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  1. pomegranate pomegranate Public

    Fast, flexible and easy to use probabilistic modelling in Python.

    Python 3.3k 582

  2. apricot apricot Public

    apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine learning models quickly. See the documentation page: https://apricot-select.rea…

    Jupyter Notebook 489 46

  3. tfmodisco-lite tfmodisco-lite Public

    A lite implementation of tfmodisco, a motif discovery algorithm for genomics experiments.

    Python 46 14

  4. dragonnfruit dragonnfruit Public

    A method for analyzing scATAC-seq experiments.

    Python 17 6

  5. ledidi ledidi Public

    Ledidi turns any machine learning model into a biological sequence editor, allowing you to design sequences with desired properties.

    Jupyter Notebook 54 1

  6. tangermeme tangermeme Public

    Biological sequence analysis for the modern age.

    Python 91 2