Visualize and debug model pipelines with W&B. Think of W&B like GitHub for machine learning models. 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. How W&B can help you optimize your machine learning workflows:

• Debug model performance in real time
• GPU usage, visualized automatically
• Custom charts for powerful, extensible visualization
• Share insights interactively with collaborators
• Optimize hyperparameters efficiently
• Track datasets, pipelines, and production models