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GokuMohandas/Made-With-ML — repository provides code and lessons for building and d | Sourcevana

HomeML Training & InferenceMade-With-ML

Made-With-ML

by GokuMohandas

This repository provides code and lessons for building and deploying production-ready machine learning applications.

Verified Snapshot (846.3 KB)

Jupyter Notebook47.9K7.5KUpdated 3mo ago

GitHub

Quick Overview

What is this?

The Made With ML course guides you from initial design and development through to deployment and iteration using practical examples. You'll use Jupyter Notebooks to illustrate software engineering best practices for ML, allowing you to follow along with lessons on `madewithml.com` and experiment with the provided code.

What problem does it solve?

This repository provides code and lessons for building and deploying production-ready machine learning applications.

Who should use it?

Developers looking to learn the full lifecycle of machine learning model development and deployment.

Setup difficulty:Medium

Pros

Teaches the complete ML application lifecycle from design to iteration.
Includes best practices for integrating software engineering with ML.

Provides practical code examples in Jupyter Notebooks to follow along.

Cons

Core lesson content lives on an external website, `madewithml.com`.
Code examples are primarily in Jupyter Notebooks, which some teams might convert for pure production use.

Scores

Trust Score

Star reputation (15%)94

Star velocity 7d (15%)0

Commit recency (15%)20

Fork ratio (10%)52

Issue ratio (10%)99

Contributor signal (10%)100

README quality (5%)100

License (5%)100

Homepage/demo (5%)100

Docs URL (5%)0

Topic count (5%)100

Maintenance

Commit frequency60

Issue management80

Documentation85

Popularity

Stars100

Forks100

Growth trend10

Star History

Snapshot Versions

Version	Commit	Size	Downloads	Date
latestLatest	HEAD	846.3 KB	4	1mo ago

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README

Made With ML

Design · Develop · Deploy · Iterate
Join 40K+ developers in learning how to responsibly deliver value with ML.

🔥 Among the top ML repositories on GitHub

Lessons

Learn how to combine machine learning with software engineering to design, develop, deploy and iterate on production-grade ML applications.

Lessons: https://madewithml.com/
Code: GokuMohandas/Made-With-ML

Trust Score

Sourcevana Trust · 66/100

License

MIT

Languages

Jupyter Notebook97.8%

Python2.1%

Other0.1%

Topics

data-engineering data-quality data-science deep-learning distributed-ml distributed-training llms machine-learning mlops natural-language-processing python pytorch+1 more

Homepage

AddedMay 4, 2026

UpdatedJun 18, 2026

Last commit3mo ago

Browse more in ML Training & Inference View all repos by GokuMohandas

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Sourcevana Trust · 66/100

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