LocalSR
The project I’ve worked on the most, a super-resolution desktop app for running image upscaling inference locally on your own hardware.
LocalSR started out of necessity. For a long time I upscaled pictures with the HAT-L models, but only through the terminal. At some point I wanted a proper app for it, and most of what I found was subscription-based, really complicated or outdated. So the decision was clear. With the help of Claude and a clear idea of what I wanted, I built a super-resolution app that puts research-level models in one place and runs them on your own computer. The results are impressive, but they are not my work. My work is making these niche but incredible models a lot more accessible. They are meant to be used anyway: every model the app downloads is published under an open licence (Apache-2.0, BSD-3-Clause, MIT or CC BY 4.0 at the moment), and the app shows you each licence before it downloads anything.
LocalSR also has a built-in benchmark. It times a real upscaling model on fixed test images, through the same inference engine the app uses for your own files, and reports how many megapixels per second your CPU or GPU can upscale. Local AI benchmarks can be hard to grasp, so it’s good to have one built around a real use case.