# jayleicn/TVQA

<https://repo.masters-masters.com/en/repos/jayleicn/TVQA>

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

jayleicn/TVQA has 182 stars on GitHub. Its RepoMasters card: Prototype tier. \[EMNLP 2018\] PyTorch code for TVQA: Localized, Compositional Video Question…

| Field | Value |
| --- | --- |
| Owner | [jayleicn](https://repo.masters-masters.com/en/owners/jayleicn) |
| Stars | 182 |
| Forks | 33 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2018 |
| Topics | dataset, tvqa, videoqa, pytorch |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [jayleicn/TVQA](https://github.com/jayleicn/TVQA) |

## Repository

\[EMNLP 2018\] PyTorch code for TVQA: Localized, Compositional Video Question Answering

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.