PyTorch官方实现了CVPR 2025中论文《带神经特征函数的数据集蒸馏:极小极大视角》(NCFM)(全分,重点)。

dataset-distillation 开源项目推荐(28 个)
dataset-distillation 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 28 个仓库[IJCAI 2024] Papers about graph reduction including graph coarsening, graph condensation, graph sparsification, graph summarization, etc.
[ICLR'22][KDD'22][IJCAI'24][NeurIPS'25] Implementation of "Graph Condensation for Graph Neural Networks"
(NeurIPS 2023 spotlight) Large-scale Dataset Distillation/Condensation, 50 IPC (Images Per Class) achieves the highest 60.8% on original ImageNet-1K val set.
Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)
ICLR 2024, Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching
Official PyTorch implementation of the paper "Dataset Distillation via the Wasserstein Metric" (ICCV 2025).
Awesome Graph Condensation Papers, [TKDE 25] Graph Condensation: A Survey.
Official PyTorch Implementation for the "Distilling Datasets Into Less Than One Image" paper.
Code for Backdoor Attacks Against Dataset Distillation
[ICLR 2026] Optimization-free Dataset Distillation for Object Detection. Paper at: https://arxiv.org/abs/2506.01942
(CVPR 2025) Official implementation to DELT: A Simple Diversity-driven EarlyLate Training for Dataset Distillation which outperforms SOTA top 1-acc by +1.3% and increases diversity per class by +5%
[ICLR 2024] "Data Distillation Can Be Like Vodka: Distilling More Times For Better Quality" by Xuxi Chen*, Yu Yang*, Zhangyang Wang, Baharan Mirzasoleiman
(Pattern Recognition 2025) Towards Trustworthy Dataset Distillation
Fast and Accurate Data Residual Matching for Dataset Distillation (Neurips 2025)
An Efficient Dataset Condensation Plugin and Its Application to Continual Learning. NeurIPS, 2023.
Dataset Distillation on 3D Point Clouds using Gradient Matching
Official PyTorch implementation of the paper "Towards Adversarially Robust Dataset Distillation by Curvature Regularization" (AAAI 2025).
[EMNLP'26 Findings] Official Implementation of "TaLK: Text-attributed Graph Dataset Distillation via Coupling Language Model with Graph-Aware Kernel"
Hard Labels In! Rethinking the Role of Hard Labels in Mitigating Local Semantic Drift (ICML 2026)
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/dataset-distillation。
- 该话题在 GitHub 上共有 28 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 1450 Star,覆盖 1 种主要语言,数据更新于 2026-11-10。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。