  This paper presents the philosophy, design and feature-set of Neural Network
Distiller, an open-source Python package for DNN compression research.
Distiller is a library of DNN compression algorithms implementations, with
tools, tutorials and sample applications for various learning tasks. Its target
users are both engineers and researchers, and the rich content is complemented
by a design-for-extensibility to facilitate new research. Distiller is
open-source and is available on Github at
https://github.com/NervanaSystems/distiller.
