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README.md

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@@ -49,7 +49,7 @@ You can also download source code from [here](https://github.com/Optimization-AI
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:notebook_with_decorative_cover: Usage
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### Official Tutorials:
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- Creating Imbalanced Benchmark Datasets on **CIFAR10, CIFAR100, CATvsDOG, STL10** [[Notebook](https://github.com/Optimization-AI/LibAUC/blob/main/examples/01_Creating_Imbalanced_Benchmark_Datasets.ipynb)][[Script](https://github.com/Optimization-AI/LibAUC/tree/main/examples/scripts)]
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- Constructing Imbalanced Datasets for **CIFAR10, CIFAR100, CATvsDOG, STL10** [[Notebook](https://github.com/Optimization-AI/LibAUC/blob/main/examples/01_Creating_Imbalanced_Benchmark_Datasets.ipynb)][[Script](https://github.com/Optimization-AI/LibAUC/tree/main/examples/scripts)]
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- Training with Pytorch Learning Rate Scheduling [[Notebook](https://github.com/Optimization-AI/LibAUC/blob/main/examples/04_Training_with_Pytorch_Learning_Rate_Scheduling.ipynb)][[Script](https://github.com/Optimization-AI/LibAUC/tree/main/examples/scripts)]
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- Optimizing <strong>AUROC</strong> loss with ResNet20 on Imbalanced CIFAR10 [[Notebook](https://github.com/Optimization-AI/LibAUC/blob/main/examples/02_Optimizing_AUROC_with_ResNet20_on_Imbalanced_CIFAR10.ipynb)][[Script](https://github.com/Optimization-AI/LibAUC/tree/main/examples/scripts)]
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- Optimizing <strong>AUPRC</strong> loss with ResNet18 on Imbalanced CIFAR10 [[Notebook](https://github.com/Optimization-AI/LibAUC/blob/main/examples/03_Optimizing_AUPRC_with_ResNet18_on_Imbalanced_CIFAR10.ipynb)][[Script](https://github.com/Optimization-AI/LibAUC/tree/main/examples/scripts)]

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