Projects in Awesome Lists tagged with imbalanced-learning

https://github.com/ZhaoJ9014/face.evoLVe

🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥

artificial-intelligence computer-vision convolutional-neural-network data-augmentation deep-learning face-alignment face-detection face-landmark-detection face-recognition feature-extraction fine-tuning hard-negative-mining imbalanced-learning machine-learning model-training nus pytorch supervised-learning tencent transfer-learning

Last synced: 10 May 2025

https://github.com/zhaoj9014/face.evolve

🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥

artificial-intelligence computer-vision convolutional-neural-network data-augmentation deep-learning face-alignment face-detection face-landmark-detection face-recognition feature-extraction fine-tuning hard-negative-mining imbalanced-learning machine-learning model-training nus pytorch supervised-learning tencent transfer-learning

Last synced: 29 Apr 2025

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/analyticalmindsltd/smote_variants

A collection of 85 minority oversampling techniques (SMOTE) for imbalanced learning with multi-class oversampling and model selection features

imbalanced-data imbalanced-learning oversampling smote

Last synced: 21 Oct 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/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/dvlab-research/parametric-contrastive-learning

Parametric Contrastive Learning (ICCV2021) & GPaCo (TPAMI 2023)

class-imbalance contrastive-learning iccv2021 image-classification imagenet imbalanced-data imbalanced-learning long-tailed-recognition parametric-contrastive-learning pytorch supervised-contrastive-learning supervised-learning tpami

Last synced: 03 Jul 2025

https://github.com/dvlab-research/Parametric-Contrastive-Learning

Parametric Contrastive Learning (ICCV2021) & GPaCo (TPAMI 2023)

class-imbalance contrastive-learning iccv2021 image-classification imagenet imbalanced-data imbalanced-learning long-tailed-recognition parametric-contrastive-learning pytorch supervised-contrastive-learning supervised-learning tpami

Last synced: 08 May 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/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/maxhalford/pytorch-resample

🎲 Iterable dataset resampling in PyTorch

imbalanced-learning oversampling pytorch resampling undersampling

Last synced: 17 Jul 2025

https://github.com/MaxHalford/pytorch-resample

🎲 Iterable dataset resampling in PyTorch

imbalanced-learning oversampling pytorch resampling undersampling

Last synced: 08 May 2025

https://github.com/jiequancui/ResLT

ResLT: Residual Learning for Long-tailed Recognition (TPAMI 2022)

class-imbalance imbalance-classification imbalanced-data imbalanced-learning long-tail long-tailed-recognition

Last synced: 08 May 2025

https://github.com/borealisai/ranksim-imbalanced-regression

[ICML 2022] RankSim: Ranking Similarity Regularization for Deep Imbalanced Regression

imbalanced-data imbalanced-learning imbalanced-regression regression

Last synced: 07 Apr 2025

https://github.com/georgedouzas/imbalanced-learn-extra

Implementation of novel oversampling algorithms.

clustering-based-oversampling data-science g-somo geometric-smote imbalanced-learning kmeans-smote machine-learning oversampling python scikit-learn smote

Last synced: 06 Feb 2026

https://github.com/zhiningliu1998/bat

[ICML'24] BAT: 🚀 Boost Class-imbalanced Node Classification with <10 lines of Code | 从拓扑视角出发10行代码改善类别不平衡节点分类

data-augmentation graph-algorithms graph-machine-learning graph-mining imbalanced-data imbalanced-learning machine-learning node-classification

Last synced: 05 May 2025

https://github.com/ncordon/undergraduate-dissertation

Final career project on PAC theory and imbalanced datasets

imbalanced-learning machine-learning pac-theory

Last synced: 19 Feb 2026

https://github.com/mdh266/textclassificationapp

Building and Deploying A Serverless Text Classification Web App

data-science docker document-classification fastapi imbalanced-data imbalanced-learning machine-learning naive-bayes natural-language-processing nlp nltk scikit-learn support-vector-machine text-classification

Last synced: 30 Jul 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/sayamalt/water-quality-prediction

Successfully established a machine learning model which can predict whether any given water sample is potable or not, based on its set of various properties, to a considerably high level of accuracy.

classification-models data-visualization exploratory-data-analysis feature-engineering imbalanced-learning model-deployment outlier-treatment supervised-machine-learning

Last synced: 31 Aug 2025

https://github.com/hmjianggatech/esmote

ESmote - An R package implemneting fast SMOTE algorithm

imbalanced-learning machine-learning r smote

Last synced: 02 May 2026

https://github.com/sayamalt/stellar-classification---sloan-digital-sky-survey-17

Successfully established a machine learning model which can predict an appropriate stellar class, on the basis of a distinct set of spectral characteristics, to a substantially high level of accuracy.

cross-validation data-preprocessing data-visualization exploratory-data-analysis feature-engineering feature-scaling imbalanced-learning model-deployment model-evaluation model-training multiclass-classification supervised-machine-learning

Last synced: 11 Jan 2026

https://github.com/iamdanialkamali/imbalancedlittledata

Trying to solve a imbalanced little data in text sentiment analysis

bert huggingface imbalance-classification imbalanced-learning keras-tensorflow tensorflow2

Last synced: 24 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/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/analitico-771/creditworthiness_classification_model

This is an Application that trains a model using supervised learning and imbalanced-learn library in order to classify and identify the creditworthiness of borrowers

artificial-intelligence credit-risk fintech imbalanced-learning machine-learning python quantitative-finance scikit-learn supervised-machine-learning

Last synced: 04 May 2026

https://github.com/bagusperdanay7/absa-with-bilstm-undergraduate-thesis

My undergraduate thesis program, Aspect-Based Sentiment Analysis Towards Matket Place Application Review Using Bidirectional Long Short-Term Memory used Python, Keras and Tensorflow

ai aspect-based-sentiment-analysis bilstm deep-learning gensim imbalanced-learning ipython-notebook keras machine-learning matplotlib natural-language-processing nltk numpy pandas python scikit-learn seaborn tensorflow

Last synced: 11 Apr 2026

https://github.com/hafidaso/predicting-industrial-machine-downtime-level-3

This project aims to develop a predictive model using machine learning techniques to forecast machine failures based on historical operational data.

imbalanced-learning numpy pandas python scikit-learn seaborn xgboost

Last synced: 16 Apr 2026

https://github.com/ricardorobledo/spamemailclassification

Spam email classification using machine learning (Random Forest, SVC, Logistic Regression, etc.) with data balancing techniques (SMOTE, BorderlineSMOTE, ADASYN). Final calibrated Random Forest model achieves ROC-AUC 0.982 and PR-AUC 0.979 on the Spam Email Classification dataset.

imbalanced-data imbalanced-learning numpy pandas python3 sklearn

Last synced: 05 Apr 2026

https://github.com/mariiasam/stroke-prediction

A model for predicting the risk of stroke in a patient

balanced-random-forest-classifier decission-tree-classifier gradient-boosting imbalanced-learning joblib logistic-regression matplotlib numpy random-forest-classifier scikit-learn seaborn streamlit

Last synced: 04 May 2026

https://github.com/mehrab-kalantari/credit-card-fraud-detection

Credit card transactions fraud detection using classic algorithms

association-analysis auc-roc-curve correlation-analysis credit-card-fraud-detection feature-engineering fraud-detection imbalanced-learning model-selection roc-curve smote-tomek

Last synced: 21 Apr 2026

https://github.com/blleshi/credit_risk_classification

Credit Risk Classification

classification-report confusion-matrix credit-risk credit-risk-classification data-testing data-training imbalanced-learning lending loans logistic-regression logistic-regression-model pandas randomoversampler resampled-data target-classification

Last synced: 10 May 2026

https://github.com/mehrab-kalantari/sms-spam-classifier

Building spam classifier using different algorithms and choosing the best one to build a streamlit application

classification english-nlp imbalanced-learning machine-learning nlp streamlit supervised-learning voting-classifier

Last synced: 09 May 2026

https://github.com/bishopce16/credit_risk_analysis

An analysis to build and evaluate a dataset from LendingClub to discover credit risk using Supervised Machine Learning Algorithms.

imbalanced-learning jupyter-notebook machine-learning machine-learning-algorithms pandas python scikit-learn visual-studio-code

Last synced: 11 Apr 2026

https://github.com/rakibhhridoy/handlingimbalanceddataset-business

It is important that credit card companies are able to recognize fraudulent credit card transactions so that customers are not charged for items that they did not purchase but by others illegally. Some huge transactions can also done by suspicious figure, it need to catch em.

auc business-intelligence fraud-detection imbalanced-data imbalanced-learning machine-learning oversampling precision recall smote transcations

Last synced: 14 May 2025

https://github.com/joecerniglia/glass_ml2

Historical research using Machine Learning

archaeological-science artifacts aviation-accidents glass historical-data imbalanced-learning jupyter-notebook machine-learning-algorithms python3

Last synced: 18 Apr 2026

https://github.com/varshithdupati/transaction-fraud-detection

Machine Learning pipeline for financial transaction fraud detection. Incorporates SMOTE, ensemble models, neural networks.

arizona-state-university autoencoder catboost data-mining ensemble-learning financial-security fraud-detection imbalanced-learning kaggle lightbgm machine-learning neural-networks python smote xgboost

Last synced: 06 May 2026

https://github.com/amr-yasser226/machine-learning-for-network-intrusion-detection

A complete pipeline for network intrusion detection comparing label encoding and one‑hot encoding, with SMOTE resampling, feature selection, and ensemble modeling using scikit‑learn and XGBoost, also this was phase one of our University's "CSAI 253- Machine Learning" course.

csai-253 cybersecurity cybersecurity-training ensamble-methods feature-engineering imbalanced-learning machine-learning machine-learning-algorithms network-intrusion-detection one-hot-encoding sckit-learn smote tree-based-model xgboost zewailcity

Last synced: 17 Jul 2025

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/dvarshith/transaction-fraud-detection

Machine Learning pipeline for financial transaction fraud detection. Incorporates SMOTE, ensemble models, neural networks.

arizona-state-university autoencoder catboost data-mining ensemble-learning financial-security fraud-detection imbalanced-learning kaggle lightbgm machine-learning neural-networks python smote xgboost

Last synced: 28 Feb 2025

https://github.com/ricardorobledo/malicious_server_hack_detection

Predictive model to detect malicious hacking patterns in banking servers. Utilizes advanced Machine Learning techniques such as SMOTE, Gradient Boosting, and probability calibration to predict attacks befor

anaconda cibersecurity imbalanced-data imbalanced-learning imblearn kaggle matplotlib numpy pandas pandas-library python3 sklearn

Last synced: 14 Apr 2026