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History

Wenbing Li ed102e9d88 Add iOS test pipeline and a sample app. (#5298 ) * Add iOS test pipeline and a sample app. * clean up the unused code. * clean up. * revert the unknown change * disable the shared library for iOS. * add open source notice text. * ignore the skipped test. * extract the common ortenv setup		2020-09-29 13:53:11 -07:00
..
c_cxx	Add missing header file to MNIST.cpp (#4773 )	2020-08-12 21:46:11 -07:00
iOS	Add iOS test pipeline and a sample app. (#5298 )	2020-09-29 13:53:11 -07:00
nodejs	Add nodejs samples README (#5005 )	2020-09-03 15:58:44 -07:00
python	Update PyTorch TransformerModel sample (#5275 )	2020-09-24 16:28:07 -07:00
swift	Add Swift/macOS sample, a port of the Windows MNist sample	2020-06-05 21:16:41 -07:00
.gitignore	Add iOS test pipeline and a sample app. (#5298 )	2020-09-29 13:53:11 -07:00
README.md	Add additional tutorial links (#5272 )	2020-09-24 17:27:58 -07:00

README.md

ONNX Runtime Samples and Tutorials

Here you will find various samples, tutorials, and reference implementations for using ONNX Runtime. For a list of available dockerfiles and published images to help with getting started, see this page.

General

Python
C#
C/C++
Java
Node.js

Integrations

Azure Machine Learning
Azure IoT Edge
Azure Media Services
Azure SQL Edge and Managed Instance
Windows Machine Learning
ML.NET
Huggingface

General

Python

Inference only

Inference with model conversion

Quantization

BERT Quantization on CPU

Other

C#

C/C++

C: SqueezeNet
C++: model-explorer - single and batch processing
C++: SqueezeNet
C++: MNIST

Java

Node.js

Inference with Nodejs

Integrations

Azure Machine Learning

Inference and deploy through AzureML

For aditional information on training in AzureML, please see AzureML Training Notebooks

Inferencing on CPU using ONNX Model Zoo models:
Inferencing on CPU with PyTorch model training:
- MNIST
- BERT
Inferencing on CPU with model conversion for existing (CoreML) model:
- TinyYolo
Inferencing on GPU with TensorRT Execution Provider (AKS):
- FER+

Azure IoT Edge

Inference and Deploy with Azure IoT Edge

Azure Media Services

Video Analysis through Azure Media Services using using Yolov3 to build an IoT Edge module for object detection

Azure SQL

Deploy ONNX model in Azure SQL Edge

Windows Machine Learning

Examples of inferencing with ONNX Runtime through Windows Machine Learning

ML.NET

Object Detection with ONNX Runtime in ML.NET

Huggingface

Export Tranformer models