100-Days-Of-ML-Code vs models

100-Days-Of-ML-Code and models share 4 technologies: matplotlib, scikit-learn, TensorFlow, and pillow. Both are written in Python.

Read it as markdown

What they share and what sets them apart

In common

tensorflow

models

Models and examples built with TensorFlow

Python77.6kRead on November 4, 2026, at commit 19f2877What is models built with?

Only in models

Side by side

SizeLines written by people and agents, without generated ones; code files, without tests.
100-Days-Of-ML-Code2,400 lines written25 code files
models644,066 lines written1,857 code files
Who writes itA commit counts as AI's when it carries its signature: a Co-Authored-By line, its author name or the merge of its branch.
100-Days-Of-ML-Code0% of its commits signed by AI
models0% of its commits signed by AI
ActivityFrom GitHub and its history, on the day SeeRepo read it.
100-Days-Of-ML-CodeLast push October 24, 2026290 commits22,231 stars
modelsLast push November 2, 20268,558 commits77,633 stars
TestsThe files that test the code, and the share of code files a test imports.
100-Days-Of-ML-Code4 test files12% of its code files have a test that imports them
models778 test files45.4% of its code files have a test that imports them

Frequently asked questions

Which is bigger, 100-Days-Of-ML-Code or models?
models, with 644,066 lines written; 100-Days-Of-ML-Code has 2,400.

The proof: tensorflow/models's code at commit 19f2877

Which has more GitHub stars, 100-Days-Of-ML-Code or models?
models, with 77,633 stars; 100-Days-Of-ML-Code has 22,231.

The proof: tensorflow/models on GitHub

Which has more tests, 100-Days-Of-ML-Code or models?
models, with 778 test files; 100-Days-Of-ML-Code has 4.

The proof: tensorflow/models's code at commit 19f2877

Which was updated more recently, 100-Days-Of-ML-Code or models?
models: its last push was on November 2, 2026, and 100-Days-Of-ML-Code's on October 24, 2026.

The proof: tensorflow/models's commits on GitHub

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