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GokuMohandas/Made-With-ML

Made-With-ML

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

View on GitHub↗Upstream GokuMohandas/Made-With-ML↗

Builder

GokuMohandas

GokuMohandas

GokuMohandas • individual

Stars

47,751

Using upstream star count

Forks

7,531

Using upstream fork count

Open Issues

0

Activity Score

0/100

0 commits in 30d

Created

Nov 5, 2018

Project creation date

README Summary

<div align="center"> <h1><img width="30" src="https://madewithml.com/static/images/rounded_logo.png">&nbsp;<a href="https://madewithml.com/">Made With ML</a></h1> Design · Develop · Deploy · Iterate <br> Join 40K+ developers in learning how to responsibly deliver value with ML. <br> </div>

Community Evaluation

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AI Dev Skills

Unmapped

CI/CD for Machine LearningData Engineering for MLDistributed TrainingFeature EngineeringMLOps and ML EngineeringML Pipeline DevelopmentML System Design and ArchitectureML Testing and ValidationModel Deployment and ServingModel Monitoring and ObservabilityModel Performance OptimizationModel Training and OptimizationModel Versioning and ManagementProduction ML Best Practices

Tags

CI/CD for Machine LearningData Engineering for MLDistributed TrainingFeature EngineeringMLOps and ML EngineeringML Pipeline DevelopmentML System Design and ArchitectureML Testing and ValidationModel Deployment and ServingModel Monitoring and ObservabilityModel Performance OptimizationModel Training and OptimizationModel Versioning and ManagementProduction ML Best PracticesAWSCourseData ScienceEvalsForkedGoogle CloudJupyterKubernetesLarge Language ModelsMLOpsMLflowMachine LearningPythonTransformersWeights & Biases

Taxonomy

AI Trends

MLOpsProduction AI SystemsML Engineering Best PracticesScalable ML Infrastructure

category

Foundation ModelsEvals & BenchmarkingObservability & MonitoringMLOps & InfrastructureCloud & PlatformsLearning ResourcesData Science & Analytics

Deployment Context

Cloud APISelf-hostedOn-premise

Industries

EducationDeveloper Tools

Modalities

TextTabular

Skill Areas

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 Validation

tag

AWSCourseData ScienceEvalsForkedGoogle CloudJupyterKubernetesLarge Language ModelsMLOpsMLflowMachine LearningPythonTransformersWeights & Biases

Use Cases

ML Engineering EducationProduction ML System DevelopmentMLOps ImplementationML Pipeline AutomationModel Deployment TrainingEnd-to-end ML Workflow Learning

Recent Activity

Updated 2 months ago

7 Days

0

30 Days

0

90 Days

1

release: trigger release prior to agentic workflow updates

Goku Mohandas • Mar 4, 2026

3361aeb

Quality

production
Quality
high
Maturity
production

Categories

Evals & BenchmarkingPrimaryObservability & MonitoringMLOps & InfrastructureCloud & PlatformsLearning ResourcesData Science & AnalyticsFoundation ModelsML Platform & InfrastructureSafety & AlignmentOther AI / ML

PM Skills

Scale & ReliabilityData & Evaluation

Languages

Jupyter Notebook100.0%

Timeline

Project created
Nov 5, 2018
Forked
Nov 4, 2025
Your last push
2 months ago
Upstream last push
3 months ago
Tracked since
Mar 17, 2026

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