Sensitivity Analysis for Understanding Complex Computational Models

Optimizing Mind static website v1

Explain to Fix: A Framework to Interpret and Correct DNN Object Detector Predictions

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

Code for ICML 2019 paper titled "On the Long-term Impact of Algorithmic Decision Policies: Effort Unfairness and Feature Segregation through Social Learning"

Predict Man of the Match using various machine learning techniques and explain misclassifications

A take on highly imbalanced fraud classification using permutation importance to select top features and explaining the model using SHAP.

Explaining blackbox predictions using python libraries.

Slides, videos and other potentially useful artifacts from various presentations on responsible machine learning.

Explainable Species Distribution Modeling

📺 A Python library for pruning and visualizing Keras Neural Networks' structure and weights

Visual Explanation using Uncertainty based Class Activation Maps

Implementation of "Knowing your FATE: Friendship, Action and Temporal Explanations for User Engagement Prediction on Social Apps"

Implementation of our paper "Instance Explainable Multi-Instance Learning for ROI of Various Data"

List of papers in the area of Explainable Artificial Intelligence Year wise

Methods and tools for explainable AI with tensorflow

Paper reading list during my studies

Interactive feature selection web application

A curated list of awesome contrastive explanation in ML resources