# facebookresearch/fairseq

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32,228 stars · 6,678 forks · Python · MIT · archived

## Links

- GitHub: https://github.com/facebookresearch/fairseq
- awesome-repositories: https://awesome-repositories.com/repository/facebookresearch-fairseq.md

## Description

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

## Tags

### Part of an Awesome List

- [Cross-Modal Models](https://awesome-repositories.com/f/awesome-lists/ai/cross-modal-models.md) — Contrastive pre-training for zero-shot video-text understanding.
- [Dynamic Networks](https://awesome-repositories.com/f/awesome-lists/ai/dynamic-networks.md) — Lightweight and dynamic convolutions for sequence modeling.
- [Perception Models](https://awesome-repositories.com/f/awesome-lists/ai/perception-models.md) — Robustly optimized approach for BERT-style pre-training.
- [Training and Orchestration](https://awesome-repositories.com/f/awesome-lists/devops/training-and-orchestration.md) — Toolkit for training sequence modeling and generation tasks.