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QIP / JUNIQ platform / qiskit-juqcs
MIT LicenseUpdated -
Postprocessing routines to evaluate the results of the analysis of emission factors within the UBA project
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This package provides some helper functions for signal processing of PLI data in Deep Learning pipelines. The package is fully written in Python and compatible with PyTorch.
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This Repo includes the simulation and the plotting codes for the paper [arXiv:2212.14482], [doi:10.3390/nano13040723]
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Source code and data corresponding to the publication 'Reliability and subject specificity of personalized whole-brain dynamical models'
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Schiffer, Christian / bb3d
Apache License 2.0Updated -
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