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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
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