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Updated location of neurolab project.

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Michael R. Bernstein 2015-11-04 19:36:50 -07:00
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@ -667,7 +667,7 @@ on MNIST digits[DEEP LEARNING]
* [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.
* [mrjob](https://pythonhosted.org/mrjob/) - A library to let Python program run on Hadoop.
* [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/
* [neurolab](https://github.com/zueve/neurolab) - https://github.com/zueve/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