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### Related projects
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*[Shapeless](https://github.com/milessabin/shapeless) provides a solid foundation for type-level programming used in this project.
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*[Scalaz](http://scalaz.org/) provides type classes used in this project.
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*[Scalaz](http://scalaz.org/)and [Algebra](http://typelevel.org/algebra/)provides type classes used in this project.
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*[ThoughtWorks Each](https://github.com/ThoughtWorksInc/each) provides `async`/`await`-like syntax. You may want to use it to control your training process in an imperative style.
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*[nd4j](http://nd4j.org/) provides numerical computing used in this project.
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*[RAII.scala](https://github.com/ThoughtWorksInc/RAII.scala), [future.scala](https://github.com/ThoughtWorksInc/future.scala) and [tryt.scala](https://github.com/ThoughtWorksInc/tryt.scala) provides monadic asynchronous resource management used in this project.
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*[Import.scala](https://github.com/ThoughtWorksInc/Import.scala) is a Scala compiler plugin that enables magic imports. You may need it in those sbt project use DeepLearning.scala plugin hosted on Github Gist.
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* The unit tests of this projects are written in [ScalaTest](http://scalatest.org/) and [example.scala](https://github.com/ThoughtWorksInc/example.scala) syntax.
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* The unit tests of this project are written in [ScalaTest](http://scalatest.org/) and [example.scala](https://github.com/ThoughtWorksInc/example.scala) syntax.
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* Some type classes in this project are created by [simulacrum](https://github.com/mpilquist/simulacrum)'s `@typeclass` annotation.
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