Deep Learning and General Machine Learning

Machine Learning and Deep Learning are increasingly used to analyze scientific data, in fields as diverse as neuroscience, climate science and particle physics. In this page you will find links to examples of scientific use cases using deep learning at NERSC, information about what deep learning packages are available at NERSC, and details of how to scale up your deep learning code on Cori to take advantage of the compute power available from Cori's KNL nodes. We have assembled some examples of machine learning projects being carried out at NERSC, in most cases including links to the codebase. NERSC supports several software frameworks for machine learning and deep learning. If there is a framework you would like to see evaluated and supported at NERSC, please let us know.