Hello Aviral, thanks for getting in touch. Some places to start with mlpack might include:
http://www.mlpack.org/involved.html http://www.mlpack.org/gsoc.html Also, there was a lot of discussion about the PSO project last year (we did not end up accepting a student for that project last year, so it is still open). So searching the mailing list archives for more information would likely be helpful: http://mlpack.org/pipermail/mlpack/ Thanks, Marcus > On 10. Mar 2019, at 23:44, aviral tyagi <[email protected]> wrote: > > Hello everyone, > I am currently pursuing B.Tech/B.E. ( in Computer Science Engineering) from > Jaypee Institute of Information Technology, Noida, India. > I am interested in your GSOC project Particle swarm optimization because it's > similar to my field of interest. I have worked on PSO previously in my > various projects and have good understanding of it's > working. Also my most preferred coding language is c++ so i would really like > to use ML algorithms in c++. > I am currently familiarising myself with the mlpack optimizer AP. Can you > please guide me further. > With regards > Aviral Tyagi > _______________________________________________ > mlpack mailing list > [email protected] > http://knife.lugatgt.org/cgi-bin/mailman/listinfo/mlpack
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