REAL-Lab-Imperial/eval-unlearn-packages

eval-unlearn-packages Technique and metric implementation packages for eval-unlearn — a benchmarking framework for evaluating concept-unlearning techniques in text-to-image diffusion models. eval-unlearn installs from PyPI as a lightweight core package; this repository hosts the standalone, installable implementations it delegates to for each unlearning technique and adversarial-attack metric, so users only pull in what they actually need: Techniques: esd, mace, uce, ssd, ca… See the full description on the dataset page: https://huggingface.co/datasets/REAL-Lab-Imperial/eval-unlearn-packages.

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