machine-unlearning
Minimal, efficient covariance-based engram extraction for editing HuggingFace LLMs
Machine Unlearning for Random Forests
Computation-level data lineage, gradient attribution, and provenance-guided unlearning in production ML.
A cutting-edge unlearning framework that enables AI models to selectively forget learned data, ensuring compliance, privacy, and adaptability.
Machine Unlearning in Large Language Models for PyTorch
