Collaborative analysis in live dashboards
Keep track of your results and plan your next steps.
Share graphs, notes and dynamic experiments with flexible formats.
Easily invite collaborators to edit and comment on your ML projects.
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.
Make live comments, describe your findings, and take snapshots of your work log.
Say goodbye to screenshots and unorganized notes. You can easily export your report as a LaTeX zip file or convert the file to PDF.
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
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