ppymou

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.

Dont have the code up for sharing but I documented xeil (along with a few other tools) in my blog: https://paul.mou.dev/posts/2026-04-28-software-for-one/#xeil

https://paul.mou.dev

Thanks! Did not know about /r/LocalLLaMA

Thanks for the comment. I will be chronicling my progress on the blog!

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

[1] https://huggingface.co/datasets/google/MusicCaps

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

Noted. Will do. Definitely plan to make to release on all OS - but focusing on gathering feedback right now.

Right now, Sloth runs on OSX 10.8 or later. There is no storage limit; items not used will be autodeleted after n days (set in config).

Love to hear what you think of it!

https://ohsloth.com

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.

https://ohsloth.com/

Ohsloth is an open source copy and paste manager that aims to provide contextual actions based on snippet content.

It is still super early but it definitely could use some design love!

For anyone interested, I have been really interested in deep learning and have been using the following resources:

For image processing (CNN) https://cs231n.github.io/

For natural language processing (RNN) http://cs224d.stanford.edu/syllabus.html

I also found the following coursera helpful https://www.coursera.org/course/neuralnets https://www.coursera.org/learn/machine-learning

Working on providing contextual information to whatever you do online: https://cueb.io/

I never knew that redis can be extended for geo. This is really cool.

I researched geodb a while back and I only found PostGIS but I recently found out that elastic search also supports geo features.

Shameless plug - This is the simple API I built on top of PostGIS https://github.com/moo-mou/GeoGo

Ah. An oversight on our part, we will make it MIT licensed so feel free to do whatever you want with it.

The code should have no dependency other the standard go library.

You should see an output.png if it run successfully in the same folder.

Sorry, no easy access to a windows right now, but I will try it out on when I get a chance.

For me, going through wikipedia article on phong and working out the math with my friends (instead of just blindly translating the equations to code) really helped me understand the basics.

In order to learn more (I admittedly know very little about anything other than the phong model - the other friend is much more knowledgable), I presume either a textbook or a course notes like this https://www.student.cs.uwaterloo.ca/~cs488/notes.pdf will probably help.

Wrote this with friend as a learning project for golang. Any golang tips would be much appreciated.

Out of curiosity, how well would these model work on computer generated graphics (say Skyrim)?

My gut feeling says it will work but I am curious if the model need to be trained separately for those.

Thanks for the idea. I definitely see feedback loop as one potential major case for this.

Another idea I was thinking about is altering the music the programmer is playing in some way instead of generating music.

Agreed. I am working on putting up documentation on how to set it up and get it running locally. There is still tons of work to be done though.

I deliberately chose to release as early as possible to find out if what people think of the project since I tend to have a tendency of taking forever to get feedback.

Oops. Looks I missed a push to Github.

But in theory, any soundfont file will do. There is a bunch of sound fonts here:

http://soundfonts.homemusician.net/piano_soundfonts/page1/in...

Right. I wasn't sure about that one too.

This is early alpha quality, but I am really interested in hearing feedback from the community.

Please let me know what you guys think!

Ah ok. Didn't know that. Thanks for the tip.

Thanks!

Hi. We are currently using the Chrome's built-in speech recognition and so it only works for Chrome at the moment.

It should not be too much work to add in external speech recognition library later on.

I like the idea.

But I also believe that solving personal problem is a good place to start. After all, if one person has a problem, it is likely that there are at least 5 other person who shares the pain.

Just signed up. I would love if you changed the signup form to use textarea rather than input though...

Great writeup. Curious, are there clear advantages that the vector representation has over graph models (FB graph search, Google Knowledge graph)?

I don't think it's that much harder as CS can easily apply under the computer analyst category for the TN visa.