Pinned

1. hierarchical-dnn-interpretations

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

   Jupyter Notebook 77 16

2. csinva.github.io

   Slides, paper notes, class notes, blog posts, and research on machine learning, statistics, and artificial intelligence.

   HTML 308 79

3. 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 53 7

4. Yu-Group/covid19-severity-prediction

   Extensive and accessible COVID-19 data + forecasting at the county-level + hospital-level.

   HTML 97 50

5. gpt2-paper-title-generator

   Generating paper titles (and more!) with GPT-2 trained on data scraped from arXiv.

   HTML 48 7

6. gan-vae-pretrained-pytorch

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

   Jupyter Notebook 48 17