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# Multiverso
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multiverso
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==========
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Multiverso is 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. With such easy-to-use APIs, machine learning researchers and practitioners do not need to worry about the system routine issues such as distributed model storage and operation, inter-process and inter-thread communication, multi-threading management, and so on.
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Instead, they are able to focus on the core machine learning logics: data, model, and training.
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For more details, please view our website [http://www.dmtk.io](http://www.dmtk.io).
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Build
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**Linux** (Tested on Ubuntu 12.04)
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1. Run ``` mkdir build ```
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2. Run ``` cd build ```
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3. Run ``` cmake .. ```
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4. Run ``` make ```
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**Windows**
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For windows users, please refer to README in windows folder.
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Related Projects
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Current distributed systems based on multiverso:
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* [lightlda](https://github.com/Microsoft/lightlda): Scalable, fast, lightweight system for large scale topic modeling
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* [distributed_word_embedding](https://github.com/Microsoft/distributed_word_embedding) Distributed system for word embedding
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* [distributed_skipgram_mixture](https://github.com/Microsoft/distributed_skipgram_mixture) Distributed skipgram mixture for multi-sense word embedding
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