I have an exciting announcement to share: we’re officially merging Edward into TensorFlow.
Specifically, Edward will be in the contrib module for now, and to avoid redundancy with other submodules, we’ll be merging its many features across libraries with a primary focus on:
tf.contrib.distributions—for distributions such as
Empirical and properties such as supports;
tf.contrib.bayesflow—for inference such as
We’re not sure if all of Edward’s features will be in TensorFlow just yet: for example, it’s unclear where to put Edward’s precise PPL. That said, expect that in this move many new innovations in Edward’s design will appear as we make programmable inference far more flexible, more generally compatible with hardware and distributed choices, and most importantly, more accessible by researchers and applied MLers alike.