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license: apache-2.0 |
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tags: |
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- vision |
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- classification |
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- uncertainty |
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datasets: |
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- cifar-10 |
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--- |
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# Packed-Ensembles ResNet trained on CIFAR-10 |
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## How to use |
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Download [TorchUncertainty](https://torch-uncertainty.github.io/) - [GitHub](https://github.com/ENSTA-U2IS/torch-uncertainty) to use this model. |
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## Reference |
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Consider citing: |
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**Packed-Ensembles for Efficient Uncertainty Estimation** |
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* Authors: *Olivier Laurent, Adrien Lafage, Enzo Tartaglione, Geoffrey Daniel, Jean-Marc Martinez, Andrei Bursuc, and Gianni Franchi* |
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* Paper: [ICLR 2023](https://arxiv.org/abs/2210.09184). |
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Implementation - [GitHub](https://github.com/ENSTA-U2IS/torch-uncertainty) |
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## License |
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These weights are provided under the Apache 2.0 license. |
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