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), library (ex. Hugging Face), or service (ex. SageMaker), check out the integrations below and in the navigation bar on the left!
A flavor of the wandb integrations available 
Code and Tutorials
​Examples: Working, end-to-end Google Colabs and script examples for all of our integrations
​Video Tutorials: Learn to use W&B with YouTube videos for PyTorch, Keras, and more.
Guides for Specific Integrations
See the navigation bar on the left for all our integrations
Popular ML Frameworks
Popular ML Libraries
Popular Tools
​Keras​
​PyTorch​
​PyTorch Lightning​
​PyTorch Ignite​
​TensorFlow​
​Fastai​
​Scikit-Learn​
​Hugging Face​
​YOLOv5​
​MMDetection​
​Simple Transformers​
​spaCy​
​XGBoost​
​LightGBM​
​TensorBoard​
​SageMaker​
​Kubeflow Pipelines​
​Docker​
​Databricks​
​Ray Tune​
​OpenAI Gym​

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Last modified 15d ago