data-attribution
A toolkit for quantitative evaluation of data attribution methods.
Computation-level data lineage, gradient attribution, and provenance-guided unlearning in production ML.
A unified framework for attributing model behavior to model components, training data, and training dynamics.
Training data attribution for scikit-learn: influence functions, leave-one-out, Data Banzhaf, bootstrap, and a functional-influence engine for fairness and scalar-property auditing
