Weights & Biases: a platform for machine learning experiment tracking and collaboration
Weights & Biases (W&B) is a platform for machine learning developers for experiment tracking, result visualization and model optimization. It helps teams record experimental parameters, output metrics, and system resources, and compare and analyze them through interactive panels, thus improving R&D efficiency and collaboration quality. The platform supports mainstream deep learning frameworks and is suitable for different stages from research to production.