Alternatives to Weights Biases
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Weights & Biases (W&B) is a machine learning experiment tracking and MLOps platform founded in 2017 by Lukas Biewald, Chris Van Pelt, and Shawn Lewis. W&B's core product is experiment tracking with a developer experience that won it adoption across the AI research community: a Python SDK (wandb.init(), wandb.log(), wandb.watch()) that logs metrics, hyperparameters, gradients, images, audio, video, and 3D point clouds with minimal code changes.
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