What is DMTK?
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.
DMTK is a tool in the Machine Learning Tools category of a tech stack.
DMTK is an open source tool with 2.7K GitHub stars and 561 GitHub forks. Here’s a link to DMTK's open source repository on GitHub
Who uses DMTK?
DMTK's Features
- 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.
DMTK Alternatives & Comparisons
What are some alternatives to DMTK?
JavaScript
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Git
Git is a free and open source distributed version control system designed to handle everything from small to very large projects with speed and efficiency.
GitHub
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Python
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jQuery
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