Jacob Schreiber's Projects
GUI for analyzing nanopore data, based on the Abada package.
Bioinformatic tools for biologists, made pythonic!
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
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.
A curated list of awesome Machine Learning frameworks, libraries and software.
Inference of the 3D structure of genomes
This repository hosts a minimal version of a Python API for BPNet.
Repository for the data and associated notebook for the manuscript "Finding the optimal Bayesian network given a constraint graph."
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
Experiments with Deep Learning
A method for analyzing scATAC-seq experiments.
gReLU is a python library to train, interpret, and apply deep learning models to DNA sequences.
Hidden Markov Models in Python, with scikit-learn like API
Repository for my ipython notebooks.
because it can't alope
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.
Kiwano implements an approach for prioritizing epigenomic and transcriptomic characterization based on submodular selection and imputed experiments
Ledidi turns any machine learning model into a biological sequence editor, allowing you to design sequences with desired properties.
Survival analysis in Python
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Go, Javascript and more
Myria is a scalable Analytics-as-a-Service platform based on relational algebra.
Various notebooks and tutorials on subjects of interest.
Fast, flexible and easy to use probabilistic modelling in Python.
This is an archive of pomegranate 0.14.8 before the PyTorch remake for posterity.
A temporary repository to play around with building wheels for the notoriously popular and industry revolutionizing package 'pomegranate'
Py2neo is a simple and pragmatic Python library that provides access to the popular graph database Neo4j via its RESTful web service interface. With no external dependencies, installation is straightforward and getting started with coding is easy. The library is actively maintained on GitHub, regularly updated in the Python Package Index and is built uniquely for Neo4j in close association with its team and community.
Tools used to analyze data from nanopore-based experiments.
Simple structured learning framework for python