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README.md

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<a href="#quickstart">Quickstart</a> •
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<a href="#background">Background</a> •
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<a href="#features">Features</a> •
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<a href="#acknowledgements">Acknowledgements</a>
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<a href="#citation">Citation</a>
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</p>
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<p align="center">
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You can find an overview of predictor learning setups
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[here](https://fkoehler.site/predictor-learning-setups/). -->
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## Acknowledgements
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### Citation
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## Citation
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This package was developed as part of the [APEBench paper
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(arxiv.org/abs/2411.00180)](https://arxiv.org/abs/2411.00180) (accepted at
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[Here](https://github.com/tum-pbs/apebench) you can find the APEBench benchmark
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suite.
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### Funding
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## Funding
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The main author (Felix Koehler) is a PhD student in the group of [Prof. Thuerey at TUM](https://ge.in.tum.de/) and his research is funded by the [Munich Center for Machine Learning](https://mcml.ai/).
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### License
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## License
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MIT, see [here](https://github.com/Ceyron/trainax/blob/main/LICENSE.txt)
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docs/index.md

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* Collection of Callbacks
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* Composability
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## Acknowledgements
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### Citation
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## Citation
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This package was developed as part of the [APEBench paper
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(arxiv.org/abs/2411.00180)](https://arxiv.org/abs/2411.00180) (accepted at
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[Here](https://github.com/tum-pbs/apebench) you can find the APEBench benchmark
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suite.
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### Funding
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## Funding
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The main author (Felix Koehler) is a PhD student in the group of [Prof. Thuerey at TUM](https://ge.in.tum.de/) and his research is funded by the [Munich Center for Machine Learning](https://mcml.ai/).
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### License
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## License
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MIT, see [here](https://github.com/Ceyron/trainax/blob/main/LICENSE.txt)
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