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@sibyl-dev

Sibyl

Design, Develop and Deploy AI Applications. This is a research project within the Data to AI lab at MIT
README.md

Sibyl is a highly-configurable system for developing usable ML applications for any domain. Sibyl creates explanations of ML models that are rapidly understandable to audiences of all kinds, including those without ML experience.

Live demo: https://sibylapp.streamlit.app/

Papers:

  • Sibyl for Child Welfare Screening: Zytek, A., Liu, D., Vaithianathan, R., & Veeramachaneni, K. (2021). Sibyl: Understanding and Addressing the Usability Challenges of Machine Learning In High-Stakes Decision Making. IEEE Transactions on Visualization and Computer Graphics. Link
  • Sibyl for Wind Turbine Monitoring: Zytek, A., Wang, W.-E., Koukoura, S., & Veeramachaneni, K. (2023, October 27). Lessons from Usable ML Deployments Applied to Wind Turbine Monitoring. Neurips 2023: XAI in Action: Past, Present, and Future Applications. Link
  • VBridge for Electronic Health Records: Cheng, F., Liu, D., Du, F., Lin, Y., Zytek, A., Li, H., Qu, H., & Veeramachaneni, K. (2021). VBridge: Connecting the Dots Between Features and Data to Explain Healthcare Models. IEEE Transactions on Visualization and Computer Graphics. Link

Pinned

  1. pyreal pyreal Public

    An easier approach to using and understanding ML models

    Jupyter Notebook 19 1

  2. sibyl-api sibyl-api Public

    Generalizable REST-API for usable ML applications

    Python

  3. sibylapp2 sibylapp2 Public

    Configurable front-end for augmenting ML model outputs

    Python

  4. VBridge VBridge Public

    Visualization for Explainable Healthcare Models

    TypeScript 16 2

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