github/ngbusca/QuasarNET

We use CiteLang to clone this repository, and parse found dependency files to generate this credit table and badge. For each research software repository, we assign a credit split (0.5 or 50/50) to say that the research software gets 50% of the credit, and the remaining 50% is shared by the dependencies. The same holds true for the children of dependencies up until we reach a minimum level of credit in the tree, at which point we stop parsing.

Software Credit

Manager Name Credit
pypi numpy 0.403
pypi scipy 0.198
pypi fitsio 0.198
pypi h5py 0.011
requirements.txt github/ngbusca/QuasarNET 0.01
pypi keras 0.009
pypi tensorflow-estimator 0.009
pypi tensorboard 0.009
pypi grpcio 0.009
pypi tensorflow-io-gcs-filesystem 0.009
pypi wrapt 0.009
pypi typing-extensions 0.009
pypi termcolor 0.009
pypi six 0.009
pypi setuptools 0.009
pypi protobuf 0.009
pypi packaging 0.009
pypi opt-einsum 0.009
pypi libclang 0.009
pypi keras-preprocessing 0.009
pypi google-pasta 0.009
pypi gast 0.009
pypi flatbuffers 0.009
pypi astunparse 0.009
pypi absl-py 0.009
pypi tensorflow 0.002

Note that credit values are rounded and expanded (so shared dependencies are represented as one record) and may not add to 1.0. Rounded values that hit zero are removed.

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