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SciMLTutorials.jl holds PDFs, webpages, and interactive Jupyter notebooks showing how to utilize the software in the SciML Scientific Machine Learning ecosystem. This set of tutorials was made to complement the documentation and the devdocs by providing practical examples of the concepts. For more details, please consult the docs. To view the SciML Tutorials, go to tutorials.sciml.ai. By default, this will lead to the latest tagged version of the tutorials
Features
- Static outputs in pdf, markdown, and html reside in SciMLTutorialsOutput
- See tutorial results before merging
- Manually Generate Files
- Each of the tuturials displays the computer characteristics at the bottom of the benchmark
- To generate the interactive notebooks, first install the SciMLTutorials
- This set of tutorials was made to complement the documentation
Project Samples
Categories
Data VisualizationLicense
MIT LicenseFollow SciMLTutorials.jl
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