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GitHub topics: post-hoc-explanation

SquareResearchCenter-AI/BEExAI

Benchmark to Evaluate EXplainable AI

Language: Python - Size: 36.6 MB - Last synced at: 12 days ago - Pushed at: 4 months ago - Stars: 20 - Forks: 1

RiccardoSpolaor/Verbal-Explanations-of-Spatio-Temporal-Graph-Neural-Networks-for-Traffic-Forecasting

An eXplainable AI system to elucidate short-term speed forecasts in traffic networks obtained by Spatio-Temporal Graph Neural Networks.

Language: Jupyter Notebook - Size: 118 MB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 18 - Forks: 2

xiangwang1223/reinforced_causal_explainer

Reinforced Causal Explainer for Graph Neural Networks, TPAMI2022

Language: Python - Size: 16.1 MB - Last synced at: 2 months ago - Pushed at: about 3 years ago - Stars: 35 - Forks: 4

MarcoParola/saliency-benchmark

Repository for benchmarking different post-hoc xai explanation methods on image datasets

Language: Python - Size: 2.36 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 6 - Forks: 1

DataManagementLab/Astrapia

Astrapia - A Friendly XAI Explainer Evaluation Framework

Language: Python - Size: 5.36 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 2

dylan-slack/Fooling-LIME-SHAP

Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)

Language: Jupyter Notebook - Size: 1.06 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 68 - Forks: 16

craymichael/unfooling

[AAAI'23 Paper] A machine learning defense for auditors of black box automated decision-making systems.

Language: Python - Size: 1.19 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0