README.md

onnx-demo

An introduction to ONNX! Convert your ML models to an agnostic format and take advantage of speedier inference ⚡️.

Demo

See:

onnx-demo.ipynb

✨

Installation

pip install -r requirements.txt

Demo

Serve the Notebook as slides using:

jupyter nbconvert onnx-demo.ipynb \
    --to slides \
    --post serve \
    --SlidesExporter.reveal_scroll=True \
    --TagRemovePreprocessor.remove_input_tags={\"remove-input\"}

About

• The reference ONNX.js demo comes from: dunnkers/neural-network-backdoors
• Notebook partially from sklearn-onnx repo.

Slides built by Jeroen Overschie.