weighted-random-sampling

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SurajBhar / masterarbeit_sb

Improved Driver Distraction Detection Using Self-Supervised Learning

transfer-learning imbalanced-data dino supervised-machine-learning unsupervised-machine-learning self-supervised-learning hdbscan-clustering-algorithm vision-transformer dinov2 weighted-random-sampling

Updated Sep 26, 2024
Jupyter Notebook

ori88c / non-replacement-weighted-random-item-sampler

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A weighted random item sampler (selector), where the probability of selecting an item is proportional to its weight, and every item is sampled exactly once (without repetition or replacement). The sampling method utilizes a binary-search optimization, making it suitable for performance-demanding applications where the set of items is large.

Updated Oct 26, 2024
TypeScript

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