source for chandan's personal website (https://csinva.github.io)
contains slides, research overviews, notes, blog posts, links to code/research, and personal information
- the _slides folder contains source for many presentations, including ml slides from teaching intro machine learning at berkeley:
- notes on different research areas in the research_ovws folder (e.g. interpretability, complexity) with links to recent papers
- the _notes folder contains markdown notes for many different classes and areas between computer science, statistics, and neuroscience
interpretability | connectomics |
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- links to code, such as these repos (acd, dac) for interpretable machine learning and this repo, which contains code for simple pre-trained gans
generated samples | data samples |
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- uses theme from here
- uses particles.js