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
归藏的材质插画 skill：生成带字解释图、图表美化和参考辅助配图。
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)
ImputeGAP is a comprehensive Python library for imputation of missing values in time series data. It implements user-friendly APIs to easily visualize, analyze, and repair incomplete time series datasets.
Repo Explainer — turn any GitHub repo into a visual explainer page. Pipeline + 5 live examples.
Reinforced Causal Explainer for Graph Neural Networks, TPAMI2022
First-principles Manim skill for Claude Code — mathematical animation from scratch, paper-explainer patterns, 21 rule files.
An interactive exploration of various number formats
A Claude Skill that builds polished, interactive HTML explainers, with an automatic QA loop and anti-slop visual guards.
Interactive Overview of how KARIMO works - Autonomous development framework for Claude Code — plan mode on steroids. Product design-driven agent orchestration with sub-agents and agent teams, tuned for developers and designers shipping real features. Phased adoption from PRD execution to automated review, code review, and CI-friendly agent teams
Point it at anything — a codebase, a PR, an essay, a paper, a URL — and get back a narrated, animated film that argues for what it explains. A closed grammar of explanation rendered by a coding agent, judged before it ships.
🧠 Understand AI in minutes: 32 core AI concepts explained with simple visuals + everyday analogies, for technical and non-technical readers alike.
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