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Showing 2 open source projects for "recover"
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Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
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The Edge Machine Learning library
Machine learning algorithms for edge devices
Machine learning models for edge devices need to have a small footprint in terms of storage, prediction latency, and energy. One instance of where such models are desirable is resource-scarce devices and sensors in the Internet of Things (IoT) setting. Making real-time predictions locally on IoT devices without connecting to the cloud requires models that fit in a few kilobytes.These algorithms can train models for classical supervised learning problems with memory requirements that are... -
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Connection pool: manage SQL in file, Strong (auto recover/detect connection) Data persistence: Store/fetch java object from/to DB/XML/PureText. configable XML: extend W3C DOM Programming: extend java, (multi-line properties etc.)
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