josephmisiti/awesome-machine-learning
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@ -5,8 +5,6 @@ A curated list of awesome machine learning frameworks, libraries and software (b
#### Natural Language Processing #### Natural Language Processing
*Libraries for working with human languages.*
* [NLTK](http://www.nltk.org/) - A leading platform for building Python programs to work with human language data. * [NLTK](http://www.nltk.org/) - A leading platform for building Python programs to work with human language data.
* [Pattern](http://www.clips.ua.ac.be/pattern) - A web mining module for the Python programming language. It has tools for natural language processing, machine learning, among others. * [Pattern](http://www.clips.ua.ac.be/pattern) - A web mining module for the Python programming language. It has tools for natural language processing, machine learning, among others.
* [TextBlob](http://textblob.readthedocs.org/) - Providing a consistent API for diving into common natural language processing (NLP) tasks. Stands on the giant shoulders of NLTK and Pattern, and plays nicely with both. * [TextBlob](http://textblob.readthedocs.org/) - Providing a consistent API for diving into common natural language processing (NLP) tasks. Stands on the giant shoulders of NLTK and Pattern, and plays nicely with both.
@ -17,8 +15,6 @@ A curated list of awesome machine learning frameworks, libraries and software (b
#### General-Purpose Machine Learning #### General-Purpose Machine Learning
*Libraries for Machine Learning.*
* [scikit-learn](http://scikit-learn.org/) - A Python module for machine learning built on top of SciPy. * [scikit-learn](http://scikit-learn.org/) - A Python module for machine learning built on top of SciPy.
* [pattern](https://github.com/clips/pattern) - Web mining module for Python. * [pattern](https://github.com/clips/pattern) - Web mining module for Python.
* [NuPIC](https://github.com/numenta/nupic) - Numenta Platform for Intelligent Computing. * [NuPIC](https://github.com/numenta/nupic) - Numenta Platform for Intelligent Computing.
@ -57,8 +53,6 @@ A curated list of awesome machine learning frameworks, libraries and software (b
#### Natural Language Processing #### Natural Language Processing
*Libraries for working with human languages.*
* [Treat](https://github.com/louismullie/treat) - Text REtrieval and Annotation Toolkit, definitely the most comprehensive toolkit I’ve encountered so far for Ruby * [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 * [Ruby Linguistics](http://www.deveiate.org/projects/Linguistics/) - NLTK for Ruby
* [Stemmer](https://github.com/aurelian/ruby-stemmer) * [Stemmer](https://github.com/aurelian/ruby-stemmer)
@ -68,9 +62,18 @@ A curated list of awesome machine learning frameworks, libraries and software (b
#### General-Purpose Machine Learning #### General-Purpose Machine Learning
*Libraries for Machine Learning.* * [Ruby Machine Learning](https://github.com/tsycho/ruby-machine-learning)
* [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)
#### 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)
[scruffy](http://www.rubyinside.com/scruffy-a-beautiful-graphing-toolkit-for-ruby-194.html)
## Scala ## Scala