SkalskiP/top-cvpr-2023-papers
This repository is a curated collection of the most exciting and influential CVPR 2023 papers. 🔥 [Paper + Code]
- Stars
- 650
- Forks
- 61
- Open issues
- 0
- Last push
- 6mo ago
About top-cvpr-2023-papers
top-cvpr-2023-papers is a free, open-source AI resource list by SkalskiP, written mainly in Python. This repository is a curated collection of the most exciting and influential CVPR 2023 papers. 🔥 [Paper + Code]. It has 650 GitHub stars and 61 forks, and was last updated 6mo ago. It uses the CC0-1.0 license; check its terms before commercial use.
- License
- CC0-1.0
- Language
- Python
- Stars
- 650
- Last update
- 6mo ago
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Not stated
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top-cvpr-2023-papers FAQ
Is top-cvpr-2023-papers free?
Yes. top-cvpr-2023-papers is open source and free to use. It uses the CC0-1.0 license; check its terms before commercial use.
Does top-cvpr-2023-papers run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does top-cvpr-2023-papers need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is top-cvpr-2023-papers still maintained?
It was last updated 6mo ago. Check recent issues on GitHub to judge how active it is.
What are alternatives to top-cvpr-2023-papers?
Similar free, open-source tools include CVPR2026-Papers-with-Code, 500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code, anomaly-detection-resources, top-cvpr-2025-papers.