GitHub / Abdelrahman-Amen / Active_Learning_with_different_Query_Strategies

This project explores the implementation of active learning techniques, focusing on various query strategies to optimize the selection of informative data points for model training. It aims to reduce the amount of labeled data required while improving model performance, especially in scenarios with limited labeled data.

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Topics: activelearning, cuda, entropy, kldivergence, margin, numpy, python, pyto, uncertainty

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