😎 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).

[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

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

Open-source PyTorch tool that traces live training signals back to the data samples causing them. Pause the training to find mislabels, outliers, and class imbalance in image, video, and LiDAR datasets. And train again.

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

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

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

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

Build a CNN based model which can accurately detect melanoma