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6 changes: 1 addition & 5 deletions tmva/sofie/README.md
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Expand Up @@ -20,7 +20,7 @@ make -j8
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## Usage
SOFIE works in a parser-generator working architecture. With SOFIE, the user gets an [ONNX](https://github.com/root-project/root/tree/master/tmva/sofie_parsers), [Keras](https://github.com/root-project/root/blob/master/tmva/pymva/src/RModelParser_Keras.cxx) and a [PyTorch](https://github.com/root-project/root/blob/master/tmva/pymva/src/RModelParser_PyTorch.cxx) parser for translating models in respective formats into SOFIE's internal representation.
SOFIE works in a parser-generator working architecture. With SOFIE, the user gets an [ONNX](https://github.com/root-project/root/tree/master/tmva/sofie_parsers) parser for translating models into SOFIE's internal representation.

From ROOT command line, or in a ROOT macro, we can proceed with an ONNX model:

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- **Tutorials**
- [TMVA_SOFIE_Inference](https://github.com/root-project/root/blob/master/tutorials/machine_learning/TMVA_SOFIE_Inference.py)
- [TMVA_SOFIE_Keras](https://github.com/root-project/root/blob/master/tutorials/machine_learning/TMVA_SOFIE_Keras.C)
- [TMVA_SOFIE_ONNX](https://github.com/root-project/root/blob/master/tutorials/machine_learning/TMVA_SOFIE_ONNX.C)
- [TMVA_SOFIE_PyTorch](https://github.com/root-project/root/blob/master/tutorials/machine_learning/TMVA_SOFIE_PyTorch.py)
- [TMVA_SOFIE_PyTorch_HiggsModel](https://github.com/root-project/root/blob/master/tutorials/machine_learning/TMVA_SOFIE_PyTorch_HiggsModel.py)
- [TMVA_SOFIE_RDataFrame](https://github.com/root-project/root/blob/master/tutorials/machine_learning/TMVA_SOFIE_RDataFrame.C)
- [TMVA_SOFIE_RDataFrame](https://github.com/root-project/root/blob/master/tutorials/machine_learning/TMVA_SOFIE_RDataFrame.py)
- [TMVA_SOFIE_RDataFrame_JIT](https://github.com/root-project/root/blob/master/tutorials/machine_learning/TMVA_SOFIE_RDataFrame_JIT.C)
- [TMVA_SOFIE_RSofieReader](https://github.com/root-project/root/blob/master/tutorials/machine_learning/TMVA_SOFIE_RSofieReader.C)

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