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Merge pull request #53 from davisking/master
Added MITIE and dlib's CV components.
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@ -20,12 +20,12 @@ For a list of free machine learning books available for download, go [here](http
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#### Computer Vision
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#### Computer Vision
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* [OpenCV](http://opencv.org) - OpenCV has C++, C, Python, Java and MATLAB interfaces and supports Windows, Linux, Android and Mac OS.
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* [OpenCV](http://opencv.org) - OpenCV has C++, C, Python, Java and MATLAB interfaces and supports Windows, Linux, Android and Mac OS.
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* [DLib](http://dlib.net/imaging.html) - DLib has C++ and Python interfaces for face detection and training general object detectors.
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#### General-Purpose Machine Learning
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#### General-Purpose Machine Learning
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* [MLPack](http://www.mlpack.org/)
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* [MLPack](http://www.mlpack.org/)
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* [DLib](http://dlib.net/ml.html)
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* [DLib](http://dlib.net/ml.html) - A suite of ML tools designed to be easy to imbed in other applications
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* [ecogg](https://code.google.com/p/encog-cpp/)
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* [ecogg](https://code.google.com/p/encog-cpp/)
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* [shark](http://image.diku.dk/shark/sphinx_pages/build/html/index.html)
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* [shark](http://image.diku.dk/shark/sphinx_pages/build/html/index.html)
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* [Vowpal Wabbit (VW)](https://github.com/JohnLangford/vowpal_wabbit/wiki) - A fast out-of-core learning system.
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* [Vowpal Wabbit (VW)](https://github.com/JohnLangford/vowpal_wabbit/wiki) - A fast out-of-core learning system.
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@ -33,7 +33,10 @@ For a list of free machine learning books available for download, go [here](http
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* [Shogun](https://github.com/shogun-toolbox/shogun) - The Shogun Machine Learning Toolbox
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* [Shogun](https://github.com/shogun-toolbox/shogun) - The Shogun Machine Learning Toolbox
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* [Caffe](http://caffe.berkeleyvision.org) - A deep learning framework developed with cleanliness, readability, and speed in mind. [DEEP LEARNING]
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* [Caffe](http://caffe.berkeleyvision.org) - A deep learning framework developed with cleanliness, readability, and speed in mind. [DEEP LEARNING]
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* [CUDA](https://code.google.com/p/cuda-convnet/) - This is a fast C++/CUDA implementation of convolutional [DEEP LEARNING]
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* [CUDA](https://code.google.com/p/cuda-convnet/) - This is a fast C++/CUDA implementation of convolutional [DEEP LEARNING]
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#### Natural Language Processing
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* [MIT Information Extraction Toolkit](https://github.com/mit-nlp/MITIE) - C, C++, and Python tools for named entity recognition and relation extraction
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## Clojure
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## Clojure
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#### Natural Language Processing
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#### Natural Language Processing
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