Github Page
Hsf Training Ml Gpu Webpage
This tutorial explores Machine Learning using GPU-enabled PyTorch for applications in high energy physics.
It follows directly from the Introduction to Machine Learning lesson written by Meirin Evans.
For physicists working on analysis in data-intensive fields such as particle physics, it’s quite common these days to start developing new machine learning applications. But many machine learning applications run more efficiently on GPU.
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Licence: Other (Attribution)
Resource type: Github Page
Status: Active
Prerequisites:
A Kaggle account. Click here to create an account
Basic Python knowledge, e.g. through the Software Carpentry Programming with Python lesson
Basic ML knowledge, e.g. through the Introduction to Machine Learning lesson
Date created: 2020-10-26
Date modified: 2025-10-20
Date published: 2025-10-20
Contributors: lukepolson, rgaiacs, as595, fmichonneau, gvwilson, maxim-belkin, klieret, abbycabs, katrinleinweber, meevans1, pre-commit-ci[bot], JoaoRodrigues, wdconinc, danikam, amanmdesai, twitwi, mawds, eduardo-rodrigues, pbanaszkiewicz, wclose, mr-c, jsta, ErinBecker, afortiorama, neon-ninja, tracykteal, evanwill, zkamvar, brownsarahm, raynamharris
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