Microsoft open sources its machine learning toolkit

Microsoft has this week made its Distributed Machine Learning Toolkit (DMTK) openly available to the developer community. Researchers at the Microsoft Asia lab have released the toolkit on GitHub under an MIT (Massachusetts Institute of Technology) license, to encourage the use of multiple computers in parallel to solve complex problems. Its design builds on a parameter server-based programming framework, which allows big data machine learning tasks to be easily scaled, and flexibly and efficiently executed. The toolkit also contains two distributed machine learning algorithms, which can be used to train the world’s fastest and largest topic model, as well as the largest word-embedding model. The Microsoft offering uses simple APIs to make it easily accessible to researchers and developers, and to help reduce the complexity of machine learning components such…


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