SamanKhamesian / Hybrid-Self-Attention-NEAT

This repository is the official implementation of the Hybrid Self-Attention NEAT algorithm. It contains the code to reproduce the results presented in the original paper: https://link.springer.com/article/10.1007/s12530-023-09510-3
Apache License 2.0
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Consider Acknowledging Use of neat-python Code in Your Project #3

Closed WLS2002 closed 1 year ago

WLS2002 commented 1 year ago

Hey there,

I was taking a look at your code in the "neat" package and couldn't help but notice that it's really similar to the stuff in the neat-python GitHub repo (https://github.com/CodeReclaimers/neat-python). But I couldn't find any mention of neat-python in your paper or on the GitHub page for your project.

I totally get that neat-python is under the 3-clause BSD license and anyone can use the code however they like. But it's usually a good move to give a shout-out to the code you've used, especially when it's a big chunk.

Just a suggestion - maybe consider mentioning that you've used some code from neat-python somewhere in your project page or future papers if it indeed was a big help in your work. It could clear up where the code came from and it's a nice nod to the authors of neat-python.

Thanks for considering, and keep up the good work!

Best, wls2002

SamanKhamesian commented 1 year ago

Hi there,

I hope this email finds you well.

I want to express my gratitude for reaching out and raising the issue regarding the "neat package." Your diligence and attention to detail are greatly appreciated.

I fully agree with you and recognize the significance of the matter you've raised. I would like to mention that I have already listed the packages I used in the Abstract section of the GitHub repository, which contains the PurePython library: https://github.com/ukuleleplayer/pureples. However, I understand the importance of addressing your project's specific implementation of the neat algorithm as well.

The "neat package" has been an invaluable resource throughout our development process. Its robust features and functionality have significantly contributed to the success of our project thus far.

Once again, I would like to extend my respect and gratitude to you for bringing this issue to my attention. Your dedication to quality and your contributions to our project are truly valued. Please rest assured that I will work diligently to address this matter and mention your project in the GitHub repository.

If you have any further insights or suggestions regarding this issue or any other aspect of the project, please feel free to share them. I am always open to feedback and collaboration.

Thank you once again for your dedication and for being an integral part of our project's success.

Best regards, Saman Khamesian

On Sun, Jun 18, 2023 at 12:23 AM WLS2002 @.***> wrote:

Hey there,

I was taking a look at your code in the "neat" package and couldn't help but notice that it's really similar to the stuff in the neat-python GitHub repo (https://github.com/CodeReclaimers/neat-python). But I couldn't find any mention of neat-python in your paper or on the GitHub page for your project.

I totally get that neat-python is under the 3-clause BSD license and anyone can use the code however they like. But it's usually a good move to give a shout-out to the code you've used, especially when it's a big chunk.

Just a suggestion - maybe consider mentioning that you've used some code from neat-python somewhere in your project page or future papers if it indeed was a big help in your work. It could clear up where the code came from and it's a nice nod to the authors of neat-python.

Thanks for considering, and keep up the good work!

Best, wls2002

— Reply to this email directly, view it on GitHub https://github.com/SamanKhamesian/Hybrid-Self-Attention-NEAT/issues/3, or unsubscribe https://github.com/notifications/unsubscribe-auth/AD6OL7XWJTQWIX2VDIJO3W3XLYKLVANCNFSM6AAAAAAZKOBFDI . You are receiving this because you are subscribed to this thread.Message ID: @.***>