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Love this resource Tom! Perhaps you don't think this would fit, but it could be cool to have a section for more elementary math / stats resources, since things like linalg, probability, statistical inference are important tools for doing good science / cog neuro as well.

Some examples:

Probability course by Joe Blitzstein at Harvard: https://projects.iq.harvard.edu/stat110/youtube

Linear Algebra course by Gilbert String at MIT: https://ocw.mit.edu/courses/18-06-linear-algebra-spring-2010/video_galleries/video-lectures/

Statistical Inference and Bayesian Data Analysis lectures and code by Richard McElreath at Max Planck Institute: https://github.com/rmcelreath/stat_rethinking_2022

I wrote the good research code guide, which is about how to organize code to not shoot yourself in the foot. I think it would git well with the spirit of openlists, but I'm not too sure which section it belongs in – could be in Python, in git, other, etc. Let me if you think it's useful and where you think it belongs and I can send a PR.