The artificial intelligence (AI), deep learning (DL) and machine learning (ML) space is changing rapidly, with new projects and companies launching, existing ones growing, expanding and consolidating. More companies are also releasing their internal AI, ML, DL efforts under open source licenses to leverage the power of collaborative development, benefit from the innovation multiplier effect of open source, and provide faster, more agile development and accelerated time to market.
To make sense of it all and keep up to date on an ongoing basis, the LF Deep Learning Foundation has created an interactive Deep Learning Landscape, based on the Cloud Native Landscape pioneered by CNCF. This landscape is intended as a map to explore open source AI, ML, DL projects. It also showcases the member companies of the LF Deep Learning Foundation who contribute contribute heavily to open source AI, ML and DL and bring in their own projects to be housed at the Foundation.
This tool allows viewers to filter, obtain detailed information on a specific project or technology, and easily share via stateful URLs. It is intended to help developers, end users and others navigate the complex AI, DL and ML landscape.
All data is also available in a GitHub repo, and anyone may update or add to the landscape by submitting a pull request on GitHub.
We encourage you to spend some time with this tool, learn more about the current AI, DL and ML space, and begin contributing to it.