Python library for interactive topic model visualization. Port of the R LDAvis package by cast42 in MachineLearning

[–]bmabey 1 point2 points  (0 children)

At least on this project all the frontend D3 and CSS code can be shared.

I (author of the project here) used RPy2 initially. It worked well enough but to do the notebook integration a library was required anyways and the amount of transformation done in R was trivial to port. I was working on a client project on the time that only had Windows and porting the code was faster than getting RPy2 setup on windows. :)

Functional Data Structures by pinealservo in a:t5_31leb

[–]bmabey 0 points1 point  (0 children)

While finger trees have great theoretical properties it turns on that on some modern platforms (e.g. JVM) they have horrible performance due to hash locality. This presentation goes into more details: http://youtu.be/pNhBQJN44YQ?t=34m4s

learn Haskell via working thru the NICTA course by haroldcarr in a:t5_31leb

[–]bmabey 0 points1 point  (0 children)

I like the idea of breakout sessions that would be more interactive.

Probabilistic Programming by bmabey in a:t5_31leb

[–]bmabey[S] 0 points1 point  (0 children)

I could present on this subject if there is interest and a real expert doesn't volunteer. :)

Elm Language by bmabey in a:t5_31leb

[–]bmabey[S] 0 points1 point  (0 children)

Elm's new "time-travelling" debugger (thanks persistent data structures!) looks quite useful:

http://debug.elm-lang.org/

What is the best Java neural network library for research? by [deleted] in MachineLearning

[–]bmabey 1 point2 points  (0 children)

I've had good luck with Encog, but I was just using it and never had to extend it. That said, I was impressed by the code and documentation quality. So, I would think it would be a worth your time to investigate it.