Build better models faster with experiment tracking, dataset versioning, and model management
Track, compare, and visualize ML experiments with 5 lines of code. Free for academic and open source projects.
Add W&B's lightweight integration to your existing ML code and quickly get live metrics, terminal logs, and system stats streamed to the centralized dashboard.
Explain how your model works, show graphs of how model versions improved, discuss bugs, and demonstrate progress towards milestones.
Add a few lines to your script, and each time you train a new version of your model, you'll see a new experiment stream live to your dashboard.
Try it OutOptimize models with our massively scalable hyperparameter search tool. Sweeps are lightweight, fast to set up, and plug in to your existing infrastructure for running models.
Try it OutSave every detail of your end-to-end machine learning pipeline — data preparation, data versioning, training, and evaluation.
Try it OutIt's never been easier to share project updates. Explain how your model works, show graphs of how model versions improved, discuss bugs, and demonstrate progress towards milestones.
Try it OutManage team projects with a lightweight system of record. It's easy to hand off projects when every experiment is automatically well documented and saved centrally.
Try W&BWith Weights & Biases experiment tracking, your team can standardize tracking for experiments and capture hyperparameters, metrics, input data, and the exact code version that trained each model
try w&bLet Weights & Biases take care of the legwork of tracking and visualizing performance metrics, example predictions, and even system metrics to identify performance issues.
try w&BIt's never been easier to share project updates. Explain how your model works, show graphs of how model versions improved, discuss bugs, and demonstrate progress towards milestones.
try w&bUse this central platform to reliably track all your organization's machine learning models, from experimentation to production. Centrally manage access controls and artifact audit logs, with a complete model history that enables traceable model results.
TRY W&BCapture all the inputs, transformations, and systems involved in building a production model. Safeguard valuable intellectual property with all the necessary context to understand and build upon models, even after team members leave.
TRY W&BWith a well integrated pipeline, your machine learning teams move quickly and build valuable models in less time. Use Weights & Biases to empower your team to share insights and build models faster.
Try w&BData security is a cornerstone of our machine learning platform. We support enterprise installations in private cloud and on-prem clusters, and plug in easily with other enterprise-grade tools in your machine learning workflow.
try W&B"W&B was fundamental for launching our internal machine learning systems, as it enables collaboration across various teams."
"W&B is a key piece of our fast-paced, cutting-edge, large-scale research workflow: great flexibility, performance, and user experience."
"W&B allows us to scale up insights from a single researcher to the entire team and from a single machine to thousands."
Once you’re using W&B to track and visualize ML experiments, it’s seamless to create a report to showcase your work.
Read how building the right technical stack for your machine learning team supports core business efforts and safeguards IP
Working on machine learning projects? We're bringing together ML practitioners from across industry and academia.
Get a behind-the-scenes look at production ML with industry leaders
Join virtual events and get insights on best practices for your ML projects
Watch videos about cool ML projects, interviews, W&B tips, and a whole lot more