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  1. snap-stanford/GEARS Public

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

    Python 250 50

  2. snap-stanford/UCE Public

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

    Python 189 33

  3. snap-stanford/BioDiscoveryAgent Public

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

    Python 60 14

343 contributions in the last year

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Activity overview

Contributed to snap-stanford/precice, yhr91/uce_edit, snap-stanford/BioDiscoveryAgent and 5 other repositories
Loading A graph representing yhr91's contributions from April 21, 2024 to April 24, 2025. The contributions are 70% commits, 26% issues, 2% pull requests, 2% code review. 2% Code review 26% Issues 2% Pull requests 70% Commits

Contribution activity

April 2025

12 contributions in private repositories Apr 7 – Apr 10
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