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README.md

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 Distributed Machine Learning Toolkit [http://www.dmtk.io](http://www.dmtk.io)
 Please open issues in the project below. For any technical support email to [dmtk@microsoft.com](mailto:dmtk@microsoft.com)
 
+DMTK includes the following projects:
+* [DMTK framework(Multiverso)](https://github.com/Microsoft/multiverso): The parameter server framework for distributed machine learning.
+* [LightLDA](https://github.com/Microsoft/lightlda): Scalable, fast and lightweight system for large-scale topic modeling.
+* [Distributed word embedding](https://github.com/Microsoft/distributed_word_embedding): Distributed algorithm for word embedding.
+* [Distributed skipgram mixture](https://github.com/Microsoft/distributed_skipgram_mixture): Distributed algorithm for multi-sense word embedding.
+
 # Updates
 
 ## 2016-07-05 
@@ -10,11 +16,7 @@ Please open issues in the project below. For any technical support email to [dmt
 * Deep learning framework ([torch](https://github.com/Microsoft/multiverso/wiki/Multiverso-Torch-Binding-Benchmark)/[theano](https://github.com/Microsoft/multiverso/wiki/Multiverso-Python-Binding-Benchmark)) support has been added.
 * Python/Lua bidding has been supported, you can using multiverso with [Python](https://github.com/Microsoft/multiverso/wiki/Multiverso-Python-Theano-Lasagne-Binding)/[Lua](https://github.com/Microsoft/multiverso/wiki/Multiverso-Torch-Lua-Binding).
 
-DMTK includes the following projects:
-* [DMTK framework(Multiverso)](https://github.com/Microsoft/multiverso): The parameter server framework for distributed machine learning.
-* [LightLDA](https://github.com/Microsoft/lightlda): Scalable, fast and lightweight system for large-scale topic modeling.
-* [Distributed word embedding](https://github.com/Microsoft/distributed_word_embedding): Distributed algorithm for word embedding.
-* [Distributed skipgram mixture](https://github.com/Microsoft/distributed_skipgram_mixture): Distributed algorithm for multi-sense word embedding.
+
 
 Microsoft Open Source Code of Conduct
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