Weakly Supervised Learning Python Packages

rubrix

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

argilla-server

Open-source tool for exploring, labeling, and monitoring data for NLP projects.

spacy-partial-tagger

A simple library for training named entity recognition model from partially annotated data

biquality-learn

A Python Library for Biquality Learning

argilla-v1

Open-source tool for exploring, labeling, and monitoring data for NLP projects.

ws-benchmark

a benchmark for weak supervision

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.

hyperlm

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

t50metrics

A transformer-inspired neural network for surgical action triplet recognition from laparoscopic videos.