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@UrbsLab

UrbsLab

ML and AI Lab in Department of Computational Biomedicine at Cedars-Sinai Medical Center

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  1. STREAMLINE STREAMLINE Public

    Simple Transparent End-To-End Automated Machine Learning Pipeline for Supervised Learning in Tabular Binary Classification Data

    Jupyter Notebook 79 12

  2. heros heros Public

    The Heuristic Evolutionary Rule Optimization System (HEROS) is a supervised rule-based machine learning algorithm designed to agnostically model diverse 'structured' data problems and yield compact…

    Jupyter Notebook 10

  3. scikit-FIBERS scikit-FIBERS Public

    scikit-FIBERS (Feature Inclusion Bin Evolver for Risk Stratification) is a scikit-learn compatible machine learning algorithm for modeling or feature learning in survival analyses where feature 'bu…

    Jupyter Notebook 6 4

  4. GAMETES GAMETES Public

    Source code for the Genetic Architecture Model Emulator for Testing and Evaluating Software (GAMETES) is an algorithm for the generation of complex single nucleotide polymorphism (SNP) models for s…

    Java 5 2

  5. scikit-rebate scikit-rebate Public

    Forked from EpistasisLab/scikit-rebate

    A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.

    Python 1

  6. scikit-ExSTraCS scikit-ExSTraCS Public

    A scikit-learn implementation based on ExSTraCS 2.0

    Jupyter Notebook 11 3

Repositories

Showing 10 of 26 repositories
  • scikit-rebate Public Forked from EpistasisLab/scikit-rebate

    A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.

    UrbsLab/scikit-rebate’s past year of commit activity
    Python 1 MIT 71 0 0 Updated Jan 13, 2026
  • heros Public

    The Heuristic Evolutionary Rule Optimization System (HEROS) is a supervised rule-based machine learning algorithm designed to agnostically model diverse 'structured' data problems and yield compact human interpretable solutions. This implementation is scikit-learn compatible.

    UrbsLab/heros’s past year of commit activity
    Jupyter Notebook 10 0 0 0 Updated Jan 5, 2026
  • STREAMLINE Public

    Simple Transparent End-To-End Automated Machine Learning Pipeline for Supervised Learning in Tabular Binary Classification Data

    UrbsLab/STREAMLINE’s past year of commit activity
    Jupyter Notebook 79 GPL-3.0 12 1 0 Updated Dec 17, 2025
  • LCS-Visualization-Pipeline Public

    LCS Discovery and Visualization Environment (LCS-DIVE)

    UrbsLab/LCS-Visualization-Pipeline’s past year of commit activity
    Python 4 GPL-3.0 2 0 1 Updated Dec 1, 2025
  • scikit-FIBERS Public

    scikit-FIBERS (Feature Inclusion Bin Evolver for Risk Stratification) is a scikit-learn compatible machine learning algorithm for modeling or feature learning in survival analyses where feature 'burden' may be predictive of risk strata. Originally designed to identify amino-acid positions where mismatch burden predicts kidney graft failure risk.

    UrbsLab/scikit-FIBERS’s past year of commit activity
    Jupyter Notebook 6 MIT 4 0 0 Updated Nov 6, 2025
  • survival-LCS Public
    UrbsLab/survival-LCS’s past year of commit activity
    Python 1 GPL-3.0 1 0 0 Updated Sep 5, 2025
  • scikit-ExSTraCS Public

    A scikit-learn implementation based on ExSTraCS 2.0

    UrbsLab/scikit-ExSTraCS’s past year of commit activity
    Jupyter Notebook 11 GPL-3.0 3 1 3 Updated Jun 3, 2025
  • scikit-eLCS Public

    A scikit-learn-compatible Python implementation of eLCS, a supervised learning variant of Learning Classifier Systems

    UrbsLab/scikit-eLCS’s past year of commit activity
    Jupyter Notebook 19 GPL-3.0 9 1 2 Updated Jun 17, 2024
  • scikit-XCS Public

    scikit learn compatible implementation of XCS, the most popular and best studied learning classifier system algorithm to date.

    UrbsLab/scikit-XCS’s past year of commit activity
    Jupyter Notebook 12 GPL-3.0 9 0 3 Updated Jun 17, 2024
  • GAMETES Public

    Source code for the Genetic Architecture Model Emulator for Testing and Evaluating Software (GAMETES) is an algorithm for the generation of complex single nucleotide polymorphism (SNP) models for simulated association studies.

    UrbsLab/GAMETES’s past year of commit activity
    Java 5 2 0 0 Updated Jun 11, 2024

Most used topics

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