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.

2 best points · 1 comments · 1 Hacker News post · 25 GitHub stars · View on GitHub

Hacker News discussions

• NimCSO: A Nim Package for Compositional Space Optimization (2 points, 1 comments, by archargelod, 2024-10-10)