Capability
Distributed Batch Sampling For Medical Imaging Model Training
6 artifacts provide this capability.
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via “trajectory-batch-sampling-for-training”
Dataset by nvidia. 3,34,635 downloads.
Unique: Implements curriculum learning and stratified sampling for 334K GR00T-X trajectories with native PyTorch DataLoader integration, enabling efficient distributed training without custom sampling code
vs others: More flexible than fixed-batch datasets because sampling strategy is configurable, and more efficient than random sampling because stratified and curriculum strategies reduce training variance