Andrew L. Beam

medical-data.

deep_learning_works. Code to accompany "You can probably use deep learning even if your data isn't that big" blog post

cui2vec. R

BNN. Bayesian Neural Networks

HMC_GPU. Code to accompany the paper "Fast Hamiltonian Monte Carlo Using GPU Computing"

deeplearning_101. Jupyter Notebook

language-model. Python

Medical-Embeddings-Benchmark. R

Disease-Ontology-Tools. Python

mimic3-nicu-benchmarks. Python suite to construct benchmark machine learning datasets from the MIMIC-III clinical database.

patient2vec. Python

cookiecutter-data-science. A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

HSPH_lecture. Lecture given at HSPH on 10/25/2017

CheXNet-Keras. This project is a tool to build CheXNet-like models, written in Keras.

wdnn. Python

BMI-703. Notebooks for BMI 703 Guest Lecture on Deep Learning

Spearmint. Spearmint Bayesian optimization codebase

lasic. R