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1. snap-stanford/GEARS snap-stanford/GEARS Public

   GEARS is a geometric deep learning model that predicts outcomes of novel multi-gene perturbations

   Python 282 60

2. snap-stanford/UCE snap-stanford/UCE Public

   UCE is a zero-shot foundation model for single-cell gene expression data

   Python 217 36

3. snap-stanford/BioDiscoveryAgent snap-stanford/BioDiscoveryAgent Public

   BioDiscoveryAgent is an LLM-based AI agent for closed-loop design of genetic perturbation experiments

   Python 85 20

4. ArcInstitute/cell-eval ArcInstitute/cell-eval Public

   Comprehensive suite for evaluating perturbation prediction models

   Python 71 22

5. ArcInstitute/state ArcInstitute/state Public

   State is a machine learning model that predicts cellular perturbation response across diverse contexts

   Python 329 79