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W&B Models by Weights & Biases

Train, fine-tune, and manage AI models

5.0
•3 reviews•

31 followers

Train, fine-tune, and manage AI models

5.0
•3 reviews•

31 followers

Visit website
AI Infrastructure Tools
•
AI Metrics and Evaluation
W&B Models, from Weights & Biases, helps you train, fine-tune, govern, and manage AI models from experimentation to production. You can run more experiments, analyze them interactively, and quickly build higher-quality models. Use the W&B Registry to centralize the tracking of models, datasets, metadata, and their lineage to support governance, and reproducibility. Also, automate workflows for training, evaluation, and deployment to enable rapid iteration.
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Company Info
wandb.ai/siteGitHub
W&B Models by Weights & Biases Info
Launched in 2019View 3 launches
Forum
p/weights-biases
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This is the 3rd launch from W&B Models by Weights & Biases. View more

W&B Experiments

The system of record for your model training
W&B Experiments lets you quickly and easily implement experiment logging by adding just a few lines to your script and start logging results. Our lightweight integration works with any Python script.
W&B Experiments gallery image
W&B Experiments gallery image
Free Options
Launch tags:
Developer Tools•Artificial Intelligence
Launch Team
Dave Davies

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W&B Models by Weights & Biases Launches

W&B Experiments The system of record for your model training

Launched on June 24th, 2025

Sweeps Scalable, customizable hyperparameter tuning

Launched on January 30th, 2020

Do you use W&B Models by Weights & Biases?

5.0
Based on 3 reviews
Review W&B Models by Weights & Biases?

Weights & Biases is highly praised for its ability to track and visualize machine learning experiments, making it an essential tool for AI model training and collaboration. Users from Cartesia Sonic and Uplift highlight its importance in monitoring and optimizing model performance, while Sonauto appreciates its capacity to handle large datasets. Overall, it is valued for streamlining the transition from experimentation to production.

Ryan TremblayTashvik DhamijaBrandon Yang
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