Deep-Learning-Loss-Function-Collection-for-Imbalanced-Data

This repo is a collection of loss functions, that aim to solve the imbalanced classification problem.

• Class Balanced Loss
• Corss Entropy Loss
• CSCE
• Distribution Focal Loss
• Flocal Loss
• Gaussian Focal Loss
• GHM Loss
• LDAM Loss
• Quality Focal Loss
• Resample Loss

Some implementations refer to the open source code of the original paper, and we will give a reference link later.