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

    Jupyter Notebook 2.8k 515

  2. 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 400 40

  3. avocado Public

    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 97 17

  4. rambutan Public

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

    Jupyter Notebook 21 5

  5. Various notebooks and tutorials on subjects of interest.

    Jupyter Notebook 35 17

  6. ledidi Public

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

    Jupyter Notebook 9 1

125 contributions in the last year

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Jan Mon Wed Fri

Contribution activity

January 2022

Created 1 commit in 1 repository

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