REPORTING

Collaborative analysis in live dashboards

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Work log

Keep track of your results and plan your next steps.

Seamless Sharing

Share graphs, notes and dynamic experiments with flexible formats.

Collaboration

Easily invite collaborators to edit and comment on your ML projects.

Collaborative Reporting

It's never been easier to share updates and outcomes of your machine learning projects with your coworkers. Explain how your model works, show graphs and visualizations of how your model versions improved, discuss bugs, and demonstrate progress towards milestones.

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Report comments

Make live comments, describe your findings, and take snapshots of your work log.

Flexible exporting

Say goodbye to screenshots and unorganized notes. You can easily export your report as a LaTeX zip file or convert the file to PDF.

Report Gallery

Authors use Weights & Biases to track and visualize their machine learning experiments, and write reports to explain and showcase their work.

Exploring generative models that create music based on raw audio

Digital Lighting Effects

Use RGB-space geometry to generate digital painting lighting effects

Political Advertising

Fuzzy string search (or binary matching) on entity names from receipt PDFs

Visualize Model Predictions

Visualize images, videos, audio, tables, HTML, metrics, 3d objects, point clouds

Semantic segmentation for scene parsing on Berkeley Deep Drive 100K