What is 100-Days-Of-ML-Code built with?
100-Days-Of-ML-Code is a Python repo. It uses AI through Keras, scikit-learn, and TensorFlow and makes its content with beautifulsoup4 and pillow. It has 2,400 written lines, with 4 test files.
Read on November 5, 2026, at commit a6474a2. Read it as markdown
Frontend
Interface 1
matplotlib12 files
Backend
AI 3
- scikit-learn17 files
- TensorFlow4 files
- Keras
Other repos with a similar stack
Ordered by how much of its stack they share with 100-Days-Of-ML-Code, then by stars.
- rohitg00ai-engineering-from-scratch76.9k
Learn AI Engineering! Learn it. Build it. Ship it for others.
3 of 12 in commonCompare →
Frequently asked questions
What language is 100-Days-Of-ML-Code written in?
100-Days-Of-ML-Code is written in Python, with 2,400 written lines.
Does 100-Days-Of-ML-Code use AI?
Yes. 100-Days-Of-ML-Code uses AI through Keras, scikit-learn, and TensorFlow.
Does 100-Days-Of-ML-Code have tests?
Yes. 100-Days-Of-ML-Code has 4 test files.
Which repos have a stack like 100-Days-Of-ML-Code's?
The ones that share most of its stack:datawhalechina/hello-agentstensorflow/modelsunslothai/unsloth
See inside your code, today.
Paste your repo and see it drawn, part by part: a medium one in under a minute.
Free, no account.
Is it your repo? Add its badge, keep it up to date or take it down →

