A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).
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A simple C++ 03/11/etc timer class for ~microsecond-precision cross-platform benchmarking. The implementation is as limited and as simple as possible to create the lowest amount of overhead.
Create, Read, Update and Delete benchmarks at crude hardware speeds for embedded engines and database servers, the Rust successor to UCSB & YCSB
Micro-benchmarking library for OCaml