EBVL

SliceLens

dataLabeling

instance-level-elicitation

partial_dependence

Python package to visualize and cluster partial dependence.

SuRE

SuRE is an interactive user interface for visual exploration of surrogate rules that describe a black-box model’s behaviors on different groups of instances.

sure_evaluation

counterfactual_explorer

https://sites.google.com/nyu.edu/counterfactual-explorer/home

rule_empirical_study

ViCE

Visual Counterfactual Explanations for Machine Learning Models

ela

jupyter_ui_example

info-vis-project-template

A simple template to use for class projects.

publication_analysis

research-project-template

A template for research project.

Fico-Challenge

Explainable Machine Learning Challenge

ml-interview-study

Human Factors in Model Interpretability: Industry Practices, Challenges, and Needs

visual_analytics_course

Labs for Visual Analytics Course

info-vis-course-website

explanation_explorer

A user interface to interpret machine learning models.

info_vis_network

infovis_practice_color_geo

text_vis_lab

patient-viz

Visualization of electronic medical records or other sequence event data.

scatter-plot-similarity

Supplementary material for user study on scatter plot similarity

keyword-summaries-playground

Playground to test different dimentions to generate keyword summaries

word-cloud

Taking Word Clouds Apart: An Empirical Investigation of the Design Space for Keyword Summaries

revex

rivelo

Interpreting Black-Box Classifiers Using Instance-Level Visual Explanations

ml-seminar

data-sensemaking

NYU Tandon Course on Data Sensemaking