Following tutorials introduce the ONNX ecosystem. It walk the user through the ONNX specficiations, how to execute an ONNX graph, how to create an ONNX graph, how to convert a model from scikit-learn, and how to train them with onnxruntime-training.
- Introduction to ONNX
- Introduction to onnxruntime
- scikit-learn to ONNX Tutorial
- Training Tutorial
- Benchmarking and profiling Tutorial
Announcing ONNX Runtime Availability in the NVIDIA Jetson Zoo for High Performance Inferencing (8/2021)
Speeding Up Deep Learning Inference Using TensorFlow, ONNX, and NVIDIA TensorRT (7/2021)
Journey to optimize large scale transformer model inference with ONNX Runtime (6/2021)
Accelerate and simplify Scikit-learn model inference with ONNX Runtime (12/2020)
Model Persistence scikit-learn and ONNX, short talk at scikit-learn foundation (2019)
Current documention of ONNX and onnxruntime#
Most of the documentation related on onnx and onnxruntime is written on markdown. The following section is an attempt to render it and make it searchable.
Some useful pages.