Showing 7 of 7 projects
A fast, header-only C++ machine learning library with bindings for Python, R, Julia, and Go.
An R binding package for calling Google Earth Engine API from within R, integrating with the R spatial ecosystem.
A hyperparameter-free gradient boosting machine with a simple budget parameter, built for high performance with Rust and bindings for Python and R.
An R interface to Google's V8 JavaScript and WebAssembly engine for executing JavaScript code within R.
R package providing fast bindings to libyaml for converting R objects to and from YAML format.
A fast and versatile implementation of support vector machines with integrated hyper-parameter selection and support for multiple learning scenarios.
Rcpp bindings for parsing TOML configuration files into R with proper type conversion.
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