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  +
  +### Linux
  +
  +Please install the [libopenblas-dev](http://packages.ubuntu.com/precise/libopenblas-dev) package on your system. Once you have the file _libopenblas.so_ in the library search path (e.g. in /usr/lib), you can use the same NuGet package described above.
  +
  +Alternatively, you can download the Linux-specific binaries of the latest release <a href="https://github.com/DiffSharp/DiffSharp/releases">on GitHub</a>.
   
   Quick Usage Example
   -------------------
  
positive.code: How to Get
  ----------
  
  You can install the library via NuGet. You can also download the source code or the binaries of the latest release <a href="https://github.com/DiffSharp/DiffSharp/releases">on GitHub</a>.
  
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negative.code: 
  The library is under active development by [Atılım Güneş Baydin](http://www.cs.nuim.ie/~gunes/) and [Barak A. Pearlmutter](http://bcl.hamilton.ie/~barak/) mainly for research applications in machine learning, as part of their work at the [Brain and Computation Lab](http://www.bcl.hamilton.ie/), Hamilton Institute, National University of Ireland Maynooth.
  
  DiffSharp is implemented in the F# language and [can be used from C#](csharp.html) and the [other languages](http://en.wikipedia.org/wiki/List_of_CLI_languages) running on Mono or the .Net Framework, targeting the 64 bit platform. It is tested on Linux and Windows. We are working on interfaces/ports to other languages.
  
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