# RangiLyu/EfficientNet-Lite

<https://repo.masters-masters.com/en/repos/RangiLyu/EfficientNet-Lite>

[Home](https://repo.masters-masters.com/en) › [RangiLyu](https://repo.masters-masters.com/en/owners/RangiLyu) › [EfficientNet-Lite](https://repo.masters-masters.com/en/repos/RangiLyu/EfficientNet-Lite)

RangiLyu/EfficientNet-Lite has 123 stars on GitHub. Its RepoMasters card: Prototype tier. Pytorch implementation of EfficientNet-lite. ImageNet pre-trained…

| Field | Value |
| --- | --- |
| Owner | [RangiLyu](https://repo.masters-masters.com/en/owners/RangiLyu) |
| Stars | 123 |
| Forks | 26 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2020 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [RangiLyu/EfficientNet-Lite](https://github.com/RangiLyu/EfficientNet-Lite) |

## Repository

Pytorch implementation of EfficientNet-lite. ImageNet pre-trained models are provided.

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

## More repos by RangiLyu

- [RangiLyu/nanodet · ★ 6,275 · Python · Stable](https://repo.masters-masters.com/en/repos/RangiLyu/nanodet)

## Nearby in Python

- [lillyguisnet/sam3-segmentation · ★ 123 · Python · Prototype](https://repo.masters-masters.com/en/repos/lillyguisnet/sam3-segmentation)
- [xx20050823xx/McMate · ★ 123 · Python · Prototype](https://repo.masters-masters.com/en/repos/xx20050823xx/McMate)
- [Aevonix/FlashAlign · ★ 123 · Python · Prototype](https://repo.masters-masters.com/en/repos/Aevonix/FlashAlign)
- [zhaque/django-saas-kit · ★ 123 · Python · Prototype](https://repo.masters-masters.com/en/repos/zhaque/django-saas-kit)
- [jtauber/sebastian · ★ 123 · Python · Prototype](https://repo.masters-masters.com/en/repos/jtauber/sebastian)
- [toddlipcon/gremlins · ★ 123 · Python · Prototype](https://repo.masters-masters.com/en/repos/toddlipcon/gremlins)

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