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Documentation Index

Fetch the complete documentation index at: https://wb-21fd5541-weave-caching.mintlify.app/llms.txt

Use this file to discover all available pages before exploring further.

W&B integrates with popular machine learning frameworks, cloud platforms, and workflow orchestration tools to help you track experiments, log metrics, and manage models seamlessly.

PyTorch Lightning

Integrate W&B with your PyTorch Lightning code to add experiment tracking to your pipeline.

HuggingFace Transformers

Optimize HuggingFace Transformer models with W&B for experiment tracking and model management.

Keras

Use W&B and Keras for machine learning experiment tracking, dataset versioning, and project collaboration.

YOLOv5

Use the “You Only Look Once” (aka YOLOv5) real-time object detection framework and W&B to track model metrics, inspect model outputs, and restart interrupted runs.
If the library you use is not supported natively, you can still integrate W&B using the W&B Python SDK. See Add W&B to any library for best practices and implementation guidance.