experiment-dse
CommunityOrchestrate end-to-end design-space exploration for ML experiments.
Data & Analytics#automation#hyperparameters#config-management#ml-research#experiment-plan#design-space-exploration
AuthorShiien
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Design-space exploration for hyperparameters across ML experiments helps researchers discover optimal configurations efficiently.
Core Features & Use Cases
- Generate a YAML-dicated config list from an experiment plan or parameter ranges.
- Coordinate batched execution via experiment-run and produce a comprehensive DSE report with best config and sensitivity analysis.
- Trigger downstream tasks and provide a structured path from experiment-plan to experiment-run.
Quick Start
Start a DSE by supplying an experiment-plan and config.yaml budget, then let the system generate configs.yaml, run batches via experiment-run, and produce a final report.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: experiment-dse Download link: https://github.com/Shiien/Self-Evolved-Research-Framework/archive/main.zip#experiment-dse Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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