https://github.com/YyzHarry/imbalanced-regression

[ICML 2021, Long Talk] Delving into Deep Imbalanced Regression

computer-vision healthcare icml icml-2021 imbalance imbalanced-classification imbalanced-data imbalanced-learning imbalanced-regression long-tail natural-language-processing regression

Last synced: 09 May 2025

https://github.com/YyzHarry/imbalanced-semi-self

[NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning

class-imbalance imbalanced-classification imbalanced-data imbalanced-learning long-tail long-tailed-recognition neurips neurips-2020 self-supervised-learning semi-supervised-learning unlabeled-data

Last synced: 08 May 2025

https://github.com/zhiningliu1998/imbalanced-ensemble

🛠️ Class-imbalanced Ensemble Learning Toolbox. | 类别不平衡/长尾机器学习库

class-imbalance classification data-mining data-science ensemble ensemble-imbalanced-learning ensemble-learning ensemble-model imbalanced-classification imbalanced-data imbalanced-learning long-tail machine-learning multi-class-classification python python3 scikit-learn sklearn

Last synced: 15 May 2025

https://github.com/ZhiningLiu1998/imbalanced-ensemble

🛠️ Class-imbalanced Ensemble Learning Toolbox. | 类别不平衡/长尾机器学习库

class-imbalance classification data-mining data-science ensemble ensemble-imbalanced-learning ensemble-learning ensemble-model imbalanced-classification imbalanced-data imbalanced-learning long-tail machine-learning multi-class-classification python python3 scikit-learn sklearn

Last synced: 11 Apr 2025

https://github.com/solegalli/machine-learning-imbalanced-data

Code repository for the online course Machine Learning with Imbalanced Data

data-science imbalanced-classification imbalanced-data imbalanced-learning machine-learning python

Last synced: 16 May 2025

https://github.com/jiawei-ren/BalancedMetaSoftmax-Classification

[NeurIPS 2020] Balanced Meta-Softmax for Long-Tailed Visual Recognition

imbalanced-classification imbalanced-learning

Last synced: 05 Apr 2025

https://github.com/YyzHarry/multi-domain-imbalance

[ECCV 2022] Multi-Domain Long-Tailed Recognition, Imbalanced Domain Generalization, and Beyond

deep-learning domain-adaptation domain-generalization eccv eccv-2022 imbalance imbalanced-classification imbalanced-data imbalanced-learning long-tail long-tailed-recognition multi-domain multi-domain-learning ood ood-generalization

Last synced: 08 May 2025

https://github.com/TACJu/Bi-Sampling

This is the official PyTorch implementation of the paper "Rethinking Re-Sampling in Imbalanced Semi-Supervised Learning" (Ju He, Adam Kortylewski, Shaokang Yang, Shuai Liu, Cheng Yang, Changhu Wang, Alan Yuille).

imbalanced-classification semi-supervised-learning

Last synced: 08 May 2025

https://github.com/LirongWu/GraphMixup

Code for ECML-PKDD 2022 paper "GraphMixup: Improving Class-Imbalanced Node Classification by Reinforcement Mixup and Self-supervised Context Prediction"

graph-algorithms graph-self-supervised-learning imbalanced-classification imbalanced-data reinforcement-learning

Last synced: 15 Aug 2025

https://github.com/lirongwu/graphmixup

Code for ECML-PKDD 2022 paper "GraphMixup: Improving Class-Imbalanced Node Classification by Reinforcement Mixup and Self-supervised Context Prediction"

graph-algorithms graph-self-supervised-learning imbalanced-classification imbalanced-data reinforcement-learning

Last synced: 27 Jul 2025

https://github.com/wildoctopus/cbloss

Pytorch implementation of Class Balanced Loss based on Effective number of Samples

cbloss class-balanced-loss classbalancedloss focal-loss focalloss imbalanced-classification pytorch-implementation

Last synced: 26 Oct 2025

https://github.com/theochem/b3clf

Predictors for Blood-Brain Barrier Permeability with resampling strategies based on B3DB database.

bioinformatics blood-brain-barrier classification cns-drug drug-design imbalanced-classification imbalanced-learning molecular-modeling permeability

Last synced: 24 Oct 2025

https://github.com/amajji/multi-class-classification

Deployment of a classification model on a webapp using FLASK for the backend and html/CSS/JS for frontend

analyse-data app classification data flask flask-application imbala imbalanced-classes imbalanced-classification imbalanced-data machine-learning machine-learning-algorithms preprocessing webapp webapplication

Last synced: 24 Sep 2025

https://github.com/solegalli/imbalanced-data-myths-mistakes-solutions

Code repository for the book "Imbalanced Data: Myths, Mistakes and Modern Solutions".

cost-sensitive-learning data-preparation data-preprocessing data-science imbalanced-classification imbalanced-data imbalanced-learning imblearn machine-learning machine-learning-algorithms python scikit-learn

Last synced: 22 Jun 2026

https://github.com/ejw-data/ml-myopia

A variety of machine learning techniques used to identify nearsighted patients

cross-validation gridsearchcv imbalanced-classification kmeans knn machine-learning pca pipeline python random-forest scikit-learn svc tensorflow tsne

Last synced: 11 Jul 2025

https://github.com/splch/qbs

An effective and flexible Quantile-Based Balanced Sampling algorithm for addressing class imbalance in datasets while preserving the underlying data distribution, improving model performance across various machine learning applications.

classification data-analysis imbalanced-classification imbalanced-data machine-learning resampling

Last synced: 01 Apr 2025

https://github.com/k1nght/online_cl_logit_adjusted_softmax

official code repository for TMLR paper "Online Continual Learning via Logit Adjusted Softmax"

continual-learning imbalanced-classification logit-adjusted-softmax online-continual-learning

Last synced: 05 Apr 2025

https://github.com/mmsaki/credit-risks-ml

Using the imbalanced-learn and Scikit-learn libraries to build and evaluate machine learning models.

balanced-accuracy-scores classification-models credit-risk imbalanced-classification imbalanced-learning loan-prediction-analysis logistic-regression machine-learning oversampling predictive-modeling resampling sklearn smote-oversampler smoteenn-combination undersampling-technique

Last synced: 28 Apr 2026

https://github.com/ahmetzamanis/usedcarkicksclassification

Imbalanced classification with scikit-learn and PyTorch Lightning.

class-weights classification classification-metrics data-science deep-learning focal-loss hyperparameter-optimization imbalanced-classification logistic-regression machine-learning neural-network optuna python pytorch pytorch-lightning scikit-learn sensitivity-analysis stochastic-gradient-descent support-vector-machines xgboost

Last synced: 10 May 2026

https://github.com/antoniof1704/imbalanced-classification-example

An example of a model I built where the dataset contained a very imbalanced class. Due to data governance rules, I have replaced the original dataset used in the modelling with a credit card fraud dataset from Kaggle.

fraud-detection imbalanced-classification jupiter-notebook modelling smote

Last synced: 10 Sep 2025

https://github.com/mwombeki6/multiclass-machine-learning-web-app

This is a multiclass classification project to classify severity of road accidents into three categories. this project is based on real-world data and dataset is also highly imbalanced.

classification data-mining data-science imbalanced-classification machine-learning

Last synced: 03 Aug 2025

https://github.com/ekellbuch/longtail_ensembles

Evaluating ensemble performance in long-tailed datasets (Neurips 2023 Heavy Tails Workshop)

class-imbalance ensemble-learning fairness-ml imbalanced-classes imbalanced-classification imbalanced-data imbalanced-learning

Last synced: 15 May 2026

https://github.com/clementetienam/stroke-classification-task

classification deep-neural-networks imbalanced-classification

Last synced: 26 Mar 2025

https://github.com/praveenpolisetty/fraudcost

...

anti-money-laundering calibration cost-sensitive-learning financial-ml fraud-detection imbalanced-classification machine-learning python

Last synced: 08 Jun 2026

https://github.com/celineboutinon/credit-scoring

Source code for OpenClassrooms - Data Scientist Project 7 - Implement a Scoring Model

drift-detection evidently fraud-detection imbalanced-classification lightgbm mlflow mlflow-model pyfunc sklearn smote-oversampler streamlit xgboost-classifier

Last synced: 06 May 2026

https://github.com/mohammad95labbaf/outlier-imbalanced-fraud-detection

The Credit Card Fraud Detection project uses statistical techniques and machine learning for identifying fraudulent transactions. It includes data preprocessing, outlier detection using Boxplots and Z-scores, and a decision tree model. Evaluation goes beyond accuracy, considering precision, recall, F1-score, and ROC AUC.

boxplot classification-model credit-card credit-card-fraud credit-card-fraud-detection decision-tree decision-tree-classifier fraud-detection imbalanced-classification imbalanced-data outlier-detection outlier-removal z-score

Last synced: 10 Jun 2026

https://github.com/jianninapinto/bandersnatch

This project implements a machine learning model using Random Forest, XGBoost, and Support Vector Machines algorithms with oversampling and undersampling techniques to handle imbalanced classes for classification tasks in the context of predicting the rarity of monsters.

altair imbalanced-classification imblearn machine-learning mongodb oversampling pycharm-ide pymongo python random-forest-classifier scikit-learn smote support-vector-machines undersampling xgboost

Last synced: 29 Sep 2025

https://github.com/mehrab-kalantari/vehicle-claim-fraud-detection

Vehicle insurance claim fraud detection dataset analysis and modeling

classification data-preprocessing data-understanding imbalanced-classification imbalanced-data machine-learning supervised-learning

Last synced: 14 Apr 2026

https://github.com/ahmetzamanis/loanrequestclassification

Imbalanced classification with loan clients dataset.

classification data-science hyperparameter-optimization imbalanced-classification k-nearest-neighbours logistic-regression machine-learning mlr3 naive-bayes performance-metrics regularization support-vector-machines xgboost

Last synced: 22 Aug 2025

https://github.com/halacoded/bodyperformance_imbalanced

exploring Imbalanced classification and Techniques to Handle Imbalance.

coded imbalanced-classification imbalanced-data machine-learning

Last synced: 21 Jun 2025

https://github.com/muhammadhassan2020/fruit-freshness-classification-app

cnn deep-learning fruit-quality-computer-vision image-classification imbalanced-classification keras rotten-fruit-detection tensorflow

Last synced: 12 Apr 2026

https://github.com/andreazoccatelli/tabular_data_augmentation_continuous

This repository contains the scripts used to write my master degree thesis project: "Augmentation of tabular data with continuous features for binary imbalanced classification problems"

cgan copula data-augmentation imbalanced-classification imbalanced-data imbalanced-learning

Last synced: 21 Apr 2026

https://github.com/lkethridge/supervised_learning

Supervised Learning project from TripleTen

class-imbalance-handling confusion-matrix data-upload downsampling f1-score feature-prep feature-scaling fpr imbalanced-classification label-encoding one-hot-encoding ordinal-encoding pr-curve precision recall regression-metrics roc-curve supervised-learning tpr upsampling

Last synced: 28 Mar 2025

https://github.com/jiagengchang/fhr

Multi-omics integration for the classification of functional high risk patients in multiple myeloma.

dimensional-reduction imbalanced-classification multi-omics-integration scikit-learn-pipelines

Last synced: 19 Oct 2025

https://github.com/0zean/hellingerforest

A Python library built in Rust for implementing the Hellinger distance splitting criteria in a Random Forest Classifier to address imbalanced data. Work in progress.

decision-trees imbalanced-classification imbalanced-data random-forest-classifier

Last synced: 05 Jun 2026