Saved in:
| Main Author: | |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2603.04035 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Table of Contents:
- mlx-vis implements eight dimensionality reduction methods -- UMAP, t-SNE, PaCMAP, LocalMAP, TriMap, DREAMS, CNE, MMAE -- and NNDescent k-NN graph construction entirely in MLX for Apple Silicon Metal GPU. A built-in GPU renderer produces scatter plots and smooth animations via hardware H.264 encoding. On Fashion-MNIST (70K points, M3 Ultra), seven of eight methods embed in 2.0-4.7s and render 800-frame animations in 1.4s. The library depends only on MLX and NumPy and is available at https://github.com/hanxiao/mlx-vis.