Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.
翻译 - 快速构建可解释的 AI 仪表板,显示所谓的“黑盒”机器学习模型的内部工作原理。
Home for explainer documents originated by the Microsoft Edge team
翻译 - Microsoft Edge团队提供的解释器文档的主页
#自然语言处理#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 explainer and diagram to help understand the syntax of the arc command of SVG paths.
#算法刷题#Different approaches to solving coding challenges, along with explanations of the thinking involved.
#自然语言处理#A LIME explainer app for fine-grained sentiment classification, written using Streamlit.
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).