omniloader¶

OmniLoader: a PyTorch meta data loader for disjoint, multi-task datasets.

OmniLoader unifies several datasets with heterogeneous annotations into a single masked sample scheme so a model can be trained jointly across all of them. It is modality- and model-agnostic: it reasons only about vectors and sequences. See OmniLoader for the entry point.