source for https://csinva.github.io
contains slides, research overviews, notes, blog posts, links to code/research, and personal info
the pres folder contains source for presentations, including ml slides from teaching intro machine learning at berkeley - the source is in markdown and is easily editable
overviews and summaries of recent papers in different research areas in the research_ovws folder (e.g. interpretable ml, theoretical ml, complexity in ml, scattering transform, dl in neuroscience)
the _notes folder contains markdown notes for many different classes and areas between computer science, statistics, and neuroscience
links to research code, such as these repos for interpretable machine learning (e.g. hierarchical-dnn-interpretations, disentangled-attribution-curves) and miscellaneous repos for data science (e.g. pytorch-pretrained-gans)
blog on various aspects of machine learning / statistics / neuroscience advancements
| interpretability | connectomics |
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- for updates, star the repo or follow @chandan_singh96
- uses timeline theme
- uses particles.js