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Lorenzo Cavazzi / s2s-ai-challenge-template-test
MIT LicenseTemplate project to join s2s-ai-competition
Website: https://s2s-ai-challenge.github.io/
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Here you can find the materials for hands-on sessions
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In this repo we collect all the functions for the preprocessing of the raw Democrasci data, i.e., the data from the Swiss parliament archives. The functions implemented here go from the opening and manipulation of these files, to the cleaning, curation, aggregation, and visualization, for all the different preprocessing steps. The final output files, one for each year, are the inputs for the functions in the repository corresponding to WP2.
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Combine public data sources together into one project.
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Code used in the causality course (401-4632-15) at ETH Zurich.
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Tasko Olevski / s2s-ai-challenge-template-test3
MIT LicenseTemplate project to join s2s-ai-challenge
Website: https://s2s-ai-challenge.github.io/
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Tasko Olevski / s2s-ai-challenge-template-test2
MIT LicenseTemplate project to join s2s-ai-challenge
Website: https://s2s-ai-challenge.github.io/
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Tasko Olevski / s2s-ai-challenge-template-test1
MIT LicenseTemplate project to join s2s-ai-challenge
Website: https://s2s-ai-challenge.github.io/
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