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DevOps & Cloud
Deployment, cloud, containers, CI/CD, monitoring, and infrastructure
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Showing 10,225–10,248 of 20,288 skills
- Installation Operations"Install, operate, diagnose, back up, restore, upgrade, andVotes: 0GitHub stars: 247
- Training"Build, debug, and explain ms-swift pre-training and supervisedVotes: 0GitHub stars: 247
- Inference Deployment"Run and debug ms-swift inference, app, deployment, backendVotes: 0GitHub stars: 247
- Export EvaluationExport, quantize, push, and EvalScope-evaluate ms-swift models safely.Votes: 0GitHub stars: 247
- Data Model Customization"Customize ms-swift datasets, registries, plugins, models, andVotes: 0GitHub stars: 247
- Advanced Rl Distributed"Plan and debug advanced ms-swift RLHF, GRPO/GKD, rollout, Ray, andVotes: 0GitHub stars: 247
- Ms Swift"Use ms-swift for LLM and multimodal training, inference,Votes: 0GitHub stars: 247
- Model Inference"Run or plan Motus CUDA inference for real-world images andVotes: 0GitHub stars: 247
- Monai"Use MONAI, the PyTorch-based medical imaging AI toolkit, forVotes: 0GitHub stars: 247
- Hub And Cli"Use ModelScope Hub, cache, download/upload, and CLI workflowsVotes: 0GitHub stars: 247
- Inference Visualization"Guide MMYOLO image/video inference, LabelMe export, large-imageVotes: 0GitHub stars: 247
- Config Customization"Choose, customize, and validate MMYOLO model-family configsVotes: 0GitHub stars: 247
- Data Configuration"Configure MMSegmentation configs, datasets, transforms, classVotes: 0GitHub stars: 247
- Training And Evaluation"Inspect MMPreTrain configs, plan train/test commands, and chooseVotes: 0GitHub stars: 247
- Model Zoo Inference"Operate MMPreTrain model zoo discovery, inference APIs, taskVotes: 0GitHub stars: 247
- Datasets And Customization"Route dataset layouts, annotation validation, pipeline design, andVotes: 0GitHub stars: 247
- Mmpretrain"Operate MMPreTrain model-zoo inference, config-driven training andVotes: 0GitHub stars: 247
- Training And Distribution"Guides MMGeneration training, resume, distributed launch, andVotes: 0GitHub stars: 247
- Evaluation And Metrics"Guides MMGeneration evaluation commands, metric selection, andVotes: 0GitHub stars: 247
- Configuration And Extension"Guides MMGeneration config authoring, dataset layout, registryVotes: 0GitHub stars: 247
- Applications And Deployment"Guides MMGeneration latent editing, interpolation, projection,Votes: 0GitHub stars: 247
- Mmgeneration"Routes MMGeneration tasks across sampling, training, evaluation,Votes: 0GitHub stars: 247
- Data Structures And Io"Design, validate, and troubleshoot MMEngine datasets, transforms,Votes: 0GitHub stars: 247
- Mmengine"Use MMEngine to configure, train, evaluate, inspect, visualize,Votes: 0GitHub stars: 247