ML, neural networks, and deep learning python libraries

specializations.md

@@ -7,6 +7,18 @@ _[Note: I'm adding this section due to the overwhelming amount of input from new
 * Neural Networks for Machine Learning [U Toronto / Coursera](https://www.coursera.org/course/neuralnets)
 * [Building Machine Learning Systems with Python](http://www.packtpub.com/building-machine-learning-systems-with-python/book) [source code](https://github.com/luispedro/BuildingMachineLearningSystemsWithPython)
 
+Packages
+* [mlpy](http://mlpy.sourceforge.net) Machine Learning Python
+* Machine Learning Toolkit [MILK](http://packages.python.org/milk/)
+* [MDP](https://pypi.python.org/pypi/MDP) a collection of supervised and unsupervised learning algorithms
+* [pyBrain](http://pybrain.org/) modular Machine Learning Library for Python
+* [Caffe](http://caffe.berkeleyvision.org/) framework for convolutional neural network algorithms 
+* [Nolearn](https://pypi.python.org/pypi/nolearn) framework wrapping scikit neural networks
+* [OverFeat](http://cilvr.nyu.edu/doku.php?id=software:overfeat:start) Convolutional Network-based image features extractor and classifier
+* [Hebel](https://github.com/hannes-brt/hebel) GPU-Accelerated Deep Learning Library in Python
+* [neurolab](https://code.google.com/p/neurolab/) simple and powerful Neural Network Library for Python. Contains based neural networks, train algorithms and flexible framework to create and explore other networks
+* [Pylearn2](http://deeplearning.net/software/pylearn2/) and [Theano](http://deeplearning.net/software/theano/) deep learning libraries
+
 #### Deep Learning 
 
 [Wikipedia Definition](http://en.wikipedia.org/wiki/Deep_learning)