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Datasets/README.md

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This folder contains scripts that help you turn time-series datasets into the format required by the Algorithm2Domain Evaluation Framework.
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## Preprocessing Scripts for the following Datasets
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- [OHIOT1DM](https://webpages.charlotte.edu/rbunescu/data/ohiot1dm/OhioT1DM-dataset.html)
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- [WEATHER - Kaggle: Hourly energy demand generation and weather](https://www.kaggle.com/datasets/nicholasjhana/energy-consumption-generation-prices-and-weather?select=weather_features.csv)
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## Work in progress
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[Algorithm2Domain](https://github.com/BI-K/Algorithm2Domain) is a meta-repository for benchmarking of domain adaptation performance managed by the [Institute for Biomedical Informatics](https://bik.uni-koeln.de/) (University Hospital of Cologne).
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Our goal is to aggregate existing algorithms and benchmarking suits, and develop integrative pipelines for mix-and-match cross-domain benchmarking. The data sources suitable for the benchmarking will be aggregated as pointers.
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The Apache 2.0 license concerns the original code developed in this meta-repository. For sub-repositories and other resources please check the corresponding license agreements.
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## Citation
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TODO
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TODO

README.md

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<img src="https://github.com/user-attachments/assets/40befe73-d7d2-483b-9f19-b4a696d70915" width="200">
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# [Algorithm2Domain](https://github.com/BI-K/Algorithm2Domain) - Integrative Benchmarking
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## Work in progress
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[Algorithm2Domain](https://github.com/BI-K/Algorithm2Domain) is a meta-repository for benchmarking of domain adaptation performance managed by [NFDI4DataScience](https://www.nfdi4datascience.de/) consortium and the [Institute for Biomedical Informatics](https://bik.uni-koeln.de/) (University Hospital of Cologne).
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[Algorithm2Domain](https://github.com/BI-K/Algorithm2Domain) is a meta-repository for benchmarking of domain adaptation performance managed by the [Institute for Biomedical Informatics](https://bik.uni-koeln.de/) (University Hospital of Cologne).
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Our goal is to aggregate existing algorithms and benchmarking suits, and develop integrative pipelines for mix-and-match cross-domain benchmarking. The data sources suitable for the benchmarking will be aggregated as pointers.
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This repository will contain a integrative benchmarking suite, that connects the datasets, models, domain adaptation algorithms, few-shot approaches and datasets from various domain adaptation benchmarking suites.
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```git subtree pull --prefix=Evaluation_Framework/Algorithm2Domain_AdaTime Algorithm2Domain_AdaTime adatime_v2 --suqash```
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Push changes:
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```git subtree push --prefix=Evaluation_Framework/Algorithm2Domain_AdaTime Algorithm2Domain_AdaTime adatime_v2```
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```git subtree push --prefix=Evaluation_Framework/Algorithm2Domain_AdaTime Algorithm2Domain_AdaTime adatime_v2```

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