Showing 6 of 6 projects
A batteries-included machine learning library for Go with a scikit-learn inspired interface.
A high-performance machine learning library for Haskell that leverages algebraic structures for parallel, online, and fast cross-validation training.
Sample applications demonstrating how to use AWS Amazon Machine Learning for targeted marketing, social media filtering, and mobile predictions.
A Python package for stacking (stacked generalization) with both functional and scikit-learn compatible APIs.
A Common Lisp machine learning library focusing on neural networks, Boltzmann machines, and Gaussian processes with BLAS and CUDA support.
A Rust crate providing efficient implementations of common machine learning algorithms with support for dense and sparse data.
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