Nvidia cards are supported with the proprietary drivers; the game I play (Stepmania, OutFox) historically was without artifacts on nvidia systems. Nowadays, Wayland is moving forward, and nvidia is just behind on supporting it compared to AMD. According to this thread below you should be fine as long as you use nvidia drivers from version 560+.

https://www.reddit.com/r/linux/comments/1d5kwpu/wayland_on_nvidia_do_they_play_well_together/

Celine slams Trump? Will her heart go on? OMG I can finally share this in a relevant way lmao

https://m.youtube.com/watch?v=BwBK2xkjaSU&pp=ygUdTXkgaGVhcnQgd2lsbCBzbGFtIHRoZSBqYW0gb24%3D

The lack of CarPlay/Android Auto makes Tesla a non-starter

https://lemmy.world/comment/3186116

This application of deep learning would apply to music suitable for playing DDR/ITG/Stepmania/Stepmaniax/PIU etc.; essentially music gaming:

Most music that would be reasonably fun to play falls within 110-240BPM and runs between 2.5 and 7 minutes long. At 110BPM, a song with a coded 110BPM, but a true BPM of 110.001 will drift by roughly 2ms. Music games are predicated on timing precision down to 15ms as a minimum. I, myself, hit notes within a rough range of 6ms at my best (and I’m barely top 100 in the world).

scorecard for reference

is there an open way to go about using deep learning? Is it something as accessible as cGPT?

DJ software is extremely inaccurate. It’s good for a rough estimate, but it can be wildly wrong at times.

The bigger problem is that shoes are supposed to help maintain a healthy overall confirmation. It’s really hard to do that over a period of years because you’ll wear your shoes in and essentially lose the supportive aspects you get from a new shoe. As a rule of thumb, you should basically be buying new shoes every 6 months.