A framework for analyzing computer vision models with simulated data

Anomaly classification with rules

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

A drag-and-drop dashboard editor for JupyterLab

Fit interpretable models. Explain blackbox machine learning.

Interactive Computing for Humans

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

Using / reproducing DAC from the paper "Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees"

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

Script that crawls meta data from ICLR OpenReview webpage. Tutorials on installing and using Selenium and ChromeDriver on Ubuntu.