Awesome Open Source

Programming Languages

Search results for weak supervision

weak-supervision x

43 search results found

Cleanlab ⭐ 8,696

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

Snorkel ⭐ 5,692

A system for quickly generating training data with weak supervision

Argilla ⭐ 3,097

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

Nlp Labelling ⭐ 256

Labelling platform for text using weak supervision.

[NeurIPS 2021] WRENCH: Weak supeRvision bENCHmark

Craft Remade ⭐ 172

Implementation of CRAFT Text Detection

This is the code for our paper `Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self-Training Approach' (In Proc. of NAACL-HLT 2021).

Self-training with Weak Supervision (NAACL 2021)

Weakly Supervised End-to-End Learning (NeurIPS 2021)

Auto_annotate ⭐ 134

Labeling is boring. Use this tool to speed up your next object detection project!

Awesome Weak Supervision ⭐ 128

A curated list of programmatic weak supervision papers and resources

BOND: BERT-Assisted Open-Domain Name Entity Recognition with Distant 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.

SPEAR: Programmatically label and build training data quickly.

Comic Text Detector ⭐ 97

Manga&Comic text detection

Weak Supervision For Ner ⭐ 97

Framework to learn Named Entity Recognition models without labelled data using weak supervision.

Amazon Weak Ner Needle ⭐ 92

Named Entity Recognition with Small Strongly Labeled and Large Weakly Labeled Data

Weakly supervised medical named entity classification

Zeroshot_topics ⭐ 47

Topic Inference with Zeroshot models

Concept Based Xai ⭐ 37

Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI

A system for prompted weak supervision.

Coarse3d ⭐ 35

COARSE3D: Class-Prototypes for Contrastive Learning in Weakly-Supervised 3D Point Cloud Segmentation (BMVC 2022)

Learning From Rules ⭐ 35

Implementation of experiments in paper "Learning from Rules Generalizing Labeled Exemplars" to appear in ICLR2020 (https://openreview.net/forum?id=SkeuexBtDr)

Chmm Alt ⭐ 27

Code for "BERTifying the Hidden Markov Model for Multi-Source Weakly Supervised Named Entity Recognition"

Confidentlearning Reproduce ⭐ 26

Official data release to reproduce Confident Learning paper results

Tagruler ⭐ 25

Data programming by demonstration for information extraction and span annotation

Wefend Aaai20 ⭐ 23

Dataset for paper "Weak Supervision for Fake News Detection via Reinforcement Learning" published in AAAI'2020.

Rare Disease Identification ⭐ 21

Rare disease identification from free-text clinical notes with ontologies and weak supervision

Spacy Partial Tagger ⭐ 17

A simple library for training named entity recognition model from partially annotated data

Semantichashingweaksupervision ⭐ 15

The pyTorch implementation of two models described in Deep Semantic Text Hashing with Weak Supervision (SIGIR'18)

PyTorch implementation of AAAI 2021 paper: A Hybrid Attention Mechanism for Weakly-Supervised Temporal Action Localization

Data Programming by Demonstration (DPBD) for Document Classification

Keyclass ⭐ 10

Code for "Classifying Unstructured Clinical Notes via Automatic Weak Supervision", MLHC 2022.

Scikit Clean ⭐ 9

A collection of algorithms for detecting and handling label noise

Scaffolded Learning Regime for training maritime obstacle detection networks

Neural Hidden Crf ⭐ 7

Code for the KDD-2023 paper: Neural-Hidden-CRF: A Robust Weakly-Supervised Sequence Labeler

Big Old Heuristic Repository

Sparse Chmm ⭐ 6

Sparse conditional hidden Markov model for weakly supervised NER

❤️ GDCurer: An AI-assisted Drug Dosage Prediction System for Graves' Disease

[NAACL 2022] This is the code repo for our paper `ACTUNE: Uncertainty-Aware Active Self-Training for Active Fine-Tuning of Pretrained Language Models'.

Code for paper entitled "Learning to detect RFI in radio astronomy without seeing it"

Adamatch Tf ⭐ 5

Includes additional materials for the following keras.io blog post.

Related Searches

Python Weak Supervision (25)

Machine Learning Weak Supervision (21)

Weakly Supervised Learning Weak Supervision (21)

1-43 of 43 search results

Privacy | About | Terms | Follow Us On Twitter

Copyright 2018-2024 Awesome Open Source. All rights reserved.