verne.freenode.net changed the topic of #mlpack to: http://www.mlpack.org/ -- We don't respond instantly... but we will respond. Give it a few minutes. Or hours. -- Channel logs: http://www.mlpack.org/irc/
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< zigbee> Hey! I just wanted to know if mlpack is participating in gsoc this year
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< the_curious_boy> I want to know if MLpack is participating in Gsoc this year?
< zoq> the_curious: Hello, we will submit an application.
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< saiprasanth> Hello everyone I'm Prasanth and just came across mlpack. I read it's description,idea list etc. and found it pretty interesting. I have an intermediate knowledge of C++(DS &algos) and know the basics of machine learning. Are these prerequisites sufficient to get started?
< saiprasanth> I find machine learning to be very interesting and am currently in the process of acquiring as much knowledge about it as i can. However i wish to start open source contribution in machine learning as well.
< rcurtin> Hi saiprasanth, have you taken a look at http://www.mlpack.org/involved.html or http://www.mlpack.org/gsoc.html? these pages could be helpful for you
< zoq> saiprasanth: As long as you are willing to learn some new concepts you are good to go.
< saiprasanth> I had a look at both those pages. I particularly found the method-specific tutorials very helpful. I'm currently in the process of building mlpack on my local machine and complete reading the entire tutorial.
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< zoq> sounds good, let us know if you need any help
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< saiprasanth> Are there any beginner exercises? i would like to try and start contributing while i'm reading up.
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< zoq> There are some open issues on github, maybe you find something interesting; we are trying to add more.
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< saiprasanth> If i come across any doubts while solving any issues, am i free to post them over here?
< kaushik_> hi, the architectures listed in the "Essential Deep Learning Modules" idea has to be implemented from scratch? It says that some part of the project is revisiting previous work with modern implementation but I cannot find them in the repo.
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< zoq> saiprasanth: Here or on the issue page.
< saiprasanth> okay,thank you for your time. I'll begin reading the docs and try to start contributing as well.
< zoq> kaushik_: You can reuse some parts like a linear or a conv layer from the existing codebase: https://github.com/mlpack/mlpack/tree/master/src/mlpack/methods/ann
< zoq> kaushik_: especially for GAN that should be helpful
< zoq> saiprasanth: Sounds good, we are here to help :)
< zoq> kaushik_: There is an open PR for a standard GAN implementation (https://github.com/mlpack/mlpack/pull/1066)
< zoq> kaushik_: It's not ready yet, but I think the code could be really helpful.
< kaushik_> zoq: thanks. that should be helpful.
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