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 (6 months ago)

Commits 69 (last one a day ago)

Stargazers 417 (9 this week)

Watchers 7 (0 this week)

Forks 32

License mit

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RepositoryStats indexes 584,353 repositories, of these IvanDrokin/torch-conv-kan is ranked #103,834 (82nd percentile) for total stargazers, and #269,279 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #17,348/116,326.

IvanDrokin/torch-conv-kan is also tagged with popular topics, for these it's ranked: computer-vision (#749/3081), convolutional-neural-networks (#123/540)

Other Information

IvanDrokin/torch-conv-kan has Github issues enabled, there are 6 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: 2024-11-21 @ 07:13am, id: 799845479 / R_kgDOL6ysZw