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.
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A collection of pre-trained, state-of-the-art models in the ONNX format, ready for deployment and experimentation.
A high-performance inference engine for ONNX models, enabling efficient execution across a wide range of hardware platforms.
Tools and libraries to convert models from popular machine learning frameworks like TensorFlow, PyTorch, and Keras into the ONNX format.
Access to a vibrant community of developers and experts, along with comprehensive documentation and support resources.
An extension of ONNX that supports traditional machine learning models, enabling a broader range of AI applications.
ONNX is supported by a consortium of leading companies in AI and technology, including Microsoft, Facebook, and IBM.
ONNX is released under the MIT license, promoting wide adoption and modification.
ONNX enables seamless model sharing across different AI frameworks, reducing development time and fostering innovation.
ONNX Runtime includes optimizations for various hardware backends, ensuring models run efficiently on CPUs, GPUs, and specialized AI accelerators.
ONNX.ai offers tutorials, guides, and best practices to help users get started with ONNX and leverage its full potential.
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