MaximeVandegar/Papers-in-100-Lines-of-Code
Implementation of papers in 100 lines of code.
This project provides compact code examples for implementing various machine learning and deep learning research papers. It takes a research paper's core algorithm and translates it into a concise, runnable code snippet, making it easier to understand and apply complex concepts. Machine learning researchers, students, and practitioners can use this to quickly grasp and experiment with cutting-edge models and techniques.
2,618 stars. Actively maintained with 2 commits in the last 30 days.
Use this if you want to quickly understand and see a simplified working implementation of a specific machine learning or deep learning research paper.
Not ideal if you need production-ready code, a comprehensive library for building applications, or an in-depth tutorial on machine learning fundamentals.
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2,618
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243
Language
Python
License
MIT
Category
Last pushed
Jan 22, 2026
Commits (30d)
2
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