YuvrajSingh-mist/Paper-Replications
From-scratch PyTorch replications of classic and SOTA AI/ML papers: transformers, attention, GANs, diffusion, CLIP, LoRA, MoE and more, with reproducible training code.
- Stars
- 429
- Forks
- 43
- Open issues
- 1
- Last push
- 15d ago
About Paper-Replications
Paper-Replications is a free, open-source AI resource list by YuvrajSingh-mist, written mainly in Jupyter Notebook. From-scratch PyTorch replications of classic and SOTA AI/ML papers: transformers, attention, GANs, diffusion, CLIP, LoRA, MoE and more, with reproducible training code. It has 429 GitHub stars and 43 forks, and was last updated 15d ago. It's released under the Apache-2.0 license, a standard open-source license.
- License
- Apache-2.0
- Language
- Jupyter Notebook
- Stars
- 429
- Last update
- 15d ago
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Not stated
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Paper-Replications FAQ
Is Paper-Replications free?
Yes. Paper-Replications is open source and free to use. It's released under the Apache-2.0 license, a standard open-source license.
Does Paper-Replications run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does Paper-Replications need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is Paper-Replications still maintained?
Yes. It was last updated 15d ago and has 1 open issues on GitHub.
What are alternatives to Paper-Replications?
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, Papers-in-100-Lines-of-Code.