These tutorials are designed to help you learn how to use LibAUC for your own projects. The basic examples cover simple use cases for LibAUC algorithms, such as optimizing AUROC loss on imbalanced datasets. Advanced examples cover more complex applications of LibAUC, such as multi-label classification on medical imaging datasets. More examples cover a wide range of applications by researchers around the world who have used LibAUC for their own projects.