Skip to main content

mmf: a modular framework for vision and language multimodal research.

Project description

MMF

MMF is a modular framework for vision and language multimodal research. Built on top of PyTorch, it features:

  • Multi-Tasking: Support for multi-tasking which allows training on multiple dataset together.
  • Datasets: Includes support for various datasets built-in including VQA, VizWiz, TextVQA, VisualDialog and COCO Captioning.
  • Modules: Provides implementations for many commonly used layers in vision and language domain
  • Distributed: Support for distributed training based on DataParallel as well as DistributedDataParallel.
  • Unopinionated: Unopinionated about the dataset and model implementations built on top of it.
  • Customization: Custom losses, metrics, scheduling, optimizers, tensorboard; suits all your custom needs.

You can use MMF to bootstrap for your next vision and language multimodal research project.

MMF can also act as starter codebase for challenges around vision and language datasets (TextVQA challenge, VQA challenge)

MMF Examples

Demo

  1. VQA.
  2. Captioning.

Documentation

Learn more about MMF here.

Citation

If you use MMF in your work, please cite:

@inproceedings{singh2018pythia,
  title={Pythia-a platform for vision \& language research},
  author={Singh, Amanpreet and Goswami, Vedanuj and Natarajan, Vivek and Jiang, Yu and Chen, Xinlei and Shah, Meet and Rohrbach, Marcus and Batra, Dhruv and Parikh, Devi},
  booktitle={SysML Workshop, NeurIPS},
  volume={2018},
  year={2018}
}

License

MMF is licensed under BSD license available in LICENSE file

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

mmf-0.9a1.tar.gz (173.0 kB view hashes)

Uploaded Source

Built Distributions

mmf-0.9a1-cp38-cp38-manylinux1_x86_64.whl (202.3 kB view hashes)

Uploaded CPython 3.8

mmf-0.9a1-cp37-cp37m-manylinux1_x86_64.whl (202.1 kB view hashes)

Uploaded CPython 3.7m

mmf-0.9a1-cp36-cp36m-manylinux1_x86_64.whl (202.1 kB view hashes)

Uploaded CPython 3.6m

mmf-0.9a1-cp35-cp35m-manylinux1_x86_64.whl (202.1 kB view hashes)

Uploaded CPython 3.5m

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page