Repository for "ID as a Model-Free Measure of Class Imbalance" (arXiv preprint)

This repository includes the code/data for manuscript, "Federated Artificial Resampling for Imbalanced Facial Emotion Recognition", published in IEEE Transactions on Affective Computing

DBANet: Dual Boundary Awareness With Confidence-Guided Pseudo Labeling for Medical Image Segmentation(IEEE JBHI), 2025

Generate and download free synthetic datasets instantly! A Streamlit app with built-in statistical validation tools like Chi-Square and Mutual Information.

Advanced NER Applications: Implementing KNN, Feed-Forward, and LSTM Models with Class Imbalance Reduction Techniques.

Evaluating ensemble performance in long-tailed datasets (Neurips 2023 Heavy Tails Workshop)

Code for "MixMatch - A Holistic Approach to Semi-Supervised Learning"

面向医学图像分类中数据异质性和类不平衡问题的加强联邦学习的设计与分析

This repository includes the code for manuscript, "The Class Imbalance Problem in Deep Learning", published in Machine Learning journal, Springer

Addressing Concept Complexity and Imbalance in Deep Learning for 2021 IEEE-BigData paper

Train, test, evaluate and deploy classification models the *hard* way.

Seesaw Loss implementation using PyTorch

[ICLR 2023] Official Tensorflow implementation of "Distributionally Robust Post-hoc Classifiers under Prior Shifts"

[MICCAI'22] Test-time Adaptation with Calibration of Medical Image Classification Nets for Label Distribution Shift

This code is a PyTorch implementation of ClassAwareLoss proposed in the "Class-aware fish species recognition using deep learning for an imbalanced dataset" paper. https://www.mdpi.com/1424-8220/22/21/8268

Enhacing classification accuracy for minority crop's classes via generating fake satellite image datasets with use of GANs

Multi-label text classification of movie genres based on their synopsis