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DevOps & Cloud · Microsoft Azure · microsoft/physical-ai-toolchain
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Skills
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Submit, monitor, analyze, and evaluate LeRobot imitation learning training jobs on OSMO with Azure ML MLflow integration and inference evaluation - Brought to you by microsoft/physical-ai-toolchain | microsoft/ | 126 | — | ~3.8k | Automated safety check: Notes | MIT | yesterday |
| 2 | Set up a K3s cluster on an NVIDIA GPU host, connect it to Azure Arc, and configure Azure ML to use it as a Kubernetes compute target. | microsoft/ | 126 | — | ~5.7k | Automated safety check: Notes | MIT | yesterday |
| 3 | Generate, transfer, and consume environment-specific Azure, AKS, OSMO, ACR, and Azure ML deployment bundles. | microsoft/ | 126 | — | ~5.9k | Automated safety check: Pass | MIT | yesterday |
| 4 | Deploy trained robot policies to edge fleets via FluxCD GitOps, image automation, and deployment gating | microsoft/ | 126 | — | ~518 | Automated safety check: Pass | MIT | yesterday |
| 5 | Monitor robot fleet telemetry via Azure IoT Operations, drift detection, Grafana dashboards, and Fabric analytics | microsoft/ | 126 | — | ~598 | Automated safety check: Pass | MIT | yesterday |
| 6 | Deploy and manage Azure infrastructure for the Physical AI Toolchain including Terraform IaC, Kubernetes setup, GPU configuration, and network topology | microsoft/ | 126 | — | ~1.6k | Automated safety check: Pass | MIT | yesterday |
