hanxiao/umap-mlx
UMAP in pure MLX for Apple Silicon. 30x faster than umap-learn.
This tool helps data scientists and machine learning engineers quickly reduce the dimensions of complex datasets for visualization or further analysis. You input high-dimensional data, and it outputs a lower-dimensional representation, making patterns and clusters easier to see. It's designed for users working with large datasets on Apple Silicon hardware who need significantly faster processing.
Use this if you need to perform UMAP dimension reduction on large datasets and have an Apple Silicon Mac, enabling processing speeds up to 46 times faster than traditional methods.
Not ideal if you are not using Apple Silicon hardware or if your datasets are small enough that computation time is not a significant concern.
Stars
40
Forks
4
Language
Python
License
MIT
Category
Last pushed
Mar 05, 2026
Commits (30d)
0
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