Library/content-moderation-deep-learning
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fcakyon/content-moderation-deep-learning

content-moderation-deep-learning

Deep learning based content moderation from text, audio, video & image input modalities.

Builder

fcakyon

fcakyon

fcakyon • individual

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393

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Forks

25

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Created

Sep 22, 2022

Project creation date

README Summary

This repository provides a deep learning-based content moderation system that can analyze and moderate content across multiple input modalities including text, audio, video, and images. It offers a comprehensive solution for automated content filtering and safety detection using modern machine learning techniques. The system is designed to help platforms and applications automatically identify and handle inappropriate or harmful content.

AI Dev Skills

Unmapped

Multimodal Deep LearningComputer VisionNatural Language ProcessingAudio Signal ProcessingVideo AnalysisContent SafetyClassification ModelsFeature ExtractionNeural Network Architecture Design

Tags

Multimodal Deep LearningComputer VisionNatural Language ProcessingAudio Signal ProcessingVideo AnalysisContent SafetyClassification ModelsFeature ExtractionNeural Network Architecture DesignAI SafetyAutomated Content FilteringImageDigital MediaSocial MediaCloud APITextGamingHarmful Content DetectionMultimodalOn-premiseUser-generated Content ScreeningSelf-hostedAudioContent PlatformsResponsible AIPlatform Safety EnforcementCommunication ToolsCommunity Guidelines EnforcementEdTechReal-time ModerationVideoMultimodal Reasoning

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Recent Activity

Updated 1 months ago

7 Days

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30 Days

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90 Days

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Quality

prototype
Quality
medium
Maturity
prototype

Categories

Inference & ServingPrimaryGenerative MediaFoundation ModelsComputer VisionNLP & TextML Platform & InfrastructureSafety & AlignmentCoding & Dev ToolsMultimodal AIOther AI / ML

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Timeline

Project created
Sep 22, 2022
Forked
Mar 23, 2026
Your last push
1 months ago
Upstream last push
1 months ago
Tracked since
Feb 25, 2026

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