Resources for Machine Learning in Ruby

ml-ruby.md

UPDATE a fork of this gist has been used as a starting point for a community-maintained "awesome" list: machine-learning-with-ruby Please look here for the most up-to-date info!

Resources for Machine Learning in Ruby

Gems

• liblinear-ruby: Ruby interface to LIBLINEAR using SWIG

• classifier-reborn: Bayesian and LSI classification
  dependencies: GSL

• categorize: Categorize is a text categorization library written in Ruby. It prioritizes performance over accuracy and is built to run online in dynamic web services

• decisiontree: ID3-based implementation of the ML Decision Tree algorithm
  dependencies: Graphviz

• similarity: Calculate similarity between documents using TF-IDF weights
  dependencies: GSL

• rb-libsvm: Ruby language bindings for LIBSVM
  dependencies: None (LIBSVM is bundled with the project)

• ruby-fann: Ruby library for interfacing with FANN (Fast Artificial Neural Network)
  dependencies: None (FANN is bundled with the project)

• tlearn-rb: Recurrent Neural Network library for Ruby

• kmeans-clusterer: k-means clustering in Ruby

• k_means: Attempting to build a fast, memory efficient K-Means program

• knn: Simple K Nearest Neighbour Algorithm

• distance_measures: A bunch of distance measures that extend Array

• fast-stemmer: Fast Porter stemmer based on a C version of the algorithm

• statsample: A suite for basic and advanced statistics on Ruby
  dependencies: GSL

• statistics2: Provides normal, Chi-square, t- and F- probability distributions for Ruby

• ruby-graphviz
  dependencies: Graphviz

• gnuplot
  dependencies: Gnuplot

• rb-gsl: Ruby interface to the GNU Scientific Library
  dependencies: GSL

• ruby-opencv: OpenCV wrapper for Ruby
  dependencies: OpenCV

• ai4r: Artificial Intelligence for Ruby - A Ruby playground for AI researchers

• algorithms: Ruby algorithms and data structures. C extensions

• phashion: Ruby wrapper around pHash, the perceptual hash library for detecting duplicate multimedia files
  dependencies: ImageMagick, libjpeg

• narray: Ruby/NArray : N-dimensional Numerical Array for Ruby

• kdtree a blazingly fast, native, 2d kdtree

• rinruby: integrates the R interpreter in Ruby, making R's statistical routines and graphics available within Ruby
  dependencies: R

• octave-ruby A Ruby interface to the Octave interpreted language
  dependencies: Octave

• flann: Fast Library for Approximate Nearest Neighbors dependencies: flann

• NMatrix: Dense and sparse linear algebra library for Ruby via SciRuby

• Cerebrum: Artificial Neural Networks in Ruby

• PCA: Principal component analysis (PCA) in Ruby

• neural-net-ruby: A neural network, written in Ruby

Base dependencies

• GSL (GNU Scientific Library)
  brew install gsl

• OpenCV
  brew tap homebrew/science && brew install opencv

• Graphviz
  brew install graphviz

• Gnuplot
  brew install gnuplot --with-x11

• X11/XQuartz

• ImageMagick && libjpeg
  brew install imagemagick && brew install libjpeg

• R
  brew tap homebrew/science && brew install r

• Octave
  brew tap homebrew/science && brew install octave --without-docs

Heroku buildpacks

• GSL and Ruby buildpack
• OpenCV and Ruby buildpack
• ImageMagick buildpack

Other resources

• scikit-learn algorithm cheatsheet
• Thoughtful Machine Learning: A Test-Driven Approach
• Support Vector Machines (SVM) in Ruby
• Recurrent Neural Networks in Ruby
• Five machine learning techniques that you can use in your Ruby apps today slides

As discussed via email with @gbuesing I forked this Gist and I'm trying to convert it to an Awesome List "Machine Learning with Ruby".
Everybody is welcome to collaborate!
ML with Ruby: https://github.com/arbox/machine-learning-with-ruby