Weights & Biases helps you keep track of your machine learning projects. Use our tools to log hyperparameters and output metrics from your runs, then visualize and compare results and quickly share findings with your colleagues.

Here is a quick overview of our lightweight, modular tools:

1. ​Dashboard: Track experiments, visualize results

2. ​Reports: Save and share reproducible findings

3. ​Artifacts: Dataset and model versioning, pipeline tracking

4. ​Sweeps: Optimize models with hyperparameter tuning

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Getting Started

Easily add our Python library wandb to your machine learning script.

• ​Quickstart​

• ​Keras integration​

• ​PyTorch integration​

• ​TensorFlow integration​

• ​Jupyter notebook integration​

Here's a sample screenshot from a Species Identification project in W&B.

Examples

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: Code and projects in GitHub and Colab