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lingxling/scientific-agent-skills

v2.72.0MIT

Ready-to-use scientific and research Agent Skills for biology, chemistry, medicine, and related workflows.

umap-learn

Applies UMAP-learn to nonlinear dimensionality reduction, 2D/3D embeddings, clustering preprocessing, supervised or semi-supervised UMAP, DensMAP, AlignedUMAP, and Parametric UMAP workflows.

Version
1.5
License
BSD-3-Clause license
Compatibility
Requires Python 3.9+ and umap-learn; optional HDBSCAN, Matplotlib, and TensorFlow with Keras 3. Network access is needed for installation, not local fitting.
Read SKILL.md at the source

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