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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.
- ****Dashboard: Track experiments, visualize results
- ****Reports: Save and share reproducible findings
- ****Sweeps: Optimize models with hyperparameter tuning
- ****Artifacts: Dataset and model versioning, pipeline tracking
{% embed url="https://youtu.be/gnD8BFuyVUA" %}
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:
- App Gallery: A gallery of featured reports in our web app
- Example Projects: Python scripts and the results in our web app