Contains public data preparation and model training code for the Computational Medicine Lab.
The tools directory contains useful scripts for installing a work
envrionment; see tools/build_env.sh for details. Our major dependencies are
numpy, scipy, scikit-learn, and pytorch. We prefer micromamba for installing
python and managing the base environment but pip for installing third-party
packages.