Community Plugin

machine-learning-ops

ML model training pipelines, hyperparameter tuning, model deployment automation, experiment tracking, and MLOps workflows

1.2.1

Updated 10 days ago

AI Insight

Automates ML model training pipelines, hyperparameter tuning, deployment, and experiment tracking for MLOps workflows.

Why this plugin

Streamlines the entire ML lifecycle from experiment to production, reducing manual overhead and improving reproducibility compared to piecemeal scripting.

Prerequisites

Requires ML frameworks like TensorFlow/PyTorch and optionally tools like MLflow for experiment tracking.

machine learning

mlops

automation

Install

Add the repository(one-time)

/plugin marketplace add hermeticormus/libreuiux-claude-code

Install the plugin

/plugin install machine-learning-ops@claude-code-workflows

Components

Commands

Machine Learning Pipeline - Multi-Agent MLOps Orchestration

/ml-pipeline

inherits

Design and implement a complete ML pipeline for: $ARGUMENTS

Agents

Expert data scientist for advanced analytics, machine learning, and statistical modeling. Handles complex data analysis, predictive modeling, and business intelligence. Use PROACTIVELY for data analysis tasks, ML modeling, statistical analysis, and data-driven insights.

Build production ML systems with PyTorch 2.x, TensorFlow, and modern ML frameworks. Implements model serving, feature engineering, A/B testing, and monitoring. Use PROACTIVELY for ML model deployment, inference optimization, or production ML infrastructure.

Build comprehensive ML pipelines, experiment tracking, and model registries with MLflow, Kubeflow, and modern MLOps tools. Implements automated training, deployment, and monitoring across cloud platforms. Use PROACTIVELY for ML infrastructure, experiment management, or pipeline automation.

Skills

ml-pipeline-workflow

inherits

Build end-to-end MLOps pipelines from data preparation through model training, validation, and production deployment. Use when creating ML pipelines, implementing MLOps practices, or automating model training and deployment workflows.

Stats

Stars5

MaintenanceExcellent

Last Commit10 days ago

Community Promotion

Collections

Links

View on GitHub

View README

Plugin Marketplace JSON

Homepage

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v2.0.1