Resources for Machine Learning in Ruby
===

Gems
---

* rb-gsl  
Ruby interface to the GNU Scientific Library  
https://github.com/blackwinter/rb-gsl  
dependencies: GSL

* ruby-opencv  
OpenCV wrapper for Ruby  
https://github.com/ruby-opencv/ruby-opencv/  
dependencies: OpenCV

* classifier-reborn  
Bayesian and LSI classification  
https://github.com/jekyll/classifier-reborn  
dependencies: GSL

* decisiontree  
ID3-based implementation of the ML Decision Tree algorithm  
https://github.com/igrigorik/decisiontree  
dependencies: Graphviz

* similarity  
Calculate similarity between documents using TF-IDF weights  
https://github.com/bbcrd/Similarity  
dependencies: GSL

* rb-libsvm  
Ruby language bindings for LIBSVM  
https://github.com/febeling/rb-libsvm  
dependencies: None (LIBSVM is bundled with the project)

* ruby-fann  
Ruby library for interfacing with FANN (Fast Artificial Neural Network)  
https://github.com/tangledpath/ruby-fann  
dependencies: None (FANN is bundled with the project)

* tlearn-rb  
Recurrent Neural Network library for Ruby  
https://github.com/josephwilk/tlearn-rb  
http://blog.josephwilk.net/ruby/recurrent-neural-networks-in-ruby.html

* k_means  
Attempting to build a fast, memory efficient K-Means program  
https://github.com/reddavis/K-Means

* knn  
Simple K Nearest Neighbour Algorithm  
https://github.com/reddavis/knn

* distance_measures  
A bunch of distance measures that extend Array  
https://github.com/reddavis/Distance-Measures

* fast-stemmer  
Fast Porter stemmer based on a C version of the algorithm  
https://github.com/romanbsd/fast-stemmer

* statsample  
A suite for basic and advanced statistics on Ruby  
https://github.com/clbustos/statsample
dependencies: GSL

* statistics2  
Provides normal, Chi-square, t- and F- probability distributions for Ruby  
https://github.com/abscondment/statistics2

* ruby-graphviz  
https://github.com/glejeune/Ruby-Graphviz  
dependencies: Graphviz

* rbgnuplot  
https://github.com/rdp/ruby_gnuplot/tree/master  
dependencies: Gnuplot


Base libraries
---

* GSL (GNU Scientific Library)  
http://www.gnu.org/software/gsl/  
```brew install gsl```

* OpenCV  
http://opencv.org/  
```brew tap homebrew/science  
brew install opencv```

* Graphviz  
http://www.graphviz.org/  
```brew install graphviz```

* Gnuplot  
http://www.gnuplot.info/  
```brew install gnuplot```


Heroku buildpacks
---

* GSL and Ruby buildpack  
https://github.com/tomwolfe/heroku-buildpack-gsl-ruby

* OpenCV and Ruby buildpack  
https://github.com/lilibethdlc/heroku-buildpack-ruby-opencv