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 2.8K GitHub stars and 599 GitHub forks. Here’s a link to DMTK's open source repository on GitHub
Who uses DMTK?
Why developers like DMTK?
Here’s a list of reasons why companies and developers use DMTK
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- 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?
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