Skills tagged "mlops"

azure-mgmt-weightsandbiases-dotnet - Manage Azure Weights & Biases instances using .NET SDK
azure dotnet weights-and-biases sdk
★ 2 · Updated 2026-09-23
Deploy, configure, list, update, and delete Azure Weights & Biases instances and SSO settings via the Azure Resource Manager .NET SDK.
⚙ Create Weights & Biases instances ⚙ Retrieve existing instance details ⚙ List instances in subscription
ai-architect-expert - Expert guidance for AI system and MLOps architecture.
ai-architecture mlops system-design ai-infrastructure
★ 2 · Updated 2026-09-23
Provides guidance for AI system design, MLOps architecture, scalable ML infrastructure, and AI platform engineering.
⚙ Design AI system architectures ⚙ Implement MLOps infrastructure ⚙ Build model registries
machine-learning-ops-ml-pipeline - Machine Learning Pipeline - Multi-Agent MLOps Orchestration
mlops machine-learning pipeline multi-agent
★ 0 · Updated 2026-09-23
Designs and implements end-to-end machine learning pipelines using multi-agent orchestration for data, training, deployment, and monitoring.
⚙ Design data pipelines ⚙ Implement model training workflows ⚙ Optimize machine learning code
cncf-kubeflow-pipelines-reviewer - Review Kubeflow Pipelines code, configuration, and operations.
kubeflow-pipelines cncf code-review devsecops
★ 0 · Updated 2026-09-21
Review and operate Kubeflow Pipelines using official documentation, repository evidence, and CNCF classification.
⚙ Review Kubeflow Pipelines code and configuration ⚙ Detect installed version and deployment model ⚙ Inspect identity security and operational boundaries
ml-pipeline-workflow - End-to-End MLOps Pipeline Orchestration Guide
mlops pipeline orchestration data-preparation
★ 0 · Updated 2026-09-18
Provides comprehensive guidance for building end-to-end MLOps pipelines from data preparation to model deployment.
⚙ Design pipeline architecture ⚙ Prepare feature engineering pipelines ⚙ Orchestrate model training jobs
mlops-best-practices - MLOps Best Practices Guide
mlops machine learning model deployment model monitoring
★ 84 · Updated 2026-06-15
MLOps practices for model versioning, tracking, deployment, monitoring, and retraining workflows
⚙ track experiments ⚙ version models ⚙ deploy models
track-ml-experiments - MLflow Experiment Tracking Setup
mlflow experiment-tracking autologging artifacts
★ 34 · Updated 2026-06-15
Set up MLflow tracking server with autologging, metrics comparison, and artifact management for ML experiments.
⚙ set up tracking server ⚙ enable framework autologging ⚙ log metrics and parameters
sagemaker - Amazon SageMaker Management via CLI
aws sagemaker machine learning mlops
★ 3 · Updated 2026-05-28
Manage Amazon SageMaker notebooks, training jobs, models, endpoints, and pipelines via AWS CLI.
⚙ list notebook instances ⚙ describe notebook instance ⚙ list training jobs
Deploying Machine Learning Models - Deploy ML models to production with automated workflows
machine-learning deployment production api
★ 2,781 · Updated 2026-02-13
Deploys trained machine learning models to production environments for serving via APIs
⚙ analyze deployment requirements ⚙ generate deployment code ⚙ deploy to production environment
torchserve-config-generator - TorchServe Configuration Generator for ML Deployment
mlops serving inference monitoring
★ 18 · Updated 2026-02-12
Generates TorchServe configuration files for machine learning model deployment
⚙ provide step-by-step guidance ⚙ generate production-ready code ⚙ generate configurations
torchserve-config-generator - Automated TorchServe Configuration Generator for ML Deployment
mlops serving inference monitoring
★ 602 · Updated 2026-02-12
Automatically generates and validates TorchServe configuration files for machine learning deployment
⚙ generate configuration files ⚙ validate configuration standards ⚙ provide step-by-step guidance