Showing 5 of 5 projects
A Java dataframe and visualization library for data loading, cleaning, transformation, and analysis.
A flexible and fast package for in-memory tabular data manipulation and analysis in the Julia programming language.
A modular deep learning framework for PyTorch to build neural networks on heterogeneous tabular data.
A tutorial series comparing how to implement data science concepts and build applications in both Python and R ecosystems.
A Julia package providing metaprogramming macros to simplify DataFrame manipulation with a more concise syntax.
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