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49–72 of 150 · 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.).

csvutil provides fast and idiomatic mapping between CSV and Go (golang) values.

  • golang
  • csv
  • fast
  • csv-parser

Clean architecture validator for go, like a The Dependency Rule and interaction between packages in your Go projects.

  • golang
  • go
  • clean-architecture
  • uncle-bob

RNNLIB is a recurrent neural network library for sequence learning problems. Forked from Alex Graves work http://sourceforge.net/projects/rnnl/

.NET Standard wrapper for FFmpeg. It allows to process media without know how FFmpeg works, and can be used to pass customized arguments to FFmpeg from dotnet core application.