amkrajewski / nimCSOView on GitHub
nim Composition Space Optimization is a high-performance tool leveraging metaprogramming to implement several methods for selecting components (data dimensions) in compositional datasets, as to optimize the data availability and density for applications such as machine learning.
24Feb 21, 2026Updated last week

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