Hey Roshan, Thanks for your interest! Sorry I was not able to get back to until now. I took a look through your proposal yesterday and left some comments---hopefully they are helpful!
I will say, the project is pretty open-ended. So it is up to you which examples you think would be interesting or effective to add. Hope that helps! Thanks, Ryan On Fri, Apr 02, 2021 at 12:02:16PM +0530, Roshan Swain wrote: > Hello Sirs, > Good Day! I am planning on applying for "Example zoo" for this GSoC. > > As I am machine learning practitioner, it will be very interesting and > helpful for me in the same way to implement various machine learning > algorithms and see how they perform. > > So it will be very helpful if you can advice me a little on how this > project direction should go[ I don't want to deviate from the vision of > this project]. > > Let me breakdown what I understand: > 1. Implementing ML models on different datasets in form of jupyter > notebook or code, in short a sort of tutorial to showcase our library and > its usage. > > 2. Having code snippets which we can add in documentation/blog of those > algorithms, so that newcomer has an easy idea on how to use it or just copy > the code and use it in their project. > > 3.Having interesting pictures or diagrams explaining the algorithm. > > 4. Visualization of metrics and losses. > > > @Ryan Curtin @zoq I read the future of mlpack and I think there was mention > about this project as one of key part. I think I can contribute a part > here, so it will be very helpful if you can guide me how this should go. > This will be my first GSoC and it will be very helpful to get a word of > mouth. > > P.S.: I read the details on the project on GSoC page of our organization, > but still wanted to discuss in depth on this project. > > Regards > Roshan Swain > @swaingotnochill > _______________________________________________ > mlpack mailing list > [email protected] > http://knife.lugatgt.org/cgi-bin/mailman/listinfo/mlpack -- Ryan Curtin | "In that case... create your own door." [email protected] | - Pan _______________________________________________ mlpack mailing list [email protected] http://knife.lugatgt.org/cgi-bin/mailman/listinfo/mlpack
