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@scikit-learn

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

    Jupyter Notebook 2.4k 443

  2. 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 278 27

  3. Avocado is a multi-scale deep tensor factorization model that learns a latent representation of the human epigenome and enables imputation of epigenomic experiments that have not yet been performed.

    Jupyter Notebook 78 12

  4. Prediction of the 3D structure of the genome through statistically significant Hi-C contacts.

    Jupyter Notebook 20 5

  5. Various notebooks and tutorials on subjects of interest.

    Jupyter Notebook 37 17

  6. Ledidi is a method for designing edits to biological sequences (such as genomic loci) that induce desired characteristics.

    Python 3

201 contributions in the last year

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August 2020

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