Comments (3)
makgyver
commented on July 1, 2024
1
Hi everyone, thank you for your interest in gossipy, and sorry for the delay.
You can contribute via the pull request mechanism. To cite this work, for now, simply use the GitHub link to the repository, and hopefully, soon there will be a paper about the library.
The papers cited in the README are not the ones using gossipy but the ones that I reproduced using it.
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ParsaMokhtariHessar
commented on July 1, 2024
this is my question too. after I'm done training my models I would like to contribute too! in the source code and I would like my paper to be added to the papers listed, that are implemented using gossipy. I would like to cite gossipy in my paper as my source code. would that be possible Mirko?
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makgyver
commented on July 1, 2024
Just FYI, I plan to expand the library with novel algorithms I find in the recent literature. So, if you have any suggestions, just let me know. Thanks.
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Related Issues (7)
- Issue Getting the code to utilize google collab GPU HOT 2
- Same code for Linear Regression and Logistic Regression ? HOT 2
- Why use PyTorch for simple machine learning models (linear regression, logistic regression, ...) instead of scikit-learn ? HOT 1
- Questions about the implementation of an algorithm HOT 1
- TPU support for gossipy HOT 2
- Issue when the network is composed of one node HOT 2
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