Models
7 models · showing 7
a generalist algorithm for cellular segmentation with human-in-the-loop capabilities
The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell level.
Deep probabilistic analysis of single-cell and spatial omics data
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Mirror of the base ProGen2-base model (with slightly modified configuration and forward pass) by Nijkamp, et
Mirror of the base ProGen2-small model (with slightly modified configuration and forward pass) by Nijkamp, et