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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jsperf.com v2. https://github.com/h5bp/lazyweb-requests/issues/174
- javascript
- benchmark
- benchmarking
- performance
Benchmarks for Low Latency (Streaming) solutions including Apache Storm, Apache Spark, Apache Flink, ...
- benchmarks
- low-latency
- streaming
Compare various Image resize algorithms for the Go language
Feel how fast a local LLM runs before you buy the hardware
Go(lang) benchmarks - (measure the speed of golang)
- golang
- go
- examples
- benchmark
Go micro-benchmarks for calculating the speed of language constructs
Create, Read, Update and Delete benchmarks at crude hardware speeds for embedded engines and database servers, the Rust successor to UCSB & YCSB
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