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Merge pull request #462 from chihming/patch-1
update the link of pronet-core
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@ -186,7 +186,7 @@ Further resources:
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* [libfm](http://www.libfm.org/) - A generic approach that allows to mimic most factorization models by feature engineering.
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* [MLDB](https://mldb.ai) - The Machine Learning Database is a database designed for machine learning. Send it commands over a RESTful API to store data, explore it using SQL, then train machine learning models and expose them as APIs.
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* [mlpack](http://www.mlpack.org/) - A scalable C++ machine learning library.
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* [proNet-core](https://github.com/chihming/proNet-core) - A general-purpose network embedding framework: pair-wise representations optimization Network Edit.
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* [proNet-core](https://github.com/cnclabs/proNet-core) - A general-purpose network embedding framework: pair-wise representations optimization Network Edit.
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* [ROOT](https://root.cern.ch) - A modular scientific software framework. It provides all the functionalities needed to deal with big data processing, statistical analysis, visualization and storage.
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* [shark](http://image.diku.dk/shark/sphinx_pages/build/html/index.html) - A fast, modular, feature-rich open-source C++ machine learning library.
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* [Shogun](https://github.com/shogun-toolbox/shogun) - The Shogun Machine Learning Toolbox.
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