# subho406/OmniNet

<https://repo.masters-masters.com/en/repos/subho406/OmniNet>

[Home](https://repo.masters-masters.com/en) › [subho406](https://repo.masters-masters.com/en/owners/subho406) › [OmniNet](https://repo.masters-masters.com/en/repos/subho406/OmniNet)

subho406/OmniNet has 515 stars on GitHub. Its RepoMasters card: Alpha tier. Official Pytorch implementation of "OmniNet: A unified architecture for…

| Field | Value |
| --- | --- |
| Owner | [subho406](https://repo.masters-masters.com/en/owners/subho406) |
| Stars | 515 |
| Forks | 58 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2019 |
| Topics | machine-learning, deep-learning, neural-network, artificial-intelligence, transformer, nlp, image-captioning, video-recognition, multitask-learning, multimodal-learning |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [subho406/OmniNet](https://github.com/subho406/OmniNet) |

## Repository

Official Pytorch implementation of "OmniNet: A unified architecture for multi-modal multi-task learning" \| Authors: Subhojeet Pramanik, Priyanka Agrawal, Aman Hussain

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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