Re: [Scikit-learn-general] [Matplotlib-users] Scipy2016: call for proposals

2016-03-10 Thread Sebastian Raschka
Sure, I’d be all in! That’s actually perfect timing; I was just about to prepare my proposal for a CompBio talk at SciPy (talking about my large-scale virtual screening framework, where I also use ML for predictive modeling of chemical groups in target molecules), but yeah, I’d rather like to ta

Re: [Scikit-learn-general] [Matplotlib-users] Scipy2016: call for proposals

2016-03-10 Thread Andreas Mueller
Sebastian: looks like it will be on us ;) Can you maybe have a look at last year's material? I'm about to read your book the next couple of days ;) Sent from phone. Please excuse spelling and brevity. On Feb 22, 2016 12:20, "Sebastian Raschka" wrote: > After missing all the fun last year, I am a

Re: [Scikit-learn-general] deep belief network contribution to scikit-learn

2016-03-10 Thread Andy
Hi Albert. This is best discussed on the mailing list (cc). I'm not sure adding deep belief networks is currently within the scope of the project. I haven't heard of real-world applications in a while, and we generally want to keep the deep learning small, as we have no GPU support and there are

Re: [Scikit-learn-general] scikit-learn in Julia

2016-03-10 Thread Cedric St-Jean
Here is a list of Julia packages that reference other work and start with A: AWS.jl, AWSEC2.jl, Accumulo.jl, AmplNLWriter.jl, AppleAccelerate.jl, ArcadeLearningEnvironment.jl, Arduino.jl, Atom.jl, Augur.jl Full listing here: http://pkg.julialang.org/ I'm sure that some of these will get C&D lett