contains notes, slides, blog posts, and personal information

• contains source for many presentations, including slides from teaching intro machine learning at berkeley:

• notes on different research areas in the _notes/research folder (e.g. interpretability, complexity)

• the _notes folder also contains markdown notes for many different classes and areas

• blogs on different research areas such as interpretability and connectomics.

  

• links to many simple coding projects, such as this github repo, which contains code for simple pre-trained gans

generated samples	data samples

• uses theme from here
• uses particles.js