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 * [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
-* [TensorFlow)(https://github.com/tensorflow/tensorflow/) - Open source software library for numerical computation using data flow graphs
+* [TensorFlow](https://github.com/tensorflow/tensorflow/) - Open source software library for numerical computation using data flow graphs
 * [yahmm](https://github.com/jmschrei/yahmm/) - Hidden Markov Models for Python, implemented in Cython for speed and efficiency.
 * [python-timbl](https://github.com/proycon/python-timbl) - A Python extension module wrapping the full TiMBL C++ programming interface. Timbl is an elaborate k-Nearest Neighbours machine learning toolkit.
 * [deap](https://github.com/deap/deap) - Evolutionary algorithm framework.