Mohamedelrefaie/DrivAerNet
A Large-Scale Multimodal Car Dataset with Computational Fluid Dynamics Simulations and Deep Learning Benchmarks
- Stars
- 555
- Forks
- 87
- Open issues
- 9
- Last push
- 5mo ago
About DrivAerNet
DrivAerNet is a free, open-source machine learning tool by Mohamedelrefaie, written mainly in Python. A Large-Scale Multimodal Car Dataset with Computational Fluid Dynamics Simulations and Deep Learning Benchmarks. It has 555 GitHub stars and 87 forks, and was last updated 5mo ago. GitHub doesn't detect a standard license, so check the repository before using it commercially.
- License
- Not detected
- Language
- Python
- Stars
- 555
- Last update
- 5mo ago
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Not stated
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DrivAerNet FAQ
Is DrivAerNet free?
Yes. DrivAerNet is open source and free to use. GitHub doesn't detect a standard license, so check the repository before using it commercially.
Does DrivAerNet run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does DrivAerNet need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is DrivAerNet still maintained?
It was last updated 5mo ago. Check recent issues on GitHub to judge how active it is.
What are alternatives to DrivAerNet?
Similar free, open-source tools include superset, Hunyuan3D-2, ludwig, SDV.