# alibaba-mmai-research/TAdaConv

<https://repo.masters-masters.com/en/repos/alibaba-mmai-research/TAdaConv>

[Home](https://repo.masters-masters.com/en) › [alibaba-mmai-research](https://repo.masters-masters.com/en/owners/alibaba-mmai-research) › [TAdaConv](https://repo.masters-masters.com/en/repos/alibaba-mmai-research/TAdaConv)

alibaba-mmai-research/TAdaConv has 248 stars on GitHub. Its RepoMasters card: Prototype tier. \[ICLR 2022\] TAda\! Temporally-Adaptive Convolutions for Video…

| Field | Value |
| --- | --- |
| Owner | [alibaba-mmai-research](https://repo.masters-masters.com/en/owners/alibaba-mmai-research) |
| Stars | 248 |
| Forks | 33 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2021 |
| Topics | action-recognition, pytorch, action-localization, video-understanding, video-classification, self-supervised-learning, tadaconv |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [alibaba-mmai-research/TAdaConv](https://github.com/alibaba-mmai-research/TAdaConv) |

## Repository

\[ICLR 2022\] TAda\! Temporally-Adaptive Convolutions for Video Understanding. This codebase provides solutions for video classification, video representation learning and temporal detection.

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.