Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.
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Updated
Feb 19, 2023 - 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)
Reinforced Causal Explainer for Graph Neural Networks, TPAMI2022
Different approaches to solving coding challenges, along with explanations of the thinking involved.
A LIME explainer app for fine-grained sentiment classification, written using Streamlit.
A small explainer repository that shows how to use the BEM syntax in CSS.
SudokuNCExplainer is my modifications to SudokuExplainer to also solve (and rate) Non-Consecutive sudokus (SudokuNC).
Explainers for several kinds of units proposed for inclusion in CSS (and SCSS and LESS)
画像の分類とモデルの説明性を可視化します。
An innovative way of presenting code
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