February 4, 2021

497 words 3 mins read



VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.

repo name facebookresearch/vissl
repo link https://github.com/facebookresearch/vissl
homepage https://vissl.ai
language Jupyter Notebook
size (curr.) 8466 kB
stars (curr.) 378
created 2020-04-09
license Other

CircleCIPRs Welcome


VISSL is a computer VIsion library for state-of-the-art Self-Supervised Learning research with PyTorch. VISSL aims to accelerate research cycle in self-supervised learning: from designing a new self-supervised task to evaluating the learned representations. Key features include:



Getting Started

Install VISSL by following the installation instructions. After installation, please see Getting Started with VISSL and the Colab Notebook to learn about basic usage.


Learn more about VISSL at our documentation. And see the projects/ for some projects built on top of VISSL.


Get started with VISSL by trying one of the Colab tutorial notebooks.

Model Zoo and Baselines

We provide a large set of baseline results and trained models available for download in the VISSL Model Zoo.


VISSL is written and maintained by the Facebook AI Research.


We welcome new contributions to VISSL and we will be actively maintaining this library! Please refer to CONTRIBUTING.md for full instructions on how to run the code, tests and linter, and submit your pull requests.


VISSL is released under CC-NC 4.0 International license.

Citing VISSL

If you find VISSL useful in your research or wish to refer to the baseline results published in the Model Zoo, please use the following BibTeX entry.

  author =       {Priya Goyal and Benjamin Lefaudeux and Mannat Singh and Jeremy Reizenstein and Vinicius Reis and 
                  Min Xu and and Matthew Leavitt and Mathilde Caron and Piotr Bojanowski and Armand Joulin and 
                  Ishan Misra},
  title =        {VISSL},
  howpublished = {\url{https://github.com/facebookresearch/vissl}},
  year =         {2021}


Below we share, in reverse chronological order, the updates and new releases in VISSL. All VISSL releases are available here.

[January 2021]: VISSL v0.1 released.

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