OFA (Open-domain Feature-based Architecture) is an open-source, unified sequence-to-sequence learning framework developed by Open-domain Feature-based Architecture System (OFA-Sys). 

It was released in ICML 2022[1]. 

OFA is designed to unify modalities and tasks such as:

o image captioning

o VQA, visual grounding

o text-to-image generation

o text classification

o text generation

o image classification


It provides step-by-step instructions for pretraining and finetuning with checkpoints available from both official repository and Hugging Face. [2] 

OFA also provides online demos for interactive experience with its pretrained and finetuned models. [3] 

Furthermore, it offers Colab notebooks to understand the procedures better. OFA is even more powerful with the release of MuE (Multi-modal Embeddings) which accelerates OFA with little performance degradation. [1] 

It also provides OFA-OCR for Chinese text recognition [1] and MMSpeech, an ASR pre-training method based on OFA. [1] 

Moreover, a Chinese version of OFA is released. [1]


References:

[1] https://github.com/OFA-Sys/OFA

[2] https://github.com/OFA-Sys

[3] https://github.com/OFA-Sys/OFA/blob/main/colab.md