Think of W&B like GitHub for machine learning models — it’s the developer-first MLOps platform functioning as a centralized system of record.
With a few lines of code, save everything you need to debug, compare and reproduce your models — architecture, hyperparameters, git commits, model weights, GPU usage, and even datasets and predictions.
W&B’s lightweight integrations work with any Python script, and you can sign up for a free account and start tracking and visualizing models in 5 minutes. Used by top researchers including teams at Qualcomm, NVIDIA, OpenAI, Lyft, Pfizer, Toyota, Github, and MILA, W&B is part of the new standard of best practices for machine learning.
