xai-tutorial

A repository for eXplanable Artificial Intelligence(XAI) tutorial.

📦 xai-tutorial
 ┣ 📂 notebook     # base directory
 ┃ ┣ 🪐 InputGradient.ipynb ✅
 ┃ ┣ 🪐 LIME.ipynb ✅
 ┃ ┣ 🪐 Rule-Fit.ipynb  ✅
 ┃ ┣ 🪐 PartialDependencyPlot.ipynb ✅
 ┃ ┣ 🪐 IndividualConditionalExpectation.ipynb ✅
 ┃ ┣ 🪐 Shapley.ipynb ❌
 ┃ ┣ 🪐 GaussianProcess.ipynb ✅
 ┃ ┣ 🪐 Deep-Dream.ipynb  ✅
 ┃ ┣ 🪐 LRP.ipynb ✅
 ┃ ┗ 🪐 CRP.ipynb ✅
 ┣ 📂 src  # Stores Runable configs for experiments 
 ┃ ┣ 📂 xai # xai related scripts
 ┃ ┃ ┣ 📂 lrp  # implementation of lrp 
 ┃ ┃ ┣ 🐍 shapley.py # 
 ┃ ┃ ┗ 🐍 data.py      
 ┃ ┗ 📂 misc
 ┃ ┃ ┣ 🐍 cnn_model.py   
 ┃ ┃ ┣ 🐍 fcn_model.py  
 ┃ ┃ ┗ 🐍 utils.py   
 ┣ 📂 data  # Stores Runable configs for experiments 
 ┃ ┣ ｛..｝imagenet_label.json  # implementation of lrp 
 ┃ ┣  🖼️ mona_lisa_dd.jpg # Image data for deep dream
 ┃ ┣  🖼️ sky_dd.jpeg      # Image data for deep dream
 ┃ ┗  🖼️ flowers_dd.jpg   # Image data for deep dream
 ┣ 📜 .gitignore
 ┣ 📜 LICENSE