Weights & Biases
Weights & Biases (W&B) is a machine learning operations (MLOps) platform that helps developers track, visualize, and manage machine learning experiments. It provides tools for logging metrics, hyperparameters, and outputs, enabling reproducible and collaborative model development. The platform integrates with popular ML frameworks like PyTorch, TensorFlow, and scikit-learn to streamline the ML workflow.
Developers should use Weights & Biases when building and iterating on machine learning models, as it simplifies experiment tracking, hyperparameter tuning, and model versioning. It is particularly valuable in team environments for sharing results and ensuring reproducibility, and for projects requiring detailed performance analysis and visualization of training runs.