experiment-tracking-swanlab
CommunityTrack ML experiments locally with visuals.
AuthorKappTech88
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Track ML experiments, logs metrics, configs, tags, and descriptions, enabling reproducibility and comparability across runs in local or self-hosted setups.
Core Features & Use Cases
- Visualize training with scalar charts and logged media
- Compare runs across seeds, checkpoints, and hyperparameters
- Self-hosted or local dashboards to avoid SaaS dependencies
- Integrations with PyTorch, Transformers, PyTorch Lightning, Fastai
Quick Start
Initialize a SwanLab run for your project and log an initial metric to verify setup.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 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-tracking-swanlab Download link: https://github.com/KappTech88/AI-RESEARCH-SKILLS-MCP/archive/main.zip#experiment-tracking-swanlab Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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