Software and tools – Machine Learning for Fundamental Physics

Using Local Computing Resources

Machine Learning at NERSC. If you do not have an account on Cori, we have an ML Group account (m3705) you can use while you become familiar with the computing environment. For access details, please email Ben Nachman. Another great resource is this wiki from Astro250 which Peter Nugent prepared; it has many useful examples for using NERSC resources.

Scikit-HEP The Scikit-HEP project is a community-driven and community-oriented project with the aim of providing Particle Physics at large with an ecosystem for data analysis in Python. There are many useful tools in this package, but one of the most useful is uproot, which is a minimalist ROOT I/O in pure Python and Numpy – makes it very easy to use ROOT files for ML with Python.