# V2AI/EFG

<https://repo.masters-masters.com/en/repos/V2AI/EFG>

[Home](https://repo.masters-masters.com/en) › [V2AI](https://repo.masters-masters.com/en/owners/V2AI) › [EFG](https://repo.masters-masters.com/en/repos/V2AI/EFG)

V2AI/EFG has 131 stars on GitHub. Its RepoMasters card: Prototype tier. An Efficient, Flexible, and General deep learning framework that retains minimal.

| Field | Value |
| --- | --- |
| Owner | [V2AI](https://repo.masters-masters.com/en/owners/V2AI) |
| Stars | 131 |
| Forks | 13 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2022 |
| Topics | 3d-object-detection, detr, object-detection, pytorch, waymo-open-dataset, 3d-scene-understanding, nuscenes |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [V2AI/EFG](https://github.com/V2AI/EFG) |

## Repository

An Efficient, Flexible, and General deep learning framework that retains minimal.

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.