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Search ML Pipelines , found 36 results

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AI/ML Workflow Bundle

sickn33/antigravity-awesome-skills

AI and machine learning workflow covering LLM application development, RAG implementation, agent architecture, ML pipelines, and AI-powered features.

AI/ML Workflow Bundle

sickn33/antigravity-awesome-skills

AI and machine learning workflow covering LLM application development, RAG implementation, agent architecture, ML pipelines, and AI-powered features.

Azure ML SDK Python

sickn33/antigravity-awesome-skills

Client library to manage Azure Machine Learning resources—workspaces, datasets, compute, jobs, models, environments, and pipelines—directly from Python with MLClient authentication, configuration, and best practices for reproducible workflows.

Azure ML SDK Python

sickn33/antigravity-awesome-skills

Client library to manage Azure Machine Learning resources—workspaces, datasets, compute, jobs, models, environments, and pipelines—directly from Python with MLClient authentication, configuration, and best practices for reproducible workflows.

Azure ML Deployer

azure-ml-deployer

jeremylongshore/claude-code-plugins-plus-skills

Automates Azure ML Deployer workflows by offering best-practice guidance, code/config generation, and validation for serving, MLOps pipelines, monitoring, and production optimization.

Azure ML Deployer

azure-ml-deployer

jeremylongshore/claude-code-plugins-plus-skills

Automates Azure ML Deployer workflows by offering best-practice guidance, code/config generation, and validation for serving, MLOps pipelines, monitoring, and production optimization.

Canary Deployment Setup

canary-deployment-setup

jeremylongshore/claude-code-plugins-plus-skills

Provides automated guidance for setting up canary deployments in ML production environments, covering model serving, MLOps pipelines, monitoring, and configuration validation.

Batch Inference Pipeline

batch-inference-pipeline

jeremylongshore/claude-code-plugins-plus-skills

Guides ML teams through automated batch inference pipelines, suggesting best practices, monitoring and production readiness, and generating code and configs for deployment.

AutoML Pipeline Builder

building-automl-pipelines

jeremylongshore/claude-code-plugins-plus-skills

Builds AutoML pipelines by analyzing user requests, generating code for data preparation, model selection, hyperparameter tuning, validation, and metrics, then documenting artifacts for streamlined automated machine learning workflows.

Data Augmentation Pipeline

data-augmentation-pipeline

jeremylongshore/claude-code-plugins-plus-skills

Guides ML training teams through data augmentation pipelines, offering best practices, code/config generation, validation, and experiment-tracking support so pipelines stay production-ready.

Deepgram CI Integration

deepgram-ci-integration

jeremylongshore/claude-code-plugins-plus-skills

Streamlines configuring Deepgram CI/CD pipelines with automated tests, linting, staging deployments, and scheduled key rotation so GitHub or GitLab flows continuously validate and deploy Deepgram integrations.

Docker Build Best Practices

docker-best-practices

rohitg00/awesome-claude-code-toolkit

Collects Docker build, compose, and runtime tips including multi-stage builds, isolated dependencies, compose healthchecks, .dockerignore, image analysis, and security anti-patterns to streamline container pipelines.

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