Hello Vamsi, thanks for reaching out. The best way to start/getting involved with mlpack is to read the "contributing to mlpack" (http://www.mlpack.org/involved.html) guide http://mlpack.org/gsoc.html is probably also helpful. It will tell you a lot about the project as well. Please let us know if you have any further questions/problems.
Thanks, Marcus > On 5. Sep 2017, at 02:40, vamsi b <[email protected]> wrote: > > Hey, > I am Vamsi an undergrad student from India studying in Indian Institute of > Technology Indore. I am new to mlpack and machine learning as a whole but am > very excited to learn and contribute to mlpack. I would also like to take > contribute to mlpack as part of GSOC 2018. Any person in this list familiar > with the repository (not necessarily related to GSOC) and willing to help me > out, kindly reply back to me. Any small help is appreciated. > Thanks, > Vamsi Bulusu ([email protected] <mailto:[email protected]>) > _______________________________________________ > mlpack mailing list > [email protected] > http://knife.lugatgt.org/cgi-bin/mailman/listinfo/mlpack
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