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.

Make sense of any code, anytime. 🚀

Explanation method for Graph Neural Networks (GNNs)

Reinforced Causal Explainer for Graph Neural Networks, TPAMI2022

An interactive exploration of various number formats

An explainer and diagram to help understand the syntax of the arc command of SVG paths.

Different approaches to solving coding challenges, along with explanations of the thinking involved.

SudokuExplainer (SE)

A LIME explainer app for fine-grained sentiment classification, written using Streamlit.

Intuitive Zero-Knowledge Primer.

PGExplainer is a Minimal SudokuExplainer, to rate (ER/EP/ED) sudoku puzzles.

A small explainer repository that shows how to use the BEM syntax in CSS.

Implementation of Model-Agnostic Graph Explainability Technique from Scratch in PyTorch

Bachelor Thesis about using attention for explaining a deep learning AI model in computer vision

SudokuNCExplainer is my modifications to SudokuExplainer to also solve (and rate) Non-Consecutive sudokus (SudokuNC).

画像の分類とモデルの説明性を可視化します。