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 * [SKLL](https://github.com/EducationalTestingService/skll) - A wrapper around scikit-learn that makes it simpler to conduct experiments.
 * [neurolab](https://code.google.com/p/neurolab/) - https://code.google.com/p/neurolab/
 * [Spearmint](https://github.com/JasperSnoek/spearmint) - Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimization of Machine Learning Algorithms. Jasper Snoek, Hugo Larochelle and Ryan P. Adams. Advances in Neural Information Processing Systems, 2012.
+* [Pebl](https://github.com/abhik/pebl/) - Python Environment for Bayesian Learning
+* [Theano](https://github.com/Theano/Theano/) - Optimizing GPU-meta-programming code generating array oriented optimizing math compiler in Python
 
 <a name="python-data-analysis" />
 #### Data Analysis / Data Visualization