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Title: GitHub - p-lambda/wilds: A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models. · GitHub

Open Graph Title: GitHub - p-lambda/wilds: A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models.

X Title: GitHub - p-lambda/wilds: A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models.

Description: A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models. - p-lambda/wilds

Open Graph Description: A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models. - p-lambda/wilds

X Description: A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models. - p-lambda/wilds

Opengraph URL: https://github.com/p-lambda/wilds

X: @github

direct link

Domain: github.com

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exampleshttps://github.com/p-lambda/wilds/tree/main/examples
exampleshttps://github.com/p-lambda/wilds/tree/main/examples
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wildshttps://github.com/p-lambda/wilds/tree/main/wilds
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README.mdhttps://github.com/p-lambda/wilds/blob/main/README.md
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setup.pyhttps://github.com/p-lambda/wilds/blob/main/setup.py
setup.pyhttps://github.com/p-lambda/wilds/blob/main/setup.py
READMEhttps://github.com/p-lambda/wilds
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https://camo.githubusercontent.com/d45398b011aba7299b2719cf61de4b6c9fdfbe3fb9e843e42bcdb7a520b798ee/68747470733a2f2f77696c64732e7374616e666f72642e6564752f57494c44535f63726f707065642e706e67
https://pypi.org/project/wilds/
https://github.com/p-lambda/wilds/blob/master/LICENSE
https://github.com/p-lambda/wilds#overview
our websitehttps://wilds.stanford.edu
1https://arxiv.org/abs/2012.07421
2https://arxiv.org/abs/2112.05090
discussion boardhttps://github.com/p-lambda/wilds/discussions
https://github.com/p-lambda/wilds#installation
1https://arxiv.org/abs/2012.07421
2https://arxiv.org/abs/2112.05090
https://github.com/p-lambda/wilds#requirements
quick manual installhttps://pytorch-geometric.readthedocs.io/en/latest/notes/installation.html#installation-via-binaries
https://github.com/p-lambda/wilds#example-script-requirements
Apexhttps://github.com/NVIDIA/apex
README from the official SwAV repositoryhttps://github.com/facebookresearch/swav#requirements
Weights & Biaseshttps://wandb.ai/site
https://github.com/p-lambda/wilds#datasets
1https://arxiv.org/abs/2012.07421
2https://arxiv.org/abs/2112.05090
https://github.com/p-lambda/wilds#using-the-wilds-package
https://github.com/p-lambda/wilds#data
#Data loadinghttps://github.com/p-lambda/wilds#data-loading
https://github.com/p-lambda/wilds#domain-information
#Data loadinghttps://github.com/p-lambda/wilds#data-loading
https://github.com/p-lambda/wilds#data-loading
https://github.com/p-lambda/wilds#evaluators
https://github.com/p-lambda/wilds#using-the-example-scripts
our CodaLab executable paperhttps://wilds.stanford.edu/codalab
https://github.com/p-lambda/wilds#downloading-and-training-on-the-wilds-datasets
https://github.com/p-lambda/wilds#algorithms
1https://arxiv.org/abs/2012.07421
2https://arxiv.org/abs/2112.05090
1https://arxiv.org/abs/2012.07421
2https://arxiv.org/abs/2112.05090
groupDROhttps://arxiv.org/abs/1911.08731
1https://arxiv.org/abs/2012.07421
deepCORALhttps://arxiv.org/abs/1511.05547
1https://arxiv.org/abs/2012.07421
2https://arxiv.org/abs/2112.05090
IRMhttps://arxiv.org/abs/1907.02893
1https://arxiv.org/abs/2012.07421
DANNhttps://arxiv.org/abs/1505.07818
2https://arxiv.org/abs/2112.05090
AFNhttps://arxiv.org/abs/1811.07456
2https://arxiv.org/abs/2112.05090
FixMatchhttps://arxiv.org/abs/2001.07685
2https://arxiv.org/abs/2112.05090
2https://arxiv.org/abs/2112.05090
NoisyStudenthttps://arxiv.org/abs/1911.04252
2https://arxiv.org/abs/2112.05090
https://github.com/p-lambda/wilds#evaluating-trained-models
submission guidelineshttps://wilds.stanford.edu/submit/
https://github.com/p-lambda/wilds#reproducibility
executable versionhttps://wilds.stanford.edu/codalab
https://github.com/p-lambda/wilds#leaderboard
public leaderboardhttps://wilds.stanford.edu/leaderboard/
Bibtexhttps://wilds.stanford.edu/assets/files/wilds_bib.txt
https://github.com/p-lambda/wilds#citing-wilds-bibtex
WILDS: A Benchmark of in-the-Wild Distribution Shifts.https://arxiv.org/abs/2012.07421
Extending the WILDS Benchmark for Unsupervised Adaptation.https://arxiv.org/abs/2112.05090
datasets pagehttps://wilds.stanford.edu/datasets/
https://github.com/p-lambda/wilds#acknowledgements
Open Graph Benchmarkhttps://ogb.stanford.edu/
wilds.stanford.eduhttps://wilds.stanford.edu
Readme https://github.com/p-lambda/wilds#readme-ov-file
MIT license https://github.com/p-lambda/wilds#MIT-1-ov-file
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