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:
![](https://raw.githubusercontent.com/coder1077/csinva.github.io/master/assets/img/pres_demo.gif)
- 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
- links to code, such as this these repos (acd, dac) for interpretable machine learning and this repo, which contains code for simple pre-trained gans
generated samples |
data samples |
![fake_images-300](https://raw.githubusercontent.com/coder1077/csinva.github.io/master/assets/img/samples/fake_samples_epoch_199.png) |
![real_images](https://raw.githubusercontent.com/coder1077/csinva.github.io/master/assets/img/samples/real_samples.png) |