Learning repository for testing ML workflow patterns through iterative experiments. Documents what works and what fails to enable research and citizen science initiatives.
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Updated
Jun 24, 2025 - Jupyter Notebook
Learning repository for testing ML workflow patterns through iterative experiments. Documents what works and what fails to enable research and citizen science initiatives.
Bilingual MCP catalog of workflow patterns, server shapes, and launchable combinations with explicit evidence levels.
A Claude cowork skill for designing AI agent architectures via Socratic deep interviewing. Five-phase pipeline: interview → recommendation → blueprint → modules → prototype. Based on Anthropic's Building Effective Agents framework.
A Rust framework for defining and running reliable long-running workflows
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