There are 23 repositories under weak-supervision topic.
A system for quickly generating training data with weak supervision
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
BOND: BERT-Assisted Open-Domain Name Entity Recognition with Distant Supervision
Labelling platform for text using weak supervision.
Implementation of CRAFT Text Detection
A curated list of programmatic weak supervision papers and resources
Manga&Comic text detection
Labeling is boring. Use this tool to speed up your next object detection project!
Framework to learn Named Entity Recognition models without labelled data using weak supervision.
Dataset for paper "Weak Supervision for Fake News Detection via Reinforcement Learning" published in AAAI'2020.
SPEAR: Programmatically label and build training data quickly.
Named Entity Recognition with Small Strongly Labeled and Large Weakly Labeled Data
Weakly supervised medical named entity classification
Topic Inference with Zeroshot models
Implementation of experiments in paper "Learning from Rules Generalizing Labeled Exemplars" to appear in ICLR2020 (https://openreview.net/forum?id=SkeuexBtDr)
Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI
COARSE3D: Class-Prototypes for Contrastive Learning in Weakly-Supervised 3D Point Cloud Segmentation (BMVC 2022)
PyTorch implementation of AAAI 2021 paper: A Hybrid Attention Mechanism for Weakly-Supervised Temporal Action Localization
Official data release to reproduce Confident Learning paper results
A system for prompted weak supervision.
Data Programming by Demonstration (DPBD) for Document Classification
Data programming by demonstration for information extraction and span annotation
Code for "BERTifying the Hidden Markov Model for Multi-Source Weakly Supervised Named Entity Recognition"
Interactive Weak Supervision: Learning Useful Heuristics for Data Labeling
Rare disease identification from free-text clinical notes with ontologies and weak supervision
A simple library for training named entity recognition model from partially annotated data
Use Large Language Models like OpenAI's GPT-3.5 for data annotation and model enhancement. This framework combines human expertise with LLMs, employs Iterative Active Learning for continuous improvement, and integrates CleanLab (Confident Learning) to ensure high-quality datasets and better model performance