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Author:
Thomas Rauter
Summary:
Build sparsely connected PyTorch neural networks from prior-knowledge graphs, with optional feature- and node-level attribution.
Latest version:
0.2.0
Required dependencies:
numpy
|
pandas
|
torch
Optional dependencies:
anndata
|
black
|
build
|
captum
|
graphviz
|
ipykernel
|
ipython
|
ipywidgets
|
mike
|
mkdocs
|
mkdocs-include-markdown-plugin
|
mkdocs-jupyter
|
mkdocs-material
|
mkdocstrings
|
mypy
|
nbconvert
|
pymdown-extensions
|
pytest
|
pytest-cov
|
ruff
|
scikit-learn
|
seaborn
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