irwenqiang/NNForMLL
Neural Network Models for Multi-label learning
Deep Learning Tutorial notes and code. See the wiki for more info.
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Neural Network Models for Multi-label learning
Feature Selection for Multi-label datasets
The MultiBoost package is a multi-class / multi-label / multi-task classification boosting software implemented in C++.
An implementation of Caruana et al's Ensemble Selection algorithm in Python, based on scikit-learn