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1–16 of 16 · Most stars

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.).

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.

High-performance Piecewise Geometric Model (PGM) learned index implementation in pure Rust with strict epsilon error guarantees

Mirror of oflops (cbench) from git://gitosis.stanford.edu/oflops.git