MaximeVandegar/Papers-in-100-Lines-of-Code
Implementation of papers in 100 lines of code.
- Stars
- 2.9k
- Forks
- 255
- Open issues
- 0
- Last push
- 1d ago
About Papers-in-100-Lines-of-Code
Papers-in-100-Lines-of-Code is a free, open-source AI resource list by MaximeVandegar, written mainly in Python. Implementation of papers in 100 lines of code. It has 2.9k GitHub stars and 255 forks, and was last updated 1d ago. It's released under the MIT license, a standard open-source license.
- License
- MIT
- Language
- Python
- Stars
- 2,904
- Last update
- 1d ago
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Not stated
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Papers-in-100-Lines-of-Code FAQ
Is Papers-in-100-Lines-of-Code free?
Yes. Papers-in-100-Lines-of-Code is open source and free to use. It's released under the MIT license, a standard open-source license.
Does Papers-in-100-Lines-of-Code run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does Papers-in-100-Lines-of-Code need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is Papers-in-100-Lines-of-Code still maintained?
Yes. It was last updated 1d ago and has 0 open issues on GitHub.
What are alternatives to Papers-in-100-Lines-of-Code?
Similar free, open-source tools include 500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code, CVPR2026-Papers-with-Code, Prompt-Engineering-Guide, diffusion-literature-for-robotics.