snorkel-team/snorkel
snorkel
A system for quickly generating training data with weak supervision
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snorkel-team
snorkel-team • individual
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855
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Created
Feb 26, 2016
Project creation date
README Summary
Snorkel is a system for programmatically building and managing training datasets without manual labeling. It enables users to rapidly create large training sets by writing labeling functions that express weak supervision sources, which are then combined using data programming techniques to produce probabilistic training labels.
AI Dev Skills
Unmapped
Weak SupervisionTraining Data GenerationProgrammatic LabelingData-Centric AILabel Function DesignMulti-Source LearningProbabilistic ModelsActive LearningData AugmentationMachine Learning Pipeline Design
Tags
Weak SupervisionTraining Data GenerationProgrammatic LabelingData-Centric AILabel Function DesignMulti-Source LearningProbabilistic ModelsActive LearningData AugmentationMachine Learning Pipeline DesignE-commerceSelf-hostedMedia & EntertainmentTextGovernmentImageContent ModerationLegal TechCompound AI SystemsOn-premiseNamed Entity RecognitionMedical Record AnalysisCloudDocument LabelingText ClassificationAutomated MLFinancial Document ProcessingFinTechHuman-in-the-Loop MLManufacturingInformation ExtractionImage ClassificationTabularHealthcareSentiment AnalysisPython
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Recent Activity
Updated 1 years ago
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Quality
production- Quality
- high
- Maturity
- production
Categories
RAG & RetrievalPrimaryModel TrainingComputer VisionHealthcare & BiologyFinance & LegalOther AI / MLMLOps & InfrastructureDev Tools & AutomationIndustry: FinTechNLP & TextML Platform & Infrastructure
PM Skills
Scale & ReliabilityDeveloper Platform
Languages
Python100.0%
Timeline
- Project created
- Feb 26, 2016
- Forked
- Mar 22, 2026
- Your last push
- 1 years ago
- Upstream last push
- 1 years ago
- Tracked since
- May 2, 2024
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