Pinned

1. csinva.github.io

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

   HTML 332 84

2. imodels

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

   Jupyter Notebook 144 14

3. hierarchical-dnn-interpretations

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

   Jupyter Notebook 88 17

4. gan-vae-pretrained-pytorch

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

   Jupyter Notebook 59 18

5. Yu-Group/covid19-severity-prediction

   Extensive and accessible COVID-19 data + forecasting for counties and hospitals. 📈

   Jupyter Notebook 155 66

6. laura-rieger/deep-explanation-penalization

   Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" https://arxiv.org/abs/1909.13584

   Jupyter Notebook 69 9