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onnx.ai Artificial Intelligence Machine Learning Open Source Deep Learning AI Model Interoperability

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ONNX.ai is the official website for the Open Neural Network Exchange (ONNX), an open-source format for AI models. It facilitates the sharing and interoperability of AI models across different frameworks, tools, runtimes, and compilers. ONNX.ai serves as a central hub for developers, researchers, and companies to access resources, documentation, and tools related to ONNX.

Unique Visits

360K

12000 / day

Total Views

450K

15000 / day

Visit Duration, avg.

3.8 min

3.2 pages per visit

Bounce Rate

35%

  • Domain Rating

  • Domain Authority

  • Citation Level

Founded in

2017

Supported Languages

English, etc

Website Key Features

Model Zoo

A collection of pre-trained, state-of-the-art models in the ONNX format, ready for deployment and experimentation.

ONNX Runtime

A high-performance inference engine for ONNX models, enabling efficient execution across a wide range of hardware platforms.

Converters

Tools and libraries to convert models from popular machine learning frameworks like TensorFlow, PyTorch, and Keras into the ONNX format.

Community and Support

Access to a vibrant community of developers and experts, along with comprehensive documentation and support resources.

ONNX-ML

An extension of ONNX that supports traditional machine learning models, enabling a broader range of AI applications.

Additional information

Contributors

ONNX is supported by a consortium of leading companies in AI and technology, including Microsoft, Facebook, and IBM.

License

ONNX is released under the MIT license, promoting wide adoption and modification.

Interoperability

ONNX enables seamless model sharing across different AI frameworks, reducing development time and fostering innovation.

Performance Optimization

ONNX Runtime includes optimizations for various hardware backends, ensuring models run efficiently on CPUs, GPUs, and specialized AI accelerators.

Educational Resources

ONNX.ai offers tutorials, guides, and best practices to help users get started with ONNX and leverage its full potential.

HTTP headers

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