amkrajewski/nimCSO

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.

语言：Nim · GitHub 星标：25 · Fork：4

话题：data-analysis · data-optimization · data-science · materials-informatics · metaprogramming · nim · nim-lang

在 GitHub 上查看原仓库