imbalanced-ensemble
Ensemble learner
A library that enables quick and efficient ensemble learning on imbalanced datasets through various over-/under-sampling methods and algorithms
🛠️ Class-imbalanced Ensemble Learning Toolbox. | 类别不平衡/长尾机器学习库
340 stars
9 watching
52 forks
Language: Python
last commit: over 1 year ago
Linked from 1 awesome list
class-imbalanceclassificationdata-miningdata-scienceensembleensemble-imbalanced-learningensemble-learningensemble-modelimbalanced-classificationimbalanced-dataimbalanced-learninglong-tailmachine-learningmulti-class-classificationpythonpython3scikit-learnsklearn
josephmisiti/awesome-machine-learningRelated projects:
| Repository | Description | Stars |
|---|---|---|
 ikki407/stacking | A Python library implementing Stacked Generalization (Ensemble Learning) for combining multiple machine learning models to improve prediction accuracy. | 222 |
 dialnd/imbalanced-algorithms | A collection of algorithms and implementations for handling imbalanced data in machine learning | 235 |
 zackzikaixiao/fedgrab | A tool for training federated learning models with adaptive gradient balancing to handle class imbalance in multi-client scenarios. | 14 |
 flennerhag/mlens | A Python library for building and training ensemble machine learning models | 849 |
 mingruiliu-ml-lab/episode | An algorithm for Federated Learning with heterogeneous data, designed to optimize deep neural networks and improve performance | 2 |
 xjtushujun/meta-weight-net | This is an implementation of a meta-learning algorithm to address class imbalance issues in deep learning models with noisy labels. | 284 |
 ron1818/phd_code | A collection of source code and supporting materials for a PhD study on ensemble learning methods and machine learning algorithms. | 45 |
 reiinakano/xcessiv | A tool to automate the creation and optimization of stacked machine learning ensembles. | 1,268 |
 benedekrozemberczki/shapley | An open-source Python library for evaluating and explaining the contribution of individual classifiers in machine learning ensembles. | 219 |
 pengyang7881187/fedrl | Enabling multiple agents to learn from heterogeneous environments without sharing their knowledge or data | 56 |
 zfancy/sfat | Combating heterogeneity in federated learning by combining adversarial training with client-wise slack during aggregation | 28 |
 yamingguo98/fediir | An implementation of a federated learning algorithm that generalizes to out-of-distribution scenarios using implicit invariant relationships | 10 |
 jianyizhang123/flop | An experiment comparing different federated learning approaches for image classification tasks with non-iid datasets. | 8 |
 lyn1874/fedpvr | An implementation of a federated learning algorithm for handling heterogeneous data | 6 |
 hyhmia/distrans | Improves federated learning models by addressing data heterogeneity through distributional transformation | 5 |