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Author:
J.A. Marin
Summary:
An experimental toolkit for modeling and benchmarking irregular legal-event trajectories with liquid, recurrent, and attention-based neural models.
Latest version:
0.1.0
Required dependencies:
ncps
|
numpy
|
torch
Optional dependencies:
build
|
pytest
|
scikit-learn
|
twine
|
xgboost
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