Made-With-ML

Learn how to design, develop, deploy and iterate on production-grade ML applications.

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Builder

GokuMohandas

GokuMohandas • individual

Stars

47,080

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Forks

7,395

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Activity Score

0/100

0 commits in 30d

Created

Nov 5, 2018

Project creation date

README Summary

Made-With-ML is a comprehensive educational resource that teaches end-to-end machine learning application development from design to deployment. The repository provides hands-on tutorials and best practices for building production-grade ML systems. It covers the complete MLOps lifecycle including model development, testing, deployment, and iteration strategies.

AI Dev Skills

Unmapped

Tags

MLOps and ML EngineeringModel Training and OptimizationML System Design and ArchitectureModel Deployment and ServingML Pipeline DevelopmentData Engineering for MLModel Monitoring and ObservabilityCI/CD for Machine LearningFeature EngineeringModel Versioning and ManagementProduction ML Best PracticesDistributed TrainingModel Performance OptimizationML Testing and ValidationProduction AI SystemsEnd-to-end ML Workflow LearningSelf-hostedML Engineering EducationProduction ML System DevelopmentScalable ML InfrastructureMLOps ImplementationML Engineering Best PracticesModel Deployment TrainingMLOpsML Pipeline AutomationEducationCloud APIOn-premiseTabularTextDeveloper ToolsJupyter Notebook

Recent Activity

Updated 28 days ago

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Quality

production

Quality: high
Maturity: production

PM Skills

Scale & ReliabilityDeveloper Platform

Languages

Jupyter Notebook100.0%

Timeline

Project created: Nov 5, 2018
Forked: Nov 4, 2025
Your last push: 28 days ago
Upstream last push: 1 months ago
Tracked since: Mar 17, 2026

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