ClemBot VS pytkml

I made a discord bot, https://github.com/ClemBotProject/ClemBot https://clembot.io Its not super interesting right now in terms of features but it has all the basics and a solid foundation. But we have some grand plans in the future and once those are realized then I might look into marketing it more.

If you would like to audit or inspect the source code, the bot is 100% open source and can be found here. https://github.com/ClemsonCPSC-Discord/ClemBot

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