We’re committed to accelerating scientific progress for the benefit of society. One way we do this is through releasing open source materials, to contribute to the AI community’s culture of collaboration and shared progress.
Along with publishing papers to accompany research conducted at DeepMind, we release open source environments, data sets, and code to enable the broader research community to engage with our work and build upon it. For example, you can build on our implementations of the Deep Q-Network or Differential Neural Computer, or experiment in the same environments we use for our research, such as DeepMind Lab or StarCraft II.
Our open source contributions can be viewed on our site and on GitHub.
If you enjoy building tools, environments, software libraries, and other infrastructure of the kind listed below, you can view open positions to work in related areas on our careers page.