AI/ML Research Framework
5.6k 2026-05-01
facebookresearch/mmf
A modular and scalable PyTorch-based framework for state-of-the-art vision and language multimodal research from Facebook AI Research.
Core Features
Modular design for flexible vision and language research.
Includes reference implementations of state-of-the-art multimodal models.
Supports distributed training for large-scale experiments.
Serves as a starter codebase for vision and language challenges.
Detailed Introduction
MMF (Multimodal Framework) is a robust, modular, and scalable framework developed by Facebook AI Research (FAIR) for advancing vision and language multimodal research. Built on PyTorch, it provides researchers with a powerful toolkit to bootstrap new projects, offering reference implementations of cutting-edge models and supporting distributed training. MMF is designed to be un-opinionated and fast, making it an ideal foundation for exploring complex interactions between visual and linguistic data, and has been used in various research projects and challenges.