Projects in Awesome Lists tagged with imbalanced-learn
A curated list of projects in awesome lists tagged with imbalanced-learn .
https://github.com/zhiningliu1998/self-paced-ensemble
[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
class-imbalance classification ensemble ensemble-learning ensemble-methods ensemble-model imbalance-classification imbalanced-data imbalanced-learn imbalanced-learning machine-learning pypi python3
Last synced: 05 Apr 2025
https://github.com/zhiningliu1998/mesa
[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
class-imbalance ensemble ensemble-machine-learning ensemble-model imbalance-classification imbalanced-data imbalanced-learn imbalanced-learning mesa meta-learning-algorithms meta-sampler meta-training
Last synced: 01 Apr 2026
https://github.com/ZhiningLiu1998/mesa
[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
class-imbalance ensemble ensemble-machine-learning ensemble-model imbalance-classification imbalanced-data imbalanced-learn imbalanced-learning mesa meta-learning-algorithms meta-sampler meta-training
Last synced: 11 Apr 2025
https://github.com/zoj613/pyloras
Experimental implementations of several (over/under)-sampling techniques not yet available in the imbalanced-learn library.
imbalanced-learn loras prowras
Last synced: 03 Mar 2026
https://github.com/gaurav9364/credit-card-fraud-detection
Credit Card Fraud Detection using Machine Learning – A classification project that detects fraudulent credit card transactions using supervised learning, with data preprocessing, handling class imbalance, and model evaluation (ROC-AUC, Precision, Recall, F1-score).
googlecolab imbalanced-learn matplotlib numpy pandas python scikit-learn seaborn xgboost
Last synced: 08 Apr 2026
https://github.com/ricardorobledo/paymentcardfrauddetection2025
Comparative analysis of probabilistic classification models for credit card fraud detection, focusing on model calibration and threshold optimization in highly imbalanced datasets.
imbalanced-learn matplotlib numpy pandas python3 scikit-learn search
Last synced: 14 Apr 2026
https://github.com/danish-jamil-01/kidney-tumor-detection
Demonstrating how changes in input image resolution affect the algorithm's output
disease-prediction imbalanced-learn ipynb-jupyter-notebook jupiter-notebook kidney-disease-prediction matplotlib matplotlib-figures matplotlib-pyplot numpy numpy-python opencv opencv-python pandas pandas-python pathlib python scikit-image seaborn seaborn-python tensorflow
Last synced: 01 Feb 2026
https://github.com/lingumd/credit_risk_analysis
Machine learning models for predicting credit risk in LendingClub dataset.
balancedrandomforestclassifier classification-report cluster-centroids-undersampling confusion-matrix easyensembleclassifier get-dummies google-colab imbalanced-learn machine-learning matplotlib-pyplot numpy pandas pathlib randomoversampler scikit-learn smote smoteenn
Last synced: 17 Apr 2026
https://github.com/ttsudipto/recurrence-pred-genomics
ML-based prediction of NSCLC recurrence with gene expression data
boruta gene-expression imbalanced-learn machine-learning mcfs multilayer-perceptron non-small-cell-lung-cancer python r random-forest recurrence-prediction rna-seq scikit-learn smote support-vector-machine
Last synced: 30 Apr 2026
https://github.com/ifte-13/loan-approval-system
Loan Approval System
imbalanced-learn matplotlib numpy pandas scikit-learn seaborn tensorflow
Last synced: 11 Apr 2026
https://github.com/ifte-13/early-stage-brain-stroke-detection
Predictive Analysis & Early Detection of Brain stroke using Machine Learning Algorithm
decision-tree imbalanced-learn knn matplotlib numpy pandas random-forest scikit-learn seaborn
Last synced: 06 Jul 2025
https://github.com/javedfazlulahf/customer-churn-prediction
📊 Predict customer churn in telecom using machine learning to enhance retention strategies and drive better business outcomes.
churn-prediction cross-validation data-science factorization-machines imbalanced-learn libsvm machine-learning model-evaluation pipelines plotly scikit-learn seaborn shap-values spark-ml survival-analysis tensorflow watson-studio xgboost4j
Last synced: 11 May 2026
https://github.com/inesruizblach/data-science-project
A data science project exploring Portuguese "Vinho Verde" wine quality prediction. Features EDA, feature engineering, ML models, and evaluation using Python, pandas, scikit-learn, and visualization tools.
binary-classification classification data-science exploratory-data-analysis feature-engineering imbalanced-learn jupyter-notebook machine-learning model-evaluation pandas regression scikit-learn seaborn uci-dataset wine-quality
Last synced: 09 May 2026
