umap-learn
About
This skill provides UMAP for fast nonlinear dimensionality reduction, ideal for visualizing high-dimensional data in 2D/3D or preprocessing for clustering. It supports supervised learning and parametric UMAP, following scikit-learn's API for easy integration. Use it when you need scalable embeddings that preserve both local and global data structure.
Quick Install
Claude Code
Recommendednpx skills add sanand0/scientific-research -a claude-code/plugin add https://github.com/sanand0/scientific-researchgit clone https://github.com/sanand0/scientific-research.git ~/.claude/skills/umap-learnCopy and paste this command in Claude Code to install this skill
GitHub Repository
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