tabnetics is an open-source Python toolkit designed for tabular data learning, especially in high-dimensional, low-sample-size (HDLSS) scenarios. It provides distribution-aware preprocessing, portfolio feature selection, and game-theoretic method aggregation for researchers and data scientists.
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