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@ -745,7 +745,6 @@ Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
*Libraries for Machine Learning. See: [awesome-machine-learning](https://github.com/josephmisiti/awesome-machine-learning#python).* *Libraries for Machine Learning. See: [awesome-machine-learning](https://github.com/josephmisiti/awesome-machine-learning#python).*
* [gensim](https://github.com/RaRe-Technologies/gensim) - Topic Modelling for Humans.
* [Metrics](https://github.com/dmlc/xgboost) - Machine learning evaluation metrics. * [Metrics](https://github.com/dmlc/xgboost) - Machine learning evaluation metrics.
* [NuPIC](https://github.com/numenta/nupic) - Numenta Platform for Intelligent Computing. * [NuPIC](https://github.com/numenta/nupic) - Numenta Platform for Intelligent Computing.
* [scikit-learn](http://scikit-learn.org/) - The most popular Python library for Machine Learning. * [scikit-learn](http://scikit-learn.org/) - The most popular Python library for Machine Learning.
@ -757,11 +756,9 @@ Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
*Frameworks and libraries for MapReduce.* *Frameworks and libraries for MapReduce.*
* [dpark](https://github.com/douban/dpark) - Python clone of Spark, a MapReduce alike framework in Python. * [PySpark](https://pypi.python.org/pypi/pyspark/) - Apache Spark Python API.
* [dumbo](https://github.com/klbostee/dumbo) - Python module that allows one to easily write and run Hadoop programs.
* [luigi](https://github.com/spotify/luigi) - A module that helps you build complex pipelines of batch jobs. * [luigi](https://github.com/spotify/luigi) - A module that helps you build complex pipelines of batch jobs.
* [mrjob](https://github.com/Yelp/mrjob) - Run MapReduce jobs on Hadoop or Amazon Web Services. * [mrjob](https://github.com/Yelp/mrjob) - Run MapReduce jobs on Hadoop or Amazon Web Services.
* [PySpark](http://spark.apache.org/docs/latest/programming-guide.html) - The Spark Python API.
* [streamparse](https://github.com/Parsely/streamparse) - Run Python code against real-time streams of data. Integrates with [Apache Storm](http://storm.apache.org/). * [streamparse](https://github.com/Parsely/streamparse) - Run Python code against real-time streams of data. Integrates with [Apache Storm](http://storm.apache.org/).
## Microsoft Windows ## Microsoft Windows
@ -788,6 +785,7 @@ Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
*Libraries for working with human languages.* *Libraries for working with human languages.*
* [gensim](https://github.com/RaRe-Technologies/gensim) - Topic Modelling for Humans.
* [Jieba](https://github.com/fxsjy/jieba) - Chinese text segmentation. * [Jieba](https://github.com/fxsjy/jieba) - Chinese text segmentation.
* [langid.py](https://github.com/saffsd/langid.py) - Stand-alone language identification system. * [langid.py](https://github.com/saffsd/langid.py) - Stand-alone language identification system.
* [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.
@ -795,7 +793,6 @@ Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
* [SnowNLP](https://github.com/isnowfy/snownlp) - A library for processing Chinese text. * [SnowNLP](https://github.com/isnowfy/snownlp) - A library for processing Chinese text.
* [spaCy](https://spacy.io/) - A library for industrial-strength natural language processing in Python and Cython. * [spaCy](https://spacy.io/) - A library for industrial-strength natural language processing in Python and Cython.
* [TextBlob](https://github.com/sloria/TextBlob) - Providing a consistent API for diving into common NLP tasks. * [TextBlob](https://github.com/sloria/TextBlob) - Providing a consistent API for diving into common NLP tasks.
* [TextGrocery](https://github.com/2shou/TextGrocery) - A simple, efficient short-text classification tool based on LibLinear and Jieba.
## Network Virtualization ## Network Virtualization