A system for quickly generating training data with weak supervision
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Updated
May 2, 2024 - Python
A system for quickly generating training data with weak supervision
The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
Argilla is a collaboration platform for AI engineers and domain experts that require high-quality outputs, full data ownership, and overall efficiency.
skweak: A software toolkit for weak supervision applied to NLP tasks
Implementation of CRAFT Text Detection
Manga&Comic text detection
BOND: BERT-Assisted Open-Domain Name Entity Recognition with Distant Supervision
Labeling is boring. Use this tool to speed up your next object detection project!
Named Entity Recognition with Small Strongly Labeled and Large Weakly Labeled Data
[NeurIPS 2021] WRENCH: Weak supeRvision bENCHmark
Framework to learn Named Entity Recognition models without labelled data using weak supervision.
A curated list of programmatic weak supervision papers and resources
[NAACL 2021] This is the code for our paper `Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self-Training Approach'.
Dataset for paper "Weak Supervision for Fake News Detection via Reinforcement Learning" published in AAAI'2020.
Self-training with Weak Supervision (NAACL 2021)
Weakly supervised medical named entity classification
SPEAR: Programmatically label and build training data quickly.
Labelling platform for text 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.
Official data release to reproduce Confident Learning paper results
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