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A curated list of awesome imbalanced learning papers, codes, frameworks, and libraries. | 类别不平衡学习:论文、代码、框架与库
Data Preprocessing Project - Imbalanced classes problem
Recreation of "Deep Learning for Just-In-Time Defect Prediction"
experimental data and code
Identifying the best algorithm for defect prediction in softwares and providing the most accurate results. The Metrics Data Program dataset provided by NASA has been used.
Fraud Detection with or without Oversampling
Master's thesis: an application of Generative Adversarial Network to imbalanced datasets.
Quick notebook to refer to different ways to handle imbalanced datasets.
Python-based implementations of algorithms for learning on imbalanced data.
Examples of algorithms dealing with imbalanced data.
A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.
Imbalanced learning for software defect prediction
Localized Randomized Affine Shadowsampling (LoRAS) oversampling technique
This is my assignment on Andrew Ng's course “neural networks and deep learning”
Defects in a computer program are predicted using ANN and Dimensionality Reduction Technique like PCA and then training a classifier hence comparing both the techniques.
Repository for "Software Defect Prediction Using Tree-based Ensembles" published in 16th ACM International Conference on Predictive Modeling in Software Engineering (PROMISE 20)
A collection of 85 minority oversampling techniques (SMOTE) for imbalanced learning with multi-class oversampling and model selection features
Application of Deep Learning and Feature Extraction in Software Defect Prediction
Software defect prediction using recurrent neural network and convolutional neural network
Software defect prediction using ensemble learning
we proposed a software defect predictive development models using machine learning techniques that can enable the software to continue its projected task.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.