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@EpistasisLab

Epistasis Lab at Cedars Sinai

Prof. Jason H. Moore's research lab at Cedars Sinai

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  1. tpot tpot Public

    A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

    Jupyter Notebook 9.9k 1.6k

  2. pmlb pmlb Public

    PMLB: A large, curated repository of benchmark datasets for evaluating supervised machine learning algorithms.

    Python 817 138

  3. KRAGEN KRAGEN Public

    Software to implement GoT with a weviate vectorized database

    Python 655 42

  4. scikit-rebate scikit-rebate Public

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

    Python 416 73

  5. Aliro Aliro Public

    Aliro: AI-Driven Data Science

    JavaScript 230 63

  6. tpot2 tpot2 Public

    A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

    Jupyter Notebook 228 31

Repositories

Showing 10 of 76 repositories
  • KRAGEN Public

    Software to implement GoT with a weviate vectorized database

    Python 655 MIT 42 18 (1 issue needs help) 0 Updated Mar 5, 2025
  • escargot Public
    Python 12 MIT 0 1 0 Updated Mar 3, 2025
  • pmlbr Public Forked from trangdata/pmlblite

    pmlb is an R interface to the Penn Machine Learning Benchmarks data repository

    R 9 2 0 0 Updated Feb 28, 2025
  • tpot Public

    A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

    Jupyter Notebook 9,856 LGPL-3.0 1,575 286 13 Updated Feb 26, 2025
  • pmlb Public

    PMLB: A large, curated repository of benchmark datasets for evaluating supervised machine learning algorithms.

    Python 817 MIT 138 17 (5 issues need help) 0 Updated Feb 25, 2025
  • tpot2 Public

    A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

    Jupyter Notebook 228 LGPL-3.0 31 52 2 Updated Feb 4, 2025
  • PAGER Public

    PAGER is an efficient genotype encoding strategy designed to improve the detection of non-additive genetic variation in complex trait association studies. PAGER dynamically encodes genetic variants by normalizing mean phenotypic differences between genotype classes.

    Python 2 1 0 0 Updated Jan 3, 2025
  • Aliro Public

    Aliro: AI-Driven Data Science

    JavaScript 230 GPL-3.0 63 58 (3 issues need help) 32 Updated Oct 7, 2024
  • SynTwin Public

    SynTwin: A graph-based approach for predicting clinical outcomes using digital twins derived from synthetic patients

    Jupyter Notebook 1 0 0 0 Updated Oct 2, 2024
  • AlzKB Public
    Python 15 2 0 0 Updated Sep 3, 2024