Added pgmpy
Added pgmpy in python general purpose machine learning section. It supports Bayesian learning, Dynamic Bayesian networks and markov random field models ( along with additional stuffs).
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@ -702,6 +702,7 @@ on MNIST digits[DEEP LEARNING]
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* [Annoy](https://github.com/spotify/annoy) - Approximate nearest neighbours implementation
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* [skflow](https://github.com/google/skflow) - Simplified interface for TensorFlow, mimicking Scikit Learn.
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* [TPOT](https://github.com/rhiever/tpot) - Tool that automatically creates and optimizes machine learning pipelines using genetic programming. Consider it your personal data science assistant, automating a tedious part of machine learning.
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* [pgmpy](https://github.com/pgmpy/pgmpy) A python library for working with Probabilistic Graphical Models.
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<a name="python-data-analysis" />
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#### Data Analysis / Data Visualization
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