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 LIME explainer app for fine-grained sentiment classification, written using Streamlit.
Turn papers and complex texts into visual explainer cards and cartoon storyboards.
Manim animations explaining ML/AI papers (BERT, GPT, etc.) visually.
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)
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.
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.
Animated explainer videos generated from slide decks using 3brown1blue.
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.
ImputeVIS - eXascale Infolab, University of Fribourg, Switzerland
AI-Personal-Assistant-Chatbot built using Python, Streamlit, Groq API, and Generative AI.
Claude Code skill: turn a dense technical article into a beginner-friendly single-HTML teaching deck (foundation slides + walkthrough + figures + select-text-to-ask Q&A).
Apimatic automates the creation of API documentation. This module intelligently fetches data from your APIs and compiles it into a clear, organized .md file, eliminating manual updates. It ensures your documentation is always accurate and up-to-date, freeing you to focus on development.
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