Popular GitHub Repositories for Oversampling

? ? Multidimensional synthetic data generation with Copula and fPCA models in Python

Classification and Gradient-based Localization of Chest Radiographs using PyTorch.

The aim of this project is to predict fraudulent credit card transactions with the help of different machine learning models.

Build a predictive machine learning model that could categorize users as either, revenue generating, and non-revenue generating based on their behavior while navigating a website. In order to predict the purchasing intention of the visitor, aggregated page view data kept track during the visit along with some session is used and user information as input to machine learning algorithms. Oversampling/Undersampling and feature selection techniques are applied to improve the success rates and scalability of the models.

osman: OverSampling by Deep Generative Models A pip package which oversamples class imbalance binary data by Deep Generative Models.

This project is a part of the research on PolyCystic Ovary Syndrome Diagnosis using patient history datasets through statistical feature selection and multiple machine learning strategies. The aim of this project was to identify the best possible features that strongly classifies PCOS in patients of different age and conditions.

This notebook tries to make fraud/not fraud predictions on a transactions dataset with highly imbalanced data.

Multinomial classification tasks in Reddit

The implementation of Synthetic Minority Oversampling based on stream Clustering (SMOClust)

Generative based data augmentation for ACPs

This repository contains the code, documentation, and datasets for a comprehensive exploration of machine learning techniques to address class imbalance. The project investigates the impact of various methods, like ADASYN, KMeansSMOTE, and Deep Learning Generator, on classification performance while effectively demonstrating benefits of pipelining.

Diabetic Retinopathy Prediction - Deep Learning Models

A machine learning project developing classification models to predict COVID-19 diagnosis in paediatric patients.

Brain tumour detector built with YOLOv8 model.

In this project, we build and train a model to predict if a customer will defer on a particular loan on an imbalanced dataset. We'll build a layered ANN for this and try to make our model better using Hyperparamater Optimization, before exploring Oversampling to make it more accurate.

Addressing Class Imbalance in CIC-IDS-18. Improve intrusion detection accuracy and reduce false alarms by tackling class imbalance. Utilizing artificial oversampling techniques and comparing their efficacy with deep neural network algorithms.Tech: Python, Jupyter-Notebook, Scik