Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.
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Updated
Apr 4, 2024 - Python
Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.
Home for explainer documents originated by the Microsoft Edge team
Interpret Community extends Interpret repository with additional interpretability techniques and utility functions to handle real-world datasets and workflows.
A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the result with a built-in dashboard.
Explanation method for Graph Neural Networks (GNNs)
Different approaches to solving coding challenges, along with explanations of the thinking involved.
Reinforced Causal Explainer for Graph Neural Networks, TPAMI2022
A LIME explainer app for fine-grained sentiment classification, written using Streamlit.
An interactive exploration of various number formats
A LIME explainer app for fine-grained sentiment classification, written using Dash.
SudokuNCExplainer is my modifications to SudokuExplainer to also solve (and rate) Non-Consecutive sudokus (SudokuNC).
A small exposition of the uses, terminology and practice of the Apache Camel framework
Short experimental PIN-level explainer of the Cook County property tax system
TL;DR FOSS: your beginner's overview of everything open source.
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