experiment-queue
CommunityOrchestrate large ML experiments across GPUs.
Authorjkfee
Version1.0.0
Installs0
System Documentation
What problem does it solve?
SSH-based orchestration of large batches of ML experiments enables scalable, reproducible runs on remote GPU clusters by coordinating jobs, tracking state, and handling failures automatically.
Core Features & Use Cases
- Wave-based scheduling to maximize GPU utilization without memory contention.
- OOM-aware retry to recover from CUDA memory errors while preserving experiment progress.
- Stale-screen cleanup to detect and recover from detached sessions and ensure progress.
- Manifest/grid-driven orchestration to generate and run large grids of experiments from concise specifications.
Quick Start
Describe your experiment grid and run /experiment-queue to launch a scheduled, wave-based batch across multiple GPUs.
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-queue Download link: https://github.com/jkfee/Auto-Research/archive/main.zip#experiment-queue Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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