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@ -20,6 +20,8 @@ If you want to contribute to this list (please do), send me a pull request or co
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* [sofia-ml](https://code.google.com/p/sofia-ml/) - Suite of fast incremental algorithms.
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* [sofia-ml](https://code.google.com/p/sofia-ml/) - Suite of fast incremental algorithms.
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#### Neural Nets
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#### Neural Nets
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=======
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* [Caffe](http://caffe.berkeleyvision.org) - A deep learning framework developed with cleanliness, readability, and speed in mind.
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* [Caffe](caffe.berkeleyvision.org)
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* [Caffe](caffe.berkeleyvision.org)
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* [LibSVM](http://www.csie.ntu.edu.tw/~cjlin/libsvm/#matlab) - A Library for Support Vector Machines
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* [LibSVM](http://www.csie.ntu.edu.tw/~cjlin/libsvm/#matlab) - A Library for Support Vector Machines
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* [LibLinear](http://www.csie.ntu.edu.tw/~cjlin/liblinear/#download) - A Library for Large Linear Classification
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* [LibLinear](http://www.csie.ntu.edu.tw/~cjlin/liblinear/#download) - A Library for Large Linear Classification
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* [Machine Learning Module](https://github.com/josephmisiti/machine-learning-module) - Class on machine w/ PDF,lectures,code
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* [Machine Learning Module](https://github.com/josephmisiti/machine-learning-module) - Class on machine w/ PDF,lectures,code
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* [Caffe](http://caffe.berkeleyvision.org) - A deep learning framework developed with cleanliness, readability, and speed in mind.
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#### Data Analysis / Data Visualization
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#### Data Analysis / Data Visualization
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* [nilearn](https://github.com/nilearn/nilearn) - Machine learning for NeuroImaging in Python
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* [nilearn](https://github.com/nilearn/nilearn) - Machine learning for NeuroImaging in Python
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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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* [Pyevolve](https://github.com/perone/Pyevolve) - Genetic algorithm framework.
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* [Pyevolve](https://github.com/perone/Pyevolve) - Genetic algorithm framework.
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* [Caffe](http://caffe.berkeleyvision.org) - A deep learning framework developed with cleanliness, readability, and speed in mind.
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#### Data Analysis / Data Visualization
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#### Data Analysis / Data Visualization
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