IvanDrokin / torch-conv-kan

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 scripts for experiments with CIFAR-10 and Tiny ImageNet.

Date Created 2024-05-13 (about a month ago)

Commits 63 (last one 20 hours ago)

Stargazers 243 (18 this week)

Watchers 3 (0 this week)

Forks 13

License mit

Ranking

RepositoryStats indexes 536,158 repositories, of these IvanDrokin/torch-conv-kan is ranked #147,255 (73rd percentile) for total stargazers, and #399,605 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #25,140/103,873.

IvanDrokin/torch-conv-kan is also tagged with popular topics, for these it's ranked: computer-vision (#1,012/2826), convolutional-neural-networks (#178/513)

Other Information

IvanDrokin/torch-conv-kan has Github issues enabled, there are 3 open issues and 3 closed issues.

All Topics

computer-vision kolmogorov-arnold-networks convolutional-neural-networks

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63 commits on the default branch (main) since jan '22

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The only known language in this repository is Python

updated: 2024-07-03 @ 08:35pm, id: 799845479 / R_kgDOL6ysZw