• The Open Neural Network Exchange (ONNX) [ˈɒnɪks] is an open-source artificial intelligence ecosystem of technology companies and research organizations...
    6 KB (471 words) - 18:24, 27 April 2024
  • formats are: PyTorch TensorFlow TensorFlow Lite ONNX (including formats that may be serialized to ONNX) PaddlePaddle OpenVINO runs on Windows, Linux and...
    5 KB (475 words) - 17:49, 5 August 2024
  • Thumbnail for ML.NET
    client side of a browser using ONNX.js, a javascript client-side framework for deep learning models created in the Onnx format.[citation needed] Along...
    17 KB (1,606 words) - 16:49, 10 June 2024
  • Thumbnail for CatBoost
    using catboost can be used for predictions in C++, Java, C#, Rust, Core ML, ONNX, and PMML. The source code is licensed under Apache License and available...
    9 KB (652 words) - 19:06, 23 June 2024
  • frameworks were mutually incompatible. The Open Neural Network Exchange (ONNX) project was created by Meta and Microsoft in September 2017 for converting...
    12 KB (1,161 words) - 10:13, 10 May 2024
  • Thumbnail for Shader
    by Apple via Core ML, by Google via TensorFlow, by Linux Foundation via ONNX. Compute shaders are not limited to graphics applications, but use the same...
    22 KB (2,435 words) - 09:24, 1 August 2024
  • Thumbnail for ROCm
    Various deep learning frameworks have a ROCm backend: PyTorch TensorFlow ONNX MXNet CuPy MIOpen Caffe Iree (which uses LLVM Multi-Level Intermediate Representation...
    28 KB (2,092 words) - 16:50, 10 August 2024
  • Learning Toolbox". Mathworks. Retrieved 2018-10-03. Fang, Lu. "SqueezeNet for ONNX". Open Neural Network eXchange. "SqueezeNet V1.1 Trained on ImageNet Competition...
    14 KB (1,170 words) - 22:48, 16 June 2024
  • Thumbnail for MLIR (software)
    Kevin; Kawachiya, Kiyokuni; Eichenberger, Alexandre E. (2020). "Compiling ONNX Neural Network Models Using MLIR". arXiv:2008.08272 [cs.PL]. Pienaar, Jacques...
    22 KB (2,431 words) - 14:23, 22 June 2024
  • arbitrary frameworks including TensorFlow, XGBoost, scikit-learn, PyTorch, and ONNX. KServe was developed collaboratively by Google, IBM, Bloomberg, NVIDIA,...
    16 KB (722 words) - 21:56, 11 July 2024