# VILA-Lab/SRe2L

<https://repo.masters-masters.com/en/repos/VILA-Lab/SRe2L>

[Home](https://repo.masters-masters.com/en) › [VILA-Lab](https://repo.masters-masters.com/en/owners/VILA-Lab) › [SRe2L](https://repo.masters-masters.com/en/repos/VILA-Lab/SRe2L)

VILA-Lab/SRe2L has 142 stars on GitHub. Its RepoMasters card: Prototype tier. (NeurIPS 2023 spotlight) Large-scale Dataset Distillation/Condensation, 50 IPC…

| Field | Value |
| --- | --- |
| Owner | [VILA-Lab](https://repo.masters-masters.com/en/owners/VILA-Lab) |
| Stars | 142 |
| Forks | 24 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2023 |
| Topics | dataset-condensation, dataset-distillation, image-synthesis |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [VILA-Lab/SRe2L](https://github.com/VILA-Lab/SRe2L) |

## Repository

(NeurIPS 2023 spotlight) Large-scale Dataset Distillation/Condensation, 50 IPC (Images Per Class) achieves the highest 60.8% on original ImageNet-1K val set.

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.