The Beta Machine Learning Toolkit is a package including many algorithms and utilities to implement machine learning workflows in Julia, Python, R and any other language with a Julia binding. All models are implemented entirely in Julia and are hosted in the repository itself (i.e. they are not wrapper to third-party models). If your favorite option or model is missing, you can try to implement it yourself and open a pull request to share it (see the section Contribute below) or request its implementation. Thanks to its JIT compiler, Julia is indeed in the sweet spot where we can easily write models in a high-level language and still have them running efficiently.
Features
- Machine Learning made simple
- Examples available
- Documentation available
- All models are implemented entirely in Julia and are hosted in the repository itself
- The Beta Machine Learning Toolkit is a package including many algorithms and utilities
- Implement machine learning workflows in Julia, Python, R and any other language with a Julia binding
Project Samples
License
MIT LicenseFollow BetaML.jl
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