Reference Implementations for Machine Learning Application Benchmark

This paper presents reference implementations for a multitude of space applications from the Machine Learning Application Benchmark. Reference implementations include the respective model, its on-board hardware implementation, test scripts and final benchmarking results. In publishing these reference implementations, we make a significant contribution to the benchmark and provide more insight into the viability of on-board machine learning applications.