My name is Cale McCollough: Software and Computer Engineer and founder of Kabuki Starship, Kabuki Toolkit, Script2, and the Serial Chinese Room, Interprocess, and Telemetry (SCRIPT) Specification, which is like MavLink mixed with mbed, gRPC, Qt, and coAPP. I'm attempting to put together a unified C++ virtual machine and SDK, but it's a bit like sweeping dirt around on the forest floor and I'm not super far. I am now using MLPack for Kabuki Toolkit and I'm trying to make it not a nightmare to work with both libraries. I recently came across Intel nGraph, which uses LLVM to compile neural net models. The cuDNN support is in progress and it's Intel so it shouldn't take too long. I'm wondering if the MLPack community has explored if an MLPack-to-nGraph bridge is worth investing in and if there is any support for the project. It would provide industry-standard parallelizability. Any advice on integrating large C++ libraries is appreciated.
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