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@ -66,26 +66,26 @@ If you want to contribute to this list, send me a pull request or contact me [@j
#### Natural Language Processing
* [Treat](https://github.com/louismullie/treat) - Text REtrieval and Annotation Toolkit, definitely the most comprehensive toolkit I’ve encountered so far for Ruby
* [Ruby Linguistics](http://www.deveiate.org/projects/Linguistics/) - NLTK for Ruby
* [Stemmer](https://github.com/aurelian/ruby-stemmer)
* [Ruby Wordnet](http://www.deveiate.org/projects/Ruby-WordNet/)
* [Raspel](http://sourceforge.net/projects/raspell/)
* [UEA Stemmer](https://github.com/ealdent/uea-stemmer)
* [Twitter-text-rb](https://github.com/twitter/twitter-text-rb)
* [Ruby Linguistics](http://www.deveiate.org/projects/Linguistics/) - Linguistics is a framework for building linguistic utilities for Ruby objects in any language. It includes a generic language-independant front end, a module for mapping language codes into language names, and a module which contains various English-language utilities.
* [Stemmer](https://github.com/aurelian/ruby-stemmer) - Expose libstemmer_c to Ruby
* [Ruby Wordnet](http://www.deveiate.org/projects/Ruby-WordNet/) - This library is a Ruby interface to WordNet
* [Raspel](http://sourceforge.net/projects/raspell/) - raspell is an interface binding for ruby
* [UEA Stemmer](https://github.com/ealdent/uea-stemmer) - Ruby port of UEALite Stemmer - a conservative stemmer for search and indexing
* [Twitter-text-rb](https://github.com/twitter/twitter-text-rb) - A library that does auto linking and extraction of usernames, lists and hashtags in tweets
#### General-Purpose Machine Learning
* [Ruby Machine Learning](https://github.com/tsycho/ruby-machine-learning)
* [Ruby Machine Learning](https://github.com/tsycho/ruby-machine-learning) - Some Machine Learning algorithms, implemented in Ruby
* [Machine Learning Ruby](https://github.com/mizoR/machine-learning-ruby)
* [jRuby Mahout](https://github.com/vasinov/jruby_mahout)
* [CardMagic-Classifier](https://github.com/cardmagic/classifier)
* [jRuby Mahout](https://github.com/vasinov/jruby_mahout) - JRuby Mahout is a gem that unleashes the power of Apache Mahout in the world of JRuby.
* [CardMagic-Classifier](https://github.com/cardmagic/classifier) - A general classifier module to allow Bayesian and other types of classifications.
#### Data Analysis / Data Visualization
* [rsruby](https://github.com/alexgutteridge/rsruby)
* [data-visualization-ruby](https://github.com/chrislo/data_visualisation_ruby)
* [ruby-plot](https://www.ruby-toolbox.com/projects/ruby-plot)
* [plot-rb](https://github.com/zuhao/plotrb)
* [rsruby](https://github.com/alexgutteridge/rsruby) - Ruby - R bridge
* [data-visualization-ruby](https://github.com/chrislo/data_visualisation_ruby) - Source code and supporting content for my Ruby Manor presentation on Data Visualisation with Ruby
* [ruby-plot](https://www.ruby-toolbox.com/projects/ruby-plot) - gnuplot wrapper for ruby, especially for plotting roc curves into svg files
* [plot-rb](https://github.com/zuhao/plotrb) - A plotting library in Ruby built on top of Vega and D3.
* [scruffy](http://www.rubyinside.com/scruffy-a-beautiful-graphing-toolkit-for-ruby-194.html)
* [SciRuby](http://sciruby.com/)
* [Glean](https://github.com/glean/glean) - A data management tool for humans
@ -101,6 +101,11 @@ If you want to contribute to this list, send me a pull request or contact me [@j
#### General-Purpose Machine Learning
* [Clever Algorithms For Machine Learning](https://github.com/jbrownlee/CleverAlgorithmsMachineLearning)
* [Machine Learning For Hackers](https://github.com/johnmyleswhite/ML_for_Hackers)
#### Data Analysis / Data Visualization
* [Learning Statistics Using R](http://health.adelaide.edu.au/psychology/ccs/teaching/lsr/)
## Javascript