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Awesome GitHub RepositoriesModel Benchmarking Interfaces
Standardized interfaces for wrapping and testing various machine learning models against consistent evaluation criteria.
Distinguishing note: Focuses on the integration layer for testing arbitrary models rather than the agent-specific logic.
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Awesome Model Benchmarking Interfaces GitHub Repositories
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- mlflow/mlflow
mlflow/mlflow
24,319View on GitHubTest registered models against defined datasets and scorers by wrapping them in a prediction function and passing them to the evaluation interface.
Pythonagentopsagentsai
