construction of the Kolmogorov–Arnold representation
- A First Look at Kolmogorov-Arnold Networks in Surrogate-assisted Evolutionary Algorithms
- AF-KAN: Activation Function-Based Kolmogorov-Arnold Networks for Efficient Representation Learning
expand ReLU-KAN with various activations and their function combinations
- A Gated Residual Kolmogorov-Arnold Networks for Mixtures of Experts
Tutorial
- A from-scratch implementation of Kolmogorov-Arnold Networks (KAN)…and MLP
- Andrey Kolmogorov — one of the greatest mathematicians of the XXth century
- A Simplified Explanation Of The New Kolmogorov-Arnold Network (KAN) from MIT
- Deep Dive on Kolmogorov–Arnold Neural Networks | Ziming Liu(KAN Author)YouTube
- Demystifying Kolmogorov-Arnold Networks: A Beginner-Friendly Guide with Code
- Didn't Graduate Guide to: Kolmogorov-Arnold NetworksYouTube
Discussion
Library
Showing a sample of 205 resources. View the full list on GitHub →