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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Implement one small API on SQLite in any language; we benchmark it on a $12 server (1 vCPU, 2 GB)
Simplify software testing, by easily mocking any system using HTTP/HTTPS, allowing a team to test and develop against a service that is not complete or is unstable or just to reproduce planned/edge cases.
Simple blog module to your Symfony2 project. Posts / Tags / Cut and Read more / Highlight Source Code / Breadcrumbs / Paginations / Unit tests / Disqus comments widget
GBench - The benchmarking module for Groovy
assertions for logging with logback