radas
CommunityRun large-scale experiments with Ray Tune.
AuthorYuhangSong
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Orchestrate distributed experiments with Ray Tune and analyze results with pandas/seaborn, enabling scalable hyperparameter tuning workflows across clusters.
Core Features & Use Cases
- Distributed hyperparameter tuning with Ray Tune on clusters
- Grid search, sweeps, and Optuna-backed searches
- Integrated analysis and visualization with pandas and seaborn
- Reproducible experiment workflows, with optional runtime_env and tuner configurations
Quick Start
Install the radas package, define a trainable function and a Tune param_space, then call run_experiment to start a distributed hyperparameter search.
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: radas Download link: https://github.com/YuhangSong/radas-plugins/archive/main.zip#radas Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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