radas

Community

Run 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 required

Components

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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