Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.
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Updated
Feb 11, 2026 - Python
Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.
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
First-principles Manim skill for Claude Code — mathematical animation from scratch, paper-explainer patterns, 21 rule files.
A Claude Code skill that turns one researched topic into a finished vertical explainer film: cut-paper artwork animated across depth planes, free local narration, assembled with ffmpeg.
Agent skill that explains mechanisms in plain language, and turns them into self-contained learning pages you can quiz yourself on
A LIME explainer app for fine-grained sentiment classification, written using Streamlit.
Manim animations explaining ML/AI papers (BERT, GPT, etc.) visually.
An explanation compiler for Claude Code: one semantic model, rendered as controlled prose, diagrams, interactive pages, or 3Blue1Brown-style videos with local voiceover.
Hand-drawn explainer comic pipeline — AI draws the scenes, code draws the bubbles. Reproducible storyboards, lint-verified output, 12 sample works.
Animated explainer videos generated from slide decks using 3brown1blue.
Turn papers and complex texts into visual explainer cards and cartoon storyboards.
Explain any neural network layer by layer in five linked views — diagram, plain words, math, executed naive code, official implementation. An MCP server + local renderer driven by your own AI subscription; works in any language; explanations grow into a cross-linked library.
Implementation of Model-Agnostic Graph Explainability Technique from Scratch in PyTorch
Application for explaining difficult to understand textbooks based on Yandex Cloud API (YandexGPT-Pro, Yandex-OCR)
AI-powered web app (Google Gemini) to explain complex topics in simple terms. Built entirely with FastAPI. Features multiple explanation styles, Markdown rendering, search, and saving answers. Open Source.
An agent skill that chooses words, diagrams, interactive HTML, or narrated video to explain an idea.
To associate your repository with the explainer topic, visit your repo's landing page and select "manage topics."