Source: https://seerepo.com/compare/MLEveryday/100-Days-Of-ML-Code/vs/tensorflow/models
Markdown source: https://seerepo.com/compare/MLEveryday/100-Days-Of-ML-Code/vs/tensorflow/models.md
Description: 100-Days-Of-ML-Code and models share 4 technologies: matplotlib, scikit-learn, TensorFlow, and pillow. Both are written in Python.

# 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.

- [MLEveryday/100-Days-Of-ML-Code](https://seerepo.com/r/MLEveryday/100-Days-Of-ML-Code): 100-Days-Of-ML-Code中文版
- [tensorflow/models](https://seerepo.com/r/tensorflow/models): Models and examples built with TensorFlow

## What they share and what sets them apart

- In common: matplotlib, scikit-learn, TensorFlow, pillow
- Only in 100-Days-Of-ML-Code: Keras, beautifulsoup4
- Only in models: FastAPI, Google, Google Cloud Storage, seaborn, google-auth-oauthlib, cupy-cuda12x, einops, tf-keras, torch, opencv-python, torchvision, sentencepiece, scikit-image, nltk, tritonclient, psutil

## Side by side

| | 100-Days-Of-ML-Code | models |
|---|---|---|
| Size | 2,400 lines written, 25 code files | 644,066 lines written, 1,857 code files |
| Who writes it | 0% of its commits signed by AI | 0% of its commits signed by AI |
| Activity | Last push October 24, 2026, 290 commits, 22,231 stars | Last push November 2, 2026, 8,558 commits, 77,633 stars |
| Tests | 4 test files. 12% of its code files have a test that imports them | 778 test files. 45.4% of its code files have a test that imports them |

- Size: Lines written by people and agents, without generated ones; code files, without tests.
- Who writes it: A commit counts as AI's when it carries its signature: a Co-Authored-By line, its author name or the merge of its branch.
- Activity: From GitHub and its history, on the day SeeRepo read it.
- Tests: The files that test the code, and the share of code files a test imports.

## 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](https://github.com/tensorflow/models/tree/19f287775ae950e22a9b5fb82727e72cff2e3664)

### 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](https://github.com/tensorflow/models)

### 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](https://github.com/tensorflow/models/tree/19f287775ae950e22a9b5fb82727e72cff2e3664)

### 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](https://github.com/tensorflow/models/commits)

## Sources

- MLEveryday/100-Days-Of-ML-Code: Read on November 5, 2026, at commit a6474a2 (https://github.com/MLEveryday/100-Days-Of-ML-Code/tree/a6474a20a1cd8bb3fa3c7fab12ffadf70858810c)
- tensorflow/models: Read on November 4, 2026, at commit 19f2877 (https://github.com/tensorflow/models/tree/19f287775ae950e22a9b5fb82727e72cff2e3664)

## What is your repo built with?

Any public repo, with no account: https://seerepo.com/r/owner/repo/built, with the owner and name it has on GitHub.