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 (7 months ago)

Commits 69 (last one about a month ago)

Stargazers 447 (4 this week)

Watchers 8 (0 this week)

Forks 34

License mit

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RepositoryStats indexes 595,856 repositories, of these IvanDrokin/torch-conv-kan is ranked #99,623 (83rd percentile) for total stargazers, and #246,776 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #16,669/119,431.

IvanDrokin/torch-conv-kan is also tagged with popular topics, for these it's ranked: computer-vision (#721/3130), convolutional-neural-networks (#120/549)

Other Information

IvanDrokin/torch-conv-kan has Github issues enabled, there are 7 open issues and 9 closed issues.

All Topics

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

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

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The only known language in this repository is Python

updated: 2024-12-21 @ 03:15pm, id: 799845479 / R_kgDOL6ysZw