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text_nn - Text classification models. Used a submodule for other projects.

  •    Python

This repository assumes glove embeddings. Download Glove embeddings at: https://nlp.stanford.edu/projects/glove/ And place glove.6B/glove.6B.300d.txt in data/embeddings/glove.6B/glove.6B.300d.txt. This code supports the the NewsGroup dataset and the BeerReview dataset. The for access to the BeerReview and the corresponding embeddings, please contact me or Tao Lei. I've included the NewsGroup dataset, conveiently provided by SKLearn so you can run code out of the box.

bayesgrad - BayesGrad: Explaining Predictions of Graph Convolutional Networks

  •    Jupyter

The paper is available on arXiv, https://arxiv.org/abs/1807.01985. From left: tox21 pyridine (C5H5N), tox21 SR-MMP, delaney solubility visualization.

shapeshop - Towards Understanding Deep Learning Representations via Interactive Experimentation

  •    Python

The Shape Workshop (ShapeShop) is an interactive system for visualizing and understanding what representations a neural network model has learned in images consisting of simple shapes. It encourages model building, experimentation, and comparison to helps users explore the robustness of image classifiers. Read the paper. View the poster. Watch the teaser.

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