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Awesome GitHub RepositoriesPrediction Persistence Layers
Mechanisms for storing and managing the outputs of machine learning models within database-native structures.
Distinguishing note: Focuses on the persistence of inference results rather than general-purpose data storage or model training artifacts.
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Awesome Prediction Persistence Layers GitHub Repositories
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- mindsdb/mindsdb
mindsdb/mindsdb
38,530View on GitHubMindsDB is an AI-native database engine that treats machine learning models and autonomous agents as virtual tables. By mapping external data sources, predictive models, and third-party services directly into the database schema, it enables users to perform inference, data retrieval, and complex orchestration using standard SQL syntax. The platform distinguishes itself through an autonomous agent orchestrator that executes iterative reasoning loops, allowing agents to plan data access and synthesize natural language responses from connected knowledge bases. It functions as a federated data ga
The platform allows users to save machine learning prediction results into persistent formats, including CSV files, database tables, and virtual views.
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