imbalance-classification

There are 3 repositories under imbalance-classification topic.

self-paced-ensemble
ZhiningLiu1998 / self-paced-ensemble
ICDE'20 | A general & effective ensemble framework for imbalanced classification. | 泛用，高效，鲁棒的类别不平衡学习框架
imbalance-classification ensemble-learning imbalanced-learning imbalanced-data ensemble-methods machine-learning python3 ensemble ensemble-model classification pypi class-imbalance imbalanced-learn
Language:Python 248
mesa
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
imbalanced-learning imbalanced-data meta-learning-algorithms meta-sampler ensemble ensemble-model ensemble-machine-learning mesa meta-training class-imbalance imbalance-classification imbalanced-learn
Language:Jupyter Notebook 103
balanced-fl / Addressing-Class-Imbalance-FL
This is the code for Addressing Class Imbalance in Federated Learning (AAAI-2021).
federated-learning class-imbalance neural-network-training machine-learning loss-functions imbalance-classification
Language:Python 81
GZWQ / Awesome-Long-Tailed
Papers about long-tailed tasks
long-tailed-recognition long-tail imbalanced-data imbalance-classification imbalanced-learning
81
jiequancui / ResLT
ResLT: Residual Learning for Long-tailed Recognition (TPAMI 2022)
long-tailed-recognition imbalanced-data imbalanced-learning imbalance-classification long-tail class-imbalance
Language:Python 53
YijinHuang / pytorch-classification
A general, feasible, and extensible framework for classification tasks.
classification imbalance-classification imbalanced-data medical-image-analysis
Language:Python 50
farhantandia / Tricks-for-Handling-Imbalanced-Dataset-Image-Classification
Some trick for handling imbalanced dataset
imbalanced-data imbalanced-learning imbalance-classification
Language:Jupyter Notebook 19
lvyilin / DGC
Official implementation of CVPR2020 paper "Deep Generative Model for Robust Imbalance Classification"
imbalance-classification deep-neural-networks deep-generative-model
Language:Python 14
baguspurnama98 / BM-FKNCN
A Bonferroni Mean Based Fuzzy K-Nearest Centroid Neighbor (BM-FKNCN), BM-FKNN, FKNCN, FKNN, KNN Classifier
classification classification-algorithm knn knn-classification bonferroni imbalanced-data imbalance-classification fuzzy-logic fuzzy-classification
Language:Jupyter Notebook 7
mrinal1704 / Credit-Card-Transaction-Fraud-Detection-using-Supervised-Machine-learning-with-an-Imbalanced-dataset
Credit card fraud is a burden for organizations across the globe. Specifically, $24.26 billion were lost due to credit card fraud worldwide in 2018, according to shiftprocessing.com. In this project, our goal was to build an effective and efficient model to predict fraud. We analyzed a real-world dataset that contained a list of government related credit card transactions over the 2010 calendar year. The data presented a supervised problem as it included a column showing the transaction’s fraud label (whether a transaction was fraudulent or not). It also contained identifying information about each transaction such as the credit card number, merchant, merchant state, etc. The dataset had 96,753 records and 10 data fields. We first described and visualized each of the 10 data fields, cleaned the dataset, and filled in missing values. Then we created many variables and performed feature selection. Finally, we created a variety of machine learning models (both linear and nonlinear) and highlighted our results.
supervised-machine-learning imbalance-classification feature-engineering feature-extraction fraud-detection
Language:Jupyter Notebook 7
HaoWeiHe / Multi-label-classification
Identify and classify toxic commentary
transfer-learning multilabel-classification toxic-comment-classification lstm-neural-networks imbalance-classification visualization bert
Language:Python 5
rodolfomp123 / imb-mulan
The Mulan Framework with Multi-Label Resampling Algorithms
imbalanced-learning imbalanced-data multi-label-classification multilabel multi-label mulan-framework mulan imb-mulan imbalanceness-mulan imbalanceness multilabel-imbalance multi-label-imbalanceness multi-label-learning multi-label-imbalance imbalance-classification data-imbalance multi-label-problem
Language:HTML 5
chenzhivis / Analysis-and-Classification-of-Restaurant-Reviews
Developed a NLP classification model that can classify negative reviews of restaurants, help restaurant managers save time on reviewing comments, absorbing information. Analyze the service defects, help restaurants improve business
natural-language-processing nlp-classification-model imbalance-classification scikitlearn-machine-learning
Language:Jupyter Notebook 2
iamdanialkamali / ImbalancedLittleData
Trying to solve a imbalanced little data in text sentiment analysis
imbalanced-learning imbalance-classification bert huggingface tensorflow2 keras-tensorflow
Language:Jupyter Notebook 2
m0h1t98 / Credit_Card_Fraud
This is a classification problem to detect or classify the fraud with label 0 or 1. Class with label 1 means fraud is detected otherwise 0. The biggest challenge is to handle the imbalanced data set.
machine-learning python3 classification-algorithm imbalance-classification creditcardfrauddetection
Language:Jupyter Notebook 2
saminens / Predicting-Bankruptcy-of-firms
In class Kaggle competition on predicting bankruptcy of a firm
random-forest-classifier xgboost-algorithm lightgbm stacked-ensembles smote auc machine-learning random-forest xgboost imbalance-classification imbalance machine-learning-algorithms python bankruptcy-prediction prediction
Language:Jupyter Notebook 2
spapicchio / Gamma-Telescope-Analysis
Machine Learning analysis for an imbalanced dataset. Developed as final project for the course "Machine Learning and Intelligent Systems" at Eurecom, Sophia Antipolis
imbalance-classification svm-classifier random-forest ablation-study learning-curves roc-curves imblearn
Language:Jupyter Notebook 2
CRDK1009 / Exploring-Planets
Algorithms used to confirm whether a celestial body is a planet or not.
random-forest-classifier extreme-gradient-boosting randomsearch-cv gridsearchcv informed-search stacking-ensemble imbalance-classification
Language:Jupyter Notebook 1
devinaa1604 / Credit_Risk_Analysis_Using_Classification
This project aims to predict credit risk using various ensemble machine learning techniques. I have also tried to handle imbalance by using various sampling methods.
logistic-regression imbalanced-learning balanced-accuracy-scores imbalance-classification smote-sampling cluster-centroids smoteenn ensemble-learning
Language:Jupyter Notebook 1
Targeted-Meta-Learning
MLOPTPSU / Targeted-Meta-Learning
In this repository, we implement Targeted Meta-Learning (or Targeted Data-driven Regularization) architecture for training machine learning models with biased data.
ml bias training bilevel-optimization meta-learning tensorflow tensorflow2 targeted-learning deep-learning imbalanced-learning imbalanced-data imbalance-classification
Language:Python 1
mmkamani7 / Targeted-Meta-Learning
In this repository, we implement Targeted Meta-Learning (or Targeted Data-driven Regularization) architecture for training machine learning models with biased data.
bias bilevel-optimization deep-learning imbalance-classification imbalanced-data imbalanced-learning meta-learning ml tensorflow tensorflow2 training
Language:Python 1
mquinlan0824 / Computer-Vision-Master-Thesis-Project
Contained in this repository are the Jupyter notebooks that contain the scripts used in this project. Examples include: exploratory data analysis, creation of training, validation and test data sets, and CNN model development and data extraction.
cnn computer vision binary classification imbalanced-data imbalance-classification evaluation-metrics transfer-learning data augmentation meteorology fog
Language:Jupyter Notebook 1
Patil-Sahil / AmExpert-2019-ML-Hackathon
AmExpert 2019 - Machine Learning Hackathon
hackathon amexpert amex analytics-vidhya-competition imbalance-classification
Language:Jupyter Notebook 1
pranaysingh25 / IBM-Employee-Attrition-Analysis
Built a model using XGBoost that predicts the chances of Attrition of an employee working at IBM with 84% Precision.
attrition ibm-attrition xgboost imbalance-classification seaborn
Language:Jupyter Notebook 1
rheemaa-g / Credit-Card-Fraud-Detection
The following project aims at detecting the fraudulent credit card transactions while applying the various ML concepts right from Data Preparation, Feature Extraction, Model Validation, Hyper-param Tuning to Evaluation.
machinelearning-python sklearn-library classification cross-validation gridsearchcv imbalance-classification
Language:Jupyter Notebook 1
SmellyArmure / OC_DS_Project7_api_flask
Déploiement d'une API Flask du modèle de classification déployée sur Heroku (OpenClassrooms | Data Scientist | Projet 7)
api-requests flask-api imbalance-classification lgbmclassifier model-deployment python python-script shap
Language:Python 1
girish004 / Data-Science-Playground
Introductory code snippets which deals with the basics of data science and machine learning which you can rely on anytime
machine-learning data-science pandas numpy python jupyter-notebook anaconda sklearn pip scratch scratch-implementation perceptron perceptron-learning-algorithm imbalanced-data imbalance-classification linea
Language:Jupyter Notebook 0
josecruzado21 / credit_card_fraud_detection
This project is about detecting fraudulent credit card transactions. The dataset tends to be highly imbalanced, with less than 0.2% of the observations labelled as fraudulent. To address this issue we have to take into account the bank's objective (maximizing precision or recall) and restrictions. The performance and efficiency of many classification algorithms (Logistic Regression, XGBoost, Random Forests) were tested and compared.
imbalance-classification logistic-regression svm-classifier xgboost-algorithm recall precision
Language:Jupyter Notebook 0
OdedMous / Imbalanced-Dataset
Develop a neural network model which classify cars, trucks and cats, while dealing with imbalanced dataset. In addition, generate an adversarial image that designed to deceive the trained model.
adversarial-attacks imbalance-classification neural-networks
Language:Python 0
Owerre / anomaly-detection
Anomaly detection using unsupervised, semi-supervised, and supervised machine learning methods
unsupervised-learning semi-supervised-learning supervised-learning imbalanced-learning imbalance-classification
Language:Jupyter Notebook 0
Ransomk / Capstone-Data-Science-Course-Project
This was a comprehensive project completed as part of the Data Science PG Programme. This covers classification algorithms over a dataset collected on health/diagnostic variables to predict of a person has diabetes or not based on the data points. Apart from extensive EDA to understand the distribution and other aspects of the data. Pre-processing was done to identify data which was missing or did not make sense within certain columns and imputation techniques were deployed to treat missing values. For classification the balance of classes was also reviewed and treated using SMOTE. Finally models were built and compared for accuracy on various metrics.Lastly the project contains a dashboard on the original data using Tableau
machine-learning data-science classification random-forest random-forest-classifier xgboost-classifier knn-classification smote-sampling imbalance-classification exploratory-data-analysis tableau visualization
Language:Jupyter Notebook 0
WithDD97 / Loan-Approval-
Classification Ml problem. The goal of this project is to build a model that borrowers can use to help make the best financial decisions.(Customer will experience financial delincy in the next two years))
deep-neural-networks imbalance-classification sklearn xgboost gridsearchcv supervised-learning
0
Kiminjo / LFWkNN
Local Feature Weight kNN combined Local kNN and Feature weighted kNN.
classification imbalance-classification k-nearest-neighbors machine-learning
Language:Jupyter Notebook
marizombie / f1-score-vs-accuracy
This notebook shows how the f1 metric differs accuracy on imbalanced data. The heart disease dataset from kaggle is used (https://www.kaggle.com/datasets/kamilpytlak/personal-key-indicators-of-heart-disease).
accuracy accuracy-metrics comparison f1-score f1score imbalance-classification imbalanced-data logistic-regression
Language:Jupyter Notebook
nandinib1999 / credit-card-fraud-detection
Using the Kaggle dataset of credit card fraud detection, I have applied the techniques of both undersampling (with Autoencoders) and oversampling (SMOTE) to predict the credit card default.
fraud-detection autoencoder scikit-learn smote imbalance-classification
Language:Jupyter Notebook
vmieres / Machine-Learning
This repo is about Machine Learning and Classification
artificial-intelligence classification-report cluster-centroids credit-risk ensemble-classifier ensemble-machine-learning evaluating-models imbalance-classification logistic-regression machine-learning naive-random-oversampler oversampling resampling sklearn-classify sklearn-library smoteenn undersampling
Language:Jupyter Notebook

imbalance-classification

ZhiningLiu1998 / self-paced-ensemble

ZhiningLiu1998 / mesa

balanced-fl / Addressing-Class-Imbalance-FL

GZWQ / Awesome-Long-Tailed

jiequancui / ResLT

YijinHuang / pytorch-classification

farhantandia / Tricks-for-Handling-Imbalanced-Dataset-Image-Classification

lvyilin / DGC

baguspurnama98 / BM-FKNCN

mrinal1704 / Credit-Card-Transaction-Fraud-Detection-using-Supervised-Machine-learning-with-an-Imbalanced-dataset

HaoWeiHe / Multi-label-classification

rodolfomp123 / imb-mulan

chenzhivis / Analysis-and-Classification-of-Restaurant-Reviews

iamdanialkamali / ImbalancedLittleData

m0h1t98 / Credit_Card_Fraud

saminens / Predicting-Bankruptcy-of-firms

spapicchio / Gamma-Telescope-Analysis

CRDK1009 / Exploring-Planets

devinaa1604 / Credit_Risk_Analysis_Using_Classification

MLOPTPSU / Targeted-Meta-Learning

mmkamani7 / Targeted-Meta-Learning

mquinlan0824 / Computer-Vision-Master-Thesis-Project

Patil-Sahil / AmExpert-2019-ML-Hackathon

pranaysingh25 / IBM-Employee-Attrition-Analysis

rheemaa-g / Credit-Card-Fraud-Detection

SmellyArmure / OC_DS_Project7_api_flask

girish004 / Data-Science-Playground

josecruzado21 / credit_card_fraud_detection

OdedMous / Imbalanced-Dataset

Owerre / anomaly-detection

Ransomk / Capstone-Data-Science-Course-Project

WithDD97 / Loan-Approval-

Kiminjo / LFWkNN

marizombie / f1-score-vs-accuracy

nandinib1999 / credit-card-fraud-detection

vmieres / Machine-Learning