Powerful .NET library for benchmarking
- benchmark
- benchmarking
- c-sharp
- dotnet
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Powerful .NET library for benchmarking
Easy benchmarking of all publicly accessible implementations of convnets
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.).
A .NET library for carefully refactoring critical paths. It's a port of GitHub's Ruby Scientist library
Skynet 1M threads microbenchmark
Performance benchmarking and testing framework for .NET applications :chart_with_upwards_trend:
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
Profile your Tensorflow Lite model on-device