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Run ` conda env create -f requirements.yaml and activate the conda environment conda activate covmatch `
The main features of yongalls/covmatch are: Multimodal Distillation.
Projects with overlapping indexed features include: andyj1/mdm — Official implementation of Multimodal Distribution Matching for Vision-Language Dataset Distillation, a method for… ichbill/edge — 🚧 This repository is under construction 🚧. junhyeok9712/pds — Official PyTorch implementation of the ICLR 2026 paper: "Multimodal dataset distillation made simple by… previsior/ptm-st — Multimodal Dataset Distillation via Phased Teacher Models. sakshamsingh1/avdd — This repository includes code for : Audio Visual Dataset Distillation (TMLR 2024).
Official implementation of Multimodal Distribution Matching for Vision-Language Dataset Distillation, a method for condensing a large vision-language dataset into smaller synthetic sets while preserving its downstream performance.
Official PyTorch implementation of the ICLR 2026 paper: "Multimodal dataset distillation made simple by prototype-guided data synthesis"
