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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 Public

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

    Jupyter Notebook 76 10

  2. 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 Public

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

    Jupyter Notebook 19 9

  4. scikit-ExSTraCS Public

    A scikit-learn implementation based on ExSTraCS 2.0

    Jupyter Notebook 9 2

  5. 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 4 2

  6. 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 26 repositories
  • 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.

    0 0 0 0 Updated Apr 8, 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.

    Jupyter Notebook 4 MIT 2 0 0 Updated Mar 29, 2025
  • 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 MIT 73 0 0 Updated Jan 23, 2025
  • LCS-Visualization-Pipeline Public

    LCS Discovery and Visualization Environment (LCS-DIVE)

    Python 4 GPL-3.0 2 0 0 Updated Jan 17, 2025
  • survival-LCS Public
    Python 0 GPL-3.0 1 0 0 Updated Jan 7, 2025
  • STREAMLINE Public

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

    Jupyter Notebook 76 GPL-3.0 10 2 0 Updated Aug 14, 2024
  • scikit-ExSTraCS Public

    A scikit-learn implementation based on ExSTraCS 2.0

    Jupyter Notebook 9 GPL-3.0 2 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

    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.

    Jupyter Notebook 13 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.

    Java 4 1 0 0 Updated Jun 11, 2024