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Project Page | Paper
The main features of ssnl/dataset-distillation are: Foundational Research.
Projects with overlapping indexed features include: andyj1/mdm — Official implementation of Multimodal Distribution Matching for Vision-Language Dataset Distillation, a method for… becarefulofyournaoke/bps — This repo contains PyTorch implementation of Balanced Dataset Distillation via Modeling Multiple Visual Pattern… hips/hypergrad — Source code for http://arxiv.org/abs/1502.03492. sindresorhus/awesome — This project is a community-maintained directory that serves as a comprehensive index of software tools, frameworks,…
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.
This repo contains PyTorch implementation of Balanced Dataset Distillation via Modeling Multiple Visual Pattern Distribution (BPS, CVPR 2026). BPS produces a pattern-balanced condensed dataset via modeling the multiple visual pattern distribution within each class. This repo contains code for…
This project is a community-maintained directory that serves as a comprehensive index of software tools, frameworks, and educational materials. It functions as an open-source knowledge base, organizing diverse engineering domains and technical resources into a structured taxonomy to assist developers in discovering high-quality content. The directory distinguishes itself through a decentralized peer-review model, where independent contributors curate, verify, and update entries to ensure accuracy and relevance. All information is stored in a version-controlled, flat-file markdown format, whic