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A Python library for outlier, adversarial, and drift detection in machine learning models, supporting tabular, text, image, and time series data.
A benchmark for evaluating protein language models through five biologically relevant semi-supervised learning tasks.
A Keras implementation of Ladder Networks for semi-supervised learning, achieving 98% accuracy on MNIST with only 100 labeled examples.
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