Easy benchmarking of all publicly accessible implementations of convnets
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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.).
Skynet 1M threads microbenchmark
C++ Benchmark Authoring Library/Framework
- benchmark
- benchmark-tests
- measurements
- c-plus-plus
Implement one small API on SQLite in any language; we benchmark it on a $12 server (1 vCPU, 2 GB)
A lightweight Python SDK and CLI for evaluating recursive self-improvement (RSI) methods across agent benchmarks.
The Open Capture and Analytics Tool (OCAT) provides an FPS overlay and performance measurement for D3D11, D3D12, and Vulkan
- mit-license
- vulkan
- fps-overlay
- d3d12
High-performance Piecewise Geometric Model (PGM) learned index implementation in pure Rust with strict epsilon error guarantees
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.
GraphQL benchmarks using the-benchmarker framework.