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Python helpers to create SCALE TRISO compact reactors for CE Monte Carlo
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PACES / WBM-hydro-ReEDS
BSD 2-Clause "Simplified" LicenseUpdated -
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Yin, Junqi / Decentralized Learning Sandbox
Apache License 2.0Decentralized learning experiments on Summit
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Tutorials and scripts to use Summit in order to scale up your Python deep learning projects. It covers basics of data parallelism and goes over what to add in your code to parallelize your training process.
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Zhang, Chen / NeuNorm
BSD 3-Clause "New" or "Revised" LicenseNeutron Imaging Loading and Normalization Tools
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SCALE / Code / external / celeritas
Apache License 2.0Updated -
Mukherjee, Debangshu / Kinga Steels 4D-STEM
MIT LicenseUpdated -
sns-hfir-scse / sans / sans-backend
GNU General Public License v3.0 or laterSANS reduction backend - https://sans.ornl.gov - https://drtsans.readthedocs.io
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Code to reproduce the results found in "Simulating the Shastry-Sutherland Ising Model using Quantum Annealing." Manuscript can be found at https://arxiv.org/abs/2003.01019.
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