An implementation to a kernel based co-agreement algorithm
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Updated
Oct 13, 2015 - Python
An implementation to a kernel based co-agreement algorithm
Flyweight data mining with R
ICML 2013. Semi-supervised classifier with squared-loss mutual information regularization
Partial Label Learning based on GMM
Semi-supervised Ranked Keyphrase Extractor
Auxiliary Classifier Generative Adversarial Network in Torch7
Semi-Automated Spike Sorting in Matlab, Various Techniques
Semi-supervised learning frameworks for python, which allow fitting scikit-learn classifiers to partially labeled data
Using DCGANs to learn useful representations during the adversarial training process and using the learned features to classify images with relatively little training data
TensorFlow implementation for "Guided Optical Flow Learning"
A library for learning classifiers only with positive and unlabeled data. Adheres to the scikit-learn API
Educational research project
JCLAL is a general purpose framework developed in Java for Active Learning.
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Implementation of Ladder Network in PyTorch.
Cross-Domain Kernel Induction for Transfer Learning
Semi-Supervised Learning with Categorical VAE (experimented on MNIST)
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