[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
☆261Feb 5, 2024Updated 2 years ago
Alternatives and similar repositories for self-paced-ensemble
Users that are interested in self-paced-ensemble are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [NeurIPS'25]🛠️Class-imbalanced Ensemble Learning Toolbox. | 类别不平衡/长尾机器学习库☆429Mar 5, 2026Updated 7 months 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 2 years ago
- 😎 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☆1,530Jun 9, 2026Updated 4 months 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 4 years ago
- XGBoost for label-imbalanced data: XGBoost with weighted and focal loss functions☆341Feb 14, 2024Updated 2 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- A oversampling approach☆11Nov 21, 2018Updated 7 years ago
- Oversampling method based on relative density☆13Aug 26, 2020Updated 6 years ago
- This is the official PyTorch implementation of the paper "Rethinking Re-Sampling in Imbalanced Semi-Supervised Learning" (Ju He, Adam Kor…☆25Nov 18, 2021Updated 4 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
- A multi-label approach of the SMOTE algorithm☆10Aug 6, 2024Updated 2 years ago
- [NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning☆755Apr 3, 2021Updated 5 years ago
- DuBE: Duple-balanced Ensemble Learning from Skewed Data☆10Oct 31, 2022Updated 3 years ago
- Python package for tackling multi-class imbalance problems. http://www.cs.put.poznan.pl/mlango/publications/multiimbalance/☆77May 17, 2024Updated 2 years ago
- Cross-Project Software Defect Prediction via Statement Semantic Learning and Maximum Mean Discrepancy☆10Jul 26, 2021Updated 5 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Python-based implementations of algorithms for learning on imbalanced data.☆239Jan 29, 2022Updated 4 years ago
- An implementation of the focal loss to be used with LightGBM for binary and multi-class classification problems☆254Nov 9, 2019Updated 6 years ago
- P. Domingos proposed a principled method for making an arbitrary classifier cost-sensitive by wrapping a cost-minimizing procedure around…☆39May 20, 2019Updated 7 years ago
- Pytorch implementation of "DeepSMOTE: Fusing Deep Learning and SMOTE for Imbalanced Data".☆126Aug 6, 2021Updated 5 years ago
- [CIKM 2022] Towards Automated Over-Sampling for Imbalanced Classification☆10Mar 20, 2023Updated 3 years ago
- ☆13Dec 15, 2022Updated 3 years ago
- An Efficient, Scalable and Optimized Python Framework for Deep Forest (2021.2.1)☆960May 18, 2026Updated 5 months ago
- Code for the paper "Predict-then-optimize or predict-and-optimize? An empirical evaluation of cost-sensitive learning strategies".☆19Feb 7, 2024Updated 2 years ago
- ☆11Jun 22, 2018Updated 8 years ago
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning☆7,135Jun 29, 2026Updated 4 months ago
- ☆191Nov 3, 2017Updated 8 years ago
- Feature Selection using Genetic Algorithm (DEAP Framework)☆377Feb 21, 2023Updated 3 years ago
- Implementation of novel oversampling algorithms.☆34Oct 20, 2025Updated last year
- ☆14Mar 24, 2023Updated 3 years ago
- Using GreyWolfOptimization for feature selection and multi kernel SVM for classification for Malware Hunting on IoT devices☆46Feb 14, 2021Updated 5 years ago
- 第四届拍拍贷魔镜杯建模分享☆36Jul 26, 2019Updated 7 years ago
- ☆10Mar 7, 2023Updated 3 years ago
- 2019 DCIC---Group Image of Consumers -- Intelligent Scoring of Credits☆15Apr 11, 2019Updated 7 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- PyTorch implementation of "Self-Paced Balance Learning for Clinical Skin Disease Recognition"☆54Apr 4, 2024Updated 2 years ago
- Compares various time-series feature sets on computational performance, within-set structure, and between-set relationships.☆11Jun 3, 2022Updated 4 years ago
- ☆10Mar 29, 2019Updated 7 years ago
- Pytorch Implementation: Annealing Genetic GAN for Minority Oversampling (BMVC 2020)☆10Aug 5, 2020Updated 6 years ago
- A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.☆2,324Oct 5, 2026Updated 3 weeks ago
- Official implementation of "Open-set Label Noise Can Improve Robustness Against Inherent Label Noise" (NeurIPS 2021)☆20Jul 5, 2022Updated 4 years ago
- ☆15Jan 29, 2019Updated 7 years ago