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Awesome GitHub RepositoriesMachine Learning Model Formats
Portable file formats for exporting and loading trained models across different environments.
Distinguishing note: Focuses on portability and serialization, distinct from model execution.
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Awesome Machine Learning Model Formats GitHub Repositories
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- surrealdb/surrealdb
surrealdb/surrealdb
31,235View on GitHubSurrealDB is a multi-model database engine designed to store and query document, graph, relational, and vector data within a single ACID-compliant platform. It functions as an AI-native data store, integrating vector search, graph traversal, and machine learning model execution directly into its query layer. By providing a unified declarative query language, the platform eliminates the need for external middleware to synchronize data across different storage models. The platform distinguishes itself through its ability to manage agent memory and complex workflows natively. It allows developer
Saves trained machine learning models into a portable file format that allows cross-language loading and execution.
Rustbackend-as-a-servicecloud-databasedatabase
