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TESSERA is a foundation model that can process time-series satellite imagery for applications such as land classification and canopy height prediction. Developed at the University of Cambridge, it …
Fused MCP Agents: Setting up MCP Servers for Data Scientists
UnionML: the easiest way to build and deploy machine learning microservices
Download and access remote sensing data from any platform
Book about interpretable machine learning
Repository with training material to learn all about Azure Functions <⚡>
A monitoring/debugging UI tool for Azure Durable Functions
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Real-time updates from Cosmos DB Change Feed with Azure Functions and SignalR Service
KEDA is a Kubernetes-based Event Driven Autoscaling component. It provides event driven scale for any container running in Kubernetes
Functions tooling metadata feed consumed by Visual Studio, Visual Studio Code, and other tools
Sample Code for Azure Functions
Facebook Photo selector widget in reactjs