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* Test re-using page layout from current ONNX Runtime website for docs * Add content for documentation on website * Fixed most broken links * Copy just-the-docs theme sources into repo * Remove local theme files as this did not work with GitHub * Remove nojekyll file * Move image assets into single location * Add Contents to markdown files and ensure only one h1 * Update after review * Fix img links * Add trailing slash to main nav links * Fix broken links on main docs page * Re-fix broken links on main docs page * Fix broken links #3 * Fix broken links #4 * Fix broken links #5 * Fix broken links #6 * Fix paths to global assets * Add updates since fork * Update custom op docs * Fix link
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Get Started
ONNX Runtime is a cross-platform accelerator for training and inference, compatible with PyTorch, TensorFlow/Keras, scikit-learn, and more.
You can benefit from ONNX Runtime if you want to:
- Improve inference performance of machine learning models
- Reduce time and cost of training large models
- Train in Python but deploy into a C#/C++/Java app
- Run on different hardware and operating systems
- Support models created in several different frameworks