Disclaimer: I run a competing library to the uncomplicate series of libraries. If you want that set of guarantees with just as ease of use,you can look in to o

Disclaimer: I run a competing library to the uncomplicate series of libraries. If you want that set of guarantees with just as ease of use,you can look in to ours: http://nd4j.org/ http://nd4j.org/ We have various usage examples here: https://github.com/deeplearning4j/dl4j-examples/tree/master/nd4j-examples/src/main/java/org/nd4j/examples https://github.com/deeplearning4j/dl4j-examples/tree/master/... and the userguide: http://nd4j.org/userguide http://nd4j.org/userguide We have a lot going on underneath the hood, but we pre compile everything out of the box. We maintain a whole software stack for JNI called javacpp: https://github.com/bytedeco/javacpp https://github.com/bytedeco/javacpp One of those includes something called a "preset" which bundles openblas as a maven dependency (with the ability to link to mkl if you want) We support cuda as well. If you have any questions, stop by our live chat: https://gitter.im/deeplearning4j/deeplearning4j https://gitter.im/deeplearning4j/deeplearning4j