← Single-cell & foundation models
ivis
Siamese neural network for structure-preserving dimensionality reduction of very large single-cell datasets.
| Category | Single-cell & foundation models |
|---|---|
| GitHub | beringresearch/ivis |
| First public | 2018-08-13 (source) |
| Paper | https://doi.org/10.21105/joss.01596 · Journal of Open Source Software (2019) |
| License | Apache-2.0 |
| Pricing | Open source |
| Tags | #machine-learning#data-visualization#dimensionality-reduction |
| Last checked | 2026-10-16 |
Specs
| Pretraining corpus | Per-dataset training |
|---|---|
| Architecture | Siamese neural network (triplet loss) |
| Tasks | Dimensionality reduction, visualization |
| Species | Any |
| GitHub stars | 345 |
| Interface | — |
Specs come from each project's README, paper or official page · ivis README · ivis paper. “—” means we couldn't verify it.
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