weak-supervision
There are 80 repositories under weak-supervision topic.
cleanlab/cleanlab
Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
snorkel-team/snorkel
A system for quickly generating training data with weak supervision
argilla-io/argilla
Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets
NorskRegnesentral/skweak
skweak: A software toolkit for weak supervision applied to NLP tasks
cliang1453/BOND
BOND: BERT-Assisted Open-Domain Name Entity Recognition with Distant Supervision
dmMaze/comic-text-detector
Manga&Comic text detection
dataqa/nlp-labelling
Labelling platform for text using weak supervision.
JieyuZ2/wrench
[NeurIPS 2021] WRENCH: Weak supeRvision bENCHmark
yueyu1030/COSINE
[NAACL 2021] This is the code for our paper `Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self-Training Approach'.
autonise/CRAFT-Remade
Implementation of CRAFT Text Detection
JieyuZ2/Awesome-Weak-Supervision
A curated list of programmatic weak supervision papers and resources
AlvaroCavalcante/auto_annotate
Labeling is boring. Use this tool to speed up your next object detection project!
microsoft/ASTRA
Self-training with Weak Supervision (NAACL 2021)
autonlab/weasel
Weakly Supervised End-to-End Learning (NeurIPS 2021)
yaqingwang/WeFEND-AAAI20
Dataset for paper "Weak Supervision for Fake News Detection via Reinforcement Learning" published in AAAI'2020.
NorskRegnesentral/weak-supervision-for-NER
Framework to learn Named Entity Recognition models without labelled data using weak supervision.
decile-team/spear
SPEAR: Programmatically label and build training data quickly.
knodle/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.
amzn/amazon-weak-ner-needle
Named Entity Recognition with Small Strongly Labeled and Large Weakly Labeled Data
blaz-r/SuperSimpleNet
Official implementation of SuperSimpleNet
som-shahlab/trove
Weakly supervised medical named entity classification
maxent-ai/zeroshot_topics
Topic Inference with Zeroshot models
BatsResearch/alfred
A system for prompted weak supervision. Alfred is a powerful tool that leverages large language models to accelerate data annotation.
dmitrykazhdan/concept-based-xai
Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI
awasthiabhijeet/Learning-From-Rules
Implementation of experiments in paper "Learning from Rules Generalizing Labeled Exemplars" to appear in ICLR2020 (https://openreview.net/forum?id=SkeuexBtDr)
astra-vision/COARSE3D
COARSE3D: Class-Prototypes for Contrastive Learning in Weakly-Supervised 3D Point Cloud Segmentation (BMVC 2022)
asrafulashiq/hamnet
PyTorch implementation of AAAI 2021 paper: A Hybrid Attention Mechanism for Weakly-Supervised Temporal Action Localization
cgnorthcutt/confidentlearning-reproduce
Official data release to reproduce Confident Learning paper results
megagonlabs/ruler
Data Programming by Demonstration (DPBD) for Document Classification
megagonlabs/tagruler
Data programming by demonstration for information extraction and span annotation
rz-zhang/PRBoost
The codes for our ACL'22 paper: PRBOOST: Prompt-Based Rule Discovery and Boosting for Interactive Weakly-Supervised Learning.
acadTags/Rare-disease-identification
Rare disease identification from free-text clinical notes with ontologies and weak supervision
Yinghao-Li/CHMM-ALT
Code for "BERTifying the Hidden Markov Model for Multi-Source Weakly Supervised Named Entity Recognition"
benbo/interactive-weak-supervision
Interactive Weak Supervision: Learning Useful Heuristics for Data Labeling
doccano/spacy-partial-tagger
A simple library for training named entity recognition model from partially annotated data
autonlab/KeyClass
Code for "Classifying Unstructured Clinical Notes via Automatic Weak Supervision", MLHC 2022.