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An open source, full-stack tool for interpreting and explaining machine learning models and algorithms, making them fair and accountable. Systems Engineering Project in collaboration with NHS Digital and Code4Health.
Tech stack
Flask
HTML5, CSS3, JavaScript
Docker
Microsoft Azure
Tensorflow
Achievements
Visualized counterfactuals of any classification model using Tensorboard and LIME.
Explained image classifiers using feature visualization
Provided insights of the dataset and the predictions using feature importance and partial dependency plots
Deployed fully containerized flask web app on Azure Linux VM.
About
Interpreting and Explaining Artificial Intelligence