Weights and biases

[wtm_mlop_cats]

Weights & Biases is the machine learning platform for developers to build better models faster. Use W&B’s lightweight, interoperable tools to quickly track experiments, version and iterate on datasets, evaluate model performance, reproduce models, visualize results and spot regressions, and share findings with colleagues.

Features

Integrate quickly: Track, compare, and visualize ML experiments with 5 lines of code. Free for academic and open source projects.

Visualize Seamlessly: 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.

Collaborate in real time: Explain how your model works, show graphs of how model versions improved, discuss bugs, and demonstrate progress towards milestones.

Official website

Tutorial and documentation

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