There is Incanter for Clojure that is missing. http://incanter.org/
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Machine Learning frameworks, libraries and software
31–39 of 39 posts
Re: Machine Learning frameworks, libraries and software
#32A well maintained library for c# lovers http://accord-framework.net/
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Re: Machine Learning frameworks, libraries and software
#33How about http://h2o.ai/ ?
where does it go ?
Re: Machine Learning frameworks, libraries and software
#34Re: Machine Learning frameworks, libraries and software
#35In what sense is this list "curated?" I'm seriously asking. Have you used all/most of these, and can recommend them?
Re: Machine Learning frameworks, libraries and software
#36Some more for C++:
- TMVA (Toolkit for Multivariate Analysis): Widely used in physics, esp. particle physics. Has every classifier you can think of and the kitchen sink, neural nets, BDTs, support vector machines, fisher discriminants, etc.. You can use it for parameter estimation, classification, discrimination and other use cases. Is closely integrated with the ROOT framework, which has a few quirks and gives it a bit of a learning curve, but once you get into it it's very easy to make a multivariate analysis. Also has bindings for Python. - http://tmva.sourceforge.net/
- NeuroBayes: Heard some good things about it, but havent tested it. Used in finance and particle physics. Commercial, but they have special licenses for research. I heard integration with TMVA is planned. - http://neurobayes.phi-t.de/index.php/public-information
Re: Machine Learning frameworks, libraries and software
#37Some more for C++: - TMVA (Toolkit for Multivariate Analysis): Widely used in physics, esp. particle physics. Has every classifier you can think of and the kitchen sink, neural nets, BDTs, support vector machines, fisher discriminants, etc.. You can use it for parameter estimation, classification, discrimination and other use cases. Is closely integrated with the ROOT framework, which has a few quirks and gives it a…
There is a NeuroBayes plugin for TMVA. I've put it on Github with some additional patches: https://github.com/sroecker/tmva-neurobayes
Re: Machine Learning frameworks, libraries and software
#38Re: Machine Learning frameworks, libraries and software
#39Earlier quoted context omitted.
How do you feel about LGPL?
LGPL is a borderline case. On one hand, it doesn't force itself onto all of your software. On the other hand, it contains the same patent claim landmine that the GPL does and that landmine is considered to be dangerous by many lawyers (GPLv2 Section 7, LGPLv2 Section 11). So, in practical terms, it depends on who my current client/employer/investor is. Myself, I'd rather not use any LGPLd libraries.
I just wanted to point out that downvoting what you disagree with is… well, let's just say it's not the right way to use HN.
My comment was precise, informative, in reply to a question that was asked of me, based on a number of legal opinions and more years of experience than many people here write into the "age" field on forms.