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

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

argilla-v1

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

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

biquality-learn

A Python Library for Biquality Learning

label-relaxation

Supplementary material and code for "From Label Smoothing to Label Relaxation" as published at AAAI 2021.

wsad-dt

Official implementation of WSAD-DT: Weakly Supervised Anomaly Detection via Dual-Tailed Kernel (ICML 2025)

ws-benchmark

[NeurIPS 2021] WRENCH: Weak supeRvision bENCHmark

t50metrics

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