# OFA-Sys/OFA

<https://repo.masters-masters.com/en/repos/OFA-Sys/OFA>

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

OFA-Sys/OFA has 2,553 stars on GitHub. Its RepoMasters card: RC tier. Official repository of OFA (ICML 2022). Paper: OFA: Unifying Architectures, Tasks, and…

| Field | Value |
| --- | --- |
| Owner | [OFA-Sys](https://repo.masters-masters.com/en/owners/OFA-Sys) |
| Stars | 2,553 |
| Forks | 250 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2022 |
| Topics | multimodal, pretraining, image-captioning, text-to-image-synthesis, visual-question-answering, referring-expression-comprehension, vision-language, pretrained-models, prompt, prompt-tuning |
| Tier | [RC (2,000 to 4,999 ★)](https://repo.masters-masters.com/en/ranks/blockbuster) |
| View on GitHub | [OFA-Sys/OFA](https://github.com/OFA-Sys/OFA) |

## Repository

Official repository of OFA (ICML 2022). Paper: OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework

The tier for repos with 2,000 to 4,999 ★. Published odds per card pulled: 3%. Rarity: Epic.

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Data: GitHub · Illustration: the project’s public image, pixelated by RepoMasters.