😎 Everything about class-imbalanced/long-tail learning: papers, codes, frameworks, and libraries | 有关类别不平衡/长尾学习的一切：论文、代码、框架与库

[NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning

[NeurIPS'25]🛠️Class-imbalanced Ensemble Learning Toolbox. | 类别不平衡/长尾机器学习库

NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for noisy labels).

Parametric Contrastive Learning (ICCV2021) & GPaCo (TPAMI 2023)

[ICDE'20] ⚖️ A general, efficient ensemble framework for imbalanced classification. | 泛用，高效，鲁棒的类别不平衡学习框架

Handle class imbalance intelligently by using variational auto-encoders to generate synthetic observations of your minority class.

Machine learning model for Credit Card fraud detection

[ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift

[NeurIPS’20] ⚖️ Build powerful ensemble class-imbalanced learning models via meta-knowledge-powered resampler. | 设计元知识驱动的采样器解决类别不平衡问题

Cost-Sensitive Learning / ReSampling / Weighting / Thresholding / BorderlineSMOTE / AdaCost / etc.

1st place solution of RSNA Screening Mammography Breast Cancer Detection competition on Kaggle: https://www.kaggle.com/competitions/rsna-breast-cancer-detection

This is the code for Addressing Class Imbalance in Federated Learning (AAAI-2021).

Python package for tackling multi-class imbalance problems. http://www.cs.put.poznan.pl/mlango/publications/multiimbalance/

MICCAI 2023: DHC: Dual-debiased Heterogeneous Co-training Framework for Class-imbalanced Semi-supervised Medical Image Segmentation

PyTorch dataset debugger for computer vision — pause training, mine live loss signals to surface mislabels, class imbalance & outliers, then curate your image, video & LiDAR data without restarting

ResLT: Residual Learning for Long-tailed Recognition (TPAMI 2022)

Experiments to show the usage of deep learning to detect breast cancer from breast histopathology images

[NeurIPS 2025] This repo is official PyTorch implementation of the paper "Learning Dense Hand Contact Estimation from Imbalanced Data".

Build a CNN based model which can accurately detect melanoma