Merge pull request #53 from davisking/master

Added MITIE and dlib's CV components.
This commit is contained in:
joseph misiti 2014-07-19 08:17:23 -04:00
commit e060777a04

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