AutoML library for deep learning

Tidy Tools for Visualizing Mixture Models

Plugins for the Ensembl Variant Effect Predictor (VEP)

Foundation of vector-like and list-like containers in Bioconductor

Create anatograms using ggplot2

Resources for learning Python

Public facing deeplift repo

Bayesian non-parametric clustering (BnpC) of binary data with missing values and uneven error rates

Supervised Adversarial Alignment of Single-Cell RNA-seq Data

SCARLET (Single-cell Algorithm for Reconstructing Loss-supported Evolution of Tumors) is an algorithm that reconstructs tumor phylogenies from single-cell DNA sequencing data. SCARLET uses a loss-s…

Non-negative Matrix Factorization

Advanced R: a book

Simulation of Parametric Survival Model with Prediction Intervals

Sparse Filtering

A Tool to Annotate and Prioritize Exome Variants

This repository contains the code for a video captioning system inspired by Sequence to Sequence -- Video to Text. This system takes as input a video and generates a caption in English describing t…

Caffe: a fast open framework for deep learning.

Caffe code to accompany my Tutorial on Variational Autoencoders

Public repo containing code to train, visualize, and evaluate semi-supervised topic models and baselines for regression/classification on labeled bag-of-words dataset, as described in Hughes et al.…

RNASeq pipeline

Easily install and load the tidymodels packages

Convert statistical analysis objects from R into tidy format

ggplot2: elegant graphics for data analysis

Single cell somatic genotyper

The source code of the function spectralclustering and user handles

Fast methods for non-negative matrix tri-factorization

A Shiny App for visualizing genomic data

SigMa is a probabilistic model for the sequential dependencies of mutation signatures