Normalising flows and meta learning
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Multi-agent learning sounds like a really fascinating area. Congrats on all the recent additions, lots of quality content added in the reinforcement learning area.
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multi class, multi label text classification.
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More regression examples
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Prediction of anomaly for timeseries using an autoencoder after the anomaly detection code sample you have up there. It would be helpful to add which features cause the anomaly for multivariate data along with a confidence interval for the anomaly prediction.
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3 dimensional deep learning. CT scans for example
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Machine learning interpretability in Language models ( Visualizing Attention weights )
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Ct scans, especially brain imaging classification
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examples of workflow for highly imbalanced datasets.
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