interpretable-machine-learning topic

A Julia package for interpretable machine learning with stochastic Shapley values

nredell

Concept Bottleneck Models, ICML 2020

yewsiang

PyTorch code for ETSformer: Exponential Smoothing Transformers for Time-series Forecasting

salesforce

Fast approximate Shapley values in R

bgreenwell

FairPut - Machine Learning Fairness Framework with LightGBM — Explainability, Robustness, Fairness (by @firmai)

firmai

[ICML 2022] Graph Stochastic Attention (GSAT) for interpretable and generalizable graph learning.

Graph-COM

Model Agnostic Counterfactual Explanations

charmlab

Interesting resources related to Explainable Artificial Intelligence, Interpretable Machine Learning, Interactive Machine Learning, Human in Loop and Visual Analytics.

rehmanzafar

All about explainable AI, algorithmic fairness and more

andreysharapov

Implementation of the paper "Shapley Explanation Networks"

inouye-lab