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.
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.
OpenAI Jukebox
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
Driver's View
Semantic segmentation for scene parsing on Berkeley Deep Drive 100K