DMTK vs Theano: What are the differences?

Developers describe DMTK as "Microsoft Distributed Machine Learning Tookit". DMTK provides a parameter server based framework for training machine learning models on big data with numbers of machines. It is currently a standard C++ library and provides a series of friendly programming interfaces. On the other hand, Theano is detailed as "Define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently". Theano is a Python library that lets you to define, optimize, and evaluate mathematical expressions, especially ones with multi-dimensional arrays (numpy.ndarray). Using Theano it is possible to attain speeds rivaling hand-crafted C impleme.

DMTK and Theano can be primarily classified as "Machine Learning" tools.

DMTK and Theano are both open source tools. Theano with 8.83K GitHub stars and 2.49K forks on GitHub appears to be more popular than DMTK with 2.69K GitHub stars and 595 GitHub forks.