5 open source projects by csinva

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

Slides, paper notes, class notes, blog posts, and research on ML 📉, statistics 📊, and AI 🤖.

Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.

Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" 🧠 (ICLR 2019)

Functions for easily making publication-quality figures with matplotlib.