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@@ -102,8 +102,8 @@ Other contributors can be found at [here](https://github.com/ThoughtWorksInc/Dee
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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 DeepLearning.scala.
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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 DeepLearning.scala.
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* Plugins of DeepLearning.scala are based on [Factory](https://javadoc.io/page/com.thoughtworks.feature/factory_2.11/latest/com/thoughtworks/feature/Factory.html) and other dependent type classes in [feature.scala](https://github.com/ThoughtWorksInc/feature.scala).
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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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* DeepLearning.scala can run in [Jupyter Scala](https://github.com/alexarchambault/jupyter-scala) or [Ammonite](http://ammonite.io/).
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* Plugins of DeepLearning.scala are based on [Factory](https://javadoc.io/page/com.thoughtworks.feature/factory_2.11/latest/com/thoughtworks/feature/Factory.html) and other dependent type classes in [feature.scala](https://github.com/ThoughtWorksInc/feature.scala).
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* The unit tests of DeepLearning.scala 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 DeepLearning.scala are created by [simulacrum](https://github.com/mpilquist/simulacrum)'s `@typeclass` annotation.
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