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Convolutional-KANs

Convolutional-KANs

by AntonioTepsich · GitHub

This project extends the idea of the innovative architecture of Kolmogorov-Arnold Networks (KAN) to the Convolutional Layers, changing the classic linear transformation of the convolution to learnable non linear activations in each pixel.

# cnn# computer-vision# deep-learning
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⭐ Stars
921
🍴 Forks
95
📜 License
MIT
Commercial use OK
📅 Created
2024
🔄 Last commit
1 yr ago
🏷️ Category
cnn
💻 Language
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Convolutional-KANs — GitHub preview card
📈 Star history
922921
2026-07-202026-07-21
📄 About

This project extends the idea of the innovative architecture of Kolmogorov-Arnold Networks (KAN) to the Convolutional Layers, changing the classic linear transformation of the convolution to learnable non linear activations in each pixel.

Frequently asked questions

What is Convolutional-KANs?

This project extends the idea of the innovative architecture of Kolmogorov-Arnold Networks (KAN) to the Convolutional Layers, changing the classic linear transformation of the convolution to learnable non linear activations in each pixel.

Is Convolutional-KANs open source?

Convolutional-KANs is an open-source project. It is released under the MIT license.

Is Convolutional-KANs free?

Yes. Convolutional-KANs is free and open source — you can use, modify and self-host it.

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