Visualize ML training metrics
tensorboardskillsetup L2★9,423
Orchestra-Research/AI-Research-SKILLs ↗What it does
Visualize training metrics and model behavior
Best for
When debugging deep learning models with real-time metric visualization and experiment comparison across runs.
Inputs
- · training metrics
- · model state
- · log directory
Outputs
- · interactive dashboard
- · metric plots
- · model graphs
Requires
- · tensorboard
- · torch
- · tensorflow
Preconditions
- · PyTorch or TensorFlow installed
- · training logs generated
- · TensorBoard service running
Failure modes
- · logdir not found
- · port 6006 already in use
- · corrupted event files
Trust signals
- · 27k+ GitHub stars
- · 20M+ annual downloads
- · Apache 2.0 licensed