A collection of 85 minority oversampling techniques (SMOTE) for imbalanced learning with multi-class oversampling and model selection features
☆685Jan 3, 2024Updated 2 years ago
Alternatives and similar repositories for smote_variants
Users that are interested in smote_variants are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Oversampling for imbalanced learning based on k-means and SMOTE☆129May 19, 2021Updated 5 years ago
- Oversampling method based on relative density☆13Aug 26, 2020Updated 5 years ago
- machine learning databases☆17Nov 18, 2023Updated 2 years ago
- Pytorch implementation of "DeepSMOTE: Fusing Deep Learning and SMOTE for Imbalanced Data".☆126Aug 6, 2021Updated 4 years ago
- Implementation of novel oversampling algorithms.☆34Oct 20, 2025Updated 7 months ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- 😎 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☆1,517Updated this week
- [NeurIPS'25]🛠️Class-imbalanced Ensemble Learning Toolbox. | 类别不平衡/长尾机器学习库☆427Mar 5, 2026Updated 3 months ago
- Python package for tackling multi-class imbalance problems. http://www.cs.put.poznan.pl/mlango/publications/multiimbalance/☆78May 17, 2024Updated 2 years ago
- Evaluate the performance of the oversampling method KMeans-SMOTE☆17Mar 30, 2019Updated 7 years ago
- Python-based implementations of algorithms for learning on imbalanced data.☆241Jan 29, 2022Updated 4 years ago
- This method is a new oversampling algorithm and can circumvent the deficiency of WK-SMOTE (and SMOTE as well as its variants) caused by r…☆16Oct 26, 2022Updated 3 years ago
- A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning☆7,105Jun 7, 2026Updated last week
- [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☆260Feb 5, 2024Updated 2 years ago
- [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☆110Jun 17, 2024Updated last year
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- A Python library for dynamic classifier and ensemble selection☆503Jan 20, 2026Updated 4 months ago
- Cost-Sensitive Learning / ReSampling / Weighting / Thresholding / BorderlineSMOTE / AdaCost / etc.☆110Dec 16, 2020Updated 5 years ago
- ☆23Jul 29, 2019Updated 6 years ago
- Pytorch Implementation of SMOTE☆18Feb 6, 2021Updated 5 years ago
- ☆191Nov 3, 2017Updated 8 years ago
- Handle class imbalance intelligently by using variational auto-encoders to generate synthetic observations of your minority class.☆125Jul 31, 2019Updated 6 years ago
- DuBE: Duple-balanced Ensemble Learning from Skewed Data☆10Oct 31, 2022Updated 3 years ago
- Radial-Based Undersampling for Imbalanced Data Classification☆12Jun 2, 2019Updated 7 years ago
- MATLAB Implementation of SMOTE related algorithms☆32Jul 3, 2024Updated last year
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- XGBoost for label-imbalanced data: XGBoost with weighted and focal loss functions☆341Feb 14, 2024Updated 2 years ago
- This repository contains implementation of some techniques like SMOTE, ADASYN, SMOTE + Tomek Links, SMOTE + ENN to overcome class imbalan…☆49Oct 6, 2020Updated 5 years ago
- A oversampling approach☆11Nov 21, 2018Updated 7 years ago
- A collection of Open Source Contributions in Learning from Imbalanced and Overlapped Data☆20Dec 30, 2021Updated 4 years ago
- This repository contains the source code for four oversampling methods that I wrote in MATLAB: 1) SMOTE 2) Borderline SMOTE 3) Safe Level…☆35Jul 29, 2016Updated 9 years ago
- Radial-Based Oversampling for Noisy Imbalanced Data Classification☆14Mar 12, 2018Updated 8 years ago
- Parallelize your computations in parallel-apply fashion.☆33Jul 19, 2019Updated 6 years ago
- CostSensitiveClassification Library in Python☆203Jul 29, 2020Updated 5 years ago
- This is the implementation code for the paper "Trainable Undersampling for Class-Imbalance Learning" published in AAAI2019☆15Mar 17, 2019Updated 7 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- GANs for class imbalanced problems☆29Jul 18, 2022Updated 3 years ago
- ☆69Dec 8, 2022Updated 3 years ago
- A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.☆655Feb 19, 2024Updated 2 years ago
- Python implementations of the Boruta all-relevant feature selection method.☆1,628Nov 13, 2025Updated 7 months ago
- Supplementary code and data of the paper Evaluating network embedding techniques' performances in software bug prediction☆11Aug 13, 2021Updated 4 years ago
- [CIKM 2022] Towards Automated Over-Sampling for Imbalanced Classification☆10Mar 20, 2023Updated 3 years ago
- Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).☆1,592May 26, 2026Updated 3 weeks ago