multilabel
scikit-learn cross validators for iterative stratification of multilabel data
Skeleton extraction via voxel thinning for multi-teravoxel scale images using sand based attacks.
Unsupervised multilabel image segmentation (color/gray/multichannel) based on the Potts model (aka piecewise constant Mumford-Shah model)
Multi-label stratified splits, while preserving group independence. Includes a stratification chart and report.
