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This PR adds the Weights and Biases Provider.
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.
The primary objective of this Provider is to allow developers to perform experiment tracking, model evaluation, hyperparameter tuning, model and dataset versioning, and more.
Example DAG:
The WandBOperator