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* [[LIBSVM]] comes with scripts for performing grid search.
* [[scikit-learn]] is a Python package which includes [http://scikit-learn.sourceforge.net/modules/grid_search.html grid] search.
===Random search===▼
* [https://github.com/hyperopt/hyperopt hyperopt] and [https://github.com/hyperopt/hyperopt-sklearn hyperopt-sklearn] are Python packages which include random search.▼
* [[scikit-learn]] is a Python package which includes [http://scikit-learn.org/stable/modules/generated/sklearn.grid_search.RandomizedSearchCV.html random] search.▼
===Bayesian===
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* [https://github.com/yelp/MOE MOE] MOE is a Python/C++/CUDA library implementing Bayesian Global Optimization using Gaussian Processes.
* [http://www.cs.ubc.ca/labs/beta/Projects/autoweka/ Auto-WEKA] is a Bayesian hyperparameter optimization layer on top of [[Weka (machine learning)|WEKA]].
▲===Random search===
▲* [https://github.com/hyperopt/hyperopt hyperopt] and [https://github.com/hyperopt/hyperopt-sklearn hyperopt-sklearn] are Python packages which include random search.
▲* [[scikit-learn]] is a Python package which includes [http://scikit-learn.org/stable/modules/generated/sklearn.grid_search.RandomizedSearchCV.html random] search.
===Gradient based===
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