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graviraja/MLOps-Basics

MLOps-Basics

MLOps-Basics is an educational repository that provides hands-on tutorials and examples for implementing Machine Learning Operations (MLOps) practices.

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Builder

graviraja

graviraja • individual

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8,789

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Forks

1,745

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Activity Score

0/100

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Created

May 2, 2021

Project creation date

README Summary

MLOps-Basics is an educational repository that provides hands-on tutorials and examples for implementing Machine Learning Operations (MLOps) practices. The repository covers fundamental MLOps concepts including model deployment, monitoring, CI/CD pipelines, and automation workflows using popular tools and frameworks. It serves as a comprehensive learning resource for practitioners looking to understand and implement MLOps best practices.

AI Dev Skills

Unmapped

MLOps EngineeringML Pipeline DevelopmentModel DeploymentML Workflow ManagementProduction ML SystemsML Model MonitoringContinuous Integration for MLModel VersioningExperiment Tracking

Taxonomy

AI Trends

MLOps Production ML Systems ML Engineering

Deployment Context

Cloud Self-hosted

Skill Areas

MLOps Engineering ML Pipeline Development Model Deployment ML Workflow Management Production ML Systems ML Model Monitoring Continuous Integration for ML Model Versioning Experiment Tracking

Use Cases

ML Engineering Education MLOps Workflow Learning Production ML Pipeline Implementation ML Model Lifecycle Management

Recent Activity

Updated 1 years ago

7 Days

30 Days

90 Days

Quality

research

Quality: medium
Maturity: research

PM Skills

Scale & ReliabilityDeveloper Platform

Languages

Jupyter Notebook100.0%

Timeline

Project created: May 2, 2021
Forked: Nov 8, 2025
Your last push: 1 years ago
Upstream last push: 1 years ago
Tracked since: Sep 22, 2024

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