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License:
MIT License
Copyright (c) 2026 Dilyara Bareeva, Galip Ümit Yolcu, Anna Hedström, Niklas Schmolenski, Thomas Wiegand, Wojciech Samek, Sebastian Lapuschkin
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Summary:
Toolkit for quantitative evaluation of data attribution methods in PyTorch.
Latest version:
0.5.0
Required dependencies:
annoy
|
captum
|
datasets
|
dattri
|
kronfluence
|
lightning
|
numpy
|
pillow
|
pyarrow
|
pyyaml
|
tiktoken
|
torch
|
torcheval
|
torchmetrics
|
torchvision
|
tqdm
|
traker
|
transformers
Optional dependencies:
coverage
|
furo
|
hydra-core
|
hydra-joblib-launcher
|
hydra-optuna-sweeper
|
matplotlib
|
mypy
|
nltk
|
numpydoc
|
optuna
|
pillow
|
pre-commit
|
pytest
|
pytest-cov
|
pytest-mock
|
python-dotenv
|
ruff
|
sphinx
|
sphinx-rtd-theme
|
tensorboard
|
torchvision
|
types-pillow
|
types-pyyaml
|
types-tqdm
|
wandb
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