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Weights & Biases
Machine learning experiment tracking, dataset versioning, and model evaluation
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.
Set up W&B in 5 minutes, then quickly iterate on your machine learning pipeline with the confidence that your datasets and models are tracked and versioned in a reliable system of record.

Guides

    1.
    Experiment Tracking: Visualize experiments in real time
    2.
    Integrations: PyTorch, Keras, Hugging Face, and more
    3.
    Hyperparameter Tuning: Optimize models quickly
    4.
    Data + Model Versioning: Version datasets and models
    5.
    Data Visualization: Visualize predictions across model versions
    6.
    Collaborative Reports: Describe and share findings
    7.
    Self-Hosting: Private cloud and local hosting of the W&B app

Reference

Last modified 1mo ago
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