javacpp

Disclaimer: I'm affiliated with a semi competing project to panama called javacpp: https://github.com/bytedeco/javacpp I can say for a fact that panama is not seriously targeting this space. We implement a ton of that native code today that works with c++ and actual android today. We also handle gpus. Project panama is only targeting c, and even then will only do it a cross platform non committal fashion. They aren't doing it the way they should be in order to properly target native vectorized code. We know this from experience, because this is all we do: https://github.com/deeplearning4j/deeplearning4j https://github.com/bytedeco/javacpp-presets We tried seeing if we could get some of this work in to the JDK, but their goals fundamentally compete with what it takes to get vector math to be fast. It's also not nearly as ambitious as it n

David did a great job with ScalaNLP. It happens to depend on Breeze. I would point out that Breeze does not support n-dimensional arrays (most tensors), although that is necessary to do in deep learning. We wrote ND4S and ScalNet to solve that: https://github.com/deeplearning4j/nd4s https://github.com/deeplearning4j/scalnet Moving computation out of Spark's MLlib and into lower level code like C++, as we do with JavaCPP and libnd4j, also improves speed. https://github.com/deeplearning4j/libnd4j https://github.com/bytedeco/javacpp

If folks are interested in this, I figured some folks might like our c++ version of this (been around for 5 years ish now): https://github.com/bytedeco/javacpp Also comes with tons of pre cooked projects already ready to go: https://github.com/bytedeco/javacpp-presets We use it in production at skymind and it powers our whole cpu and gpu stack with built in memory management among other things. Also has maven and sbt plugins so you can plug it right in to your workflow automatically just maintaining the java code. One of the coolest features is the name matching so you can get semi automatic mapping. We auto generate our JNI bindings from this.