Showing 4 of 4 projects
A desktop app that reconstructs Claude Code's full execution trace from local session logs, showing every tool call, subagent, and token.
A curated collection of research papers and software for explainable graph machine learning and reasoning.
An open-source Python toolkit providing a comprehensive collection of algorithms for interpreting and explaining machine learning models and datasets.
A curated collection of research papers, books, courses, and Python libraries for explainable AI (XAI) and machine learning interpretability.
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.