Shypd.aiThe largest open index of AI toolswilds is an Open Source machine learning benchmark that provides data loaders, evaluators, and default models for in-the-wild distribution shifts. It supports diverse data modalities and applications like tumor identification and wildlife monitoring.
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wilds is an open-source machine learning benchmark designed to evaluate models under real-world distribution shifts. It offers a comprehensive package including data loaders that automate downloading, processing, and splitting of datasets, along with standardized evaluators for consistent model assessment. The benchmark covers a wide range of data modalities and applications, from medical imaging (tumor identification) to environmental monitoring (wildlife monitoring) and socio-economic analysis (poverty mapping). It also provides example scripts with default models, optimizers, and training/evaluation code, making it easy for researchers to integrate new algorithms and run experiments across its 10 included datasets. The package is installable via pip and supports optional integration with Weights & Biases for experiment tracking.
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