github/rrwick/Deepbinner

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 0.288
pypi keras 0.148
pypi edlib 0.141
pypi mappy 0.141
pypi noise 0.141
requirements.txt github/rrwick/Deepbinner 0.01
pypi h5py 0.008
pypi tensorflow-estimator 0.006
pypi tensorboard 0.006
pypi grpcio 0.006
pypi tensorflow-io-gcs-filesystem 0.006
pypi wrapt 0.006
pypi typing-extensions 0.006
pypi termcolor 0.006
pypi six 0.006
pypi setuptools 0.006
pypi protobuf 0.006
pypi packaging 0.006
pypi opt-einsum 0.006
pypi libclang 0.006
pypi keras-preprocessing 0.006
pypi google-pasta 0.006
pypi gast 0.006
pypi flatbuffers 0.006
pypi astunparse 0.006
pypi absl-py 0.006
pypi tensorflow 0.001

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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