5 open source projects by jmschrei

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

Yet Another Hidden Markov Model repository.

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.readthedocs.io/en/latest/index.html

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

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.