From climate science to medical research to fundamental breakthroughs in NLP and computer vision, Weights & Biases is behind the scenes making research more reproducible and collaborative. Check out some of the 500+ papers that have cited W&B.
If you used W&B and we helped make your research successful, we’d love to hear about it. You can cite us with the information to the right but what we’d like most is to hear from you about your work. Email us at research@wandb.com and we’ll get in touch.
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Weights & Biases plays well with others. From PyTorch, Keras, and JAX to niche repos across the ML landscape, chances are, you’ll find us integrated there. Check out our most popular integrations (and how they work) in our docs.
We've included introductory content to help get you and your students started using Weights & Biases to enable collaborative, repeatable machine and deep learning in your classroom, research lab, or student-run organization.
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Discover how to accelerate and scale your model development, improve your productivity, ensure reproducibility and model lineage, and above all else, train better models faster in this expansive, free course from W&B.
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Weights & Biases is made for collaboration. With each and every experiment logged to a single system, your research team shares access to all dataset and model versions, git commits, and your recent experiments.
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Track, compare, and visualize all your ML experiments in a single place. Academics and researchers get full access to our entire suite of features and it takes just five lines of code to get started.