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ONNX, Open Neural Network Exchange - The open standard for machine learning.
ONNX, Open Neural Network Exchange - The open standard for machine learning, is an open format built to represent machine learning models. ONNX defines a common set of operators - the building blocks of machine learning and deep learning models - and a common file format to enable AI developers to use models with a variety of frameworks, tools, runtimes, and compilers. The idea is to provide useful tools, independent to science domain of the codes or applications, that could be of interest, not only to SPACE but also to other CoEs.
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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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