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Contributions to the DeepSensor Gallery are a great way to share your research with the community and can serve as inspiration for other users.
Particularly strong examples may be added to the main DeepSensor documentation.
Requirements
We want to make it as easy as possible to contribute a research demonstrator
As such, we do not enforce that contributed notebooks are fully reproducible.
For example, it is not compulsory to provide access to your data or deposit your trained model on Zenodo.
However, reproducibility is always appreciated!
For inspiration, we recommend checking out the Environmental Data Science Book
for examples of well-documented research notebook demonstrators.
Contribution guide
To publish a notebook in the DeepSensor Gallery:
Fork the repository
Add your notebook to the demonstrators/ folder in your fork
Add your name and demonstrator's title to the list in the README.md (with links)
Open a pull request
Depending on maintainer capacity there may be a review process.