The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
-
Updated
Mar 17, 2023 - Python
The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
A system for quickly generating training data with weak supervision
skweak: A software toolkit for weak supervision applied to NLP tasks
BOND: BERT-Assisted Open-Domain Name Entity Recognition with Distant Supervision
Labelling platform for text using weak supervision.
[NAACL 2021] This is the code for our paper `Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self-Training Approach'.
WRENCH: Weak supeRvision bENCHmark
Implementation of CRAFT Text Detection
Self-training with Weak Supervision (NAACL 2021)
Weakly Supervised End-to-End Learning (NeurIPS 2021)
A curated list of programmatic weak supervision papers and resources
Framework to learn Named Entity Recognition models without labelled data using weak supervision.
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.
Named Entity Recognition with Small Strongly Labeled and Large Weakly Labeled Data
Labeling is boring. Use this tool to speed up your next object detection project!
SPEAR: Programmatically label and build training data quickly.
Dataset for paper "Weak Supervision for Fake News Detection via Reinforcement Learning" published in AAAI'2020.
Weakly supervised medical named entity classification
Manga&Comic text detection
Add a description, image, and links to the weak-supervision topic page so that developers can more easily learn about it.
To associate your repository with the weak-supervision topic, visit your repo's landing page and select "manage topics."