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Awesome GitHub RepositoriesML Engine Dynamic Loading
Runtime loading of deep learning backend libraries based on hardware and environment detection.
Distinct from Dynamic Library Loading: Specific to ML backend libraries rather than general system plugins or web assets.
Explore 1 awesome GitHub repository matching operating systems & systems programming · ML Engine Dynamic Loading. Refine with filters or upvote what's useful.
Awesome ML Engine Dynamic Loading GitHub Repositories
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- deepjavalibrary/djl
deepjavalibrary/djl
4,828GitHub पर देखेंDeep Java Library is a Java deep learning framework and JVM model inference engine. It provides a high-level API for building and deploying deep learning models within the Java ecosystem, acting as a cross-platform runtime for executing models across CPUs, GPUs, and mobile devices. The library is engine-agnostic, allowing users to switch between different deep learning engines such as PyTorch, TensorFlow, and MXNet while maintaining a single unified API. This enables the deployment of the same model across different backends without changing the application code. The framework supports the f
Implements a mechanism to load specific machine learning backend libraries at runtime based on the detected hardware.
Java
