"DeepHyper is a distributed machine learning (AutoML) package for automating the development of deep neural networks for scientific applications. It can run on a single laptop as well as on 1,000 of nodes."
"It comprises different tools such as: optimizing hyper-parameters for a given black-box function, neural architecture search to discover high-performing deep neural network with variable operations and connections, and automated machine learning, to easily experiment many learning algorithms from Scikit-Learn."
Looks like a pretty powerful tool for neural architecture and hyper-parameter search to be publicly available.
DeepHyper: scalable neural architecture and hyperparameter search for deep neural networks