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Track machine learning experiments, visualize metrics, and share results |
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.
- Machine learning experiment tracking
- Visualize metrics, compare results
- Share findings with collaborators in reports
- Hyperparameter search and tuning
- Model optimization
- Automating jobs
- Dataset versioning
- Model management
- Pipeline tracking
Easily add our package, wandb, to your model 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:
- App Gallery: A gallery of featured reports in our web app
- Example Projects: Python scripts and the results in our web app