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A curated list of awesome machine learning frameworks, libraries and software (by language). Inspired by awesome-php.
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## Python
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### Natural Language Processing
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*Libraries for working with human languages.*
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* [NLTK](http://www.nltk.org/) - A leading platform for building Python programs to work with human language data.
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* [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.
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* [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.
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* [jieba](https://github.com/fxsjy/jieba#jieba-1) - Chinese Words Segementation Utilities.
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* [SnowNLP](https://github.com/isnowfy/snownlp) - A library for processing Chinese text.
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* [loso](https://github.com/victorlin/loso) - Another Chinese segmentation library.
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* [genius](https://github.com/duanhongyi/genius) - A Chinese segment base on Conditional Random Field.
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## Ruby
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## Scala
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## Java
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## Go
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## R
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## Julia
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