For the past decade, artificial Intelligence (AI) and machine learning (ML) have revolutionized numerous research fields and industries. The machine learning community has not left out software-defined Radio (SDR) and digital signal processing (DSP).

Thankfully, this development has not been done behind closed doors, and plenty of frameworks have been released by research laboratories and industry with an open-source license. To name a few (in no particular order): Sionna (https://github.com/NVlabs/sionna), Commplax (https://github.com/remifan/commplax), MOKka (https://github.com/kit-cel/mokka), scikit-learn & numpy, and maybe some more.

The goal of this talk is to give an overview of existing frameworks combining DSP and ML, and present a short tutorial on some aspects of what is already possible.