I have been building a PDF reader with dark mode that supports image properly with vimimum navigations. Been using it for the past few months and really happy with the result. Finally got around to publishing it here: https://github.com/moomou/xeil
I built a mac native PDF reader called Xeil with toggleable darkmode that preserves images (inspired by veil), vim keybinding and fuzzy search. Before this, I was using Skim with inverted color to simulate dark mode.
BTW I submitted your post to /r/LocalLLaMA. I expect it will see some good attention there. It seems to be the best community around (outside of various Discords I don't participate in) for people doing ML at home, even endorsed by Andrej Karpathy himself. https://old.reddit.com/r/LocalLLaMA/comments/1970zhf/merging...
Thanks for reading and yes you are right, the input audios are clips of music;
MusicCaps [1] is a dataset containing pairs of music audio and natural language description of the clip; the reason why the result is good imo is because the trained model was able to generate a description with features of the ground truth
Haha thanks; the html is on Github https://github.com/moomou/moomou.github.io/blob/master/resum... and from there you can see the imported css etc.; be warned though, the resume & css have been accumulated over the years so they are not particularly clean
Sloth is a modern day copy and paste manager that allows you to search snippets by both content and context. Context here being what program you copied from and the type of text (whehter it's an ip, python, or bash script, etc.).
Right now I am working on a custom machine learning model to do better text classification.
It's built on electron and I am adding slack integration to create a shared clipboard. Essentially, slack would act as a cloud storage.
