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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 68 9

  2. 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 4 1

  3. scikit-eLCS scikit-eLCS Public

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

    Jupyter Notebook 19 8

  4. scikit-ExSTraCS scikit-ExSTraCS Public

    A scikit-learn implementation based on ExSTraCS 2.0

    Jupyter Notebook 7 1

  5. 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 2 2

  6. 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

Repositories

Showing 10 of 25 repositories
  • 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 2 MIT 2 0 0 Updated Nov 4, 2024
  • 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 73 0 0 Updated Oct 28, 2024
  • 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 68 GPL-3.0 9 2 0 Updated Aug 14, 2024
  • scikit-ExSTraCS Public

    A scikit-learn implementation based on ExSTraCS 2.0

    UrbsLab/scikit-ExSTraCS’s past year of commit activity
    Jupyter Notebook 7 GPL-3.0 1 0 2 Updated Jun 17, 2024
  • 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 8 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 13 GPL-3.0 8 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 4 1 0 0 Updated Jun 11, 2024
  • UrbsLab/survival-LCS’s past year of commit activity
    Python 0 GPL-3.0 0 0 0 Updated Apr 12, 2024
  • I2C2-Documentation Public Forked from EpistasisLab/LPC

    Documentation and informational resources for LPC use

    UrbsLab/I2C2-Documentation’s past year of commit activity
    Python 2 MIT 8 0 0 Updated Nov 27, 2023
  • LCS-Visualization-Pipeline Public

    LCS Discovery and Visualization Environment (LCS-DIVE)

    UrbsLab/LCS-Visualization-Pipeline’s past year of commit activity
    Python 3 GPL-3.0 1 0 4 Updated Jul 19, 2023

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