Weakly Supervised Learning Python Packages

rubrix

Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets

argilla-server

Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets

spacy-partial-tagger

Sequence Tagger for Partially Annotated Dataset in spaCy

biquality-learn

A Python Library for Biquality Learning

argilla-v1

Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets

hyperlm

A hyper label model to aggregate multiple weak labels in a single forward pass

ws-benchmark

[NeurIPS 2021] WRENCH: Weak supeRvision bENCHmark

knodle

A PyTorch-based open-source framework that provides methods for improving the weakly annotated data and allows researchers to efficiently develop and compare their own methods.

t50metrics

A example Python package