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ONNX, Open Neural Network Exchange - The open standard for machine learning.
ONNX (Open Neural Network Exchange) is an open-source framework designed to enable interoperability of machine learning models across various AI tools and platforms supported by many key players in the field. It provides a standard format for representing machine learning and deep learning models. This simplifies deployment and enhances reproducibility of experiments. ONNX supports a wide range of operations and architectures, making it versatile for both industry and academia.
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One important aspect in scientific visualisation is the visualisation of 3D phenomena, such as volumes, surfaces, or particles in a 3-dimensional space, with an emphasis on photorealistic renderings, since they can help viewers explore and understand various aspects of the phenomena simultaneously. Besides interesting and understandable, 3D photorealistic renderings can provide impactful and memorable images that are a great resource for science communication and dissemination, as they can improve the reach and engagement of complex topics.
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