Experiment tracking, Datasetset tracking, Dataset visualization
Weights & Biases helps your ML team unlock their productivity by optimizing, visualizing, collaborating on, and standardizing their model and data pipelines – regardless of framework, environment, or workflow.
Think of W&B like GitHub for machine learning models. With a few lines of code, you can 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.
• W&B's dashboard lets you track your experiments, see live updates on model performance, check for overfitting, reproduce your best performances, and more.
• Artifacts gives you a bird's eye view of every step of model development so you can understand which data and which models depend on each other
• Tables lets you actually *see*, organize, and evaluate your data, unlocking insights about where your model is excelling---and where it isn't
• Working with a team on W&B means your colleagues can dig into and reproduce any of your experiments, collaborate on models, and seamlessly share insights with stakeholders
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