sylvaticus/BetaML.jl
Beta Machine Learning Toolkit
This toolkit helps data scientists, machine learning engineers, and researchers build machine learning models for predictions and insights. You can input various datasets, like numerical tables or categorical information, and it produces trained models for classification, regression, clustering, and data imputation. It's designed for practitioners who work with data in Julia and related languages.
106 stars.
Use this if you need a comprehensive set of machine learning algorithms to perform tasks like predicting outcomes, grouping similar data points, or filling in missing values within your datasets.
Not ideal if you are looking for a no-code solution or pre-built applications rather than a programming toolkit for model development.
Stars
106
Forks
14
Language
Julia
License
MIT
Category
Last pushed
Dec 15, 2025
Commits (30d)
0
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