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update TF row based on new converter collaborations (#123)
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README.md

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| [PyTorch](http://pytorch.org/) | [part of pytorch package](http://pytorch.org/docs/master/onnx.html) | [Exporting](tutorials/PytorchOnnxExport.ipynb), [Exporting - Different ONNX Opsets](tutorials/ExportModelFromPyTorchToDifferentONNXOpsetVersions.md), [Extending support](tutorials/PytorchAddExportSupport.md) | coming soon |
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| [SciKit-Learn](http://scikit-learn.org/) | [onnx/sklearn-onnx](https://github.com/onnx/sklearn-onnx) | [Exporting](http://onnx.ai/sklearn-onnx/index.html) | n/a |
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| [Apache SINGA](http://singa.apache.org/) | [built-in](https://github.com/apache/incubator-singa/blob/master/python/singa/sonnx.py) | [Exporting](https://github.com/apache/incubator-singa/tree/master/examples/onnx) [experimental]| [Importing](https://github.com/apache/incubator-singa/tree/master/examples/onnx) [experimental] |
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| [TensorFlow](https://www.tensorflow.org/) | [onnx/onnx-tensorflow](https://github.com/onnx/onnx-tensorflow) and [onnx/tensorflow-onnx](https://github.com/onnx/tensorflow-onnx) | [Exporting - ONNX-Tensorflow](tutorials/OnnxTensorflowExport.ipynb)<br>[Exporting - Tensorflow-ONNX](https://github.com/onnx/tensorflow-onnx/blob/master/examples/call_coverter_via_python.py) | [Importing](tutorials/OnnxTensorflowImport.ipynb) [experimental] |
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| [TensorFlow](https://www.tensorflow.org/) | [onnx/onnx-tensorflow](https://github.com/onnx/onnx-tensorflow) and [onnx/tensorflow-onnx](https://github.com/onnx/tensorflow-onnx) | [Exporting](https://github.com/onnx/tensorflow-onnx/blob/master/examples/call_coverter_via_python.py) | [Importing](tutorials/OnnxTensorflowImport.ipynb) |
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| [TensorRT](https://developer.nvidia.com/tensorrt) | [onnx/onnx-tensorrt](https://github.com/onnx/onnx-tensorrt) | n/a | [Importing](https://github.com/onnx/onnx-tensorrt/blob/master/README.md) |
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* Use services like [Azure Custom Vision service](https://docs.microsoft.com/en-us/azure/cognitive-services/Custom-Vision-Service/custom-vision-onnx-windows-ml) that generate customized ONNX models for your data

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