# AntonioTepsich/Convolutional-KANs

<https://repo.masters-masters.com/en/repos/AntonioTepsich/Convolutional-KANs>

[Home](https://repo.masters-masters.com/en) › [AntonioTepsich](https://repo.masters-masters.com/en/owners/AntonioTepsich) › [Convolutional-KANs](https://repo.masters-masters.com/en/repos/AntonioTepsich/Convolutional-KANs)

AntonioTepsich/Convolutional-KANs has 919 stars on GitHub. Its RepoMasters card: Beta tier. This project extends the idea of the innovative architecture of…

| Field | Value |
| --- | --- |
| Owner | [AntonioTepsich](https://repo.masters-masters.com/en/owners/AntonioTepsich) |
| Stars | 919 |
| Forks | 94 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | MIT |
| Created | 2024 |
| Topics | cnn, computer-vision, deep-learning |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [AntonioTepsich/Convolutional-KANs](https://github.com/AntonioTepsich/Convolutional-KANs) |

## Repository

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.

The tier for repos with 700 to 1,999 ★. Published odds per card pulled: 6%. Rarity: Rare.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.