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Azure Architecture Center
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Microsoft's official collection of architecture diagrams, reference architectures, and solution ideas for Azure workloads.
View ↗Azure IoT
service
Microsoft-managed cloud services, edge components, and SDKs to connect, monitor, and control IoT devices at scale.
View ↗Beam CLI
cli
Command-line utility for deploying, managing, and interacting with Beam applications and resources.
View ↗CoreWeave Managed Services
service
CoreWeave Managed Services: Build AI agents, applications, and models Install W&B MCP Develop AI models and ship LLM applications with the W&B platform for experiment tracking, evaluation, and observability.
View ↗W&B CLI
cli
Command line interface for logging in, running jobs, executing sweeps, and managing artifacts.
View ↗W&B Models Public API
api
Programmatic access to runs, projects, artifacts, reports, teams, and related resources.
View ↗W&B Models Python SDK
sdk
Core Python library for experiment tracking, data types, global functions, automations, and custom charts.
View ↗W&B Models SDK
sdk
Python SDK for machine learning experiment tracking and model management.
View ↗W&B Server
saas
Self-hosted and cloud deployment of Weights & Biases experiment tracking platform.
View ↗W&B Weave Python SDK
sdk
Python client for Weave tracing, evaluations, and trace server integration.
View ↗Weave SDK
sdk
Python and TypeScript libraries for tracing, evaluating, and improving LLM and agent applications.
View ↗Weights & Biases MCP
mcp
Weights & Biases MCP: W&B Weave Install W&B MCP Track, test, and improve language model apps with W&B Weave Install W&B MCP W&B Weave is an observability and evaluation platform that helps you track, evaluate, and improve your agents and LLM applications.
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