Zhuoning Yuan

Hi, we have included more explanations in the tutorials. For example, these tutorials are updated: [AUROC](https://github.com/Optimization-AI/LibAUC/blob/main/examples/02_Optimizing_AUROC_with_ResNet20_on_Imbalanced_CIFAR10.ipynb), [AUPRC](https://github.com/Optimization-AI/LibAUC/blob/main/examples/03_Optimizing_AUPRC_Loss_on_Imbalanced_dataset.ipynb), [pAUC](https://github.com/Optimization-AI/LibAUC/blob/main/examples/11_Optimizing_pAUC_Loss_on_Imbalanced_data_wrapper.ipynb), [NDCG](https://github.com/Optimization-AI/LibAUC/blob/main/examples/10_Optimizing_NDCG_Loss_on_MovieLens20M.ipynb)., etc. Please let us know if they are helpful. Thanks!

@jacobdang The source file is actually available [here](https://github.com/Optimization-AI/LibAUC/releases/tag/v1.1.8). You can simply download it and use `pip` to install. After the installation, the source code is located on your local python...

We may release a pretrained model on a large chest x-ray dataset after this summer. Any other suggestions or any particular datasets you are interested in ?

Hi, We currently focus on binary classification. For multi-label classification, you can consider each task as an individual binary classification task. For CheXpert, multi-label classification is only needed for pretraining...

Sorry for the late response! I just finished my summer internship and go back to school. Adding up 5 binary classification tasks is indeed a possible solution to simplify the...

Please refer to #8.

Thanks! I will need to do some cleaning works and include the reference before I update the code here. Right now, you can use the library by `pip install libauc`.

Thanks for your interest in our library! I am currently working on the TensorFlow implementation and I plan to push the updates at end of Sep. or early Oct. Please...