Bayesian neural networks for Bayesian optimization based on pytorch.

It contains implementations for:

• Scalable Bayesian Optimization Using Deep Neural Networks (DNGO which is BLR)
• Bayesian optimization with robust Bayesian neural networks (BOHAMIANN which is HMC-based)
• Dropout as a Bayesian approximation: Representing model uncertainty in deep learning(MCDROP)
• Our Loss-Callibrated BNN Method

git clone https://github.com/automl/pybnn.git
cd pybnn
python setup.py install