ChanServ changed the topic of #mlpack to: "mlpack: a fast, flexible machine learning library :: We don't always respond instantly, but we will respond; please be patient :: Logs at http://www.mlpack.org/irc/
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< rcurtin>
just noticed that we failed to properly do alphabetical author ordering for the mlpack 3 paper... oops
< rcurtin>
I think that's my error... not sure how I screwed that one up :)
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< shardulparab97>
Hi! I had a doubt regarding the GSoC project regarding implementation of deep learning modules - I wanted to ask whether it is expected to work on all the said models ls or pick up one of them and take it further
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< zoq>
shardulparab97: Thanks for reaching out, my recommondation is to focus on one maybe two (depending on the model). Also the models listed are just ideas, you are welcome to propose anything else.
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< Gaurav_>
I am new to mlpack and i wish to take on some projects for gsoc this year. Can someone please guide me...
< Gaurav_>
@zoq I have read everything on the site (including the links that you sent), but I have no idea where to start.
< Gaurav_>
Can you suggest me some easy issues/tasks/bugs to start with?
< zoq>
Gaurav_: My recommendation is to build mlpack and run some tests, the tutorials should be helpful here. Afterwards, you can take a look at the Github issues, maybe you find something interesting, you can also see if you find something you like to improve or extend.
< Gaurav_>
Ok, thank you! :)
< zoq>
Let me know if I should clarify anything.
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