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onnx/onnx

onnx

Open standard for machine learning interoperability

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onnx

onnx

onnx • individual

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20,579

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Forks

3,909

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Activity Score

0/100

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Created

Sep 7, 2017

Project creation date

README Summary

ONNX (Open Neural Network Exchange) is an open standard that defines a common set of operators and a common file format to represent deep learning models. It enables developers to use models across different frameworks, tools, runtimes, and compilers, providing interoperability in the AI/ML ecosystem. The project includes Python APIs for loading, saving, manipulating, and validating ONNX models.

AI Dev Skills

Unmapped

Model Serialization and Format StandardsCross-Framework ML InteroperabilityNeural Network Graph RepresentationModel Optimization and QuantizationProduction ML DeploymentFramework-Agnostic Model DevelopmentML Model PortabilityComputational Graph Design

Tags

Model Serialization and Format StandardsCross-Framework ML InteroperabilityNeural Network Graph RepresentationModel Optimization and QuantizationProduction ML DeploymentFramework-Agnostic Model DevelopmentML Model PortabilityComputational Graph DesignML model standardization across organizationsTextCloud APIProduction model serving with framework flexibilityOn-device AICross-framework model deploymentProduction ML OperationsModel sharing between teams using different ML frameworksAudioModel OptimizationModel optimization for edge deploymentImageTabularEdge/MobileFramework migration without model retrainingMultimodalVideoEdge ComputingOn-premiseSelf-hostedPython

Taxonomy

Recent Activity

Updated 22 days ago

7 Days

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30 Days

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90 Days

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Quality

production
Quality
high
Maturity
production

Categories

Other AI / MLPrimaryInference & ServingCoding & Dev ToolsMultimodal AIEdge & Mobile AIModel TrainingGenerative MediaFoundation ModelsRobotics

PM Skills

Scale & Reliability

Languages

Python100.0%

Timeline

Project created
Sep 7, 2017
Forked
Mar 23, 2026
Your last push
22 days ago
Upstream last push
7 days ago
Tracked since
Mar 22, 2026

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