[mlpack] Fwd: (no subject)

Hi Ryan/Marcus, Just saw 2017s work on parallelisation by Shikhar Bhardwaj. https://www.mlpack.org/gsocblog/profiling-for-parallelization-and-parallel-stochastic-optimization-methods-summary.html Impressive work he has done. Excellent documentation I must say. - In this

[mlpack] (no subject)

Dear mentors, I submitted my draft proposal for Essential Deep Learning Modules around a week ago, but didn't receive any feedback. As the deadline is coming, I would be very grateful if you could give some comments on it for me to take it into account before the final deadline. Thank you. --

Re: [mlpack] Regarding GSoC'20 Project as well as Proposal

You can contact mentors on this mailing list or the IRC (sorry for the previous mail, forgot to hit Reply All) On Fri, Mar 27, 2020, 10:26 PM Garv Tambi wrote: > Hello Mentors, > After reading many articles and Research paper and understanding the > mlpack codebase, I proposed my own Idea and

Re: [mlpack] GSoC 2020 Ideas

Hello, Thank you for the feedback. I submitted a draft proposal based on it. Best, Andrei On Sat, Mar 21, 2020, 00:43 Marcus Edel wrote: > Hello Andrei, > > thanks for the update, I don't have anything to add, sounds totally > reasonable > to me. As an overall timeline, this could definitely

[mlpack] Regarding GSoC'20 Project as well as Proposal

Hello Mentors, After reading many articles and Research paper and understanding the mlpack codebase, I proposed my own Idea and completed my GSoC Proposal with my Best!! and submitted to the GSoC website. Can anyone please guide me how I contact the mentors... It would be a great help for me...