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a distributed Hyperband implementation on Steroids
HPOlib is a hyperparameter optimization library. It provides a common interface to three state of the art hyperparameter optimization packages: SMAC, spearmint and hyperopt. This package is discontinued, please read the longer note in the info box below.
This is an environment intended to handle the interaction with the clingo ASP solver such that it can be controlled online during the solve process.
Automated Machine Learning with scikit-learn
RoBO: a Robust Bayesian Optimization framework
Sequential Model-based Algorithm Configuration
Bayesian neural network package
Stochastic Gradient MCMC algorithms implemented in theano (and autograd)
Parameter Importance Analysis Tool
simple python interface to SMAC.
An extension to Sacred for automated hyperparameter optimization.
Fast Gaussian Processes for regression
predicting learning curves in python
A Multi Armed Bandit library written in C++ with Python bindings
parameter configuration space parser for SMAC format