[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
☆262Feb 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
Sorting:
- 🛠️ Class-imbalanced Ensemble Learning Toolbox. | 类别不平衡/长尾机器学习库☆417Apr 29, 2025Updated 10 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☆111Jun 17, 2024Updated last year
- 😎 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☆1,518Feb 25, 2025Updated last year
- 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
- XGBoost for label-imbalanced data: XGBoost with weighted and focal loss functions☆340Feb 14, 2024Updated 2 years ago
- A Python library for dynamic classifier and ensemble selection☆498Jan 20, 2026Updated last month
- Our implementations of the Multi-class Imbalance learning algorithms (for the KBS paper)☆46Mar 21, 2019Updated 6 years ago
- This is the implementation code for the paper "Trainable Undersampling for Class-Imbalance Learning" published in AAAI2019☆16Mar 17, 2019Updated 6 years ago
- This is the official PyTorch implementation of the paper "Rethinking Re-Sampling in Imbalanced Semi-Supervised Learning" (Ju He, Adam Kor…☆26Nov 18, 2021Updated 4 years ago
- A oversampling approach☆11Nov 21, 2018Updated 7 years ago
- [NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning☆761Apr 3, 2021Updated 4 years ago
- Oversampling method based on relative density☆13Aug 26, 2020Updated 5 years ago
- Python package for tackling multi-class imbalance problems. http://www.cs.put.poznan.pl/mlango/publications/multiimbalance/☆78May 17, 2024Updated last year
- ☆193Nov 3, 2017Updated 8 years ago
- Official implementation for paper "No One Idles: Efficient Heterogeneous Federated Learning with Parallel Edge and Server Computation", I…☆17Jul 26, 2023Updated 2 years ago
- Pytorch implementation of "DeepSMOTE: Fusing Deep Learning and SMOTE for Imbalanced Data".☆122Aug 6, 2021Updated 4 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 6 years ago
- An Efficient, Scalable and Optimized Python Framework for Deep Forest (2021.2.1)☆961Sep 14, 2025Updated 5 months ago
- Code for the paper "Predict-then-optimize or predict-and-optimize? An empirical evaluation of cost-sensitive learning strategies".☆20Feb 7, 2024Updated 2 years ago
- Self-Paced Multi-view Co-training for person re-id experiment☆30Jun 9, 2021Updated 4 years ago
- A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning☆7,085Feb 2, 2026Updated last month
- Factor Modeling for radiomics☆12Aug 29, 2025Updated 6 months ago
- NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for noisy labels).☆292Dec 14, 2021Updated 4 years ago
- Metric learning algorithms in Python☆1,430Aug 3, 2024Updated last year
- Linear Prediction Model with Automated Feature Engineering and Selection Capabilities☆537Jan 6, 2026Updated 2 months ago
- Radial-Based Undersampling for Imbalanced Data Classification☆12Jun 2, 2019Updated 6 years ago
- This repository contains the official code for "Flexible Biometrics Recognition: Bridging the Multimodality Gap through Attention, Alignm…☆11Oct 9, 2024Updated last year
- Image Search Engine with HuggingFace Sentence Transformer☆12Aug 31, 2023Updated 2 years ago
- ☆12Dec 15, 2022Updated 3 years ago
- A python implementation of the Radiomics approach by Aerts et al (http://www.nature.com/articles/ncomms5006)☆10Mar 22, 2017Updated 8 years 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 2 years ago
- ☆11Apr 3, 2023Updated 2 years ago
- Python implementations of the Boruta all-relevant feature selection method.☆1,621Nov 13, 2025Updated 3 months ago
- A curated list of long-tailed recognition resources.☆584Jun 13, 2023Updated 2 years ago
- This repository contains code for the paper "Decoupling Representation and Classifier for Long-Tailed Recognition", published at ICLR 202…☆974Oct 12, 2021Updated 4 years ago
- [NeurIPS 2019] Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss☆698Dec 25, 2021Updated 4 years ago
- Official Caffe implementation of Boosting Domain Adaptation by Discovering Latent Domains.☆23Aug 12, 2020Updated 5 years ago
- Tutorial on cost-sensitive boosting and calibrated AdaMEC.☆26May 5, 2017Updated 8 years ago