Hello Abhinav, the scope of the project looks reasonable to me; if you like you can add one or two layers to the proposal as potential work that can be done if there is time left at the end.
Also in case you haven't seen it we have an application guide: https://github.com/mlpack/mlpack/wiki/Google-Summer-of-Code-Application-Guide that could be helpful. That said, once the GSoC application submission platform is open, you can submit drafts, and we can, if time permits, provide feedback. Thanks, Marcus > On 17. Mar 2021, at 12:42, Abhinav Anand <[email protected]> wrote: > > Hi, I am Abhinav from India. I have been contributing towards mlpack for > quite some time. I am interested in applying for Gsoc this year with mlpack. > I have discussed my idea on Slack and received positive feedback with some > useful suggestions. Keeping in mind of this year shortened Gsoc commitment, I > have reduced my proposal idea to the below three layers: > 1. Upsample Layer > 2. Group Normalization > 3. Channel Shuffle > If you believe that this might be less work for Gsoc, let me know. I have a > couple more good layers that can be included in the proposal. > I have attached my first draft of the proposal, please let me know what you > think. Feel free to give any suggestion. > > Best Regards, > Abhinav > > <mlpack_proposal.pdf>_______________________________________________ > mlpack mailing list > [email protected] > http://knife.lugatgt.org/cgi-bin/mailman/listinfo/mlpack
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