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@Dependable-Intelligent-Systems-Lab

Dependable-Intelligent-Systems-Lab, University of Hull

The group is pioneering a novel synthesis of model-based and bio-inspired technologies, known as HiP-HOPS, for the design and analysis of complex dependable sys

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  1. SafeDrones Public

    Reliability_Multirotor_Drones

    Jupyter Notebook 12 1

  2. SafeML Public

    Forked from ISorokos/SafeML

    Exploring techniques for estimating safety of machine learning classifiers

    Jupyter Notebook

  3. xwhy Public

    Explaining black boxes with a SMILE: Statistical Mode-agnostic Interpretability with Local Explanations

    JavaScript 10 3

Repositories

Showing 8 of 8 repositories
  • xwhy Public

    Explaining black boxes with a SMILE: Statistical Mode-agnostic Interpretability with Local Explanations

    JavaScript 10 MIT 3 0 0 Updated Feb 16, 2025
  • SafeDrones Public

    Reliability_Multirotor_Drones

    Jupyter Notebook 12 MIT 1 0 0 Updated Nov 9, 2024
  • .github Public

    Dependable Intelligent Systems Lab

    0 0 0 0 Updated Jul 18, 2024
  • Dataset-Characteristics Public

    Dataset Characteristics

    Jupyter Notebook 0 MIT 0 0 0 Updated Apr 4, 2024
  • EDDI-Editor Public

    Editor for converting and editing EDDI models from HiP-HOPS and other tools.

    C# 0 MIT 0 0 0 Updated Feb 6, 2024
  • 0 0 0 0 Updated Jun 26, 2023
  • Dependable-Intelligent-Systems-Lab Public

    Dependable-Intelligent-Systems-Lab

    0 0 0 0 Updated Feb 13, 2023
  • SafeML Public Forked from ISorokos/SafeML

    Exploring techniques for estimating safety of machine learning classifiers

    Jupyter Notebook 0 MIT 19 0 0 Updated Mar 1, 2021

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