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Machine Learning frameworks, libraries and software
- CSDude 12y agoWeka should be there, it has so many useful tools included and I took a graduate machine learning course and used weka API for its project and it saved me lot of time. Highly recommended.
- misiti3780 12y agoadded
- RussianCow 12y agoI'm surprised at the lack of tools for Java. Do Java developers really not do machine learning? Or is this resource missing some libraries?
- misiti3780 12y agoit's definitely missing some libraries. with that said, if you are doing any type of distributed machine learning, you almost have to use java via mahout.
- hnriot 12y agothe scala libraries like Factorie work just fine from java.
- pickle27 12y agohttp://www.shogun-toolbox.org/ http://www.shogun-toolbox.org/ has a lot of algorithms, is super fast and has bindings for many languages, check it out!
- misiti3780 12y agoadded!
- kovrik 12y agoPlease, add Clojure and it's libs (see http://www.clojure-toolbox.com http://www.clojure-toolbox.com). And sort languages alphabetically, please.
- misiti3780 12y agofixed
- kovrik 12y agocloJure, not cloSure. Also, I thought you would add all Machine Learning libs, not just link to the Clojure Toolbox.
- misiti3780 12y agofixed
- orasis 12y agoFor Javascript Bayesian Bandits/Thompson Sampling - https://github.com/omphalos/bayesian-bandit.js https://github.com/omphalos/bayesian-bandit.js
- misiti3780 12y agoadded
- tomaskazemekas 12y agoI suggest adding Torch. http://torch.ch/ http://torch.ch/ It is a scientific ML framework written in LuaJIT. Recently it was recommended by Yann LeCun, Director of AI in Facebook. http://www.reddit.com/r/MachineLearning/comments/25lnbt/ama_yann_lecun/chisdw1 http://www.reddit.com/r/MachineLearning/comments/25lnbt/ama_...
- alsocasey 12y agoThe R portion needs some serious filling - for starters: you include the Julia wrapper to glmnet, which was originally implemented in R. glmnet - lasso/ridge/elastic net glm models. e1071 - SVM classifiers. randomForest - random forest classifiers. mixOmics - a good collection of component-based approaches (PCA, ICA, PLS, etc. includes sparse variants of all of the above is feature selection is required). caret - similar to Java's Weka.
- mbq 12y agoOr simply a link to the ML CRAN Task View: http://cran.r-project.org/web/views/MachineLearning.html http://cran.r-project.org/web/views/MachineLearning.html
- silentrob 12y agoJavascript is missing a few NLP tools POS - https://github.com/dariusk/pos-js https://github.com/dariusk/pos-js and Node Natural - https://github.com/NaturalNode/natural https://github.com/NaturalNode/natural
- misiti3780 12y agoadded
- platz 12y agoHow about http://h2o.ai/ http://h2o.ai/ ?
- misiti3780 12y agowhere does it go ?
- platz 12y agoIt goes to "The Open Source In-Memory Prediction Engine for Big Data Science"
- penetrarthur 12y agoA well maintained library for c# lovers http://accord-framework.net/ http://accord-framework.net/
- misiti3780 12y agoadded
- jwr 12y agoA nice list! But this would be significantly more useful if it included project licensing information. In my case, any library licensed under the GPL is automatically excluded from consideration, so this is a significant factor. I'd rather not spend any time on those.
- Radim 12y agoHow do you feel about LGPL?
- jwr 12y agoLGPL 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.
- jwr 12y agoI 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.
- S4M 12y agoThere is Incanter for Clojure that is missing. http://incanter.org/ http://incanter.org/
- misiti3780 12y agoadded
- tbueno 12y agoWhy do people keep complaining about the content or giving suggestions here? I'm pretty sure the original list was created on Github exactly to encourage contributions (push requests).
- micro_cam 12y agoI have a pretty good decision/tree random forest library for go: https://github.com/ryanbressler/CloudForest https://github.com/ryanbressler/CloudForest
- misiti3780 12y agoadded
- elliptic 12y agoIn what sense is this list "curated?" I'm seriously asking. Have you used all/most of these, and can recommend them?
- Rickasaurus 12y agoI wish they'd list the license next to each of the projects so I can avoid those that are work unfriendly.
- davidy123 12y agoAnother huge ecosystem of Java tools is http://gate.ac.uk/ http://gate.ac.uk/
- bch 12y agotypo: Julia -> General Purpose ... Kernal Density - Kernel density estimators for julia
- captainmuon 12y agoSome 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/ 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 http://neurobayes.phi-t.de/index.php/public-information
- sroecker 12y agoThere is a NeuroBayes plugin for TMVA. I've put it on Github with some additional patches: https://github.com/sroecker/tmva-neurobayes https://github.com/sroecker/tmva-neurobayes