Track ML experiments locally
experiment-tracking-swanlabskillsetup L2★9,423
Orchestra-Research/AI-Research-SKILLs ↗What it does
Track machine learning experiments with real-time visualization and comparison
Best for
Real-time experiment monitoring during training when live curves beat post-hoc analysis.
Inputs
- · experiment config dict
- · metrics stream during training
- · hyperparameter values
Outputs
- · live dashboard with metric curves
- · comparison matrix of runs
- · experiment heatmaps
Requires
- · SwanLab API/cloud
- · Python SDK
- · browser for dashboard
Preconditions
Python environment; API credentials; internet for cloud sync
Failure modes
- · API rate limits on high-frequency logging
- · Metric name conflicts across runs
- · Timezone issues in timestamp aggregation
Trust signals
- · Real-time dashboard
- · Live comparison without page refresh
- · Lightweight Python integration