Weights & Biases helps you keep track of your machine learning experiments. Use our tool to log hyperparameters and output metrics from your runs, then visualize and compare results and quickly share findings with your colleagues.
Our tools work with your machine learning infrastructure: AWS, GCP, Kubernetes, Azure, and on-prem machines.
Dashboard: Track experiments, visualize results
Reports: Save and share reproducible findings
Sweeps: Optimize models with hyperparameter tuning
Artifacts: Dataset and model versioning, pipeline tracking
Easily add our Python library
wandb to your machine learning script.
Here's a sample screenshot from a Species Identification project in W&B.
If you're interested in example projects, we have a few resources: