learning-with-noisy-labels topic

The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

cleanlab

Labelling platform for text using weak supervision.

dataqa

[NAACL 2021] This is the code for our paper `Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self-Training Approach'.

yueyu1030

A curated (most recent) list of resources for Learning with Noisy Labels

weijiaheng

Weakly supervised medical named entity classification

som-shahlab

PyTorch implementation for Learning with Twin Noisy Labels for Visible-Infrared Person Re-Identification (CVPR 2022).

XLearning-SCU

A pytorch implementation for "Neighborhood Collective Estimation for Noisy Label Identification and Correction", which is accepted by ECCV2022.

lijichang