Caffe2 vs DMTK: What are the differences?

Caffe2: Open Source Cross-Platform Machine Learning Tools (by Facebook). Caffe2 is deployed at Facebook to help developers and researchers train large machine learning models and deliver AI-powered experiences in our mobile apps. Now, developers will have access to many of the same tools, allowing them to run large-scale distributed training scenarios and build machine learning applications for mobile; DMTK: 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.

Caffe2 and DMTK can be primarily classified as "Machine Learning" tools.

Caffe2 and DMTK are both open source tools. It seems that Caffe2 with 8.46K GitHub stars and 2.13K forks on GitHub has more adoption than DMTK with 2.69K GitHub stars and 595 GitHub forks.