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LADDER

LADDER  is a machine learning tool designed for hierarchical and interpretable representation learning. It employs a ladder-like architecture to capture and disentangle features across multiple abstraction levels, enhancing the model’s ability to understand and learn complex relationships in data. The tool is particularly useful for tasks requiring robust feature extraction and transparent decision-making processes.

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