imbalanced-data
Here are 765 public repositories matching this topic...
Language:All
Sort:Most stars
A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.
- Updated
Jan 5, 2026 - Python
😎 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
- Updated
Feb 25, 2025
[ICML 2021, Long Talk] Delving into Deep Imbalanced Regression
- Updated
Mar 22, 2022 - Python
[NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning
- Updated
Apr 3, 2021 - Python
A collection of 85 minority oversampling techniques (SMOTE) for imbalanced learning with multi-class oversampling and model selection features
- Updated
Jan 3, 2024 - Jupyter Notebook
🛠️ Class-imbalanced Ensemble Learning Toolbox. | 类别不平衡/长尾机器学习库
- Updated
Apr 29, 2025 - Python
Synthetic Minority Over-Sampling Technique for Regression
- Updated
Feb 7, 2024 - Python
ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python
- Updated
Dec 15, 2020
[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
- Updated
Feb 5, 2024 - Python
Parametric Contrastive Learning (ICCV2021) & GPaCo (TPAMI 2023)
- Updated
Jul 21, 2025 - Python
An implementation of the focal loss to be used with LightGBM for binary and multi-class classification problems
- Updated
Nov 9, 2019 - Python
Python-based implementations of algorithms for learning on imbalanced data.
- Updated
Jan 29, 2022 - Python
Code repository for the online course Machine Learning with Imbalanced Data
- Updated
Nov 29, 2024 - Jupyter Notebook
[ECCV 2022] Multi-Domain Long-Tailed Recognition, Imbalanced Domain Generalization, and Beyond
- Updated
Jan 26, 2023 - Python
[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
- Updated
Jun 17, 2024 - Jupyter Notebook
Cost-Sensitive Learning / ReSampling / Weighting / Thresholding / BorderlineSMOTE / AdaCost / etc.
- Updated
Dec 16, 2020 - Python
Papers about long-tailed tasks
- Updated
Feb 2, 2023
A general, feasible, and extensible framework for classification tasks.
- Updated
Sep 19, 2025 - Python
PKBoost: Adaptive GBDT for Concept Drift, Built from scratch in Rust, PKBoost manages changing data distributions in fraud detection with a fraud rate of 0.2%. It shows less than 2% degradation under drift. In comparison, XGBoost experiences a 31.8% drop and LightGBM a 42.5% drop
- Updated
Jan 27, 2026 - Rust
ResLT: Residual Learning for Long-tailed Recognition (TPAMI 2022)
- Updated
Nov 7, 2023 - Python
Improve this page
Add a description, image, and links to theimbalanced-data topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with theimbalanced-data topic, visit your repo's landing page and select "manage topics."