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Weights & Biases is a developer-first MLOps platform. Track everything you need to make your models reproducible with Weights & Biases— from hyperparameters and code to model weights and dataset versions. Weights & Biases helps your ML team unlock their productivity by optimizing, visualizing, collaborating on, and standardizing their model and data pipelines – regardless of framework, environment, or workflow. Used by ML engineers at OpenAI, Lyft, Pfizer, Qualcomm, NVIDIA, Toyota, GitHub, and MILA, W&B is part of the new standard of best practices for machine learning. W&B is free for personal use and academic projects, and it's easy to get started. Run your first experiment in 30 seconds with this quick hosted notebook: [bit.ly/intro-wb](http://wandb.me/intro)

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Website http://www.wandb.ai
Employees 248 (99 on RocketReach)
Founded 2017
Address 1479 Folsom St, San Francisco, California 94103, US
Industry Software Development, Deep Learning, Developer Tools, Machine Learning

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Rebecca Li is the Director of Strategy of Weights & Biases.

99 people are employed at Weights & Biases.

Weights & Biases is based in San Francisco, California.

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