Jacob Schreiber

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

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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.readth...

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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.

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Various notebooks and tutorials on subjects of interest.

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Tools used to analyze data from nanopore-based experiments.

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

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A temporary repository hosting a pomegranate re-write using PyTorch as the backend.

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Yet Another Hidden Markov Model repository.

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This repository hosts a minimal version of a Python API for BPNet.

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A method for analyzing scATAC-seq experiments.

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