kawasaki2013 / tutorials

Tutorials for using ONNX

ONNX tutorials

Importing and Exporting from frameworks

Framework / tool	Installation	Exporting to ONNX (frontend)	Importing ONNX models (backend)
Caffe2	part of caffe2 package	Exporting	Importing
PyTorch	part of pytorch package	Exporting, Extending support	coming soon
Cognitive Toolkit (CNTK)	built-in	Exporting	Importing
Apache MXNet	part of mxnet package docs github	Exporting	Importing
Chainer	chainer/onnx-chainer	Exporting	coming soon
TensorFlow	onnx/onnx-tensorflow	Exporting	Importing [experimental]
Apple CoreML	onnx/onnx-coreml and onnx/onnxmltools	Exporting	Importing
SciKit-Learn	onnx/onnxmltools	Exporting	n/a
ML.NET	built-in	Exporting	Importing
Menoh	pfnet-research/menoh	n/a	Importing
MATLAB	onnx converter on matlab central file exchange	Exporting	Importing

End-to-end tutorials

• Docker image for Caffe2/PyTorch tutorials
• Caffe/Keras/CoreML Docker Converter Image
• Converting SuperResolution model from PyTorch to Caffe2 and deploying on mobile device
• Transferring SqueezeNet from PyTorch to Caffe2 and to Android app
• Serving PyTorch Models on AWS Lambda with Caffe2 & ONNX
• Serving ONNX models with MXNet Model Server
• Converting Style Transfer model from PyTorch to CoreML and deploying to an iPhone
• Convert a PyTorch model to Tensorflow using ONNX

ONNX tools

• Verifying correctness and comparing performance
• Visualizing an ONNX model (useful for debugging)
• Example of operating on ONNX protobuf

Contributing

We welcome improvements to the convertor tools and contributions of new ONNX bindings. Check out contributor guide to get started.

Use ONNX for something cool? Send the tutorial to this repo by submitting a PR.