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machine-learning-interpretability

Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code. We are looking for co-authors to take this project forward. Reach out @ ms8909@nyu.edu

Jupyter Notebook
439
1 年前

Predicting the Likelihood to Purchase a Financial Product Following a Direct Marketing Campaign

R
27
3 年前

An interpretable machine learning pipeline over knowledge graphs

Jupyter Notebook
27
4 个月前

Paper for 2018 Joint Statistical Meetings: https://ww2.amstat.org/meetings/jsm/2018/onlineprogram/AbstractDetails.cfm?abstractid=329539

TeX
9
7 年前

TeleGam: Combining Visualization and Verbalization for Interpretable Machine Learning

JavaScript
7
6 年前

INVASE: Instance-wise Variable Selection . For more details, read the paper "INVASE: Instance-wise Variable Selection using Neural Networks," International Conference on Learning Representations (ICLR), 2019.

Python
6
3 年前

Demonstration of InterpretME, an interpretable machine learning pipeline

Jupyter Notebook
2
2 年前

This project contains the data, code and results used in the paper title "On the relationship of novelty and value in digitalization patents: A machine learning approach".

Python
1
3 年前