W&B Tutorials

Learn to use W&B with interactive code examples

The following tutorials take you through the fundamentals of Weights & Biases for machine learning experiment tracking, model evaluation, hyperparameter tuning, model and dataset versioning, and more.

1. Track experiments
2. Visualize predictions
3. Tune hyperparameters
4. Track models and datasets
5. Register models
6. Iterate on LLMs

Use W&B with popular ML frameworks

• PyTorch
• PyTorch Lightning
• HuggingFace 🤗 Transformers
• Tensorflow
  • Track experiments
  • Tune hyperparameters
• Keras
  • Track experiments
  • Visualize predictions
  • Model Checkpointing
• XGBoost
  • Track experiments
  • Tune hyperparameters
• LightGBM