# snap-research/EfficientFormer

<https://repo.masters-masters.com/en/repos/snap-research/EfficientFormer>

[Home](https://repo.masters-masters.com/en) › [snap-research](https://repo.masters-masters.com/en/owners/snap-research) › [EfficientFormer](https://repo.masters-masters.com/en/repos/snap-research/EfficientFormer)

snap-research/EfficientFormer has 1,121 stars on GitHub. Its RepoMasters card: Beta tier. EfficientFormerV2 \[ICCV 2023\] & EfficientFormer \[NeurIPs 2022\]

| Field | Value |
| --- | --- |
| Owner | [snap-research](https://repo.masters-masters.com/en/owners/snap-research) |
| Stars | 1,121 |
| Forks | 95 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2022 |
| Topics | deep-learning, detection, efficient-inference, efficient-neural-networks, pytorch, semantic-segmentation, transformer, imagenet, transformers, mobile-devices |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [snap-research/EfficientFormer](https://github.com/snap-research/EfficientFormer) |

## Repository

EfficientFormerV2 \[ICCV 2023\] & EfficientFormer \[NeurIPs 2022\]

The tier for repos with 700 to 1,999 ★. Published odds per card pulled: 6%. Rarity: Rare.

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Data: GitHub · Illustration: the project’s public image, pixelated by RepoMasters.