ND4J is an Apache2 Licensed open-sourced scientific computing library for the JVM. It is meant to be used in production environments rather than as a research tool, which means routines are designed to run fast with minimum RAM requirements.

Please search for the latest version on search.maven.org.

Or use the versions displayed in: https://github.com/deeplearning4j/dl4j-0.4-examples/blob/master/pom.xml

• Versatile n-dimensional array object
• Multiplatform functionality including GPUs
• Linear algebra and signal processing functions
  

Specifics

• Supports GPUs via with the CUDA backend nd4j-cuda-7.5 and Native via nd4j-native.
• All of this is wrapped in a unifying interface.
• The API mimics the semantics of Numpy, Matlab and scikit-learn.
  

Several of these modules are different backend options for ND4J (including GPUs).

• api = core
• instrumentation
• jdbc = Java Database Connectivity
• jocl-parent = Java bindings for OpenCL
• scala-api = API for Scala users
• scala-notebook = Integration with Scala Notebook
  

Documentation is available at nd4j.org. Access the JavaDocs for more detail.