Integrations

Special features and examples of how to integrate W&B with other popular tools

Weights & Biases integrations make it fast and easy to set up experiment tracking and data versioning inside existing projects. If you're using a popular ML framework (ex. PyTorch), repository (ex. Hugging Face), or service (ex. SageMaker), check out the integrations below!

  • Examples: GitHub repo with working, end-to-end code examples for all of our integrations

  • Colabs: Try out W&B inside different frameworks, such as PyTorch Lightning, in an interactive notebook -- no installation required

  • Video Tutorials: Learn to use W&B with YouTube videos for PyTorch, Keras, and more. Here's an example:

Guides for Specific Integrations

Popular ML Frameworks
Popular Repositories
Popular Tools
Popular ML Frameworks
Popular Repositories
Popular Tools