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,
- Stars
- 532
- Forks
- 45
- Open issues
- 9
- Last push
- 2mo ago
About torch-conv-kan
torch-conv-kan is a free, open-source machine learning tool by IvanDrokin, written mainly in Python. 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,. It has 532 GitHub stars and 45 forks, and was last updated 2mo ago. It's released under the MIT license, a standard open-source license.
- License
- MIT
- Language
- Python
- Stars
- 532
- Last update
- 2mo ago
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Not stated
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torch-conv-kan FAQ
Is torch-conv-kan free?
Yes. torch-conv-kan is open source and free to use. It's released under the MIT license, a standard open-source license.
Does torch-conv-kan run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does torch-conv-kan need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is torch-conv-kan still maintained?
It was last updated 2mo ago. Check recent issues on GitHub to judge how active it is.
What are alternatives to torch-conv-kan?
Similar free, open-source tools include pytorch-image-models, ludwig, Reticulum, Objectron.