ysh329/deep-learning-model-convertor
A curated registry of open-source converters enabling model interoperability between major deep learning frameworks.
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This repository aggregates links and references to model conversion tools that translate neural network representations across different frameworks such as Caffe, TensorFlow, PyTorch, Keras, MXNet, and ONNX. It does not implement its own converter but instead organizes existing conversion solutions in a comparison matrix. Users consult it to identify which converter handles their specific source-to-target framework pair.
Frequently asked
- What is ysh329/deep-learning-model-convertor?
- A curated registry of open-source converters enabling model interoperability between major deep learning frameworks.
- Is deep-learning-model-convertor open source?
- Yes — ysh329/deep-learning-model-convertor is an open-source project tracked on heatdrop.
- How popular is deep-learning-model-convertor?
- ysh329/deep-learning-model-convertor has 3.2k stars on GitHub.
- Where can I find deep-learning-model-convertor?
- ysh329/deep-learning-model-convertor is on GitHub at https://github.com/ysh329/deep-learning-model-convertor.