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Python helpers to create SCALE TRISO compact reactors for CE Monte Carlo
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Zhang, Chen / iMars3D
BSD 3-Clause "New" or "Revised" LicensePreprocessing and reconstruction for the Neutron Imaging Beam Lines
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PACES / WBM-hydro-ReEDS
BSD 2-Clause "Simplified" LicenseUpdated -
rse-public / amr_io_evaluation
MIT LicenseDocuments and data associated with the Proxy App AMR I/O Evalation project.
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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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SCALE / Code / external / celeritas
Apache License 2.0Updated -
Mukherjee, Debangshu / Kinga Steels 4D-STEM
MIT LicenseUpdated -
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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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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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