Shypd.aiThe largest open index of AI toolsawesome-uncertainty-deeplearning is an Open Source research tool that collects surveys, datasets, papers, and code for predictive uncertainty estimation in deep learning models. It serves as a comprehensive resource for researchers.
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awesome-uncertainty-deeplearning is an extensive open-source repository dedicated to predictive uncertainty estimation in deep learning models. It compiles a wide range of resources including surveys, academic papers, datasets, and code implementations. The collection covers various methodologies such as Bayesian methods, ensemble techniques, sampling/dropout-based approaches, post-hoc methods, data augmentation, and evidential deep learning. It also addresses applications in classification, regression, object detection, natural language processing, and more. This repository is an invaluable resource for researchers and practitioners looking to explore, understand, and implement uncertainty quantification in their deep learning projects.
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