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CUDA vs DMTK: What are the differences?
What is CUDA? It provides everything you need to develop GPU-accelerated applications. A parallel computing platform and application programming interface model,it enables developers to speed up compute-intensive applications by harnessing the power of GPUs for the parallelizable part of the computation.
What is 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.
CUDA and DMTK can be categorized as "Machine Learning" tools.
DMTK is an open source tool with 2.7K GitHub stars and 595 GitHub forks. Here's a link to DMTK's open source repository on GitHub.