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learning
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Achievement: Pair ExtraordinaireAchievement: Pull Sharkx2Achievement: YOLOAchievement: Quickdraw

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ranaabarghout/README.md

Hi there 👋

  • I’m currently working on applying deep learning techniques to genome-scale metabolic models!

  • Also learning more about generative and graph ML methods

  • Ask me about ML in metabolic engineering!

  • How to reach me: X (rana_barghout) or email!

    Find more at ranaabarghout.github.io

    Thanks for visiting 😄

Pinned Loading

  1. chemcognition-lab/IGLOO chemcognition-lab/IGLOO Public

    An ML pipeline for analyzing residue/structural contributions to protein variant function.

    Python 1

  2. kinGEMs kinGEMs Public

    A robust and scalable framework for resource-constraint models through stochastic tuning of deep learning-predicted kinetic parameters

    Jupyter Notebook 1 4

  3. Generative_Protein_Design_Datasets Generative_Protein_Design_Datasets Public

    A repository highlighting and linking existing resources and datasets for generative protein modeling.

    3 2