# zhang-can/ECO-pytorch

<https://repo.masters-masters.com/en/repos/zhang-can/ECO-pytorch>

[Home](https://repo.masters-masters.com/en) › [zhang-can](https://repo.masters-masters.com/en/owners/zhang-can) › [ECO-pytorch](https://repo.masters-masters.com/en/repos/zhang-can/ECO-pytorch)

zhang-can/ECO-pytorch has 189 stars on GitHub. Its RepoMasters card: Prototype tier. PyTorch implementation for "ECO: Efficient Convolutional Network for…

| Field | Value |
| --- | --- |
| Owner | [zhang-can](https://repo.masters-masters.com/en/owners/zhang-can) |
| Stars | 189 |
| Forks | 93 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | BSD-2-Clause |
| Created | 2018 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [zhang-can/ECO-pytorch](https://github.com/zhang-can/ECO-pytorch) |

## Repository

PyTorch implementation for "ECO: Efficient Convolutional Network for Online Video Understanding", ECCV 2018

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.