Official PyTorch implementation of the paper "Dataset Distillation with Neural Characteristic Function: A Minmax Perspective" (NCFM) in CVPR 2025 (Full Score, Highlight).
Condense large datasets into smaller, efficient versions for training AI models using a specific method outlined in a research paper.
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Free · no card · unsubscribe anytimeOfficial PyTorch implementation of the paper "Dataset Distillation with Neural Characteristic Function: A Minmax Perspective" (NCFM) in CVPR 2025 (Full Score, Highlight).
NCFM has 414 stars on GitHub. It has been forked 31 times. NCFM is written mainly in Python. It has been in active development since 2025. Its main topics are computer-vision, data-centric-ai, dataset-distillation, synthetic-data.
Official PyTorch implementation of the paper "Dataset Distillation with Neural Characteristic Function: A Minmax Perspective" (NCFM) in CVPR 2025 (Full Score, Highlight).
NCFM is an open-source project.
Yes. NCFM is free and open source — you can use, modify and self-host it.
NCFM is written mainly in Python.
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