# IvanDrokin/torch-conv-kan

<https://repo.masters-masters.com/en/repos/IvanDrokin/torch-conv-kan>

[Home](https://repo.masters-masters.com/en) › [IvanDrokin](https://repo.masters-masters.com/en/owners/IvanDrokin) › [torch-conv-kan](https://repo.masters-masters.com/en/repos/IvanDrokin/torch-conv-kan)

IvanDrokin/torch-conv-kan has 532 stars on GitHub. Its RepoMasters card: Alpha tier. This project is dedicated to the implementation and research of…

| Field | Value |
| --- | --- |
| Owner | [IvanDrokin](https://repo.masters-masters.com/en/owners/IvanDrokin) |
| Stars | 532 |
| Forks | 45 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2024 |
| Topics | computer-vision, convolutional-neural-networks, kolmogorov-arnold-networks |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [IvanDrokin/torch-conv-kan](https://github.com/IvanDrokin/torch-conv-kan) |

## Repository

This project is dedicated to the implementation and research of Kolmogorov-Arnold convolutional networks. The repository includes implementations of 1D, 2D, and 3D convolutions with different kernels, ResNet-like and DenseNet-like models, training code based on accelerate/PyTorch, as well as script…

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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