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README.md
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README.md
@ -48,6 +48,16 @@ A curated list of awesome machine learning frameworks, libraries and software (b
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* [Kartograph.py](https://github.com/kartograph/kartograph.py) - Rendering beautiful SVG maps in Python.
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* [pygal](http://pygal.org/) - A Python SVG Charts Creator.
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#### Misc Scripts / iPython Notebooks
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* [pattern_classification](https://github.com/rasbt/pattern_classification)
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* [thinking stats 2](https://github.com/Wavelets/ThinkStats2)
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* [hyperopt](https://github.com/hyperopt/hyperopt-sklearn)
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* [numpic](https://github.com/numenta/nupic)
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* [2012-paper-diginorm](https://github.com/ged-lab/2012-paper-diginorm)
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* [ipython-notebooks](https://github.com/ogrisel/notebooks)
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* []
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## Ruby
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## Scala
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#### Natural Language Processing
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* TODO
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#### Data Analysis / Data Visualization
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* TODO
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#### General-Purpose Machine Learning
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* [Conjecture](https://github.com/etsy/Conjecture)
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## Java
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## Go
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#### Natural Language Processing
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* TODO
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#### General-Purpose Machine Learning
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* [Go Learn](https://github.com/sjwhitworth/golearn)
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#### Data Analysis / Data Visualization
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* TODO
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## R
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#### Natural Language Processing
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* TODO
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#### General-Purpose Machine Learning
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* TODO
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#### Data Analysis / Data Visualization
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* TODO
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## Matlab
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#### Natural Language Processing
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* TODO
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#### General-Purpose Machine Learning
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* TODO
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#### Data Analysis / Data Visualization
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* TODO
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## Julia
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#### Natural Language Processing
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* TODO
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#### General-Purpose Machine Learning
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* TODO
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#### Data Analysis / Data Visualization
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* TODO
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#### Misc Scripts + Presentations
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* [JuliaCon Presentations](https://github.com/JuliaCon/presentations)
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## Credits
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