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.
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.
Reinforced Causal Explainer for Graph Neural Networks, TPAMI2022
An interactive exploration of various number formats
Different approaches to solving coding challenges, along with explanations of the thinking involved.
First-principles Manim skill for Claude Code — mathematical animation from scratch, paper-explainer patterns, 21 rule files.
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
A LIME explainer app for fine-grained sentiment classification, written using Streamlit.
Application for explaining difficult to understand textbooks based on Yandex Cloud API (YandexGPT-Pro, Yandex-OCR)
A small explainer repository that shows how to use the BEM syntax in CSS.
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