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gradHEP (gradhep)

gradHEP

gradhep

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Applying differentiable programming to high-energy physics. Join our mattermost chat with the link below, where we discuss + have irregular meetings!

Home Page:https://mattermost.web.cern.ch/signup_user_complete/?id=zf7w5rb1miy85xsfjqm68q9hwr

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gradHEP's repositories

neos

Upstream optimisation for downstream inference

Language:Jupyter NotebookLicense:BSD-3-ClauseStargazers:67Issues:3Issues:10

relaxed

Provides differentiable versions of common HEP operations and objectives.

Language:PythonLicense:BSD-3-ClauseStargazers:23Issues:5Issues:7

center

The center for all things differentiable analysis!

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:6Issues:9Issues:9

Snowmass-LOI-Diff-Programming-HEP

Snowmass Letter of Interest describing Differentiable Programming in HEP

Language:TeXStargazers:5Issues:2Issues:0

neos-scratch

various studies and demos relating to neos -- see gradhep/neos for the full repo

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:2Issues:2Issues:0

gradhep.github.io

Redirects to gradhep/center

Language:HTMLLicense:Apache-2.0Stargazers:0Issues:2Issues:2

pyhf

pure-Python HistFactory implementation with tensors and autodiff

Language:PythonLicense:Apache-2.0Stargazers:0Issues:0Issues:0