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onnx/onnx

An open standard and format for machine learning models, enabling interoperability across AI frameworks and streamlining the path from research to production.

Core Features

Provides an open source format for deep learning and traditional ML models.

Defines an extensible computation graph model with built-in operators and standard data types.

Enables seamless interoperability between various AI frameworks and tools.

Accelerates the transition of AI models from research environments to production deployments.

Quick Start

pip install onnx

Detailed Introduction

ONNX (Open Neural Network Exchange) is a crucial open ecosystem designed to foster interoperability within the AI community. It offers a standardized, open-source format for both deep learning and traditional machine learning models, defining a flexible computation graph model, operators, and data types. By providing a common interchange format, ONNX empowers developers to utilize diverse tools and frameworks, bridging the gap between different AI ecosystems. This standardization significantly streamlines the development workflow, accelerating innovation from initial research to robust production deployment, primarily focusing on inferencing capabilities.