MMF is a modular framework for building and testing multimodal AI models using PyTorch, supporting research in vision and language tasks.
Build multimodal AI models with PyTorch
MMF is a flexible framework designed for researchers and developers interested in multimodal AI, especially those working with both vision and language data. Powered by PyTorch and developed by Facebook AI Research, it offers a modular approach to building, training, and evaluating advanced AI models.
On the site, you’ll find comprehensive documentation, API references, and links to the GitHub repository, making it easy to get started or contribute. Whether you’re exploring new research ideas or developing practical AI solutions, MMF provides the tools and resources to experiment with state-of-the-art multimodal tasks.
If you’re looking to advance your work in AI that understands both images and text, MMF is a valuable platform to help you prototype, test, and share your models efficiently.
Discover websites similar to Mmf.sh. Optimized for ultra-fast loading.
Ray is an open source platform to build, scale, and manage machine learning and Python applications with easy-to-use tools and libraries.
mlr3 is an R package for efficient, object-oriented machine learning, offering scalable tools for tasks, learners, and data handling in R.
Apache TVM is an open-source machine learning compiler framework that helps you deploy models efficiently on CPUs, GPUs, and specialized accelerators.
Metaflow is an open-source framework that helps you easily build, manage, and scale real-life machine learning and data science projects.
Chainer offers a flexible, intuitive platform for building and training neural networks, making it easy to develop and experiment with deep learning models.
Explore Gymnasium's Python API and reference environments for building, testing, and benchmarking reinforcement learning algorithms in one place.
LangChain helps you build applications using large language models, offering tools, guides, and integrations for streamlined AI development.
PyG is a Python library for building and training graph neural networks, offering tools, tutorials, and a community for developers and researchers.
Ollama lets you run and experiment with large language models on your own device, making it easy to download, try, and integrate AI models locally.
Apache OpenNLP is an open-source toolkit for building machine learning-based natural language processing solutions in Java.
Discover tools and services similar to mmf.sh
Explore related tools and services in these categories