reddit-playlists VS pytkml

https://github.com/jameslawlor/reddit-playlists

I made a bot last summer to generate and update weekly Spotify playlists from 100 or so music subreddits based on the top submissions of that week. Update operates entirely through a GitHub action so no resource spending.

I don’t often finish my side projects so was pretty happy to have something finally usable and shareable, it’s been fun showing friends!

You might be interested in a project I shared here on HN recently to create weekly spotify playlists automatically for each of about ~100 music subreddits, using the most popular submissions in the last week.

The main project page with a link to all the playlists is here: https://jameslawlor.github.io/reddit-playlists/

Code on Github: https://github.com/jameslawlor/reddit-playlists

All the code is public, link with more technical information is here: https://github.com/jameslawlor/reddit-playlists

Code: https://github.com/rbitr/pytkml

I didn't explain it well; this is an area that's becoming increasingly important

I worked on (wouldn't say I completed) a testing framework for ML models, where you can specify a series of tests for a model to pass. The unique part is emphasizing support from the training data for the inferences you expect the model to make, i.e. checking that similar training data exists for some test cases and is influential in predicting them. It's pretty niche, and I don't explain it very well, but I remain convinced that with the right framing it represents a more rigorous way of making sure machine learning models are built and used "responsibly".

https://github.com/rbitr/pytkml