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Learning is always on the way
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microsoft/ResearchStudio
microsoft/ResearchStudio PublicResearchStudio: Our AI co-author, from research problem to final publication.
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he-y/Awesome-Pruning
he-y/Awesome-Pruning PublicA curated list of neural network pruning resources.
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Unifying-Dataset-Pruning-and-Distillation
Unifying-Dataset-Pruning-and-Distillation PublicOfficial PyTorch implementation of "Rethinking Large-scale Dataset Compression: Shifting Focus From Labels to Images"
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he-y/Multisize-Dataset-Condensation
he-y/Multisize-Dataset-Condensation PublicOfficial PyTorch implementation of "Multisize Dataset Condensation" (ICLR'24 Oral)
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he-y/you-only-condense-once
he-y/you-only-condense-once PublicYou Only Condense Once: Two Rules for Pruning Condensed Datasets (NeurIPS 2023)
Python 16
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he-y/soft-label-pruning-quantization-for-dataset-distillation
he-y/soft-label-pruning-quantization-for-dataset-distillation Public[T-PAMI'26] Official Implementation for "Soft Label Pruning and Quantization for Large-Scale Dataset Distillation"
Python
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