josephmisiti/awesome-machine-learning
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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
* [sofia-ml](https://code.google.com/p/sofia-ml/) - Suite of fast incremental algorithms.
#### Neural Nets
=======
* [Caffe](http://caffe.berkeleyvision.org) - A deep learning framework developed with cleanliness, readability, and speed in mind.
* [Caffe](caffe.berkeleyvision.org)
@ -198,6 +200,7 @@ on MNIST digits[DEEP LEARNING]
* [LibSVM](http://www.csie.ntu.edu.tw/~cjlin/libsvm/#matlab) - A Library for Support Vector Machines
* [LibLinear](http://www.csie.ntu.edu.tw/~cjlin/liblinear/#download) - A Library for Large Linear Classification
* [Machine Learning Module](https://github.com/josephmisiti/machine-learning-module) - Class on machine w/ PDF,lectures,code
* [Caffe](http://caffe.berkeleyvision.org) - A deep learning framework developed with cleanliness, readability, and speed in mind.
#### Data Analysis / Data Visualization
@ -240,6 +243,7 @@ on MNIST digits[DEEP LEARNING]
* [nilearn](https://github.com/nilearn/nilearn) - Machine learning for NeuroImaging in Python
* [Shogun](https://github.com/shogun-toolbox/shogun) - The Shogun Machine Learning Toolbox
* [Pyevolve](https://github.com/perone/Pyevolve) - Genetic algorithm framework.
* [Caffe](http://caffe.berkeleyvision.org) - A deep learning framework developed with cleanliness, readability, and speed in mind.
#### Data Analysis / Data Visualization