Topic: weak-supervision Goto Github
Some thing interesting about weak-supervision
Some thing interesting about weak-supervision
weak-supervision,Rare disease identification from free-text clinical notes with ontologies and weak supervision
User: acadtags
weak-supervision,Labeling is boring. Use this tool to speed up your next object detection project!
User: alvarocavalcante
Home Page: https://medium.com/p/acf410a600b8#9e0e-aaa30a9f4b7a
weak-supervision,Named Entity Recognition with Small Strongly Labeled and Large Weakly Labeled Data
Organization: amzn
weak-supervision,Argilla is a collaboration platform for AI engineers and domain experts that require high-quality outputs, full data ownership, and overall efficiency.
Organization: argilla-io
Home Page: https://docs.argilla.io
weak-supervision,PyTorch implementation of AAAI 2021 paper: A Hybrid Attention Mechanism for Weakly-Supervised Temporal Action Localization
User: asrafulashiq
weak-supervision,COARSE3D: Class-Prototypes for Contrastive Learning in Weakly-Supervised 3D Point Cloud Segmentation (BMVC 2022)
Organization: astra-vision
weak-supervision,Implementation of CRAFT Text Detection
Organization: autonise
weak-supervision,Code for "Classifying Unstructured Clinical Notes via Automatic Weak Supervision", MLHC 2022.
Organization: autonlab
weak-supervision,Weakly Supervised End-to-End Learning (NeurIPS 2021)
Organization: autonlab
weak-supervision,Implementation of experiments in paper "Learning from Rules Generalizing Labeled Exemplars" to appear in ICLR2020 (https://openreview.net/forum?id=SkeuexBtDr)
User: awasthiabhijeet
weak-supervision,A system for prompted weak supervision.
Organization: batsresearch
weak-supervision,Interactive Weak Supervision: Learning Useful Heuristics for Data Labeling
User: benbo
weak-supervision,Official data release to reproduce Confident Learning paper results
User: cgnorthcutt
Home Page: https://l7.curtisnorthcutt.com/confident-learning
weak-supervision,The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
Organization: cleanlab
Home Page: https://cleanlab.ai
weak-supervision,BOND: BERT-Assisted Open-Domain Name Entity Recognition with Distant Supervision
User: cliang1453
weak-supervision,Labelling platform for text using weak supervision.
Organization: dataqa
Home Page: https://dataqa.ai/docs/
weak-supervision,SPEAR: Programmatically label and build training data quickly.
Organization: decile-team
Home Page: https://spear-decile.readthedocs.io/
weak-supervision,Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI
User: dmitrykazhdan
weak-supervision,Manga&Comic text detection
User: dmmaze
weak-supervision,A simple library for training named entity recognition model from partially annotated data
Organization: doccano
weak-supervision,Big Old Heuristic Repository
Organization: giganticode
weak-supervision,A curated list of programmatic weak supervision papers and resources
User: jieyuz2
weak-supervision,[NeurIPS 2021] WRENCH: Weak supeRvision bENCHmark
User: jieyuz2
Home Page: https://arxiv.org/abs/2109.11377
weak-supervision,Code for the KDD-2023 paper: Neural-Hidden-CRF: A Robust Weakly-Supervised Sequence Labeler
User: junchenzhi
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.
Organization: knodle
Home Page: http://knodle.cc
weak-supervision,❤️ GDCurer: An AI-assisted Drug Dosage Prediction System for Graves' Disease
User: linhaowei1
weak-supervision,Scaffolded Learning Regime for training maritime obstacle detection networks
User: lojzezust
weak-supervision,Topic Inference with Zeroshot models
Organization: maxent-ai
weak-supervision,Data Programming by Demonstration (DPBD) for Document Classification
Organization: megagonlabs
Home Page: https://drive.google.com/file/d/1iOQt81VDg9sCPcbrMWG8CR_8dOCfpKP5/view
weak-supervision,Data programming by demonstration for information extraction and span annotation
Organization: megagonlabs
weak-supervision,Code for paper entitled "Learning to detect RFI in radio astronomy without seeing it"
User: mesarcik
Home Page: https://academic.oup.com/mnras/advance-article/doi/10.1093/mnras/stac2503/6692884
weak-supervision,Self-training with Weak Supervision (NAACL 2021)
Organization: microsoft
weak-supervision,skweak: A software toolkit for weak supervision applied to NLP tasks
Organization: norskregnesentral
weak-supervision,Framework to learn Named Entity Recognition models without labelled data using weak supervision.
Organization: norskregnesentral
weak-supervision,[SIGIR 2022] ORCAS-I: Queries Annotated with Intent using Weak Supervision
Organization: projectdossier
weak-supervision,The codes for our ACL'22 paper: PRBOOST: Prompt-Based Rule Discovery and Boosting for Interactive Weakly-Supervised Learning.
User: rz-zhang
weak-supervision,Implementation of 2D-3D Cyclic Generative Renderer (3DV-2020).
Organization: samsunglabs
weak-supervision,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
User: saran9991
weak-supervision,Includes additional materials for the following keras.io blog post.
User: sayakpaul
Home Page: https://keras.io/examples/vision/adamatch/
weak-supervision,A collection of algorithms for detecting and handling label noise
User: shihab-shahriar
Home Page: https://scikit-clean.readthedocs.io/en/latest/
weak-supervision,A system for quickly generating training data with weak supervision
Organization: snorkel-team
Home Page: https://snorkel.org
weak-supervision,Weakly supervised medical named entity classification
Organization: som-shahlab
weak-supervision,Pretrained segmenter models for Portuguese legislative text.
Organization: ulysses-camara
Home Page: https://ulysses-segmenter.readthedocs.io/en/latest/
weak-supervision,A hyper label model to aggregate multiple weak labels in a single forward pass
User: wurenzhi
weak-supervision,Dataset for paper "Weak Supervision for Fake News Detection via Reinforcement Learning" published in AAAI'2020.
User: yaqingwang
weak-supervision,Code for "BERTifying the Hidden Markov Model for Multi-Source Weakly Supervised Named Entity Recognition"
User: yinghao-li
Home Page: https://arxiv.org/abs/2105.12848
weak-supervision,Sparse conditional hidden Markov model for weakly supervised NER
User: yinghao-li
Home Page: https://arxiv.org/abs/2205.14228
weak-supervision,[NAACL 2022] This is the code repo for our paper `ACTUNE: Uncertainty-based Active Self-Training for Active Fine-Tuning of Pretrained Language Models'.
User: yueyu1030
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'.
User: yueyu1030
Home Page: https://arxiv.org/pdf/2010.07835.pdf
weak-supervision,The source code used for paper "PIEClass: Weakly-Supervised Text Classification with Prompting and Noise-Robust Iterative Ensemble Training", published in EMNLP 2023.
User: yzhan238
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