[P] Aboleth - A bare-bones TensorFlow framework for Bayesian NNs • r/MachineLearning

The purpose of Aboleth is to provide a set of high performance and light weight components for building Bayesian neural nets and approximate (deep) Gaussian process computational graphs (and more). We aim for minimal abstraction over pure TensorFlow, so you can easily assign parts of the computational graph to different hardware, use your own data feeds/queues, and manage your own sessions etc. Have a look at the docs for more information!