DMTK vs Microsoft Cognitive Toolkit

DMTK vs Microsoft Cognitive Toolkit: 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, Microsoft Cognitive Toolkit is detailed as "An open-source toolkit for deep learning". It is an open-source toolkit for commercial-grade distributed deep learning. It describes neural networks as a series of computational steps via a directed graph.

DMTK and Microsoft Cognitive Toolkit can be categorized as "Machine Learning" tools.

Some of the features offered by DMTK are:

• DMTK Framework: a flexible framework that supports unified interface for data parallelization, hybrid data structure for big model storage, model scheduling for big model training, and automatic pipelining for high training efficiency.
• LightLDA, an extremely fast and scalable topic model algorithm, with a O(1) Gibbs sampler and an efficient distributed implementation.
• Distributed (Multisense) Word Embedding, a distributed version of (multi-sense) word embedding algorithm.

On the other hand, Microsoft Cognitive Toolkit provides the following key features:

• Speed & Scalability
• Commercial-Grade Quality
• Easy-to-use architecture

DMTK and Microsoft Cognitive Toolkit are both open source tools. Microsoft Cognitive Toolkit with 16.3K GitHub stars and 4.34K forks on GitHub appears to be more popular than DMTK with 2.7K GitHub stars and 595 GitHub forks.