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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.).
HammerDB: The industry standard open-source database benchmark
- benchmark
- benchmarking
- benchmarks
- db2
A caffeine driven, simplistic approach to benchmarking.
Browser automation engine benchmark - Test bypass rates, performance & stealth against Cloudflare, DataDome, reCAPTCHA, Kasada, Imperva, Akamai, PerimeterX and other bot detection systems. Find the best browser for scraping.
- anti-detect
- antidetect-browser
- automation
- browser
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.