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1. pomegranate pomegranate Public

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

   Python 3.4k 590

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 500 48

3. tfmodisco-lite tfmodisco-lite Public

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

   Python 58 16

4. dragonnfruit dragonnfruit Public

   A method for analyzing scATAC-seq experiments.

   Python 23 9

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 55

6. tangermeme tangermeme Public

   Biological sequence analysis for the modern age.

   Python 193 12