First of all, thank you for open-sourcing your work on the TTP classification algorithm. Your project has been a great source of inspiration and learning for us.
We noticed that while the model algorithm is publicly available, the specific data augmentation techniques used to enhance the model's performance are not included. Given the significant impact data augmentation can have on improving model accuracy and its wide applicability, we are very interested in understanding and potentially applying these techniques in our own research.
Would it be possible to share the details of the data augmentation algorithms implemented in this project? Looking forward to your response and hoping for a positive consideration.