Add-on package for ONNX format support in Chainer
-
Updated
Nov 6, 2019 - Python
Add-on package for ONNX format support in Chainer
This repository shows an example of how to use the ONNX standard to interoperate between different frameworks. In this example, we train a model with PyTorch and make predictions with Tensorflow, ONNX Runtime, and Caffe2.
Python scripts for performing Stereo Depth Estimation using the HITNET model split into two parts in ONNX.
Add a description, image, and links to the onnx-format topic page so that developers can more easily learn about it.
To associate your repository with the onnx-format topic, visit your repo's landing page and select "manage topics."