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Add SKLL to Python general purpose section
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@ -502,6 +502,7 @@ on MNIST digits[DEEP LEARNING]
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* [breze](https://github.com/breze-no-salt/breze) - Theano based library for deep and recurrent neural networks
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* [breze](https://github.com/breze-no-salt/breze) - Theano based library for deep and recurrent neural networks
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* [pyhsmm](https://github.com/mattjj/pyhsmm) - library for approximate unsupervised inference in Bayesian Hidden Markov Models (HMMs) and explicit-duration Hidden semi-Markov Models (HSMMs), focusing on the Bayesian Nonparametric extensions, the HDP-HMM and HDP-HSMM, mostly with weak-limit approximations.
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* [pyhsmm](https://github.com/mattjj/pyhsmm) - library for approximate unsupervised inference in Bayesian Hidden Markov Models (HMMs) and explicit-duration Hidden semi-Markov Models (HSMMs), focusing on the Bayesian Nonparametric extensions, the HDP-HMM and HDP-HSMM, mostly with weak-limit approximations.
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* [mrjob](https://pythonhosted.org/mrjob/) - A library to let Python program run on Hadoop.
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* [mrjob](https://pythonhosted.org/mrjob/) - A library to let Python program run on Hadoop.
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* [SKLL](https://github.com/EducationalTestingService/skll) - A wrapper around scikit-learn that makes it simpler to conduct experiments.
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<a name="python-data-analysis" />
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<a name="python-data-analysis" />
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#### Data Analysis / Data Visualization
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#### Data Analysis / Data Visualization
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