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Interesting examples to add to this repo.
Hey everyone,
I am suggesting a list of examples that might be fun to add to this repo :
~1. SRGAN and maybe ESRGAN.~ 2. DCGAN on CelebA(This is currently implemented as a test in mlpack). 3. Examples on text classification (I am currently working on this in my spare time (time aside from my WIP PRs)).
I hope that they will make nice additions to this repo. Let me know what you think. Thanks a ton!
Nice idea! However we do not have GPU support and training times for the SRGAN might be very long.
However we do not have GPU support and training times for the SRGAN might be very long.
Ahh, I understand. Maybe DCGAN example still be implemented and once bandicoot is available someone can add DCGAN as well.
@kartikdutt18, I would be very happy if you add a simple example that shows how we can use LeNet classes when your pull request https://github.com/mlpack/models/pull/3 get merged of course.
What do you think?
What do you think?
Sure, that would be great. I think it's near completion hopefully, it gets merged this week.
This issue has been automatically marked as stale because it has not had any recent activity. It will be closed in 7 days if no further activity occurs. Thank you for your contributions! :+1:
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This issue has been automatically marked as stale because it has not had any recent activity. It will be closed in 7 days if no further activity occurs. Thank you for your contributions! :+1:
Hey @kartikdutt18 ! I recently opened a PR on generating hand written digits using Standard GAN. I could work on DCGAN for CelebA, if it hasn't been done/assigned already.
Hey @hello-fri-end, Feel free to do so. Also If I remember correctly, the code for this is currently available as comments in mlpack tests.
Hey @kartikdutt18, where can I find CelebA dataset in .csv format? I could only find .png or .jpg files online. Is there a way to load image data into an armadillo matrix, i couldn't find anything in the documentation..
Hello mlpack community, I would like to add an example multiple disease prediction system, currently the examples in repository are single disease based.
