michaelchiucw's repositories
DiversityPool
The implementation of the Diversity Pool algorithm, proposed in the paper "Diversity-Based Pool of Models for Dealing with Recurring Concepts" and presented at IJCNN '18
imbalanced-stream-generator
MOA compatible imbalanced data stream generator, as described in "The impact of data difficulty factors on classification of imbalanced and concept drifting data streams".
moa
MOA is an open source framework for Big Data stream mining. It includes a collection of machine learning algorithms (classification, regression, clustering, outlier detection, concept drift detection and recommender systems) and tools for evaluation.
river
🌊 Online machine learning in Python
stream-learn
The stream-learn is an open-source Python library for difficult data stream analysis.
UOB-OOB-MultiClass
The multi-class version of Oversampling and Undersampling Online Bagging for class imbalanced data stream learning. It can be applied both to multi-class and binary classification problems.