About the informal weekly meeting, should we schedule something, maybe for the end of the week?
> On 8. Nov 2019, at 00:10, Ryan Curtin <[email protected]> wrote: > > On Thu, Nov 07, 2019 at 01:37:16PM -0500, Marcus Edel wrote: >> Hello, >> >>> mlpack video meetings: >> >> What about we create a shared document (e.g. google docs) and use that to >> manage >> the meetings, if someone has a particular question or topic they like to >> discuss >> they can write it down before the meeting. This allows us to prepare for >> certain >> topics. We can also keep track of what was discussed in the meetings. > > That sounds good to me if you want to set it up; alternately we can just > send an email to the list beforehand and people could respond to it with > ideas. Either is fine honestly. > >>> giving talks on mlpack: >>> >>> mlpack talks/workshops - this is a very good point. I've been doing some of >>> this >>> and it really pays off. The amount of user conversion you get by doing this >>> is >>> superior to opportunistic discoveries of the library. And I truly believe we >>> need more users and more engagement. After all, that's why we build mlpack, >>> right? I would add that we also need talks and workshops that are *not* >>> super >>> technical. For new users (consumers of the library I mean), metaprogramming >>> is >>> not really attractive. Instead, these users are looking forward a >>> simple-useful-easy "Hello World" that delivers instantaneous value. Take a >>> look >>> at scikit-learn for instance, it's all about examples and ready to consume >>> snippets. >> >> Agreed, maybe we can put a list together with events (local/global) as a >> starting point. > > Sounds good---I'll see if I can compile a list of events I'm interested > in in the near future and we can share it here or somewhere. > >>> C++ notebooks: >> >> I have a setup running that I can make accessible, Sylvain used Binder, which >> has some limitations like 1-2GB of memory, kernel shutdown after 10 minutes >> of >> inactivity. If I'm thinking about running neural network examples, we might >> run >> into the mentioned limitations. > > Sounds good---we can also use some of mlpack.org's resources for this, > and NumFOCUS might be able to help with the resources also via > connections to large companies or something? I'm not sure. > > -- > Ryan Curtin | "Wha' happened?" > [email protected] | - Mike LaFontaine _______________________________________________ mlpack mailing list [email protected] http://knife.lugatgt.org/cgi-bin/mailman/listinfo/mlpack
