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University of Wisconsin-Madison
- Madison, WI
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00:07
(UTC -05:00) - https://pages.hep.wisc.edu/~athete/
Highlights
- Pro
Stars
Basic tools and wrappers for enabling not-too-alien syntax when running columnar Collider HEP analysis.
Automatic parametric modeling with symbolic regression
Examples for using coffea tools on the JupyterLab interface at the University of Wisconsin Analysis Facility
Reconstruct billions of particle trajectories with graph neural networks
A library for evaluating particle track reconstruction
A library for programmatically generating equivariant layers through constraint solving
[JHEP] An Efficient Lorentz Equivariant Graph Neural Network for Jet Tagging
a 5 day, 10 hour introduction to machine learning mini-course
NotesTeX (or its nickname NoTeX) is a simple LaTeX notes taking package for students.
Examples of how to create colorful, annotated equations in Latex using Tikz.
CS F425 Deep Learning course at BITS Pilani (Goa Campus)
A probabilistic deep learning framework using Bayesian Neural Networks (TF-Probability) to infer high-dimensional physical parameters with quantified uncertainty, replacing computationally expensiv…