Phoenics: Bayesian optimization for efficient experiment planning
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Updated
Jul 3, 2019 - Python
Phoenics: Bayesian optimization for efficient experiment planning
A Codex skill for thermal-fluid mechanical engineering research, proposal development, technical writing, data analysis, presentations, and AI-assisted workflows.
A bilingual (EN/ZH) 4-stage research workflow skill for Claude Code and Codex CLI — topic refinement, urgency assessment, route evaluation, and experiment planning with citation verification
Experiment Planning Theory Labs
Лабораторные работы по предмету "Планирование эксперимента" с А.В. Куровым 8 семестр 2021-2022 уч.г.
Agent plugin for paper-level experiment planning, claim-evidence mapping, baselines, ablations, figures, and task handoff.
Add a description, image, and links to the experiment-planning topic page so that developers can more easily learn about it.
To associate your repository with the experiment-planning topic, visit your repo's landing page and select "manage topics."