Ashford-A/UniVI
UniVI is a scalable multi-modal VAE toolkit for aligning heterogeneous single-cell datasets into a shared latent space—supporting unimodal, dual-modal, and tri-modal (and beyond) integration. It can additionally be used for cross-modal imputation, data generation of biologically-relevant synthetic samples, data denoising, and structured evaluation.
Available on PyPI.
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Language
Jupyter Notebook
License
MIT
Category
Last pushed
Mar 04, 2026
Monthly downloads
510
Commits (30d)
0
Dependencies
15
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