hanxiao/pacmap-mlx
PaCMAP in pure MLX for Apple Silicon. Pure GPU, no scipy/numba.
This tool helps researchers and data analysts visualize complex datasets by transforming high-dimensional data, such as images or survey responses, into a more understandable 2D or 3D map. You provide your raw data, and it outputs a simplified representation that highlights underlying patterns and relationships. This is ideal for anyone needing to explore and interpret large datasets to uncover insights.
Use this if you need to visualize the global structure of your data while maintaining a balanced representation of local relationships, especially if you're working with Apple Silicon.
Not ideal if your primary goal is to clearly separate local clusters for publication-quality plots or if you are not using Apple Silicon hardware.
Stars
19
Forks
—
Language
Python
License
MIT
Category
Last pushed
Mar 05, 2026
Commits (30d)
0
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