s1ddok/Sardonyx
Convert your ONNX models into Swift for TensorFlow or Metal Performance Shaders (WIP)
This tool helps machine learning engineers and researchers deploy deep learning models trained in frameworks like PyTorch or TensorFlow into Swift applications. It takes an ONNX model file as input and generates Swift code along with a data blob. The output can then be integrated into Swift for TensorFlow or Metal Performance Shaders projects, simplifying the deployment of trained models.
No commits in the last 6 months.
Use this if you need to integrate existing ONNX-compatible deep learning models into Swift applications for iOS, macOS, or other Apple platforms, particularly for tasks like image classification.
Not ideal if your ONNX model uses layers not yet supported for Swift for TensorFlow or Metal Performance Shaders, or if you require deployment to non-Apple platforms.
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Language
Swift
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Last pushed
Apr 21, 2022
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